# Django Rest Framework
> Auth needs to be pluggable.
---
---
source:
- authentication.py
---
# Authentication
> Auth needs to be pluggable.
>
> — Jacob Kaplan-Moss, ["REST worst practices"][cite]
Authentication is the mechanism of associating an incoming request with a set of identifying credentials, such as the user the request came from, or the token that it was signed with. The [permission] and [throttling] policies can then use those credentials to determine if the request should be permitted.
REST framework provides several authentication schemes out of the box, and also allows you to implement custom schemes.
Authentication always runs at the very start of the view, before the permission and throttling checks occur, and before any other code is allowed to proceed.
The `request.user` property will typically be set to an instance of the `contrib.auth` package's `User` class.
The `request.auth` property is used for any additional authentication information, for example, it may be used to represent an authentication token that the request was signed with.
!!! note
Don't forget that **authentication by itself won't allow or disallow an incoming request**, it simply identifies the credentials that the request was made with.
For information on how to set up the permission policies for your API please see the [permissions documentation][permission].
## How authentication is determined
The authentication schemes are always defined as a list of classes. REST framework will attempt to authenticate with each class in the list, and will set `request.user` and `request.auth` using the return value of the first class that successfully authenticates.
If no class authenticates, `request.user` will be set to an instance of `django.contrib.auth.models.AnonymousUser`, and `request.auth` will be set to `None`.
The value of `request.user` and `request.auth` for unauthenticated requests can be modified using the `UNAUTHENTICATED_USER` and `UNAUTHENTICATED_TOKEN` settings.
## Setting the authentication scheme
The default authentication schemes may be set globally, using the `DEFAULT_AUTHENTICATION_CLASSES` setting. For example.
REST_FRAMEWORK = {
'DEFAULT_AUTHENTICATION_CLASSES': [
'rest_framework.authentication.BasicAuthentication',
'rest_framework.authentication.SessionAuthentication',
]
}
You can also set the authentication scheme on a per-view or per-viewset basis,
using the `APIView` class-based views.
from rest_framework.authentication import SessionAuthentication, BasicAuthentication
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework.views import APIView
class ExampleView(APIView):
authentication_classes = [SessionAuthentication, BasicAuthentication]
permission_classes = [IsAuthenticated]
def get(self, request, format=None):
content = {
'user': str(request.user), # `django.contrib.auth.User` instance.
'auth': str(request.auth), # None
}
return Response(content)
Or, if you're using the `@api_view` decorator with function based views.
@api_view(['GET'])
@authentication_classes([SessionAuthentication, BasicAuthentication])
@permission_classes([IsAuthenticated])
def example_view(request, format=None):
content = {
'user': str(request.user), # `django.contrib.auth.User` instance.
'auth': str(request.auth), # None
}
return Response(content)
## Unauthorized and Forbidden responses
When an unauthenticated request is denied permission there are two different error codes that may be appropriate.
* [HTTP 401 Unauthorized][http401]
* [HTTP 403 Permission Denied][http403]
HTTP 401 responses must always include a `WWW-Authenticate` header, that instructs the client how to authenticate. HTTP 403 responses do not include the `WWW-Authenticate` header.
The kind of response that will be used depends on the authentication scheme. Although multiple authentication schemes may be in use, only one scheme may be used to determine the type of response. **The first authentication class set on the view is used when determining the type of response**.
Note that when a request may successfully authenticate, but still be denied permission to perform the request, in which case a `403 Permission Denied` response will always be used, regardless of the authentication scheme.
## Django 5.1+ `LoginRequiredMiddleware`
If you're running Django 5.1+ and use the [`LoginRequiredMiddleware`][login-required-middleware], please note that all views from DRF are opted-out of this middleware. This is because the authentication in DRF is based authentication and permissions classes, which may be determined after the middleware has been applied. Additionally, when the request is not authenticated, the middleware redirects the user to the login page, which is not suitable for API requests, where it's preferable to return a 401 status code.
REST framework offers an equivalent mechanism for DRF views via the global settings, `DEFAULT_AUTHENTICATION_CLASSES` and `DEFAULT_PERMISSION_CLASSES`. They should be changed accordingly if you need to enforce that API requests are logged in.
## Apache mod_wsgi specific configuration
Note that if deploying to [Apache using mod_wsgi][mod_wsgi_official], the authorization header is not passed through to a WSGI application by default, as it is assumed that authentication will be handled by Apache, rather than at an application level.
If you are deploying to Apache, and using any non-session based authentication, you will need to explicitly configure mod_wsgi to pass the required headers through to the application. This can be done by specifying the `WSGIPassAuthorization` directive in the appropriate context and setting it to `'On'`.
# this can go in either server config, virtual host, directory or .htaccess
WSGIPassAuthorization On
---
# API Reference
## BasicAuthentication
This authentication scheme uses [HTTP Basic Authentication][basicauth], signed against a user's username and password. Basic authentication is generally only appropriate for testing.
If successfully authenticated, `BasicAuthentication` provides the following credentials.
* `request.user` will be a Django `User` instance.
* `request.auth` will be `None`.
Unauthenticated responses that are denied permission will result in an `HTTP 401 Unauthorized` response with an appropriate WWW-Authenticate header. For example:
WWW-Authenticate: Basic realm="api"
!!! note
If you use `BasicAuthentication` in production you must ensure that your API is only available over `https`. You should also ensure that your API clients will always re-request the username and password at login, and will never store those details to persistent storage.
## TokenAuthentication
!!! note
The token authentication provided by Django REST framework is a fairly simple implementation.
For an implementation which allows more than one token per user, has some tighter security implementation details, and supports token expiry, please see the [Django REST Knox][django-rest-knox] third party package.
This authentication scheme uses a simple token-based HTTP Authentication scheme. Token authentication is appropriate for client-server setups, such as native desktop and mobile clients.
To use the `TokenAuthentication` scheme you'll need to [configure the authentication classes](#setting-the-authentication-scheme) to include `TokenAuthentication`, and additionally include `rest_framework.authtoken` in your `INSTALLED_APPS` setting:
INSTALLED_APPS = [
...
'rest_framework.authtoken'
]
Make sure to run `manage.py migrate` after changing your settings.
The `rest_framework.authtoken` app provides Django database migrations.
You'll also need to create tokens for your users.
from rest_framework.authtoken.models import Token
token = Token.objects.create(user=...)
print(token.key)
For clients to authenticate, the token key should be included in the `Authorization` HTTP header. The key should be prefixed by the string literal "Token", with whitespace separating the two strings. For example:
Authorization: Token 9944b09199c62bcf9418ad846dd0e4bbdfc6ee4b
*If you want to use a different keyword in the header, such as `Bearer`, simply subclass `TokenAuthentication` and set the `keyword` class variable.*
If successfully authenticated, `TokenAuthentication` provides the following credentials.
* `request.user` will be a Django `User` instance.
* `request.auth` will be a `rest_framework.authtoken.models.Token` instance.
Unauthenticated responses that are denied permission will result in an `HTTP 401 Unauthorized` response with an appropriate WWW-Authenticate header. For example:
WWW-Authenticate: Token
The `curl` command line tool may be useful for testing token authenticated APIs. For example:
curl -X GET http://127.0.0.1:8000/api/example/ -H 'Authorization: Token 9944b09199c62bcf9418ad846dd0e4bbdfc6ee4b'
!!! note
If you use `TokenAuthentication` in production you must ensure that your API is only available over `https`.
### Generating Tokens
#### By using signals
If you want every user to have an automatically generated Token, you can simply catch the User's `post_save` signal.
from django.conf import settings
from django.db.models.signals import post_save
from django.dispatch import receiver
from rest_framework.authtoken.models import Token
@receiver(post_save, sender=settings.AUTH_USER_MODEL)
def create_auth_token(sender, instance=None, created=False, **kwargs):
if created:
Token.objects.create(user=instance)
Note that you'll want to ensure you place this code snippet in an installed `models.py` module, or some other location that will be imported by Django on startup.
If you've already created some users, you can generate tokens for all existing users like this:
from django.contrib.auth.models import User
from rest_framework.authtoken.models import Token
for user in User.objects.all():
Token.objects.get_or_create(user=user)
#### By exposing an api endpoint
When using `TokenAuthentication`, you may want to provide a mechanism for clients to obtain a token given the username and password. REST framework provides a built-in view to provide this behavior. To use it, add the `obtain_auth_token` view to your URLconf:
from rest_framework.authtoken import views
urlpatterns += [
path('api-token-auth/', views.obtain_auth_token)
]
Note that the URL part of the pattern can be whatever you want to use.
The `obtain_auth_token` view will return a JSON response when valid `username` and `password` fields are POSTed to the view using form data or JSON:
{ 'token' : '9944b09199c62bcf9418ad846dd0e4bbdfc6ee4b' }
Note that the default `obtain_auth_token` view explicitly uses JSON requests and responses, rather than using default renderer and parser classes in your settings.
By default, there are no permissions or throttling applied to the `obtain_auth_token` view. If you do wish to apply throttling you'll need to override the view class,
and include them using the `throttle_classes` attribute.
If you need a customized version of the `obtain_auth_token` view, you can do so by subclassing the `ObtainAuthToken` view class, and using that in your url conf instead.
For example, you may return additional user information beyond the `token` value:
from rest_framework.authtoken.views import ObtainAuthToken
from rest_framework.authtoken.models import Token
from rest_framework.response import Response
class CustomAuthToken(ObtainAuthToken):
def post(self, request, *args, **kwargs):
serializer = self.serializer_class(data=request.data,
context={'request': request})
serializer.is_valid(raise_exception=True)
user = serializer.validated_data['user']
token, created = Token.objects.get_or_create(user=user)
return Response({
'token': token.key,
'user_id': user.pk,
'email': user.email
})
And in your `urls.py`:
urlpatterns += [
path('api-token-auth/', CustomAuthToken.as_view())
]
#### With Django admin
It is also possible to create Tokens manually through the admin interface. In case you are using a large user base, we recommend that you monkey patch the `TokenAdmin` class to customize it to your needs, more specifically by declaring the `user` field as `raw_field`.
`your_app/admin.py`:
from rest_framework.authtoken.admin import TokenAdmin
TokenAdmin.raw_id_fields = ['user']
#### Using Django manage.py command
Since version 3.6.4 it's possible to generate a user token using the following command:
./manage.py drf_create_token
this command will return the API token for the given user, creating it if it doesn't exist:
Generated token 9944b09199c62bcf9418ad846dd0e4bbdfc6ee4b for user user1
In case you want to regenerate the token (for example if it has been compromised or leaked) you can pass an additional parameter:
./manage.py drf_create_token -r
## SessionAuthentication
This authentication scheme uses Django's default session backend for authentication. Session authentication is appropriate for AJAX clients that are running in the same session context as your website.
If successfully authenticated, `SessionAuthentication` provides the following credentials.
* `request.user` will be a Django `User` instance.
* `request.auth` will be `None`.
Unauthenticated responses that are denied permission will result in an `HTTP 403 Forbidden` response.
If you're using an AJAX-style API with SessionAuthentication, you'll need to make sure you include a valid CSRF token for any "unsafe" HTTP method calls, such as `PUT`, `PATCH`, `POST` or `DELETE` requests. See the [Django CSRF documentation][csrf-ajax] for more details.
!!! warning
Always use Django's standard login view when creating login pages. This will ensure your login views are properly protected.
CSRF validation in REST framework works slightly differently from standard Django due to the need to support both session and non-session based authentication to the same views. This means that only authenticated requests require CSRF tokens, and anonymous requests may be sent without CSRF tokens. This behavior is not suitable for login views, which should always have CSRF validation applied.
## RemoteUserAuthentication
This authentication scheme allows you to delegate authentication to your web server, which sets the `REMOTE_USER`
environment variable.
To use it, you must have `django.contrib.auth.backends.RemoteUserBackend` (or a subclass) in your
`AUTHENTICATION_BACKENDS` setting. By default, `RemoteUserBackend` creates `User` objects for usernames that don't
already exist. To change this and other behavior, consult the
[Django documentation](https://docs.djangoproject.com/en/stable/howto/auth-remote-user/).
If successfully authenticated, `RemoteUserAuthentication` provides the following credentials:
* `request.user` will be a Django `User` instance.
* `request.auth` will be `None`.
Consult your web server's documentation for information about configuring an authentication method, for example:
* [Apache Authentication How-To](https://httpd.apache.org/docs/2.4/howto/auth.html)
* [NGINX (Restricting Access)](https://docs.nginx.com/nginx/admin-guide/security-controls/configuring-http-basic-authentication/)
# Custom authentication
To implement a custom authentication scheme, subclass `BaseAuthentication` and override the `.authenticate(self, request)` method. The method should return a two-tuple of `(user, auth)` if authentication succeeds, or `None` otherwise.
In some circumstances instead of returning `None`, you may want to raise an `AuthenticationFailed` exception from the `.authenticate()` method.
Typically the approach you should take is:
* If authentication is not attempted, return `None`. Any other authentication schemes also in use will still be checked.
* If authentication is attempted but fails, raise an `AuthenticationFailed` exception. An error response will be returned immediately, regardless of any permissions checks, and without checking any other authentication schemes.
You *may* also override the `.authenticate_header(self, request)` method. If implemented, it should return a string that will be used as the value of the `WWW-Authenticate` header in a `HTTP 401 Unauthorized` response.
If the `.authenticate_header()` method is not overridden, the authentication scheme will return `HTTP 403 Forbidden` responses when an unauthenticated request is denied access.
!!! note
When your custom authenticator is invoked by the request object's `.user` or `.auth` properties, you may see an `AttributeError` re-raised as a `WrappedAttributeError`. This is necessary to prevent the original exception from being suppressed by the outer property access. Python will not recognize that the `AttributeError` originates from your custom authenticator and will instead assume that the request object does not have a `.user` or `.auth` property. These errors should be fixed or otherwise handled by your authenticator.
## Example
The following example will authenticate any incoming request as the user given by the username in a custom request header named 'X-USERNAME'.
from django.contrib.auth.models import User
from rest_framework import authentication
from rest_framework import exceptions
class ExampleAuthentication(authentication.BaseAuthentication):
def authenticate(self, request):
username = request.META.get('HTTP_X_USERNAME')
if not username:
return None
try:
user = User.objects.get(username=username)
except User.DoesNotExist:
raise exceptions.AuthenticationFailed('No such user')
return (user, None)
---
# Third party packages
The following third-party packages are also available.
## django-rest-knox
[Django-rest-knox][django-rest-knox] library provides models and views to handle token-based authentication in a more secure and extensible way than the built-in TokenAuthentication scheme - with Single Page Applications and Mobile clients in mind. It provides per-client tokens, and views to generate them when provided some other authentication (usually basic authentication), to delete the token (providing a server enforced logout) and to delete all tokens (logs out all clients that a user is logged into).
## Django OAuth Toolkit
The [Django OAuth Toolkit][django-oauth-toolkit] package provides OAuth 2.0 support and works with Python 3.4+. The package is maintained by [jazzband][jazzband] and uses the excellent [OAuthLib][oauthlib]. The package is well documented, and well supported and is currently our **recommended package for OAuth 2.0 support**.
### Installation & configuration
Install using `pip`.
pip install django-oauth-toolkit
Add the package to your `INSTALLED_APPS` and modify your REST framework settings.
INSTALLED_APPS = [
...
'oauth2_provider',
]
REST_FRAMEWORK = {
'DEFAULT_AUTHENTICATION_CLASSES': [
'oauth2_provider.contrib.rest_framework.OAuth2Authentication',
]
}
For more details see the [Django REST framework - Getting started][django-oauth-toolkit-getting-started] documentation.
## Django REST framework OAuth
The [Django REST framework OAuth][django-rest-framework-oauth] package provides both OAuth1 and OAuth2 support for REST framework.
This package was previously included directly in the REST framework but is now supported and maintained as a third-party package.
### Installation & configuration
Install the package using `pip`.
pip install djangorestframework-oauth
For details on configuration and usage see the Django REST framework OAuth documentation for [authentication][django-rest-framework-oauth-authentication] and [permissions][django-rest-framework-oauth-permissions].
## JSON Web Token Authentication
JSON Web Token is a fairly new standard which can be used for token-based authentication. Unlike the built-in TokenAuthentication scheme, JWT Authentication doesn't need to use a database to validate a token. A package for JWT authentication is [djangorestframework-simplejwt][djangorestframework-simplejwt] which provides some features as well as a pluggable token blacklist app.
## Hawk HTTP Authentication
The [HawkREST][hawkrest] library builds on the [Mohawk][mohawk] library to let you work with [Hawk][hawk] signed requests and responses in your API. [Hawk][hawk] lets two parties securely communicate with each other using messages signed by a shared key. It is based on [HTTP MAC access authentication][mac] (which was based on parts of [OAuth 1.0][oauth-1.0a]).
## HTTP Signature Authentication
HTTP Signature (currently a [IETF draft][http-signature-ietf-draft]) provides a way to achieve origin authentication and message integrity for HTTP messages. Similar to [Amazon's HTTP Signature scheme][amazon-http-signature], used by many of its services, it permits stateless, per-request authentication. [Elvio Toccalino][etoccalino] maintains the [djangorestframework-httpsignature][djangorestframework-httpsignature] (outdated) package which provides an easy-to-use HTTP Signature Authentication mechanism. You can use the updated fork version of [djangorestframework-httpsignature][djangorestframework-httpsignature], which is [drf-httpsig][drf-httpsig].
## Djoser
[Djoser][djoser] library provides a set of views to handle basic actions such as registration, login, logout, password reset and account activation. The package works with a custom user model and uses token-based authentication. This is a ready to use REST implementation of the Django authentication system.
## DRF Auth Kit
[DRF Auth Kit][drf-auth-kit] library provides a modern REST authentication solution with JWT cookies, social login, multi-factor authentication, and comprehensive user management. The package offers full type safety, automatic OpenAPI schema generation with DRF Spectacular. It supports multiple authentication types (JWT, DRF Token, or Custom) and includes built-in internationalization for 50+ languages.
## django-rest-auth / dj-rest-auth
This library provides a set of REST API endpoints for registration, authentication (including social media authentication), password reset, retrieve and update user details, etc. By having these API endpoints, your client apps such as AngularJS, iOS, Android, and others can communicate to your Django backend site independently via REST APIs for user management.
There are currently two forks of this project.
* [Django-rest-auth][django-rest-auth] is the original project, [but is not currently receiving updates](https://github.com/Tivix/django-rest-auth/issues/568).
* [Dj-rest-auth][dj-rest-auth] is a newer fork of the project.
## drf-social-oauth2
[Drf-social-oauth2][drf-social-oauth2] is a framework that helps you authenticate with major social oauth2 vendors, such as Facebook, Google, Twitter, Orcid, etc. It generates tokens in a JWTed way with an easy setup.
## drfpasswordless
[drfpasswordless][drfpasswordless] adds (Medium, Square Cash inspired) passwordless support to Django REST Framework's TokenAuthentication scheme. Users log in and sign up with a token sent to a contact point like an email address or a mobile number.
## django-rest-authemail
[django-rest-authemail][django-rest-authemail] provides a RESTful API interface for user signup and authentication. Email addresses are used for authentication, rather than usernames. API endpoints are available for signup, signup email verification, login, logout, password reset, password reset verification, email change, email change verification, password change, and user detail. A fully functional example project and detailed instructions are included.
## Django-Rest-Durin
[Django-Rest-Durin][django-rest-durin] is built with the idea to have one library that does token auth for multiple Web/CLI/Mobile API clients via one interface but allows different token configuration for each API Client that consumes the API. It provides support for multiple tokens per user via custom models, views, permissions that work with Django-Rest-Framework. The token expiration time can be different per API client and is customizable via the Django Admin Interface.
More information can be found in the [Documentation](https://django-rest-durin.readthedocs.io/en/latest/index.html).
## django-pyoidc
[django_pyoidc][django-pyoidc] adds support for OpenID Connect (OIDC) authentication. This allows you to delegate user management to an Identity Provider, which can be used to implement Single-Sign-On (SSO). It provides support for most uses-cases, such as customizing how token info are mapped to user models, using OIDC audiences for access control, etc.
More information can be found in the [Documentation](https://django-pyoidc.readthedocs.io/latest/index.html).
[cite]: https://jacobian.org/writing/rest-worst-practices/
[http401]: https://www.w3.org/Protocols/rfc2616/rfc2616-sec10.html#sec10.4.2
[http403]: https://www.w3.org/Protocols/rfc2616/rfc2616-sec10.html#sec10.4.4
[basicauth]: https://tools.ietf.org/html/rfc2617
[permission]: permissions.md
[throttling]: throttling.md
[csrf-ajax]: https://docs.djangoproject.com/en/stable/howto/csrf/#using-csrf-protection-with-ajax
[mod_wsgi_official]: https://modwsgi.readthedocs.io/en/develop/configuration-directives/WSGIPassAuthorization.html
[django-oauth-toolkit-getting-started]: https://django-oauth-toolkit.readthedocs.io/en/latest/rest-framework/getting_started.html
[django-rest-framework-oauth]: https://jpadilla.github.io/django-rest-framework-oauth/
[django-rest-framework-oauth-authentication]: https://jpadilla.github.io/django-rest-framework-oauth/authentication/
[django-rest-framework-oauth-permissions]: https://jpadilla.github.io/django-rest-framework-oauth/permissions/
[juanriaza]: https://github.com/juanriaza
[djangorestframework-digestauth]: https://github.com/juanriaza/django-rest-framework-digestauth
[oauth-1.0a]: https://oauth.net/core/1.0a/
[django-oauth-toolkit]: https://github.com/evonove/django-oauth-toolkit
[jazzband]: https://github.com/jazzband/
[oauthlib]: https://github.com/idan/oauthlib
[djangorestframework-simplejwt]: https://github.com/davesque/django-rest-framework-simplejwt
[etoccalino]: https://github.com/etoccalino/
[djangorestframework-httpsignature]: https://github.com/etoccalino/django-rest-framework-httpsignature
[drf-httpsig]: https://github.com/ahknight/drf-httpsig
[amazon-http-signature]: https://docs.aws.amazon.com/general/latest/gr/signature-version-4.html
[http-signature-ietf-draft]: https://datatracker.ietf.org/doc/draft-cavage-http-signatures/
[hawkrest]: https://hawkrest.readthedocs.io/en/latest/
[hawk]: https://github.com/hueniverse/hawk
[mohawk]: https://mohawk.readthedocs.io/en/latest/
[mac]: https://tools.ietf.org/html/draft-hammer-oauth-v2-mac-token-05
[djoser]: https://github.com/sunscrapers/djoser
[django-rest-auth]: https://github.com/Tivix/django-rest-auth
[dj-rest-auth]: https://github.com/jazzband/dj-rest-auth
[drf-social-oauth2]: https://github.com/wagnerdelima/drf-social-oauth2
[django-rest-knox]: https://github.com/James1345/django-rest-knox
[drfpasswordless]: https://github.com/aaronn/django-rest-framework-passwordless
[django-rest-authemail]: https://github.com/celiao/django-rest-authemail
[django-rest-durin]: https://github.com/eshaan7/django-rest-durin
[login-required-middleware]: https://docs.djangoproject.com/en/stable/ref/middleware/#django.contrib.auth.middleware.LoginRequiredMiddleware
[django-pyoidc]: https://github.com/makinacorpus/django_pyoidc
[drf-auth-kit]: https://github.com/huynguyengl99/drf-auth-kit
---
# Caching
> A certain woman had a very sharp consciousness but almost no
> memory ... She remembered enough to work, and she worked hard.
> - Lydia Davis
Caching in REST Framework works well with the cache utilities
provided in Django.
---
## Using cache with apiview and viewsets
Django provides a [`method_decorator`][decorator] to use
decorators with class based views. This can be used with
other cache decorators such as [`cache_page`][page],
[`vary_on_cookie`][cookie] and [`vary_on_headers`][headers].
```python
from django.utils.decorators import method_decorator
from django.views.decorators.cache import cache_page
from django.views.decorators.vary import vary_on_cookie, vary_on_headers
from rest_framework.response import Response
from rest_framework.views import APIView
from rest_framework import viewsets
class UserViewSet(viewsets.ViewSet):
# With cookie: cache requested url for each user for 2 hours
@method_decorator(cache_page(60 * 60 * 2))
@method_decorator(vary_on_cookie)
def list(self, request, format=None):
content = {
"user_feed": request.user.get_user_feed(),
}
return Response(content)
class ProfileView(APIView):
# With auth: cache requested url for each user for 2 hours
@method_decorator(cache_page(60 * 60 * 2))
@method_decorator(vary_on_headers("Authorization"))
def get(self, request, format=None):
content = {
"user_feed": request.user.get_user_feed(),
}
return Response(content)
class PostView(APIView):
# Cache page for the requested url
@method_decorator(cache_page(60 * 60 * 2))
def get(self, request, format=None):
content = {
"title": "Post title",
"body": "Post content",
}
return Response(content)
```
## Using cache with @api_view decorator
When using @api_view decorator, the Django-provided method-based cache decorators such as [`cache_page`][page],
[`vary_on_cookie`][cookie] and [`vary_on_headers`][headers] can be called directly.
```python
from django.views.decorators.cache import cache_page
from django.views.decorators.vary import vary_on_cookie
from rest_framework.decorators import api_view
from rest_framework.response import Response
@cache_page(60 * 15)
@vary_on_cookie
@api_view(["GET"])
def get_user_list(request):
content = {"user_feed": request.user.get_user_feed()}
return Response(content)
```
!!! note
The [`cache_page`][page] decorator only caches the `GET` and `HEAD` responses with status 200.
[page]: https://docs.djangoproject.com/en/stable/topics/cache/#the-per-view-cache
[cookie]: https://docs.djangoproject.com/en/stable/topics/http/decorators/#django.views.decorators.vary.vary_on_cookie
[headers]: https://docs.djangoproject.com/en/stable/topics/http/decorators/#django.views.decorators.vary.vary_on_headers
[decorator]: https://docs.djangoproject.com/en/stable/topics/class-based-views/intro/#decorating-the-class
---
---
source:
- negotiation.py
---
# Content negotiation
> HTTP has provisions for several mechanisms for "content negotiation" - the process of selecting the best representation for a given response when there are multiple representations available.
>
> — [RFC 2616][cite], Fielding et al.
[cite]: https://www.w3.org/Protocols/rfc2616/rfc2616-sec12.html
Content negotiation is the process of selecting one of multiple possible representations to return to a client, based on client or server preferences.
## Determining the accepted renderer
REST framework uses a simple style of content negotiation to determine which media type should be returned to a client, based on the available renderers, the priorities of each of those renderers, and the client's `Accept:` header. The style used is partly client-driven, and partly server-driven.
1. More specific media types are given preference to less specific media types.
2. If multiple media types have the same specificity, then preference is given to based on the ordering of the renderers configured for the given view.
For example, given the following `Accept` header:
application/json; indent=4, application/json, application/yaml, text/html, */*
The priorities for each of the given media types would be:
* `application/json; indent=4`
* `application/json`, `application/yaml` and `text/html`
* `*/*`
If the requested view was only configured with renderers for `YAML` and `HTML`, then REST framework would select whichever renderer was listed first in the `renderer_classes` list or `DEFAULT_RENDERER_CLASSES` setting.
For more information on the `HTTP Accept` header, see [RFC 2616][accept-header]
!!! note
"q" values are not taken into account by REST framework when determining preference. The use of "q" values negatively impacts caching, and in the author's opinion they are an unnecessary and overcomplicated approach to content negotiation.
This is a valid approach as the HTTP spec deliberately underspecifies how a server should weight server-based preferences against client-based preferences.
# Custom content negotiation
It's unlikely that you'll want to provide a custom content negotiation scheme for REST framework, but you can do so if needed. To implement a custom content negotiation scheme override `BaseContentNegotiation`.
REST framework's content negotiation classes handle selection of both the appropriate parser for the request, and the appropriate renderer for the response, so you should implement both the `.select_parser(request, parsers)` and `.select_renderer(request, renderers, format_suffix)` methods.
The `select_parser()` method should return one of the parser instances from the list of available parsers, or `None` if none of the parsers can handle the incoming request.
The `select_renderer()` method should return a two-tuple of (renderer instance, media type), or raise a `NotAcceptable` exception.
## Example
The following is a custom content negotiation class which ignores the client
request when selecting the appropriate parser or renderer.
from rest_framework.negotiation import BaseContentNegotiation
class IgnoreClientContentNegotiation(BaseContentNegotiation):
def select_parser(self, request, parsers):
"""
Select the first parser in the `.parser_classes` list.
"""
return parsers[0]
def select_renderer(self, request, renderers, format_suffix):
"""
Select the first renderer in the `.renderer_classes` list.
"""
return (renderers[0], renderers[0].media_type)
## Setting the content negotiation
The default content negotiation class may be set globally, using the `DEFAULT_CONTENT_NEGOTIATION_CLASS` setting. For example, the following settings would use our example `IgnoreClientContentNegotiation` class.
REST_FRAMEWORK = {
'DEFAULT_CONTENT_NEGOTIATION_CLASS': 'myapp.negotiation.IgnoreClientContentNegotiation',
}
You can also set the content negotiation used for an individual view, or viewset, using the `APIView` class-based views.
from myapp.negotiation import IgnoreClientContentNegotiation
from rest_framework.response import Response
from rest_framework.views import APIView
class NoNegotiationView(APIView):
"""
An example view that does not perform content negotiation.
"""
content_negotiation_class = IgnoreClientContentNegotiation
def get(self, request, format=None):
return Response({
'accepted media type': request.accepted_renderer.media_type
})
[accept-header]: https://www.w3.org/Protocols/rfc2616/rfc2616-sec14.html
---
---
source:
- exceptions.py
---
# Exceptions
> Exceptions… allow error handling to be organized cleanly in a central or high-level place within the program structure.
>
> — Doug Hellmann, [Python Exception Handling Techniques][cite]
## Exception handling in REST framework views
REST framework's views handle various exceptions, and deal with returning appropriate error responses.
The handled exceptions are:
* Subclasses of `APIException` raised inside REST framework.
* Django's `Http404` exception.
* Django's `PermissionDenied` exception.
In each case, REST framework will return a response with an appropriate status code and content-type. The body of the response will include any additional details regarding the nature of the error.
Most error responses will include a key `detail` in the body of the response.
For example, the following request:
DELETE http://api.example.com/foo/bar HTTP/1.1
Accept: application/json
Might receive an error response indicating that the `DELETE` method is not allowed on that resource:
HTTP/1.1 405 Method Not Allowed
Content-Type: application/json
Content-Length: 42
{"detail": "Method 'DELETE' not allowed."}
Validation errors are handled slightly differently, and will include the field names as the keys in the response. If the validation error was not specific to a particular field then it will use the "non_field_errors" key, or whatever string value has been set for the `NON_FIELD_ERRORS_KEY` setting.
An example validation error might look like this:
HTTP/1.1 400 Bad Request
Content-Type: application/json
Content-Length: 94
{"amount": ["A valid integer is required."], "description": ["This field may not be blank."]}
## Custom exception handling
You can implement custom exception handling by creating a handler function that converts exceptions raised in your API views into response objects. This allows you to control the style of error responses used by your API.
The function must take a pair of arguments, the first is the exception to be handled, and the second is a dictionary containing any extra context such as the view currently being handled. The exception handler function should either return a `Response` object, or return `None` if the exception cannot be handled. If the handler returns `None` then the exception will be re-raised and Django will return a standard HTTP 500 'server error' response.
For example, you might want to ensure that all error responses include the HTTP status code in the body of the response, like so:
HTTP/1.1 405 Method Not Allowed
Content-Type: application/json
Content-Length: 62
{"status_code": 405, "detail": "Method 'DELETE' not allowed."}
In order to alter the style of the response, you could write the following custom exception handler:
from rest_framework.views import exception_handler
def custom_exception_handler(exc, context):
# Call REST framework's default exception handler first,
# to get the standard error response.
response = exception_handler(exc, context)
# Now add the HTTP status code to the response.
if response is not None:
response.data['status_code'] = response.status_code
return response
The context argument is not used by the default handler, but can be useful if the exception handler needs further information such as the view currently being handled, which can be accessed as `context['view']`.
The exception handler must also be configured in your settings, using the `EXCEPTION_HANDLER` setting key. For example:
REST_FRAMEWORK = {
'EXCEPTION_HANDLER': 'my_project.my_app.utils.custom_exception_handler'
}
If not specified, the `'EXCEPTION_HANDLER'` setting defaults to the standard exception handler provided by REST framework:
REST_FRAMEWORK = {
'EXCEPTION_HANDLER': 'rest_framework.views.exception_handler'
}
Note that the exception handler will only be called for responses generated by raised exceptions. It will not be used for any responses returned directly by the view, such as the `HTTP_400_BAD_REQUEST` responses that are returned by the generic views when serializer validation fails.
---
# API Reference
## APIException
**Signature:** `APIException()`
The **base class** for all exceptions raised inside an `APIView` class or `@api_view`.
To provide a custom exception, subclass `APIException` and set the `.status_code`, `.default_detail`, and `.default_code` attributes on the class.
For example, if your API relies on a third party service that may sometimes be unreachable, you might want to implement an exception for the "503 Service Unavailable" HTTP response code. You could do this like so:
from rest_framework.exceptions import APIException
class ServiceUnavailable(APIException):
status_code = 503
default_detail = 'Service temporarily unavailable, try again later.'
default_code = 'service_unavailable'
#### Inspecting API exceptions
There are a number of different properties available for inspecting the status
of an API exception. You can use these to build custom exception handling
for your project.
The available attributes and methods are:
* `.detail` - Return the textual description of the error.
* `.get_codes()` - Return the code identifier of the error.
* `.get_full_details()` - Return both the textual description and the code identifier.
In most cases the error detail will be a simple item:
>>> print(exc.detail)
You do not have permission to perform this action.
>>> print(exc.get_codes())
permission_denied
>>> print(exc.get_full_details())
{'message':'You do not have permission to perform this action.','code':'permission_denied'}
In the case of validation errors the error detail will be either a list or
dictionary of items:
>>> print(exc.detail)
{"name":"This field is required.","age":"A valid integer is required."}
>>> print(exc.get_codes())
{"name":"required","age":"invalid"}
>>> print(exc.get_full_details())
{"name":{"message":"This field is required.","code":"required"},"age":{"message":"A valid integer is required.","code":"invalid"}}
## ParseError
**Signature:** `ParseError(detail=None, code=None)`
Raised if the request contains malformed data when accessing `request.data`.
By default this exception results in a response with the HTTP status code "400 Bad Request".
## AuthenticationFailed
**Signature:** `AuthenticationFailed(detail=None, code=None)`
Raised when an incoming request includes incorrect authentication.
By default this exception results in a response with the HTTP status code "401 Unauthenticated", but it may also result in a "403 Forbidden" response, depending on the authentication scheme in use. See the [authentication documentation][authentication] for more details.
## NotAuthenticated
**Signature:** `NotAuthenticated(detail=None, code=None)`
Raised when an unauthenticated request fails the permission checks.
By default this exception results in a response with the HTTP status code "401 Unauthenticated", but it may also result in a "403 Forbidden" response, depending on the authentication scheme in use. See the [authentication documentation][authentication] for more details.
## PermissionDenied
**Signature:** `PermissionDenied(detail=None, code=None)`
Raised when an authenticated request fails the permission checks.
By default this exception results in a response with the HTTP status code "403 Forbidden".
## NotFound
**Signature:** `NotFound(detail=None, code=None)`
Raised when a resource does not exist at the given URL. This exception is equivalent to the standard `Http404` Django exception.
By default this exception results in a response with the HTTP status code "404 Not Found".
## MethodNotAllowed
**Signature:** `MethodNotAllowed(method, detail=None, code=None)`
Raised when an incoming request occurs that does not map to a handler method on the view.
By default this exception results in a response with the HTTP status code "405 Method Not Allowed".
## NotAcceptable
**Signature:** `NotAcceptable(detail=None, code=None)`
Raised when an incoming request occurs with an `Accept` header that cannot be satisfied by any of the available renderers.
By default this exception results in a response with the HTTP status code "406 Not Acceptable".
## UnsupportedMediaType
**Signature:** `UnsupportedMediaType(media_type, detail=None, code=None)`
Raised if there are no parsers that can handle the content type of the request data when accessing `request.data`.
By default this exception results in a response with the HTTP status code "415 Unsupported Media Type".
## Throttled
**Signature:** `Throttled(wait=None, detail=None, code=None)`
Raised when an incoming request fails the throttling checks.
By default this exception results in a response with the HTTP status code "429 Too Many Requests".
## ValidationError
**Signature:** `ValidationError(detail=None, code=None)`
The `ValidationError` exception is slightly different from the other `APIException` classes:
* The `detail` argument may be a list or dictionary of error details, and may also be a nested data structure. By using a dictionary, you can specify field-level errors while performing object-level validation in the `validate()` method of a serializer. For example. `raise serializers.ValidationError({'name': 'Please enter a valid name.'})`
* By convention you should import the serializers module and use a fully qualified `ValidationError` style, in order to differentiate it from Django's built-in validation error. For example. `raise serializers.ValidationError('This field must be an integer value.')`
The `ValidationError` class should be used for serializer and field validation, and by validator classes. It is also raised when calling `serializer.is_valid` with the `raise_exception` keyword argument:
serializer.is_valid(raise_exception=True)
The generic views use the `raise_exception=True` flag, which means that you can override the style of validation error responses globally in your API. To do so, use a custom exception handler, as described above.
By default this exception results in a response with the HTTP status code "400 Bad Request".
---
# Generic Error Views
Django REST Framework provides two error views suitable for providing generic JSON `500` Server Error and
`400` Bad Request responses. (Django's default error views provide HTML responses, which may not be appropriate for an
API-only application.)
Use these as per [Django's Customizing error views documentation][django-custom-error-views].
## `rest_framework.exceptions.server_error`
Returns a response with status code `500` and `application/json` content type.
Set as `handler500`:
handler500 = 'rest_framework.exceptions.server_error'
## `rest_framework.exceptions.bad_request`
Returns a response with status code `400` and `application/json` content type.
Set as `handler400`:
handler400 = 'rest_framework.exceptions.bad_request'
# Third party packages
The following third-party packages are also available.
## DRF Standardized Errors
The [drf-standardized-errors][drf-standardized-errors] package provides an exception handler that generates the same format for all 4xx and 5xx responses. It is a drop-in replacement for the default exception handler and allows customizing the error response format without rewriting the whole exception handler. The standardized error response format is easier to document and easier to handle by API consumers.
[cite]: https://doughellmann.com/blog/2009/06/19/python-exception-handling-techniques/
[authentication]: authentication.md
[django-custom-error-views]: https://docs.djangoproject.com/en/stable/topics/http/views/#customizing-error-views
[drf-standardized-errors]: https://github.com/ghazi-git/drf-standardized-errors
---
---
source:
- fields.py
---
# Serializer fields
> Each field in a Form class is responsible not only for validating data, but also for "cleaning" it — normalizing it to a consistent format.
>
> — [Django documentation][cite]
Serializer fields handle converting between primitive values and internal datatypes. They also deal with validating input values, as well as retrieving and setting the values from their parent objects.
!!! note
The serializer fields are declared in `fields.py`, but by convention you should import them using `from rest_framework import serializers` and refer to fields as `serializers.`.
## Core arguments
Each serializer field class constructor takes at least these arguments. Some Field classes take additional, field-specific arguments, but the following should always be accepted:
### `read_only`
Read-only fields are included in the API output, but should not be included in the input during create or update operations. Any 'read_only' fields that are incorrectly included in the serializer input will be ignored.
Set this to `True` to ensure that the field is used when serializing a representation, but is not used when creating or updating an instance during deserialization.
Defaults to `False`
### `write_only`
Set this to `True` to ensure that the field may be used when updating or creating an instance, but is not included when serializing the representation.
Defaults to `False`
### `required`
Normally an error will be raised if a field is not supplied during deserialization.
Set to false if this field is not required to be present during deserialization.
Setting this to `False` also allows the object attribute or dictionary key to be omitted from output when serializing the instance. If the key is not present it will simply not be included in the output representation.
Defaults to `True`. If you're using [Model Serializer](https://www.django-rest-framework.org/api-guide/serializers/#modelserializer), the default value will be `False` when you have specified a `default`, or when the corresponding `Model` field has `blank=True` or `null=True` and is not part of a unique constraint at the same time. (Note that without a `default` value, [unique constraints will cause the field to be required](https://www.django-rest-framework.org/api-guide/validators/#optional-fields).)
### `default`
If set, this gives the default value that will be used for the field if no input value is supplied. If not set the default behavior is to not populate the attribute at all.
The `default` is not applied during partial update operations. In the partial update case only fields that are provided in the incoming data will have a validated value returned.
May be set to a function or other callable, in which case the value will be evaluated each time it is used. When called, it will receive no arguments. If the callable has a `requires_context = True` attribute, then the serializer field will be passed as an argument.
For example:
class CurrentUserDefault:
"""
May be applied as a `default=...` value on a serializer field.
Returns the current user.
"""
requires_context = True
def __call__(self, serializer_field):
return serializer_field.context['request'].user
When serializing the instance, default will be used if the object attribute or dictionary key is not present in the instance.
Note that setting a `default` value implies that the field is not required. Including both the `default` and `required` keyword arguments is invalid and will raise an error.
### `allow_null`
Normally an error will be raised if `None` is passed to a serializer field. Set this keyword argument to `True` if `None` should be considered a valid value.
Note that, without an explicit `default`, setting this argument to `True` will imply a `default` value of `null` for serialization output, but does not imply a default for input deserialization.
Defaults to `False`
### `source`
The name of the attribute that will be used to populate the field. May be a method that only takes a `self` argument, such as `URLField(source='get_absolute_url')`, or may use dotted notation to traverse attributes, such as `EmailField(source='user.email')`.
When serializing fields with dotted notation, it may be necessary to provide a `default` value if any object is not present or is empty during attribute traversal. Beware of possible n+1 problems when using source attribute if you are accessing a relational orm model. For example:
class CommentSerializer(serializers.Serializer):
email = serializers.EmailField(source="user.email")
This case would require user object to be fetched from database when it is not prefetched. If that is not wanted, be sure to be using `prefetch_related` and `select_related` methods appropriately. For more information about the methods refer to [django documentation][django-docs-select-related].
The value `source='*'` has a special meaning, and is used to indicate that the entire object should be passed through to the field. This can be useful for creating nested representations, or for fields which require access to the complete object in order to determine the output representation.
Defaults to the name of the field.
### `validators`
A list of validator functions which should be applied to the incoming field input, and which either raise a validation error or simply return. Validator functions should typically raise `serializers.ValidationError`, but Django's built-in `ValidationError` is also supported for compatibility with validators defined in the Django codebase or third party Django packages.
### `error_messages`
A dictionary of error codes to error messages.
### `label`
A short text string that may be used as the name of the field in HTML form fields or other descriptive elements.
### `help_text`
A text string that may be used as a description of the field in HTML form fields or other descriptive elements.
### `initial`
A value that should be used for pre-populating the value of HTML form fields. You may pass a callable to it, just as
you may do with any regular Django `Field`:
import datetime
from rest_framework import serializers
class ExampleSerializer(serializers.Serializer):
day = serializers.DateField(initial=datetime.date.today)
### `style`
A dictionary of key-value pairs that can be used to control how renderers should render the field.
Two examples here are `'input_type'` and `'base_template'`:
# Use for the input.
password = serializers.CharField(
style={'input_type': 'password'}
)
# Use a radio input instead of a select input.
color_channel = serializers.ChoiceField(
choices=['red', 'green', 'blue'],
style={'base_template': 'radio.html'}
)
For more details see the [HTML & Forms][html-and-forms] documentation.
---
# Boolean fields
## BooleanField
A boolean representation.
When using HTML encoded form input be aware that omitting a value will always be treated as setting a field to `False`, even if it has a `default=True` option specified. This is because HTML checkbox inputs represent the unchecked state by omitting the value, so REST framework treats omission as if it is an empty checkbox input.
Note that Django 2.1 removed the `blank` kwarg from `models.BooleanField`.
Prior to Django 2.1 `models.BooleanField` fields were always `blank=True`. Thus
since Django 2.1 default `serializers.BooleanField` instances will be generated
without the `required` kwarg (i.e. equivalent to `required=True`) whereas with
previous versions of Django, default `BooleanField` instances will be generated
with a `required=False` option. If you want to control this behavior manually,
explicitly declare the `BooleanField` on the serializer class, or use the
`extra_kwargs` option to set the `required` flag.
Corresponds to `django.db.models.fields.BooleanField`.
**Signature:** `BooleanField()`
---
# String fields
## CharField
A text representation. Optionally validates the text to be shorter than `max_length` and longer than `min_length`.
Corresponds to `django.db.models.fields.CharField` or `django.db.models.fields.TextField`.
**Signature:** `CharField(max_length=None, min_length=None, allow_blank=False, trim_whitespace=True)`
* `max_length` - Validates that the input contains no more than this number of characters.
* `min_length` - Validates that the input contains no fewer than this number of characters.
* `allow_blank` - If set to `True` then the empty string should be considered a valid value. If set to `False` then the empty string is considered invalid and will raise a validation error. Defaults to `False`.
* `trim_whitespace` - If set to `True` then leading and trailing whitespace is trimmed. Defaults to `True`.
The `allow_null` option is also available for string fields, although its usage is discouraged in favor of `allow_blank`. It is valid to set both `allow_blank=True` and `allow_null=True`, but doing so means that there will be two differing types of empty value permissible for string representations, which can lead to data inconsistencies and subtle application bugs.
## EmailField
A text representation, validates the text to be a valid email address.
Corresponds to `django.db.models.fields.EmailField`
**Signature:** `EmailField(max_length=None, min_length=None, allow_blank=False)`
## RegexField
A text representation, that validates the given value matches against a certain regular expression.
Corresponds to `django.forms.fields.RegexField`.
**Signature:** `RegexField(regex, max_length=None, min_length=None, allow_blank=False)`
The mandatory `regex` argument may either be a string, or a compiled python regular expression object.
Uses Django's `django.core.validators.RegexValidator` for validation.
## SlugField
A `RegexField` that validates the input against the pattern `[a-zA-Z0-9_-]+`.
Corresponds to `django.db.models.fields.SlugField`.
**Signature:** `SlugField(max_length=50, min_length=None, allow_blank=False)`
## URLField
A `RegexField` that validates the input against a URL matching pattern. Expects fully qualified URLs of the form `http:///`.
Corresponds to `django.db.models.fields.URLField`. Uses Django's `django.core.validators.URLValidator` for validation.
**Signature:** `URLField(max_length=200, min_length=None, allow_blank=False)`
## UUIDField
A field that ensures the input is a valid UUID string. The `to_internal_value` method will return a `uuid.UUID` instance. On output the field will return a string in the canonical hyphenated format, for example:
"de305d54-75b4-431b-adb2-eb6b9e546013"
**Signature:** `UUIDField(format='hex_verbose')`
* `format`: Determines the representation format of the uuid value
* `'hex_verbose'` - The canonical hex representation, including hyphens: `"5ce0e9a5-5ffa-654b-cee0-1238041fb31a"`
* `'hex'` - The compact hex representation of the UUID, not including hyphens: `"5ce0e9a55ffa654bcee01238041fb31a"`
* `'int'` - A 128 bit integer representation of the UUID: `"123456789012312313134124512351145145114"`
* `'urn'` - RFC 4122 URN representation of the UUID: `"urn:uuid:5ce0e9a5-5ffa-654b-cee0-1238041fb31a"`
Changing the `format` parameters only affects representation values. All formats are accepted by `to_internal_value`
## FilePathField
A field whose choices are limited to the filenames in a certain directory on the filesystem
Corresponds to `django.forms.fields.FilePathField`.
**Signature:** `FilePathField(path, match=None, recursive=False, allow_files=True, allow_folders=False, required=None, **kwargs)`
* `path` - The absolute filesystem path to a directory from which this FilePathField should get its choice.
* `match` - A regular expression, as a string, that FilePathField will use to filter filenames.
* `recursive` - Specifies whether all subdirectories of path should be included. Default is `False`.
* `allow_files` - Specifies whether files in the specified location should be included. Default is `True`. Either this or `allow_folders` must be `True`.
* `allow_folders` - Specifies whether folders in the specified location should be included. Default is `False`. Either this or `allow_files` must be `True`.
## IPAddressField
A field that ensures the input is a valid IPv4 or IPv6 string.
Corresponds to `django.forms.fields.IPAddressField` and `django.forms.fields.GenericIPAddressField`.
**Signature**: `IPAddressField(protocol='both', unpack_ipv4=False, **options)`
* `protocol` Limits valid inputs to the specified protocol. Accepted values are 'both' (default), 'IPv4' or 'IPv6'. Matching is case-insensitive.
* `unpack_ipv4` Unpacks IPv4 mapped addresses like ::ffff:192.0.2.1. If this option is enabled that address would be unpacked to 192.0.2.1. Default is disabled. Can only be used when protocol is set to 'both'.
---
# Numeric fields
## IntegerField
An integer representation.
Corresponds to `django.db.models.fields.IntegerField`, `django.db.models.fields.SmallIntegerField`, `django.db.models.fields.PositiveIntegerField` and `django.db.models.fields.PositiveSmallIntegerField`.
**Signature**: `IntegerField(max_value=None, min_value=None)`
* `max_value` Validate that the number provided is no greater than this value.
* `min_value` Validate that the number provided is no less than this value.
## BigIntegerField
A biginteger representation.
Corresponds to `django.db.models.fields.BigIntegerField`.
**Signature**: `BigIntegerField(max_value=None, min_value=None, coerce_to_string=None)`
* `max_value` Validate that the number provided is no greater than this value.
* `min_value` Validate that the number provided is no less than this value.
* `coerce_to_string` Set to `True` if string values should be returned for the representation, or `False` if `BigInteger` objects should be returned. Defaults to the same value as the `COERCE_BIGINT_TO_STRING` settings key, which will be `False` unless overridden. If `BigInteger` objects are returned by the serializer, then the final output format will be determined by the renderer.
## FloatField
A floating point representation.
Corresponds to `django.db.models.fields.FloatField`.
**Signature**: `FloatField(max_value=None, min_value=None)`
* `max_value` Validate that the number provided is no greater than this value.
* `min_value` Validate that the number provided is no less than this value.
## DecimalField
A decimal representation, represented in Python by a `Decimal` instance.
Corresponds to `django.db.models.fields.DecimalField`.
**Signature**: `DecimalField(max_digits, decimal_places, coerce_to_string=None, max_value=None, min_value=None)`
* `max_digits` The maximum number of digits allowed in the number. It must be either `None` or an integer greater than or equal to `decimal_places`.
* `decimal_places` The number of decimal places to store with the number.
* `coerce_to_string` Set to `True` if string values should be returned for the representation, or `False` if `Decimal` objects should be returned. Defaults to the same value as the `COERCE_DECIMAL_TO_STRING` settings key, which will be `True` unless overridden. If `Decimal` objects are returned by the serializer, then the final output format will be determined by the renderer. Note that setting `localize` will force the value to `True`.
* `max_value` Validate that the number provided is no greater than this value. Should be an integer or `Decimal` object.
* `min_value` Validate that the number provided is no less than this value. Should be an integer or `Decimal` object.
* `localize` Set to `True` to enable localization of input and output based on the current locale. This will also force `coerce_to_string` to `True`. Defaults to `False`. Note that data formatting is enabled if you have set `USE_L10N=True` in your settings file.
* `rounding` Sets the rounding mode used when quantizing to the configured precision. Valid values are [`decimal` module rounding modes][python-decimal-rounding-modes]. Defaults to `None`.
* `normalize_output` Will normalize the decimal value when serialized. This will strip all trailing zeroes and change the value's precision to the minimum required precision to be able to represent the value without losing data. Defaults to `False`.
#### Example usage
To validate numbers up to 999 with a resolution of 2 decimal places, you would use:
serializers.DecimalField(max_digits=5, decimal_places=2)
And to validate numbers up to anything less than one billion with a resolution of 10 decimal places:
serializers.DecimalField(max_digits=19, decimal_places=10)
---
# Date and time fields
## DateTimeField
A date and time representation.
Corresponds to `django.db.models.fields.DateTimeField`.
**Signature:** `DateTimeField(format=api_settings.DATETIME_FORMAT, input_formats=None, default_timezone=None)`
* `format` - A string representing the output format. If not specified, this defaults to the same value as the `DATETIME_FORMAT` settings key, which will be `'iso-8601'` unless set. Setting to a format string indicates that `to_representation` return values should be coerced to string output. Format strings are described below. Setting this value to `None` indicates that Python `datetime` objects should be returned by `to_representation`. In this case the datetime encoding will be determined by the renderer.
* `input_formats` - A list of strings representing the input formats which may be used to parse the date. If not specified, the `DATETIME_INPUT_FORMATS` setting will be used, which defaults to `['iso-8601']`.
* `default_timezone` - A `tzinfo` subclass (`zoneinfo` or `pytz`) representing the timezone. If not specified and the `USE_TZ` setting is enabled, this defaults to the [current timezone][django-current-timezone]. If `USE_TZ` is disabled, then datetime objects will be naive.
#### `DateTimeField` format strings.
Format strings may either be [Python strftime formats][strftime] which explicitly specify the format, or the special string `'iso-8601'`, which indicates that [ISO 8601][iso8601] style datetimes should be used. (eg `'2013-01-29T12:34:56.000000Z'`)
When a value of `None` is used for the format `datetime` objects will be returned by `to_representation` and the final output representation will be determined by the renderer class.
#### `auto_now` and `auto_now_add` model fields.
When using `ModelSerializer` or `HyperlinkedModelSerializer`, note that any model fields with `auto_now=True` or `auto_now_add=True` will use serializer fields that are `read_only=True` by default.
If you want to override this behavior, you'll need to declare the `DateTimeField` explicitly on the serializer. For example:
class CommentSerializer(serializers.ModelSerializer):
created = serializers.DateTimeField()
class Meta:
model = Comment
## DateField
A date representation.
Corresponds to `django.db.models.fields.DateField`
**Signature:** `DateField(format=api_settings.DATE_FORMAT, input_formats=None)`
* `format` - A string representing the output format. If not specified, this defaults to the same value as the `DATE_FORMAT` settings key, which will be `'iso-8601'` unless set. Setting to a format string indicates that `to_representation` return values should be coerced to string output. Format strings are described below. Setting this value to `None` indicates that Python `date` objects should be returned by `to_representation`. In this case the date encoding will be determined by the renderer.
* `input_formats` - A list of strings representing the input formats which may be used to parse the date. If not specified, the `DATE_INPUT_FORMATS` setting will be used, which defaults to `['iso-8601']`.
#### `DateField` format strings
Format strings may either be [Python strftime formats][strftime] which explicitly specify the format, or the special string `'iso-8601'`, which indicates that [ISO 8601][iso8601] style dates should be used. (eg `'2013-01-29'`)
## TimeField
A time representation.
Corresponds to `django.db.models.fields.TimeField`
**Signature:** `TimeField(format=api_settings.TIME_FORMAT, input_formats=None)`
* `format` - A string representing the output format. If not specified, this defaults to the same value as the `TIME_FORMAT` settings key, which will be `'iso-8601'` unless set. Setting to a format string indicates that `to_representation` return values should be coerced to string output. Format strings are described below. Setting this value to `None` indicates that Python `time` objects should be returned by `to_representation`. In this case the time encoding will be determined by the renderer.
* `input_formats` - A list of strings representing the input formats which may be used to parse the date. If not specified, the `TIME_INPUT_FORMATS` setting will be used, which defaults to `['iso-8601']`.
#### `TimeField` format strings
Format strings may either be [Python strftime formats][strftime] which explicitly specify the format, or the special string `'iso-8601'`, which indicates that [ISO 8601][iso8601] style times should be used. (eg `'12:34:56.000000'`)
## DurationField
A Duration representation.
Corresponds to `django.db.models.fields.DurationField`
The `validated_data` for these fields will contain a `datetime.timedelta` instance.
**Signature:** `DurationField(format=api_settings.DURATION_FORMAT, max_value=None, min_value=None)`
* `format` - A string representing the output format. If not specified, this defaults to the same value as the `DURATION_FORMAT` settings key, which will be `'django'` unless set. Formats are described below. Setting this value to `None` indicates that Python `timedelta` objects should be returned by `to_representation`. In this case the date encoding will be determined by the renderer.
* `max_value` Validate that the duration provided is no greater than this value.
* `min_value` Validate that the duration provided is no less than this value.
#### `DurationField` formats
Format may either be the special string `'iso-8601'`, which indicates that [ISO 8601][iso8601] style intervals should be used (eg `'P4DT1H15M20S'`), or `'django'` which indicates that Django interval format `'[DD] [HH:[MM:]]ss[.uuuuuu]'` should be used (eg: `'4 1:15:20'`).
---
# Choice selection fields
## ChoiceField
A field that can accept a value out of a limited set of choices.
Used by `ModelSerializer` to automatically generate fields if the corresponding model field includes a `choices=…` argument.
**Signature:** `ChoiceField(choices)`
* `choices` - A list of valid values, or a list of `(key, display_name)` tuples.
* `allow_blank` - If set to `True` then the empty string should be considered a valid value. If set to `False` then the empty string is considered invalid and will raise a validation error. Defaults to `False`.
* `html_cutoff` - If set this will be the maximum number of choices that will be displayed by a HTML select drop down. Can be used to ensure that automatically generated ChoiceFields with very large possible selections do not prevent a template from rendering. Defaults to `None`.
* `html_cutoff_text` - If set this will display a textual indicator if the maximum number of items have been cutoff in an HTML select drop down. Defaults to `"More than {count} items…"`
Both the `allow_blank` and `allow_null` are valid options on `ChoiceField`, although it is highly recommended that you only use one and not both. `allow_blank` should be preferred for textual choices, and `allow_null` should be preferred for numeric or other non-textual choices.
## MultipleChoiceField
A field that can accept a set of zero, one or many values, chosen from a limited set of choices. Takes a single mandatory argument. `to_internal_value` returns a `set` containing the selected values.
**Signature:** `MultipleChoiceField(choices)`
* `choices` - A list of valid values, or a list of `(key, display_name)` tuples.
* `allow_blank` - If set to `True` then the empty string should be considered a valid value. If set to `False` then the empty string is considered invalid and will raise a validation error. Defaults to `False`.
* `html_cutoff` - If set this will be the maximum number of choices that will be displayed by a HTML select drop down. Can be used to ensure that automatically generated ChoiceFields with very large possible selections do not prevent a template from rendering. Defaults to `None`.
* `html_cutoff_text` - If set this will display a textual indicator if the maximum number of items have been cutoff in an HTML select drop down. Defaults to `"More than {count} items…"`
As with `ChoiceField`, both the `allow_blank` and `allow_null` options are valid, although it is highly recommended that you only use one and not both. `allow_blank` should be preferred for textual choices, and `allow_null` should be preferred for numeric or other non-textual choices.
---
# File upload fields
#### Parsers and file uploads.
The `FileField` and `ImageField` classes are only suitable for use with `MultiPartParser` or `FileUploadParser`. Most parsers, such as e.g. JSON don't support file uploads.
Django's regular [FILE_UPLOAD_HANDLERS] are used for handling uploaded files.
## FileField
A file representation. Performs Django's standard FileField validation.
Corresponds to `django.forms.fields.FileField`.
**Signature:** `FileField(max_length=None, allow_empty_file=False, use_url=UPLOADED_FILES_USE_URL)`
* `max_length` - Designates the maximum length for the file name.
* `allow_empty_file` - Designates if empty files are allowed.
* `use_url` - If set to `True` then URL string values will be used for the output representation. If set to `False` then filename string values will be used for the output representation. Defaults to the value of the `UPLOADED_FILES_USE_URL` settings key, which is `True` unless set otherwise.
## ImageField
An image representation. Validates the uploaded file content as matching a known image format.
Corresponds to `django.forms.fields.ImageField`.
**Signature:** `ImageField(max_length=None, allow_empty_file=False, use_url=UPLOADED_FILES_USE_URL)`
* `max_length` - Designates the maximum length for the file name.
* `allow_empty_file` - Designates if empty files are allowed.
* `use_url` - If set to `True` then URL string values will be used for the output representation. If set to `False` then filename string values will be used for the output representation. Defaults to the value of the `UPLOADED_FILES_USE_URL` settings key, which is `True` unless set otherwise.
Requires either the `Pillow` package or `PIL` package. The `Pillow` package is recommended, as `PIL` is no longer actively maintained.
---
# Composite fields
## ListField
A field class that validates a list of objects.
**Signature**: `ListField(child=, allow_empty=True, min_length=None, max_length=None)`
* `child` - A field instance that should be used for validating the objects in the list. If this argument is not provided then objects in the list will not be validated.
* `allow_empty` - Designates if empty lists are allowed.
* `min_length` - Validates that the list contains no fewer than this number of elements.
* `max_length` - Validates that the list contains no more than this number of elements.
For example, to validate a list of integers you might use something like the following:
scores = serializers.ListField(
child=serializers.IntegerField(min_value=0, max_value=100)
)
The `ListField` class also supports a declarative style that allows you to write reusable list field classes.
class StringListField(serializers.ListField):
child = serializers.CharField()
We can now reuse our custom `StringListField` class throughout our application, without having to provide a `child` argument to it.
## DictField
A field class that validates a dictionary of objects. The keys in `DictField` are always assumed to be string values.
**Signature**: `DictField(child=, allow_empty=True)`
* `child` - A field instance that should be used for validating the values in the dictionary. If this argument is not provided then values in the mapping will not be validated.
* `allow_empty` - Designates if empty dictionaries are allowed.
For example, to create a field that validates a mapping of strings to strings, you would write something like this:
document = DictField(child=CharField())
You can also use the declarative style, as with `ListField`. For example:
class DocumentField(DictField):
child = CharField()
## HStoreField
A preconfigured `DictField` that is compatible with Django's postgres `HStoreField`.
**Signature**: `HStoreField(child=, allow_empty=True)`
* `child` - A field instance that is used for validating the values in the dictionary. The default child field accepts both empty strings and null values.
* `allow_empty` - Designates if empty dictionaries are allowed.
Note that the child field **must** be an instance of `CharField`, as the hstore extension stores values as strings.
## JSONField
A field class that validates that the incoming data structure consists of valid JSON primitives. In its alternate binary mode, it will represent and validate JSON-encoded binary strings.
**Signature**: `JSONField(binary, encoder)`
* `binary` - If set to `True` then the field will output and validate a JSON encoded string, rather than a primitive data structure. Defaults to `False`.
* `encoder` - Use this JSON encoder to serialize input object. Defaults to `None`.
---
# Miscellaneous fields
## ReadOnlyField
A field class that simply returns the value of the field without modification.
This field is used by default with `ModelSerializer` when including field names that relate to an attribute rather than a model field.
**Signature**: `ReadOnlyField()`
For example, if `has_expired` was a property on the `Account` model, then the following serializer would automatically generate it as a `ReadOnlyField`:
class AccountSerializer(serializers.ModelSerializer):
class Meta:
model = Account
fields = ['id', 'account_name', 'has_expired']
## HiddenField
A field class that does not take a value based on user input, but instead takes its value from a default value or callable.
**Signature**: `HiddenField()`
For example, to include a field that always provides the current time as part of the serializer validated data, you would use the following:
modified = serializers.HiddenField(default=timezone.now)
The `HiddenField` class is usually only needed if you have some validation that needs to run based on some pre-provided field values, but you do not want to expose all of those fields to the end user.
For further examples on `HiddenField` see the [validators](validators.md) documentation.
!!! note
`HiddenField()` does not appear in `partial=True` serializer (when making `PATCH` request).
## ModelField
A generic field that can be tied to any arbitrary model field. The `ModelField` class delegates the task of serialization/deserialization to its associated model field. This field can be used to create serializer fields for custom model fields, without having to create a new custom serializer field.
This field is used by `ModelSerializer` to correspond to custom model field classes.
**Signature:** `ModelField(model_field=)`
The `ModelField` class is generally intended for internal use, but can be used by your API if needed. In order to properly instantiate a `ModelField`, it must be passed a field that is attached to an instantiated model. For example: `ModelField(model_field=MyModel()._meta.get_field('custom_field'))`
## SerializerMethodField
This is a read-only field. It gets its value by calling a method on the serializer class it is attached to. It can be used to add any sort of data to the serialized representation of your object.
**Signature**: `SerializerMethodField(method_name=None)`
* `method_name` - The name of the method on the serializer to be called. If not included this defaults to `get_`.
The serializer method referred to by the `method_name` argument should accept a single argument (in addition to `self`), which is the object being serialized. It should return whatever you want to be included in the serialized representation of the object. For example:
from django.contrib.auth.models import User
from django.utils.timezone import now
from rest_framework import serializers
class UserSerializer(serializers.ModelSerializer):
days_since_joined = serializers.SerializerMethodField()
class Meta:
model = User
fields = '__all__'
def get_days_since_joined(self, obj):
return (now() - obj.date_joined).days
---
# Custom fields
If you want to create a custom field, you'll need to subclass `Field` and then override either one or both of the `.to_representation()` and `.to_internal_value()` methods. These two methods are used to convert between the initial datatype, and a primitive, serializable datatype. Primitive datatypes will typically be any of a number, string, boolean, `date`/`time`/`datetime` or `None`. They may also be any list or dictionary like object that only contains other primitive objects. Other types might be supported, depending on the renderer that you are using.
The `.to_representation()` method is called to convert the initial datatype into a primitive, serializable datatype.
The `.to_internal_value()` method is called to restore a primitive datatype into its internal python representation. This method should raise a `serializers.ValidationError` if the data is invalid.
## Examples
### A Basic Custom Field
Let's look at an example of serializing a class that represents an RGB color value:
class Color:
"""
A color represented in the RGB colorspace.
"""
def __init__(self, red, green, blue):
assert(red >= 0 and green >= 0 and blue >= 0)
assert(red < 256 and green < 256 and blue < 256)
self.red, self.green, self.blue = red, green, blue
class ColorField(serializers.Field):
"""
Color objects are serialized into 'rgb(#, #, #)' notation.
"""
def to_representation(self, value):
return "rgb(%d, %d, %d)" % (value.red, value.green, value.blue)
def to_internal_value(self, data):
data = data.strip('rgb(').rstrip(')')
red, green, blue = [int(col) for col in data.split(',')]
return Color(red, green, blue)
By default field values are treated as mapping to an attribute on the object. If you need to customize how the field value is accessed and set you need to override `.get_attribute()` and/or `.get_value()`.
As an example, let's create a field that can be used to represent the class name of the object being serialized:
class ClassNameField(serializers.Field):
def get_attribute(self, instance):
# We pass the object instance onto `to_representation`,
# not just the field attribute.
return instance
def to_representation(self, value):
"""
Serialize the value's class name.
"""
return value.__class__.__name__
### Raising validation errors
Our `ColorField` class above currently does not perform any data validation.
To indicate invalid data, we should raise a `serializers.ValidationError`, like so:
def to_internal_value(self, data):
if not isinstance(data, str):
msg = 'Incorrect type. Expected a string, but got %s'
raise ValidationError(msg % type(data).__name__)
if not re.match(r'^rgb\([0-9]+,[0-9]+,[0-9]+\)$', data):
raise ValidationError('Incorrect format. Expected `rgb(#,#,#)`.')
data = data.strip('rgb(').rstrip(')')
red, green, blue = [int(col) for col in data.split(',')]
if any([col > 255 or col < 0 for col in (red, green, blue)]):
raise ValidationError('Value out of range. Must be between 0 and 255.')
return Color(red, green, blue)
The `.fail()` method is a shortcut for raising `ValidationError` that takes a message string from the `error_messages` dictionary. For example:
default_error_messages = {
'incorrect_type': 'Incorrect type. Expected a string, but got {input_type}',
'incorrect_format': 'Incorrect format. Expected `rgb(#,#,#)`.',
'out_of_range': 'Value out of range. Must be between 0 and 255.'
}
def to_internal_value(self, data):
if not isinstance(data, str):
self.fail('incorrect_type', input_type=type(data).__name__)
if not re.match(r'^rgb\([0-9]+,[0-9]+,[0-9]+\)$', data):
self.fail('incorrect_format')
data = data.strip('rgb(').rstrip(')')
red, green, blue = [int(col) for col in data.split(',')]
if any([col > 255 or col < 0 for col in (red, green, blue)]):
self.fail('out_of_range')
return Color(red, green, blue)
This style keeps your error messages cleaner and more separated from your code, and should be preferred.
### Using `source='*'`
Here we'll take an example of a _flat_ `DataPoint` model with `x_coordinate` and `y_coordinate` attributes.
class DataPoint(models.Model):
label = models.CharField(max_length=50)
x_coordinate = models.SmallIntegerField()
y_coordinate = models.SmallIntegerField()
Using a custom field and `source='*'` we can provide a nested representation of
the coordinate pair:
class CoordinateField(serializers.Field):
def to_representation(self, value):
ret = {
"x": value.x_coordinate,
"y": value.y_coordinate
}
return ret
def to_internal_value(self, data):
ret = {
"x_coordinate": data["x"],
"y_coordinate": data["y"],
}
return ret
class DataPointSerializer(serializers.ModelSerializer):
coordinates = CoordinateField(source='*')
class Meta:
model = DataPoint
fields = ['label', 'coordinates']
Note that this example doesn't handle validation. Partly for that reason, in a
real project, the coordinate nesting might be better handled with a nested serializer
using `source='*'`, with two `IntegerField` instances, each with their own `source`
pointing to the relevant field.
The key points from the example, though, are:
* `to_representation` is passed the entire `DataPoint` object and must map from that
to the desired output.
>>> instance = DataPoint(label='Example', x_coordinate=1, y_coordinate=2)
>>> out_serializer = DataPointSerializer(instance)
>>> out_serializer.data
ReturnDict([('label', 'Example'), ('coordinates', {'x': 1, 'y': 2})])
* Unless our field is to be read-only, `to_internal_value` must map back to a dict
suitable for updating our target object. With `source='*'`, the return from
`to_internal_value` will update the root validated data dictionary, rather than a single key.
>>> data = {
... "label": "Second Example",
... "coordinates": {
... "x": 3,
... "y": 4,
... }
... }
>>> in_serializer = DataPointSerializer(data=data)
>>> in_serializer.is_valid()
True
>>> in_serializer.validated_data
OrderedDict([('label', 'Second Example'),
('y_coordinate', 4),
('x_coordinate', 3)])
For completeness let's do the same thing again but with the nested serializer
approach suggested above:
class NestedCoordinateSerializer(serializers.Serializer):
x = serializers.IntegerField(source='x_coordinate')
y = serializers.IntegerField(source='y_coordinate')
class DataPointSerializer(serializers.ModelSerializer):
coordinates = NestedCoordinateSerializer(source='*')
class Meta:
model = DataPoint
fields = ['label', 'coordinates']
Here the mapping between the target and source attribute pairs (`x` and
`x_coordinate`, `y` and `y_coordinate`) is handled in the `IntegerField`
declarations. It's our `NestedCoordinateSerializer` that takes `source='*'`.
Our new `DataPointSerializer` exhibits the same behavior as the custom field
approach.
Serializing:
>>> out_serializer = DataPointSerializer(instance)
>>> out_serializer.data
ReturnDict([('label', 'testing'),
('coordinates', OrderedDict([('x', 1), ('y', 2)]))])
Deserializing:
>>> in_serializer = DataPointSerializer(data=data)
>>> in_serializer.is_valid()
True
>>> in_serializer.validated_data
OrderedDict([('label', 'still testing'),
('x_coordinate', 3),
('y_coordinate', 4)])
But we also get the built-in validation for free:
>>> invalid_data = {
... "label": "still testing",
... "coordinates": {
... "x": 'a',
... "y": 'b',
... }
... }
>>> invalid_serializer = DataPointSerializer(data=invalid_data)
>>> invalid_serializer.is_valid()
False
>>> invalid_serializer.errors
ReturnDict([('coordinates',
{'x': ['A valid integer is required.'],
'y': ['A valid integer is required.']})])
For this reason, the nested serializer approach would be the first to try. You
would use the custom field approach when the nested serializer becomes infeasible
or overly complex.
# Third party packages
The following third party packages are also available.
## DRF Compound Fields
The [drf-compound-fields][drf-compound-fields] package provides "compound" serializer fields, such as lists of simple values, which can be described by other fields rather than serializers with the `many=True` option. Also provided are fields for typed dictionaries and values that can be either a specific type or a list of items of that type.
## DRF Extra Fields
The [drf-extra-fields][drf-extra-fields] package provides extra serializer fields for REST framework, including `Base64ImageField` and `PointField` classes.
## djangorestframework-recursive
the [djangorestframework-recursive][djangorestframework-recursive] package provides a `RecursiveField` for serializing and deserializing recursive structures
## django-rest-framework-gis
The [django-rest-framework-gis][django-rest-framework-gis] package provides geographic addons for django rest framework like a `GeometryField` field and a GeoJSON serializer.
[cite]: https://docs.djangoproject.com/en/stable/ref/forms/api/#django.forms.Form.cleaned_data
[html-and-forms]: ../topics/html-and-forms.md
[FILE_UPLOAD_HANDLERS]: https://docs.djangoproject.com/en/stable/ref/settings/#std:setting-FILE_UPLOAD_HANDLERS
[strftime]: https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior
[iso8601]: https://www.w3.org/TR/NOTE-datetime
[drf-compound-fields]: https://drf-compound-fields.readthedocs.io
[drf-extra-fields]: https://github.com/Hipo/drf-extra-fields
[djangorestframework-recursive]: https://github.com/heywbj/django-rest-framework-recursive
[django-rest-framework-gis]: https://github.com/djangonauts/django-rest-framework-gis
[python-decimal-rounding-modes]: https://docs.python.org/3/library/decimal.html#rounding-modes
[django-current-timezone]: https://docs.djangoproject.com/en/stable/topics/i18n/timezones/#default-time-zone-and-current-time-zone
[django-docs-select-related]: https://docs.djangoproject.com/en/stable/ref/models/querysets/#django.db.models.query.QuerySet.select_related
---
---
source:
- filters.py
---
# Filtering
> The root QuerySet provided by the Manager describes all objects in the database table. Usually, though, you'll need to select only a subset of the complete set of objects.
>
> — [Django documentation][cite]
The default behavior of REST framework's generic list views is to return the entire queryset for a model manager. Often you will want your API to restrict the items that are returned by the queryset.
The simplest way to filter the queryset of any view that subclasses `GenericAPIView` is to override the `.get_queryset()` method.
Overriding this method allows you to customize the queryset returned by the view in a number of different ways.
## Filtering against the current user
You might want to filter the queryset to ensure that only results relevant to the currently authenticated user making the request are returned.
You can do so by filtering based on the value of `request.user`.
For example:
from myapp.models import Purchase
from myapp.serializers import PurchaseSerializer
from rest_framework import generics
class PurchaseList(generics.ListAPIView):
serializer_class = PurchaseSerializer
def get_queryset(self):
"""
This view should return a list of all the purchases
for the currently authenticated user.
"""
user = self.request.user
return Purchase.objects.filter(purchaser=user)
## Filtering against the URL
Another style of filtering might involve restricting the queryset based on some part of the URL.
For example if your URL config contained an entry like this:
re_path('^purchases/(?P.+)/$', PurchaseList.as_view()),
You could then write a view that returned a purchase queryset filtered by the username portion of the URL:
class PurchaseList(generics.ListAPIView):
serializer_class = PurchaseSerializer
def get_queryset(self):
"""
This view should return a list of all the purchases for
the user as determined by the username portion of the URL.
"""
username = self.kwargs['username']
return Purchase.objects.filter(purchaser__username=username)
## Filtering against query parameters
A final example of filtering the initial queryset would be to determine the initial queryset based on query parameters in the url.
We can override `.get_queryset()` to deal with URLs such as `http://example.com/api/purchases?username=denvercoder9`, and filter the queryset only if the `username` parameter is included in the URL:
class PurchaseList(generics.ListAPIView):
serializer_class = PurchaseSerializer
def get_queryset(self):
"""
Optionally restricts the returned purchases to a given user,
by filtering against a `username` query parameter in the URL.
"""
queryset = Purchase.objects.all()
username = self.request.query_params.get('username')
if username is not None:
queryset = queryset.filter(purchaser__username=username)
return queryset
---
# Generic Filtering
As well as being able to override the default queryset, REST framework also includes support for generic filtering backends that allow you to easily construct complex searches and filters.
Generic filters can also present themselves as HTML controls in the browsable API and admin API.

## Setting filter backends
The default filter backends may be set globally, using the `DEFAULT_FILTER_BACKENDS` setting. For example.
REST_FRAMEWORK = {
'DEFAULT_FILTER_BACKENDS': ['django_filters.rest_framework.DjangoFilterBackend']
}
You can also set the filter backends on a per-view, or per-viewset basis,
using the `GenericAPIView` class-based views.
import django_filters.rest_framework
from django.contrib.auth.models import User
from myapp.serializers import UserSerializer
from rest_framework import generics
class UserListView(generics.ListAPIView):
queryset = User.objects.all()
serializer_class = UserSerializer
filter_backends = [django_filters.rest_framework.DjangoFilterBackend]
## Filtering and object lookups
Note that if a filter backend is configured for a view, then as well as being used to filter list views, it will also be used to filter the querysets used for returning a single object.
For instance, given the previous example, and a product with an id of `4675`, the following URL would either return the corresponding object, or return a 404 response, depending on if the filtering conditions were met by the given product instance:
http://example.com/api/products/4675/?category=clothing&max_price=10.00
## Overriding the initial queryset
Note that you can use both an overridden `.get_queryset()` and generic filtering together, and everything will work as expected. For example, if `Product` had a many-to-many relationship with `User`, named `purchase`, you might want to write a view like this:
class PurchasedProductsList(generics.ListAPIView):
"""
Return a list of all the products that the authenticated
user has ever purchased, with optional filtering.
"""
model = Product
serializer_class = ProductSerializer
filterset_class = ProductFilter
def get_queryset(self):
user = self.request.user
return user.purchase_set.all()
---
# API Guide
## DjangoFilterBackend
The [`django-filter`][django-filter-docs] library includes a `DjangoFilterBackend` class which
supports highly customizable field filtering for REST framework.
To use `DjangoFilterBackend`, first install `django-filter`.
pip install django-filter
Then add `'django_filters'` to Django's `INSTALLED_APPS`:
INSTALLED_APPS = [
...
'django_filters',
...
]
You should now either add the filter backend to your settings:
REST_FRAMEWORK = {
'DEFAULT_FILTER_BACKENDS': ['django_filters.rest_framework.DjangoFilterBackend']
}
Or add the filter backend to an individual View or ViewSet.
from django_filters.rest_framework import DjangoFilterBackend
class UserListView(generics.ListAPIView):
...
filter_backends = [DjangoFilterBackend]
If all you need is simple equality-based filtering, you can set a `filterset_fields` attribute on the view, or viewset, listing the set of fields you wish to filter against.
class ProductList(generics.ListAPIView):
queryset = Product.objects.all()
serializer_class = ProductSerializer
filter_backends = [DjangoFilterBackend]
filterset_fields = ['category', 'in_stock']
This will automatically create a `FilterSet` class for the given fields, and will allow you to make requests such as:
http://example.com/api/products?category=clothing&in_stock=True
For more advanced filtering requirements you can specify a `FilterSet` class that should be used by the view.
You can read more about `FilterSet`s in the [django-filter documentation][django-filter-docs].
It's also recommended that you read the section on [DRF integration][django-filter-drf-docs].
## SearchFilter
The `SearchFilter` class supports simple single query parameter based searching, and is based on the [Django admin's search functionality][search-django-admin].
When in use, the browsable API will include a `SearchFilter` control:

The `SearchFilter` class will only be applied if the view has a `search_fields` attribute set. The `search_fields` attribute should be a list of names of text type fields on the model, such as `CharField` or `TextField`.
from rest_framework import filters
class UserListView(generics.ListAPIView):
queryset = User.objects.all()
serializer_class = UserSerializer
filter_backends = [filters.SearchFilter]
search_fields = ['username', 'email']
This will allow the client to filter the items in the list by making queries such as:
http://example.com/api/users?search=russell
You can also perform a related lookup on a ForeignKey or ManyToManyField with the lookup API double-underscore notation:
search_fields = ['username', 'email', 'profile__profession']
For [JSONField][JSONField] and [HStoreField][HStoreField] fields you can filter based on nested values within the data structure using the same double-underscore notation:
search_fields = ['data__breed', 'data__owner__other_pets__0__name']
By default, searches will use case-insensitive partial matches. The search parameter may contain multiple search terms, which should be whitespace and/or comma separated. If multiple search terms are used then objects will be returned in the list only if all the provided terms are matched. Searches may contain _quoted phrases_ with spaces, each phrase is considered as a single search term.
The search behavior may be specified by prefixing field names in `search_fields` with one of the following characters (which is equivalent to adding `__` to the field):
| Prefix | Lookup | |
| ------ | --------------| ------------------ |
| `^` | `istartswith` | Starts-with search.|
| `=` | `iexact` | Exact matches. |
| `$` | `iregex` | Regex search. |
| `@` | `search` | Full-text search (Currently only supported Django's [PostgreSQL backend][postgres-search]). |
| None | `icontains` | Contains search (Default). |
For example:
search_fields = ['=username', '=email']
By default, the search parameter is named `'search'`, but this may be overridden with the `SEARCH_PARAM` setting in the `REST_FRAMEWORK` configuration.
To dynamically change search fields based on request content, it's possible to subclass the `SearchFilter` and override the `get_search_fields()` function. For example, the following subclass will only search on `title` if the query parameter `title_only` is in the request:
from rest_framework import filters
class CustomSearchFilter(filters.SearchFilter):
def get_search_fields(self, view, request):
if request.query_params.get('title_only'):
return ['title']
return super().get_search_fields(view, request)
For more details, see the [Django documentation][search-django-admin].
---
## OrderingFilter
The `OrderingFilter` class supports simple query parameter controlled ordering of results.

By default, the query parameter is named `'ordering'`, but this may be overridden with the `ORDERING_PARAM` setting in the `REST_FRAMEWORK` configuration.
For example, to order users by username:
http://example.com/api/users?ordering=username
The client may also specify reverse orderings by prefixing the field name with '-', like so:
http://example.com/api/users?ordering=-username
Multiple orderings may also be specified:
http://example.com/api/users?ordering=account,username
### Specifying which fields may be ordered against
It's recommended that you explicitly specify which fields the API should allow in the ordering filter. You can do this by setting an `ordering_fields` attribute on the view, like so:
class UserListView(generics.ListAPIView):
queryset = User.objects.all()
serializer_class = UserSerializer
filter_backends = [filters.OrderingFilter]
ordering_fields = ['username', 'email']
This helps prevent unexpected data leakage, such as allowing users to order against a password hash field or other sensitive data.
If you *don't* specify an `ordering_fields` attribute on the view, the filter class will default to allowing the user to filter on any readable fields on the serializer specified by the `serializer_class` attribute.
If you are confident that the queryset being used by the view doesn't contain any sensitive data, you can also explicitly specify that a view should allow ordering on *any* model field or queryset aggregate, by using the special value `'__all__'`.
class BookingsListView(generics.ListAPIView):
queryset = Booking.objects.all()
serializer_class = BookingSerializer
filter_backends = [filters.OrderingFilter]
ordering_fields = '__all__'
### Specifying a default ordering
If an `ordering` attribute is set on the view, this will be used as the default ordering.
Typically you'd instead control this by setting `order_by` on the initial queryset, but using the `ordering` parameter on the view allows you to specify the ordering in a way that it can then be passed automatically as context to a rendered template. This makes it possible to automatically render column headers differently if they are being used to order the results.
class UserListView(generics.ListAPIView):
queryset = User.objects.all()
serializer_class = UserSerializer
filter_backends = [filters.OrderingFilter]
ordering_fields = ['username', 'email']
ordering = ['username']
The `ordering` attribute may be either a string or a list/tuple of strings.
---
# Custom generic filtering
You can also provide your own generic filtering backend, or write an installable app for other developers to use.
To do so override `BaseFilterBackend`, and override the `.filter_queryset(self, request, queryset, view)` method. The method should return a new, filtered queryset.
As well as allowing clients to perform searches and filtering, generic filter backends can be useful for restricting which objects should be visible to any given request or user.
## Example
For example, you might need to restrict users to only being able to see objects they created.
class IsOwnerFilterBackend(filters.BaseFilterBackend):
"""
Filter that only allows users to see their own objects.
"""
def filter_queryset(self, request, queryset, view):
return queryset.filter(owner=request.user)
We could achieve the same behavior by overriding `get_queryset()` on the views, but using a filter backend allows you to more easily add this restriction to multiple views, or to apply it across the entire API.
## Customizing the interface
Generic filters may also present an interface in the browsable API. To do so you should implement a `to_html()` method which returns a rendered HTML representation of the filter. This method should have the following signature:
`to_html(self, request, queryset, view)`
The method should return a rendered HTML string.
# Third party packages
The following third party packages provide additional filter implementations.
## Django REST framework filters package
The [django-rest-framework-filters package][django-rest-framework-filters] works together with the `DjangoFilterBackend` class, and allows you to easily create filters across relationships, or create multiple filter lookup types for a given field.
## Django REST framework full word search filter
The [djangorestframework-word-filter][django-rest-framework-word-search-filter] developed as alternative to `filters.SearchFilter` which will search full word in text, or exact match.
## Django URL Filter
[django-url-filter][django-url-filter] provides a safe way to filter data via human-friendly URLs. It works very similar to DRF serializers and fields in a sense that they can be nested except they are called filtersets and filters. That provides easy way to filter related data. Also this library is generic-purpose so it can be used to filter other sources of data and not only Django `QuerySet`s.
## drf-url-filters
[drf-url-filter][drf-url-filter] is a simple Django app to apply filters on drf `ModelViewSet`'s `Queryset` in a clean, simple and configurable way. It also supports validations on incoming query params and their values. A beautiful python package `Voluptuous` is being used for validations on the incoming query parameters. The best part about voluptuous is you can define your own validations as per your query params requirements.
[cite]: https://docs.djangoproject.com/en/stable/topics/db/queries/#retrieving-specific-objects-with-filters
[django-filter-docs]: https://django-filter.readthedocs.io/en/latest/index.html
[django-filter-drf-docs]: https://django-filter.readthedocs.io/en/latest/guide/rest_framework.html
[search-django-admin]: https://docs.djangoproject.com/en/stable/ref/contrib/admin/#django.contrib.admin.ModelAdmin.search_fields
[django-rest-framework-filters]: https://github.com/philipn/django-rest-framework-filters
[django-rest-framework-word-search-filter]: https://github.com/trollknurr/django-rest-framework-word-search-filter
[django-url-filter]: https://github.com/miki725/django-url-filter
[drf-url-filter]: https://github.com/manjitkumar/drf-url-filters
[HStoreField]: https://docs.djangoproject.com/en/stable/ref/contrib/postgres/fields/#hstorefield
[JSONField]: https://docs.djangoproject.com/en/stable/ref/models/fields/#django.db.models.JSONField
[postgres-search]: https://docs.djangoproject.com/en/stable/ref/contrib/postgres/search/
---
---
source:
- urlpatterns.py
---
# Format suffixes
> Section 6.2.1 does not say that content negotiation should be
used all the time.
>
> — Roy Fielding, [REST discuss mailing list][cite]
A common pattern for Web APIs is to use filename extensions on URLs to provide an endpoint for a given media type. For example, 'http://example.com/api/users.json' to serve a JSON representation.
Adding format-suffix patterns to each individual entry in the URLconf for your API is error-prone and non-DRY, so REST framework provides a shortcut to adding these patterns to your URLConf.
## format_suffix_patterns
**Signature**: format_suffix_patterns(urlpatterns, suffix_required=False, allowed=None)
Returns a URL pattern list which includes format suffix patterns appended to each of the URL patterns provided.
Arguments:
* **urlpatterns**: Required. A URL pattern list.
* **suffix_required**: Optional. A boolean indicating if suffixes in the URLs should be optional or mandatory. Defaults to `False`, meaning that suffixes are optional by default.
* **allowed**: Optional. A list or tuple of valid format suffixes. If not provided, a wildcard format suffix pattern will be used.
Example:
from rest_framework.urlpatterns import format_suffix_patterns
from blog import views
urlpatterns = [
path('', views.apt_root),
path('comments/', views.comment_list),
path('comments//', views.comment_detail)
]
urlpatterns = format_suffix_patterns(urlpatterns, allowed=['json', 'html'])
When using `format_suffix_patterns`, you must make sure to add the `'format'` keyword argument to the corresponding views. For example:
@api_view(['GET', 'POST'])
def comment_list(request, format=None):
# do stuff...
Or with class-based views:
class CommentList(APIView):
def get(self, request, format=None):
# do stuff...
def post(self, request, format=None):
# do stuff...
The name of the kwarg used may be modified by using the `FORMAT_SUFFIX_KWARG` setting.
Also note that `format_suffix_patterns` does not support descending into `include` URL patterns.
### Using with `i18n_patterns`
If using the `i18n_patterns` function provided by Django, as well as `format_suffix_patterns` you should make sure that the `i18n_patterns` function is applied as the final, or outermost function. For example:
urlpatterns = [
…
]
urlpatterns = i18n_patterns(
format_suffix_patterns(urlpatterns, allowed=['json', 'html'])
)
---
## Query parameter formats
An alternative to the format suffixes is to include the requested format in a query parameter. REST framework provides this option by default, and it is used in the browsable API to switch between differing available representations.
To select a representation using its short format, use the `format` query parameter. For example: `http://example.com/organizations/?format=csv`.
The name of this query parameter can be modified using the `URL_FORMAT_OVERRIDE` setting. Set the value to `None` to disable this behavior.
---
## Accept headers vs. format suffixes
There seems to be a view among some of the Web community that filename extensions are not a RESTful pattern, and that `HTTP Accept` headers should always be used instead.
It is actually a misconception. For example, take the following quote from Roy Fielding discussing the relative merits of query parameter media-type indicators vs. file extension media-type indicators:
“That's why I always prefer extensions. Neither choice has anything to do with REST.” — Roy Fielding, [REST discuss mailing list][cite2]
The quote does not mention Accept headers, but it does make it clear that format suffixes should be considered an acceptable pattern.
[cite]: http://tech.groups.yahoo.com/group/rest-discuss/message/5857
[cite2]: https://groups.yahoo.com/neo/groups/rest-discuss/conversations/topics/14844
---
---
source:
- mixins.py
- generics.py
---
# Generic views
> Django’s generic views... were developed as a shortcut for common usage patterns... They take certain common idioms and patterns found in view development and abstract them so that you can quickly write common views of data without having to repeat yourself.
>
> — [Django Documentation][cite]
One of the key benefits of class-based views is the way they allow you to compose bits of reusable behavior. REST framework takes advantage of this by providing a number of pre-built views that provide for commonly used patterns.
The generic views provided by REST framework allow you to quickly build API views that map closely to your database models.
If the generic views don't suit the needs of your API, you can drop down to using the regular `APIView` class, or reuse the mixins and base classes used by the generic views to compose your own set of reusable generic views.
## Examples
Typically when using the generic views, you'll override the view, and set several class attributes.
from django.contrib.auth.models import User
from myapp.serializers import UserSerializer
from rest_framework import generics
from rest_framework.permissions import IsAdminUser
class UserList(generics.ListCreateAPIView):
queryset = User.objects.all()
serializer_class = UserSerializer
permission_classes = [IsAdminUser]
For more complex cases you might also want to override various methods on the view class. For example.
class UserList(generics.ListCreateAPIView):
queryset = User.objects.all()
serializer_class = UserSerializer
permission_classes = [IsAdminUser]
def list(self, request):
# Note the use of `get_queryset()` instead of `self.queryset`
queryset = self.get_queryset()
serializer = UserSerializer(queryset, many=True)
return Response(serializer.data)
For very simple cases you might want to pass through any class attributes using the `.as_view()` method. For example, your URLconf might include something like the following entry:
path('users/', ListCreateAPIView.as_view(queryset=User.objects.all(), serializer_class=UserSerializer), name='user-list')
---
# API Reference
## GenericAPIView
This class extends REST framework's `APIView` class, adding commonly required behavior for standard list and detail views.
Each of the concrete generic views provided is built by combining `GenericAPIView`, with one or more mixin classes.
### Attributes
**Basic settings**:
The following attributes control the basic view behavior.
* `queryset` - The queryset that should be used for returning objects from this view. Typically, you must either set this attribute, or override the `get_queryset()` method. If you are overriding a view method, it is important that you call `get_queryset()` instead of accessing this property directly, as `queryset` will get evaluated once, and those results will be cached for all subsequent requests.
* `serializer_class` - The serializer class that should be used for validating and deserializing input, and for serializing output. Typically, you must either set this attribute, or override the `get_serializer_class()` method.
* `lookup_field` - The model field that should be used for performing object lookup of individual model instances. Defaults to `'pk'`. Note that when using hyperlinked APIs you'll need to ensure that *both* the API views *and* the serializer classes set the lookup fields if you need to use a custom value.
* `lookup_url_kwarg` - The URL keyword argument that should be used for object lookup. The URL conf should include a keyword argument corresponding to this value. If unset this defaults to using the same value as `lookup_field`.
**Pagination**:
The following attributes are used to control pagination when used with list views.
* `pagination_class` - The pagination class that should be used when paginating list results. Defaults to the same value as the `DEFAULT_PAGINATION_CLASS` setting, which is `'rest_framework.pagination.PageNumberPagination'`. Setting `pagination_class=None` will disable pagination on this view.
**Filtering**:
* `filter_backends` - A list of filter backend classes that should be used for filtering the queryset. Defaults to the same value as the `DEFAULT_FILTER_BACKENDS` setting.
### Methods
**Base methods**:
#### `get_queryset(self)`
Returns the queryset that should be used for list views, and that should be used as the base for lookups in detail views. Defaults to returning the queryset specified by the `queryset` attribute.
This method should always be used rather than accessing `self.queryset` directly, as `self.queryset` gets evaluated only once, and those results are cached for all subsequent requests.
May be overridden to provide dynamic behavior, such as returning a queryset, that is specific to the user making the request.
For example:
def get_queryset(self):
user = self.request.user
return user.accounts.all()
!!! tip
If the `serializer_class` used in the generic view spans ORM relations, leading to an N+1 problem, you could optimize your queryset in this method using `select_related` and `prefetch_related`. To get more information about N+1 problem and use cases of the mentioned methods refer to related section in [django documentation][django-docs-select-related].
### Avoiding N+1 Queries
When listing objects (e.g. using `ListAPIView` or `ModelViewSet`), serializers may trigger an N+1 query pattern if related objects are accessed individually for each item.
To prevent this, optimize the queryset in `get_queryset()` or by setting the `queryset` class attribute using [`select_related()`](https://docs.djangoproject.com/en/stable/ref/models/querysets/#select-related) and [`prefetch_related()`](https://docs.djangoproject.com/en/stable/ref/models/querysets/#prefetch-related), depending on the type of relationship.
**For ForeignKey and OneToOneField**:
Use `select_related()` to fetch related objects in the same query:
def get_queryset(self):
return Order.objects.select_related("customer", "billing_address")
**For reverse and many-to-many relationships**:
Use `prefetch_related()` to efficiently load collections of related objects:
def get_queryset(self):
return Book.objects.prefetch_related("categories", "reviews__user")
**Combining both**:
def get_queryset(self):
return (
Order.objects
.select_related("customer")
.prefetch_related("items__product")
)
These optimizations reduce repeated database access and improve list view performance.
---
#### `get_object(self)`
Returns an object instance that should be used for detail views. Defaults to using the `lookup_field` parameter to filter the base queryset.
May be overridden to provide more complex behavior, such as object lookups based on more than one URL kwarg.
For example:
def get_object(self):
queryset = self.get_queryset()
filter = {}
for field in self.multiple_lookup_fields:
filter[field] = self.kwargs[field]
obj = get_object_or_404(queryset, **filter)
self.check_object_permissions(self.request, obj)
return obj
Note that if your API doesn't include any object level permissions, you may optionally exclude the `self.check_object_permissions`, and simply return the object from the `get_object_or_404` lookup.
#### `filter_queryset(self, queryset)`
Given a queryset, filter it with whichever filter backends are in use, returning a new queryset.
For example:
def filter_queryset(self, queryset):
filter_backends = [CategoryFilter]
if 'geo_route' in self.request.query_params:
filter_backends = [GeoRouteFilter, CategoryFilter]
elif 'geo_point' in self.request.query_params:
filter_backends = [GeoPointFilter, CategoryFilter]
for backend in list(filter_backends):
queryset = backend().filter_queryset(self.request, queryset, view=self)
return queryset
#### `get_serializer_class(self)`
Returns the class that should be used for the serializer. Defaults to returning the `serializer_class` attribute.
May be overridden to provide dynamic behavior, such as using different serializers for read and write operations, or providing different serializers to different types of users.
For example:
def get_serializer_class(self):
if self.request.user.is_staff:
return FullAccountSerializer
return BasicAccountSerializer
**Save and deletion hooks**:
The following methods are provided by the mixin classes, and provide easy overriding of the object save or deletion behavior.
* `perform_create(self, serializer)` - Called by `CreateModelMixin` when saving a new object instance.
* `perform_update(self, serializer)` - Called by `UpdateModelMixin` when saving an existing object instance.
* `perform_destroy(self, instance)` - Called by `DestroyModelMixin` when deleting an object instance.
These hooks are particularly useful for setting attributes that are implicit in the request, but are not part of the request data. For instance, you might set an attribute on the object based on the request user, or based on a URL keyword argument.
def perform_create(self, serializer):
serializer.save(user=self.request.user)
These override points are also particularly useful for adding behavior that occurs before or after saving an object, such as emailing a confirmation, or logging the update.
def perform_update(self, serializer):
instance = serializer.save()
send_email_confirmation(user=self.request.user, modified=instance)
You can also use these hooks to provide additional validation, by raising a `ValidationError()`. This can be useful if you need some validation logic to apply at the point of database save. For example:
def perform_create(self, serializer):
queryset = SignupRequest.objects.filter(user=self.request.user)
if queryset.exists():
raise ValidationError('You have already signed up')
serializer.save(user=self.request.user)
**Other methods**:
You won't typically need to override the following methods, although you might need to call into them if you're writing custom views using `GenericAPIView`.
* `get_serializer_context(self)` - Returns a dictionary containing any extra context that should be supplied to the serializer. Defaults to including `'request'`, `'view'` and `'format'` keys.
* `get_serializer(self, instance=None, data=None, many=False, partial=False)` - Returns a serializer instance.
* `get_paginated_response(self, data)` - Returns a paginated style `Response` object.
* `paginate_queryset(self, queryset)` - Paginate a queryset if required, either returning a page object, or `None` if pagination is not configured for this view.
* `filter_queryset(self, queryset)` - Given a queryset, filter it with whichever filter backends are in use, returning a new queryset.
---
# Mixins
The mixin classes provide the actions that are used to provide the basic view behavior. Note that the mixin classes provide action methods rather than defining the handler methods, such as `.get()` and `.post()`, directly. This allows for more flexible composition of behavior.
The mixin classes can be imported from `rest_framework.mixins`.
## ListModelMixin
Provides a `.list(request, *args, **kwargs)` method, that implements listing a queryset.
If the queryset is populated, this returns a `200 OK` response, with a serialized representation of the queryset as the body of the response. The response data may optionally be paginated.
## CreateModelMixin
Provides a `.create(request, *args, **kwargs)` method, that implements creating and saving a new model instance.
If an object is created this returns a `201 Created` response, with a serialized representation of the object as the body of the response. If the representation contains a key named `url`, then the `Location` header of the response will be populated with that value.
If the request data provided for creating the object was invalid, a `400 Bad Request` response will be returned, with the error details as the body of the response.
## RetrieveModelMixin
Provides a `.retrieve(request, *args, **kwargs)` method, that implements returning an existing model instance in a response.
If an object can be retrieved this returns a `200 OK` response, with a serialized representation of the object as the body of the response. Otherwise, it will return a `404 Not Found`.
## UpdateModelMixin
Provides a `.update(request, *args, **kwargs)` method, that implements updating and saving an existing model instance.
Also provides a `.partial_update(request, *args, **kwargs)` method, which is similar to the `update` method, except that all fields for the update will be optional. This allows support for HTTP `PATCH` requests.
If an object is updated this returns a `200 OK` response, with a serialized representation of the object as the body of the response.
If the request data provided for updating the object was invalid, a `400 Bad Request` response will be returned, with the error details as the body of the response.
## DestroyModelMixin
Provides a `.destroy(request, *args, **kwargs)` method, that implements deletion of an existing model instance.
If an object is deleted this returns a `204 No Content` response, otherwise it will return a `404 Not Found`.
---
# Concrete View Classes
The following classes are the concrete generic views. If you're using generic views this is normally the level you'll be working at unless you need heavily customized behavior.
The view classes can be imported from `rest_framework.generics`.
## CreateAPIView
Used for **create-only** endpoints.
Provides a `post` method handler.
Extends: [GenericAPIView], [CreateModelMixin]
## ListAPIView
Used for **read-only** endpoints to represent a **collection of model instances**.
Provides a `get` method handler.
Extends: [GenericAPIView], [ListModelMixin]
## RetrieveAPIView
Used for **read-only** endpoints to represent a **single model instance**.
Provides a `get` method handler.
Extends: [GenericAPIView], [RetrieveModelMixin]
## DestroyAPIView
Used for **delete-only** endpoints for a **single model instance**.
Provides a `delete` method handler.
Extends: [GenericAPIView], [DestroyModelMixin]
## UpdateAPIView
Used for **update-only** endpoints for a **single model instance**.
Provides `put` and `patch` method handlers.
Extends: [GenericAPIView], [UpdateModelMixin]
## ListCreateAPIView
Used for **read-write** endpoints to represent a **collection of model instances**.
Provides `get` and `post` method handlers.
Extends: [GenericAPIView], [ListModelMixin], [CreateModelMixin]
## RetrieveUpdateAPIView
Used for **read or update** endpoints to represent a **single model instance**.
Provides `get`, `put` and `patch` method handlers.
Extends: [GenericAPIView], [RetrieveModelMixin], [UpdateModelMixin]
## RetrieveDestroyAPIView
Used for **read or delete** endpoints to represent a **single model instance**.
Provides `get` and `delete` method handlers.
Extends: [GenericAPIView], [RetrieveModelMixin], [DestroyModelMixin]
## RetrieveUpdateDestroyAPIView
Used for **read-write-delete** endpoints to represent a **single model instance**.
Provides `get`, `put`, `patch` and `delete` method handlers.
Extends: [GenericAPIView], [RetrieveModelMixin], [UpdateModelMixin], [DestroyModelMixin]
---
# Customizing the generic views
Often you'll want to use the existing generic views, but use some slightly customized behavior. If you find yourself reusing some bit of customized behavior in multiple places, you might want to refactor the behavior into a common class that you can then just apply to any view or viewset as needed.
## Creating custom mixins
For example, if you need to lookup objects based on multiple fields in the URL conf, you could create a mixin class like the following:
class MultipleFieldLookupMixin:
"""
Apply this mixin to any view or viewset to get multiple field filtering
based on a `lookup_fields` attribute, instead of the default single field filtering.
"""
def get_object(self):
queryset = self.get_queryset() # Get the base queryset
queryset = self.filter_queryset(queryset) # Apply any filter backends
filter = {}
for field in self.lookup_fields:
if self.kwargs.get(field): # Ignore empty fields.
filter[field] = self.kwargs[field]
obj = get_object_or_404(queryset, **filter) # Lookup the object
self.check_object_permissions(self.request, obj)
return obj
You can then simply apply this mixin to a view or viewset anytime you need to apply the custom behavior.
class RetrieveUserView(MultipleFieldLookupMixin, generics.RetrieveAPIView):
queryset = User.objects.all()
serializer_class = UserSerializer
lookup_fields = ['account', 'username']
Using custom mixins is a good option if you have custom behavior that needs to be used.
## Creating custom base classes
If you are using a mixin across multiple views, you can take this a step further and create your own set of base views that can then be used throughout your project. For example:
class BaseRetrieveView(MultipleFieldLookupMixin,
generics.RetrieveAPIView):
pass
class BaseRetrieveUpdateDestroyView(MultipleFieldLookupMixin,
generics.RetrieveUpdateDestroyAPIView):
pass
Using custom base classes is a good option if you have custom behavior that consistently needs to be repeated across a large number of views throughout your project.
---
# PUT as create
Prior to version 3.0 the REST framework mixins treated `PUT` as either an update or a create operation, depending on if the object already existed or not.
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 from version 3.0 onwards we now use 404 behavior as the default, due to it being simpler and more obvious.
---
# Third party packages
The following third party packages provide additional generic view implementations.
## Django Rest Multiple Models
[Django Rest Multiple Models][django-rest-multiple-models] provides a generic view (and mixin) for sending multiple serialized models and/or querysets via a single API request.
[cite]: https://docs.djangoproject.com/en/stable/ref/class-based-views/#base-vs-generic-views
[GenericAPIView]: #genericapiview
[ListModelMixin]: #listmodelmixin
[CreateModelMixin]: #createmodelmixin
[RetrieveModelMixin]: #retrievemodelmixin
[UpdateModelMixin]: #updatemodelmixin
[DestroyModelMixin]: #destroymodelmixin
[django-rest-multiple-models]: https://github.com/MattBroach/DjangoRestMultipleModels
[django-docs-select-related]: https://docs.djangoproject.com/en/stable/ref/models/querysets/#django.db.models.query.QuerySet.select_related
---
---
source:
- metadata.py
---
# Metadata
> [The `OPTIONS`] method allows a client to determine the options and/or requirements associated with a resource, or the capabilities of a server, without implying a resource action or initiating a resource retrieval.
>
> — [RFC7231, Section 4.3.7.][cite]
REST framework includes a configurable mechanism for determining how your API should respond to `OPTIONS` requests. This allows you to return API schema or other resource information.
There are not currently any widely adopted conventions for exactly what style of response should be returned for HTTP `OPTIONS` requests, so we provide an ad-hoc style that returns some useful information.
Here's an example response that demonstrates the information that is returned by default.
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
{
"name": "To Do List",
"description": "List existing 'To Do' items, or create a new item.",
"renders": [
"application/json",
"text/html"
],
"parses": [
"application/json",
"application/x-www-form-urlencoded",
"multipart/form-data"
],
"actions": {
"POST": {
"note": {
"type": "string",
"required": false,
"read_only": false,
"label": "title",
"max_length": 100
}
}
}
}
## Setting the metadata scheme
You can set the metadata class globally using the `'DEFAULT_METADATA_CLASS'` settings key:
REST_FRAMEWORK = {
'DEFAULT_METADATA_CLASS': 'rest_framework.metadata.SimpleMetadata'
}
Or you can set the metadata class individually for a view:
class APIRoot(APIView):
metadata_class = APIRootMetadata
def get(self, request, format=None):
return Response({
...
})
The REST framework package only includes a single metadata class implementation, named `SimpleMetadata`. If you want to use an alternative style you'll need to implement a custom metadata class.
## Creating schema endpoints
If you have specific requirements for creating schema endpoints that are accessed with regular `GET` requests, you might consider reusing the metadata API for doing so.
For example, the following additional route could be used on a viewset to provide a linkable schema endpoint.
@action(methods=['GET'], detail=False)
def api_schema(self, request):
meta = self.metadata_class()
data = meta.determine_metadata(request, self)
return Response(data)
There are a couple of reasons that you might choose to take this approach, including that `OPTIONS` responses [are not cacheable][no-options].
---
# Custom metadata classes
If you want to provide a custom metadata class you should override `BaseMetadata` and implement the `determine_metadata(self, request, view)` method.
Useful things that you might want to do could include returning schema information, using a format such as [JSON schema][json-schema], or returning debug information to admin users.
## Example
The following class could be used to limit the information that is returned to `OPTIONS` requests.
class MinimalMetadata(BaseMetadata):
"""
Don't include field and other information for `OPTIONS` requests.
Just return the name and description.
"""
def determine_metadata(self, request, view):
return {
'name': view.get_view_name(),
'description': view.get_view_description()
}
Then configure your settings to use this custom class:
REST_FRAMEWORK = {
'DEFAULT_METADATA_CLASS': 'myproject.apps.core.MinimalMetadata'
}
# Third party packages
The following third party packages provide additional metadata implementations.
## DRF-schema-adapter
[drf-schema-adapter][drf-schema-adapter] is a set of tools that makes it easier to provide schema information to frontend frameworks and libraries. It provides a metadata mixin as well as 2 metadata classes and several adapters suitable to generate [json-schema][json-schema] as well as schema information readable by various libraries.
You can also write your own adapter to work with your specific frontend.
If you wish to do so, it also provides an exporter that can export those schema information to json files.
[cite]: https://tools.ietf.org/html/rfc7231#section-4.3.7
[no-options]: https://www.mnot.net/blog/2012/10/29/NO_OPTIONS
[json-schema]: https://json-schema.org/
[drf-schema-adapter]: https://github.com/drf-forms/drf-schema-adapter
---
---
source:
- pagination.py
---
# Pagination
> Django provides a few classes that help you manage paginated data – that is, data that’s split across several pages, with “Previous/Next” links.
>
> — [Django documentation][cite]
REST framework includes support for customizable pagination styles. This allows you to modify how large result sets are split into individual pages of data.
The pagination API can support either:
* Pagination links that are provided as part of the content of the response.
* Pagination links that are included in response headers, such as `Content-Range` or `Link`.
The built-in styles currently all use links included as part of the content of the response. This style is more accessible when using the browsable API.
Pagination is only performed automatically if you're using the generic views or viewsets. If you're using a regular `APIView`, you'll need to call into the pagination API yourself to ensure you return a paginated response. See the source code for the `mixins.ListModelMixin` and `generics.GenericAPIView` classes for an example.
Pagination can be turned off by setting the pagination class to `None`.
## Setting the pagination style
The pagination style may be set globally, using the `DEFAULT_PAGINATION_CLASS` and `PAGE_SIZE` setting keys. For example, to use the built-in limit/offset pagination, you would do something like this:
REST_FRAMEWORK = {
'DEFAULT_PAGINATION_CLASS': 'rest_framework.pagination.LimitOffsetPagination',
'PAGE_SIZE': 100
}
Note that you need to set both the pagination class, and the page size that should be used. Both `DEFAULT_PAGINATION_CLASS` and `PAGE_SIZE` are `None` by default.
You can also set the pagination class on an individual view by using the `pagination_class` attribute. Typically you'll want to use the same pagination style throughout your API, although you might want to vary individual aspects of the pagination, such as default or maximum page size, on a per-view basis.
## Modifying the pagination style
If you want to modify particular aspects of the pagination style, you'll want to override one of the pagination classes, and set the attributes that you want to change.
class LargeResultsSetPagination(PageNumberPagination):
page_size = 1000
page_size_query_param = 'page_size'
max_page_size = 10000
class StandardResultsSetPagination(PageNumberPagination):
page_size = 100
page_size_query_param = 'page_size'
max_page_size = 1000
You can then apply your new style to a view using the `pagination_class` attribute:
class BillingRecordsView(generics.ListAPIView):
queryset = Billing.objects.all()
serializer_class = BillingRecordsSerializer
pagination_class = LargeResultsSetPagination
Or apply the style globally, using the `DEFAULT_PAGINATION_CLASS` settings key. For example:
REST_FRAMEWORK = {
'DEFAULT_PAGINATION_CLASS': 'apps.core.pagination.StandardResultsSetPagination'
}
---
# API Reference
## PageNumberPagination
This pagination style accepts a single number page number in the request query parameters.
**Request**:
GET https://api.example.org/accounts/?page=4
**Response**:
HTTP 200 OK
{
"count": 1023,
"next": "https://api.example.org/accounts/?page=5",
"previous": "https://api.example.org/accounts/?page=3",
"results": [
…
]
}
#### Setup
To enable the `PageNumberPagination` style globally, use the following configuration, and set the `PAGE_SIZE` as desired:
REST_FRAMEWORK = {
'DEFAULT_PAGINATION_CLASS': 'rest_framework.pagination.PageNumberPagination',
'PAGE_SIZE': 100
}
On `GenericAPIView` subclasses you may also set the `pagination_class` attribute to select `PageNumberPagination` on a per-view basis.
#### Configuration
The `PageNumberPagination` class includes a number of attributes that may be overridden to modify the pagination style.
To set these attributes you should override the `PageNumberPagination` class, and then enable your custom pagination class as above.
* `django_paginator_class` - The Django Paginator class to use. Default is `django.core.paginator.Paginator`, which should be fine for most use cases.
* `page_size` - A numeric value indicating the page size. If set, this overrides the `PAGE_SIZE` setting. Defaults to the same value as the `PAGE_SIZE` settings key.
* `page_query_param` - A string value indicating the name of the query parameter to use for the pagination control.
* `page_size_query_param` - If set, this is a string value indicating the name of a query parameter that allows the client to set the page size on a per-request basis. Defaults to `None`, indicating that the client may not control the requested page size.
* `max_page_size` - If set, this is a numeric value indicating the maximum allowable requested page size. This attribute is only valid if `page_size_query_param` is also set.
* `last_page_strings` - A list or tuple of string values indicating values that may be used with the `page_query_param` to request the final page in the set. Defaults to `('last',)`. For example, use `?page=last` to go directly to the last page.
* `template` - The name of a template to use when rendering pagination controls in the browsable API. May be overridden to modify the rendering style, or set to `None` to disable HTML pagination controls completely. Defaults to `"rest_framework/pagination/numbers.html"`.
---
## LimitOffsetPagination
This pagination style mirrors the syntax used when looking up multiple database records. The client includes both a "limit" and an
"offset" query parameter. The limit indicates the maximum number of items to return, and is equivalent to the `page_size` in other styles. The offset indicates the starting position of the query in relation to the complete set of unpaginated items.
**Request**:
GET https://api.example.org/accounts/?limit=100&offset=400
**Response**:
HTTP 200 OK
{
"count": 1023,
"next": "https://api.example.org/accounts/?limit=100&offset=500",
"previous": "https://api.example.org/accounts/?limit=100&offset=300",
"results": [
…
]
}
#### Setup
To enable the `LimitOffsetPagination` style globally, use the following configuration:
REST_FRAMEWORK = {
'DEFAULT_PAGINATION_CLASS': 'rest_framework.pagination.LimitOffsetPagination'
}
Optionally, you may also set a `PAGE_SIZE` key. If the `PAGE_SIZE` parameter is also used then the `limit` query parameter will be optional, and may be omitted by the client.
On `GenericAPIView` subclasses you may also set the `pagination_class` attribute to select `LimitOffsetPagination` on a per-view basis.
#### Configuration
The `LimitOffsetPagination` class includes a number of attributes that may be overridden to modify the pagination style.
To set these attributes you should override the `LimitOffsetPagination` class, and then enable your custom pagination class as above.
* `default_limit` - A numeric value indicating the limit to use if one is not provided by the client in a query parameter. Defaults to the same value as the `PAGE_SIZE` settings key.
* `limit_query_param` - A string value indicating the name of the "limit" query parameter. Defaults to `'limit'`.
* `offset_query_param` - A string value indicating the name of the "offset" query parameter. Defaults to `'offset'`.
* `max_limit` - If set this is a numeric value indicating the maximum allowable limit that may be requested by the client. Defaults to `None`.
* `template` - The name of a template to use when rendering pagination controls in the browsable API. May be overridden to modify the rendering style, or set to `None` to disable HTML pagination controls completely. Defaults to `"rest_framework/pagination/numbers.html"`.
---
## CursorPagination
The cursor-based pagination presents an opaque "cursor" indicator that the client may use to page through the result set. This pagination style only presents forward and reverse controls, and does not allow the client to navigate to arbitrary positions.
Cursor based pagination requires that there is a unique, unchanging ordering of items in the result set. This ordering might typically be a creation timestamp on the records, as this presents a consistent ordering to paginate against.
Cursor based pagination is more complex than other schemes. It also requires that the result set presents a fixed ordering, and does not allow the client to arbitrarily index into the result set. However it does provide the following benefits:
* Provides a consistent pagination view. When used properly `CursorPagination` ensures that the client will never see the same item twice when paging through records, even when new items are being inserted by other clients during the pagination process.
* Supports usage with very large datasets. With extremely large datasets pagination using offset-based pagination styles may become inefficient or unusable. Cursor based pagination schemes instead have fixed-time properties, and do not slow down as the dataset size increases.
#### Details and limitations
Proper use of cursor based pagination requires a little attention to detail. You'll need to think about what ordering you want the scheme to be applied against. The default is to order by `"-created"`. This assumes that **there must be a 'created' timestamp field** on the model instances, and will present a "timeline" style paginated view, with the most recently added items first.
You can modify the ordering by overriding the `'ordering'` attribute on the pagination class, or by using the `OrderingFilter` filter class together with `CursorPagination`. When used with `OrderingFilter` you should strongly consider restricting the fields that the user may order by.
Proper usage of cursor pagination should have an ordering field that satisfies the following:
* Should be an unchanging value, such as a timestamp, slug, or other field that is only set once, on creation.
* Should be unique, or nearly unique. Millisecond precision timestamps are a good example. This implementation of cursor pagination uses a smart "position plus offset" style that allows it to properly support not-strictly-unique values as the ordering.
* Should be a non-nullable value that can be coerced to a string.
* Should not be a float. Precision errors easily lead to incorrect results.
Hint: use decimals instead.
(If you already have a float field and must paginate on that, an
[example `CursorPagination` subclass that uses decimals to limit precision is available here][float_cursor_pagination_example].)
* The field should have a database index.
Using an ordering field that does not satisfy these constraints will generally still work, but you'll be losing some of the benefits of cursor pagination.
For more technical details on the implementation we use for cursor pagination, the ["Building cursors for the Disqus API"][disqus-cursor-api] blog post gives a good overview of the basic approach.
#### Setup
To enable the `CursorPagination` style globally, use the following configuration, modifying the `PAGE_SIZE` as desired:
REST_FRAMEWORK = {
'DEFAULT_PAGINATION_CLASS': 'rest_framework.pagination.CursorPagination',
'PAGE_SIZE': 100
}
On `GenericAPIView` subclasses you may also set the `pagination_class` attribute to select `CursorPagination` on a per-view basis.
#### Configuration
The `CursorPagination` class includes a number of attributes that may be overridden to modify the pagination style.
To set these attributes you should override the `CursorPagination` class, and then enable your custom pagination class as above.
* `page_size` = A numeric value indicating the page size. If set, this overrides the `PAGE_SIZE` setting. Defaults to the same value as the `PAGE_SIZE` settings key.
* `cursor_query_param` = A string value indicating the name of the "cursor" query parameter. Defaults to `'cursor'`.
* `ordering` = This should be a string, or list of strings, indicating the field against which the cursor based pagination will be applied. For example: `ordering = 'slug'`. Defaults to `-created`. This value may also be overridden by using `OrderingFilter` on the view.
* `template` = The name of a template to use when rendering pagination controls in the browsable API. May be overridden to modify the rendering style, or set to `None` to disable HTML pagination controls completely. Defaults to `"rest_framework/pagination/previous_and_next.html"`.
---
# Custom pagination styles
To create a custom pagination serializer class, you should inherit the subclass `pagination.BasePagination`, override the `paginate_queryset(self, queryset, request, view=None)`, and `get_paginated_response(self, data)` methods:
* The `paginate_queryset` method is passed to the initial queryset and should return an iterable object. That object contains only the data in the requested page.
* The `get_paginated_response` method is passed to the serialized page data and should return a `Response` instance.
Note that the `paginate_queryset` method may set state on the pagination instance, that may later be used by the `get_paginated_response` method.
## Example
Suppose we want to replace the default pagination output style with a modified format that includes the next and previous links under in a nested 'links' key. We could specify a custom pagination class like so:
class CustomPagination(pagination.PageNumberPagination):
def get_paginated_response(self, data):
return Response({
'links': {
'next': self.get_next_link(),
'previous': self.get_previous_link()
},
'count': self.page.paginator.count,
'results': data
})
We'd then need to set up the custom class in our configuration:
REST_FRAMEWORK = {
'DEFAULT_PAGINATION_CLASS': 'my_project.apps.core.pagination.CustomPagination',
'PAGE_SIZE': 100
}
Note that if you care about how the ordering of keys is displayed in responses in the browsable API you might choose to use an `OrderedDict` when constructing the body of paginated responses, but this is optional.
## Using your custom pagination class
To have your custom pagination class be used by default, use the `DEFAULT_PAGINATION_CLASS` setting:
REST_FRAMEWORK = {
'DEFAULT_PAGINATION_CLASS': 'my_project.apps.core.pagination.LinkHeaderPagination',
'PAGE_SIZE': 100
}
API responses for list endpoints will now include a `Link` header, instead of including the pagination links as part of the body of the response, for example:
![Link Header][link-header]
*A custom pagination style, using the 'Link' header*
---
# HTML pagination controls
By default using the pagination classes will cause HTML pagination controls to be displayed in the browsable API. There are two built-in display styles. The `PageNumberPagination` and `LimitOffsetPagination` classes display a list of page numbers with previous and next controls. The `CursorPagination` class displays a simpler style that only displays a previous and next control.
## Customizing the controls
You can override the templates that render the HTML pagination controls. The two built-in styles are:
* `rest_framework/pagination/numbers.html`
* `rest_framework/pagination/previous_and_next.html`
Providing a template with either of these paths in a global template directory will override the default rendering for the relevant pagination classes.
Alternatively you can disable HTML pagination controls completely by subclassing on of the existing classes, setting `template = None` as an attribute on the class. You'll then need to configure your `DEFAULT_PAGINATION_CLASS` settings key to use your custom class as the default pagination style.
#### Low-level API
The low-level API for determining if a pagination class should display the controls or not is exposed as a `display_page_controls` attribute on the pagination instance. Custom pagination classes should be set to `True` in the `paginate_queryset` method if they require the HTML pagination controls to be displayed.
The `.to_html()` and `.get_html_context()` methods may also be overridden in a custom pagination class in order to further customize how the controls are rendered.
---
# Third party packages
The following third party packages are also available.
## DRF-extensions
The [`DRF-extensions` package][drf-extensions] includes a [`PaginateByMaxMixin` mixin class][paginate-by-max-mixin] that allows your API clients to specify `?page_size=max` to obtain the maximum allowed page size.
## drf-proxy-pagination
The [`drf-proxy-pagination` package][drf-proxy-pagination] includes a `ProxyPagination` class which allows to choose pagination class with a query parameter.
## link-header-pagination
The [`django-rest-framework-link-header-pagination` package][drf-link-header-pagination] includes a `LinkHeaderPagination` class which provides pagination via an HTTP `Link` header as described in [GitHub REST API documentation][github-traversing-with-pagination].
[cite]: https://docs.djangoproject.com/en/stable/topics/pagination/
[link-header]: ../img/link-header-pagination.png
[drf-extensions]: https://chibisov.github.io/drf-extensions/docs/
[paginate-by-max-mixin]: https://chibisov.github.io/drf-extensions/docs/#paginatebymaxmixin
[drf-proxy-pagination]: https://github.com/tuffnatty/drf-proxy-pagination
[drf-link-header-pagination]: https://github.com/tbeadle/django-rest-framework-link-header-pagination
[disqus-cursor-api]: https://cra.mr/2011/03/08/building-cursors-for-the-disqus-api
[float_cursor_pagination_example]: https://gist.github.com/keturn/8bc88525a183fd41c73ffb729b8865be#file-fpcursorpagination-py
[github-traversing-with-pagination]: https://docs.github.com/en/rest/guides/traversing-with-pagination
---
---
source:
- parsers.py
---
# Parsers
> Machine interacting web services tend to use more
structured formats for sending data than form-encoded, since they're
sending more complex data than simple forms
>
> — Malcom Tredinnick, [Django developers group][cite]
REST framework includes a number of built-in Parser classes, that allow you to accept requests with various media types. There is also support for defining your own custom parsers, which gives you the flexibility to design the media types that your API accepts.
## How the parser is determined
The set of valid parsers for a view is always defined as a list of classes. When `request.data` is accessed, REST framework will examine the `Content-Type` header on the incoming request, and determine which parser to use to parse the request content.
!!! note
When developing client applications always remember to make sure you're setting the `Content-Type` header when sending data in an HTTP request.
If you don't set the content type, most clients will default to using `'application/x-www-form-urlencoded'`, which may not be what you want.
As an example, if you are sending `json` encoded data using jQuery with the [.ajax() method][jquery-ajax], you should make sure to include the `contentType: 'application/json'` setting.
## Setting the parsers
The default set of parsers may be set globally, using the `DEFAULT_PARSER_CLASSES` setting. For example, the following settings would allow only requests with `JSON` content, instead of the default of JSON or form data.
REST_FRAMEWORK = {
'DEFAULT_PARSER_CLASSES': [
'rest_framework.parsers.JSONParser',
]
}
You can also set the parsers used for an individual view, or viewset,
using the `APIView` class-based views.
from rest_framework.parsers import JSONParser
from rest_framework.response import Response
from rest_framework.views import APIView
class ExampleView(APIView):
"""
A view that can accept POST requests with JSON content.
"""
parser_classes = [JSONParser]
def post(self, request, format=None):
return Response({'received data': request.data})
Or, if you're using the `@api_view` decorator with function based views.
from rest_framework.decorators import api_view
from rest_framework.decorators import parser_classes
from rest_framework.parsers import JSONParser
@api_view(['POST'])
@parser_classes([JSONParser])
def example_view(request, format=None):
"""
A view that can accept POST requests with JSON content.
"""
return Response({'received data': request.data})
---
# API Reference
## JSONParser
Parses `JSON` request content. `request.data` will be populated with a dictionary of data.
**.media_type**: `application/json`
## FormParser
Parses HTML form content. `request.data` will be populated with a `QueryDict` of data.
You will typically want to use both `FormParser` and `MultiPartParser` together in order to fully support HTML form data.
**.media_type**: `application/x-www-form-urlencoded`
## MultiPartParser
Parses multipart HTML form content, which supports file uploads. `request.data` and `request.FILES` will be populated with a `QueryDict` and `MultiValueDict` respectively.
You will typically want to use both `FormParser` and `MultiPartParser` together in order to fully support HTML form data.
**.media_type**: `multipart/form-data`
## FileUploadParser
Parses raw file upload content. The `request.data` property will be a dictionary with a single key `'file'` containing the uploaded file.
If the view used with `FileUploadParser` is called with a `filename` URL keyword argument, then that argument will be used as the filename.
If it is called without a `filename` URL keyword argument, then the client must set the filename in the `Content-Disposition` HTTP header. For example `Content-Disposition: attachment; filename=upload.jpg`.
**.media_type**: `*/*`
##### Notes:
* The `FileUploadParser` is for usage with native clients that can upload the file as a raw data request. For web-based uploads, or for native clients with multipart upload support, you should use the `MultiPartParser` instead.
* Since this parser's `media_type` matches any content type, `FileUploadParser` should generally be the only parser set on an API view.
* `FileUploadParser` respects Django's standard `FILE_UPLOAD_HANDLERS` setting, and the `request.upload_handlers` attribute. See the [Django documentation][upload-handlers] for more details.
##### Basic usage example:
# views.py
class FileUploadView(views.APIView):
parser_classes = [FileUploadParser]
def put(self, request, filename, format=None):
file_obj = request.data['file']
# ...
# do some stuff with uploaded file
# ...
return Response(status=204)
# urls.py
urlpatterns = [
# ...
re_path(r'^upload/(?P[^/]+)$', FileUploadView.as_view())
]
---
# Custom parsers
To implement a custom parser, you should override `BaseParser`, set the `.media_type` property, and implement the `.parse(self, stream, media_type, parser_context)` method.
The method should return the data that will be used to populate the `request.data` property.
The arguments passed to `.parse()` are:
### stream
A stream-like object representing the body of the request.
### media_type
Optional. If provided, this is the media type of the incoming request content.
Depending on the request's `Content-Type:` header, this may be more specific than the renderer's `media_type` attribute, and may include media type parameters. For example `"text/plain; charset=utf-8"`.
### parser_context
Optional. If supplied, this argument will be a dictionary containing any additional context that may be required to parse the request content.
By default this will include the following keys: `view`, `request`, `args`, `kwargs`.
## Example
The following is an example plaintext parser that will populate the `request.data` property with a string representing the body of the request.
class PlainTextParser(BaseParser):
"""
Plain text parser.
"""
media_type = 'text/plain'
def parse(self, stream, media_type=None, parser_context=None):
"""
Simply return a string representing the body of the request.
"""
return stream.read()
---
# Third party packages
The following third party packages are also available.
## YAML
[REST framework YAML][rest-framework-yaml] provides [YAML][yaml] parsing and rendering support. It was previously included directly in the REST framework package, and is now instead supported as a third-party package.
#### Installation & configuration
Install using pip.
$ pip install djangorestframework-yaml
Modify your REST framework settings.
REST_FRAMEWORK = {
'DEFAULT_PARSER_CLASSES': [
'rest_framework_yaml.parsers.YAMLParser',
],
'DEFAULT_RENDERER_CLASSES': [
'rest_framework_yaml.renderers.YAMLRenderer',
],
}
## XML
[REST Framework XML][rest-framework-xml] provides a simple informal XML format. It was previously included directly in the REST framework package, and is now instead supported as a third-party package.
#### Installation & configuration
Install using pip.
$ pip install djangorestframework-xml
Modify your REST framework settings.
REST_FRAMEWORK = {
'DEFAULT_PARSER_CLASSES': [
'rest_framework_xml.parsers.XMLParser',
],
'DEFAULT_RENDERER_CLASSES': [
'rest_framework_xml.renderers.XMLRenderer',
],
}
## MessagePack
[MessagePack][messagepack] is a fast, efficient binary serialization format. [Juan Riaza][juanriaza] maintains the [djangorestframework-msgpack][djangorestframework-msgpack] package which provides MessagePack renderer and parser support for REST framework.
## CamelCase JSON
[djangorestframework-camel-case] provides camel case JSON renderers and parsers for REST framework. This allows serializers to use Python-style underscored field names, but be exposed in the API as Javascript-style camel case field names. It is maintained by [Vitaly Babiy][vbabiy].
[jquery-ajax]: https://api.jquery.com/jQuery.ajax/
[cite]: https://groups.google.com/d/topic/django-developers/dxI4qVzrBY4/discussion
[upload-handlers]: https://docs.djangoproject.com/en/stable/topics/http/file-uploads/#upload-handlers
[rest-framework-yaml]: https://jpadilla.github.io/django-rest-framework-yaml/
[rest-framework-xml]: https://jpadilla.github.io/django-rest-framework-xml/
[yaml]: http://www.yaml.org/
[messagepack]: https://github.com/juanriaza/django-rest-framework-msgpack
[juanriaza]: https://github.com/juanriaza
[vbabiy]: https://github.com/vbabiy
[djangorestframework-msgpack]: https://github.com/juanriaza/django-rest-framework-msgpack
[djangorestframework-camel-case]: https://github.com/vbabiy/djangorestframework-camel-case
---
---
source:
- permissions.py
---
# Permissions
> Authentication or identification by itself is not usually sufficient to gain access to information or code. For that, the entity requesting access must have authorization.
>
> — [Apple Developer Documentation][cite]
Together with [authentication] and [throttling], permissions determine whether a request should be granted or denied access.
Permission checks are always run at the very start of the view, before any other code is allowed to proceed. Permission checks will typically use the authentication information in the `request.user` and `request.auth` properties to determine if the incoming request should be permitted.
Permissions are used to grant or deny access for different classes of users to different parts of the API.
The simplest style of permission would be to allow access to any authenticated user, and deny access to any unauthenticated user. This corresponds to the `IsAuthenticated` class in REST framework.
A slightly less strict style of permission would be to allow full access to authenticated users, but allow read-only access to unauthenticated users. This corresponds to the `IsAuthenticatedOrReadOnly` class in REST framework.
## How permissions are determined
Permissions in REST framework are always defined as a list of permission classes.
Before running the main body of the view each permission in the list is checked.
If any permission check fails, an `exceptions.PermissionDenied` or `exceptions.NotAuthenticated` exception will be raised, and the main body of the view will not run.
When the permission checks fail, either a "403 Forbidden" or a "401 Unauthorized" response will be returned, according to the following rules:
* The request was successfully authenticated, but permission was denied. *— An HTTP 403 Forbidden response will be returned.*
* The request was not successfully authenticated, and the highest priority authentication class *does not* use `WWW-Authenticate` headers. *— An HTTP 403 Forbidden response will be returned.*
* The request was not successfully authenticated, and the highest priority authentication class *does* use `WWW-Authenticate` headers. *— An HTTP 401 Unauthorized response, with an appropriate `WWW-Authenticate` header will be returned.*
## Object level permissions
REST framework permissions also support object-level permissioning. Object level permissions are used to determine if a user should be allowed to act on a particular object, which will typically be a model instance.
Object level permissions are run by REST framework's generic views when `.get_object()` is called.
As with view level permissions, an `exceptions.PermissionDenied` exception will be raised if the user is not allowed to act on the given object.
If you're writing your own views and want to enforce object level permissions,
or if you override the `get_object` method on a generic view, then you'll need to explicitly call the `.check_object_permissions(request, obj)` method on the view at the point at which you've retrieved the object.
This will either raise a `PermissionDenied` or `NotAuthenticated` exception, or simply return if the view has the appropriate permissions.
For example:
def get_object(self):
obj = get_object_or_404(self.get_queryset(), pk=self.kwargs["pk"])
self.check_object_permissions(self.request, obj)
return obj
!!! note
With the exception of `DjangoObjectPermissions`, the provided
permission classes in `rest_framework.permissions` **do not** implement the
methods necessary to check object permissions.
If you wish to use the provided permission classes in order to check object
permissions, **you must** subclass them and implement the
`has_object_permission()` method described in the [_Custom
permissions_](#custom-permissions) section (below).
#### Limitations of object level permissions
For performance reasons the generic views will not automatically apply object level permissions to each instance in a queryset when returning a list of objects.
Often when you're using object level permissions you'll also want to [filter the queryset][filtering] appropriately, to ensure that users only have visibility onto instances that they are permitted to view.
Because the `get_object()` method is not called, object level permissions from the `has_object_permission()` method **are not applied** when creating objects. In order to restrict object creation you need to implement the permission check either in your Serializer class or override the `perform_create()` method of your ViewSet class.
## Setting the permission policy
The default permission policy may be set globally, using the `DEFAULT_PERMISSION_CLASSES` setting. For example.
REST_FRAMEWORK = {
'DEFAULT_PERMISSION_CLASSES': [
'rest_framework.permissions.IsAuthenticated',
]
}
If not specified, this setting defaults to allowing unrestricted access:
'DEFAULT_PERMISSION_CLASSES': [
'rest_framework.permissions.AllowAny',
]
You can also set the authentication policy on a per-view, or per-viewset basis,
using the `APIView` class-based views.
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework.views import APIView
class ExampleView(APIView):
permission_classes = [IsAuthenticated]
def get(self, request, format=None):
content = {
'status': 'request was permitted'
}
return Response(content)
Or, if you're using the `@api_view` decorator with function based views.
from rest_framework.decorators import api_view, permission_classes
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
@api_view(['GET'])
@permission_classes([IsAuthenticated])
def example_view(request, format=None):
content = {
'status': 'request was permitted'
}
return Response(content)
!!! note
When you set new permission classes via the class attribute or decorators you're telling the view to ignore the default list set in the ``settings.py`` file.
Provided they inherit from `rest_framework.permissions.BasePermission`, permissions can be composed using standard Python bitwise operators. For example, `IsAuthenticatedOrReadOnly` could be written:
from rest_framework.permissions import BasePermission, IsAuthenticated, SAFE_METHODS
from rest_framework.response import Response
from rest_framework.views import APIView
class ReadOnly(BasePermission):
def has_permission(self, request, view):
return request.method in SAFE_METHODS
class ExampleView(APIView):
permission_classes = [IsAuthenticated | ReadOnly]
def get(self, request, format=None):
content = {
'status': 'request was permitted'
}
return Response(content)
!!! note
Composition of permissions supports `&` (and), `|` (or) and `~` (not) operators.
# API Reference
## AllowAny
The `AllowAny` permission class will allow unrestricted access, **regardless of if the request was authenticated or unauthenticated**.
This permission is not strictly required, since you can achieve the same result by using an empty list or tuple for the permissions setting, but you may find it useful to specify this class because it makes the intention explicit.
## IsAuthenticated
The `IsAuthenticated` permission class will deny permission to any unauthenticated user, and allow permission otherwise.
This permission is suitable if you want your API to only be accessible to registered users.
## IsAdminUser
The `IsAdminUser` permission class will deny permission to any user, unless `user.is_staff` is `True` in which case permission will be allowed.
This permission is suitable if you want your API to only be accessible to a subset of trusted administrators.
## IsAuthenticatedOrReadOnly
The `IsAuthenticatedOrReadOnly` will allow authenticated users to perform any request. Requests for unauthenticated users will only be permitted if the request method is one of the "safe" methods; `GET`, `HEAD` or `OPTIONS`.
This permission is suitable if you want to your API to allow read permissions to anonymous users, and only allow write permissions to authenticated users.
## DjangoModelPermissions
This permission class ties into Django's standard `django.contrib.auth` [model permissions][contribauth]. This permission must only be applied to views that have a `.queryset` property or `get_queryset()` method. Authorization will only be granted if the user *is authenticated* and has the *relevant model permissions* assigned. The appropriate model is determined by checking `get_queryset().model` or `queryset.model`.
* `POST` requests require the user to have the `add` permission on the model.
* `PUT` and `PATCH` requests require the user to have the `change` permission on the model.
* `DELETE` requests require the user to have the `delete` permission on the model.
The default behavior can also be overridden to support custom model permissions. For example, you might want to include a `view` model permission for `GET` requests.
To use custom model permissions, override `DjangoModelPermissions` and set the `.perms_map` property. Refer to the source code for details.
## DjangoModelPermissionsOrAnonReadOnly
Similar to `DjangoModelPermissions`, but also allows unauthenticated users to have read-only access to the API.
## DjangoObjectPermissions
This permission class ties into Django's standard [object permissions framework][objectpermissions] that allows per-object permissions on models. In order to use this permission class, you'll also need to add a permission backend that supports object-level permissions, such as [django-guardian][guardian].
As with `DjangoModelPermissions`, this permission must only be applied to views that have a `.queryset` property or `.get_queryset()` method. Authorization will only be granted if the user *is authenticated* and has the *relevant per-object permissions* and *relevant model permissions* assigned.
* `POST` requests require the user to have the `add` permission on the model instance.
* `PUT` and `PATCH` requests require the user to have the `change` permission on the model instance.
* `DELETE` requests require the user to have the `delete` permission on the model instance.
Note that `DjangoObjectPermissions` **does not** require the `django-guardian` package, and should support other object-level backends equally well.
As with `DjangoModelPermissions` you can use custom model permissions by overriding `DjangoObjectPermissions` and setting the `.perms_map` property. Refer to the source code for details.
!!! note
If you need object level `view` permissions for `GET`, `HEAD` and `OPTIONS` requests and are using django-guardian for your object-level permissions backend, you'll want to consider using the `DjangoObjectPermissionsFilter` class provided by the [`djangorestframework-guardian` package][django-rest-framework-guardian]. It ensures that list endpoints only return results including objects for which the user has appropriate view permissions.
# Custom permissions
To implement a custom permission, override `BasePermission` and implement either, or both, of the following methods:
* `.has_permission(self, request, view)`
* `.has_object_permission(self, request, view, obj)`
The methods should return `True` if the request should be granted access, and `False` otherwise.
If you need to test if a request is a read operation or a write operation, you should check the request method against the constant `SAFE_METHODS`, which is a tuple containing `'GET'`, `'OPTIONS'` and `'HEAD'`. For example:
if request.method in permissions.SAFE_METHODS:
# Check permissions for read-only request
else:
# Check permissions for write request
!!! note
The instance-level `has_object_permission` method will only be called if the view-level `has_permission` checks have already passed. Also note that in order for the instance-level checks to run, the view code should explicitly call `.check_object_permissions(request, obj)`. If you are using the generic views then this will be handled for you by default. (Function-based views will need to check object permissions explicitly, raising `PermissionDenied` on failure.)
Custom permissions will raise a `PermissionDenied` exception if the test fails. To change the error message associated with the exception, implement a `message` attribute directly on your custom permission. Otherwise the `default_detail` attribute from `PermissionDenied` will be used. Similarly, to change the code identifier associated with the exception, implement a `code` attribute directly on your custom permission - otherwise the `default_code` attribute from `PermissionDenied` will be used.
from rest_framework import permissions
class CustomerAccessPermission(permissions.BasePermission):
message = 'Adding customers not allowed.'
def has_permission(self, request, view):
...
## Examples
The following is an example of a permission class that checks the incoming request's IP address against a blocklist, and denies the request if the IP has been blocked.
from rest_framework import permissions
class BlocklistPermission(permissions.BasePermission):
"""
Global permission check for blocked IPs.
"""
def has_permission(self, request, view):
ip_addr = request.META['REMOTE_ADDR']
blocked = Blocklist.objects.filter(ip_addr=ip_addr).exists()
return not blocked
As well as global permissions, that are run against all incoming requests, you can also create object-level permissions, that are only run against operations that affect a particular object instance. For example:
class IsOwnerOrReadOnly(permissions.BasePermission):
"""
Object-level permission to only allow owners of an object to edit it.
Assumes the model instance has an `owner` attribute.
"""
def has_object_permission(self, request, view, obj):
# Read permissions are allowed to any request,
# so we'll always allow GET, HEAD or OPTIONS requests.
if request.method in permissions.SAFE_METHODS:
return True
# Instance must have an attribute named `owner`.
return obj.owner == request.user
Note that the generic views will check the appropriate object level permissions, but if you're writing your own custom views, you'll need to make sure you check the object level permission checks yourself. You can do so by calling `self.check_object_permissions(request, obj)` from the view once you have the object instance. This call will raise an appropriate `APIException` if any object-level permission checks fail, and will otherwise simply return.
Also note that the generic views will only check the object-level permissions for views that retrieve a single model instance. If you require object-level filtering of list views, you'll need to filter the queryset separately. See the [filtering documentation][filtering] for more details.
# Overview of access restriction methods
REST framework offers three different methods to customize access restrictions on a case-by-case basis. These apply in different scenarios and have different effects and limitations.
* `queryset`/`get_queryset()`: Limits the general visibility of existing objects from the database. The queryset limits which objects will be listed and which objects can be modified or deleted. The `get_queryset()` method can apply different querysets based on the current action.
* `permission_classes`/`get_permissions()`: General permission checks based on the current action, request and targeted object. Object level permissions can only be applied to retrieve, modify and deletion actions. Permission checks for list and create will be applied to the entire object type. (In case of list: subject to restrictions in the queryset.)
* `serializer_class`/`get_serializer()`: Instance level restrictions that apply to all objects on input and output. The serializer may have access to the request context. The `get_serializer()` method can apply different serializers based on the current action.
The following table lists the access restriction methods and the level of control they offer over which actions.
| | `queryset` | `permission_classes` | `serializer_class` |
|------------------------------------|------------|----------------------|--------------------|
| Action: list | global | global | object-level* |
| Action: create | no | global | object-level |
| Action: retrieve | global | object-level | object-level |
| Action: update | global | object-level | object-level |
| Action: partial_update | global | object-level | object-level |
| Action: destroy | global | object-level | no |
| Can reference action in decision | no** | yes | no** |
| Can reference request in decision | no** | yes | yes |
\* A Serializer class should not raise PermissionDenied in a list action, or the entire list would not be returned.
\** The `get_*()` methods have access to the current view and can return different Serializer or QuerySet instances based on the request or action.
---
# Third party packages
The following third party packages are also available.
## DRF - Access Policy
The [Django REST - Access Policy][drf-access-policy] package provides a way to define complex access rules in declarative policy classes that are attached to view sets or function-based views. The policies are defined in JSON in a format similar to AWS' Identity & Access Management policies.
## Composed Permissions
The [Composed Permissions][composed-permissions] package provides a simple way to define complex and multi-depth (with logic operators) permission objects, using small and reusable components.
## REST Condition
The [REST Condition][rest-condition] package is another extension for building complex permissions in a simple and convenient way. The extension allows you to combine permissions with logical operators.
## DRY Rest Permissions
The [DRY Rest Permissions][dry-rest-permissions] package provides the ability to define different permissions for individual default and custom actions. This package is made for apps with permissions that are derived from relationships defined in the app's data model. It also supports permission checks being returned to a client app through the API's serializer. Additionally it supports adding permissions to the default and custom list actions to restrict the data they retrieve per user.
## Django Rest Framework Roles
The [Django Rest Framework Roles][django-rest-framework-roles] package makes it easier to parameterize your API over multiple types of users.
## Rest Framework Roles
The [Rest Framework Roles][rest-framework-roles] makes it super easy to protect views based on roles. Most importantly allows you to decouple accessibility logic from models and views in a clean human-readable way.
## Django REST Framework API Key
The [Django REST Framework API Key][djangorestframework-api-key] package provides permissions classes, models and helpers to add API key authorization to your API. It can be used to authorize internal or third-party backends and services (i.e. _machines_) which do not have a user account. API keys are stored securely using Django's password hashing infrastructure, and they can be viewed, edited and revoked at anytime in the Django admin.
## Django Rest Framework Role Filters
The [Django Rest Framework Role Filters][django-rest-framework-role-filters] package provides simple filtering over multiple types of roles.
## Django Rest Framework PSQ
The [Django Rest Framework PSQ][drf-psq] package is an extension that gives support for having action-based **permission_classes**, **serializer_class**, and **queryset** dependent on permission-based rules.
## Axioms DRF PY
The [Axioms DRF PY][axioms-drf-py] package is an extension that provides support for authentication and claim-based fine-grained authorization (**scopes**, **roles**, **groups**, **permissions**, etc. including object-level checks) using JWT tokens issued by an OAuth2/OIDC Authorization Server including AWS Cognito, Auth0, Okta, Microsoft Entra, etc.
[cite]: https://developer.apple.com/library/mac/#documentation/security/Conceptual/AuthenticationAndAuthorizationGuide/Authorization/Authorization.html
[authentication]: authentication.md
[throttling]: throttling.md
[filtering]: filtering.md
[contribauth]: https://docs.djangoproject.com/en/stable/topics/auth/customizing/#custom-permissions
[objectpermissions]: https://docs.djangoproject.com/en/stable/topics/auth/customizing/#handling-object-permissions
[guardian]: https://github.com/lukaszb/django-guardian
[filtering]: filtering.md
[composed-permissions]: https://github.com/niwibe/djangorestframework-composed-permissions
[rest-condition]: https://github.com/caxap/rest_condition
[dry-rest-permissions]: https://github.com/FJNR-inc/dry-rest-permissions
[django-rest-framework-roles]: https://github.com/computer-lab/django-rest-framework-roles
[rest-framework-roles]: https://github.com/Pithikos/rest-framework-roles
[djangorestframework-api-key]: https://florimondmanca.github.io/djangorestframework-api-key/
[django-rest-framework-role-filters]: https://github.com/allisson/django-rest-framework-role-filters
[django-rest-framework-guardian]: https://github.com/rpkilby/django-rest-framework-guardian
[drf-access-policy]: https://github.com/rsinger86/drf-access-policy
[drf-psq]: https://github.com/drf-psq/drf-psq
[axioms-drf-py]: https://github.com/abhishektiwari/axioms-drf-py
---
---
source:
- relations.py
---
# Serializer relations
> Data structures, not algorithms, are central to programming.
>
> — [Rob Pike][cite]
Relational fields are used to represent model relationships. They can be applied to `ForeignKey`, `ManyToManyField` and `OneToOneField` relationships, as well as to reverse relationships, and custom relationships such as `GenericForeignKey`.
!!! note
The relational fields are declared in `relations.py`, but by convention you should import them from the `serializers` module, using `from rest_framework import serializers` and refer to fields as `serializers.`.
!!! note
REST Framework does not attempt to automatically optimize querysets passed to serializers in terms of `select_related` and `prefetch_related` since it would be too much magic. A serializer with a field spanning an ORM relation through its source attribute could require an additional database hit to fetch related objects from the database. It is the programmer's responsibility to optimize queries to avoid additional database hits which could occur while using such a serializer.
For example, the following serializer would lead to a database hit each time evaluating the tracks field if it is not prefetched:
class AlbumSerializer(serializers.ModelSerializer):
tracks = serializers.SlugRelatedField(
many=True,
read_only=True,
slug_field='title'
)
class Meta:
model = Album
fields = ['album_name', 'artist', 'tracks']
# For each album object, tracks should be fetched from database
qs = Album.objects.all()
print(AlbumSerializer(qs, many=True).data)
If `AlbumSerializer` is used to serialize a fairly large queryset with `many=True` then it could be a serious performance problem. Optimizing the queryset passed to `AlbumSerializer` with:
qs = Album.objects.prefetch_related('tracks')
# No additional database hits required
print(AlbumSerializer(qs, many=True).data)
would solve the issue.
#### Inspecting relationships.
When using the `ModelSerializer` class, serializer fields and relationships will be automatically generated for you. Inspecting these automatically generated fields can be a useful tool for determining how to customize the relationship style.
To do so, open the Django shell, using `python manage.py shell`, then import the serializer class, instantiate it, and print the object representation…
>>> from myapp.serializers import AccountSerializer
>>> serializer = AccountSerializer()
>>> print(repr(serializer))
AccountSerializer():
id = IntegerField(label='ID', read_only=True)
name = CharField(allow_blank=True, max_length=100, required=False)
owner = PrimaryKeyRelatedField(queryset=User.objects.all())
# API Reference
In order to explain the various types of relational fields, we'll use a couple of simple models for our examples. Our models will be for music albums, and the tracks listed on each album.
class Album(models.Model):
album_name = models.CharField(max_length=100)
artist = models.CharField(max_length=100)
class Track(models.Model):
album = models.ForeignKey(Album, related_name='tracks', on_delete=models.CASCADE)
order = models.IntegerField()
title = models.CharField(max_length=100)
duration = models.IntegerField()
class Meta:
unique_together = ['album', 'order']
ordering = ['order']
def __str__(self):
return '%d: %s' % (self.order, self.title)
## StringRelatedField
`StringRelatedField` may be used to represent the target of the relationship using its `__str__` method.
For example, the following serializer:
class AlbumSerializer(serializers.ModelSerializer):
tracks = serializers.StringRelatedField(many=True)
class Meta:
model = Album
fields = ['album_name', 'artist', 'tracks']
Would serialize to the following representation:
{
'album_name': 'Things We Lost In The Fire',
'artist': 'Low',
'tracks': [
'1: Sunflower',
'2: Whitetail',
'3: Dinosaur Act',
...
]
}
This field is read only.
**Arguments**:
* `many` - If applied to a to-many relationship, you should set this argument to `True`.
## PrimaryKeyRelatedField
`PrimaryKeyRelatedField` may be used to represent the target of the relationship using its primary key.
For example, the following serializer:
class AlbumSerializer(serializers.ModelSerializer):
tracks = serializers.PrimaryKeyRelatedField(many=True, read_only=True)
class Meta:
model = Album
fields = ['album_name', 'artist', 'tracks']
Would serialize to a representation like this:
{
'album_name': 'Undun',
'artist': 'The Roots',
'tracks': [
89,
90,
91,
...
]
}
By default this field is read-write, although you can change this behavior using the `read_only` flag.
**Arguments**:
* `queryset` - The queryset used for model instance lookups when validating the field input. Relationships must either set a queryset explicitly, or set `read_only=True`.
* `many` - If applied to a to-many relationship, you should set this argument to `True`.
* `allow_null` - If set to `True`, the field will accept values of `None` or the empty string for nullable relationships. Defaults to `False`.
* `pk_field` - Set to a field to control serialization/deserialization of the primary key's value. For example, `pk_field=UUIDField(format='hex')` would serialize a UUID primary key into its compact hex representation.
## HyperlinkedRelatedField
`HyperlinkedRelatedField` may be used to represent the target of the relationship using a hyperlink.
For example, the following serializer:
class AlbumSerializer(serializers.ModelSerializer):
tracks = serializers.HyperlinkedRelatedField(
many=True,
read_only=True,
view_name='track-detail'
)
class Meta:
model = Album
fields = ['album_name', 'artist', 'tracks']
Would serialize to a representation like this:
{
'album_name': 'Graceland',
'artist': 'Paul Simon',
'tracks': [
'http://www.example.com/api/tracks/45/',
'http://www.example.com/api/tracks/46/',
'http://www.example.com/api/tracks/47/',
...
]
}
By default this field is read-write, although you can change this behavior using the `read_only` flag.
!!! note
This field is designed for objects that map to a URL that accepts a single URL keyword argument, as set using the `lookup_field` and `lookup_url_kwarg` arguments.
This is suitable for URLs that contain a single primary key or slug argument as part of the URL.
If you require more complex hyperlinked representation you'll need to customize the field, as described in the [custom hyperlinked fields](#custom-hyperlinked-fields) section, below.
**Arguments**:
* `view_name` - The view name that should be used as the target of the relationship. If you're using [the standard router classes][routers] this will be a string with the format `-detail`. **required**.
* `queryset` - The queryset used for model instance lookups when validating the field input. Relationships must either set a queryset explicitly, or set `read_only=True`.
* `many` - If applied to a to-many relationship, you should set this argument to `True`.
* `allow_null` - If set to `True`, the field will accept values of `None` or the empty string for nullable relationships. Defaults to `False`.
* `lookup_field` - The field on the target that should be used for the lookup. Should correspond to a URL keyword argument on the referenced view. Default is `'pk'`.
* `lookup_url_kwarg` - The name of the keyword argument defined in the URL conf that corresponds to the lookup field. Defaults to using the same value as `lookup_field`.
* `format` - If using format suffixes, hyperlinked fields will use the same format suffix for the target unless overridden by using the `format` argument.
## SlugRelatedField
`SlugRelatedField` may be used to represent the target of the relationship using a field on the target.
For example, the following serializer:
class AlbumSerializer(serializers.ModelSerializer):
tracks = serializers.SlugRelatedField(
many=True,
read_only=True,
slug_field='title'
)
class Meta:
model = Album
fields = ['album_name', 'artist', 'tracks']
Would serialize to a representation like this:
{
'album_name': 'Dear John',
'artist': 'Loney Dear',
'tracks': [
'Airport Surroundings',
'Everything Turns to You',
'I Was Only Going Out',
...
]
}
By default this field is read-write, although you can change this behavior using the `read_only` flag.
When using `SlugRelatedField` as a read-write field, you will normally want to ensure that the slug field corresponds to a model field with `unique=True`.
**Arguments**:
* `slug_field` - The field on the target that should be used to represent it. This should be a field that uniquely identifies any given instance. For example, `username`. **required**
* `queryset` - The queryset used for model instance lookups when validating the field input. Relationships must either set a queryset explicitly, or set `read_only=True`.
* `many` - If applied to a to-many relationship, you should set this argument to `True`.
* `allow_null` - If set to `True`, the field will accept values of `None` or the empty string for nullable relationships. Defaults to `False`.
## HyperlinkedIdentityField
This field can be applied as an identity relationship, such as the `'url'` field on a HyperlinkedModelSerializer. It can also be used for an attribute on the object. For example, the following serializer:
class AlbumSerializer(serializers.HyperlinkedModelSerializer):
track_listing = serializers.HyperlinkedIdentityField(view_name='track-list')
class Meta:
model = Album
fields = ['album_name', 'artist', 'track_listing']
Would serialize to a representation like this:
{
'album_name': 'The Eraser',
'artist': 'Thom Yorke',
'track_listing': 'http://www.example.com/api/track_list/12/',
}
This field is always read-only.
**Arguments**:
* `view_name` - The view name that should be used as the target of the relationship. If you're using [the standard router classes][routers] this will be a string with the format `-detail`. **required**.
* `lookup_field` - The field on the target that should be used for the lookup. Should correspond to a URL keyword argument on the referenced view. Default is `'pk'`.
* `lookup_url_kwarg` - The name of the keyword argument defined in the URL conf that corresponds to the lookup field. Defaults to using the same value as `lookup_field`.
* `format` - If using format suffixes, hyperlinked fields will use the same format suffix for the target unless overridden by using the `format` argument.
---
# Nested relationships
As opposed to previously discussed _references_ to another entity, the referred entity can instead also be embedded or _nested_
in the representation of the object that refers to it.
Such nested relationships can be expressed by using serializers as fields.
If the field is used to represent a to-many relationship, you should add the `many=True` flag to the serializer field.
## Example
For example, the following serializer:
class TrackSerializer(serializers.ModelSerializer):
class Meta:
model = Track
fields = ['order', 'title', 'duration']
class AlbumSerializer(serializers.ModelSerializer):
tracks = TrackSerializer(many=True, read_only=True)
class Meta:
model = Album
fields = ['album_name', 'artist', 'tracks']
Would serialize to a nested representation like this:
>>> album = Album.objects.create(album_name="The Gray Album", artist='Danger Mouse')
>>> Track.objects.create(album=album, order=1, title='Public Service Announcement', duration=245)
>>> Track.objects.create(album=album, order=2, title='What More Can I Say', duration=264)
>>> Track.objects.create(album=album, order=3, title='Encore', duration=159)
>>> serializer = AlbumSerializer(instance=album)
>>> serializer.data
{
'album_name': 'The Gray Album',
'artist': 'Danger Mouse',
'tracks': [
{'order': 1, 'title': 'Public Service Announcement', 'duration': 245},
{'order': 2, 'title': 'What More Can I Say', 'duration': 264},
{'order': 3, 'title': 'Encore', 'duration': 159},
...
],
}
## Writable nested serializers
By default nested serializers are read-only. If you want to support write-operations to a nested serializer field you'll need to create `create()` and/or `update()` methods in order to explicitly specify how the child relationships should be saved:
class TrackSerializer(serializers.ModelSerializer):
class Meta:
model = Track
fields = ['order', 'title', 'duration']
class AlbumSerializer(serializers.ModelSerializer):
tracks = TrackSerializer(many=True)
class Meta:
model = Album
fields = ['album_name', 'artist', 'tracks']
def create(self, validated_data):
tracks_data = validated_data.pop('tracks')
album = Album.objects.create(**validated_data)
for track_data in tracks_data:
Track.objects.create(album=album, **track_data)
return album
>>> data = {
'album_name': 'The Gray Album',
'artist': 'Danger Mouse',
'tracks': [
{'order': 1, 'title': 'Public Service Announcement', 'duration': 245},
{'order': 2, 'title': 'What More Can I Say', 'duration': 264},
{'order': 3, 'title': 'Encore', 'duration': 159},
],
}
>>> serializer = AlbumSerializer(data=data)
>>> serializer.is_valid()
True
>>> serializer.save()
---
# Custom relational fields
In rare cases where none of the existing relational styles fit the representation you need,
you can implement a completely custom relational field, that describes exactly how the
output representation should be generated from the model instance.
To implement a custom relational field, you should override `RelatedField`, and implement the `.to_representation(self, value)` method. This method takes the target of the field as the `value` argument, and should return the representation that should be used to serialize the target. The `value` argument will typically be a model instance.
If you want to implement a read-write relational field, you must also implement the [`.to_internal_value(self, data)` method][to_internal_value].
To provide a dynamic queryset based on the `context`, you can also override `.get_queryset(self)` instead of specifying `.queryset` on the class or when initializing the field.
## Example
For example, we could define a relational field to serialize a track to a custom string representation, using its ordering, title, and duration:
import time
class TrackListingField(serializers.RelatedField):
def to_representation(self, value):
duration = time.strftime('%M:%S', time.gmtime(value.duration))
return 'Track %d: %s (%s)' % (value.order, value.name, duration)
class AlbumSerializer(serializers.ModelSerializer):
tracks = TrackListingField(many=True)
class Meta:
model = Album
fields = ['album_name', 'artist', 'tracks']
This custom field would then serialize to the following representation:
{
'album_name': 'Sometimes I Wish We Were an Eagle',
'artist': 'Bill Callahan',
'tracks': [
'Track 1: Jim Cain (04:39)',
'Track 2: Eid Ma Clack Shaw (04:19)',
'Track 3: The Wind and the Dove (04:34)',
...
]
}
---
# Custom hyperlinked fields
In some cases you may need to customize the behavior of a hyperlinked field, in order to represent URLs that require more than a single lookup field.
You can achieve this by overriding `HyperlinkedRelatedField`. There are two methods that may be overridden:
**get_url(self, obj, view_name, request, format)**
The `get_url` method is used to map the object instance to its URL representation.
May raise a `NoReverseMatch` if the `view_name` and `lookup_field`
attributes are not configured to correctly match the URL conf.
**get_object(self, view_name, view_args, view_kwargs)**
If you want to support a writable hyperlinked field then you'll also want to override `get_object`, in order to map incoming URLs back to the object they represent. For read-only hyperlinked fields there is no need to override this method.
The return value of this method should the object that corresponds to the matched URL conf arguments.
May raise an `ObjectDoesNotExist` exception.
## Example
Say we have a URL for a customer object that takes two keyword arguments, like so:
/api//customers//
This cannot be represented with the default implementation, which accepts only a single lookup field.
In this case we'd need to override `HyperlinkedRelatedField` to get the behavior we want:
from rest_framework import serializers
from rest_framework.reverse import reverse
class CustomerHyperlink(serializers.HyperlinkedRelatedField):
# We define these as class attributes, so we don't need to pass them as arguments.
view_name = 'customer-detail'
queryset = Customer.objects.all()
def get_url(self, obj, view_name, request, format):
url_kwargs = {
'organization_slug': obj.organization.slug,
'customer_pk': obj.pk
}
return reverse(view_name, kwargs=url_kwargs, request=request, format=format)
def get_object(self, view_name, view_args, view_kwargs):
lookup_kwargs = {
'organization__slug': view_kwargs['organization_slug'],
'pk': view_kwargs['customer_pk']
}
return self.get_queryset().get(**lookup_kwargs)
Note that if you wanted to use this style together with the generic views then you'd also need to override `.get_object` on the view in order to get the correct lookup behavior.
Generally we recommend a flat style for API representations where possible, but the nested URL style can also be reasonable when used in moderation.
---
# Further notes
## The `queryset` argument
The `queryset` argument is only ever required for *writable* relationship field, in which case it is used for performing the model instance lookup, that maps from the primitive user input, into a model instance.
In version 2.x a serializer class could *sometimes* automatically determine the `queryset` argument *if* a `ModelSerializer` class was being used.
This behavior is now replaced with *always* using an explicit `queryset` argument for writable relational fields.
Doing so reduces the amount of hidden 'magic' that `ModelSerializer` provides, makes the behavior of the field more clear, and ensures that it is trivial to move between using the `ModelSerializer` shortcut, or using fully explicit `Serializer` classes.
## Customizing the HTML display
The built-in `__str__` method of the model will be used to generate string representations of the objects used to populate the `choices` property. These choices are used to populate select HTML inputs in the browsable API.
To provide customized representations for such inputs, override `display_value()` of a `RelatedField` subclass. This method will receive a model object, and should return a string suitable for representing it. For example:
class TrackPrimaryKeyRelatedField(serializers.PrimaryKeyRelatedField):
def display_value(self, instance):
return 'Track: %s' % (instance.title)
## Select field cutoffs
When rendered in the browsable API relational fields will default to only displaying a maximum of 1000 selectable items. If more items are present then a disabled option with "More than 1000 items…" will be displayed.
This behavior is intended to prevent a template from being unable to render in an acceptable timespan due to a very large number of relationships being displayed.
There are two keyword arguments you can use to control this behavior:
* `html_cutoff` - If set this will be the maximum number of choices that will be displayed by a HTML select drop down. Set to `None` to disable any limiting. Defaults to `1000`.
* `html_cutoff_text` - If set this will display a textual indicator if the maximum number of items have been cutoff in an HTML select drop down. Defaults to `"More than {count} items…"`
You can also control these globally using the settings `HTML_SELECT_CUTOFF` and `HTML_SELECT_CUTOFF_TEXT`.
In cases where the cutoff is being enforced you may want to instead use a plain input field in the HTML form. You can do so using the `style` keyword argument. For example:
assigned_to = serializers.SlugRelatedField(
queryset=User.objects.all(),
slug_field='username',
style={'base_template': 'input.html'}
)
## Reverse relations
Note that reverse relationships are not automatically included by the `ModelSerializer` and `HyperlinkedModelSerializer` classes. To include a reverse relationship, you must explicitly add it to the fields list. For example:
class AlbumSerializer(serializers.ModelSerializer):
class Meta:
fields = ['tracks', ...]
You'll normally want to ensure that you've set an appropriate `related_name` argument on the relationship, that you can use as the field name. For example:
class Track(models.Model):
album = models.ForeignKey(Album, related_name='tracks', on_delete=models.CASCADE)
...
If you have not set a related name for the reverse relationship, you'll need to use the automatically generated related name in the `fields` argument. For example:
class AlbumSerializer(serializers.ModelSerializer):
class Meta:
fields = ['track_set', ...]
See the Django documentation on [reverse relationships][reverse-relationships] for more details.
## Generic relationships
If you want to serialize a generic foreign key, you need to define a custom field, to determine explicitly how you want to serialize the targets of the relationship.
For example, given the following model for a tag, which has a generic relationship with other arbitrary models:
class TaggedItem(models.Model):
"""
Tags arbitrary model instances using a generic relation.
See: https://docs.djangoproject.com/en/stable/ref/contrib/contenttypes/
"""
tag_name = models.SlugField()
content_type = models.ForeignKey(ContentType, on_delete=models.CASCADE)
object_id = models.PositiveIntegerField()
tagged_object = GenericForeignKey('content_type', 'object_id')
def __str__(self):
return self.tag_name
And the following two models, which may have associated tags:
class Bookmark(models.Model):
"""
A bookmark consists of a URL, and 0 or more descriptive tags.
"""
url = models.URLField()
tags = GenericRelation(TaggedItem)
class Note(models.Model):
"""
A note consists of some text, and 0 or more descriptive tags.
"""
text = models.CharField(max_length=1000)
tags = GenericRelation(TaggedItem)
We could define a custom field that could be used to serialize tagged instances, using the type of each instance to determine how it should be serialized:
class TaggedObjectRelatedField(serializers.RelatedField):
"""
A custom field to use for the `tagged_object` generic relationship.
"""
def to_representation(self, value):
"""
Serialize tagged objects to a simple textual representation.
"""
if isinstance(value, Bookmark):
return 'Bookmark: ' + value.url
elif isinstance(value, Note):
return 'Note: ' + value.text
raise Exception('Unexpected type of tagged object')
If you need the target of the relationship to have a nested representation, you can use the required serializers inside the `.to_representation()` method:
def to_representation(self, value):
"""
Serialize bookmark instances using a bookmark serializer,
and note instances using a note serializer.
"""
if isinstance(value, Bookmark):
serializer = BookmarkSerializer(value)
elif isinstance(value, Note):
serializer = NoteSerializer(value)
else:
raise Exception('Unexpected type of tagged object')
return serializer.data
Note that reverse generic keys, expressed using the `GenericRelation` field, can be serialized using the regular relational field types, since the type of the target in the relationship is always known.
For more information see [the Django documentation on generic relations][generic-relations].
## ManyToManyFields with a Through Model
By default, relational fields that target a ``ManyToManyField`` with a
``through`` model specified are set to read-only.
If you explicitly specify a relational field pointing to a
``ManyToManyField`` with a through model, be sure to set ``read_only``
to ``True``.
If you wish to represent [extra fields on a through model][django-intermediary-manytomany] then you may serialize the through model as [a nested object][dealing-with-nested-objects].
---
# Third Party Packages
The following third party packages are also available.
## DRF Nested Routers
The [drf-nested-routers package][drf-nested-routers] provides routers and relationship fields for working with nested resources.
## Rest Framework Generic Relations
The [rest-framework-generic-relations][drf-nested-relations] library provides read/write serialization for generic foreign keys.
The [rest-framework-gm2m-relations][drf-gm2m-relations] library provides read/write serialization for [django-gm2m][django-gm2m-field].
[cite]: http://users.ece.utexas.edu/~adnan/pike.html
[reverse-relationships]: https://docs.djangoproject.com/en/stable/topics/db/queries/#following-relationships-backward
[routers]: https://www.django-rest-framework.org/api-guide/routers#defaultrouter
[generic-relations]: https://docs.djangoproject.com/en/stable/ref/contrib/contenttypes/#id1
[drf-nested-routers]: https://github.com/alanjds/drf-nested-routers
[drf-nested-relations]: https://github.com/Ian-Foote/rest-framework-generic-relations
[drf-gm2m-relations]: https://github.com/mojtabaakbari221b/rest-framework-gm2m-relations
[django-gm2m-field]: https://github.com/tkhyn/django-gm2m
[django-intermediary-manytomany]: https://docs.djangoproject.com/en/stable/topics/db/models/#intermediary-manytomany
[dealing-with-nested-objects]: https://www.django-rest-framework.org/api-guide/serializers/#dealing-with-nested-objects
[to_internal_value]: https://www.django-rest-framework.org/api-guide/serializers/#to_internal_valueself-data
---
---
source:
- renderers.py
---
# Renderers
> Before a TemplateResponse instance can be returned to the client, it must be rendered. The rendering process takes the intermediate representation of template and context, and turns it into the final byte stream that can be served to the client.
>
> — [Django documentation][cite]
REST framework includes a number of built in Renderer classes, that allow you to return responses with various media types. There is also support for defining your own custom renderers, which gives you the flexibility to design your own media types.
## How the renderer is determined
The set of valid renderers for a view is always defined as a list of classes. When a view is entered REST framework will perform content negotiation on the incoming request, and determine the most appropriate renderer to satisfy the request.
The basic process of content negotiation involves examining the request's `Accept` header, to determine which media types it expects in the response. Optionally, format suffixes on the URL may be used to explicitly request a particular representation. For example the URL `http://example.com/api/users_count.json` might be an endpoint that always returns JSON data.
For more information see the documentation on [content negotiation][conneg].
## Setting the renderers
The default set of renderers may be set globally, using the `DEFAULT_RENDERER_CLASSES` setting. For example, the following settings would use `JSON` as the main media type and also include the self describing API.
REST_FRAMEWORK = {
'DEFAULT_RENDERER_CLASSES': [
'rest_framework.renderers.JSONRenderer',
'rest_framework.renderers.BrowsableAPIRenderer',
]
}
You can also set the renderers used for an individual view, or viewset,
using the `APIView` class-based views.
from django.contrib.auth.models import User
from rest_framework.renderers import JSONRenderer
from rest_framework.response import Response
from rest_framework.views import APIView
class UserCountView(APIView):
"""
A view that returns the count of active users in JSON.
"""
renderer_classes = [JSONRenderer]
def get(self, request, format=None):
user_count = User.objects.filter(active=True).count()
content = {'user_count': user_count}
return Response(content)
Or, if you're using the `@api_view` decorator with function based views.
@api_view(['GET'])
@renderer_classes([JSONRenderer])
def user_count_view(request, format=None):
"""
A view that returns the count of active users in JSON.
"""
user_count = User.objects.filter(active=True).count()
content = {'user_count': user_count}
return Response(content)
## Ordering of renderer classes
It's important when specifying the renderer classes for your API to think about what priority you want to assign to each media type. If a client underspecifies the representations it can accept, such as sending an `Accept: */*` header, or not including an `Accept` header at all, then REST framework will select the first renderer in the list to use for the response.
For example if your API serves JSON responses and the HTML browsable API, you might want to make `JSONRenderer` your default renderer, in order to send `JSON` responses to clients that do not specify an `Accept` header.
If your API includes views that can serve both regular webpages and API responses depending on the request, then you might consider making `TemplateHTMLRenderer` your default renderer, in order to play nicely with older browsers that send [broken accept headers][browser-accept-headers].
---
# API Reference
## JSONRenderer
Renders the request data into `JSON`, using utf-8 encoding.
Note that the default style is to include unicode characters, and render the response using a compact style with no unnecessary whitespace:
{"unicode black star":"★","value":999}
The client may additionally include an `'indent'` media type parameter, in which case the returned `JSON` will be indented. For example `Accept: application/json; indent=4`.
{
"unicode black star": "★",
"value": 999
}
The default JSON encoding style can be altered using the `UNICODE_JSON` and `COMPACT_JSON` settings keys.
**.media_type**: `application/json`
**.format**: `'json'`
**.charset**: `None`
## TemplateHTMLRenderer
Renders data to HTML, using Django's standard template rendering.
Unlike other renderers, the data passed to the `Response` does not need to be serialized. Also, unlike other renderers, you may want to include a `template_name` argument when creating the `Response`.
The TemplateHTMLRenderer will create a `RequestContext`, using the `response.data` as the context dict, and determine a template name to use to render the context.
!!! note
When used with a view that makes use of a serializer the `Response` sent for rendering may not be a dictionary and will need to be wrapped in a dict before returning to allow the `TemplateHTMLRenderer` to render it. For example:
response.data = {'results': response.data}
The template name is determined by (in order of preference):
1. An explicit `template_name` argument passed to the response.
2. An explicit `.template_name` attribute set on this class.
3. The return result of calling `view.get_template_names()`.
An example of a view that uses `TemplateHTMLRenderer`:
class UserDetail(generics.RetrieveAPIView):
"""
A view that returns a templated HTML representation of a given user.
"""
queryset = User.objects.all()
renderer_classes = [TemplateHTMLRenderer]
def get(self, request, *args, **kwargs):
self.object = self.get_object()
return Response({'user': self.object}, template_name='user_detail.html')
You can use `TemplateHTMLRenderer` either to return regular HTML pages using REST framework, or to return both HTML and API responses from a single endpoint.
If you're building websites that use `TemplateHTMLRenderer` along with other renderer classes, you should consider listing `TemplateHTMLRenderer` as the first class in the `renderer_classes` list, so that it will be prioritized first even for browsers that send poorly formed `ACCEPT:` headers.
See the [_HTML & Forms_ Topic Page][html-and-forms] for further examples of `TemplateHTMLRenderer` usage.
**.media_type**: `text/html`
**.format**: `'html'`
**.charset**: `utf-8`
See also: `StaticHTMLRenderer`
## StaticHTMLRenderer
A simple renderer that simply returns pre-rendered HTML. Unlike other renderers, the data passed to the response object should be a string representing the content to be returned.
An example of a view that uses `StaticHTMLRenderer`:
@api_view(['GET'])
@renderer_classes([StaticHTMLRenderer])
def simple_html_view(request):
data = '
Hello, world
'
return Response(data)
You can use `StaticHTMLRenderer` either to return regular HTML pages using REST framework, or to return both HTML and API responses from a single endpoint.
**.media_type**: `text/html`
**.format**: `'html'`
**.charset**: `utf-8`
See also: `TemplateHTMLRenderer`
## BrowsableAPIRenderer
Renders data into HTML for the Browsable API:

This renderer will determine which other renderer would have been given highest priority, and use that to display an API style response within the HTML page.
**.media_type**: `text/html`
**.format**: `'api'`
**.charset**: `utf-8`
**.template**: `'rest_framework/api.html'`
#### Customizing BrowsableAPIRenderer
By default the response content will be rendered with the highest priority renderer apart from `BrowsableAPIRenderer`. If you need to customize this behavior, for example to use HTML as the default return format, but use JSON in the browsable API, you can do so by overriding the `get_default_renderer()` method. For example:
class CustomBrowsableAPIRenderer(BrowsableAPIRenderer):
def get_default_renderer(self, view):
return JSONRenderer()
## AdminRenderer
Renders data into HTML for an admin-like display:

This renderer is suitable for CRUD-style web APIs that should also present a user-friendly interface for managing the data.
Note that views that have nested or list serializers for their input won't work well with the `AdminRenderer`, as the HTML forms are unable to properly support them.
!!! note
The `AdminRenderer` is only able to include links to detail pages when a properly configured `URL_FIELD_NAME` (`url` by default) attribute is present in the data. For `HyperlinkedModelSerializer` this will be the case, but for `ModelSerializer` or plain `Serializer` classes you'll need to make sure to include the field explicitly.
For example here we use models `get_absolute_url` method:
class AccountSerializer(serializers.ModelSerializer):
url = serializers.CharField(source='get_absolute_url', read_only=True)
class Meta:
model = Account
**.media_type**: `text/html`
**.format**: `'admin'`
**.charset**: `utf-8`
**.template**: `'rest_framework/admin.html'`
## HTMLFormRenderer
Renders data returned by a serializer into an HTML form. The output of this renderer does not include the enclosing `
For more information see the [HTML & Forms][html-and-forms] documentation.
**.media_type**: `text/html`
**.format**: `'form'`
**.charset**: `utf-8`
**.template**: `'rest_framework/horizontal/form.html'`
## MultiPartRenderer
This renderer is used for rendering HTML multipart form data. **It is not suitable as a response renderer**, but is instead used for creating test requests, using REST framework's [test client and test request factory][testing].
**.media_type**: `multipart/form-data; boundary=BoUnDaRyStRiNg`
**.format**: `'multipart'`
**.charset**: `utf-8`
---
# Custom renderers
To implement a custom renderer, you should override `BaseRenderer`, set the `.media_type` and `.format` properties, and implement the `.render(self, data, accepted_media_type=None, renderer_context=None)` method.
The method should return a bytestring, which will be used as the body of the HTTP response.
The arguments passed to the `.render()` method are:
### `data`
The request data, as set by the `Response()` instantiation.
### `accepted_media_type=None`
Optional. If provided, this is the accepted media type, as determined by the content negotiation stage.
Depending on the client's `Accept:` header, this may be more specific than the renderer's `media_type` attribute, and may include media type parameters. For example `"application/json; nested=true"`.
### `renderer_context=None`
Optional. If provided, this is a dictionary of contextual information provided by the view.
By default this will include the following keys: `view`, `request`, `response`, `args`, `kwargs`.
## Example
The following is an example plaintext renderer that will return a response with the `data` parameter as the content of the response.
from django.utils.encoding import smart_str
from rest_framework import renderers
class PlainTextRenderer(renderers.BaseRenderer):
media_type = 'text/plain'
format = 'txt'
def render(self, data, accepted_media_type=None, renderer_context=None):
return smart_str(data, encoding=self.charset)
## Setting the character set
By default renderer classes are assumed to be using the `UTF-8` encoding. To use a different encoding, set the `charset` attribute on the renderer.
class PlainTextRenderer(renderers.BaseRenderer):
media_type = 'text/plain'
format = 'txt'
charset = 'iso-8859-1'
def render(self, data, accepted_media_type=None, renderer_context=None):
return data.encode(self.charset)
Note that if a renderer class returns a unicode string, then the response content will be coerced into a bytestring by the `Response` class, with the `charset` attribute set on the renderer used to determine the encoding.
If the renderer returns a bytestring representing raw binary content, you should set a charset value of `None`, which will ensure the `Content-Type` header of the response will not have a `charset` value set.
In some cases you may also want to set the `render_style` attribute to `'binary'`. Doing so will also ensure that the browsable API will not attempt to display the binary content as a string.
class JPEGRenderer(renderers.BaseRenderer):
media_type = 'image/jpeg'
format = 'jpg'
charset = None
render_style = 'binary'
def render(self, data, accepted_media_type=None, renderer_context=None):
return data
---
# Advanced renderer usage
You can do some pretty flexible things using REST framework's renderers. Some examples...
* Provide either flat or nested representations from the same endpoint, depending on the requested media type.
* Serve both regular HTML webpages, and JSON based API responses from the same endpoints.
* Specify multiple types of HTML representation for API clients to use.
* Underspecify a renderer's media type, such as using `media_type = 'image/*'`, and use the `Accept` header to vary the encoding of the response.
## Varying behavior by media type
In some cases you might want your view to use different serialization styles depending on the accepted media type. If you need to do this you can access `request.accepted_renderer` to determine the negotiated renderer that will be used for the response.
For example:
@api_view(['GET'])
@renderer_classes([TemplateHTMLRenderer, JSONRenderer])
def list_users(request):
"""
A view that can return JSON or HTML representations
of the users in the system.
"""
queryset = Users.objects.filter(active=True)
if request.accepted_renderer.format == 'html':
# TemplateHTMLRenderer takes a context dict,
# and additionally requires a 'template_name'.
# It does not require serialization.
data = {'users': queryset}
return Response(data, template_name='list_users.html')
# JSONRenderer requires serialized data as normal.
serializer = UserSerializer(instance=queryset)
data = serializer.data
return Response(data)
## Underspecifying the media type
In some cases you might want a renderer to serve a range of media types.
In this case you can underspecify the media types it should respond to, by using a `media_type` value such as `image/*`, or `*/*`.
If you underspecify the renderer's media type, you should make sure to specify the media type explicitly when you return the response, using the `content_type` attribute. For example:
return Response(data, content_type='image/png')
## Designing your media types
For the purposes of many Web APIs, simple `JSON` responses with hyperlinked relations may be sufficient. If you want to fully embrace RESTful design and [HATEOAS] you'll need to consider the design and usage of your media types in more detail.
In [the words of Roy Fielding][quote], "A REST API should spend almost all of its descriptive effort in defining the media type(s) used for representing resources and driving application state, or in defining extended relation names and/or hypertext-enabled mark-up for existing standard media types.".
For good examples of custom media types, see GitHub's use of a custom [application/vnd.github+json] media type, and Mike Amundsen's IANA approved [application/vnd.collection+json] JSON-based hypermedia.
## HTML error views
Typically a renderer will behave the same regardless of if it's dealing with a regular response, or with a response caused by an exception being raised, such as an `Http404` or `PermissionDenied` exception, or a subclass of `APIException`.
If you're using either the `TemplateHTMLRenderer` or the `StaticHTMLRenderer` and an exception is raised, the behavior is slightly different, and mirrors [Django's default handling of error views][django-error-views].
Exceptions raised and handled by an HTML renderer will attempt to render using one of the following methods, by order of precedence.
* Load and render a template named `{status_code}.html`.
* Load and render a template named `api_exception.html`.
* Render the HTTP status code and text, for example "404 Not Found".
Templates will render with a `RequestContext` which includes the `status_code` and `details` keys.
!!! note
If `DEBUG=True`, Django's standard traceback error page will be displayed instead of rendering the HTTP status code and text.
# Third party packages
The following third party packages are also available.
## YAML
[REST framework YAML][rest-framework-yaml] provides [YAML][yaml] parsing and rendering support. It was previously included directly in the REST framework package, and is now instead supported as a third-party package.
#### Installation & configuration
Install using pip.
$ pip install djangorestframework-yaml
Modify your REST framework settings.
REST_FRAMEWORK = {
'DEFAULT_PARSER_CLASSES': [
'rest_framework_yaml.parsers.YAMLParser',
],
'DEFAULT_RENDERER_CLASSES': [
'rest_framework_yaml.renderers.YAMLRenderer',
],
}
## XML
[REST Framework XML][rest-framework-xml] provides a simple informal XML format. It was previously included directly in the REST framework package, and is now instead supported as a third-party package.
#### Installation & configuration
Install using pip.
$ pip install djangorestframework-xml
Modify your REST framework settings.
REST_FRAMEWORK = {
'DEFAULT_PARSER_CLASSES': [
'rest_framework_xml.parsers.XMLParser',
],
'DEFAULT_RENDERER_CLASSES': [
'rest_framework_xml.renderers.XMLRenderer',
],
}
## JSONP
[REST framework JSONP][rest-framework-jsonp] provides JSONP rendering support. It was previously included directly in the REST framework package, and is now instead supported as a third-party package.
!!! warning
If you require cross-domain AJAX requests, you should generally be using the more modern approach of [CORS][cors] as an alternative to `JSONP`. See the [CORS documentation][cors-docs] for more details.
The `jsonp` approach is essentially a browser hack, and is [only appropriate for globally readable API endpoints][jsonp-security], where `GET` requests are unauthenticated and do not require any user permissions.
#### Installation & configuration
Install using pip.
$ pip install djangorestframework-jsonp
Modify your REST framework settings.
REST_FRAMEWORK = {
'DEFAULT_RENDERER_CLASSES': [
'rest_framework_jsonp.renderers.JSONPRenderer',
],
}
## MessagePack
[MessagePack][messagepack] is a fast, efficient binary serialization format. [Juan Riaza][juanriaza] maintains the [djangorestframework-msgpack][djangorestframework-msgpack] package which provides MessagePack renderer and parser support for REST framework.
## Microsoft Excel: XLSX (Binary Spreadsheet Endpoints)
XLSX is the world's most popular binary spreadsheet format. [Tim Allen][flipperpa] of [The Wharton School][wharton] maintains [drf-excel][drf-excel], which renders an endpoint as an XLSX spreadsheet using OpenPyXL, and allows the client to download it. Spreadsheets can be styled on a per-view basis.
#### Installation & configuration
Install using pip.
$ pip install drf-excel
Modify your REST framework settings.
REST_FRAMEWORK = {
...
'DEFAULT_RENDERER_CLASSES': [
'rest_framework.renderers.JSONRenderer',
'rest_framework.renderers.BrowsableAPIRenderer',
'drf_excel.renderers.XLSXRenderer',
],
}
To avoid having a file streamed without a filename (which the browser will often default to the filename "download", with no extension), we need to use a mixin to override the `Content-Disposition` header. If no filename is provided, it will default to `export.xlsx`. For example:
from rest_framework.viewsets import ReadOnlyModelViewSet
from drf_excel.mixins import XLSXFileMixin
from drf_excel.renderers import XLSXRenderer
from .models import MyExampleModel
from .serializers import MyExampleSerializer
class MyExampleViewSet(XLSXFileMixin, ReadOnlyModelViewSet):
queryset = MyExampleModel.objects.all()
serializer_class = MyExampleSerializer
renderer_classes = [XLSXRenderer]
filename = 'my_export.xlsx'
## CSV
Comma-separated values are a plain-text tabular data format, that can be easily imported into spreadsheet applications. [Mjumbe Poe][mjumbewu] maintains the [djangorestframework-csv][djangorestframework-csv] package which provides CSV renderer support for REST framework.
## UltraJSON
[UltraJSON][ultrajson] is an optimized C JSON encoder which can give significantly faster JSON rendering. [Adam Mertz][Amertz08] maintains [drf_ujson2][drf_ujson2], a fork of the now unmaintained [drf-ujson-renderer][drf-ujson-renderer], which implements JSON rendering using the UJSON package.
## CamelCase JSON
[djangorestframework-camel-case] provides camel case JSON renderers and parsers for REST framework. This allows serializers to use Python-style underscored field names, but be exposed in the API as Javascript-style camel case field names. It is maintained by [Vitaly Babiy][vbabiy].
## Pandas (CSV, Excel, PNG)
[Django REST Pandas] provides a serializer and renderers that support additional data processing and output via the [Pandas] DataFrame API. Django REST Pandas includes renderers for Pandas-style CSV files, Excel workbooks (both `.xls` and `.xlsx`), and a number of [other formats]. It is maintained by [S. Andrew Sheppard][sheppard] as part of the [wq Project][wq].
## LaTeX
[Rest Framework Latex] provides a renderer that outputs PDFs using Lualatex. It is maintained by [Pebble (S/F Software)][mypebble].
[cite]: https://docs.djangoproject.com/en/stable/ref/template-response/#the-rendering-process
[conneg]: content-negotiation.md
[html-and-forms]: ../topics/html-and-forms.md
[browser-accept-headers]: http://www.gethifi.com/blog/browser-rest-http-accept-headers
[testing]: testing.md
[HATEOAS]: http://timelessrepo.com/haters-gonna-hateoas
[quote]: https://roy.gbiv.com/untangled/2008/rest-apis-must-be-hypertext-driven
[application/vnd.github+json]: https://developer.github.com/v3/media/
[application/vnd.collection+json]: http://www.amundsen.com/media-types/collection/
[django-error-views]: https://docs.djangoproject.com/en/stable/topics/http/views/#customizing-error-views
[rest-framework-jsonp]: https://jpadilla.github.io/django-rest-framework-jsonp/
[cors]: https://www.w3.org/TR/cors/
[cors-docs]: https://www.django-rest-framework.org/topics/ajax-csrf-cors/
[jsonp-security]: https://stackoverflow.com/questions/613962/is-jsonp-safe-to-use
[rest-framework-yaml]: https://jpadilla.github.io/django-rest-framework-yaml/
[rest-framework-xml]: https://jpadilla.github.io/django-rest-framework-xml/
[messagepack]: https://msgpack.org/
[juanriaza]: https://github.com/juanriaza
[mjumbewu]: https://github.com/mjumbewu
[flipperpa]: https://github.com/flipperpa
[wharton]: https://github.com/wharton
[drf-excel]: https://github.com/wharton/drf-excel
[vbabiy]: https://github.com/vbabiy
[rest-framework-yaml]: https://jpadilla.github.io/django-rest-framework-yaml/
[rest-framework-xml]: https://jpadilla.github.io/django-rest-framework-xml/
[yaml]: http://www.yaml.org/
[djangorestframework-msgpack]: https://github.com/juanriaza/django-rest-framework-msgpack
[djangorestframework-csv]: https://github.com/mjumbewu/django-rest-framework-csv
[ultrajson]: https://github.com/esnme/ultrajson
[Amertz08]: https://github.com/Amertz08
[drf-ujson-renderer]: https://github.com/gizmag/drf-ujson-renderer
[drf_ujson2]: https://github.com/Amertz08/drf_ujson2
[djangorestframework-camel-case]: https://github.com/vbabiy/djangorestframework-camel-case
[Django REST Pandas]: https://github.com/wq/django-rest-pandas
[Pandas]: https://pandas.pydata.org/
[other formats]: https://github.com/wq/django-rest-pandas#supported-formats
[sheppard]: https://github.com/sheppard
[wq]: https://github.com/wq
[mypebble]: https://github.com/mypebble
[Rest Framework Latex]: https://github.com/mypebble/rest-framework-latex
---
---
source:
- request.py
---
# Requests
> If you're doing REST-based web service stuff ... you should ignore request.POST.
>
> — Malcom Tredinnick, [Django developers group][cite]
REST framework's `Request` class extends the standard `HttpRequest`, adding support for REST framework's flexible request parsing and request authentication.
---
# Request parsing
REST framework's Request objects provide flexible request parsing that allows you to treat requests with JSON data or other media types in the same way that you would normally deal with form data.
## .data
`request.data` returns the parsed content of the request body. This is similar to the standard `request.POST` and `request.FILES` attributes except that:
* It includes all parsed content, including *file and non-file* inputs.
* It supports parsing the content of HTTP methods other than `POST`, meaning that you can access the content of `PUT` and `PATCH` requests.
* It supports REST framework's flexible request parsing, rather than just supporting form data. For example you can handle incoming [JSON data] similarly to how you handle incoming [form data].
For more details see the [parsers documentation].
## .query_params
`request.query_params` is a more correctly named synonym for `request.GET`.
For clarity inside your code, we recommend using `request.query_params` instead of the Django's standard `request.GET`. Doing so will help keep your codebase more correct and obvious - any HTTP method type may include query parameters, not just `GET` requests.
## .parsers
The `APIView` class or `@api_view` decorator will ensure that this property is automatically set to a list of `Parser` instances, based on the `parser_classes` set on the view or based on the `DEFAULT_PARSER_CLASSES` setting.
You won't typically need to access this property.
!!! note
If a client sends malformed content, then accessing `request.data` may raise a `ParseError`. By default REST framework's `APIView` class or `@api_view` decorator will catch the error and return a `400 Bad Request` response.
If a client sends a request with a content-type that cannot be parsed then a `UnsupportedMediaType` exception will be raised, which by default will be caught and return a `415 Unsupported Media Type` response.
# Content negotiation
The request exposes some properties that allow you to determine the result of the content negotiation stage. This allows you to implement behavior such as selecting a different serialization schemes for different media types.
## .accepted_renderer
The renderer instance that was selected by the content negotiation stage.
## .accepted_media_type
A string representing the media type that was accepted by the content negotiation stage.
---
# Authentication
REST framework provides flexible, per-request authentication, that gives you the ability to:
* Use different authentication policies for different parts of your API.
* Support the use of multiple authentication policies.
* Provide both user and token information associated with the incoming request.
## .user
`request.user` typically returns an instance of `django.contrib.auth.models.User`, although the behavior depends on the authentication policy being used.
If the request is unauthenticated the default value of `request.user` is an instance of `django.contrib.auth.models.AnonymousUser`.
For more details see the [authentication documentation].
## .auth
`request.auth` returns any additional authentication context. The exact behavior of `request.auth` depends on the authentication policy being used, but it may typically be an instance of the token that the request was authenticated against.
If the request is unauthenticated, or if no additional context is present, the default value of `request.auth` is `None`.
For more details see the [authentication documentation].
## .authenticators
The `APIView` class or `@api_view` decorator will ensure that this property is automatically set to a list of `Authentication` instances, based on the `authentication_classes` set on the view or based on the `DEFAULT_AUTHENTICATORS` setting.
You won't typically need to access this property.
!!! note
You may see a `WrappedAttributeError` raised when calling the `.user` or `.auth` properties. These errors originate from an authenticator as a standard `AttributeError`, however it's necessary that they be re-raised as a different exception type in order to prevent them from being suppressed by the outer property access. Python will not recognize that the `AttributeError` originates from the authenticator and will instead assume that the request object does not have a `.user` or `.auth` property. The authenticator will need to be fixed.
# Browser enhancements
REST framework supports a few browser enhancements such as browser-based `PUT`, `PATCH` and `DELETE` forms.
## .method
`request.method` returns the **uppercased** string representation of the request's HTTP method.
Browser-based `PUT`, `PATCH` and `DELETE` forms are transparently supported.
For more information see the [browser enhancements documentation].
## .content_type
`request.content_type`, returns a string object representing the media type of the HTTP request's body, or an empty string if no media type was provided.
You won't typically need to directly access the request's content type, as you'll normally rely on REST framework's default request parsing behavior.
If you do need to access the content type of the request you should use the `.content_type` property in preference to using `request.META.get('HTTP_CONTENT_TYPE')`, as it provides transparent support for browser-based non-form content.
For more information see the [browser enhancements documentation].
## .stream
`request.stream` returns a stream representing the content of the request body.
You won't typically need to directly access the request's content, as you'll normally rely on REST framework's default request parsing behavior.
---
# Standard HttpRequest attributes
As REST framework's `Request` extends Django's `HttpRequest`, all the other standard attributes and methods are also available. For example the `request.META` and `request.session` dictionaries are available as normal.
Note that due to implementation reasons the `Request` class does not inherit from `HttpRequest` class, but instead extends the class using composition.
[cite]: https://groups.google.com/d/topic/django-developers/dxI4qVzrBY4/discussion
[parsers documentation]: parsers.md
[JSON data]: parsers.md#jsonparser
[form data]: parsers.md#formparser
[authentication documentation]: authentication.md
[browser enhancements documentation]: ../topics/browser-enhancements.md
---
---
source:
- response.py
---
# Responses
> Unlike basic HttpResponse objects, TemplateResponse objects retain the details of the context that was provided by the view to compute the response. The final output of the response is not computed until it is needed, later in the response process.
>
> — [Django documentation][cite]
REST framework supports HTTP content negotiation by providing a `Response` class which allows you to return content that can be rendered into multiple content types, depending on the client request.
The `Response` class subclasses Django's `SimpleTemplateResponse`. `Response` objects are initialized with data, which should consist of native Python primitives. REST framework then uses standard HTTP content negotiation to determine how it should render the final response content.
There's no requirement for you to use the `Response` class, you can also return regular `HttpResponse` or `StreamingHttpResponse` objects from your views if required. Using the `Response` class simply provides a nicer interface for returning content-negotiated Web API responses, that can be rendered to multiple formats.
Unless you want to heavily customize REST framework for some reason, you should always use an `APIView` class or `@api_view` function for views that return `Response` objects. Doing so ensures that the view can perform content negotiation and select the appropriate renderer for the response, before it is returned from the view.
---
# Creating responses
## Response()
**Signature:** `Response(data, status=None, template_name=None, headers=None, content_type=None)`
Unlike regular `HttpResponse` objects, you do not instantiate `Response` objects with rendered content. Instead you pass in unrendered data, which may consist of any Python primitives.
The renderers used by the `Response` class cannot natively handle complex datatypes such as Django model instances, so you need to serialize the data into primitive datatypes before creating the `Response` object.
You can use REST framework's `Serializer` classes to perform this data serialization, or use your own custom serialization.
Arguments:
* `data`: The serialized data for the response.
* `status`: A status code for the response. Defaults to 200. See also [status codes][statuscodes].
* `template_name`: A template name to use if `HTMLRenderer` is selected.
* `headers`: A dictionary of HTTP headers to use in the response.
* `content_type`: The content type of the response. Typically, this will be set automatically by the renderer as determined by content negotiation, but there may be some cases where you need to specify the content type explicitly.
---
# Attributes
## .data
The unrendered, serialized data of the response.
## .status_code
The numeric status code of the HTTP response.
## .content
The rendered content of the response. The `.render()` method must have been called before `.content` can be accessed.
## .template_name
The `template_name`, if supplied. Only required if `HTMLRenderer` or some other custom template renderer is the accepted renderer for the response.
## .accepted_renderer
The renderer instance that will be used to render the response.
Set automatically by the `APIView` or `@api_view` immediately before the response is returned from the view.
## .accepted_media_type
The media type that was selected by the content negotiation stage.
Set automatically by the `APIView` or `@api_view` immediately before the response is returned from the view.
## .renderer_context
A dictionary of additional context information that will be passed to the renderer's `.render()` method.
Set automatically by the `APIView` or `@api_view` immediately before the response is returned from the view.
---
# Standard HttpResponse attributes
The `Response` class extends `SimpleTemplateResponse`, and all the usual attributes and methods are also available on the response. For example you can set headers on the response in the standard way:
response = Response()
response['Cache-Control'] = 'no-cache'
## .render()
**Signature:** `.render()`
As with any other `TemplateResponse`, this method is called to render the serialized data of the response into the final response content. When `.render()` is called, the response content will be set to the result of calling the `.render(data, accepted_media_type, renderer_context)` method on the `accepted_renderer` instance.
You won't typically need to call `.render()` yourself, as it's handled by Django's standard response cycle.
[cite]: https://docs.djangoproject.com/en/stable/ref/template-response/
[statuscodes]: status-codes.md
---
---
source:
- reverse.py
---
# Returning URLs
> The central feature that distinguishes the REST architectural style from other network-based styles is its emphasis on a uniform interface between components.
>
> — Roy Fielding, [Architectural Styles and the Design of Network-based Software Architectures][cite]
As a rule, it's probably better practice to return absolute URIs from your Web APIs, such as `http://example.com/foobar`, rather than returning relative URIs, such as `/foobar`.
The advantages of doing so are:
* It's more explicit.
* It leaves less work for your API clients.
* There's no ambiguity about the meaning of the string when it's found in representations such as JSON that do not have a native URI type.
* It makes it easy to do things like markup HTML representations with hyperlinks.
REST framework provides two utility functions to make it more simple to return absolute URIs from your Web API.
There's no requirement for you to use them, but if you do then the self-describing API will be able to automatically hyperlink its output for you, which makes browsing the API much easier.
## reverse
**Signature:** `reverse(viewname, *args, **kwargs)`
Has the same behavior as [`django.urls.reverse`][reverse], except that it returns a fully qualified URL, using the request to determine the host and port.
You should **include the request as a keyword argument** to the function, for example:
from rest_framework.reverse import reverse
from rest_framework.views import APIView
from django.utils.timezone import now
class APIRootView(APIView):
def get(self, request):
year = now().year
data = {
...
'year-summary-url': reverse('year-summary', args=[year], request=request)
}
return Response(data)
## reverse_lazy
**Signature:** `reverse_lazy(viewname, *args, **kwargs)`
Has the same behavior as [`django.urls.reverse_lazy`][reverse-lazy], except that it returns a fully qualified URL, using the request to determine the host and port.
As with the `reverse` function, you should **include the request as a keyword argument** to the function, for example:
api_root = reverse_lazy('api-root', request=request)
[cite]: https://www.ics.uci.edu/~fielding/pubs/dissertation/rest_arch_style.htm#sec_5_1_5
[reverse]: https://docs.djangoproject.com/en/stable/ref/urlresolvers/#reverse
[reverse-lazy]: https://docs.djangoproject.com/en/stable/ref/urlresolvers/#reverse-lazy
---
---
source:
- routers.py
---
# Routers
> Resource routing allows you to quickly declare all of the common routes for a given resourceful controller. Instead of declaring separate routes for your index... a resourceful route declares them in a single line of code.
>
> — [Ruby on Rails Documentation][cite]
Some Web frameworks such as Rails provide functionality for automatically determining how the URLs for an application should be mapped to the logic that deals with handling incoming requests.
REST framework adds support for automatic URL routing to Django, and provides you with a simple, quick and consistent way of wiring your view logic to a set of URLs.
## Usage
Here's an example of a simple URL conf, that uses `SimpleRouter`.
from rest_framework import routers
router = routers.SimpleRouter()
router.register(r'users', UserViewSet)
router.register(r'accounts', AccountViewSet)
urlpatterns = router.urls
There are two mandatory arguments to the `register()` method:
* `prefix` - The URL prefix to use for this set of routes.
* `viewset` - The viewset class.
Optionally, you may also specify an additional argument:
* `basename` - The base to use for the URL names that are created. If unset the basename will be automatically generated based on the `queryset` attribute of the viewset, if it has one. Note that if the viewset does not include a `queryset` attribute then you must set `basename` when registering the viewset.
The example above would generate the following URL patterns:
* URL pattern: `^users/$` Name: `'user-list'`
* URL pattern: `^users/{pk}/$` Name: `'user-detail'`
* URL pattern: `^accounts/$` Name: `'account-list'`
* URL pattern: `^accounts/{pk}/$` Name: `'account-detail'`
!!! note
The `basename` argument is used to specify the initial part of the view name pattern. In the example above, that's the `user` or `account` part.
Typically you won't *need* to specify the `basename` argument, but if you have a viewset where you've defined a custom `get_queryset` method, then the viewset may not have a `.queryset` attribute set. If you try to register that viewset you'll see an error like this:
'basename' argument not specified, and could not automatically determine the name from the viewset, as it does not have a '.queryset' attribute.
This means you'll need to explicitly set the `basename` argument when registering the viewset, as it could not be automatically determined from the model name.
### Using `include` with routers
The `.urls` attribute on a router instance is simply a standard list of URL patterns. There are a number of different styles for how you can include these URLs.
For example, you can append `router.urls` to a list of existing views...
router = routers.SimpleRouter()
router.register(r'users', UserViewSet)
router.register(r'accounts', AccountViewSet)
urlpatterns = [
path('forgot-password/', ForgotPasswordFormView.as_view()),
]
urlpatterns += router.urls
Alternatively you can use Django's `include` function, like so...
urlpatterns = [
path('forgot-password', ForgotPasswordFormView.as_view()),
path('', include(router.urls)),
]
You may use `include` with an application namespace:
urlpatterns = [
path('forgot-password/', ForgotPasswordFormView.as_view()),
path('api/', include((router.urls, 'app_name'))),
]
Or both an application and instance namespace:
urlpatterns = [
path('forgot-password/', ForgotPasswordFormView.as_view()),
path('api/', include((router.urls, 'app_name'), namespace='instance_name')),
]
See Django's [URL namespaces docs][url-namespace-docs] and the [`include` API reference][include-api-reference] for more details.
!!! note
If using namespacing with hyperlinked serializers you'll also need to ensure that any `view_name` parameters
on the serializers correctly reflect the namespace. In the examples above you'd need to include a parameter such as
`view_name='app_name:user-detail'` for serializer fields hyperlinked to the user detail view.
The automatic `view_name` generation uses a pattern like `%(model_name)-detail`. Unless your models names actually clash
you may be better off **not** namespacing your Django REST Framework views when using hyperlinked serializers.
### Routing for extra actions
A viewset may [mark extra actions for routing][route-decorators] by decorating a method with the `@action` decorator. These extra actions will be included in the generated routes. For example, given the `set_password` method on the `UserViewSet` class:
from myapp.permissions import IsAdminOrIsSelf
from rest_framework.decorators import action
class UserViewSet(ModelViewSet):
...
@action(methods=['post'], detail=True, permission_classes=[IsAdminOrIsSelf])
def set_password(self, request, pk=None):
...
The following route would be generated:
* URL pattern: `^users/{pk}/set_password/$`
* URL name: `'user-set-password'`
By default, the URL pattern is based on the method name, and the URL name is the combination of the `ViewSet.basename` and the hyphenated method name.
If you don't want to use the defaults for either of these values, you can instead provide the `url_path` and `url_name` arguments to the `@action` decorator.
For example, if you want to change the URL for our custom action to `^users/{pk}/change-password/$`, you could write:
from myapp.permissions import IsAdminOrIsSelf
from rest_framework.decorators import action
class UserViewSet(ModelViewSet):
...
@action(methods=['post'], detail=True, permission_classes=[IsAdminOrIsSelf],
url_path='change-password', url_name='change_password')
def set_password(self, request, pk=None):
...
The above example would now generate the following URL pattern:
* URL path: `^users/{pk}/change-password/$`
* URL name: `'user-change_password'`
### Using Django `path()` with routers
By default, the URLs created by routers use regular expressions. This behavior can be modified by setting the `use_regex_path` argument to `False` when instantiating the router, in this case [path converters][path-converters-topic-reference] are used. For example:
router = SimpleRouter(use_regex_path=False)
The router will match lookup values containing any characters except slashes and period characters. For a more restrictive (or lenient) lookup pattern, set the `lookup_value_regex` attribute on the viewset or `lookup_value_converter` if using path converters. For example, you can limit the lookup to valid UUIDs:
class MyModelViewSet(mixins.RetrieveModelMixin, viewsets.GenericViewSet):
lookup_field = 'my_model_id'
lookup_value_regex = '[0-9a-f]{32}'
class MyPathModelViewSet(mixins.RetrieveModelMixin, viewsets.GenericViewSet):
lookup_field = 'my_model_uuid'
lookup_value_converter = 'uuid'
Note that path converters will be used on all URLs registered in the router, including viewset actions.
# API Guide
## SimpleRouter
This router includes routes for the standard set of `list`, `create`, `retrieve`, `update`, `partial_update` and `destroy` actions. The viewset can also mark additional methods to be routed, using the `@action` decorator.
URL Style
HTTP Method
Action
URL Name
{prefix}/
GET
list
{basename}-list
POST
create
{prefix}/{url_path}/
GET, or as specified by `methods` argument
`@action(detail=False)` decorated method
{basename}-{url_name}
{prefix}/{lookup}/
GET
retrieve
{basename}-detail
PUT
update
PATCH
partial_update
DELETE
destroy
{prefix}/{lookup}/{url_path}/
GET, or as specified by `methods` argument
`@action(detail=True)` decorated method
{basename}-{url_name}
By default, the URLs created by `SimpleRouter` are appended with a trailing slash.
This behavior can be modified by setting the `trailing_slash` argument to `False` when instantiating the router. For example:
router = SimpleRouter(trailing_slash=False)
Trailing slashes are conventional in Django, but are not used by default in some other frameworks such as Rails. Which style you choose to use is largely a matter of preference, although some javascript frameworks may expect a particular routing style.
## DefaultRouter
This router is similar to `SimpleRouter` as above, but additionally includes a default API root view, that returns a response containing hyperlinks to all the list views. It also generates routes for optional `.json` style format suffixes.
URL Style
HTTP Method
Action
URL Name
[.format]
GET
automatically generated root view
api-root
{prefix}/[.format]
GET
list
{basename}-list
POST
create
{prefix}/{url_path}/[.format]
GET, or as specified by `methods` argument
`@action(detail=False)` decorated method
{basename}-{url_name}
{prefix}/{lookup}/[.format]
GET
retrieve
{basename}-detail
PUT
update
PATCH
partial_update
DELETE
destroy
{prefix}/{lookup}/{url_path}/[.format]
GET, or as specified by `methods` argument
`@action(detail=True)` decorated method
{basename}-{url_name}
As with `SimpleRouter` the trailing slashes on the URL routes can be removed by setting the `trailing_slash` argument to `False` when instantiating the router.
router = DefaultRouter(trailing_slash=False)
# Custom Routers
Implementing a custom router isn't something you'd need to do very often, but it can be useful if you have specific requirements about how the URLs for your API are structured. Doing so allows you to encapsulate the URL structure in a reusable way that ensures you don't have to write your URL patterns explicitly for each new view.
The simplest way to implement a custom router is to subclass one of the existing router classes. The `.routes` attribute is used to template the URL patterns that will be mapped to each viewset. The `.routes` attribute is a list of `Route` named tuples.
The arguments to the `Route` named tuple are:
**url**: A string representing the URL to be routed. May include the following format strings:
* `{prefix}` - The URL prefix to use for this set of routes.
* `{lookup}` - The lookup field used to match against a single instance.
* `{trailing_slash}` - Either a '/' or an empty string, depending on the `trailing_slash` argument.
**mapping**: A mapping of HTTP method names to the view methods
**name**: The name of the URL as used in `reverse` calls. May include the following format string:
* `{basename}` - The base to use for the URL names that are created.
**initkwargs**: A dictionary of any additional arguments that should be passed when instantiating the view. Note that the `detail`, `basename`, and `suffix` arguments are reserved for viewset introspection and are also used by the browsable API to generate the view name and breadcrumb links.
## Customizing dynamic routes
You can also customize how the `@action` decorator is routed. Include the `DynamicRoute` named tuple in the `.routes` list, setting the `detail` argument as appropriate for the list-based and detail-based routes. In addition to `detail`, the arguments to `DynamicRoute` are:
**url**: A string representing the URL to be routed. May include the same format strings as `Route`, and additionally accepts the `{url_path}` format string.
**name**: The name of the URL as used in `reverse` calls. May include the following format strings:
* `{basename}` - The base to use for the URL names that are created.
* `{url_name}` - The `url_name` provided to the `@action`.
**initkwargs**: A dictionary of any additional arguments that should be passed when instantiating the view.
## Example
The following example will only route to the `list` and `retrieve` actions, and does not use the trailing slash convention.
from rest_framework.routers import Route, DynamicRoute, SimpleRouter
class CustomReadOnlyRouter(SimpleRouter):
"""
A router for read-only APIs, which doesn't use trailing slashes.
"""
routes = [
Route(
url=r'^{prefix}$',
mapping={'get': 'list'},
name='{basename}-list',
detail=False,
initkwargs={'suffix': 'List'}
),
Route(
url=r'^{prefix}/{lookup}$',
mapping={'get': 'retrieve'},
name='{basename}-detail',
detail=True,
initkwargs={'suffix': 'Detail'}
),
DynamicRoute(
url=r'^{prefix}/{lookup}/{url_path}$',
name='{basename}-{url_name}',
detail=True,
initkwargs={}
)
]
Let's take a look at the routes our `CustomReadOnlyRouter` would generate for a simple viewset.
`views.py`:
class UserViewSet(viewsets.ReadOnlyModelViewSet):
"""
A viewset that provides the standard actions
"""
queryset = User.objects.all()
serializer_class = UserSerializer
lookup_field = 'username'
@action(detail=True)
def group_names(self, request, pk=None):
"""
Returns a list of all the group names that the given
user belongs to.
"""
user = self.get_object()
groups = user.groups.all()
return Response([group.name for group in groups])
`urls.py`:
router = CustomReadOnlyRouter()
router.register('users', UserViewSet)
urlpatterns = router.urls
The following mappings would be generated...
URL
HTTP Method
Action
URL Name
/users
GET
list
user-list
/users/{username}
GET
retrieve
user-detail
/users/{username}/group_names
GET
group_names
user-group-names
For another example of setting the `.routes` attribute, see the source code for the `SimpleRouter` class.
## Advanced custom routers
If you want to provide totally custom behavior, you can override `BaseRouter` and override the `get_urls(self)` method. The method should inspect the registered viewsets and return a list of URL patterns. The registered prefix, viewset and basename tuples may be inspected by accessing the `self.registry` attribute.
You may also want to override the `get_default_basename(self, viewset)` method, or else always explicitly set the `basename` argument when registering your viewsets with the router.
# Third Party Packages
The following third party packages are also available.
## DRF Nested Routers
The [drf-nested-routers package][drf-nested-routers] provides routers and relationship fields for working with nested resources.
## ModelRouter (wq.db.rest)
The [wq.db package][wq.db] provides an advanced [ModelRouter][wq.db-router] class (and singleton instance) that extends `DefaultRouter` with a `register_model()` API. Much like Django's `admin.site.register`, the only required argument to `rest.router.register_model` is a model class. Reasonable defaults for a url prefix, serializer, and viewset will be inferred from the model and global configuration.
from wq.db import rest
from myapp.models import MyModel
rest.router.register_model(MyModel)
## DRF-extensions
The [`DRF-extensions` package][drf-extensions] provides [routers][drf-extensions-routers] for creating [nested viewsets][drf-extensions-nested-viewsets], [collection level controllers][drf-extensions-collection-level-controllers] with [customizable endpoint names][drf-extensions-customizable-endpoint-names].
[cite]: https://guides.rubyonrails.org/routing.html
[route-decorators]: viewsets.md#marking-extra-actions-for-routing
[drf-nested-routers]: https://github.com/alanjds/drf-nested-routers
[wq.db]: https://wq.io/wq.db
[wq.db-router]: https://wq.io/docs/router
[drf-extensions]: https://chibisov.github.io/drf-extensions/docs/
[drf-extensions-routers]: https://chibisov.github.io/drf-extensions/docs/#routers
[drf-extensions-nested-viewsets]: https://chibisov.github.io/drf-extensions/docs/#nested-routes
[drf-extensions-collection-level-controllers]: https://chibisov.github.io/drf-extensions/docs/#collection-level-controllers
[drf-extensions-customizable-endpoint-names]: https://chibisov.github.io/drf-extensions/docs/#controller-endpoint-name
[url-namespace-docs]: https://docs.djangoproject.com/en/stable/topics/http/urls/#url-namespaces
[include-api-reference]: https://docs.djangoproject.com/en/stable/ref/urls/#include
[path-converters-topic-reference]: https://docs.djangoproject.com/en/stable/topics/http/urls/#path-converters
---
---
source:
- schemas
---
# Schema
> A machine-readable [schema] describes what resources are available via the API, what their URLs are, how they are represented and what operations they support.
>
> — Heroku, [JSON Schema for the Heroku Platform API][cite]
---
**Deprecation notice:**
REST framework's built-in support for generating OpenAPI schemas is
**deprecated** in favor of 3rd party packages that can provide this
functionality instead. The built-in support will be moved into a separate
package and then subsequently retired over the next releases.
As a full-fledged replacement, we recommend the [drf-spectacular] package.
It has extensive support for generating OpenAPI 3 schemas from
REST framework APIs, with both automatic and customizable options available.
For further information please refer to
[Documenting your API](../topics/documenting-your-api.md#drf-spectacular).
---
API schemas are a useful tool that allow for a range of use cases, including
generating reference documentation, or driving dynamic client libraries that
can interact with your API.
Django REST Framework provides support for automatic generation of
[OpenAPI][openapi] schemas.
## Overview
Schema generation has several moving parts. It's worth having an overview:
* `SchemaGenerator` is a top-level class that is responsible for walking your
configured URL patterns, finding `APIView` subclasses, enquiring for their
schema representation, and compiling the final schema object.
* `AutoSchema` encapsulates all the details necessary for per-view schema
introspection. Is attached to each view via the `schema` attribute. You
subclass `AutoSchema` in order to customize your schema.
* The `generateschema` management command allows you to generate a static schema
offline.
* Alternatively, you can route `SchemaView` to dynamically generate and serve
your schema.
* `settings.DEFAULT_SCHEMA_CLASS` allows you to specify an `AutoSchema`
subclass to serve as your project's default.
The following sections explain more.
## Generating an OpenAPI Schema
### Install dependencies
pip install pyyaml uritemplate inflection
* `pyyaml` is used to generate schema into YAML-based OpenAPI format.
* `uritemplate` is used internally to get parameters in path.
* `inflection` is used to pluralize operations more appropriately in the list endpoints.
### Generating a static schema with the `generateschema` management command
If your schema is static, you can use the `generateschema` management command:
```bash
./manage.py generateschema --file openapi-schema.yml
```
Once you've generated a schema in this way you can annotate it with any
additional information that cannot be automatically inferred by the schema
generator.
You might want to check your API schema into version control and update it
with each new release, or serve the API schema from your site's static media.
### Generating a dynamic schema with `SchemaView`
If you require a dynamic schema, because foreign key choices depend on database
values, for example, you can route a `SchemaView` that will generate and serve
your schema on demand.
To route a `SchemaView`, use the `get_schema_view()` helper.
In `urls.py`:
```python
from rest_framework.schemas import get_schema_view
urlpatterns = [
# ...
# Use the `get_schema_view()` helper to add a `SchemaView` to project URLs.
# * `title` and `description` parameters are passed to `SchemaGenerator`.
# * Provide view name for use with `reverse()`.
path(
"openapi",
get_schema_view(
title="Your Project", description="API for all things …", version="1.0.0"
),
name="openapi-schema",
),
# ...
]
```
#### `get_schema_view()`
The `get_schema_view()` helper takes the following keyword arguments:
* `title`: May be used to provide a descriptive title for the schema definition.
* `description`: Longer descriptive text.
* `version`: The version of the API.
* `url`: May be used to pass a canonical base URL for the schema.
schema_view = get_schema_view(
title='Server Monitoring API',
url='https://www.example.org/api/'
)
* `urlconf`: A string representing the import path to the URL conf that you want
to generate an API schema for. This defaults to the value of Django's
`ROOT_URLCONF` setting.
schema_view = get_schema_view(
title='Server Monitoring API',
url='https://www.example.org/api/',
urlconf='myproject.urls'
)
* `patterns`: List of url patterns to limit the schema introspection to. If you
only want the `myproject.api` urls to be exposed in the schema:
schema_url_patterns = [
path('api/', include('myproject.api.urls')),
]
schema_view = get_schema_view(
title='Server Monitoring API',
url='https://www.example.org/api/',
patterns=schema_url_patterns,
)
* `public`: May be used to specify if schema should bypass views permissions. Default to False
* `generator_class`: May be used to specify a `SchemaGenerator` subclass to be
passed to the `SchemaView`.
* `authentication_classes`: May be used to specify the list of authentication
classes that will apply to the schema endpoint. Defaults to
`settings.DEFAULT_AUTHENTICATION_CLASSES`
* `permission_classes`: May be used to specify the list of permission classes
that will apply to the schema endpoint. Defaults to
`settings.DEFAULT_PERMISSION_CLASSES`.
* `renderer_classes`: May be used to pass the set of renderer classes that can
be used to render the API root endpoint.
## SchemaGenerator
**Schema-level customization**
```python
from rest_framework.schemas.openapi import SchemaGenerator
```
`SchemaGenerator` is a class that walks a list of routed URL patterns, requests
the schema for each view and collates the resulting OpenAPI schema.
Typically you won't need to instantiate `SchemaGenerator` yourself, but you can
do so like so:
generator = SchemaGenerator(title='Stock Prices API')
Arguments:
* `title` **required**: The name of the API.
* `description`: Longer descriptive text.
* `version`: The version of the API. Defaults to `0.1.0`.
* `url`: The root URL of the API schema. This option is not required unless the schema is included under path prefix.
* `patterns`: A list of URLs to inspect when generating the schema. Defaults to the project's URL conf.
* `urlconf`: A URL conf module name to use when generating the schema. Defaults to `settings.ROOT_URLCONF`.
In order to customize the top-level schema, subclass
`rest_framework.schemas.openapi.SchemaGenerator` and provide your subclass
as an argument to the `generateschema` command or `get_schema_view()` helper
function.
### get_schema(self, request=None, public=False)
Returns a dictionary that represents the OpenAPI schema:
generator = SchemaGenerator(title='Stock Prices API')
schema = generator.get_schema()
The `request` argument is optional, and may be used if you want to apply
per-user permissions to the resulting schema generation.
This is a good point to override if you want to customize the generated
dictionary For example you might wish to add terms of service to the [top-level
`info` object][info-object]:
```
class TOSSchemaGenerator(SchemaGenerator):
def get_schema(self, *args, **kwargs):
schema = super().get_schema(*args, **kwargs)
schema["info"]["termsOfService"] = "https://example.com/tos.html"
return schema
```
## AutoSchema
**Per-View Customization**
```python
from rest_framework.schemas.openapi import AutoSchema
```
By default, view introspection is performed by an `AutoSchema` instance
accessible via the `schema` attribute on `APIView`.
auto_schema = some_view.schema
`AutoSchema` provides the OpenAPI elements needed for each view, request method
and path:
* A list of [OpenAPI components][openapi-components]. In DRF terms these are
mappings of serializers that describe request and response bodies.
* The appropriate [OpenAPI operation object][openapi-operation] that describes
the endpoint, including path and query parameters for pagination, filtering,
and so on.
```python
components = auto_schema.get_components(...)
operation = auto_schema.get_operation(...)
```
In compiling the schema, `SchemaGenerator` calls `get_components()` and
`get_operation()` for each view, allowed method, and path.
!!! note
The automatic introspection of components, and many operation
parameters relies on the relevant attributes and methods of
`GenericAPIView`: `get_serializer()`, `pagination_class`, `filter_backends`,
etc. For basic `APIView` subclasses, default introspection is essentially limited to
the URL kwarg path parameters for this reason.
`AutoSchema` encapsulates the view introspection needed for schema generation.
Because of this all the schema generation logic is kept in a single place,
rather than being spread around the already extensive view, serializer and
field APIs.
Keeping with this pattern, try not to let schema logic leak into your own
views, serializers, or fields when customizing the schema generation. You might
be tempted to do something like this:
```python
class CustomSchema(AutoSchema):
"""
AutoSchema subclass using schema_extra_info on the view.
"""
...
class CustomView(APIView):
schema = CustomSchema()
schema_extra_info = ... # some extra info
```
Here, the `AutoSchema` subclass goes looking for `schema_extra_info` on the
view. This is _OK_ (it doesn't actually hurt) but it means you'll end up with
your schema logic spread out in a number of different places.
Instead try to subclass `AutoSchema` such that the `extra_info` doesn't leak
out into the view:
```python
class BaseSchema(AutoSchema):
"""
AutoSchema subclass that knows how to use extra_info.
"""
...
class CustomSchema(BaseSchema):
extra_info = ... # some extra info
class CustomView(APIView):
schema = CustomSchema()
```
This style is slightly more verbose but maintains the encapsulation of the
schema related code. It's more _cohesive_ in the _parlance_. It'll keep the
rest of your API code more tidy.
If an option applies to many view classes, rather than creating a specific
subclass per-view, you may find it more convenient to allow specifying the
option as an `__init__()` kwarg to your base `AutoSchema` subclass:
```python
class CustomSchema(BaseSchema):
def __init__(self, **kwargs):
# store extra_info for later
self.extra_info = kwargs.pop("extra_info")
super().__init__(**kwargs)
class CustomView(APIView):
schema = CustomSchema(extra_info=...) # some extra info
```
This saves you having to create a custom subclass per-view for a commonly used option.
Not all `AutoSchema` methods expose related `__init__()` kwargs, but those for
the more commonly needed options do.
### `AutoSchema` methods
#### `get_components()`
Generates the OpenAPI components that describe request and response bodies,
deriving their properties from the serializer.
Returns a dictionary mapping the component name to the generated
representation. By default this has just a single pair but you may override
`get_components()` to return multiple pairs if your view uses multiple
serializers.
#### `get_component_name()`
Computes the component's name from the serializer.
You may see warnings if your API has duplicate component names. If so you can override `get_component_name()` or pass the `component_name` `__init__()` kwarg (see below) to provide different names.
#### `get_reference()`
Returns a reference to the serializer component. This may be useful if you override `get_schema()`.
#### `map_serializer()`
Maps serializers to their OpenAPI representations.
Most serializers should conform to the standard OpenAPI `object` type, but you may
wish to override `map_serializer()` in order to customize this or other
serializer-level fields.
#### `map_field()`
Maps individual serializer fields to their schema representation. The base implementation
will handle the default fields that Django REST Framework provides.
For `SerializerMethodField` instances, for which the schema is unknown, or custom field subclasses you should override `map_field()` to generate the correct schema:
```python
class CustomSchema(AutoSchema):
"""Extension of ``AutoSchema`` to add support for custom field schemas."""
def map_field(self, field):
# Handle SerializerMethodFields or custom fields here...
# ...
return super().map_field(field)
```
Authors of third-party packages should aim to provide an `AutoSchema` subclass,
and a mixin, overriding `map_field()` so that users can easily generate schemas
for their custom fields.
#### `get_tags()`
OpenAPI groups operations by tags. By default tags taken from the first path
segment of the routed URL. For example, a URL like `/users/{id}/` will generate
the tag `users`.
You can pass an `__init__()` kwarg to manually specify tags (see below), or
override `get_tags()` to provide custom logic.
#### `get_operation()`
Returns the [OpenAPI operation object][openapi-operation] that describes the
endpoint, including path and query parameters for pagination, filtering, and so
on.
Together with `get_components()`, this is the main entry point to the view
introspection.
#### `get_operation_id()`
There must be a unique [operationid][openapi-operationid] for each operation.
By default the `operationId` is deduced from the model name, serializer name or
view name. The operationId looks like "listItems", "retrieveItem",
"updateItem", etc. The `operationId` is camelCase by convention.
#### `get_operation_id_base()`
If you have several views with the same model name, you may see duplicate
operationIds.
In order to work around this, you can override `get_operation_id_base()` to
provide a different base for name part of the ID.
#### `get_serializer()`
If the view has implemented `get_serializer()`, returns the result.
#### `get_request_serializer()`
By default returns `get_serializer()` but can be overridden to
differentiate between request and response objects.
#### `get_response_serializer()`
By default returns `get_serializer()` but can be overridden to
differentiate between request and response objects.
### `AutoSchema.__init__()` kwargs
`AutoSchema` provides a number of `__init__()` kwargs that can be used for
common customizations, if the default generated values are not appropriate.
The available kwargs are:
* `tags`: Specify a list of tags.
* `component_name`: Specify the component name.
* `operation_id_base`: Specify the resource-name part of operation IDs.
You pass the kwargs when declaring the `AutoSchema` instance on your view:
```
class PetDetailView(generics.RetrieveUpdateDestroyAPIView):
schema = AutoSchema(
tags=['Pets'],
component_name='Pet',
operation_id_base='Pet',
)
...
```
Assuming a `Pet` model and `PetSerializer` serializer, the kwargs in this
example are probably not needed. Often, though, you'll need to pass the kwargs
if you have multiple view targeting the same model, or have multiple views with
identically named serializers.
If your views have related customizations that are needed frequently, you can
create a base `AutoSchema` subclass for your project that takes additional
`__init__()` kwargs to save subclassing `AutoSchema` for each view.
[cite]: https://www.heroku.com/blog/json_schema_for_heroku_platform_api/
[openapi]: https://github.com/OAI/OpenAPI-Specification
[openapi-specification-extensions]: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#specification-extensions
[openapi-operation]: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#operationObject
[openapi-tags]: https://swagger.io/specification/#tagObject
[openapi-operationid]: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#fixed-fields-17
[openapi-components]: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#componentsObject
[openapi-reference]: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#referenceObject
[openapi-generator]: https://github.com/OpenAPITools/openapi-generator
[swagger-codegen]: https://github.com/swagger-api/swagger-codegen
[info-object]: https://swagger.io/specification/#infoObject
[drf-spectacular]: https://drf-spectacular.readthedocs.io/en/latest/readme.html
---
---
source:
- serializers.py
---
# Serializers
> Expanding the usefulness of the serializers is something that we would
like to address. However, it's not a trivial problem, and it
will take some serious design work.
>
> — Russell Keith-Magee, [Django users group][cite]
Serializers allow complex data such as querysets and model instances to be converted to native Python datatypes that can then be easily rendered into `JSON`, `XML` or other content types. Serializers also provide deserialization, allowing parsed data to be converted back into complex types, after first validating the incoming data.
The serializers in REST framework work very similarly to Django's `Form` and `ModelForm` classes. We provide a `Serializer` class which gives you a powerful, generic way to control the output of your responses, as well as a `ModelSerializer` class which provides a useful shortcut for creating serializers that deal with model instances and querysets.
## Declaring Serializers
Let's start by creating a simple object we can use for example purposes:
from datetime import datetime
class Comment:
def __init__(self, email, content, created=None):
self.email = email
self.content = content
self.created = created or datetime.now()
comment = Comment(email='leila@example.com', content='foo bar')
We'll declare a serializer that we can use to serialize and deserialize data that corresponds to `Comment` objects.
Declaring a serializer looks very similar to declaring a form:
from rest_framework import serializers
class CommentSerializer(serializers.Serializer):
email = serializers.EmailField()
content = serializers.CharField(max_length=200)
created = serializers.DateTimeField()
## Serializing objects
We can now use `CommentSerializer` to serialize a comment, or list of comments. Again, using the `Serializer` class looks a lot like using a `Form` class.
serializer = CommentSerializer(comment)
serializer.data
# {'email': 'leila@example.com', 'content': 'foo bar', 'created': '2016-01-27T15:17:10.375877'}
At this point we've translated the model instance into Python native datatypes. To finalize the serialization process we render the data into `json`.
from rest_framework.renderers import JSONRenderer
json = JSONRenderer().render(serializer.data)
json
# b'{"email":"leila@example.com","content":"foo bar","created":"2016-01-27T15:17:10.375877"}'
## Deserializing objects
Deserialization is similar. First we parse a stream into Python native datatypes...
import io
from rest_framework.parsers import JSONParser
stream = io.BytesIO(json)
data = JSONParser().parse(stream)
...then we restore those native datatypes into a dictionary of validated data.
serializer = CommentSerializer(data=data)
serializer.is_valid()
# True
serializer.validated_data
# {'content': 'foo bar', 'email': 'leila@example.com', 'created': datetime.datetime(2012, 08, 22, 16, 20, 09, 822243)}
## Saving instances
If we want to be able to return complete object instances based on the validated data we need to implement one or both of the `.create()` and `.update()` methods. For example:
class CommentSerializer(serializers.Serializer):
email = serializers.EmailField()
content = serializers.CharField(max_length=200)
created = serializers.DateTimeField()
def create(self, validated_data):
return Comment(**validated_data)
def update(self, instance, validated_data):
instance.email = validated_data.get('email', instance.email)
instance.content = validated_data.get('content', instance.content)
instance.created = validated_data.get('created', instance.created)
return instance
If your object instances correspond to Django models you'll also want to ensure that these methods save the object to the database. For example, if `Comment` was a Django model, the methods might look like this:
def create(self, validated_data):
return Comment.objects.create(**validated_data)
def update(self, instance, validated_data):
instance.email = validated_data.get('email', instance.email)
instance.content = validated_data.get('content', instance.content)
instance.created = validated_data.get('created', instance.created)
instance.save()
return instance
Now when deserializing data, we can call `.save()` to return an object instance, based on the validated data.
comment = serializer.save()
Calling `.save()` will either create a new instance, or update an existing instance, depending on if an existing instance was passed when instantiating the serializer class:
# .save() will create a new instance.
serializer = CommentSerializer(data=data)
# .save() will update the existing `comment` instance.
serializer = CommentSerializer(comment, data=data)
Both the `.create()` and `.update()` methods are optional. You can implement either none, one, or both of them, depending on the use-case for your serializer class.
#### Passing additional attributes to `.save()`
Sometimes you'll want your view code to be able to inject additional data at the point of saving the instance. This additional data might include information like the current user, the current time, or anything else that is not part of the request data.
You can do so by including additional keyword arguments when calling `.save()`. For example:
serializer.save(owner=request.user)
Any additional keyword arguments will be included in the `validated_data` argument when `.create()` or `.update()` are called.
#### Overriding `.save()` directly.
In some cases the `.create()` and `.update()` method names may not be meaningful. For example, in a contact form we may not be creating new instances, but instead sending an email or other message.
In these cases you might instead choose to override `.save()` directly, as being more readable and meaningful.
For example:
class ContactForm(serializers.Serializer):
email = serializers.EmailField()
message = serializers.CharField()
def save(self):
email = self.validated_data['email']
message = self.validated_data['message']
send_email(from=email, message=message)
Note that in the case above we're now having to access the serializer `.validated_data` property directly.
## Validation
When deserializing data, you always need to call `is_valid()` before attempting to access the validated data, or save an object instance. If any validation errors occur, the `.errors` property will contain a dictionary representing the resulting error messages. For example:
serializer = CommentSerializer(data={'email': 'foobar', 'content': 'baz'})
serializer.is_valid()
# False
serializer.errors
# {'email': ['Enter a valid email address.'], 'created': ['This field is required.']}
Each key in the dictionary will be the field name, and the values will be lists of strings of any error messages corresponding to that field. The `non_field_errors` key may also be present, and will list any general validation errors. The name of the `non_field_errors` key may be customized using the `NON_FIELD_ERRORS_KEY` REST framework setting.
When deserializing a list of items, errors will be returned as a list of dictionaries representing each of the deserialized items.
#### Raising an exception on invalid data
The `.is_valid()` method takes an optional `raise_exception` flag that will cause it to raise a `serializers.ValidationError` exception if there are validation errors.
These exceptions are automatically dealt with by the default exception handler that REST framework provides, and will return `HTTP 400 Bad Request` responses by default.
# Return a 400 response if the data was invalid.
serializer.is_valid(raise_exception=True)
#### Field-level validation
You can specify custom field-level validation by adding `.validate_` methods to your `Serializer` subclass. These are similar to the `.clean_` methods on Django forms.
These methods take a single argument, which is the field value that requires validation.
Your `validate_` methods should return the validated value or raise a `serializers.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, value):
"""
Check that the blog post is about Django.
"""
if 'django' not in value.lower():
raise serializers.ValidationError("Blog post is not about Django")
return value
!!! note
If your `` is declared on your serializer with the parameter `required=False` then this validation step will not take place if the field is not included.
#### Object-level 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 a dictionary of field values. It should raise a `serializers.ValidationError` if necessary, or just return the validated values. For example:
from rest_framework import serializers
class EventSerializer(serializers.Serializer):
description = serializers.CharField(max_length=100)
start = serializers.DateTimeField()
finish = serializers.DateTimeField()
def validate(self, data):
"""
Check that start is before finish.
"""
if data['start'] > data['finish']:
raise serializers.ValidationError("finish must occur after start")
return data
#### Validators
Individual fields on a serializer can include validators, by declaring them on the field instance, for example:
def multiple_of_ten(value):
if value % 10 != 0:
raise serializers.ValidationError('Not a multiple of ten')
class GameRecord(serializers.Serializer):
score = serializers.IntegerField(validators=[multiple_of_ten])
...
Serializer classes can also include reusable validators that are applied to the complete set of field data. These validators are included by declaring them on an inner `Meta` class, like so:
class EventSerializer(serializers.Serializer):
name = serializers.CharField()
room_number = serializers.ChoiceField(choices=[101, 102, 103, 201])
date = serializers.DateField()
class Meta:
# Each room only has one event per day.
validators = [
UniqueTogetherValidator(
queryset=Event.objects.all(),
fields=['room_number', 'date']
)
]
For more information see the [validators documentation](validators.md).
## Accessing the initial data and instance
When passing an initial object or queryset to a serializer instance, the object will be made available as `.instance`. If no initial object is passed then the `.instance` attribute will be `None`.
When passing data to a serializer instance, the unmodified data will be made available as `.initial_data`. If the `data` keyword argument is not passed then the `.initial_data` attribute will not exist.
## Partial updates
By default, serializers must be passed values for all required fields or they will raise validation errors. You can use the `partial` argument in order to allow partial updates.
# Update `comment` with partial data
serializer = CommentSerializer(comment, data={'content': 'foo bar'}, partial=True)
## Dealing with nested objects
The previous examples are fine for dealing with objects that only have simple datatypes, but sometimes we also need to be able to represent more complex objects, where some of the attributes of an object might not be simple datatypes such as strings, dates or integers.
The `Serializer` class is itself a type of `Field`, and can be used to represent relationships where one object type is nested inside another.
class UserSerializer(serializers.Serializer):
email = serializers.EmailField()
username = serializers.CharField(max_length=100)
class CommentSerializer(serializers.Serializer):
user = UserSerializer()
content = serializers.CharField(max_length=200)
created = serializers.DateTimeField()
If a nested representation may optionally accept the `None` value you should pass the `required=False` flag to the nested serializer.
class CommentSerializer(serializers.Serializer):
user = UserSerializer(required=False) # May be an anonymous user.
content = serializers.CharField(max_length=200)
created = serializers.DateTimeField()
Similarly if a nested representation should be a list of items, you should pass the `many=True` flag to the nested serializer.
class CommentSerializer(serializers.Serializer):
user = UserSerializer(required=False)
edits = EditItemSerializer(many=True) # A nested list of 'edit' items.
content = serializers.CharField(max_length=200)
created = serializers.DateTimeField()
## Writable nested representations
When dealing with nested representations that support deserializing the data, any errors with nested objects will be nested under the field name of the nested object.
serializer = CommentSerializer(data={'user': {'email': 'foobar', 'username': 'doe'}, 'content': 'baz'})
serializer.is_valid()
# False
serializer.errors
# {'user': {'email': ['Enter a valid email address.']}, 'created': ['This field is required.']}
Similarly, the `.validated_data` property will include nested data structures.
#### Writing `.create()` methods for nested representations
If you're supporting writable nested representations you'll need to write `.create()` or `.update()` methods that handle saving multiple objects.
The following example demonstrates how you might handle creating a user with a nested profile object.
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
#### Writing `.update()` methods for nested representations
For updates you'll want to think carefully about how to handle updates to relationships. For example if the data for the relationship is `None`, or not provided, which of the following should occur?
* Set the relationship to `NULL` in the database.
* Delete the associated instance.
* Ignore the data and leave the instance as it is.
* Raise a validation error.
Here's an example for an `.update()` method on our previous `UserSerializer` class.
def update(self, instance, validated_data):
profile_data = validated_data.pop('profile')
# Unless the application properly enforces that this field is
# always set, the following could raise a `DoesNotExist`, which
# would need to be handled.
profile = instance.profile
instance.username = validated_data.get('username', instance.username)
instance.email = validated_data.get('email', instance.email)
instance.save()
profile.is_premium_member = profile_data.get(
'is_premium_member',
profile.is_premium_member
)
profile.has_support_contract = profile_data.get(
'has_support_contract',
profile.has_support_contract
)
profile.save()
return instance
Because the behavior of nested creates and updates can be ambiguous, and may require complex dependencies between related models, REST framework 3 requires you to always write these methods explicitly. The default `ModelSerializer` `.create()` and `.update()` methods do not include support for writable nested representations.
There are however, third-party packages available such as [DRF Writable Nested][thirdparty-writable-nested] that support automatic writable nested representations.
#### Handling saving related instances in model manager classes
An alternative to saving multiple related instances in the serializer is to write custom model manager classes that handle creating the correct instances.
For example, suppose we wanted to ensure that `User` instances and `Profile` instances are always created together as a pair. We might write a custom manager class that looks something like this:
class UserManager(models.Manager):
...
def create(self, username, email, is_premium_member=False, has_support_contract=False):
user = User(username=username, email=email)
user.save()
profile = Profile(
user=user,
is_premium_member=is_premium_member,
has_support_contract=has_support_contract
)
profile.save()
return user
This manager class now more nicely encapsulates that user instances and profile instances are always created at the same time. Our `.create()` method on the serializer class can now be re-written to use the new manager method.
def create(self, validated_data):
return User.objects.create(
username=validated_data['username'],
email=validated_data['email'],
is_premium_member=validated_data['profile']['is_premium_member'],
has_support_contract=validated_data['profile']['has_support_contract']
)
For more details on this approach see the Django documentation on [model managers][model-managers], and [this blogpost on using model and manager classes][encapsulation-blogpost].
## Dealing with multiple objects
The `Serializer` class can also handle serializing or deserializing lists of objects.
#### Serializing multiple objects
To serialize a queryset or list of objects instead of a single object instance, you should pass the `many=True` flag when instantiating the serializer. You can then pass a queryset or list of objects to be serialized.
queryset = Book.objects.all()
serializer = BookSerializer(queryset, many=True)
serializer.data
# [
# {'id': 0, 'title': 'The electric kool-aid acid test', 'author': 'Tom Wolfe'},
# {'id': 1, 'title': 'If this is a man', 'author': 'Primo Levi'},
# {'id': 2, 'title': 'The wind-up bird chronicle', 'author': 'Haruki Murakami'}
# ]
#### Deserializing multiple objects
The default behavior for deserializing multiple objects is to support multiple object creation, but not support multiple object updates. For more information on how to support or customize either of these cases, see the [ListSerializer](#listserializer) documentation below.
## Including extra context
There are some cases where you need to provide extra context to the serializer in addition to the object being serialized. One common case is if you're using a serializer that includes hyperlinked relations, which requires the serializer to have access to the current request so that it can properly generate fully qualified URLs.
You can provide arbitrary additional context by passing a `context` argument when instantiating the serializer. For example:
serializer = AccountSerializer(account, context={'request': request})
serializer.data
# {'id': 6, 'owner': 'denvercoder9', 'created': datetime.datetime(2013, 2, 12, 09, 44, 56, 678870), 'details': 'http://example.com/accounts/6/details'}
The context dictionary can be used within any serializer field logic, such as a custom `.to_representation()` method, by accessing the `self.context` attribute.
---
# ModelSerializer
Often you'll want serializer classes that map closely to Django model definitions.
The `ModelSerializer` class provides a shortcut that lets you automatically create a `Serializer` class with fields that correspond to the Model fields.
**The `ModelSerializer` class is the same as a regular `Serializer` class, except that**:
* It will automatically generate a set of fields for you, based on the model.
* It will automatically generate validators for the serializer, such as unique_together validators.
* It includes simple default implementations of `.create()` and `.update()`.
Declaring a `ModelSerializer` looks like this:
class AccountSerializer(serializers.ModelSerializer):
class Meta:
model = Account
fields = ['id', 'account_name', 'users', 'created']
By default, all the model fields on the class will be mapped to a corresponding serializer fields.
Any relationships such as foreign keys on the model will be mapped to `PrimaryKeyRelatedField`. Reverse relationships are not included by default unless explicitly included as specified in the [serializer relations][relations] documentation.
#### Inspecting a `ModelSerializer`
Serializer classes generate helpful verbose representation strings, that allow you to fully inspect the state of their fields. This is particularly useful when working with `ModelSerializers` where you want to determine what set of fields and validators are being automatically created for you.
To do so, open the Django shell, using `python manage.py shell`, then import the serializer class, instantiate it, and print the object representation…
>>> from myapp.serializers import AccountSerializer
>>> serializer = AccountSerializer()
>>> print(repr(serializer))
AccountSerializer():
id = IntegerField(label='ID', read_only=True)
name = CharField(allow_blank=True, max_length=100, required=False)
owner = PrimaryKeyRelatedField(queryset=User.objects.all())
## Specifying which fields to include
If you only want a subset of the default fields to be used in a model serializer, you can do so using `fields` or `exclude` options, just as you would with a `ModelForm`. It is strongly recommended that you explicitly set all fields that should be serialized using the `fields` attribute. This will make it less likely to result in unintentionally exposing data when your models change.
For example:
class AccountSerializer(serializers.ModelSerializer):
class Meta:
model = Account
fields = ['id', 'account_name', 'users', 'created']
You can also set the `fields` attribute to the special value `'__all__'` to indicate that all fields in the model should be used.
For example:
class AccountSerializer(serializers.ModelSerializer):
class Meta:
model = Account
fields = '__all__'
You can set the `exclude` attribute to a list of fields to be excluded from the serializer.
For example:
class AccountSerializer(serializers.ModelSerializer):
class Meta:
model = Account
exclude = ['users']
In the example above, if the `Account` model had 3 fields `account_name`, `users`, and `created`, this will result in the fields `account_name` and `created` to be serialized.
The names in the `fields` and `exclude` attributes will normally map to model fields on the model class.
Alternatively names in the `fields` options can map to properties or methods which take no arguments that exist on the model class.
Since version 3.3.0, it is **mandatory** to provide one of the attributes `fields` or `exclude`.
## Specifying nested serialization
The default `ModelSerializer` uses primary keys for relationships, but you can also easily generate nested representations using the `depth` option:
class AccountSerializer(serializers.ModelSerializer):
class Meta:
model = Account
fields = ['id', 'account_name', 'users', 'created']
depth = 1
The `depth` option should be set to an integer value that indicates the depth of relationships that should be traversed before reverting to a flat representation.
If you want to customize the way the serialization is done you'll need to define the field yourself.
## Specifying fields explicitly
You can add extra fields to a `ModelSerializer` or override the default fields by declaring fields on the class, just as you would for a `Serializer` class.
class AccountSerializer(serializers.ModelSerializer):
url = serializers.CharField(source='get_absolute_url', read_only=True)
groups = serializers.PrimaryKeyRelatedField(many=True)
class Meta:
model = Account
fields = ['url', 'groups']
Extra fields can correspond to any property or callable on the model.
## Specifying read only fields
You may wish to specify multiple fields as read-only. Instead of adding each field explicitly with the `read_only=True` attribute, you may use the shortcut Meta option, `read_only_fields`.
This option should be a list or tuple of field names, and is declared as follows:
class AccountSerializer(serializers.ModelSerializer):
class Meta:
model = Account
fields = ['id', 'account_name', 'users', 'created']
read_only_fields = ['account_name']
Model fields which have `editable=False` set, and `AutoField` fields will be set to read-only by default, and do not need to be added to the `read_only_fields` option.
!!! note
There is a special-case where a read-only field is part of a `unique_together` constraint at the model level. In this case the field is required by the serializer class in order to validate the constraint, but should also not be editable by the user.
The right way to deal with this is to specify the field explicitly on the serializer, providing both the `read_only=True` and `default=…` keyword arguments.
One example of this is a read-only relation to the currently authenticated `User` which is `unique_together` with another identifier. In this case you would declare the user field like so:
user = serializers.PrimaryKeyRelatedField(read_only=True, default=serializers.CurrentUserDefault())
Please review the [Validators Documentation](/api-guide/validators/) for details on the [UniqueTogetherValidator](/api-guide/validators/#uniquetogethervalidator) and [CurrentUserDefault](/api-guide/validators/#currentuserdefault) classes.
## Additional keyword arguments
There is also a shortcut allowing you to specify arbitrary additional keyword arguments on fields, using the `extra_kwargs` option. As in the case of `read_only_fields`, this means you do not need to explicitly declare the field on the serializer.
This option is a dictionary, mapping field names to a dictionary of keyword arguments. For example:
class CreateUserSerializer(serializers.ModelSerializer):
class Meta:
model = User
fields = ['email', 'username', 'password']
extra_kwargs = {'password': {'write_only': True}}
def create(self, validated_data):
user = User(
email=validated_data['email'],
username=validated_data['username']
)
user.set_password(validated_data['password'])
user.save()
return user
Please keep in mind that, if the field has already been explicitly declared on the serializer class, then the `extra_kwargs` option will be ignored.
## Relational fields
When serializing model instances, there are a number of different ways you might choose to represent relationships. The default representation for `ModelSerializer` is to use the primary keys of the related instances.
Alternative representations include serializing using hyperlinks, serializing complete nested representations, or serializing with a custom representation.
For full details see the [serializer relations][relations] documentation.
## Customizing field mappings
The ModelSerializer class also exposes an API that you can override in order to alter how serializer fields are automatically determined when instantiating the serializer.
Normally if a `ModelSerializer` does not generate the fields you need by default then you should either add them to the class explicitly, or simply use a regular `Serializer` class instead. However in some cases you may want to create a new base class that defines how the serializer fields are created for any given model.
### `serializer_field_mapping`
A mapping of Django model fields to REST framework serializer fields. You can override this mapping to alter the default serializer fields that should be used for each model field.
### `serializer_related_field`
This property should be the serializer field class, that is used for relational fields by default.
For `ModelSerializer` this defaults to `serializers.PrimaryKeyRelatedField`.
For `HyperlinkedModelSerializer` this defaults to `serializers.HyperlinkedRelatedField`.
### `serializer_url_field`
The serializer field class that should be used for any `url` field on the serializer.
Defaults to `serializers.HyperlinkedIdentityField`
### `serializer_choice_field`
The serializer field class that should be used for any choice fields on the serializer.
Defaults to `serializers.ChoiceField`
### The field_class and field_kwargs API
The following methods are called to determine the class and keyword arguments for each field that should be automatically included on the serializer. Each of these methods should return a two tuple of `(field_class, field_kwargs)`.
### `build_standard_field(self, field_name, model_field)`
Called to generate a serializer field that maps to a standard model field.
The default implementation returns a serializer class based on the `serializer_field_mapping` attribute.
### `build_relational_field(self, field_name, relation_info)`
Called to generate a serializer field that maps to a relational model field.
The default implementation returns a serializer class based on the `serializer_related_field` attribute.
The `relation_info` argument is a named tuple, that contains `model_field`, `related_model`, `to_many` and `has_through_model` properties.
### `build_nested_field(self, field_name, relation_info, nested_depth)`
Called to generate a serializer field that maps to a relational model field, when the `depth` option has been set.
The default implementation dynamically creates a nested serializer class based on either `ModelSerializer` or `HyperlinkedModelSerializer`.
The `nested_depth` will be the value of the `depth` option, minus one.
The `relation_info` argument is a named tuple, that contains `model_field`, `related_model`, `to_many` and `has_through_model` properties.
### `build_property_field(self, field_name, model_class)`
Called to generate a serializer field that maps to a property or zero-argument method on the model class.
The default implementation returns a `ReadOnlyField` class.
### `build_url_field(self, field_name, model_class)`
Called to generate a serializer field for the serializer's own `url` field. The default implementation returns a `HyperlinkedIdentityField` class.
### `build_unknown_field(self, field_name, model_class)`
Called when the field name did not map to any model field or model property.
The default implementation raises an error, although subclasses may customize this behavior.
---
# HyperlinkedModelSerializer
The `HyperlinkedModelSerializer` class is similar to the `ModelSerializer` class except that it uses hyperlinks to represent relationships, rather than primary keys.
By default the serializer will include a `url` field instead of a primary key field.
The url field will be represented using a `HyperlinkedIdentityField` serializer field, and any relationships on the model will be represented using a `HyperlinkedRelatedField` serializer field.
You can explicitly include the primary key by adding it to the `fields` option, for example:
class AccountSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = Account
fields = ['url', 'id', 'account_name', 'users', 'created']
## Absolute and relative URLs
When instantiating a `HyperlinkedModelSerializer` you must include the current
`request` in the serializer context, for example:
serializer = AccountSerializer(queryset, context={'request': request})
Doing so will ensure that the hyperlinks can include an appropriate hostname,
so that the resulting representation uses fully qualified URLs, such as:
http://api.example.com/accounts/1/
Rather than relative URLs, such as:
/accounts/1/
If you *do* want to use relative URLs, you should explicitly pass `{'request': None}`
in the serializer context.
## How hyperlinked views are determined
There needs to be a way of determining which views should be used for hyperlinking to model instances.
By default hyperlinks are expected to correspond to a view name that matches the style `'{model_name}-detail'`, and looks up the instance by a `pk` keyword argument.
You can override a URL field view name and lookup field by using either, or both of, the `view_name` and `lookup_field` options in the `extra_kwargs` setting, like so:
class AccountSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = Account
fields = ['url', 'account_name', 'users', 'created']
extra_kwargs = {
'url': {'view_name': 'accounts', 'lookup_field': 'account_name'},
'users': {'lookup_field': 'username'}
}
Alternatively you can set the fields on the serializer explicitly. For example:
class AccountSerializer(serializers.HyperlinkedModelSerializer):
url = serializers.HyperlinkedIdentityField(
view_name='accounts',
lookup_field='slug'
)
users = serializers.HyperlinkedRelatedField(
view_name='user-detail',
lookup_field='username',
many=True,
read_only=True
)
class Meta:
model = Account
fields = ['url', 'account_name', 'users', 'created']
---
**Tip**: Properly matching together hyperlinked representations and your URL conf can sometimes be a bit fiddly. Printing the `repr` of a `HyperlinkedModelSerializer` instance is a particularly useful way to inspect exactly which view names and lookup fields the relationships are expected to map too.
---
## Changing the URL field name
The name of the URL field defaults to 'url'. You can override this globally, by using the `URL_FIELD_NAME` setting.
---
# ListSerializer
The `ListSerializer` class provides the behavior for serializing and validating multiple objects at once. You won't *typically* need to use `ListSerializer` directly, but should instead simply pass `many=True` when instantiating a serializer.
When a serializer is instantiated and `many=True` is passed, a `ListSerializer` instance will be created. The serializer class then becomes a child of the parent `ListSerializer`
The following argument can also be passed to a `ListSerializer` field or a serializer that is passed `many=True`:
### `allow_empty`
This is `True` by default, but can be set to `False` if you want to disallow empty lists as valid input.
### `max_length`
This is `None` by default, but can be set to a positive integer if you want to validate that the list contains no more than this number of elements.
### `min_length`
This is `None` by default, but can be set to a positive integer if you want to validate that the list contains no fewer than this number of elements.
### Customizing `ListSerializer` behavior
There *are* a few use cases when you might want to customize the `ListSerializer` behavior. For example:
* You want to provide particular validation of the lists, such as checking that one element does not conflict with another element in a list.
* You want to customize the create or update behavior of multiple objects.
For these cases you can modify the class that is used when `many=True` is passed, by using the `list_serializer_class` option on the serializer `Meta` class.
For example:
class CustomListSerializer(serializers.ListSerializer):
...
class CustomSerializer(serializers.Serializer):
...
class Meta:
list_serializer_class = CustomListSerializer
#### Customizing multiple create
The default implementation for multiple object creation is to simply call `.create()` for each item in the list. If you want to customize this behavior, you'll need to customize the `.create()` method on `ListSerializer` class that is used when `many=True` is passed.
For example:
class BookListSerializer(serializers.ListSerializer):
def create(self, validated_data):
books = [Book(**item) for item in validated_data]
return Book.objects.bulk_create(books)
class BookSerializer(serializers.Serializer):
...
class Meta:
list_serializer_class = BookListSerializer
#### Customizing multiple update
By default the `ListSerializer` class does not support multiple updates. This is because the behavior that should be expected for insertions and deletions is ambiguous.
To support multiple updates you'll need to do so explicitly. When writing your multiple update code make sure to keep the following in mind:
* How do you determine which instance should be updated for each item in the list of data?
* How should insertions be handled? Are they invalid, or do they create new objects?
* How should removals be handled? Do they imply object deletion, or removing a relationship? Should they be silently ignored, or are they invalid?
* How should ordering be handled? Does changing the position of two items imply any state change or is it ignored?
You will need to add an explicit `id` field to the instance serializer. The default implicitly-generated `id` field is marked as `read_only`. This causes it to be removed on updates. Once you declare it explicitly, it will be available in the list serializer's `update` method.
Here's an example of how you might choose to implement multiple updates:
class BookListSerializer(serializers.ListSerializer):
def update(self, instance, validated_data):
# Maps for id->instance and id->data item.
book_mapping = {book.id: book for book in instance}
data_mapping = {item['id']: item for item in validated_data}
# Perform creations and updates.
ret = []
for book_id, data in data_mapping.items():
book = book_mapping.get(book_id, None)
if book is None:
ret.append(self.child.create(data))
else:
ret.append(self.child.update(book, data))
# Perform deletions.
for book_id, book in book_mapping.items():
if book_id not in data_mapping:
book.delete()
return ret
class BookSerializer(serializers.Serializer):
# We need to identify elements in the list using their primary key,
# so use a writable field here, rather than the default which would be read-only.
id = serializers.IntegerField()
...
class Meta:
list_serializer_class = BookListSerializer
#### Customizing ListSerializer initialization
When a serializer with `many=True` is instantiated, we need to determine which arguments and keyword arguments should be passed to the `.__init__()` method for both the child `Serializer` class, and for the parent `ListSerializer` class.
The default implementation is to pass all arguments to both classes, except for `validators`, and any custom keyword arguments, both of which are assumed to be intended for the child serializer class.
Occasionally you might need to explicitly specify how the child and parent classes should be instantiated when `many=True` is passed. You can do so by using the `many_init` class method.
@classmethod
def many_init(cls, *args, **kwargs):
# Instantiate the child serializer.
kwargs['child'] = cls()
# Instantiate the parent list serializer.
return CustomListSerializer(*args, **kwargs)
---
# BaseSerializer
`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:
* `.data` - Returns the outgoing primitive representation.
* `.is_valid()` - Deserializes and validates incoming data.
* `.validated_data` - Returns the validated incoming data.
* `.errors` - Returns any errors during validation.
* `.save()` - Persists the validated data into an object instance.
There are four methods that can be overridden, depending on what functionality you want the serializer class to support:
* `.to_representation()` - Override this to support serialization, for read operations.
* `.to_internal_value()` - Override this to support deserialization, for write operations.
* `.create()` and `.update()` - Override either or both of these to support saving instances.
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, instance):
return {
'score': instance.score,
'player_name': instance.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 `serializers.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 serializers.ValidationError({
'score': 'This field is required.'
})
if not player_name:
raise serializers.ValidationError({
'player_name': 'This field is required.'
})
if len(player_name) > 10:
raise serializers.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, instance):
return {
'score': instance.score,
'player_name': instance.player_name
}
def create(self, validated_data):
return HighScore.objects.create(**validated_data)
#### Creating new base classes
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 complex objects into primitive representations.
class ObjectSerializer(serializers.BaseSerializer):
"""
A read-only serializer that coerces arbitrary complex objects
into primitive representations.
"""
def to_representation(self, instance):
output = {}
for attribute_name in dir(instance):
attribute = getattr(instance, attribute_name)
if attribute_name.startswith('_'):
# 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)
return output
---
# Advanced serializer usage
## Overriding serialization and deserialization behavior
If you need to alter the serialization or deserialization behavior of a serializer class, you can do so by overriding the `.to_representation()` or `.to_internal_value()` methods.
Some reasons this might be useful include...
* Adding new behavior for new serializer base classes.
* Modifying the behavior slightly for an existing class.
* Improving serialization performance for a frequently accessed API endpoint that returns lots of data.
The signatures for these methods are as follows:
#### `to_representation(self, instance)`
Takes the object instance that requires serialization, and should return a primitive representation. Typically this means returning a structure of built-in Python datatypes. The exact types that can be handled will depend on the render classes you have configured for your API.
May be overridden in order to modify the representation style. For example:
def to_representation(self, instance):
"""Convert `username` to lowercase."""
ret = super().to_representation(instance)
ret['username'] = ret['username'].lower()
return ret
#### ``to_internal_value(self, data)``
Takes the unvalidated incoming data as input and should return the validated data that will be made available as `serializer.validated_data`. The return value will also be passed to the `.create()` or `.update()` methods if `.save()` is called on the serializer class.
If any of the validation fails, then the method should raise a `serializers.ValidationError(errors)`. The `errors` argument should be a dictionary mapping field names (or `settings.NON_FIELD_ERRORS_KEY`) to a list of error messages. If you don't need to alter deserialization behavior and instead want to provide object-level validation, it's recommended that you instead override the [`.validate()`](#object-level-validation) method.
The `data` argument passed to this method will normally be the value of `request.data`, so the datatype it provides will depend on the parser classes you have configured for your API.
## Serializer Inheritance
Similar to Django forms, you can extend and reuse serializers through inheritance. This allows you to declare a common set of fields or methods on a parent class that can then be used in a number of serializers. For example,
class MyBaseSerializer(Serializer):
my_field = serializers.CharField()
def validate_my_field(self, value):
...
class MySerializer(MyBaseSerializer):
...
Like Django's `Model` and `ModelForm` classes, the inner `Meta` class on serializers does not implicitly inherit from it's parents' inner `Meta` classes. If you want the `Meta` class to inherit from a parent class you must do so explicitly. For example:
class AccountSerializer(MyBaseSerializer):
class Meta(MyBaseSerializer.Meta):
model = Account
Typically we would recommend *not* using inheritance on inner Meta classes, but instead declaring all options explicitly.
Additionally, the following caveats apply to serializer inheritance:
* Normal Python name resolution rules apply. If you have multiple base classes that declare a `Meta` inner class, only the first one will be used. This means the child’s `Meta`, if it exists, otherwise the `Meta` of the first parent, etc.
* It’s possible to declaratively remove a `Field` inherited from a parent class by setting the name to be `None` on the subclass.
class MyBaseSerializer(ModelSerializer):
my_field = serializers.CharField()
class MySerializer(MyBaseSerializer):
my_field = None
However, you can only use this technique to opt out from a field defined declaratively by a parent class; it won’t prevent the `ModelSerializer` from generating a default field. To opt-out from default fields, see [Specifying which fields to include](#specifying-which-fields-to-include).
## Dynamically modifying fields
Once a serializer has been initialized, the dictionary of fields that are set on the serializer may be accessed using the `.fields` attribute. Accessing and modifying this attribute allows you to dynamically modify the serializer.
Modifying the `fields` argument directly allows you to do interesting things such as changing the arguments on serializer fields at runtime, rather than at the point of declaring the serializer.
### Example
For example, if you wanted to be able to set which fields should be used by a serializer at the point of initializing it, you could create a serializer class like so:
class DynamicFieldsModelSerializer(serializers.ModelSerializer):
"""
A ModelSerializer that takes an additional `fields` argument that
controls which fields should be displayed.
"""
def __init__(self, *args, **kwargs):
# Don't pass the 'fields' arg up to the superclass
fields = kwargs.pop('fields', None)
# Instantiate the superclass normally
super().__init__(*args, **kwargs)
if fields is not None:
# Drop any fields that are not specified in the `fields` argument.
allowed = set(fields)
existing = set(self.fields)
for field_name in existing - allowed:
self.fields.pop(field_name)
This would then allow you to do the following:
>>> class UserSerializer(DynamicFieldsModelSerializer):
>>> class Meta:
>>> model = User
>>> fields = ['id', 'username', 'email']
>>>
>>> print(UserSerializer(user))
{'id': 2, 'username': 'jonwatts', 'email': 'jon@example.com'}
>>>
>>> print(UserSerializer(user, fields=('id', 'email')))
{'id': 2, 'email': 'jon@example.com'}
## Customizing the default fields
REST framework 2 provided an API to allow developers to override how a `ModelSerializer` class would automatically generate the default set of fields.
This API included the `.get_field()`, `.get_pk_field()` and other methods.
Because the serializers have been fundamentally redesigned with 3.0 this API no longer exists. You can still modify the fields that get created but you'll need to refer to the source code, and be aware that if the changes you make are against private bits of API then they may be subject to change.
---
# Third party packages
The following third party packages are also available.
## Django REST marshmallow
The [django-rest-marshmallow][django-rest-marshmallow] package provides an alternative implementation for serializers, using the python [marshmallow][marshmallow] library. It exposes the same API as the REST framework serializers, and can be used as a drop-in replacement in some use-cases.
## Serpy
The [serpy][serpy] package is an alternative implementation for serializers that is built for speed. [Serpy][serpy] serializes complex datatypes to simple native types. The native types can be easily converted to JSON or any other format needed.
## MongoengineModelSerializer
The [django-rest-framework-mongoengine][mongoengine] package provides a `MongoEngineModelSerializer` serializer class that supports using MongoDB as the storage layer for Django REST framework.
## GeoFeatureModelSerializer
The [django-rest-framework-gis][django-rest-framework-gis] package provides a `GeoFeatureModelSerializer` serializer class that supports GeoJSON both for read and write operations.
## HStoreSerializer
The [django-rest-framework-hstore][django-rest-framework-hstore] package provides an `HStoreSerializer` to support [django-hstore][django-hstore] `DictionaryField` model field and its `schema-mode` feature.
## Dynamic REST
The [dynamic-rest][dynamic-rest] package extends the ModelSerializer and ModelViewSet interfaces, adding API query parameters for filtering, sorting, and including / excluding all fields and relationships defined by your serializers.
## Dynamic Fields Mixin
The [drf-dynamic-fields][drf-dynamic-fields] package provides a mixin to dynamically limit the fields per serializer to a subset specified by an URL parameter.
## DRF FlexFields
The [drf-flex-fields][drf-flex-fields] package extends the ModelSerializer and ModelViewSet to provide commonly used functionality for dynamically setting fields and expanding primitive fields to nested models, both from URL parameters and your serializer class definitions.
## Serializer Extensions
The [django-rest-framework-serializer-extensions][drf-serializer-extensions]
package provides a collection of tools to DRY up your serializers, by allowing
fields to be defined on a per-view/request basis. Fields can be whitelisted,
blacklisted and child serializers can be optionally expanded.
## HTML JSON Forms
The [html-json-forms][html-json-forms] package provides an algorithm and serializer for processing `
{% endblock %}
You can also customize the style by adding the `bootstrap_theme` or `style` block similar to `api.html`.
### Advanced Customization
#### Context
The context that's available to the template:
* `allowed_methods` : A list of methods allowed by the resource
* `api_settings` : The API settings
* `available_formats` : A list of formats allowed by the resource
* `breadcrumblist` : The list of links following the chain of nested resources
* `content` : The content of the API response
* `description` : The description of the resource, generated from its docstring
* `name` : The name of the resource
* `post_form` : A form instance for use by the POST form (if allowed)
* `put_form` : A form instance for use by the PUT form (if allowed)
* `display_edit_forms` : A boolean indicating whether or not POST, PUT and PATCH forms will be displayed
* `request` : The request object
* `response` : The response object
* `version` : The version of Django REST Framework
* `view` : The view handling the request
* `FORMAT_PARAM` : The view can accept a format override
* `METHOD_PARAM` : The view can accept a method override
You can override the `BrowsableAPIRenderer.get_context()` method to customize the context that gets passed to the template.
#### Not using base.html
For more advanced customization, such as not having a Bootstrap basis or tighter integration with the rest of your site, you can simply choose not to have `api.html` extend `base.html`. Then the page content and capabilities are entirely up to you.
#### Handling `ChoiceField` with large numbers of items.
When a relationship or `ChoiceField` has too many items, rendering the widget containing all the options can become very slow, and cause the browsable API rendering to perform poorly.
The simplest option in this case is to replace the select input with a standard text input. For example:
author = serializers.HyperlinkedRelatedField(
queryset=User.objects.all(),
style={'base_template': 'input.html'}
)
#### Autocomplete
An alternative, but more complex option would be to replace the input with an autocomplete widget, that only loads and renders a subset of the available options as needed. If you need to do this you'll need to do some work to build a custom autocomplete HTML template yourself.
There are [a variety of packages for autocomplete widgets][autocomplete-packages], such as [django-autocomplete-light][django-autocomplete-light], that you may want to refer to. Note that you will not be able to simply include these components as standard widgets, but will need to write the HTML template explicitly. This is because REST framework 3.0 no longer supports the `widget` keyword argument since it now uses templated HTML generation.
---
[cite]: https://en.wikiquote.org/wiki/Alfred_North_Whitehead
[drfreverse]: ../api-guide/reverse.md
[ffjsonview]: https://addons.mozilla.org/en-US/firefox/addon/jsonview/
[chromejsonview]: https://chrome.google.com/webstore/detail/chklaanhfefbnpoihckbnefhakgolnmc
[bootstrap]: https://getbootstrap.com/
[cerulean]: ../img/cerulean.png
[slate]: ../img/slate.png
[bswatch]: https://bootswatch.com/
[bcomponents]: https://getbootstrap.com/2.3.2/components.html
[bcomponentsnav]: https://getbootstrap.com/2.3.2/components.html#navbar
[autocomplete-packages]: https://www.djangopackages.com/grids/g/auto-complete/
[django-autocomplete-light]: https://github.com/yourlabs/django-autocomplete-light
[drf-restwind]: https://github.com/youzarsiph/drf-restwind
[drf-rw-api-root]: ../img/drf-rw-api-root.png
[drf-rw-list-view]: ../img/drf-rw-list-view.png
[drf-rw-detail-view]: ../img/drf-rw-detail-view.png
[drf-redesign]: https://github.com/youzarsiph/drf-redesign
[drf-r-api-root]: ../img/drf-r-api-root.png
[drf-r-list-view]: ../img/drf-r-list-view.png
[drf-r-detail-view]: ../img/drf-r-detail-view.png
[drf-material]: https://github.com/youzarsiph/drf-material
[drf-m-api-root]: ../img/drf-m-api-root.png
[drf-m-list-view]: ../img/drf-m-list-view.png
[drf-m-detail-view]: ../img/drf-m-detail-view.png
---
# Browser enhancements
> "There are two noncontroversial uses for overloaded POST. The first is to *simulate* HTTP's uniform interface for clients like web browsers that don't support PUT or DELETE"
>
> — [RESTful Web Services][cite], Leonard Richardson & Sam Ruby.
In order to allow the browsable API to function, there are a couple of browser enhancements that REST framework needs to provide.
As of version 3.3.0 onwards these are enabled with javascript, using the [ajax-form][ajax-form] library.
## Browser based PUT, DELETE, etc...
The [AJAX form library][ajax-form] supports browser-based `PUT`, `DELETE` and other methods on HTML forms.
After including the library, use the `data-method` attribute on the form, like so:
...
Note that prior to 3.3.0, this support was server-side rather than javascript based. The method overloading style (as used in [Ruby on Rails][rails]) is no longer supported due to subtle issues that it introduces in request parsing.
## Browser based submission of non-form content
Browser-based submission of content types such as JSON are supported by the [AJAX form library][ajax-form], using form fields with `data-override='content-type'` and `data-override='content'` attributes.
For example:
Note that prior to 3.3.0, this support was server-side rather than javascript based.
## URL based format suffixes
REST framework can take `?format=json` style URL parameters, which can be a
useful shortcut for determining which content type should be returned from
the view.
This behavior is controlled using the `URL_FORMAT_OVERRIDE` setting.
## HTTP header based method overriding
Prior to version 3.3.0 the semi extension header `X-HTTP-Method-Override` was supported for overriding the request method. This behavior is no longer in core, but can be adding if needed using middleware.
For example:
METHOD_OVERRIDE_HEADER = 'HTTP_X_HTTP_METHOD_OVERRIDE'
class MethodOverrideMiddleware:
def __init__(self, get_response):
self.get_response = get_response
def __call__(self, request):
if request.method == 'POST' and METHOD_OVERRIDE_HEADER in request.META:
request.method = request.META[METHOD_OVERRIDE_HEADER]
return self.get_response(request)
## URL based accept headers
Until version 3.3.0 REST framework included built-in support for `?accept=application/json` style URL parameters, which would allow the `Accept` header to be overridden.
Since the introduction of the content negotiation API this behavior is no longer included in core, but may be added using a custom content negotiation class, if needed.
For example:
class AcceptQueryParamOverride()
def get_accept_list(self, request):
header = request.META.get('HTTP_ACCEPT', '*/*')
header = request.query_params.get('_accept', header)
return [token.strip() for token in header.split(',')]
## Doesn't HTML5 support PUT and DELETE forms?
Nope. It was at one point intended to support `PUT` and `DELETE` forms, but
was later [dropped from the spec][html5]. There remains
[ongoing discussion][put_delete] about adding support for `PUT` and `DELETE`,
as well as how to support content types other than form-encoded data.
[cite]: https://www.amazon.com/RESTful-Web-Services-Leonard-Richardson/dp/0596529260
[ajax-form]: https://github.com/tomchristie/ajax-form
[rails]: https://guides.rubyonrails.org/form_helpers.html#how-do-forms-with-put-or-delete-methods-work
[html5]: https://www.w3.org/TR/html5-diff/#changes-2010-06-24
[put_delete]: http://amundsen.com/examples/put-delete-forms/
---
# Documenting your API
> A REST API should spend almost all of its descriptive effort in defining the media type(s) used for representing resources and driving application state.
>
> — Roy Fielding, [REST APIs must be hypertext driven][cite]
REST framework provides a range of different choices for documenting your API. The following
is a non-exhaustive list of the most popular ones.
## Third party packages for OpenAPI support
### drf-spectacular
[drf-spectacular][drf-spectacular] is an [OpenAPI 3][open-api] schema generation library with explicit
focus on extensibility, customizability and client generation. It is the recommended way for
generating and presenting OpenAPI schemas.
The library aims to extract as much schema information as possible, while providing decorators and extensions for easy
customization. There is explicit support for [swagger-codegen][swagger], [SwaggerUI][swagger-ui] and [Redoc][redoc],
i18n, versioning, authentication, polymorphism (dynamic requests and responses), query/path/header parameters,
documentation and more. Several popular plugins for DRF are supported out-of-the-box as well.
### drf-yasg
[drf-yasg][drf-yasg] is a [Swagger / OpenAPI 2][swagger] generation tool implemented without using the schema generation provided
by Django Rest Framework.
It aims to implement as much of the [OpenAPI 2][open-api] specification as possible - nested schemas, named models,
response bodies, enum/pattern/min/max validators, form parameters, etc. - and to generate documents usable with code
generation tools like `swagger-codegen`.
This also translates into a very useful interactive documentation viewer in the form of `swagger-ui`:
![Screenshot - drf-yasg][image-drf-yasg]
---
## Built-in OpenAPI schema generation (deprecated)
**Deprecation notice: REST framework's built-in support for generating OpenAPI schemas is
deprecated in favor of 3rd party packages that can provide this functionality instead.
As replacement, we recommend using the [drf-spectacular](#drf-spectacular) package.**
There are a number of packages available that allow you to generate HTML
documentation pages from OpenAPI schemas.
Two popular options are [Swagger UI][swagger-ui] and [ReDoc][redoc].
Both require little more than the location of your static schema file or
dynamic `SchemaView` endpoint.
### A minimal example with Swagger UI
Assuming you've followed the example from the schemas documentation for routing
a dynamic `SchemaView`, a minimal Django template for using Swagger UI might be
this:
```html
Swagger
```
Save this in your templates folder as `swagger-ui.html`. Then route a
`TemplateView` in your project's URL conf:
```python
from django.views.generic import TemplateView
urlpatterns = [
# ...
# Route TemplateView to serve Swagger UI template.
# * Provide `extra_context` with view name of `SchemaView`.
path(
"swagger-ui/",
TemplateView.as_view(
template_name="swagger-ui.html",
extra_context={"schema_url": "openapi-schema"},
),
name="swagger-ui",
),
]
```
See the [Swagger UI documentation][swagger-ui] for advanced usage.
### A minimal example with ReDoc.
Assuming you've followed the example from the schemas documentation for routing
a dynamic `SchemaView`, a minimal Django template for using ReDoc might be
this:
```html
ReDoc
```
Save this in your templates folder as `redoc.html`. Then route a `TemplateView`
in your project's URL conf:
```python
from django.views.generic import TemplateView
urlpatterns = [
# ...
# Route TemplateView to serve the ReDoc template.
# * Provide `extra_context` with view name of `SchemaView`.
path(
"redoc/",
TemplateView.as_view(
template_name="redoc.html", extra_context={"schema_url": "openapi-schema"}
),
name="redoc",
),
]
```
See the [ReDoc documentation][redoc] for advanced usage.
## Self describing APIs
The browsable API that REST framework provides makes it possible for your API to be entirely self describing. The documentation for each API endpoint can be provided simply by visiting the URL in your browser.
![Screenshot - Self describing API][image-self-describing-api]
---
#### Setting the title
The title that is used in the browsable API is generated from the view class name or function name. Any trailing `View` or `ViewSet` suffix is stripped, and the string is whitespace separated on uppercase/lowercase boundaries or underscores.
For example, the view `UserListView`, will be named `User List` when presented in the browsable API.
When working with viewsets, an appropriate suffix is appended to each generated view. For example, the view set `UserViewSet` will generate views named `User List` and `User Instance`.
#### Setting the description
The description in the browsable API is generated from the docstring of the view or viewset.
If the python `Markdown` library is installed, then [markdown syntax][markdown] may be used in the docstring, and will be converted to HTML in the browsable API. For example:
class AccountListView(views.APIView):
"""
Returns a list of all **active** accounts in the system.
For more details on how accounts are activated please [see here][ref].
[ref]: http://example.com/activating-accounts
"""
Note that when using viewsets the basic docstring is used for all generated views. To provide descriptions for each view, such as for the list and retrieve views, use docstring sections as described in [Schemas as documentation: Examples][schemas-examples].
#### The `OPTIONS` method
REST framework APIs also support programmatically accessible descriptions, using the `OPTIONS` HTTP method. A view will respond to an `OPTIONS` request with metadata including the name, description, and the various media types it accepts and responds with.
When using the generic views, any `OPTIONS` requests will additionally respond with metadata regarding any `POST` or `PUT` actions available, describing which fields are on the serializer.
You can modify the response behavior to `OPTIONS` requests by overriding the `options` view method and/or by providing a custom Metadata class. For example:
def options(self, request, *args, **kwargs):
"""
Don't include the view description in OPTIONS responses.
"""
meta = self.metadata_class()
data = meta.determine_metadata(request, self)
data.pop('description')
return Response(data=data, status=status.HTTP_200_OK)
See [the Metadata docs][metadata-docs] for more details.
---
## The hypermedia approach
To be fully RESTful an API should present its available actions as hypermedia controls in the responses that it sends.
In this approach, rather than documenting the available API endpoints up front, the description instead concentrates on the *media types* that are used. The available actions that may be taken on any given URL are not strictly fixed, but are instead made available by the presence of link and form controls in the returned document.
To implement a hypermedia API you'll need to decide on an appropriate media type for the API, and implement a custom renderer and parser for that media type. The [REST, Hypermedia & HATEOAS][hypermedia-docs] section of the documentation includes pointers to background reading, as well as links to various hypermedia formats.
[cite]: https://roy.gbiv.com/untangled/2008/rest-apis-must-be-hypertext-driven
[hypermedia-docs]: rest-hypermedia-hateoas.md
[metadata-docs]: ../api-guide/metadata.md
[schemas-examples]: ../api-guide/schemas.md#examples
[image-drf-yasg]: ../img/drf-yasg.png
[image-self-describing-api]: ../img/self-describing.png
[drf-yasg]: https://github.com/axnsan12/drf-yasg/
[drf-spectacular]: https://github.com/tfranzel/drf-spectacular/
[markdown]: https://daringfireball.net/projects/markdown/syntax
[open-api]: https://openapis.org/
[redoc]: https://github.com/Rebilly/ReDoc
[swagger]: https://swagger.io/
[swagger-ui]: https://swagger.io/tools/swagger-ui/
---
# HTML & Forms
REST framework is suitable for returning both API style responses, and regular HTML pages. Additionally, serializers can be used as HTML forms and rendered in templates.
## Rendering HTML
In order to return HTML responses you'll need to use either `TemplateHTMLRenderer`, or `StaticHTMLRenderer`.
The `TemplateHTMLRenderer` class expects the response to contain a dictionary of context data, and renders an HTML page based on a template that must be specified either in the view or on the response.
The `StaticHTMLRender` class expects the response to contain a string of the pre-rendered HTML content.
Because static HTML pages typically have different behavior from API responses you'll probably need to write any HTML views explicitly, rather than relying on the built-in generic views.
Here's an example of a view that returns a list of "Profile" instances, rendered in an HTML template:
**views.py**:
from my_project.example.models import Profile
from rest_framework.renderers import TemplateHTMLRenderer
from rest_framework.response import Response
from rest_framework.views import APIView
class ProfileList(APIView):
renderer_classes = [TemplateHTMLRenderer]
template_name = 'profile_list.html'
def get(self, request):
queryset = Profile.objects.all()
return Response({'profiles': queryset})
**profile_list.html**:
Profiles
{% for profile in profiles %}
{{ profile.name }}
{% endfor %}
## Rendering Forms
Serializers may be rendered as forms by using the `render_form` template tag, and including the serializer instance as context to the template.
The following view demonstrates an example of using a serializer in a template for viewing and updating a model instance:
**views.py**:
from django.shortcuts import get_object_or_404
from my_project.example.models import Profile
from rest_framework.renderers import TemplateHTMLRenderer
from rest_framework.views import APIView
class ProfileDetail(APIView):
renderer_classes = [TemplateHTMLRenderer]
template_name = 'profile_detail.html'
def get(self, request, pk):
profile = get_object_or_404(Profile, pk=pk)
serializer = ProfileSerializer(profile)
return Response({'serializer': serializer, 'profile': profile})
def post(self, request, pk):
profile = get_object_or_404(Profile, pk=pk)
serializer = ProfileSerializer(profile, data=request.data)
if not serializer.is_valid():
return Response({'serializer': serializer, 'profile': profile})
serializer.save()
return redirect('profile-list')
**profile_detail.html**:
{% load rest_framework %}
Profile - {{ profile.name }}
{% csrf_token %}
{% render_form serializer %}
### Using template packs
The `render_form` tag takes an optional `template_pack` argument, that specifies which template directory should be used for rendering the form and form fields.
REST framework includes three built-in template packs, all based on Bootstrap 3. The built-in styles are `horizontal`, `vertical`, and `inline`. The default style is `horizontal`. To use any of these template packs you'll want to also include the Bootstrap 3 CSS.
The following HTML will link to a CDN hosted version of the Bootstrap 3 CSS:
…
Third party packages may include alternate template packs, by bundling a template directory containing the necessary form and field templates.
Let's take a look at how to render each of the three available template packs. For these examples we'll use a single serializer class to present a "Login" form.
class LoginSerializer(serializers.Serializer):
email = serializers.EmailField(
max_length=100,
style={'placeholder': 'Email', 'autofocus': True}
)
password = serializers.CharField(
max_length=100,
style={'input_type': 'password', 'placeholder': 'Password'}
)
remember_me = serializers.BooleanField()
---
#### `rest_framework/vertical`
Presents form labels above their corresponding control inputs, using the standard Bootstrap layout.
*This is the default template pack.*
{% load rest_framework %}
...

---
#### `rest_framework/horizontal`
Presents labels and controls alongside each other, using a 2/10 column split.
*This is the form style used in the browsable API and admin renderers.*
{% load rest_framework %}
...
{% csrf_token %}
{% render_form serializer %}

---
#### `rest_framework/inline`
A compact form style that presents all the controls inline.
{% load rest_framework %}
...

## Field styles
Serializer fields can have their rendering style customized by using the `style` keyword argument. This argument is a dictionary of options that control the template and layout used.
The most common way to customize the field style is to use the `base_template` style keyword argument to select which template in the template pack should be use.
For example, to render a `CharField` as an HTML textarea rather than the default HTML input, you would use something like this:
details = serializers.CharField(
max_length=1000,
style={'base_template': 'textarea.html'}
)
If you instead want a field to be rendered using a custom template that is *not part of an included template pack*, you can instead use the `template` style option, to fully specify a template name:
details = serializers.CharField(
max_length=1000,
style={'template': 'my-field-templates/custom-input.html'}
)
Field templates can also use additional style properties, depending on their type. For example, the `textarea.html` template also accepts a `rows` property that can be used to affect the sizing of the control.
details = serializers.CharField(
max_length=1000,
style={'base_template': 'textarea.html', 'rows': 10}
)
The complete list of `base_template` options and their associated style options is listed below.
base_template | Valid field types | Additional style options
-----------------------|-------------------------------------------------------------|-----------------------------------------------
input.html | Any string, numeric or date/time field | input_type, placeholder, hide_label, autofocus
textarea.html | `CharField` | rows, placeholder, hide_label
select.html | `ChoiceField` or relational field types | hide_label
radio.html | `ChoiceField` or relational field types | inline, hide_label
select_multiple.html | `MultipleChoiceField` or relational fields with `many=True` | hide_label
checkbox_multiple.html | `MultipleChoiceField` or relational fields with `many=True` | inline, hide_label
checkbox.html | `BooleanField` | hide_label
fieldset.html | Nested serializer | hide_label
list_fieldset.html | `ListField` or nested serializer with `many=True` | hide_label
---
# Internationalization
> Supporting internationalization is not optional. It must be a core feature.
>
> — [Jannis Leidel, speaking at Django Under the Hood, 2015][cite].
REST framework ships with translatable error messages. You can make these appear in your language enabling [Django's standard translation mechanisms][django-translation].
Doing so will allow you to:
* Select a language other than English as the default, using the standard `LANGUAGE_CODE` Django setting.
* Allow clients to choose a language themselves, using the `LocaleMiddleware` included with Django. A typical usage for API clients would be to include an `Accept-Language` request header.
## Enabling internationalized APIs
You can change the default language by using the standard Django `LANGUAGE_CODE` setting:
LANGUAGE_CODE = "es-es"
You can turn on per-request language requests by adding `LocalMiddleware` to your `MIDDLEWARE` setting:
MIDDLEWARE = [
...
'django.middleware.locale.LocaleMiddleware'
]
When per-request internationalization is enabled, client requests will respect the `Accept-Language` header where possible. For example, let's make a request for an unsupported media type:
**Request**
GET /api/users HTTP/1.1
Accept: application/xml
Accept-Language: es-es
Host: example.org
**Response**
HTTP/1.0 406 NOT ACCEPTABLE
{"detail": "No se ha podido satisfacer la solicitud de cabecera de Accept."}
REST framework includes these built-in translations both for standard exception cases, and for serializer validation errors.
Note that the translations only apply to the error strings themselves. The format of error messages, and the keys of field names will remain the same. An example `400 Bad Request` response body might look like this:
{"detail": {"username": ["Esse campo deve ser único."]}}
If you want to use different string for parts of the response such as `detail` and `non_field_errors` then you can modify this behavior by using a [custom exception handler][custom-exception-handler].
#### Specifying the set of supported languages.
By default all available languages will be supported.
If you only wish to support a subset of the available languages, use Django's standard `LANGUAGES` setting:
LANGUAGES = [
('de', _('German')),
('en', _('English')),
]
## Adding new translations
REST framework translations are managed on GitHub. You can contribute new translation languages or update existing ones
by following the guidelines in the [Contributing to REST Framework] section and submitting a pull request.
Sometimes you may need to add translation strings to your project locally. You may need to do this if:
* You want to use REST Framework in a language which is not supported by the project.
* Your project includes custom error messages, which are not part of REST framework's default translation strings.
#### Translating a new language locally
This guide assumes you are already familiar with how to translate a Django app. If you're not, start by reading [Django's translation docs][django-translation].
If you're translating a new language you'll need to translate the existing REST framework error messages:
1. Make a new folder where you want to store the internationalization resources. Add this path to your [`LOCALE_PATHS`][django-locale-paths] setting.
2. Now create a subfolder for the language you want to translate. The folder should be named using [locale name][django-locale-name] notation. For example: `de`, `pt_BR`, `es_AR`.
3. Now copy the [base translations file][django-po-source] from the REST framework source code into your translations folder.
4. Edit the `django.po` file you've just copied, translating all the error messages.
5. Run `manage.py compilemessages -l pt_BR` to make the translations
available for Django to use. You should see a message like `processing file django.po in <...>/locale/pt_BR/LC_MESSAGES`.
6. Restart your development server to see the changes take effect.
If you're only translating custom error messages that exist inside your project codebase you don't need to copy the REST framework source `django.po` file into a `LOCALE_PATHS` folder, and can instead simply run Django's standard `makemessages` process.
## How the language is determined
If you want to allow per-request language preferences you'll need to include `django.middleware.locale.LocaleMiddleware` in your `MIDDLEWARE` setting.
You can find more information on how the language preference is determined in the [Django documentation][django-language-preference]. For reference, the method is:
1. First, it looks for the language prefix in the requested URL.
2. Failing that, it looks for the `LANGUAGE_SESSION_KEY` key in the current user’s session.
3. Failing that, it looks for a cookie.
4. Failing that, it looks at the `Accept-Language` HTTP header.
5. Failing that, it uses the global `LANGUAGE_CODE` setting.
For API clients the most appropriate of these will typically be to use the `Accept-Language` header; Sessions and cookies will not be available unless using session authentication, and generally better practice to prefer an `Accept-Language` header for API clients rather than using language URL prefixes.
[cite]: https://youtu.be/Wa0VfS2q94Y
[Contributing to REST Framework]: ../community/contributing.md#development
[django-translation]: https://docs.djangoproject.com/en/stable/topics/i18n/translation
[custom-exception-handler]: ../api-guide/exceptions.md#custom-exception-handling
[django-po-source]: https://raw.githubusercontent.com/encode/django-rest-framework/main/rest_framework/locale/en_US/LC_MESSAGES/django.po
[django-language-preference]: https://docs.djangoproject.com/en/stable/topics/i18n/translation/#how-django-discovers-language-preference
[django-locale-paths]: https://docs.djangoproject.com/en/stable/ref/settings/#std:setting-LOCALE_PATHS
[django-locale-name]: https://docs.djangoproject.com/en/stable/topics/i18n/#term-locale-name
---
# REST, Hypermedia & HATEOAS
> You keep using that word "REST". I do not think it means what you think it means.
>
> — Mike Amundsen, [REST fest 2012 keynote][cite].
First off, the disclaimer. The name "Django REST framework" was decided back in early 2011 and was chosen simply to ensure the project would be easily found by developers. Throughout the documentation we try to use the more simple and technically correct terminology of "Web APIs".
If you are serious about designing a Hypermedia API, you should look to resources outside of this documentation to help inform your design choices.
The following fall into the "required reading" category.
* Roy Fielding's dissertation - [Architectural Styles and
the Design of Network-based Software Architectures][dissertation].
* Roy Fielding's "[REST APIs must be hypertext-driven][hypertext-driven]" blog post.
* Leonard Richardson & Mike Amundsen's [RESTful Web APIs][restful-web-apis].
* Mike Amundsen's [Building Hypermedia APIs with HTML5 and Node][building-hypermedia-apis].
* Steve Klabnik's [Designing Hypermedia APIs][designing-hypermedia-apis].
* The [Richardson Maturity Model][maturitymodel].
For a more thorough background, check out Klabnik's [Hypermedia API reading list][readinglist].
## Building Hypermedia APIs with REST framework
REST framework is an agnostic Web API toolkit. It does help guide you towards building well-connected APIs, and makes it easy to design appropriate media types, but it does not strictly enforce any particular design style.
## What REST framework provides.
It is self evident that REST framework makes it possible to build Hypermedia APIs. The browsable API that it offers is built on HTML - the hypermedia language of the web.
REST framework also includes [serialization] and [parser]/[renderer] components that make it easy to build appropriate media types, [hyperlinked relations][fields] for building well-connected systems, and great support for [content negotiation][conneg].
## What REST framework doesn't provide.
What REST framework doesn't do is give you machine readable hypermedia formats such as [HAL][hal], [Collection+JSON][collection], [JSON API][json-api] or HTML [microformats] by default, or the ability to auto-magically create fully HATEOAS style APIs that include hypermedia-based form descriptions and semantically labeled hyperlinks. Doing so would involve making opinionated choices about API design that should really remain outside of the framework's scope.
[cite]: https://vimeo.com/channels/restfest/49503453
[dissertation]: https://www.ics.uci.edu/~fielding/pubs/dissertation/top.htm
[hypertext-driven]: https://roy.gbiv.com/untangled/2008/rest-apis-must-be-hypertext-driven
[restful-web-apis]: http://restfulwebapis.org/
[building-hypermedia-apis]: https://www.amazon.com/Building-Hypermedia-APIs-HTML5-Node/dp/1449306578
[designing-hypermedia-apis]: http://designinghypermediaapis.com/
[readinglist]: http://blog.steveklabnik.com/posts/2012-02-27-hypermedia-api-reading-list
[maturitymodel]: https://martinfowler.com/articles/richardsonMaturityModel.html
[hal]: http://stateless.co/hal_specification.html
[collection]: http://www.amundsen.com/media-types/collection/
[json-api]: http://jsonapi.org/
[microformats]: http://microformats.org/wiki/Main_Page
[serialization]: ../api-guide/serializers.md
[parser]: ../api-guide/parsers.md
[renderer]: ../api-guide/renderers.md
[fields]: ../api-guide/fields.md
[conneg]: ../api-guide/content-negotiation.md
---
> To save HTTP requests, it may be convenient to send related documents along with the request.
>
> — [JSON API specification for Ember Data][cite].
# Writable nested serializers
Although flat data structures serve to properly delineate between the individual entities in your service, there are cases where it may be more appropriate or convenient to use nested data structures.
Nested data structures are easy enough to work with if they're read-only - simply nest your serializer classes and you're good to go. However, there are a few more subtleties to using writable nested serializers, due to the dependencies between the various model instances, and the need to save or delete multiple instances in a single action.
## One-to-many data structures
*Example of a **read-only** nested serializer. Nothing complex to worry about here.*
class ToDoItemSerializer(serializers.ModelSerializer):
class Meta:
model = ToDoItem
fields = ['text', 'is_completed']
class ToDoListSerializer(serializers.ModelSerializer):
items = ToDoItemSerializer(many=True, read_only=True)
class Meta:
model = ToDoList
fields = ['title', 'items']
Some example output from our serializer.
{
'title': 'Leaving party preparations',
'items': [
{'text': 'Compile playlist', 'is_completed': True},
{'text': 'Send invites', 'is_completed': False},
{'text': 'Clean house', 'is_completed': False}
]
}
Let's take a look at updating our nested one-to-many data structure.
### Validation errors
### Adding and removing items
### Making PATCH requests
[cite]: http://jsonapi.org/format/#url-based-json-api
---
# Tutorial 1: Serialization
## Introduction
This tutorial will cover creating a simple pastebin code highlighting Web API. Along the way it will introduce the various components that make up REST framework, and give you a comprehensive understanding of how everything fits together.
The tutorial is fairly in-depth, so you should probably get a cookie and a cup of your favorite brew before getting started. If you just want a quick overview, you should head over to the [quickstart] documentation instead.
!!! note
The code for this tutorial is available in the [encode/rest-framework-tutorial][repo] repository on GitHub. Feel free to clone the repository and see the code in action.
## Setting up a new environment
Before we do anything else we'll create a new virtual environment, using [venv]. This will make sure our package configuration is kept nicely isolated from any other projects we're working on.
```bash
python3 -m venv env
source env/bin/activate
```
Now that we're inside a virtual environment, we can install our package requirements.
```bash
pip install django
pip install djangorestframework
pip install pygments # We'll be using this for the code highlighting
```
!!! tip
To exit the virtual environment at any time, just type `deactivate`. For more information see the [venv documentation][venv].
## Getting started
Okay, we're ready to get coding.
To get started, let's create a new project to work with.
```bash
cd ~
django-admin startproject tutorial
cd tutorial
```
Once that's done we can create an app that we'll use to create a simple Web API.
```bash
python manage.py startapp snippets
```
We'll need to add our new `snippets` app and the `rest_framework` app to `INSTALLED_APPS`. Let's edit the `tutorial/settings.py` file:
```text
INSTALLED_APPS = [
...
'rest_framework',
'snippets',
]
```
Okay, we're ready to roll.
## Creating a model to work with
For the purposes of this tutorial we're going to start by creating a simple `Snippet` model that is used to store code snippets. Go ahead and edit the `snippets/models.py` file. Note: Good programming practices include comments. Although you will find them in our repository version of this tutorial code, we have omitted them here to focus on the code itself.
```python
from django.db import models
from pygments.lexers import get_all_lexers
from pygments.styles import get_all_styles
LEXERS = [item for item in get_all_lexers() if item[1]]
LANGUAGE_CHOICES = sorted([(item[1][0], item[0]) for item in LEXERS])
STYLE_CHOICES = sorted([(item, item) for item in get_all_styles()])
class Snippet(models.Model):
created = models.DateTimeField(auto_now_add=True)
title = models.CharField(max_length=100, blank=True, default="")
code = models.TextField()
linenos = models.BooleanField(default=False)
language = models.CharField(
choices=LANGUAGE_CHOICES, default="python", max_length=100
)
style = models.CharField(choices=STYLE_CHOICES, default="friendly", max_length=100)
class Meta:
ordering = ["created"]
```
We'll also need to create an initial migration for our snippet model, and sync the database for the first time.
```bash
python manage.py makemigrations snippets
python manage.py migrate snippets
```
## Creating a Serializer class
The first thing we need to get started on our Web API is to provide a way of serializing and deserializing the snippet instances into representations such as `json`. We can do this by declaring serializers that work very similar to Django's forms. Create a file in the `snippets` directory named `serializers.py` and add the following.
```python
from rest_framework import serializers
from snippets.models import Snippet, LANGUAGE_CHOICES, STYLE_CHOICES
class SnippetSerializer(serializers.Serializer):
id = serializers.IntegerField(read_only=True)
title = serializers.CharField(required=False, allow_blank=True, max_length=100)
code = serializers.CharField(style={"base_template": "textarea.html"})
linenos = serializers.BooleanField(required=False)
language = serializers.ChoiceField(choices=LANGUAGE_CHOICES, default="python")
style = serializers.ChoiceField(choices=STYLE_CHOICES, default="friendly")
def create(self, validated_data):
"""
Create and return a new `Snippet` instance, given the validated data.
"""
return Snippet.objects.create(**validated_data)
def update(self, instance, validated_data):
"""
Update and return an existing `Snippet` instance, given the 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
```
The first part of the serializer class defines the fields that get serialized/deserialized. The `create()` and `update()` methods define how fully fledged instances are created or modified when calling `serializer.save()`
A serializer class is very similar to a Django `Form` class, and includes similar validation flags on the various fields, such as `required`, `max_length` and `default`.
The field flags can also control how the serializer should be displayed in certain circumstances, such as when rendering to HTML. The `{'base_template': 'textarea.html'}` flag above is equivalent to using `widget=widgets.Textarea` on a Django `Form` class. This is particularly useful for controlling how the browsable API should be displayed, as we'll see later in the tutorial.
We can actually also save ourselves some time by using the `ModelSerializer` class, as we'll see later, but for now we'll keep our serializer definition explicit.
## Working with Serializers
Before we go any further we'll familiarize ourselves with using our new Serializer class. Let's drop into the Django shell.
```bash
python manage.py shell
```
Okay, once we've got a few imports out of the way, let's create a couple of code snippets to work with.
```pycon
>>> from snippets.models import Snippet
>>> from snippets.serializers import SnippetSerializer
>>> from rest_framework.renderers import JSONRenderer
>>> from rest_framework.parsers import JSONParser
>>> snippet = Snippet(code='foo = "bar"\n')
>>> snippet.save()
>>> snippet = Snippet(code='print("hello, world")\n')
>>> snippet.save()
```
We've now got a few snippet instances to play with. Let's take a look at serializing one of those instances.
```pycon
>>> serializer = SnippetSerializer(snippet)
>>> serializer.data
{'id': 2, 'title': '', 'code': 'print("hello, world")\n', 'linenos': False, 'language': 'python', 'style': 'friendly'}
```
At this point we've translated the model instance into Python native datatypes. To finalize the serialization process we render the data into `json`.
```pycon
>>> content = JSONRenderer().render(serializer.data)
>>> content
b'{"id":2,"title":"","code":"print(\\"hello, world\\")\\n","linenos":false,"language":"python","style":"friendly"}'
```
Deserialization is similar. First we parse a stream into Python native datatypes...
```pycon
>>> import io
>>> stream = io.BytesIO(content)
>>> data = JSONParser().parse(stream)
```
...then we restore those native datatypes into a fully populated object instance.
```pycon
>>> serializer = SnippetSerializer(data=data)
>>> serializer.is_valid()
True
>>> serializer.validated_data
{'title': '', 'code': 'print("hello, world")', 'linenos': False, 'language': 'python', 'style': 'friendly'}
>>> serializer.save()
```
Notice how similar the API is to working with forms. The similarity should become even more apparent when we start writing views that use our serializer.
We can also serialize querysets instead of model instances. To do so we simply add a `many=True` flag to the serializer arguments.
```pycon
>>> serializer = SnippetSerializer(Snippet.objects.all(), many=True)
>>> serializer.data
[{'id': 1, 'title': '', 'code': 'foo = "bar"\n', 'linenos': False, 'language': 'python', 'style': 'friendly'}, {'id': 2, 'title': '', 'code': 'print("hello, world")\n', 'linenos': False, 'language': 'python', 'style': 'friendly'}, {'id': 3, 'title': '', 'code': 'print("hello, world")', 'linenos': False, 'language': 'python', 'style': 'friendly'}]
```
## Using ModelSerializers
Our `SnippetSerializer` class is replicating a lot of information that's also contained in the `Snippet` model. It would be nice if we could keep our code a bit more concise.
In the same way that Django provides both `Form` classes and `ModelForm` classes, REST framework includes both `Serializer` classes, and `ModelSerializer` classes.
Let's look at refactoring our serializer using the `ModelSerializer` class.
Open the file `snippets/serializers.py` again, and replace the `SnippetSerializer` class with the following.
```python
class SnippetSerializer(serializers.ModelSerializer):
class Meta:
model = Snippet
fields = ["id", "title", "code", "linenos", "language", "style"]
```
One nice property that serializers have is that you can inspect all the fields in a serializer instance, by printing its representation. Open the Django shell with `python manage.py shell`, then try the following:
```pycon
>>> from snippets.serializers import SnippetSerializer
>>> serializer = SnippetSerializer()
>>> print(repr(serializer))
SnippetSerializer():
id = IntegerField(label='ID', read_only=True)
title = CharField(allow_blank=True, max_length=100, required=False)
code = CharField(style={'base_template': 'textarea.html'})
linenos = BooleanField(required=False)
language = ChoiceField(choices=[('Clipper', 'FoxPro'), ('Cucumber', 'Gherkin'), ('RobotFramework', 'RobotFramework'), ('abap', 'ABAP'), ('ada', 'Ada')...
style = ChoiceField(choices=[('autumn', 'autumn'), ('borland', 'borland'), ('bw', 'bw'), ('colorful', 'colorful')...
```
It's important to remember that `ModelSerializer` classes don't do anything particularly magical, they are simply a shortcut for creating serializer classes:
* An automatically determined set of fields.
* Simple default implementations for the `create()` and `update()` methods.
## Writing regular Django views using our Serializer
Let's see how we can write some API views using our new Serializer class.
For the moment we won't use any of REST framework's other features, we'll just write the views as regular Django views.
Edit the `snippets/views.py` file, and add the following.
```python
from django.http import HttpResponse, JsonResponse
from django.views.decorators.csrf import csrf_exempt
from rest_framework.parsers import JSONParser
from snippets.models import Snippet
from snippets.serializers import SnippetSerializer
```
The root of our API is going to be a view that supports listing all the existing snippets, or creating a new snippet.
```python
@csrf_exempt
def snippet_list(request):
"""
List all code snippets, or create a new snippet.
"""
if request.method == "GET":
snippets = Snippet.objects.all()
serializer = SnippetSerializer(snippets, many=True)
return JsonResponse(serializer.data, safe=False)
elif request.method == "POST":
data = JSONParser().parse(request)
serializer = SnippetSerializer(data=data)
if serializer.is_valid():
serializer.save()
return JsonResponse(serializer.data, status=201)
return JsonResponse(serializer.errors, status=400)
```
Note that because we want to be able to POST to this view from clients that won't have a CSRF token we need to mark the view as `csrf_exempt`. This isn't something that you'd normally want to do, and REST framework views actually use more sensible behavior than this, but it'll do for our purposes right now.
We'll also need a view which corresponds to an individual snippet, and can be used to retrieve, update or delete the snippet.
```python
@csrf_exempt
def snippet_detail(request, pk):
"""
Retrieve, update or delete a code snippet.
"""
try:
snippet = Snippet.objects.get(pk=pk)
except Snippet.DoesNotExist:
return HttpResponse(status=404)
if request.method == "GET":
serializer = SnippetSerializer(snippet)
return JsonResponse(serializer.data)
elif request.method == "PUT":
data = JSONParser().parse(request)
serializer = SnippetSerializer(snippet, data=data)
if serializer.is_valid():
serializer.save()
return JsonResponse(serializer.data)
return JsonResponse(serializer.errors, status=400)
elif request.method == "DELETE":
snippet.delete()
return HttpResponse(status=204)
```
Finally we need to wire these views up. Create the `snippets/urls.py` file:
```python
from django.urls import path
from snippets import views
urlpatterns = [
path("snippets/", views.snippet_list),
path("snippets//", views.snippet_detail),
]
```
We also need to wire up the root urlconf, in the `tutorial/urls.py` file, to include our snippet app's URLs.
```python
from django.urls import path, include
urlpatterns = [
path("", include("snippets.urls")),
]
```
It's worth noting that there are a couple of edge cases we're not dealing with properly at the moment. If we send malformed `json`, or if a request is made with a method that the view doesn't handle, then we'll end up with a 500 "server error" response. Still, this'll do for now.
## Testing our first attempt at a Web API
Now we can start up a sample server that serves our snippets.
Quit out of the shell...
```pycon
>>> quit()
```
...and start up Django's development server.
```bash
python manage.py runserver
Validating models...
0 errors found
Django version 5.0, using settings 'tutorial.settings'
Starting Development server at http://127.0.0.1:8000/
Quit the server with CONTROL-C.
```
In another terminal window, we can test the server.
We can test our API using [curl][curl] or [httpie][httpie]. Httpie is a user friendly http client that's written in Python. Let's install that.
You can install httpie using pip:
```bash
pip install httpie
```
Finally, we can get a list of all of the snippets:
```bash
http GET http://127.0.0.1:8000/snippets/ --unsorted
HTTP/1.1 200 OK
...
[
{
"id": 1,
"title": "",
"code": "foo = \"bar\"\n",
"linenos": false,
"language": "python",
"style": "friendly"
},
{
"id": 2,
"title": "",
"code": "print(\"hello, world\")\n",
"linenos": false,
"language": "python",
"style": "friendly"
},
{
"id": 3,
"title": "",
"code": "print(\"hello, world\")",
"linenos": false,
"language": "python",
"style": "friendly"
}
]
```
Or we can get a particular snippet by referencing its id:
```bash
http GET http://127.0.0.1:8000/snippets/2/ --unsorted
HTTP/1.1 200 OK
...
{
"id": 2,
"title": "",
"code": "print(\"hello, world\")\n",
"linenos": false,
"language": "python",
"style": "friendly"
}
```
Similarly, you can have the same json displayed by visiting these URLs in a web browser.
## Where are we now
We're doing okay so far, we've got a serialization API that feels pretty similar to Django's Forms API, and some regular Django views.
Our API views don't do anything particularly special at the moment, beyond serving `json` responses, and there are some error handling edge cases we'd still like to clean up, but it's a functioning Web API.
We'll see how we can start to improve things in [part 2 of the tutorial][tut-2].
[quickstart]: quickstart.md
[repo]: https://github.com/encode/rest-framework-tutorial
[venv]: https://docs.python.org/3/library/venv.html
[tut-2]: 2-requests-and-responses.md
[httpie]: https://github.com/httpie/httpie#installation
[curl]: https://curl.haxx.se/
---
# Tutorial 2: Requests and Responses
From this point we're going to really start covering the core of REST framework.
Let's introduce a couple of essential building blocks.
## Request objects
REST framework introduces a `Request` object that extends the regular `HttpRequest`, and provides more flexible request parsing. The core functionality of the `Request` object is the `request.data` attribute, which is similar to `request.POST`, but more useful for working with Web APIs.
```python
request.POST # Only handles form data. Only works for 'POST' method.
request.data # Handles arbitrary data. Works for 'POST', 'PUT' and 'PATCH' methods.
```
## Response objects
REST framework also introduces a `Response` object, which is a type of `TemplateResponse` that takes unrendered content and uses content negotiation to determine the correct content type to return to the client.
```python
return Response(data) # Renders to content type as requested by the client.
```
## Status codes
Using numeric HTTP status codes in your views doesn't always make for obvious reading, and it's easy to not notice if you get an error code wrong. REST framework provides more explicit identifiers for each status code, such as `HTTP_400_BAD_REQUEST` in the `status` module. It's a good idea to use these throughout rather than using numeric identifiers.
## Wrapping API views
REST framework provides two wrappers you can use to write API views.
1. The `@api_view` decorator for working with function based views.
2. The `APIView` class for working with class-based views.
These wrappers provide a few bits of functionality such as making sure you receive `Request` instances in your view, and adding context to `Response` objects so that content negotiation can be performed.
The wrappers also provide behavior such as returning `405 Method Not Allowed` responses when appropriate, and handling any `ParseError` exceptions that occur when accessing `request.data` with malformed input.
## Pulling it all together
Okay, let's go ahead and start using these new components to refactor our views slightly.
```python
from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
from snippets.models import Snippet
from snippets.serializers import SnippetSerializer
@api_view(["GET", "POST"])
def snippet_list(request):
"""
List all code snippets, or create a new snippet.
"""
if request.method == "GET":
snippets = Snippet.objects.all()
serializer = SnippetSerializer(snippets, many=True)
return Response(serializer.data)
elif request.method == "POST":
serializer = SnippetSerializer(data=request.data)
if serializer.is_valid():
serializer.save()
return Response(serializer.data, status=status.HTTP_201_CREATED)
return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST)
```
Our instance view is an improvement over the previous example. It's a little more concise, and the code now feels very similar to if we were working with the Forms API. We're also using named status codes, which makes the response meanings more obvious.
Here is the view for an individual snippet, in the `views.py` module.
```python
@api_view(["GET", "PUT", "DELETE"])
def snippet_detail(request, pk):
"""
Retrieve, update or delete a code snippet.
"""
try:
snippet = Snippet.objects.get(pk=pk)
except Snippet.DoesNotExist:
return Response(status=status.HTTP_404_NOT_FOUND)
if request.method == "GET":
serializer = SnippetSerializer(snippet)
return Response(serializer.data)
elif request.method == "PUT":
serializer = SnippetSerializer(snippet, data=request.data)
if serializer.is_valid():
serializer.save()
return Response(serializer.data)
return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST)
elif request.method == "DELETE":
snippet.delete()
return Response(status=status.HTTP_204_NO_CONTENT)
```
This should all feel very familiar - it is not a lot different from working with regular Django views.
Notice that we're no longer explicitly tying our requests or responses to a given content type. `request.data` can handle incoming `json` requests, but it can also handle other formats. Similarly we're returning response objects with data, but allowing REST framework to render the response into the correct content type for us.
## Adding optional format suffixes to our URLs
To take advantage of the fact that our responses are no longer hardwired to a single content type let's add support for format suffixes to our API endpoints. Using format suffixes gives us URLs that explicitly refer to a given format, and means our API will be able to handle URLs such as [][json-url].
Start by adding a `format` keyword argument to both of the views, like so.
`def snippet_list(request, format=None):`
and
`def snippet_detail(request, pk, format=None):`
Now update the `snippets/urls.py` file slightly, to append a set of `format_suffix_patterns` in addition to the existing URLs.
```python
from django.urls import path
from rest_framework.urlpatterns import format_suffix_patterns
from snippets import views
urlpatterns = [
path("snippets/", views.snippet_list),
path("snippets//", views.snippet_detail),
]
urlpatterns = format_suffix_patterns(urlpatterns)
```
We don't necessarily need to add these extra url patterns in, but it gives us a simple, clean way of referring to a specific format.
## How's it looking?
Go ahead and test the API from the command line, as we did in [tutorial part 1][tut-1]. Everything is working pretty similarly, although we've got some nicer error handling if we send invalid requests.
We can get a list of all of the snippets, as before.
```bash
http http://127.0.0.1:8000/snippets/
HTTP/1.1 200 OK
...
[
{
"id": 1,
"title": "",
"code": "foo = \"bar\"\n",
"linenos": false,
"language": "python",
"style": "friendly"
},
{
"id": 2,
"title": "",
"code": "print(\"hello, world\")\n",
"linenos": false,
"language": "python",
"style": "friendly"
}
]
```
We can control the format of the response that we get back, either by using the `Accept` header:
```bash
http http://127.0.0.1:8000/snippets/ Accept:application/json # Request JSON
http http://127.0.0.1:8000/snippets/ Accept:text/html # Request HTML
```
Or by appending a format suffix:
```bash
http http://127.0.0.1:8000/snippets.json # JSON suffix
http http://127.0.0.1:8000/snippets.api # Browsable API suffix
```
Similarly, we can control the format of the request that we send, using the `Content-Type` header.
```bash
# POST using form data
http --form POST http://127.0.0.1:8000/snippets/ code="print(123)"
{
"id": 3,
"title": "",
"code": "print(123)",
"linenos": false,
"language": "python",
"style": "friendly"
}
# POST using JSON
http --json POST http://127.0.0.1:8000/snippets/ code="print(456)"
{
"id": 4,
"title": "",
"code": "print(456)",
"linenos": false,
"language": "python",
"style": "friendly"
}
```
If you add a `--debug` switch to the `http` requests above, you will be able to see the request type in request headers.
Now go and open the API in a web browser, by visiting [][devserver].
### Browsability
Because the API chooses the content type of the response based on the client request, it will, by default, return an HTML-formatted representation of the resource when that resource is requested by a web browser. This allows for the API to return a fully web-browsable HTML representation.
Having a web-browsable API is a huge usability win, and makes developing and using your API much easier. It also dramatically lowers the barrier-to-entry for other developers wanting to inspect and work with your API.
See the [browsable api][browsable-api] topic for more information about the browsable API feature and how to customize it.
## What's next?
In [tutorial part 3][tut-3], we'll start using class-based views, and see how generic views reduce the amount of code we need to write.
[json-url]: http://example.com/api/items/4.json
[devserver]: http://127.0.0.1:8000/snippets/
[browsable-api]: ../topics/browsable-api.md
[tut-1]: 1-serialization.md
[tut-3]: 3-class-based-views.md
---
# Tutorial 3: Class-based Views
We can also write our API views using class-based views, rather than function based views. As we'll see this is a powerful pattern that allows us to reuse common functionality, and helps us keep our code [DRY][dry].
## Rewriting our API using class-based views
We'll start by rewriting the root view as a class-based view. All this involves is a little bit of refactoring of `views.py`.
```python
from snippets.models import Snippet
from snippets.serializers import SnippetSerializer
from django.http import Http404
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
class SnippetList(APIView):
"""
List all snippets, or create a new snippet.
"""
def get(self, request, format=None):
snippets = Snippet.objects.all()
serializer = SnippetSerializer(snippets, many=True)
return Response(serializer.data)
def post(self, request, format=None):
serializer = SnippetSerializer(data=request.data)
if serializer.is_valid():
serializer.save()
return Response(serializer.data, status=status.HTTP_201_CREATED)
return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST)
```
So far, so good. It looks pretty similar to the previous case, but we've got better separation between the different HTTP methods. We'll also need to update the instance view in `views.py`.
```python
class SnippetDetail(APIView):
"""
Retrieve, update or delete a snippet instance.
"""
def get_object(self, pk):
try:
return Snippet.objects.get(pk=pk)
except Snippet.DoesNotExist:
raise Http404
def get(self, request, pk, format=None):
snippet = self.get_object(pk)
serializer = SnippetSerializer(snippet)
return Response(serializer.data)
def put(self, request, pk, format=None):
snippet = self.get_object(pk)
serializer = SnippetSerializer(snippet, data=request.data)
if serializer.is_valid():
serializer.save()
return Response(serializer.data)
return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST)
def delete(self, request, pk, format=None):
snippet = self.get_object(pk)
snippet.delete()
return Response(status=status.HTTP_204_NO_CONTENT)
```
That's looking good. Again, it's still pretty similar to the function based view right now.
We'll also need to refactor our `snippets/urls.py` slightly now that we're using class-based views.
```python
from django.urls import path
from rest_framework.urlpatterns import format_suffix_patterns
from snippets import views
urlpatterns = [
path("snippets/", views.SnippetList.as_view()),
path("snippets//", views.SnippetDetail.as_view()),
]
urlpatterns = format_suffix_patterns(urlpatterns)
```
Okay, we're done. If you run the development server everything should be working just as before.
## Using mixins
One of the big wins of using class-based views is that it allows us to easily compose reusable bits of behavior.
The create/retrieve/update/delete operations that we've been using so far are going to be pretty similar for any model-backed API views we create. Those bits of common behavior are implemented in REST framework's mixin classes.
Let's take a look at how we can compose the views by using the mixin classes. Here's our `views.py` module again.
```python
from snippets.models import Snippet
from snippets.serializers import SnippetSerializer
from rest_framework import mixins
from rest_framework import generics
class SnippetList(
mixins.ListModelMixin, mixins.CreateModelMixin, generics.GenericAPIView
):
queryset = Snippet.objects.all()
serializer_class = SnippetSerializer
def get(self, request, *args, **kwargs):
return self.list(request, *args, **kwargs)
def post(self, request, *args, **kwargs):
return self.create(request, *args, **kwargs)
```
We'll take a moment to examine exactly what's happening here. We're building our view using `GenericAPIView`, and adding in `ListModelMixin` and `CreateModelMixin`.
The base class provides the core functionality, and the mixin classes provide the `.list()` and `.create()` actions. We're then explicitly binding the `get` and `post` methods to the appropriate actions. Simple enough stuff so far.
```python
class SnippetDetail(
mixins.RetrieveModelMixin,
mixins.UpdateModelMixin,
mixins.DestroyModelMixin,
generics.GenericAPIView,
):
queryset = Snippet.objects.all()
serializer_class = SnippetSerializer
def get(self, request, *args, **kwargs):
return self.retrieve(request, *args, **kwargs)
def put(self, request, *args, **kwargs):
return self.update(request, *args, **kwargs)
def delete(self, request, *args, **kwargs):
return self.destroy(request, *args, **kwargs)
```
Pretty similar. Again we're using the `GenericAPIView` class to provide the core functionality, and adding in mixins to provide the `.retrieve()`, `.update()` and `.destroy()` actions.
## Using generic class-based views
Using the mixin classes we've rewritten the views to use slightly less code than before, but we can go one step further. REST framework provides a set of already mixed-in generic views that we can use to trim down our `views.py` module even more.
```python
from snippets.models import Snippet
from snippets.serializers import SnippetSerializer
from rest_framework import generics
class SnippetList(generics.ListCreateAPIView):
queryset = Snippet.objects.all()
serializer_class = SnippetSerializer
class SnippetDetail(generics.RetrieveUpdateDestroyAPIView):
queryset = Snippet.objects.all()
serializer_class = SnippetSerializer
```
Wow, that's pretty concise. We've gotten a huge amount for free, and our code looks like good, clean, idiomatic Django.
Next we'll move onto [part 4 of the tutorial][tut-4], where we'll take a look at how we can deal with authentication and permissions for our API.
[dry]: https://en.wikipedia.org/wiki/Don't_repeat_yourself
[tut-4]: 4-authentication-and-permissions.md
---
# Tutorial 4: Authentication & Permissions
Currently our API doesn't have any restrictions on who can edit or delete code snippets. We'd like to have some more advanced behavior in order to make sure that:
* Code snippets are always associated with a creator.
* Only authenticated users may create snippets.
* Only the creator of a snippet may update or delete it.
* Unauthenticated requests should have full read-only access.
## Adding information to our model
We're going to make a couple of changes to our `Snippet` model class.
First, let's add a couple of fields. One of those fields will be used to represent the user who created the code snippet. The other field will be used to store the highlighted HTML representation of the code.
Add the following two fields to the `Snippet` model in `models.py`.
```python
owner = models.ForeignKey(
"auth.User", related_name="snippets", on_delete=models.CASCADE
)
highlighted = models.TextField()
```
We'd also need to make sure that when the model is saved, that we populate the highlighted field, using the `pygments` code highlighting library.
We'll need some extra imports:
```python
from pygments.lexers import get_lexer_by_name
from pygments.formatters.html import HtmlFormatter
from pygments import highlight
```
And now we can add a `.save()` method to our model class:
```python
def save(self, *args, **kwargs):
"""
Use the `pygments` library to create a highlighted HTML
representation of the code snippet.
"""
lexer = get_lexer_by_name(self.language)
linenos = "table" if self.linenos else False
options = {"title": self.title} if self.title else {}
formatter = HtmlFormatter(style=self.style, linenos=linenos, full=True, **options)
self.highlighted = highlight(self.code, lexer, formatter)
super().save(*args, **kwargs)
```
When that's all done we'll need to update our database tables.
Normally we'd create a database migration in order to do that, but for the purposes of this tutorial, let's just delete the database and start again.
```bash
rm -f db.sqlite3
rm -r snippets/migrations
python manage.py makemigrations snippets
python manage.py migrate
```
You might also want to create a few different users, to use for testing the API. The quickest way to do this will be with the `createsuperuser` command.
```bash
python manage.py createsuperuser
```
## Adding endpoints for our User models
Now that we've got some users to work with, we'd better add representations of those users to our API. Creating a new serializer is easy. In `serializers.py` add:
```python
from django.contrib.auth.models import User
class UserSerializer(serializers.ModelSerializer):
snippets = serializers.PrimaryKeyRelatedField(
many=True, queryset=Snippet.objects.all()
)
class Meta:
model = User
fields = ["id", "username", "snippets"]
```
Because `'snippets'` is a *reverse* relationship on the User model, it will not be included by default when using the `ModelSerializer` class, so we needed to add an explicit field for it.
We'll also add a couple of views to `views.py`. We'd like to just use read-only views for the user representations, so we'll use the `ListAPIView` and `RetrieveAPIView` generic class-based views.
```python
from django.contrib.auth.models import User
class UserList(generics.ListAPIView):
queryset = User.objects.all()
serializer_class = UserSerializer
class UserDetail(generics.RetrieveAPIView):
queryset = User.objects.all()
serializer_class = UserSerializer
```
Make sure to also import the `UserSerializer` class
```python
from snippets.serializers import UserSerializer
```
Finally we need to add those views into the API, by referencing them from the URL conf. Add the following to the patterns in `snippets/urls.py`.
```python
path("users/", views.UserList.as_view()),
path("users//", views.UserDetail.as_view()),
```
## Associating Snippets with Users
Right now, if we created a code snippet, there'd be no way of associating the user that created the snippet, with the snippet instance. The user isn't sent as part of the serialized representation, but is instead a property of the incoming request.
The way we deal with that is by overriding a `.perform_create()` method on our snippet views, that allows us to modify how the instance save is managed, and handle any information that is implicit in the incoming request or requested URL.
On the `SnippetList` view class, add the following method:
```python
def perform_create(self, serializer):
serializer.save(owner=self.request.user)
```
The `create()` method of our serializer will now be passed an additional `'owner'` field, along with the validated data from the request.
## Updating our serializer
Now that snippets are associated with the user that created them, let's update our `SnippetSerializer` to reflect that. Add the following field to the serializer definition in `serializers.py`:
```python
owner = serializers.ReadOnlyField(source="owner.username")
```
!!! note
Make sure you also add `'owner',` to the list of fields in the inner `Meta` class.
This field is doing something quite interesting. The `source` argument controls which attribute is used to populate a field, and can point at any attribute on the serialized instance. It can also take the dotted notation shown above, in which case it will traverse the given attributes, in a similar way as it is used with Django's template language.
The field we've added is the untyped `ReadOnlyField` class, in contrast to the other typed fields, such as `CharField`, `BooleanField` etc... The untyped `ReadOnlyField` is always read-only, and will be used for serialized representations, but will not be used for updating model instances when they are deserialized. We could have also used `CharField(read_only=True)` here.
## Adding required permissions to views
Now that code snippets are associated with users, we want to make sure that only authenticated users are able to create, update and delete code snippets.
REST framework includes a number of permission classes that we can use to restrict who can access a given view. In this case the one we're looking for is `IsAuthenticatedOrReadOnly`, which will ensure that authenticated requests get read-write access, and unauthenticated requests get read-only access.
First add the following import in the views module
```python
from rest_framework import permissions
```
Then, add the following property to **both** the `SnippetList` and `SnippetDetail` view classes.
```python
permission_classes = [permissions.IsAuthenticatedOrReadOnly]
```
## Adding login to the Browsable API
If you open a browser and navigate to the browsable API at the moment, you'll find that you're no longer able to create new code snippets. In order to do so we'd need to be able to login as a user.
We can add a login view for use with the browsable API, by editing the URLconf in our project-level `urls.py` file.
Add the following import at the top of the file:
```python
from django.urls import path, include
```
And, at the end of the file, add a pattern to include the login and logout views for the browsable API.
```python
urlpatterns += [
path("api-auth/", include("rest_framework.urls")),
]
```
The `'api-auth/'` part of pattern can actually be whatever URL you want to use.
Now if you open up the browser again and refresh the page you'll see a 'Login' link in the top right of the page. If you log in as one of the users you created earlier, you'll be able to create code snippets again.
Once you've created a few code snippets, navigate to the '/users/' endpoint, and notice that the representation includes a list of the snippet ids that are associated with each user, in each user's 'snippets' field.
## Object level permissions
Really we'd like all code snippets to be visible to anyone, but also make sure that only the user that created a code snippet is able to update or delete it.
To do that we're going to need to create a custom permission.
In the snippets app, create a new file, `permissions.py`
```python
from rest_framework import permissions
class IsOwnerOrReadOnly(permissions.BasePermission):
"""
Custom permission to only allow owners of an object to edit it.
"""
def has_object_permission(self, request, view, obj):
# Read permissions are allowed to any request,
# so we'll always allow GET, HEAD or OPTIONS requests.
if request.method in permissions.SAFE_METHODS:
return True
# Write permissions are only allowed to the owner of the snippet.
return obj.owner == request.user
```
Now we can add that custom permission to our snippet instance endpoint, by editing the `permission_classes` property on the `SnippetDetail` view class:
```python
permission_classes = [permissions.IsAuthenticatedOrReadOnly, IsOwnerOrReadOnly]
```
Make sure to also import the `IsOwnerOrReadOnly` class.
```python
from snippets.permissions import IsOwnerOrReadOnly
```
Now, if you open a browser again, you find that the 'DELETE' and 'PUT' actions only appear on a snippet instance endpoint if you're logged in as the same user that created the code snippet.
## Authenticating with the API
Because we now have a set of permissions on the API, we need to authenticate our requests to it if we want to edit any snippets. We haven't set up any [authentication classes][authentication], so the defaults are currently applied, which are `SessionAuthentication` and `BasicAuthentication`.
When we interact with the API through the web browser, we can login, and the browser session will then provide the required authentication for the requests.
If we're interacting with the API programmatically we need to explicitly provide the authentication credentials on each request.
If we try to create a snippet without authenticating, we'll get an error:
```bash
http POST http://127.0.0.1:8000/snippets/ code="print(123)"
{
"detail": "Authentication credentials were not provided."
}
```
We can make a successful request by including the username and password of one of the users we created earlier.
```bash
http -a admin:password123 POST http://127.0.0.1:8000/snippets/ code="print(789)"
{
"id": 1,
"owner": "admin",
"title": "foo",
"code": "print(789)",
"linenos": false,
"language": "python",
"style": "friendly"
}
```
## Summary
We've now got a fairly fine-grained set of permissions on our Web API, and end points for users of the system and for the code snippets that they have created.
In [part 5][tut-5] of the tutorial we'll look at how we can tie everything together by creating an HTML endpoint for our highlighted snippets, and improve the cohesion of our API by using hyperlinking for the relationships within the system.
[authentication]: ../api-guide/authentication.md
[tut-5]: 5-relationships-and-hyperlinked-apis.md
---
# Tutorial 5: Relationships & Hyperlinked APIs
At the moment relationships within our API are represented by using primary keys. In this part of the tutorial we'll improve the cohesion and discoverability of our API, by instead using hyperlinking for relationships.
## Creating an endpoint for the root of our API
Right now we have endpoints for 'snippets' and 'users', but we don't have a single entry point to our API. To create one, we'll use a regular function-based view and the `@api_view` decorator we introduced earlier. In your `snippets/views.py` add:
```python
from rest_framework.decorators import api_view
from rest_framework.response import Response
from rest_framework.reverse import reverse
@api_view(["GET"])
def api_root(request, format=None):
return Response(
{
"users": reverse("user-list", request=request, format=format),
"snippets": reverse("snippet-list", request=request, format=format),
}
)
```
Two things should be noticed here. First, we're using REST framework's `reverse` function in order to return fully-qualified URLs; second, URL patterns are identified by convenience names that we will declare later on in our `snippets/urls.py`.
## Creating an endpoint for the highlighted snippets
The other obvious thing that's still missing from our pastebin API is the code highlighting endpoints.
Unlike all our other API endpoints, we don't want to use JSON, but instead just present an HTML representation. There are two styles of HTML renderer provided by REST framework, one for dealing with HTML rendered using templates, the other for dealing with pre-rendered HTML. The second renderer is the one we'd like to use for this endpoint.
The other thing we need to consider when creating the code highlight view is that there's no existing concrete generic view that we can use. We're not returning an object instance, but instead a property of an object instance.
Instead of using a concrete generic view, we'll use the base class for representing instances, and create our own `.get()` method. In your `snippets/views.py` add:
```python
from rest_framework import renderers
class SnippetHighlight(generics.GenericAPIView):
queryset = Snippet.objects.all()
renderer_classes = [renderers.StaticHTMLRenderer]
def get(self, request, *args, **kwargs):
snippet = self.get_object()
return Response(snippet.highlighted)
```
As usual we need to add the new views that we've created in to our URLconf.
We'll add a url pattern for our new API root in `snippets/urls.py`:
```python
path("", views.api_root),
```
And then add a url pattern for the snippet highlights:
```python
path("snippets//highlight/", views.SnippetHighlight.as_view()),
```
## Hyperlinking our API
Dealing with relationships between entities is one of the more challenging aspects of Web API design. There are a number of different ways that we might choose to represent a relationship:
* Using primary keys.
* Using hyperlinking between entities.
* Using a unique identifying slug field on the related entity.
* Using the default string representation of the related entity.
* Nesting the related entity inside the parent representation.
* Some other custom representation.
REST framework supports all of these styles, and can apply them across forward or reverse relationships, or apply them across custom managers such as generic foreign keys.
In this case we'd like to use a hyperlinked style between entities. In order to do so, we'll modify our serializers to extend `HyperlinkedModelSerializer` instead of the existing `ModelSerializer`.
The `HyperlinkedModelSerializer` has the following differences from `ModelSerializer`:
* It does not include the `id` field by default.
* It includes a `url` field, using `HyperlinkedIdentityField`.
* Relationships use `HyperlinkedRelatedField`,
instead of `PrimaryKeyRelatedField`.
We can easily re-write our existing serializers to use hyperlinking. In your `snippets/serializers.py` add:
```python
class SnippetSerializer(serializers.HyperlinkedModelSerializer):
owner = serializers.ReadOnlyField(source="owner.username")
highlight = serializers.HyperlinkedIdentityField(
view_name="snippet-highlight", format="html"
)
class Meta:
model = Snippet
fields = [
"url",
"id",
"highlight",
"owner",
"title",
"code",
"linenos",
"language",
"style",
]
class UserSerializer(serializers.HyperlinkedModelSerializer):
snippets = serializers.HyperlinkedRelatedField(
many=True, view_name="snippet-detail", read_only=True
)
class Meta:
model = User
fields = ["url", "id", "username", "snippets"]
```
Notice that we've also added a new `'highlight'` field. This field is of the same type as the `url` field, except that it points to the `'snippet-highlight'` url pattern, instead of the `'snippet-detail'` url pattern.
Because we've included format suffixed URLs such as `'.json'`, we also need to indicate on the `highlight` field that any format suffixed hyperlinks it returns should use the `'.html'` suffix.
!!! note
When you are manually instantiating these serializers inside your views (e.g., in `SnippetDetail` or `SnippetList`), you **must** pass `context={'request': request}` so the serializer knows how to build absolute URLs. For example, instead of:
serializer = SnippetSerializer(snippet)
You must write:
serializer = SnippetSerializer(snippet, context={"request": request})
If your view is a subclass of `GenericAPIView`, you may use the `get_serializer_context()` as a convenience method.
## Making sure our URL patterns are named
If we're going to have a hyperlinked API, we need to make sure we name our URL patterns. Let's take a look at which URL patterns we need to name.
* The root of our API refers to `'user-list'` and `'snippet-list'`.
* Our snippet serializer includes a field that refers to `'snippet-highlight'`.
* Our user serializer includes a field that refers to `'snippet-detail'`.
* Our snippet and user serializers include `'url'` fields that by default will refer to `'{model_name}-detail'`, which in this case will be `'snippet-detail'` and `'user-detail'`.
After adding all those names into our URLconf, our final `snippets/urls.py` file should look like this:
```python
from django.urls import path
from rest_framework.urlpatterns import format_suffix_patterns
from snippets import views
# API endpoints
urlpatterns = format_suffix_patterns(
[
path("", views.api_root),
path("snippets/", views.SnippetList.as_view(), name="snippet-list"),
path(
"snippets//", views.SnippetDetail.as_view(), name="snippet-detail"
),
path(
"snippets//highlight/",
views.SnippetHighlight.as_view(),
name="snippet-highlight",
),
path("users/", views.UserList.as_view(), name="user-list"),
path("users//", views.UserDetail.as_view(), name="user-detail"),
]
)
```
## Adding pagination
The list views for users and code snippets could end up returning quite a lot of instances, so really we'd like to make sure we paginate the results, and allow the API client to step through each of the individual pages.
We can change the default list style to use pagination, by modifying our `tutorial/settings.py` file slightly. Add the following setting:
```python
REST_FRAMEWORK = {
"DEFAULT_PAGINATION_CLASS": "rest_framework.pagination.PageNumberPagination",
"PAGE_SIZE": 10,
}
```
Note that settings in REST framework are all namespaced into a single dictionary setting, named `REST_FRAMEWORK`, which helps keep them well separated from your other project settings.
We could also customize the pagination style if we needed to, but in this case we'll just stick with the default.
## Browsing the API
If we open a browser and navigate to the browsable API, you'll find that you can now work your way around the API simply by following links.
You'll also be able to see the 'highlight' links on the snippet instances, that will take you to the highlighted code HTML representations.
In [part 6][tut-6] of the tutorial we'll look at how we can use ViewSets and Routers to reduce the amount of code we need to build our API.
[tut-6]: 6-viewsets-and-routers.md
---
# Tutorial 6: ViewSets & Routers
REST framework includes an abstraction for dealing with `ViewSets`, that allows the developer to concentrate on modeling the state and interactions of the API, and leave the URL construction to be handled automatically, based on common conventions.
`ViewSet` classes are almost the same thing as `View` classes, except that they provide operations such as `retrieve`, or `update`, and not method handlers such as `get` or `put`.
A `ViewSet` class is only bound to a set of method handlers at the last moment, when it is instantiated into a set of views, typically by using a `Router` class which handles the complexities of defining the URL conf for you.
## Refactoring to use ViewSets
Let's take our current set of views, and refactor them into view sets.
First of all let's refactor our `UserList` and `UserDetail` classes into a single `UserViewSet` class. In the `snippets/views.py` file, we can remove the two view classes and replace them with a single ViewSet class:
```python
from rest_framework import viewsets
class UserViewSet(viewsets.ReadOnlyModelViewSet):
"""
This viewset automatically provides `list` and `retrieve` actions.
"""
queryset = User.objects.all()
serializer_class = UserSerializer
```
Here we've used the `ReadOnlyModelViewSet` class to automatically provide the default 'read-only' operations. We're still setting the `queryset` and `serializer_class` attributes exactly as we did when we were using regular views, but we no longer need to provide the same information to two separate classes.
Next we're going to replace the `SnippetList`, `SnippetDetail` and `SnippetHighlight` view classes. We can remove the three views, and again replace them with a single class.
```python
from rest_framework import permissions
from rest_framework import renderers
from rest_framework.decorators import action
from rest_framework.response import Response
class SnippetViewSet(viewsets.ModelViewSet):
"""
This ViewSet automatically provides `list`, `create`, `retrieve`,
`update` and `destroy` actions.
Additionally we also provide an extra `highlight` action.
"""
queryset = Snippet.objects.all()
serializer_class = SnippetSerializer
permission_classes = [permissions.IsAuthenticatedOrReadOnly, IsOwnerOrReadOnly]
@action(detail=True, renderer_classes=[renderers.StaticHTMLRenderer])
def highlight(self, request, *args, **kwargs):
snippet = self.get_object()
return Response(snippet.highlighted)
def perform_create(self, serializer):
serializer.save(owner=self.request.user)
```
This time we've used the `ModelViewSet` class in order to get the complete set of default read and write operations.
Notice that we've also used the `@action` decorator to create a custom action, named `highlight`. This decorator can be used to add any custom endpoints that don't fit into the standard `create`/`update`/`delete` style.
Custom actions which use the `@action` decorator will respond to `GET` requests by default. We can use the `methods` argument if we wanted an action that responded to `POST` requests.
The URLs for custom actions by default depend on the method name itself. If you want to change the way url should be constructed, you can include `url_path` as a decorator keyword argument.
## Binding ViewSets to URLs explicitly
The handler methods only get bound to the actions when we define the URLConf.
To see what's going on under the hood let's first explicitly create a set of views from our ViewSets.
In the `snippets/urls.py` file we bind our `ViewSet` classes into a set of concrete views.
```python
from rest_framework import renderers
from snippets.views import api_root, SnippetViewSet, UserViewSet
snippet_list = SnippetViewSet.as_view({"get": "list", "post": "create"})
snippet_detail = SnippetViewSet.as_view(
{"get": "retrieve", "put": "update", "patch": "partial_update", "delete": "destroy"}
)
snippet_highlight = SnippetViewSet.as_view(
{"get": "highlight"}, renderer_classes=[renderers.StaticHTMLRenderer]
)
user_list = UserViewSet.as_view({"get": "list"})
user_detail = UserViewSet.as_view({"get": "retrieve"})
```
Notice how we're creating multiple views from each `ViewSet` class, by binding the HTTP methods to the required action for each view.
Now that we've bound our resources into concrete views, we can register the views with the URL conf as usual.
```python
urlpatterns = format_suffix_patterns(
[
path("", api_root),
path("snippets/", snippet_list, name="snippet-list"),
path("snippets//", snippet_detail, name="snippet-detail"),
path(
"snippets//highlight/", snippet_highlight, name="snippet-highlight"
),
path("users/", user_list, name="user-list"),
path("users//", user_detail, name="user-detail"),
]
)
```
## Using Routers
Because we're using `ViewSet` classes rather than `View` classes, we actually don't need to design the URL conf ourselves. The conventions for wiring up resources into views and urls can be handled automatically, using a `Router` class. All we need to do is register the appropriate view sets with a router, and let it do the rest.
Here's our re-wired `snippets/urls.py` file.
```python
from django.urls import path, include
from rest_framework.routers import DefaultRouter
from snippets import views
# Create a router and register our ViewSets with it.
router = DefaultRouter()
router.register(r"snippets", views.SnippetViewSet, basename="snippet")
router.register(r"users", views.UserViewSet, basename="user")
# The API URLs are now determined automatically by the router.
urlpatterns = [
path("", include(router.urls)),
]
```
Registering the ViewSets with the router is similar to providing a urlpattern. We include two arguments - the URL prefix for the views, and the view set itself.
The `DefaultRouter` class we're using also automatically creates the API root view for us, so we can now delete the `api_root` function from our `views` module.
## Trade-offs between views vs ViewSets
Using ViewSets can be a really useful abstraction. It helps ensure that URL conventions will be consistent across your API, minimizes the amount of code you need to write, and allows you to concentrate on the interactions and representations your API provides rather than the specifics of the URL conf.
That doesn't mean it's always the right approach to take. There's a similar set of trade-offs to consider as when using class-based views instead of function-based views. Using ViewSets is less explicit than building your API views individually.
---
# Quickstart
We're going to create a simple API to allow admin users to view and edit the users and groups in the system.
## Project setup
Create a new Django project named `tutorial`, then start a new app called `quickstart`.
```bash
# Create the project directory
mkdir tutorial
cd tutorial
# Create a virtual environment to isolate our package dependencies locally
python3 -m venv env
source env/bin/activate # On Windows use `env\Scripts\activate`
# Install Django and Django REST framework into the virtual environment
pip install djangorestframework
# Set up a new project with a single application
django-admin startproject tutorial . # Note the trailing '.' character
cd tutorial
django-admin startapp quickstart
cd ..
```
The project layout should look like:
```bash
$ pwd
/tutorial
$ find .
.
./tutorial
./tutorial/asgi.py
./tutorial/__init__.py
./tutorial/quickstart
./tutorial/quickstart/migrations
./tutorial/quickstart/migrations/__init__.py
./tutorial/quickstart/models.py
./tutorial/quickstart/__init__.py
./tutorial/quickstart/apps.py
./tutorial/quickstart/admin.py
./tutorial/quickstart/tests.py
./tutorial/quickstart/views.py
./tutorial/settings.py
./tutorial/urls.py
./tutorial/wsgi.py
./env
./env/...
./manage.py
```
It may look unusual that the application has been created within the project directory. Using the project's namespace avoids name clashes with external modules (a topic that goes outside the scope of the quickstart).
Now sync your database for the first time:
```bash
python manage.py migrate
```
We'll also create an initial user named `admin` with a password. We'll authenticate as that user later in our example.
```bash
python manage.py createsuperuser --username admin --email admin@example.com
```
Once you've set up a database and the initial user is created and ready to go, open up the app's directory and we'll get coding...
## Serializers
First up we're going to define some serializers. Let's create a new module named `tutorial/quickstart/serializers.py` that we'll use for our data representations.
```python
from django.contrib.auth.models import Group, User
from rest_framework import serializers
class UserSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = User
fields = ["url", "username", "email", "groups"]
class GroupSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = Group
fields = ["url", "name"]
```
Notice that we're using hyperlinked relations in this case with `HyperlinkedModelSerializer`. You can also use primary key and various other relationships, but hyperlinking is good RESTful design.
## Views
Right, we'd better write some views then. Open `tutorial/quickstart/views.py` and get typing.
```python
from django.contrib.auth.models import Group, User
from rest_framework import permissions, viewsets
from tutorial.quickstart.serializers import GroupSerializer, UserSerializer
class UserViewSet(viewsets.ModelViewSet):
"""
API endpoint that allows users to be viewed or edited.
"""
queryset = User.objects.all().order_by("-date_joined")
serializer_class = UserSerializer
permission_classes = [permissions.IsAuthenticated]
class GroupViewSet(viewsets.ModelViewSet):
"""
API endpoint that allows groups to be viewed or edited.
"""
queryset = Group.objects.all().order_by("name")
serializer_class = GroupSerializer
permission_classes = [permissions.IsAuthenticated]
```
Rather than write multiple views we're grouping together all the common behavior into classes called `ViewSets`.
We can easily break these down into individual views if we need to, but using viewsets keeps the view logic nicely organized as well as being very concise.
## URLs
Okay, now let's wire up the API URLs. On to `tutorial/urls.py`...
```python
from django.urls import include, path
from rest_framework import routers
from tutorial.quickstart import views
router = routers.DefaultRouter()
router.register(r"users", views.UserViewSet)
router.register(r"groups", views.GroupViewSet)
# Wire up our API using automatic URL routing.
# Additionally, we include login URLs for the browsable API.
urlpatterns = [
path("", include(router.urls)),
path("api-auth/", include("rest_framework.urls", namespace="rest_framework")),
]
```
Because we're using viewsets instead of views, we can automatically generate the URL conf for our API, by simply registering the viewsets with a router class.
Again, if we need more control over the API URLs we can simply drop down to using regular class-based views, and writing the URL conf explicitly.
Finally, we're including default login and logout views for use with the browsable API. That's optional, but useful if your API requires authentication and you want to use the browsable API.
## Pagination
Pagination allows you to control how many objects per page are returned. To enable it add the following lines to `tutorial/settings.py`
```python
REST_FRAMEWORK = {
"DEFAULT_PAGINATION_CLASS": "rest_framework.pagination.PageNumberPagination",
"PAGE_SIZE": 10,
}
```
## Settings
Add `'rest_framework'` to `INSTALLED_APPS`. The settings module will be in `tutorial/settings.py`
```text
INSTALLED_APPS = [
...
'rest_framework',
]
```
Okay, we're done.
---
## Testing our API
We're now ready to test the API we've built. Let's fire up the server from the command line.
```bash
python manage.py runserver
```
We can now access our API, both from the command-line, using tools like `curl`...
```bash
bash: curl -u admin -H 'Accept: application/json; indent=4' http://127.0.0.1:8000/users/
Enter host password for user 'admin':
{
"count": 1,
"next": null,
"previous": null,
"results": [
{
"url": "http://127.0.0.1:8000/users/1/",
"username": "admin",
"email": "admin@example.com",
"groups": []
}
]
}
```
Or using the [httpie][httpie], command line tool...
```bash
bash: http -a admin http://127.0.0.1:8000/users/
http: password for admin@127.0.0.1:8000::
$HTTP/1.1 200 OK
...
{
"count": 1,
"next": null,
"previous": null,
"results": [
{
"email": "admin@example.com",
"groups": [],
"url": "http://127.0.0.1:8000/users/1/",
"username": "admin"
}
]
}
```
Or directly through the browser, by going to the URL `http://127.0.0.1:8000/users/`...
![Quick start image][image]
If you're working through the browser, make sure to login using the control in the top right corner.
Great, that was easy!
If you want to get a more in depth understanding of how REST framework fits together head on over to [the tutorial][tutorial], or start browsing the [API guide][guide].
[image]: ../img/quickstart.png
[tutorial]: 1-serialization.md
[guide]: ../api-guide/requests.md
[httpie]: https://httpie.io/docs#installation