Schemas
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
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.
Install Core API & PyYAML
You'll need to install the coreapi
package in order to add schema support
for REST framework. You probably also want to install pyyaml
, so that you
can render the schema into the commonly used YAML-based OpenAPI format.
pip install coreapi pyyaml
Quickstart
There are two different ways you can serve a schema description for your API.
Generating a schema with the generateschema
management command
To generate a static API schema, use the generateschema
management command.
$ python manage.py generateschema > 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.
Adding a view with get_schema_view
To add a dynamically generated schema view to your API, use get_schema_view
.
from rest_framework.schemas import get_schema_view
from django.urls import path
schema_view = get_schema_view(title="Example API")
urlpatterns = [
path('schema', schema_view),
...
]
See below for more details on customizing a dynamically generated schema view.
Internal schema representation
REST framework uses Core API in order to model schema information in a format-independent representation. This information can then be rendered into various different schema formats, or used to generate API documentation.
When using Core API, a schema is represented as a Document
which is the
top-level container object for information about the API. Available API
interactions are represented using Link
objects. Each link includes a URL,
HTTP method, and may include a list of Field
instances, which describe any
parameters that may be accepted by the API endpoint. The Link
and Field
instances may also include descriptions, that allow an API schema to be
rendered into user documentation.
Here's an example of an API description that includes a single search
endpoint:
coreapi.Document(
title='Flight Search API',
url='https://api.example.org/',
content={
'search': coreapi.Link(
url='/search/',
action='get',
fields=[
coreapi.Field(
name='from',
required=True,
location='query',
description='City name or airport code.'
),
coreapi.Field(
name='to',
required=True,
location='query',
description='City name or airport code.'
),
coreapi.Field(
name='date',
required=True,
location='query',
description='Flight date in "YYYY-MM-DD" format.'
)
],
description='Return flight availability and prices.'
)
}
)
Schema output formats
In order to be presented in an HTTP response, the internal representation has to be rendered into the actual bytes that are used in the response.
REST framework includes a few different renderers that you can use for encoding the API schema.
renderers.OpenAPIRenderer
- Renders into YAML-based OpenAPI, the most widely used API schema format.renderers.JSONOpenAPIRenderer
- Renders into JSON-based OpenAPI.renderers.CoreJSONRenderer
- Renders into Core JSON, a format designed for use with thecoreapi
client library.
Core JSON is designed as a canonical format for use with Core API.
REST framework includes a renderer class for handling this media type, which
is available as renderers.CoreJSONRenderer
.
Schemas vs Hypermedia
It's worth pointing out here that Core API can also be used to model hypermedia responses, which present an alternative interaction style to API schemas.
With an API schema, the entire available interface is presented up-front as a single endpoint. Responses to individual API endpoints are then typically presented as plain data, without any further interactions contained in each response.
With Hypermedia, the client is instead presented with a document containing both data and available interactions. Each interaction results in a new document, detailing both the current state and the available interactions.
Further information and support on building Hypermedia APIs with REST framework is planned for a future version.
Creating a schema
REST framework includes functionality for auto-generating a schema, or allows you to specify one explicitly.
Manual Schema Specification
To manually specify a schema you create a Core API Document
, similar to the
example above.
schema = coreapi.Document(
title='Flight Search API',
content={
...
}
)
Automatic Schema Generation
Automatic schema generation is provided by the SchemaGenerator
class.
SchemaGenerator
processes a list of routed URL patterns and compiles the
appropriately structured Core API Document.
Basic usage is just to provide the title for your schema and call
get_schema()
:
generator = schemas.SchemaGenerator(title='Flight Search API')
schema = generator.get_schema()
Per-View Schema Customisation
By default, view introspection is performed by an AutoSchema
instance
accessible via the schema
attribute on APIView
. This provides the
appropriate Core API Link
object for the view, request method and path:
auto_schema = view.schema
coreapi_link = auto_schema.get_link(...)
(In compiling the schema, SchemaGenerator
calls view.schema.get_link()
for
each view, allowed method and path.)
Note: For basic APIView
subclasses, default introspection is essentially
limited to the URL kwarg path parameters. For GenericAPIView
subclasses, which includes all the provided class based views, AutoSchema
will
attempt to introspect serializer, pagination and filter fields, as well as
provide richer path field descriptions. (The key hooks here are the relevant
GenericAPIView
attributes and methods: get_serializer
, pagination_class
,
filter_backends
and so on.)
To customise the Link
generation you may:
-
Instantiate
AutoSchema
on your view with themanual_fields
kwarg:from rest_framework.views import APIView from rest_framework.schemas import AutoSchema class CustomView(APIView): ... schema = AutoSchema( manual_fields=[ coreapi.Field("extra_field", ...), ] )
This allows extension for the most common case without subclassing.
-
Provide an
AutoSchema
subclass with more complex customisation:from rest_framework.views import APIView from rest_framework.schemas import AutoSchema class CustomSchema(AutoSchema): def get_link(...): # Implement custom introspection here (or in other sub-methods) class CustomView(APIView): ... schema = CustomSchema()
This provides complete control over view introspection.
-
Instantiate
ManualSchema
on your view, providing the Core APIFields
for the view explicitly:from rest_framework.views import APIView from rest_framework.schemas import ManualSchema class CustomView(APIView): ... schema = ManualSchema(fields=[ coreapi.Field( "first_field", required=True, location="path", schema=coreschema.String() ), coreapi.Field( "second_field", required=True, location="path", schema=coreschema.String() ), ])
This allows manually specifying the schema for some views whilst maintaining automatic generation elsewhere.
You may disable schema generation for a view by setting schema
to None
:
class CustomView(APIView):
...
schema = None # Will not appear in schema
This also applies to extra actions for ViewSet
s:
class CustomViewSet(viewsets.ModelViewSet):
@action(detail=True, schema=None)
def extra_action(self, request, pk=None):
...
Note: For full details on SchemaGenerator
plus the AutoSchema
and
ManualSchema
descriptors see the API Reference below.
Adding a schema view
There are a few different ways to add a schema view to your API, depending on exactly what you need.
The get_schema_view shortcut
The simplest way to include a schema in your project is to use the
get_schema_view()
function.
from rest_framework.schemas import get_schema_view
schema_view = get_schema_view(title="Server Monitoring API")
urlpatterns = [
path('', schema_view),
...
]
Once the view has been added, you'll be able to make API requests to retrieve the auto-generated schema definition.
$ http http://127.0.0.1:8000/ Accept:application/coreapi+json
HTTP/1.0 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/vnd.coreapi+json
{
"_meta": {
"title": "Server Monitoring API"
},
"_type": "document",
...
}
The arguments to get_schema_view()
are:
title
May be used to provide a descriptive title for the schema definition.
url
May be used to pass a canonical 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'
)
renderer_classes
May be used to pass the set of renderer classes that can be used to render the API root endpoint.
from rest_framework.schemas import get_schema_view
from rest_framework.renderers import JSONOpenAPIRenderer
schema_view = get_schema_view(
title='Server Monitoring API',
url='https://www.example.org/api/',
renderer_classes=[JSONOpenAPIRenderer]
)
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,
)
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
Using an explicit schema view
If you need a little more control than the get_schema_view()
shortcut gives you,
then you can use the SchemaGenerator
class directly to auto-generate the
Document
instance, and to return that from a view.
This option gives you the flexibility of setting up the schema endpoint with whatever behaviour you want. For example, you can apply different permission, throttling, or authentication policies to the schema endpoint.
Here's an example of using SchemaGenerator
together with a view to
return the schema.
views.py:
from rest_framework.decorators import api_view, renderer_classes
from rest_framework import renderers, response, schemas
generator = schemas.SchemaGenerator(title='Bookings API')
@api_view()
@renderer_classes([renderers.OpenAPIRenderer])
def schema_view(request):
schema = generator.get_schema(request)
return response.Response(schema)
urls.py:
urlpatterns = [
path('', schema_view),
...
]
You can also serve different schemas to different users, depending on the permissions they have available. This approach can be used to ensure that unauthenticated requests are presented with a different schema to authenticated requests, or to ensure that different parts of the API are made visible to different users depending on their role.
In order to present a schema with endpoints filtered by user permissions,
you need to pass the request
argument to the get_schema()
method, like so:
@api_view()
@renderer_classes([renderers.OpenAPIRenderer])
def schema_view(request):
generator = schemas.SchemaGenerator(title='Bookings API')
return response.Response(generator.get_schema(request=request))
Explicit schema definition
An alternative to the auto-generated approach is to specify the API schema
explicitly, by declaring a Document
object in your codebase. Doing so is a
little more work, but ensures that you have full control over the schema
representation.
import coreapi
from rest_framework.decorators import api_view, renderer_classes
from rest_framework import renderers, response
schema = coreapi.Document(
title='Bookings API',
content={
...
}
)
@api_view()
@renderer_classes([renderers.OpenAPIRenderer])
def schema_view(request):
return response.Response(schema)
Schemas as documentation
One common usage of API schemas is to use them to build documentation pages.
The schema generation in REST framework uses docstrings to automatically populate descriptions in the schema document.
These descriptions will be based on:
- The corresponding method docstring if one exists.
- A named section within the class docstring, which can be either single line or multi-line.
- The class docstring.
Examples
An APIView
, with an explicit method docstring.
class ListUsernames(APIView):
def get(self, request):
"""
Return a list of all user names in the system.
"""
usernames = [user.username for user in User.objects.all()]
return Response(usernames)
A ViewSet
, with an explicit action docstring.
class ListUsernames(ViewSet):
def list(self, request):
"""
Return a list of all user names in the system.
"""
usernames = [user.username for user in User.objects.all()]
return Response(usernames)
A generic view with sections in the class docstring, using single-line style.
class UserList(generics.ListCreateAPIView):
"""
get: List all the users.
post: Create a new user.
"""
queryset = User.objects.all()
serializer_class = UserSerializer
permission_classes = [IsAdminUser]
A generic viewset with sections in the class docstring, using multi-line style.
class UserViewSet(viewsets.ModelViewSet):
"""
API endpoint that allows users to be viewed or edited.
retrieve:
Return a user instance.
list:
Return all users, ordered by most recently joined.
"""
queryset = User.objects.all().order_by('-date_joined')
serializer_class = UserSerializer
API Reference
SchemaGenerator
A class that walks a list of routed URL patterns, requests the schema for each view, and collates the resulting CoreAPI Document.
Typically you'll instantiate SchemaGenerator
with a single argument, like so:
generator = SchemaGenerator(title='Stock Prices API')
Arguments:
title
required - The name of the API.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 tosettings.ROOT_URLCONF
.
get_schema(self, request)
Returns a coreapi.Document
instance that represents the API schema.
@api_view
@renderer_classes([renderers.OpenAPIRenderer])
def schema_view(request):
generator = schemas.SchemaGenerator(title='Bookings API')
return Response(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.
get_links(self, request)
Return a nested dictionary containing all the links that should be included in the API schema.
This is a good point to override if you want to modify the resulting structure of the generated schema, as you can build a new dictionary with a different layout.
AutoSchema
A class that deals with introspection of individual views for schema generation.
AutoSchema
is attached to APIView
via the schema
attribute.
The AutoSchema
constructor takes a single keyword argument manual_fields
.
manual_fields
: a list
of coreapi.Field
instances that will be added to
the generated fields. Generated fields with a matching name
will be overwritten.
class CustomView(APIView):
schema = AutoSchema(manual_fields=[
coreapi.Field(
"my_extra_field",
required=True,
location="path",
schema=coreschema.String()
),
])
For more advanced customisation subclass AutoSchema
to customise schema generation.
class CustomViewSchema(AutoSchema):
"""
Overrides `get_link()` to provide Custom Behavior X
"""
def get_link(self, path, method, base_url):
link = super().get_link(path, method, base_url)
# Do something to customize link here...
return link
class MyView(APIView):
schema = CustomViewSchema()
The following methods are available to override.
get_link(self, path, method, base_url)
Returns a coreapi.Link
instance corresponding to the given view.
This is the main entry point. You can override this if you need to provide custom behaviors for particular views.
get_description(self, path, method)
Returns a string to use as the link description. By default this is based on the view docstring as described in the "Schemas as Documentation" section above.
get_encoding(self, path, method)
Returns a string to indicate the encoding for any request body, when interacting
with the given view. Eg. 'application/json'
. May return a blank string for views
that do not expect a request body.
get_path_fields(self, path, method):
Return a list of coreapi.Field()
instances. One for each path parameter in the URL.
get_serializer_fields(self, path, method)
Return a list of coreapi.Field()
instances. One for each field in the serializer class used by the view.
get_pagination_fields(self, path, method)
Return a list of coreapi.Field()
instances, as returned by the get_schema_fields()
method on any pagination class used by the view.
get_filter_fields(self, path, method)
Return a list of coreapi.Field()
instances, as returned by the get_schema_fields()
method of any filter classes used by the view.
get_manual_fields(self, path, method)
Return a list of coreapi.Field()
instances to be added to or replace generated fields. Defaults to (optional) manual_fields
passed to AutoSchema
constructor.
May be overridden to customise manual fields by path
or method
. For example, a per-method adjustment may look like this:
def get_manual_fields(self, path, method):
"""Example adding per-method fields."""
extra_fields = []
if method=='GET':
extra_fields = # ... list of extra fields for GET ...
if method=='POST':
extra_fields = # ... list of extra fields for POST ...
manual_fields = super().get_manual_fields(path, method)
return manual_fields + extra_fields
update_fields(fields, update_with)
Utility staticmethod
. Encapsulates logic to add or replace fields from a list
by Field.name
. May be overridden to adjust replacement criteria.
ManualSchema
Allows manually providing a list of coreapi.Field
instances for the schema,
plus an optional description.
class MyView(APIView):
schema = ManualSchema(fields=[
coreapi.Field(
"first_field",
required=True,
location="path",
schema=coreschema.String()
),
coreapi.Field(
"second_field",
required=True,
location="path",
schema=coreschema.String()
),
]
)
The ManualSchema
constructor takes two arguments:
fields
: A list of coreapi.Field
instances. Required.
description
: A string description. Optional.
encoding
: Default None
. A string encoding, e.g application/json
. Optional.
Core API
This documentation gives a brief overview of the components within the coreapi
package that are used to represent an API schema.
Note that these classes are imported from the coreapi
package, rather than
from the rest_framework
package.
Document
Represents a container for the API schema.
title
A name for the API.
url
A canonical URL for the API.
content
A dictionary, containing the Link
objects that the schema contains.
In order to provide more structure to the schema, the content
dictionary
may be nested, typically to a second level. For example:
content={
"bookings": {
"list": Link(...),
"create": Link(...),
...
},
"venues": {
"list": Link(...),
...
},
...
}
Link
Represents an individual API endpoint.
url
The URL of the endpoint. May be a URI template, such as /users/{username}/
.
action
The HTTP method associated with the endpoint. Note that URLs that support
more than one HTTP method, should correspond to a single Link
for each.
fields
A list of Field
instances, describing the available parameters on the input.
description
A short description of the meaning and intended usage of the endpoint.
Field
Represents a single input parameter on a given API endpoint.
name
A descriptive name for the input.
required
A boolean, indicated if the client is required to included a value, or if the parameter can be omitted.
location
Determines how the information is encoded into the request. Should be one of the following strings:
"path"
Included in a templated URI. For example a url
value of /products/{product_code}/
could be used together with a "path"
field, to handle API inputs in a URL path such as /products/slim-fit-jeans/
.
These fields will normally correspond with named arguments in the project URL conf.
"query"
Included as a URL query parameter. For example ?search=sale
. Typically for GET
requests.
These fields will normally correspond with pagination and filtering controls on a view.
"form"
Included in the request body, as a single item of a JSON object or HTML form. For example {"colour": "blue", ...}
. Typically for POST
, PUT
and PATCH
requests. Multiple "form"
fields may be included on a single link.
These fields will normally correspond with serializer fields on a view.
"body"
Included as the complete request body. Typically for POST
, PUT
and PATCH
requests. No more than one "body"
field may exist on a link. May not be used together with "form"
fields.
These fields will normally correspond with views that use ListSerializer
to validate the request input, or with file upload views.
encoding
"application/json"
JSON encoded request content. Corresponds to views using JSONParser
.
Valid only if either one or more location="form"
fields, or a single
location="body"
field is included on the Link
.
"multipart/form-data"
Multipart encoded request content. Corresponds to views using MultiPartParser
.
Valid only if one or more location="form"
fields is included on the Link
.
"application/x-www-form-urlencoded"
URL encoded request content. Corresponds to views using FormParser
. Valid
only if one or more location="form"
fields is included on the Link
.
"application/octet-stream"
Binary upload request content. Corresponds to views using FileUploadParser
.
Valid only if a location="body"
field is included on the Link
.
description
A short description of the meaning and intended usage of the input field.
Third party packages
drf-yasg - Yet Another Swagger Generator
drf-yasg generates OpenAPI documents suitable for code generation - nested schemas, named models, response bodies, enum/pattern/min/max validators, form parameters, etc.
drf-spectacular - Sane and flexible OpenAPI 3.0 schema generation for Django REST framework
drf-spectacular is a OpenAPI 3 schema generation tool with explicit focus on extensibility, customizability and client generation. It's usage patterns are very similar to drf-yasg.