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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.
request.POST # Only handles form data. Only works for 'POST' method.
request.DATA # Handles arbitrary data. Works any HTTP request with content.
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.
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.
- The
@api_view
decorator for working with function based views. - 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 behaviour such as returning 405 Method Not Allowed
responses when appropriate, and handling any ParseError
exception that occurs when accessing request.DATA
with malformed input.
Pulling it all together
Okay, let's go ahead and start using these new components to write a few views.
We don't need our JSONResponse
class anymore, so go ahead and delete that. Once that's done we can start refactoring our views slightly.
from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
from snippet.models import Snippet
from snippet.serializers import SnippetSerializer
@api_view(['GET', 'POST'])
def snippet_list(request):
"""
List all snippets, or create a new snippet.
"""
if request.method == 'GET':
snippets = Snippet.objects.all()
serializer = SnippetSerializer(instance=snippets)
return Response(serializer.data)
elif request.method == 'POST':
serializer = SnippetSerializer(request.DATA)
if serializer.is_valid():
serializer.save()
return Response(serializer.data, status=status.HTTP_201_CREATED)
else:
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.
@api_view(['GET', 'PUT', 'DELETE'])
def snippet_detail(request, pk):
"""
Retrieve, update or delete a snippet instance.
"""
try:
snippet = Snippet.objects.get(pk=pk)
except Snippet.DoesNotExist:
return Response(status=status.HTTP_404_NOT_FOUND)
if request.method == 'GET':
serializer = SnippetSerializer(instance=snippet)
return Response(serializer.data)
elif request.method == 'PUT':
serializer = SnippetSerializer(request.DATA, instance=snippet)
if serializer.is_valid():
serializer.save()
return Response(serializer.data)
else:
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 - there's not a lot different to 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 yaml
and 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 http://example.com/api/items/4.json.
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 urls.py
file slightly, to append a set of format_suffix_patterns
in addition to the existing URLs.
from django.conf.urls import patterns, url
from rest_framework.urlpatterns import format_suffix_patterns
urlpatterns = patterns('snippet.views',
url(r'^snippets/$', 'snippet_list'),
url(r'^snippets/(?P<pk>[0-9]+)$', '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. Everything is working pretty similarly, although we've got some nicer error handling if we send invalid requests.
TODO: Describe using accept headers, content-type headers, and format suffixed URLs
Now go and open the API in a web browser, by visiting http://127.0.0.1:8000/snippets/."
Note: Right now the Browseable API only works with the CBV's. Need to fix that.
Browsability
Because the API chooses a return format based on what the client asks for, it will, by default, return an HTML-formatted representation of the resource when that resource is requested by a browser. This allows for the API to be easily browsable and usable by humans.
See the browsable api topic for more information about the browsable API feature and how to customize it.
What's next?
In tutorial part 3, we'll start using class based views, and see how generic views reduce the amount of code we need to write.