Class-based views provide an alternative way to implement views as Python objects instead of functions. They do not replace function-based views, but have certain differences and advantages when compared to function-based views:
GET
, POST
,
etc.) can be addressed by separate methods instead of conditional branching.In the beginning there was only the view function contract, Django passed your
function an HttpRequest
and expected back an
HttpResponse
. This was the extent of what Django provided.
Early on it was recognized that there were common idioms and patterns found in view development. Function-based generic views were introduced to abstract these patterns and ease view development for the common cases.
The problem with function-based generic views is that while they covered the simple cases well, there was no way to extend or customize them beyond some simple configuration options, limiting their usefulness in many real-world applications.
Class-based generic views were created with the same objective as function-based generic views, to make view development easier. However, the way the solution is implemented, through the use of mixins, provides a toolkit that results in class-based generic views being more extensible and flexible than their function-based counterparts.
If you have tried function based generic views in the past and found them lacking, you should not think of class-based generic views as simply a class-based equivalent, but rather as a fresh approach to solving the original problems that generic views were meant to solve.
The toolkit of base classes and mixins that Django uses to build class-based
generic views are built for maximum flexibility, and as such have many hooks in
the form of default method implementations and attributes that you are unlikely
to be concerned with in the simplest use cases. For example, instead of
limiting you to a class-based attribute for form_class
, the implementation
uses a get_form
method, which calls a get_form_class
method, which in
its default implementation just returns the form_class
attribute of the
class. This gives you several options for specifying what form to use, from a
simple attribute, to a fully dynamic, callable hook. These options seem to add
hollow complexity for simple situations, but without them, more advanced
designs would be limited.
At its core, a class-based view allows you to respond to different HTTP request methods with different class instance methods, instead of with conditionally branching code inside a single view function.
So where the code to handle HTTP GET
in a view function would look
something like:
from django.http import HttpResponse
def my_view(request):
if request.method == 'GET':
# <view logic>
return HttpResponse('result')
In a class-based view, this would become:
from django.http import HttpResponse
from django.views import View
class MyView(View):
def get(self, request):
# <view logic>
return HttpResponse('result')
Because Django’s URL resolver expects to send the request and associated
arguments to a callable function, not a class, class-based views have an
as_view()
class method which returns a
function that can be called when a request arrives for a URL matching the
associated pattern. The function creates an instance of the class and calls its
dispatch()
method. dispatch
looks at
the request to determine whether it is a GET
, POST
, etc, and relays the
request to a matching method if one is defined, or raises
HttpResponseNotAllowed
if not:
# urls.py
from django.conf.urls import url
from myapp.views import MyView
urlpatterns = [
url(r'^about/$', MyView.as_view()),
]
It is worth noting that what your method returns is identical to what you
return from a function-based view, namely some form of
HttpResponse
. This means that
http shortcuts or
TemplateResponse
objects are valid to use
inside a class-based view.
While a minimal class-based view does not require any class attributes to perform its job, class attributes are useful in many class-based designs, and there are two ways to configure or set class attributes.
The first is the standard Python way of subclassing and overriding attributes
and methods in the subclass. So that if your parent class had an attribute
greeting
like this:
from django.http import HttpResponse
from django.views import View
class GreetingView(View):
greeting = "Good Day"
def get(self, request):
return HttpResponse(self.greeting)
You can override that in a subclass:
class MorningGreetingView(GreetingView):
greeting = "Morning to ya"
Another option is to configure class attributes as keyword arguments to the
as_view()
call in the URLconf:
urlpatterns = [
url(r'^about/$', GreetingView.as_view(greeting="G'day")),
]
Note
While your class is instantiated for each request dispatched to it, class
attributes set through the
as_view()
entry point are
configured only once at the time your URLs are imported.
Mixins are a form of multiple inheritance where behaviors and attributes of multiple parent classes can be combined.
For example, in the generic class-based views there is a mixin called
TemplateResponseMixin
whose primary purpose
is to define the method
render_to_response()
.
When combined with the behavior of the View
base class, the result is a TemplateView
class that will dispatch requests to the appropriate matching methods (a
behavior defined in the View
base class), and that has a
render_to_response()
method that uses a
template_name
attribute to return a TemplateResponse
object (a behavior defined in the TemplateResponseMixin
).
Mixins are an excellent way of reusing code across multiple classes, but they come with some cost. The more your code is scattered among mixins, the harder it will be to read a child class and know what exactly it is doing, and the harder it will be to know which methods from which mixins to override if you are subclassing something that has a deep inheritance tree.
Note also that you can only inherit from one generic view - that is, only one
parent class may inherit from View
and
the rest (if any) should be mixins. Trying to inherit from more than one class
that inherits from View
- for example, trying to use a form at the top of a
list and combining ProcessFormView
and
ListView
- won’t work as expected.
A basic function-based view that handles forms may look something like this:
from django.http import HttpResponseRedirect
from django.shortcuts import render
from .forms import MyForm
def myview(request):
if request.method == "POST":
form = MyForm(request.POST)
if form.is_valid():
# <process form cleaned data>
return HttpResponseRedirect('/success/')
else:
form = MyForm(initial={'key': 'value'})
return render(request, 'form_template.html', {'form': form})
A similar class-based view might look like:
from django.http import HttpResponseRedirect
from django.shortcuts import render
from django.views import View
from .forms import MyForm
class MyFormView(View):
form_class = MyForm
initial = {'key': 'value'}
template_name = 'form_template.html'
def get(self, request, *args, **kwargs):
form = self.form_class(initial=self.initial)
return render(request, self.template_name, {'form': form})
def post(self, request, *args, **kwargs):
form = self.form_class(request.POST)
if form.is_valid():
# <process form cleaned data>
return HttpResponseRedirect('/success/')
return render(request, self.template_name, {'form': form})
This is a very simple case, but you can see that you would then have the option
of customizing this view by overriding any of the class attributes, e.g.
form_class
, via URLconf configuration, or subclassing and overriding one or
more of the methods (or both!).
The extension of class-based views isn’t limited to using mixins. You can also
use decorators. Since class-based views aren’t functions, decorating them works
differently depending on if you’re using as_view()
or creating a subclass.
The simplest way of decorating class-based views is to decorate the
result of the as_view()
method.
The easiest place to do this is in the URLconf where you deploy your view:
from django.contrib.auth.decorators import login_required, permission_required
from django.views.generic import TemplateView
from .views import VoteView
urlpatterns = [
url(r'^about/$', login_required(TemplateView.as_view(template_name="secret.html"))),
url(r'^vote/$', permission_required('polls.can_vote')(VoteView.as_view())),
]
This approach applies the decorator on a per-instance basis. If you want every instance of a view to be decorated, you need to take a different approach.
To decorate every instance of a class-based view, you need to decorate
the class definition itself. To do this you apply the decorator to the
dispatch()
method of the class.
A method on a class isn’t quite the same as a standalone function, so
you can’t just apply a function decorator to the method – you need to
transform it into a method decorator first. The method_decorator
decorator transforms a function decorator into a method decorator so
that it can be used on an instance method. For example:
from django.contrib.auth.decorators import login_required
from django.utils.decorators import method_decorator
from django.views.generic import TemplateView
class ProtectedView(TemplateView):
template_name = 'secret.html'
@method_decorator(login_required)
def dispatch(self, *args, **kwargs):
return super(ProtectedView, self).dispatch(*args, **kwargs)
Or, more succinctly, you can decorate the class instead and pass the name
of the method to be decorated as the keyword argument name
:
@method_decorator(login_required, name='dispatch')
class ProtectedView(TemplateView):
template_name = 'secret.html'
If you have a set of common decorators used in several places, you can define
a list or tuple of decorators and use this instead of invoking
method_decorator()
multiple times. These two classes are equivalent:
decorators = [never_cache, login_required]
@method_decorator(decorators, name='dispatch')
class ProtectedView(TemplateView):
template_name = 'secret.html'
@method_decorator(never_cache, name='dispatch')
@method_decorator(login_required, name='dispatch')
class ProtectedView(TemplateView):
template_name = 'secret.html'
The decorators will process a request in the order they are passed to the
decorator. In the example, never_cache()
will process the request before
login_required()
.
The ability to use method_decorator()
on a class and the ability for
it to accept a list or tuple of decorators were added.
In this example, every instance of ProtectedView
will have login protection.
Note
method_decorator
passes *args
and **kwargs
as parameters to the decorated method on the class. If your method
does not accept a compatible set of parameters it will raise a
TypeError
exception.
Jun 09, 2017