The Request Context

This document describes the behavior in Flask 0.7 which is mostly in line with the old behavior but has some small, subtle differences.

It is recommended that you read the The Application Context chapter first.

Diving into Context Locals

Say you have a utility function that returns the URL the user should be redirected to. Imagine it would always redirect to the URL’s next parameter or the HTTP referrer or the index page:

from flask import request, url_for

def redirect_url():
    return request.args.get('next') or \
           request.referrer or \

As you can see, it accesses the request object. If you try to run this from a plain Python shell, this is the exception you will see:

>>> redirect_url()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
AttributeError: 'NoneType' object has no attribute 'request'

That makes a lot of sense because we currently do not have a request we could access. So we have to make a request and bind it to the current context. The test_request_context method can create us a RequestContext:

>>> ctx = app.test_request_context('/?next=')

This context can be used in two ways. Either with the with statement or by calling the push() and pop() methods:

>>> ctx.push()

From that point onwards you can work with the request object:

>>> redirect_url()

Until you call pop:

>>> ctx.pop()

Because the request context is internally maintained as a stack you can push and pop multiple times. This is very handy to implement things like internal redirects.

For more information of how to utilize the request context from the interactive Python shell, head over to the Working with the Shell chapter.

How the Context Works

If you look into how the Flask WSGI application internally works, you will find a piece of code that looks very much like this:

def wsgi_app(self, environ):
    with self.request_context(environ):
            response = self.full_dispatch_request()
        except Exception, e:
            response = self.make_response(self.handle_exception(e))
        return response(environ, start_response)

The method request_context() returns a new RequestContext object and uses it in combination with the with statement to bind the context. Everything that is called from the same thread from this point onwards until the end of the with statement will have access to the request globals (flask.request and others).

The request context internally works like a stack: The topmost level on the stack is the current active request. push() adds the context to the stack on the very top, pop() removes it from the stack again. On popping the application’s teardown_request() functions are also executed.

Another thing of note is that the request context will automatically also create an application context when it’s pushed and there is no application context for that application so far.

Callbacks and Errors

What happens if an error occurs in Flask during request processing? This particular behavior changed in 0.7 because we wanted to make it easier to understand what is actually happening. The new behavior is quite simple:

  1. Before each request, before_request() functions are executed. If one of these functions return a response, the other functions are no longer called. In any case however the return value is treated as a replacement for the view’s return value.
  2. If the before_request() functions did not return a response, the regular request handling kicks in and the view function that was matched has the chance to return a response.
  3. The return value of the view is then converted into an actual response object and handed over to the after_request() functions which have the chance to replace it or modify it in place.
  4. At the end of the request the teardown_request() functions are executed. This always happens, even in case of an unhandled exception down the road or if a before-request handler was not executed yet or at all (for example in test environments sometimes you might want to not execute before-request callbacks).

Now what happens on errors? In production mode if an exception is not caught, the 500 internal server handler is called. In development mode however the exception is not further processed and bubbles up to the WSGI server. That way things like the interactive debugger can provide helpful debug information.

An important change in 0.7 is that the internal server error is now no longer post processed by the after request callbacks and after request callbacks are no longer guaranteed to be executed. This way the internal dispatching code looks cleaner and is easier to customize and understand.

The new teardown functions are supposed to be used as a replacement for things that absolutely need to happen at the end of request.

Teardown Callbacks

The teardown callbacks are special callbacks in that they are executed at a different point. Strictly speaking they are independent of the actual request handling as they are bound to the lifecycle of the RequestContext object. When the request context is popped, the teardown_request() functions are called.

This is important to know if the life of the request context is prolonged by using the test client in a with statement or when using the request context from the command line:

with app.test_client() as client:
    resp = client.get('/foo')
    # the teardown functions are still not called at that point
    # even though the response ended and you have the response
    # object in your hand

# only when the code reaches this point the teardown functions
# are called.  Alternatively the same thing happens if another
# request was triggered from the test client

It’s easy to see the behavior from the command line:

>>> app = Flask(__name__)
>>> @app.teardown_request
... def teardown_request(exception=None):
...     print 'this runs after request'
>>> ctx = app.test_request_context()
>>> ctx.push()
>>> ctx.pop()
this runs after request

Keep in mind that teardown callbacks are always executed, even if before-request callbacks were not executed yet but an exception happened. Certain parts of the test system might also temporarily create a request context without calling the before-request handlers. Make sure to write your teardown-request handlers in a way that they will never fail.

Notes On Proxies

Some of the objects provided by Flask are proxies to other objects. The reason behind this is that these proxies are shared between threads and they have to dispatch to the actual object bound to a thread behind the scenes as necessary.

Most of the time you don’t have to care about that, but there are some exceptions where it is good to know that this object is an actual proxy:

  • The proxy objects do not fake their inherited types, so if you want to perform actual instance checks, you have to do that on the instance that is being proxied (see _get_current_object below).
  • if the object reference is important (so for example for sending Signals)

If you need to get access to the underlying object that is proxied, you can use the _get_current_object() method:

app = current_app._get_current_object()

Context Preservation on Error

If an error occurs or not, at the end of the request the request context is popped and all data associated with it is destroyed. During development however that can be problematic as you might want to have the information around for a longer time in case an exception occurred. In Flask 0.6 and earlier in debug mode, if an exception occurred, the request context was not popped so that the interactive debugger can still provide you with important information.

Starting with Flask 0.7 you have finer control over that behavior by setting the PRESERVE_CONTEXT_ON_EXCEPTION configuration variable. By default it’s linked to the setting of DEBUG. If the application is in debug mode the context is preserved, in production mode it’s not.

Do not force activate PRESERVE_CONTEXT_ON_EXCEPTION in production mode as it will cause your application to leak memory on exceptions. However it can be useful during development to get the same error preserving behavior as in development mode when attempting to debug an error that only occurs under production settings.