Started work on new request dispatching. Unittests not yet updated
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docs/reqcontext.rst
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docs/reqcontext.rst
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.. _request-context:
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The Request Context
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===================
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This document describes the behavior in Flask 0.7 which is mostly in line
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with the old behavior but has some small, subtle differences.
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One of the design ideas behind Flask is that there are two different
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“states” in which code is executed. The application setup state in which
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the application implicitly is on the module level. It starts when the
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:class:`Flask` object is instantiated, and it implicitly ends when the
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first request comes in. While the application is in this state a few
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assumptions are true:
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- the programmer can modify the application object safely.
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- no request handling happened so far
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- you have to have a reference to the application object in order to
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modify it, there is no magic proxy that can give you a reference to
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the application object you're currently creating or modifying.
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On the contrast, during request handling, a couple of other rules exist:
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- while a request is active, the context local objects
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(:data:`flask.request` and others) point to the current request.
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- any code can get hold of these objects at any time.
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The magic that makes this works is internally referred in Flask as the
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“request context”.
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Diving into Context Locals
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--------------------------
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Say you have a utility function that returns the URL the user should be
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redirected to. Imagine it would always redirect to the URL's ``next``
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parameter or the HTTP referrer or the index page::
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from flask import request, url_for
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def redirect_url():
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return request.args.get('next') or \
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request.referrer or \
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url_for('index')
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As you can see, it accesses the request object. If you try to run this
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from a plain Python shell, this is the exception you will see:
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>>> redirect_url()
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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AttributeError: 'NoneType' object has no attribute 'request'
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That makes a lot of sense because we currently do not have a request we
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could access. So we have to make a request and bind it to the current
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context. The :attr:`~flask.Flask.test_request_context` method can create
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us a :class:`~flask.ctx.RequestContext`:
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>>> ctx = app.test_request_context('/?next=http://example.com/')
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This context can be used in two ways. Either with the `with` statement
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or by calling the :meth:`~flask.ctx.RequestContext.push` and
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:meth:`~flask.ctx.RequestContext.pop` methods:
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>>> ctx.push()
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From that point onwards you can work with the request object:
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>>> redirect_url()
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u'http://example.com/'
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Until you call `pop`:
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>>> ctx.pop()
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Because the request context is internally maintained as a stack you can
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push and pop multiple times. This is very handy to implement things like
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internal redirects.
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For more information of how to utilize the request context from the
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interactive Python shell, head over to the :ref:`shell` chapter.
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How the Context Works
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---------------------
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If you look into how the Flask WSGI application internally works, you will
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find a piece of code that looks very much like this::
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def wsgi_app(self, environ):
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with self.request_context(environ):
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try:
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response = self.full_dispatch_request()
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except Exception, e:
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response = self.make_response(self.handle_exception(e))
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return response(environ, start_response)
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The method :meth:`~Flask.request_context` returns a new
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:class:`~flask.ctx.RequestContext` object and uses it in combination with
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the `with` statement to bind the context. Everything that is called from
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the same thread from this point onwards until the end of the `with`
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statement will have access to the request globals (:data:`flask.request`
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and others).
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The request context internally works like a stack: The topmost level on
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the stack is the current active request.
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:meth:`~flask.ctx.RequestContext.push` adds the context to the stack on
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the very top, :meth:`~flask.ctx.RequestContext.pop` removes it from the
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stack again. On popping the application's
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:func:`~flask.Flask.teardown_request` functions are also executed.
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.. _callbacks-and-errors:
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Callbacks and Errors
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--------------------
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What happens if an error occurs in Flask during request processing? This
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particular behavior changed in 0.7 because we wanted to make it easier to
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understand what is actually happening. The new behavior is quite simple:
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1. Before each request, :meth:`~flask.Flask.before_request` functions are
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executed. If one of these functions return a response, the other
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functions are no longer called. In any case however the return value
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is treated as a replacement for the view's return value.
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2. If the :meth:`~flask.Flask.before_request` functions did not return a
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response, the regular request handling kicks in and the view function
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that was matched has the chance to return a response.
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3. The return value of the view is then converted into an actual response
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object and handed over to the :meth:`~flask.Flask.after_request`
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functions which have the chance to replace it or modify it in place.
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4. At the end of the request the :meth:`~flask.Flask.teardown_request`
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functions are executed. This always happens, even in case of an
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unhandled exception down the road.
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Now what happens on errors? In production mode if an exception is not
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caught, the 500 internal server handler is called. In development mode
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however the exception is not further processed and bubbles up to the WSGI
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server. That way things like the interactive debugger can provide helpful
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debug information.
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An important change in 0.7 is that the internal server error is now no
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longer post processed by the after request callbacks and after request
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callbacks are no longer guaranteed to be executed. This way the internal
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dispatching code looks cleaner and is easier to customize and understand.
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The new teardown functions are supposed to be used as a replacement for
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things that absolutely need to happen at the end of request.
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Teardown Callbacks
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------------------
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The teardown callbacks are special callbacks in that they are executed at
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at different point. Strictly speaking they are independent of the actual
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request handling as they are bound to the lifecycle of the
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:class:`~flask.ctx.RequestContext` object. When the request context is
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popped, the :meth:`~flask.Flask.teardown_request` functions are called.
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This is important to know if the life of the request context is prolonged
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by using the test client in a with statement of when using the request
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context from the command line::
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with app.test_client() as client:
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resp = client.get('/foo')
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# the teardown functions are still not called at that point
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# even though the response ended and you have the response
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# object in your hand
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# only when the code reaches this point the teardown functions
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# are called. Alternatively the same thing happens if another
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# request was triggered from the test client
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It's easy to see the behavior from the command line:
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>>> app = Flask(__name__)
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>>> @app.teardown_request
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... def after_request(exception=None):
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... print 'after request'
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...
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>>> ctx = app.test_request_context()
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>>> ctx.push()
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>>> ctx.pop()
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after request
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.. _notes-on-proxies:
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Notes On Proxies
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----------------
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Some of the objects provided by Flask are proxies to other objects. The
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reason behind this is that these proxies are shared between threads and
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they have to dispatch to the actual object bound to a thread behind the
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scenes as necessary.
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Most of the time you don't have to care about that, but there are some
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exceptions where it is good to know that this object is an actual proxy:
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- The proxy objects do not fake their inherited types, so if you want to
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perform actual instance checks, you have to do that on the instance
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that is being proxied (see `_get_current_object` below).
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- if the object reference is important (so for example for sending
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:ref:`signals`)
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If you need to get access to the underlying object that is proxied, you
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can use the :meth:`~werkzeug.local.LocalProxy._get_current_object` method::
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app = current_app._get_current_object()
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my_signal.send(app)
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Context Preservation on Error
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-----------------------------
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If an error occurs or not, at the end of the request the request context
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is popped and all data associated with it is destroyed. During
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development however that can be problematic as you might want to have the
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information around for a longer time in case an exception occurred. In
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Flask 0.6 and earlier in debug mode, if an exception occurred, the
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request context was not popped so that the interactive debugger can still
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provide you with important information.
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Starting with Flask 0.7 you have finer control over that behavior by
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setting the ``PRESERVE_CONTEXT_ON_EXCEPTION`` configuration variable. By
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default it's linked to the setting of ``DEBUG``. If the application is in
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debug mode the context is preserved, in production mode it's not.
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Do not force activate ``PRESERVE_CONTEXT_ON_EXCEPTION`` in production mode
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as it will cause your application to leak memory on exceptions. However
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it can be useful during development to get the same error preserving
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behavior as in development mode when attempting to debug an error that
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only occurs under production settings.
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