forked from orbit-oss/flask
merge app and request context
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.. currentmodule:: flask
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:orphan:
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The Request Context
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===================
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The request context keeps track of the request-level data during a
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request. Rather than passing the request object to each function that
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runs during a request, the :data:`request` and :data:`session` proxies
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are accessed instead.
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This is similar to :doc:`/appcontext`, which keeps track of the
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application-level data independent of a request. A corresponding
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application context is pushed when a request context is pushed.
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Purpose of the Context
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----------------------
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When the :class:`Flask` application handles a request, it creates a
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:class:`Request` object based on the environment it received from the
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WSGI server. Because a *worker* (thread, process, or coroutine depending
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on the server) handles only one request at a time, the request data can
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be considered global to that worker during that request. Flask uses the
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term *context local* for this.
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Flask automatically *pushes* a request context when handling a request.
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View functions, error handlers, and other functions that run during a
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request will have access to the :data:`request` proxy, which points to
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the request object for the current request.
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Lifetime of the Context
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-----------------------
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When a Flask application begins handling a request, it pushes a request
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context, which also pushes an :doc:`app context </appcontext>`. When the
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request ends it pops the request context then the application context.
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The context is unique to each thread (or other worker type).
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:data:`request` cannot be passed to another thread, the other thread has
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a different context space and will not know about the request the parent
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thread was pointing to.
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Context locals are implemented using Python's :mod:`contextvars` and
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Werkzeug's :class:`~werkzeug.local.LocalProxy`. Python manages the
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lifetime of context vars automatically, and local proxy wraps that
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low-level interface to make the data easier to work with.
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Manually Push a Context
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-----------------------
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If you try to access :data:`request`, or anything that uses it, outside
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a request context, you'll get this error message:
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.. code-block:: pytb
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RuntimeError: Working outside of request context.
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This typically means that you attempted to use functionality that
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needed an active HTTP request. Consult the documentation on testing
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for information about how to avoid this problem.
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This should typically only happen when testing code that expects an
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active request. One option is to use the
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:meth:`test client <Flask.test_client>` to simulate a full request. Or
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you can use :meth:`~Flask.test_request_context` in a ``with`` block, and
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everything that runs in the block will have access to :data:`request`,
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populated with your test data. ::
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def generate_report(year):
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format = request.args.get("format")
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...
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with app.test_request_context(
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"/make_report/2017", query_string={"format": "short"}
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):
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generate_report()
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If you see that error somewhere else in your code not related to
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testing, it most likely indicates that you should move that code into a
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view function.
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For information on how to use the request context from the interactive
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Python shell, see :doc:`/shell`.
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How the Context Works
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---------------------
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The :meth:`Flask.wsgi_app` method is called to handle each request. It
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manages the contexts during the request. Internally, the request and
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application contexts work like stacks. When contexts are pushed, the
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proxies that depend on them are available and point at information from
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the top item.
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When the request starts, a :class:`~ctx.RequestContext` is created and
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pushed, which creates and pushes an :class:`~ctx.AppContext` first if
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a context for that application is not already the top context. While
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these contexts are pushed, the :data:`current_app`, :data:`g`,
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:data:`request`, and :data:`session` proxies are available to the
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original thread handling the request.
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Other contexts may be pushed to change the proxies during a request.
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While this is not a common pattern, it can be used in advanced
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applications to, for example, do internal redirects or chain different
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applications together.
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After the request is dispatched and a response is generated and sent,
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the request context is popped, which then pops the application context.
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Immediately before they are popped, the :meth:`~Flask.teardown_request`
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and :meth:`~Flask.teardown_appcontext` functions are executed. These
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execute even if an unhandled exception occurred during dispatch.
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.. _callbacks-and-errors:
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Callbacks and Errors
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--------------------
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Flask dispatches a request in multiple stages which can affect the
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request, response, and how errors are handled. The contexts are active
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during all of these stages.
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A :class:`Blueprint` can add handlers for these events that are specific
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to the blueprint. The handlers for a blueprint will run if the blueprint
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owns the route that matches the request.
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#. Before each request, :meth:`~Flask.before_request` functions are
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called. If one of these functions return a value, the other
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functions are skipped. The return value is treated as the response
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and the view function is not called.
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#. If the :meth:`~Flask.before_request` functions did not return a
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response, the view function for the matched route is called and
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returns a response.
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#. The return value of the view is converted into an actual response
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object and passed to the :meth:`~Flask.after_request`
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functions. Each function returns a modified or new response object.
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#. After the response is returned, the contexts are popped, which calls
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the :meth:`~Flask.teardown_request` and
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:meth:`~Flask.teardown_appcontext` functions. These functions are
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called even if an unhandled exception was raised at any point above.
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If an exception is raised before the teardown functions, Flask tries to
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match it with an :meth:`~Flask.errorhandler` function to handle the
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exception and return a response. If no error handler is found, or the
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handler itself raises an exception, Flask returns a generic
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``500 Internal Server Error`` response. The teardown functions are still
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called, and are passed the exception object.
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If debug mode is enabled, unhandled exceptions are not converted to a
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``500`` response and instead are propagated to the WSGI server. This
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allows the development server to present the interactive debugger with
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the traceback.
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Teardown Callbacks
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~~~~~~~~~~~~~~~~~~
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The teardown callbacks are independent of the request dispatch, and are
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instead called by the contexts when they are popped. The functions are
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called even if there is an unhandled exception during dispatch, and for
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manually pushed contexts. This means there is no guarantee that any
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other parts of the request dispatch have run first. Be sure to write
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these functions in a way that does not depend on other callbacks and
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will not fail.
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During testing, it can be useful to defer popping the contexts after the
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request ends, so that their data can be accessed in the test function.
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Use the :meth:`~Flask.test_client` as a ``with`` block to preserve the
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contexts until the ``with`` block exits.
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.. code-block:: python
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from flask import Flask, request
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app = Flask(__name__)
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@app.route('/')
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def hello():
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print('during view')
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return 'Hello, World!'
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@app.teardown_request
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def show_teardown(exception):
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print('after with block')
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with app.test_request_context():
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print('during with block')
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# teardown functions are called after the context with block exits
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with app.test_client() as client:
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client.get('/')
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# the contexts are not popped even though the request ended
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print(request.path)
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# the contexts are popped and teardown functions are called after
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# the client with block exits
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Signals
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~~~~~~~
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The following signals are sent:
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#. :data:`request_started` is sent before the :meth:`~Flask.before_request` functions
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are called.
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#. :data:`request_finished` is sent after the :meth:`~Flask.after_request` functions
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are called.
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#. :data:`got_request_exception` is sent when an exception begins to be handled, but
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before an :meth:`~Flask.errorhandler` is looked up or called.
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#. :data:`request_tearing_down` is sent after the :meth:`~Flask.teardown_request`
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functions are called.
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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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proxies are accessed in the same way for each worker thread, but
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point to the unique object bound to each worker behind the scenes as
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described on this page.
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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 actually a proxy:
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- The proxy objects cannot fake their type as the actual object types.
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If you want to perform instance checks, you have to do that on the
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object being proxied.
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- The reference to the proxied object is needed in some situations,
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such as sending :doc:`signals` or passing data to a background
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thread.
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If you need to access the underlying object that is proxied, use the
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: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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Obsolete, see :doc:`/appcontext` instead.
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