Merge branch 'master' into celery-documentation

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David Lord 2017-05-15 12:17:09 -07:00
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@ -6,7 +6,7 @@ Application Factories
If you are already using packages and blueprints for your application
(:ref:`blueprints`) there are a couple of really nice ways to further improve
the experience. A common pattern is creating the application object when
the blueprint is imported. But if you move the creation of this object,
the blueprint is imported. But if you move the creation of this object
into a function, you can then create multiple instances of this app later.
So why would you want to do this?
@ -60,7 +60,7 @@ Factories & Extensions
It's preferable to create your extensions and app factories so that the
extension object does not initially get bound to the application.
Using `Flask-SQLAlchemy <http://pythonhosted.org/Flask-SQLAlchemy/>`_,
Using `Flask-SQLAlchemy <http://flask-sqlalchemy.pocoo.org/>`_,
as an example, you should not do something along those lines::
def create_app(config_filename):

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@ -3,71 +3,43 @@
Deferred Request Callbacks
==========================
One of the design principles of Flask is that response objects are created
and passed down a chain of potential callbacks that can modify them or
replace them. When the request handling starts, there is no response
object yet. It is created as necessary either by a view function or by
some other component in the system.
One of the design principles of Flask is that response objects are created and
passed down a chain of potential callbacks that can modify them or replace
them. When the request handling starts, there is no response object yet. It is
created as necessary either by a view function or by some other component in
the system.
But what happens if you want to modify the response at a point where the
response does not exist yet? A common example for that would be a
before-request function that wants to set a cookie on the response object.
What happens if you want to modify the response at a point where the response
does not exist yet? A common example for that would be a
:meth:`~flask.Flask.before_request` callback that wants to set a cookie on the
response object.
One way is to avoid the situation. Very often that is possible. For
instance you can try to move that logic into an after-request callback
instead. Sometimes however moving that code there is just not a very
pleasant experience or makes code look very awkward.
One way is to avoid the situation. Very often that is possible. For instance
you can try to move that logic into a :meth:`~flask.Flask.after_request`
callback instead. However, sometimes moving code there makes it more
more complicated or awkward to reason about.
As an alternative possibility you can attach a bunch of callback functions
to the :data:`~flask.g` object and call them at the end of the request.
This way you can defer code execution from anywhere in the application.
The Decorator
-------------
The following decorator is the key. It registers a function on a list on
the :data:`~flask.g` object::
from flask import g
def after_this_request(f):
if not hasattr(g, 'after_request_callbacks'):
g.after_request_callbacks = []
g.after_request_callbacks.append(f)
return f
Calling the Deferred
--------------------
Now you can use the `after_this_request` decorator to mark a function to
be called at the end of the request. But we still need to call them. For
this the following function needs to be registered as
:meth:`~flask.Flask.after_request` callback::
@app.after_request
def call_after_request_callbacks(response):
for callback in getattr(g, 'after_request_callbacks', ()):
callback(response)
return response
A Practical Example
-------------------
As an alternative, you can use :func:`~flask.after_this_request` to register
callbacks that will execute after only the current request. This way you can
defer code execution from anywhere in the application, based on the current
request.
At any time during a request, we can register a function to be called at the
end of the request. For example you can remember the current language of the
user in a cookie in the before-request function::
end of the request. For example you can remember the current language of the
user in a cookie in a :meth:`~flask.Flask.before_request` callback::
from flask import request
from flask import request, after_this_request
@app.before_request
def detect_user_language():
language = request.cookies.get('user_lang')
if language is None:
language = guess_language_from_request()
# when the response exists, set a cookie with the language
@after_this_request
def remember_language(response):
response.set_cookie('user_lang', language)
g.language = language

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@ -174,4 +174,4 @@ the code without having to run ``install`` again after each change.
.. _pip: https://pypi.python.org/pypi/pip
.. _Setuptools: https://pythonhosted.org/setuptools
.. _Setuptools: https://pypi.python.org/pypi/setuptools

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@ -47,37 +47,53 @@ even if the application behaves correctly:
Error Handlers
--------------
An error handler is a function, just like a view function, but it is
called when an error happens and is passed that error. The error is most
likely a :exc:`~werkzeug.exceptions.HTTPException`, but in one case it
can be a different error: a handler for internal server errors will be
passed other exception instances as well if they are uncaught.
An error handler is a function that returns a response when a type of error is
raised, similar to how a view is a function that returns a response when a
request URL is matched. It is passed the instance of the error being handled,
which is most likely a :exc:`~werkzeug.exceptions.HTTPException`. An error
handler for "500 Internal Server Error" will be passed uncaught exceptions in
addition to explicit 500 errors.
An error handler is registered with the :meth:`~flask.Flask.errorhandler`
decorator and the error code of the exception. Keep in mind that Flask
will *not* set the error code for you, so make sure to also provide the
HTTP status code when returning a response.
decorator or the :meth:`~flask.Flask.register_error_handler` method. A handler
can be registered for a status code, like 404, or for an exception class.
Please note that if you add an error handler for "500 Internal Server
Error", Flask will not trigger it if it's running in Debug mode.
The status code of the response will not be set to the handler's code. Make
sure to provide the appropriate HTTP status code when returning a response from
a handler.
Here an example implementation for a "404 Page Not Found" exception::
A handler for "500 Internal Server Error" will not be used when running in
debug mode. Instead, the interactive debugger will be shown.
Here is an example implementation for a "404 Page Not Found" exception::
from flask import render_template
@app.errorhandler(404)
def page_not_found(e):
# note that we set the 404 status explicitly
return render_template('404.html'), 404
When using the :ref:`application factory pattern <app-factories>`::
from flask import Flask, render_template
def page_not_found(e):
return render_template('404.html'), 404
def create_app(config_filename):
app = Flask(__name__)
app.register_error_handler(404, page_not_found)
return app
An example template might be this:
.. sourcecode:: html+jinja
{% extends "layout.html" %}
{% block title %}Page Not Found{% endblock %}
{% block body %}
<h1>Page Not Found</h1>
<p>What you were looking for is just not there.
<p><a href="{{ url_for('index') }}">go somewhere nice</a>
{% endblock %}
{% extends "layout.html" %}
{% block title %}Page Not Found{% endblock %}
{% block body %}
<h1>Page Not Found</h1>
<p>What you were looking for is just not there.
<p><a href="{{ url_for('index') }}">go somewhere nice</a>
{% endblock %}

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@ -49,5 +49,5 @@ web server's documentation.
See also
--------
* The `Favicon <http://en.wikipedia.org/wiki/Favicon>`_ article on
* The `Favicon <https://en.wikipedia.org/wiki/Favicon>`_ article on
Wikipedia

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@ -21,7 +21,7 @@ specific upload folder and displays a file to the user. Let's look at the
bootstrapping code for our application::
import os
from flask import Flask, request, redirect, url_for
from flask import Flask, flash, request, redirect, url_for
from werkzeug.utils import secure_filename
UPLOAD_FOLDER = '/path/to/the/uploads'
@ -58,7 +58,7 @@ the file and redirects the user to the URL for the uploaded file::
return redirect(request.url)
file = request.files['file']
# if user does not select file, browser also
# submit a empty part without filename
# submit an empty part without filename
if file.filename == '':
flash('No selected file')
return redirect(request.url)
@ -72,8 +72,8 @@ the file and redirects the user to the URL for the uploaded file::
<title>Upload new File</title>
<h1>Upload new File</h1>
<form method=post enctype=multipart/form-data>
<p><input type=file name=file>
<input type=submit value=Upload>
<input type=file name=file>
<input type=submit value=Upload>
</form>
'''
@ -181,4 +181,4 @@ applications dealing with uploads, there is also a Flask extension called
blacklisting of extensions and more.
.. _jQuery: https://jquery.com/
.. _Flask-Uploads: http://pythonhosted.org/Flask-Uploads/
.. _Flask-Uploads: https://pythonhosted.org/Flask-Uploads/

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@ -17,6 +17,10 @@ this::
login.html
...
If you find yourself stuck on something, feel free
to take a look at the source code for this example.
You'll find `the full src for this example here`_.
Simple Packages
---------------
@ -61,7 +65,7 @@ that tells Flask where to find the application instance::
export FLASK_APP=yourapplication
If you are outside of the project directory make sure to provide the exact
path to your application directory. Similiarly you can turn on "debug
path to your application directory. Similarly you can turn on "debug
mode" with this environment variable::
export FLASK_DEBUG=true
@ -130,6 +134,7 @@ You should then end up with something like that::
.. _working-with-modules:
.. _the full src for this example here: https://github.com/pallets/flask/tree/master/examples/patterns/largerapp
Working with Blueprints
-----------------------

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@ -22,7 +22,7 @@ if you want to get started quickly.
You can download `Flask-SQLAlchemy`_ from `PyPI
<https://pypi.python.org/pypi/Flask-SQLAlchemy>`_.
.. _Flask-SQLAlchemy: http://pythonhosted.org/Flask-SQLAlchemy/
.. _Flask-SQLAlchemy: http://flask-sqlalchemy.pocoo.org/
Declarative
@ -108,9 +108,9 @@ Querying is simple as well:
>>> User.query.filter(User.name == 'admin').first()
<User u'admin'>
.. _SQLAlchemy: http://www.sqlalchemy.org/
.. _SQLAlchemy: https://www.sqlalchemy.org/
.. _declarative:
http://docs.sqlalchemy.org/en/latest/orm/extensions/declarative/
https://docs.sqlalchemy.org/en/latest/orm/extensions/declarative/
Manual Object Relational Mapping
--------------------------------
@ -135,7 +135,7 @@ Here is an example :file:`database.py` module for your application::
def init_db():
metadata.create_all(bind=engine)
As for the declarative approach you need to close the session after
As in the declarative approach, you need to close the session after
each request or application context shutdown. Put this into your
application module::
@ -215,4 +215,4 @@ You can also pass strings of SQL statements to the
(1, u'admin', u'admin@localhost')
For more information about SQLAlchemy, head over to the
`website <http://www.sqlalchemy.org/>`_.
`website <https://www.sqlalchemy.org/>`_.

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@ -3,8 +3,8 @@
Using SQLite 3 with Flask
=========================
In Flask you can easily implement the opening of database connections on
demand and closing them when the context dies (usually at the end of the
In Flask you can easily implement the opening of database connections on
demand and closing them when the context dies (usually at the end of the
request).
Here is a simple example of how you can use SQLite 3 with Flask::
@ -71,7 +71,7 @@ Now in each request handling function you can access `g.db` to get the
current open database connection. To simplify working with SQLite, a
row factory function is useful. It is executed for every result returned
from the database to convert the result. For instance, in order to get
dictionaries instead of tuples, this could be inserted into the ``get_db``
dictionaries instead of tuples, this could be inserted into the ``get_db``
function we created above::
def make_dicts(cursor, row):
@ -102,15 +102,15 @@ This would use Row objects rather than dicts to return the results of queries. T
Additionally, it is a good idea to provide a query function that combines
getting the cursor, executing and fetching the results::
def query_db(query, args=(), one=False):
cur = get_db().execute(query, args)
rv = cur.fetchall()
cur.close()
return (rv[0] if rv else None) if one else rv
This handy little function, in combination with a row factory, makes
working with the database much more pleasant than it is by just using the
This handy little function, in combination with a row factory, makes
working with the database much more pleasant than it is by just using the
raw cursor and connection objects.
Here is how you can use it::
@ -131,7 +131,7 @@ To pass variable parts to the SQL statement, use a question mark in the
statement and pass in the arguments as a list. Never directly add them to
the SQL statement with string formatting because this makes it possible
to attack the application using `SQL Injections
<http://en.wikipedia.org/wiki/SQL_injection>`_.
<https://en.wikipedia.org/wiki/SQL_injection>`_.
Initial Schemas
---------------

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@ -19,7 +19,7 @@ forms.
fun. You can get it from `PyPI
<https://pypi.python.org/pypi/Flask-WTF>`_.
.. _Flask-WTF: http://pythonhosted.org/Flask-WTF/
.. _Flask-WTF: https://flask-wtf.readthedocs.io/en/stable/
The Forms
---------