Welcome to the online version of The Django Book, a free book about the Django Web framework for the Python programming language.
About this book
You’re reading The Django Book, first published in December 2007 (and updated in 2009) by Apress as The Definitive Guide to Django: Web Development Done Right.
We’ve released this book freely for a couple of reasons. First, we love Django and we want it to be as accessible as possible. Many programmers learn their craft from well-written technical material, so we set out to create a top-notch guide and reference to Django.
Second, it turns out that writing books about technology is fundamentally difficult: your words are often outdated before the book even reaches the printer. On the web, however, “the ink is never dry” — we can (and will!) keep the book updated.
Acknowledgements
The most gratifying aspect of working on Django is the community. We’ve been
especially lucky that Django has attracted such a smart, motivated, and friendly
bunch. A segment of that community followed us over to the online “beta” release
of this book. Their reviews and comments were indispensable; this book wouldn’t
have been possible without all that wonderful peer review. Almost a thousand
people left comments that helped us improve the clarity, quality, and flow of
the final book; we’d like to thank each and every one of them.
We’re especially grateful to those who took the time to review the book in depth
and left dozens (sometimes hundreds) of comments apiece: Marty Alchin, Max
Battcher, Oliver Beat- tie, Rod Begbie, Paul Bissex, Matt Boersma, Robbin
Bonthond, Peter Bowyer, Nesta Campbell, Jon Colverson, Jeff Croft, Chris Dary,
Alex Dong, Matt Drew, Robert Dzikowski, Nick Efford, Ludvig Ericson, Eric
Floehr, Brad Fults, David Grant, Simon Greenhill, Robert Haveman, Kent Johnson,
Andrew Kember, Marek Kubica, Eduard Kucera, Anand Kumria, Scott Lamb, Fredrik
Lundh, Vadim Macagon, Markus Majer, Orestis Markou, R. Mason, Yasushi Masuda,
Kevin Menard, Carlo Miron, James Mulholland, R.D. Nielsen, Michael O’Keefe,
Lawrence Oluyede, Andreas Pfrengle, Frankie Robertson, Mike Robinson, Armin
Ronacher, Daniel Roseman, Johan Samyn, Ross Shannon, Carolina F. Silva, Paul
Smith, Björn Stabell, Bob Stepno, Graeme Stevenson, Justin Stockton, Kevin
Teague, Daniel Tietze, Brooks Travis, Peter Tripp, Matthias Urlichs, Peter van
Kampen, Alexandre Vassalotti, Jay Wang, Brian Will, and Joshua Works.
Many thanks to our technical editor, Jeremy Dunck. Without Jeremy this book
would be littered with errors, inaccuracies, and broken code. We feel very lucky
that someone as talented as Jeremy found the time to help us out.
Specials thanks go to Simon Willison for writing the chapter on form processing.
We really appreciate the help, and we’re thrilled that Simon’s excellent writing
can be part of this book.
We’re grateful for all the hard work the folks at Apress put into this book.
They’ve been amazingly supportive and patient; this book wouldn’t have come
together without a lot of work on their part. We’re especially happy that Apress
supported and even encouraged the free release of this book online; it’s
wonderful seeing a publisher so embracing the spirit of open source.
Finally, of course, thanks to our friends, families, and coworkers who’ve
graciously tolerated our mental absence while we finished this work.
About the Authors
Adrian Holovaty is a Web developer with a background in journalism. He’s known in journalism circles as one of the pioneers of “journalism via computer programming”, and in technical circles as “the guy who invented Django.”
He was lead developer at World Online for 2.5 years, during which time Django was developed and implemented on World Online’s sites. He’s the founder of EveryBlock, a “news feed for your block”.
Adrian lives in Chicago, USA.
Jacob Kaplan-Moss is a partner at Revolution Systems which provides support services around Django and related open source technologies. Jacob previously worked at World Online, where Django was invented, where he was the lead developer of Ellington, a commercial Web publishing platform for media companies.
Jacob lives in Lawrence, Kansas, USA.
About the Technical Reviewer
Jeremy Dunck was rescued from corporate IT drudgery by Free Software and, in part, Django. Many of Jeremy’s interests center around access to information.
Jeremy was the lead developer of Pegasus News, one of the first uses of Django outside World Online, and has since joined Votizen, a startup intent on reducing the influence of money in politics.
He serves as DSF Secretary, organizes and helps organize sprints, cares about the health and equity of the Django community. He has gone an embarrassingly long time without a working blog.
Jeremy lives in Mountain View, CA, USA.
Introduction
In the early days, Web developers wrote every page by hand. Updating a Web site
meant editing HTML; a “redesign” involved redoing every single page, one at a
time.
As Web sites grew and became more ambitious, it quickly became obvious that that
situation was tedious, time-consuming, and ultimately untenable. A group of
enterprising hackers at NCSA (the National Center for Supercomputing
Applications, where Mosaic, the first graphical Web browser, was developed)
solved this problem by letting the Web server spawn external programs that could
dynamically generate HTML. They called this protocol the Common Gateway
Interface, or CGI, and it changed the Web forever.
It’s hard now to imagine what a revelation CGI must have been: instead of
treating HTML pages as simple files on disk, CGI allows you to think of your
pages as resources generated dynamically on demand. The development of CGI
ushered in the first generation of dynamic Web sites.
However, CGI has its problems: CGI scripts need to contain a lot of repetitive
“boilerplate” code, they make code reuse difficult, and they can be difficult
for first-time developers to write and understand.
PHP fixed many of these problems, and it took the world by storm – it’s now by
far the most popular tool used to create dynamic Web sites, and dozens of
similar languages and environments (ASP, JSP, etc.) followed PHP’s design
closely. PHP’s major innovation is its ease of use: PHP code is simply embedded
into plain HTML; the learning curve for someone who already knows HTML is
extremely shallow.
But PHP has its own problems; its very ease of use encourages sloppy,
repetitive, ill-conceived code. Worse, PHP does little to protect programmers
from security vulnerabilities, and thus many PHP developers found themselves
learning about security only once it was too late.
These and similar frustrations led directly to the development of the current
crop of “third-generation” Web development frameworks. These frameworks –
Django and Ruby on Rails appear to be the most popular these days – recognize
that the Web’s importance has escalated of late. With this new explosion of Web
development comes yet another increase in ambition; Web developers are expected
to do more and more every day.
Django was invented to meet these new ambitions. Django lets you build deep,
dynamic, interesting sites in an extremely short time. Django is designed to let
you focus on the fun, interesting parts of your job while easing the pain of the
repetitive bits. In doing so, it provides high-level abstractions of common Web
development patterns, shortcuts for frequent programming tasks, and clear
conventions on how to solve problems. At the same time, Django tries to stay out
of your way, letting you work outside the scope of the framework as needed. We
wrote this book because we firmly believe that Django makes Web development
better. It’s designed to quickly get you moving on your own Django projects, and
then ultimately teach you everything you need to know to successfully design,
develop, and deploy a site that you’ll be proud of.
We’re extremely interested in your feedback. This book is open source and
all are welcome to improve it. If you prefer to suggest changes, please drop us
a line at feedback@djangobook.com. Either way, we’d love to hear from you! We’re
glad you’re here, and we hope that you find Django as exciting, fun and useful
as we do.
Chapter 1: Introduction to Django
This book is about Django, a Web development framework that saves you time
and makes Web development a joy. Using Django, you can build and maintain
high-quality Web applications with minimal fuss.
At its best, Web development is an exciting, creative act; at its worst,
it can be a repetitive, frustrating nuisance. Django lets you focus on the fun
stuff – the crux of your Web application – while easing the pain of the
repetitive bits. In doing so, it provides high-level abstractions of common
Web development patterns, shortcuts for frequent programming tasks, and
clear conventions for how to solve problems. At the same time, Django tries to
stay out of your way, letting you work outside the scope of the framework as
needed.
The goal of this book is to make you a Django expert. The focus is twofold.
First, we explain, in depth, what Django does and how to build Web
applications with it. Second, we discuss higher-level concepts where
appropriate, answering the question “How can I apply these tools effectively
in my own projects?” By reading this book, you’ll learn the skills needed to
develop powerful Web sites quickly, with code that is clean and easy to
maintain.
What Is a Web Framework?
Django is a prominent member of a new generation of Web frameworks – but
what does that term mean, precisely?
To answer that question, let’s consider the design of a Web application written
in Python without a framework. Throughout this book, we’ll take this approach
of showing you basic ways of getting work done without shortcuts, in the hope
that you’ll recognize why shortcuts are so helpful. (It’s also valuable to know
how to get things done without shortcuts because shortcuts aren’t always
available. And most importantly, knowing why things work the way they do
makes you a better Web developer.)
One of the simplest, most direct ways to build a Python Web app from scratch is
to use the Common Gateway Interface (CGI) standard, which was a popular
technique circa 1998. Here’s a high-level explanation of how it works: just
create a Python script that outputs HTML, then save the script to a Web server
with a ”.cgi” extension and visit the page in your Web browser. That’s it.
Here’s an example Python CGI script that displays the ten most recently
published books from a database. Don’t worry about syntax details; just get a
feel for the basic things it’s doing:
#!/usr/bin/env python
import MySQLdb
print "Content-Type: text/html\n"
print "<html><head><title>Books</title></head>"
print "<body>"
print "<h1>Books</h1>"
print "<ul>"
connection = MySQLdb.connect(user='me', passwd='letmein', db='my_db')
cursor = connection.cursor()
cursor.execute("SELECT name FROM books ORDER BY pub_date DESC LIMIT 10")
for row in cursor.fetchall():
print "<li>%s</li>" % row[0]
print "</ul>"
print "</body></html>"
connection.close()
First, to fulfill the requirements of CGI, this code prints a “Content-Type”
line, followed by a blank line. It prints some introductory HTML, connects to a
database and runs a query to retrieve the names of the latest ten books.
Looping over those books, it generates an HTML list of the titles. Finally, it
prints the closing HTML and closes the database connection.
With a one-off page like this one, the write-it-from-scratch approach isn’t
necessarily bad. For one thing, this code is simple to comprehend – even a
novice developer can read these 16 lines of Python and understand everything it
does, from start to finish. There’s nothing else to learn, no other code to
read. It’s also simple to deploy: just save this code in a file that ends with
”.cgi”, upload that file to a Web server, and visit that page with a browser.
But despite its simplicity, this approach has a number of problems and
annoyances. Ask yourself these questions:
- What happens when multiple parts of your application need to connect to
the database? Surely that database-connecting code shouldn’t need to be
duplicated in each individual CGI script. The pragmatic thing to do would
be to refactor it into a shared function.
- Should a developer really have to worry about printing the
“Content-Type” line and remembering to close the database connection?
This sort of boilerplate reduces programmer productivity and introduces
opportunities for mistakes. These setup- and teardown-related tasks would
best be handled by some common infrastructure.
- What happens when this code is reused in multiple environments, each with
a separate database and password? At this point, some
environment-specific configuration becomes essential.
- What happens when a Web designer who has no experience coding Python
wishes to redesign the page? One wrong character could crash the entire
application. Ideally, the logic of the page – the retrieval of book
titles from the database – would be separate from the HTML display of
the page, so that a designer could edit the latter without affecting the
former.
These problems are precisely what a Web framework intends to solve. A Web
framework provides a programming infrastructure for your applications, so that
you can focus on writing clean, maintainable code without having to reinvent
the wheel. In a nutshell, that’s what Django does.
The MVC Design Pattern
Let’s dive in with a quick example that demonstrates the difference between the
previous approach and a Web framework’s approach. Here’s how you might write
the previous CGI code using Django. The first thing to note is that that we
split it over four Python files (models.py, views.py, urls.py) and
an HTML template (latest_books.html):
# models.py (the database tables)
from django.db import models
class Book(models.Model):
name = models.CharField(max_length=50)
pub_date = models.DateField()
# views.py (the business logic)
from django.shortcuts import render
from models import Book
def latest_books(request):
book_list = Book.objects.order_by('-pub_date')[:10]
return render(request, 'latest_books.html', {'book_list': book_list})
# urls.py (the URL configuration)
from django.conf.urls.defaults import *
import views
urlpatterns = patterns('',
(r'^latest/$', views.latest_books),
)
# latest_books.html (the template)
<html><head><title>Books</title></head>
<body>
<h1>Books</h1>
<ul>
{% for book in book_list %}
<li>{{ book.name }}</li>
{% endfor %}
</ul>
</body></html>
Again, don’t worry about the particulars of syntax; just get a feel for the
overall design. The main thing to note here is the separation of concerns:
- The models.py file contains a description of the database table,
represented by a Python class. This class is called a model. Using it,
you can create, retrieve, update and delete records in your database
using simple Python code rather than writing repetitive SQL statements.
- The views.py file contains the business logic for the page. The
latest_books() function is called a view.
- The urls.py file specifies which view is called for a given URL
pattern. In this case, the URL /latest/ will be handled by the
latest_books() function. In other words, if your domain is
example.com, any visit to the URL http://example.com/latest/ will call
the latest_books() function.
- The latest_books.html file is an HTML template that describes the
design of the page. It uses a template language with basic logic
statements – e.g., {% for book in book_list %}.
Taken together, these pieces loosely follow a pattern called
Model-View-Controller (MVC). Simply put, MVC is way of developing software so
that the code for defining and accessing data (the model) is separate from
request-routing logic (the controller), which in turn is separate from the user
interface (the view). (We’ll discuss MVC in more depth in Chapter 5.)
A key advantage of such an approach is that components are loosely coupled.
Each distinct piece of a Django-powered Web application has a single key
purpose and can be changed independently without affecting the other pieces.
For example, a developer can change the URL for a given part of the application
without affecting the underlying implementation. A designer can change a page’s
HTML without having to touch the Python code that renders it. A database
administrator can rename a database table and specify the change in a single
place, rather than having to search and replace through a dozen files.
In this book, each component of MVC gets its own chapter. Chapter 3 covers
views, Chapter 4 covers templates, and Chapter 5 covers models.
Django’s History
Before we dive into more code, we should take a moment to explain Django’s
history. We noted above that we’ll be showing you how to do things without
shortcuts so that you more fully understand the shortcuts. Similarly, it’s
useful to understand why Django was created, because knowledge of the history
will put into context why Django works the way it does.
If you’ve been building Web applications for a while, you’re probably familiar
with the problems in the CGI example we presented earlier. The classic Web
developer’s path goes something like this:
- Write a Web application from scratch.
- Write another Web application from scratch.
- Realize the application from step 1 shares much in common with the
application from step 2.
- Refactor the code so that application 1 shares code with application 2.
- Repeat steps 2-4 several times.
- Realize you’ve invented a framework.
This is precisely how Django itself was created!
Django grew organically from real-world applications written by a Web
development team in Lawrence, Kansas, USA. It was born in the fall of 2003,
when the Web programmers at the Lawrence Journal-World newspaper, Adrian
Holovaty and Simon Willison, began using Python to build applications.
The World Online team, responsible for the production and maintenance of
several local news sites, thrived in a development environment dictated by
journalism deadlines. For the sites – including LJWorld.com, Lawrence.com and
KUsports.com – journalists (and management) demanded that features be added
and entire applications be built on an intensely fast schedule, often with only
days’ or hours’ notice. Thus, Simon and Adrian developed a time-saving Web
development framework out of necessity – it was the only way they could build
maintainable applications under the extreme deadlines.
In summer 2005, after having developed this framework to a point where it was
efficiently powering most of World Online’s sites, the team, which now included
Jacob Kaplan-Moss, decided to release the framework as open source software.
They released it in July 2005 and named it Django, after the jazz guitarist
Django Reinhardt.
Now, several years later, Django is a well-established open source project with
tens of thousands of users and contributors spread across the planet. Two of
the original World Online developers (the “Benevolent Dictators for Life,”
Adrian and Jacob) still provide central guidance for the framework’s growth,
but it’s much more of a collaborative team effort.
This history is relevant because it helps explain two key things. The first is
Django’s “sweet spot.” Because Django was born in a news environment, it offers
several features (such as its admin site, covered in Chapter 6) that are
particularly well suited for “content” sites – sites like Amazon.com,
craigslist.org, and washingtonpost.com that offer dynamic, database-driven
information. Don’t let that turn you off, though – although Django is
particularly good for developing those sorts of sites, that doesn’t preclude it
from being an effective tool for building any sort of dynamic Web site.
(There’s a difference between being particularly effective at something and
being ineffective at other things.)
The second matter to note is how Django’s origins have shaped the culture of
its open source community. Because Django was extracted from real-world code,
rather than being an academic exercise or commercial product, it is acutely
focused on solving Web development problems that Django’s developers themselves
have faced – and continue to face. As a result, Django itself is actively
improved on an almost daily basis. The framework’s maintainers have a vested
interest in making sure Django saves developers time, produces applications
that are easy to maintain and performs well under load. If nothing else, the
developers are motivated by their own selfish desires to save themselves time
and enjoy their jobs. (To put it bluntly, they eat their own dog food.)
How to Read This Book
In writing this book, we tried to strike a balance between readability and
reference, with a bias toward readability. Our goal with this book, as stated
earlier, is to make you a Django expert, and we believe the best way to teach is
through prose and plenty of examples, rather than providing an exhaustive
but bland catalog of Django features. (As the saying goes, you can’t expect to
teach somebody how to speak a language merely by teaching them the alphabet.)
With that in mind, we recommend that you read Chapters 1 through 12 in order.
They form the foundation of how to use Django; once you’ve read them, you’ll be
able to build and deploy Django-powered Web sites. Specifically, Chapters 1
through 7 are the “core curriculum,” Chapters 8 through 11 cover more advanced
Django usage, and Chapter 12 covers deployment. The remaining chapters, 13
through 20, focus on specific Django features and can be read in any order.
The appendixes are for reference. They, along with the free documentation at
http://www.djangoproject.com/, are probably what you’ll flip back to occasionally to
recall syntax or find quick synopses of what certain parts of Django do.
Required Programming Knowledge
Readers of this book should understand the basics of procedural and
object-oriented programming: control structures (e.g., if, while,
for), data structures (lists, hashes/dictionaries), variables, classes and
objects.
Experience in Web development is, as you may expect, very helpful, but it’s
not required to understand this book. Throughout the book, we try to promote
best practices in Web development for readers who lack this experience.
Required Python Knowledge
At its core, Django is simply a collection of libraries written in the Python
programming language. To develop a site using Django, you write Python code
that uses these libraries. Learning Django, then, is a matter of learning how
to program in Python and understanding how the Django libraries work.
If you have experience programming in Python, you should have no trouble diving
in. By and large, the Django code doesn’t perform a lot of “magic” (i.e.,
programming trickery whose implementation is difficult to explain or
understand). For you, learning Django will be a matter of learning Django’s
conventions and APIs.
If you don’t have experience programming in Python, you’re in for a treat.
It’s easy to learn and a joy to use! Although this book doesn’t include a full
Python tutorial, it highlights Python features and functionality where
appropriate, particularly when code doesn’t immediately make sense. Still, we
recommend you read the official Python tutorial, available online at
http://docs.python.org/tut/. We also recommend Mark Pilgrim’s free book
Dive Into Python, available at http://www.diveintopython.net/ and published in
print by Apress.
Required Django Version
This book covers Django 1.4.
Django’s developers maintain backwards compatibility as much as possible, but
occasionally introduce some backwards incompatible changes. The changes in each
release are always covered in the release notes, which you can find here:
https://docs.djangoproject.com/en/dev/releases/1.X
Getting Help
One of the greatest benefits of Django is its kind and helpful user community.
For help with any aspect of Django – from installation, to application design,
to database design, to deployment – feel free to ask questions online.
- The django-users mailing list is where thousands of Django users hang out
to ask and answer questions. Sign up for free at http://www.djangoproject.com/r/django-users.
- The Django IRC channel is where Django users hang out to chat and help
each other in real time. Join the fun by logging on to #django on the
Freenode IRC network.
What’s Next
In Chapter 2, we’ll get started with Django, covering installation and
initial setup.
Chapter 2: Getting Started
Installing Django is a multi-step process, due to the multiple moving parts in
modern Web development environments. In this chapter, we’ll walk you through
how to install the framework and its few dependencies.
Because Django is “just” Python code, it runs anywhere Python does – including
on some cell phones! But this chapter just covers the common scenarios for
Django installations. We’ll assume you’re installing it either on a
desktop/laptop machine or a server.
Later, in Chapter 12, we’ll cover how to deploy Django to a production site.
Installing Python
Django itself is written purely in Python, so the first step in installing the
framework is to make sure you have Python installed.
Python Versions
The core Django framework (version 1.4+) works with any Python version from 2.5
to 2.7, inclusive. Django’s optional GIS (Geographic Information Systems)
support requires Python 2.5 to 2.7.
If you’re not sure which version of Python to install and you have complete
freedom over the decision, pick the latest one in the 2.x series: version 2.7.
Although Django works equally well with any version from 2.5 to 2.7, the later
versions of Python have performance improvements and additional language
features you might like to use in your applications. Plus, certain third-party
Django add-ons that you might want to use might require a version newer than
Python 2.5, so using a later version of Python keeps your options open.
Django and Python 3.x
At the time of writing, Python 3.3 has been released, but Django
only supports it experimentally. This is because the Python 3.x series
introduces a substantial number of backwards-incompatible changes to the
language itself, and, as a result, many major Python libraries and
frameworks, including Django (as of version 1.4), have not yet caught up.
Django 1.5 is slated to support Python 2.6, 2.7, and 3.2. However,
support for Python 3.2 is considered a “preview”, which means the
Django developers are not yet confident enough to promise
stability in production. For that, they suggest you wait until
Django 1.6.
Installation
If you’re on Linux or Mac OS X, you probably have Python already installed.
Type python at a command prompt (or in Applications/Utilities/Terminal, in
OS X). If you see something like this, then Python is installed:
Python 2.7.3rc2 (default, Apr 22 2012, 22:30:17)
[GCC 4.6.3] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>>
Otherwise, you’ll need to download and install Python. It’s fast and easy, and
detailed instructions are available at http://www.python.org/download/
Installing Django
At any given time, two distinct versions of Django are available to you: the
latest official release and the bleeding-edge development version. The version you
decide to install depends on your priorities. Do you want a stable and tested
version of Django, or do you want a version containing the latest features,
perhaps so you can contribute to Django itself, at the expense of stability?
We’d recommend sticking with an official release, but it’s important to know
that the development version exists, because you’ll find it mentioned
in the documentation and by members of the community.
Installing an Official Release
Official releases have a version number, such as 1.4.2, 1.4.1 or 1.4, and the latest
one is always available at http://www.djangoproject.com/download/.
If you’re on a Linux distribution that includes a package of Django, it’s a
good idea to use the distributor’s version. That way, you’ll get security
updates along with the rest of your system packages.
If you don’t have access to a prepackaged version, you can download and install
the framework manually. To do so, first download the tarball, which will be
named something like Django-1.4.2.tar.gz. (It doesn’t matter which
local directory you download this file into; the installation process will put
Django’s files in the right place.) Then, unzip it and run setup.py install,
as you do with most Python libraries.
Here’s how that process looks on Unix systems:
- tar xzvf Django-1.4.2.tar.gz
- cd Django-*
- sudo python setup.py install
On Windows, we recommend using 7-Zip (http://www.djangoproject.com/r/7zip/)
to unzip .tar.gz files. Once you’ve unzipped the file, start up a DOS
shell (the “Command Prompt”) with administrator privileges and run the
following command from within the directory whose name starts with Django-:
In case you’re curious: Django’s files will be installed into your Python
installation’s site-packages directory – a directory where Python looks
for third-party libraries. Usually it’s in a place like
/usr/lib/python2.7/site-packages.
Installing the “Development” Version
Django uses Git (http://git-scm.com) for its source control. The latest and
greatest Django development version available from Django’s official Git
repository (https://github.com/django/django). You should consider installing
this version if you want to work on the bleeding edge, or if you want to
contribute code to Django itself.
Git is a free, open source distributed revision-control system, and the Django
team uses it to manage changes to the Django codebase. You can download and
install Git from http://git-scm.com/download but it is easier to install with
your operating system’s package manager. You can use Git to grab the very latest
Django source code and, at any given time, you can update your local version of
the Django code to get the latest changes and improvements made by Django
developers.
When using the development version, keep in mind there’s no guarantee things
won’t be broken at any given moment. With that said, though, some members of the
Django team run production sites on the development version, so they have an
incentive to keep it stable.
To grab the latest Django, follow these steps:
Make sure you have Git installed. You can get the
software free from http://git-scm.com/, and you can find
excellent documentation at http://git-scm.com/documentation.
Clone the repository using the command git clone https://github.com/django/django djmaster
Locate your Python installation’s site-packages directory. Usually
it’s in a place like /usr/lib/python2.7/site-packages. If you have
no idea, type this command from a command prompt:
python -c 'import sys, pprint; pprint.pprint(sys.path)'
The resulting output should include your site-packages directory.
Within the site-packages directory, create a file called
djmaster.pth and edit it to contain the full path to your djmaster
directory to it. For example, the file could just contain this line:
Place djmaster/django/bin on your system PATH. This directory
includes management utilities such as django-admin.py.
After downloading from Git and following the preceding steps, there’s no
need to run python setup.py install– you’ve just done the work by hand!
Because the Django code changes often with bug fixes and feature additions,
you’ll probably want to update it every once in a while. To update the code,
just run the command git pull origin master from within the djmaster
directory. When you run that command, Git will contact
https://github.com/django/django, determine whether any of Django’s code has
changed, and update your local version of the code with any changes that have
been made since you last updated. It’s quite slick.
Finally, if you use Django development version, you should know how to figure
out which version of Django you’re running. Knowing your version number is
important if you ever need to reach out to the community for help, or if you
submit improvements to the framework. In these cases, you should tell people the
revision, also known as a “commit,” that you’re using. To find out your current
commit, type “git log -1” from within the django directory, and look for the
identifier after “commit”. This number changes each time Django is changed,
whether through a bug fix, feature addition, documentation improvement or
anything else.
Testing the Django installation
For some post-installation positive feedback, take a moment to test whether the
installation worked. In a command shell, change into another directory (e.g.,
not the directory that contains the django directory) and start the
Python interactive interpreter by typing python. If the installation was
successful, you should be able to import the module django:
>>> import django
>>> django.VERSION
(1, 4, 2, 'final', 0)
Interactive Interpreter Examples
The Python interactive interpreter is a command-line program that lets you
write a Python program interactively. To start it, run the command
python at the command line.
Throughout this book, we feature example Python interactive interpreter
sessions. You can recognize these examples by the triple
greater-than signs (>>>), which designate the interpreter’s prompt. If
you’re copying examples from this book, don’t copy those greater-than signs.
Multiline statements in the interactive interpreter are padded with three
dots (...). For example:
>>> print """This is a
... string that spans
... three lines."""
This is a
string that spans
three lines.
>>> def my_function(value):
... print value
>>> my_function('hello')
hello
Those three dots at the start of the additional lines are inserted by the
Python shell – they’re not part of our input. We include them here to be
faithful to the actual output of the interpreter. If you copy our examples
to follow along, don’t copy those dots.
Setting Up a Database
At this point, you could very well begin writing a Web application with Django,
because Django’s only hard-and-fast prerequisite is a working Python
installation. However, odds are you’ll be developing a database-driven Web
site, in which case you’ll need to configure a database server.
If you just want to start playing with Django, skip ahead to the
“Starting a Project” section – but keep in mind that all the examples in this
book assume you have a working database set up.
Django supports four database engines:
For the most part, all the engines here work equally well with the core Django
framework. (A notable exception is Django’s optional GIS support, which is much
more powerful with PostgreSQL than with other databases.) If you’re not tied to
any legacy system and have the freedom to choose a database backend, we
recommend PostgreSQL, which achieves a fine balance between cost, features,
speed and stability.
Setting up the database is a two-step process:
- First, you’ll need to install and configure the database server itself.
This process is beyond the scope of this book, but each of the four
database backends has rich documentation on its Web site. (If you’re on
a shared hosting provider, odds are that they’ve set this up for you
already.)
- Second, you’ll need to install the Python library for your particular
database backend. This is a third-party bit of code that allows Python to
interface with the database. We outline the specific, per-database
requirements in the following sections.
If you’re just playing around with Django and don’t want to install a database
server, consider using SQLite. SQLite is unique in the list of supported
databases in that it doesn’t require either of the above steps. It merely reads
and writes its data to a single file on your filesystem, and Python versions 2.5
and higher include built-in support for it.
On Windows, obtaining database driver binaries can be frustrating. If you’re
eager to jump in, we recommend using Python 2.7 and its built-in support for
SQLite.
Using Django with PostgreSQL
If you’re using PostgreSQL, you’ll need to install either the psycopg or
psycopg2 package from http://www.djangoproject.com/r/python-pgsql/. We
recommend psycopg2, as it’s newer, more actively developed and can be
easier to install. Either way, take note of whether you’re using version 1 or
2; you’ll need this information later.
If you’re using PostgreSQL on Windows, you can find precompiled binaries of
psycopg at http://www.djangoproject.com/r/python-pgsql/windows/.
If you’re on Linux, check whether your distribution’s package-management
system offers a package called “python-psycopg2”, “psycopg2-python”,
“python-postgresql” or something similar.
Using Django with SQLite 3
You’re in luck: no database-specific installation is required, because Python
ships with SQLite support. Skip ahead to the next section.
Using Django with MySQL
Django requires MySQL 4.0 or above. The 3.x versions don’t support nested
subqueries and some other fairly standard SQL statements.
You’ll also need to install the MySQLdb package from
http://www.djangoproject.com/r/python-mysql/.
If you’re on Linux, check whether your distribution’s package-management system
offers a package called “python-mysql”, “python-mysqldb”, “mysql-python” or
something similar.
Using Django with Oracle
Django works with Oracle Database Server versions 9i and higher.
If you’re using Oracle, you’ll need to install the cx_Oracle library,
available at http://cx-oracle.sourceforge.net/. Use version 4.3.1 or higher, but
avoid version 5.0 due to a bug in that version of the driver. Version 5.0.1
resolved the bug, however, so you can choose a higher version as well.
Using Django Without a Database
As mentioned earlier, Django doesn’t actually require a database. If you just
want to use it to serve dynamic pages that don’t hit a database, that’s
perfectly fine.
With that said, bear in mind that some of the extra tools bundled with Django
do require a database, so if you choose not to use a database, you’ll miss
out on those features. (We highlight these features throughout this book.)
Starting a Project
Once you’ve installed Python, Django and (optionally) your database
server/library, you can take the first step in developing a Django application
by creating a project.
A project is a collection of settings for an instance of Django, including
database configuration, Django-specific options and application-specific
settings.
If this is your first time using Django, you’ll have to take care of some
initial setup. Create a new directory to start working in, perhaps something
like /home/username/djcode/.
Where Should This Directory Live?
If your background is in PHP, you’re probably used to putting code under the
Web server’s document root (in a place such as /var/www). With Django,
you don’t do that. It’s not a good idea to put any of this Python code
within your Web server’s document root, because in doing so you risk the
possibility that people will be able to view your raw source code over the
Web. That’s not good.
Put your code in some directory outside of the document root.
Change into the directory you created, and run the command
django-admin.py startproject mysite. This will create a mysite
directory in your current directory.
Note
django-admin.py should be on your system path if you installed Django
via its setup.py utility.
If you’re using the development version, you’ll find django-admin.py in
djmaster/django/bin. Because you’ll be using django-admin.py
often, consider adding it to your system path. On Unix, you can do so by
symlinking from /usr/local/bin, using a command such as sudo ln -s
/path/to/django/bin/django-admin.py /usr/local/bin/django-admin.py. On
Windows, you’ll need to update your PATH environment variable.
If you installed Django from a packaged version for your Linux
distribution, django-admin.py might be called django-admin instead.
If you see a “permission denied” message when running
django-admin.py startproject, you’ll need to change the file’s permissions.
To do this, navigate to the directory where django-admin.py is installed
(e.g., cd /usr/local/bin) and run the command chmod +x django-admin.py.
The startproject command creates a directory containing five files:
mysite/
manage.py
mysite/
__init__.py
settings.py
urls.py
wsgi.py
Note
Doesn’t match what you see?
The default project layout recently changed. If you’re seeing a
“flat” layout (with no inner mysite/ directory), you’re probably using
a version of Django that doesn’t match this tutorial version. This book covers
Django 1.4 and above, so if you’re using an older version you probably want to
consult Django’s official documentation.
The documentation for Django 1.X version is available at https://docs.djangoproject.com/en/1.X/.
These files are as follows:
- mysite/: The outer mysite/ directory is just a container for your project.
Its name doesn’t matter to Django; you can rename it to anything you like.
- manage.py: A command-line utility that lets you interact with this
Django project in various ways. Type python manage.py help to get a
feel for what it can do. You should never have to edit this file; it’s
created in this directory purely for convenience.
- mysite/mysite/: The inner mysite/ directory is the actual Python package
for your project. Its name is the Python package name you’ll need to use to
import anything inside it (e.g. import mysite.settings).
- __init__.py: A file required for Python to treat the mysite
directory as a package (i.e., a group of Python modules). It’s an empty
file, and generally you won’t add anything to it.
- settings.py: Settings/configuration for this Django project. Take a
look at it to get an idea of the types of settings available, along with
their default values.
- urls.py: The URLs for this Django project. Think of this as the
“table of contents” of your Django-powered site.
- wsgi.py: An entry-point for WSGI-compatible webservers to serve your project.
See How to deploy with WSGI (https://docs.djangoproject.com/en/1.4/howto/deployment/wsgi/) for more details.
Despite their small size, these files already constitute a working Django
application.
Running the Development Server
For some more post-installation positive feedback, let’s run the Django
development server to see our barebones application in action.
The Django development server (also called the “runserver” after the command
that launches it) is a built-in, lightweight Web server you can use while
developing your site. It’s included with Django so you can develop your site
rapidly, without having to deal with configuring your production server (e.g.,
Apache) until you’re ready for production. The development server watches your
code and automatically reloads it, making it easy for you to change your code
without needing to restart anything.
To start the server, change into your project container directory (cd mysite),
if you haven’t already, and run this command:
python manage.py runserver
You’ll see something like this:
Validating models...
0 errors found.
Django version 1.4.2, using settings 'mysite.settings'
Development server is running at http://127.0.0.1:8000/
Quit the server with CONTROL-C.
This launches the server locally, on port 8000, accessible only to connections
from your own computer. Now that it’s running, visit http://127.0.0.1:8000/
with your Web browser. You might see a different Django version depending on
which version of Django you have installed. You’ll see a “Welcome to Django” page shaded in a
pleasant pastel blue. It worked!
One final, important note about the development server is worth mentioning
before proceeding. Although this server is convenient for development, resist
the temptation to use it in anything resembling a production environment. The
development server can handle only a single request at a time reliably, and it
has not gone through a security audit of any sort. When the time comes to
launch your site, see Chapter 12 for information on how to deploy Django.
Changing the Development Server’s Host or Port
By default, the runserver command starts the development server on port
8000, listening only for local connections. If you want to change the
server’s port, pass it as a command-line argument:
python manage.py runserver 8080
By specifying an IP address, you can tell the server to allow non-local
connections. This is especially helpful if you’d like to share a
development site with other members of your team. The IP address
0.0.0.0 tells the server to listen on any network interface:
python manage.py runserver 0.0.0.0:8000
When you’ve done this, other computers on your local network will be able
to view your Django site by visiting your IP address in their Web browsers,
e.g., http://192.168.1.103:8000/ . (Note that you’ll have to consult your
network settings to determine your IP address on the local network. Unix
users, try running “ifconfig” in a command prompt to get this information.
Windows users, try “ipconfig”.)
What’s Next?
Now that you have everything installed and the development server running,
you’re ready to :doc: learn the basics Chapter 3, of serving Web pages with Django.
Chapter 3: Views and URLconfs
In the previous chapter, we explained how to set up a Django project and run the
Django development server. In this chapter, you’ll learn the basics of creating
dynamic Web pages with Django.
Your First Django-Powered Page: Hello World
As our first goal, let’s create a Web page that outputs that famous example
message: “Hello world.”
If you were publishing a simple “Hello world” Web page without a Web framework,
you’d simply type “Hello world” into a text file, call it hello.html,
and upload it to a directory on a Web server somewhere. Notice, in that
process, you’ve specified two key pieces of information about that Web page:
its contents (the string "Hello world") and its URL (
http://www.example.com/hello.html, or maybe http://www.example.com/files/hello.html
if you put it in a subdirectory).
With Django, you specify those same two things, but in a different way. The
contents of the page are produced by a view function, and the URL is
specified in a URLconf. First, let’s write our “Hello world” view function.
Your First View
Within the mysite directory that django-admin.py startproject made in
the last chapter, create an empty file called views.py. This Python module
will contain our views for this chapter. Note that there’s nothing special
about the name views.py – Django doesn’t care what the file is called, as
you’ll see in a bit – but it’s a good idea to call it views.py as a
convention, for the benefit of other developers reading your code.
Our “Hello world” view is simple. Here’s the entire function, plus import
statements, which you should type into the views.py file:
from django.http import HttpResponse
def hello(request):
return HttpResponse("Hello world")
Let’s step through this code one line at a time:
First, we import the class HttpResponse, which lives in the
django.http module. We need to import this class because it’s used
later in our code.
Next, we define a function called hello – the view function.
Each view function takes at least one parameter, called request by
convention. This is an object that contains information about the
current Web request that has triggered this view, and it’s an instance of
the class django.http.HttpRequest. In this example, we don’t do
anything with request, but it must be the first parameter of the view
nonetheless.
Note that the name of the view function doesn’t matter; it doesn’t have
to be named in a certain way in order for Django to recognize it. We’re
calling it hello here, because that name clearly indicates the gist
of the view, but it could just as well be named
hello_wonderful_beautiful_world, or something equally revolting. The
next section, “Your First URLconf”, will shed light on how Django finds
this function.
The function is a simple one-liner: it merely returns an HttpResponse
object that has been instantiated with the text "Hello world".
The main lesson here is this: a view is just a Python function that takes an
HttpRequest as its first parameter and returns an instance of
HttpResponse. In order for a Python function to be a Django view, it must
do these two things. (There are exceptions, but we’ll get to those later.)
Your First URLconf
If, at this point, you ran python manage.py runserver again, you’d still
see the “Welcome to Django” message, with no trace of our “Hello world” view
anywhere. That’s because our mysite project doesn’t yet know about the
hello view; we need to tell Django explicitly that we’re activating this
view at a particular URL. (Continuing our previous analogy of publishing
static HTML files, at this point we’ve created the HTML file but haven’t
uploaded it to a directory on the server yet.) To hook a view function to a
particular URL with Django, use a URLconf.
A URLconf is like a table of contents for your Django-powered Web site.
Basically, it’s a mapping between URLs and the view functions that
should be called for those URLs. It’s how you tell Django, “For this
URL, call this code, and for that URL, call that code.” For example, “When
somebody visits the URL /foo/, call the view function foo_view(), which
lives in the Python module views.py.”
When you executed django-admin.py startproject in the previous chapter, the
script created a URLconf for you automatically: the file urls.py. By
default, it looks something like this:
from django.conf.urls import patterns, include, url
# Uncomment the next two lines to enable the admin:
# from django.contrib import admin
# admin.autodiscover()
urlpatterns = patterns('',
# Examples:
# url(r'^$', 'mysite.views.home', name='home'),
# url(r'^mysite/', include('mysite.foo.urls')),
# Uncomment the admin/doc line below to enable admin documentation:
# url(r'^admin/doc/', include('django.contrib.admindocs.urls')),
# Uncomment the next line to enable the admin:
# url(r'^admin/', include(admin.site.urls)),
)
This default URLconf includes some commonly used Django features commented out,
so that activating those features is as easy as uncommenting the appropriate
lines. If we ignore the commented-out code, here’s the essence of a URLconf:
from django.conf.urls.defaults import patterns, include, url
urlpatterns = patterns('',
)
Let’s step through this code one line at a time:
- The first line imports three functions from the django.conf.urls.defaults
module, which is Django’s URLconf infrastructure: patterns, include,
and urls.
- The second line calls the function patterns and saves the result
into a variable called urlpatterns. The patterns function gets
passed only a single argument – the empty string. (The string can be
used to supply a common prefix for view functions, which we’ll cover in
Chapter 8: Advanced Views and URLconfs.)
The main thing to note here is the variable urlpatterns, which Django
expects to find in your URLconf module. This variable defines the mapping
between URLs and the code that handles those URLs. By default, as we can see,
the URLconf is empty – your Django application is a blank slate. (As a side
note, that’s how Django knew to show you the “Welcome to Django” page in the
last chapter. If your URLconf is empty, Django assumes you just started a new
project and, hence, displays that message.)
To add a URL and view to the URLconf, just add a mapping between a URL
pattern and the view function. Here’s how to hook in our hello view:
from django.conf.urls.defaults import patterns, include, url
from mysite.views import hello
urlpatterns = patterns('',
url(r'^hello/$', hello),
)
(Note that we’ve removed the commented-out code for brevity. You can choose
to leave those lines in, if you’d like.)
We made two changes here:
- First, we imported the hello view from its module –
mysite/views.py, which translates into mysite.views in Python
import syntax. (This assumes mysite/views.py is on your Python path;
see the sidebar for details.)
- Next, we added the line url(r'^hello/$', hello), to urlpatterns. This
line is referred to as a URLpattern. The url() function tells Django how
to handle the url that you are configuring. The first argument is a
pattern-matching string (a regular expression; more on this in a bit) and the
second argument is the view function to use for that pattern. url() can
take other optional arguments as well, which we’ll cover in more depth in
Chapter 8: Advanced Views and URLconfs.
Note
One more important detail we’ve introduced here is that r character in
front of the regular expression string. This tells Python that the string is a
“raw string” – its contents should not interpret backslashes. In normal
Python strings, backslashes are used for escaping special characters – such
as in the string '\n', which is a one-character string containing a
newline. When you add the r to make it a raw string, Python does not apply
its backslash escaping – so, r'\n' is a two-character string containing a
literal backslash and a lowercase “n”. There’s a natural collision between
Python’s usage of backslashes and the backslashes that are found in regular
expressions, so it’s strongly suggested that you use raw strings any time
you’re defining a regular expression in Python. All of the URLpatterns in this
book will be raw strings.
In a nutshell, we just told Django that any request to the URL /hello/ should
be handled by the hello view function.
Your Python Path
Your Python path is the list of directories on your system where Python
looks when you use the Python import statement.
For example, let’s say your Python path is set to ['',
'/usr/lib/python2.7/site-packages', '/home/username/djcode']. If you
execute the Python statement from foo import bar, Python will look for
a module called foo.py in the current directory. (The first entry in the
Python path, an empty string, means “the current directory.”) If that file
doesn’t exist, Python will look for the file
/usr/lib/python2.7/site-packages/foo.py. If that file doesn’t exist, it
will try /home/username/djcode/foo.py. Finally, if that file doesn’t
exist, it will raise ImportError.
If you’re interested in seeing the value of your Python path, start the
Python interactive interpreter and type this:
>>> import sys
>>> print sys.path
Generally you don’t have to worry about setting your Python path – Python
and Django take care of things for you automatically behind the scenes.
(Setting the Python path is one of the things that the manage.py script
does.)
It’s worth discussing the syntax of this URLpattern, as it may not be
immediately obvious. Although we want to match the URL /hello/, the pattern
looks a bit different than that. Here’s why:
Django removes the slash from the front of every incoming URL before it
checks the URLpatterns. This means that our URLpattern doesn’t include
the leading slash in /hello/. (At first, this may seem unintuitive,
but this requirement simplifies things – such as the inclusion of
URLconfs within other URLconfs, which we’ll cover in Chapter 8.)
The pattern includes a caret (^) and a dollar sign ($). These are
regular expression characters that have a special meaning: the caret
means “require that the pattern matches the start of the string,” and the
dollar sign means “require that the pattern matches the end of the
string.”
This concept is best explained by example. If we had instead used the
pattern '^hello/' (without a dollar sign at the end), then any URL
starting with /hello/ would match, such as /hello/foo and
/hello/bar, not just /hello/. Similarly, if we had left off the
initial caret character (i.e., 'hello/$'), Django would match any
URL that ends with hello/, such as /foo/bar/hello/. If we had
simply used hello/, without a caret or dollar sign, then any URL
containing hello/ would match, such as /foo/hello/bar. Thus, we
use both the caret and dollar sign to ensure that only the URL
/hello/ matches – nothing more, nothing less.
Most of your URLpatterns will start with carets and end with dollar
signs, but it’s nice to have the flexibility to perform more
sophisticated matches.
You may be wondering what happens if someone requests the URL /hello
(that is, without a trailing slash). Because our URLpattern requires a
trailing slash, that URL would not match. However, by default, any
request to a URL that doesn’t match a URLpattern and doesn’t end with
a slash will be redirected to the same URL with a trailing slash. (This
is regulated by the APPEND_SLASH Django setting, which is covered in
Appendix D.)
If you’re the type of person who likes all URLs to end with slashes
(which is the preference of Django’s developers), all you’ll need to do
is add a trailing slash to each URLpattern and leave APPEND_SLASH set
to True. If you prefer your URLs not to have trailing slashes, or
if you want to decide it on a per-URL basis, set APPEND_SLASH to
False and put trailing slashes in your URLpatterns as you see fit.
The other thing to note about this URLconf is that we’ve passed the
hello view function as an object without calling the function. This is a
key feature of Python (and other dynamic languages): functions are first-class
objects, which means you can pass them around just like any other variables.
Cool stuff, eh?
To test our changes to the URLconf, start the Django development server, as you
did in Chapter 2, by running the command python manage.py runserver. (If you
left it running, that’s fine, too. The development server automatically detects
changes to your Python code and reloads as necessary, so you don’t have to
restart the server between changes.) The server is running at the address
http://127.0.0.1:8000/, so open up a Web browser and go to
http://127.0.0.1:8000/hello/. You should see the text “Hello world” – the
output of your Django view.
Hooray! You’ve made your first Django-powered Web page.
Regular Expressions
Regular expressions (or regexes) are a compact way of specifying
patterns in text. While Django URLconfs allow arbitrary regexes for
powerful URL matching, you’ll probably only use a few regex symbols in
practice. Here’s a selection of common symbols:
Symbol |
Matches |
. (dot) |
Any single character |
\d |
Any single digit |
[A-Z] |
Any character between A and Z (uppercase) |
[a-z] |
Any character between a and z (lowercase) |
[A-Za-z] |
Any character between a and z (case-insensitive) |
+ |
One or more of the previous expression (e.g., \d+
matches one or more digits) |
[^/]+ |
One or more characters until (and not including) a
forward slash |
? |
Zero or one of the previous expression (e.g., \d?
matches zero or one digits) |
* |
Zero or more of the previous expression (e.g., \d*
matches zero, one or more than one digit) |
{1,3} |
Between one and three (inclusive) of the previous
expression (e.g., \d{1,3} matches one, two or three
digits) |
For more on regular expressions, see http://www.djangoproject.com/r/python/re-module/.
A Quick Note About 404 Errors
At this point, our URLconf defines only a single URLpattern: the one that
handles requests to the URL /hello/. What happens when you request a
different URL?
To find out, try running the Django development server and visiting a page such
as http://127.0.0.1:8000/goodbye/ or
http://127.0.0.1:8000/hello/subdirectory/, or even http://127.0.0.1:8000/
(the site “root”). You should see a “Page not found” message (see Figure 3-1).
Django displays this message because you requested a URL that’s not defined in
your URLconf.
The utility of this page goes beyond the basic 404 error message. It also tells
you precisely which URLconf Django used and every pattern in that URLconf. From
that information, you should be able to tell why the requested URL threw a 404.
Naturally, this is sensitive information intended only for you, the Web
developer. If this were a production site deployed live on the Internet, you
wouldn’t want to expose that information to the public. For that reason, this
“Page not found” page is only displayed if your Django project is in debug
mode. We’ll explain how to deactivate debug mode later. For now, just know
that every Django project is in debug mode when you first create it, and if the
project is not in debug mode, Django outputs a different 404 response.
A Quick Note About The Site Root
As explained in the last section, you’ll see a 404 error message if you view
the site root – http://127.0.0.1:8000/. Django doesn’t add magically
anything to the site root; that URL is not special-cased in any way. It’s up to
you to assign it to a URLpattern, just like every other entry in your URLconf.
The URLpattern to match the site root is a bit unintuitive, though, so it’s
worth mentioning. When you’re ready to implement a view for the site root, use
the URLpattern '^$', which matches an empty string. For example:
from mysite.views import hello, my_homepage_view
urlpatterns = patterns('',
url(r'^$', my_homepage_view),
# ...
)
How Django Processes a Request
Before continuing to our second view function, let’s pause to learn a little
more about how Django works. Specifically, when you view your “Hello world”
message by visiting http://127.0.0.1:8000/hello/ in your Web browser, what
does Django do behind the scenes?
It all starts with the settings file. When you run python manage.py
runserver, the script looks for a file called settings.py in the inner
mysite directory. This file contains all sorts of configuration for this
particular Django project, all in uppercase: TEMPLATE_DIRS, DATABASES,
etc. The most important setting is called ROOT_URLCONF. ROOT_URLCONF
tells Django which Python module should be used as the URLconf for this Web
site.
Remember when django-admin.py startproject created the files
settings.py and urls.py? The autogenerated settings.py contains a
ROOT_URLCONF setting that points to the autogenerated urls.py. Open the
settings.py file and see for yourself; it should look like this:
ROOT_URLCONF = 'mysite.urls'
This corresponds to the file mysite/urls.py.
When a request comes in for a particular URL – say, a request for /hello/
– Django loads the URLconf pointed to by the ROOT_URLCONF setting. Then it
checks each of the URLpatterns in that URLconf, in order, comparing the
requested URL with the patterns one at a time, until it finds one that matches.
When it finds one that matches, it calls the view function associated with that
pattern, passing it an HttpRequest object as the first parameter. (We’ll
cover the specifics of HttpRequest later.)
As we saw in our first view example, a view function must return an
HttpResponse. Once it does this, Django does the rest, converting the
Python object to a proper Web response with the appropriate HTTP headers and
body (i.e., the content of the Web page).
In summary:
- A request comes in to /hello/.
- Django determines the root URLconf by looking at the ROOT_URLCONF
setting.
- Django looks at all of the URLpatterns in the URLconf for the first one
that matches /hello/.
- If it finds a match, it calls the associated view function.
- The view function returns an HttpResponse.
- Django converts the HttpResponse to the proper HTTP response, which
results in a Web page.
You now know the basics of how to make Django-powered pages. It’s quite simple,
really – just write view functions and map them to URLs via URLconfs.
Your Second View: Dynamic Content
Our “Hello world” view was instructive in demonstrating the basics of how
Django works, but it wasn’t an example of a dynamic Web page, because the
content of the page are always the same. Every time you view /hello/,
you’ll see the same thing; it might as well be a static HTML file.
For our second view, let’s create something more dynamic – a Web page that
displays the current date and time. This is a nice, simple next step, because
it doesn’t involve a database or any user input – just the output of your
server’s internal clock. It’s only marginally more exciting than “Hello world,”
but it’ll demonstrate a few new concepts.
This view needs to do two things: calculate the current date and time, and
return an HttpResponse containing that value. If you have experience with
Python, you know that Python includes a datetime module for calculating
dates. Here’s how to use it:
>>> import datetime
>>> now = datetime.datetime.now()
>>> now
datetime.datetime(2008, 12, 13, 14, 9, 39, 2731)
>>> print now
2008-12-13 14:09:39.002731
That’s simple enough, and it has nothing to do with Django. It’s just Python
code. (We want to emphasize that you should be aware of what code is “just
Python” vs. code that is Django-specific. As you learn Django, we want you to
be able to apply your knowledge to other Python projects that don’t necessarily
use Django.)
To make a Django view that displays the current date and time, then, we just
need to hook this datetime.datetime.now() statement into a view and return
an HttpResponse. Here’s how that looks:
from django.http import HttpResponse
import datetime
def current_datetime(request):
now = datetime.datetime.now()
html = "<html><body>It is now %s.</body></html>" % now
return HttpResponse(html)
As with our hello view function, this should live in views.py. Note
that we’ve hidden the hello function from this example for brevity, but for
the sake of completeness, here’s what the entire views.py looks like:
from django.http import HttpResponse
import datetime
def hello(request):
return HttpResponse("Hello world")
def current_datetime(request):
now = datetime.datetime.now()
html = "<html><body>It is now %s.</body></html>" % now
return HttpResponse(html)
(From now on, we won’t display previous code in code examples, except when
necessary. You should be able to tell from context which parts of an example
are new vs. old.)
Let’s step through the changes we’ve made to views.py to accommodate
the current_datetime view.
We’ve added an import datetime to the top of the module, so we can
calculate dates.
The new current_datetime function calculates the current date and
time, as a datetime.datetime object, and stores that as the local
variable now.
The second line of code within the view constructs an HTML response using
Python’s “format-string” capability. The %s within the string is a
placeholder, and the percent sign after the string means “Replace the
%s in the preceding string with the value of the variable now.”
The now variable is technically a datetime.datetime object, not
a string, but the %s format character converts it to its string
representation, which is something like "2008-12-13 14:09:39.002731".
This will result in an HTML string such as
"<html><body>It is now 2008-12-13 14:09:39.002731.</body></html>".
(Yes, our HTML is invalid, but we’re trying to keep the example simple
and short.)
Finally, the view returns an HttpResponse object that contains the
generated response – just as we did in hello.
After adding that to views.py, add the URLpattern to urls.py to tell
Django which URL should handle this view. Something like /time/ would make
sense:
from django.conf.urls.defaults import patterns, include, url
from mysite.views import hello, current_datetime
urlpatterns = patterns('',
url(r'^hello/$', hello),
url(r'^time/$', current_datetime),
)
We’ve made two changes here. First, we imported the current_datetime
function at the top. Second, and more importantly, we added a URLpattern
mapping the URL /time/ to that new view. Getting the hang of this?
With the view written and URLconf updated, fire up the runserver and visit
http://127.0.0.1:8000/time/ in your browser. You should see the current
date and time.
Django’s Time Zone
Depending on your computer, the date and time may be a few hours off.
That’s because Django is time zone-aware and defaults to the
America/Chicago time zone. (It has to default to something, and that’s
the time zone where the original developers live.) If you live elsewhere,
you’ll want to change it in settings.py. See the comment in that file
for a link to an up-to-date list of worldwide time zone options.
URLconfs and Loose Coupling
Now’s a good time to highlight a key philosophy behind URLconfs and behind
Django in general: the principle of loose coupling. Simply put, loose coupling
is a software-development approach that values the importance of making pieces
interchangeable. If two pieces of code are loosely coupled, then changes made to
one of the pieces will have little or no effect on the other.
Django’s URLconfs are a good example of this principle in practice. In a Django
web application, the URL definitions and the view functions they call are
loosely coupled; that is, the decision of what the URL should be for a given
function, and the implementation of the function itself, reside in two separate
places. This lets you switch out one piece without affecting the other.
For example, consider our current_datetime view. If we wanted to change the
URL for the application – say, to move it from /time/ to
/current-time/ – we could make a quick change to the URLconf, without
having to worry about the view itself. Similarly, if we wanted to change the
view function – altering its logic somehow – we could do that without
affecting the URL to which the function is bound.
Furthermore, if we wanted to expose the current-date functionality at
several URLs, we could easily take care of that by editing the URLconf,
without having to touch the view code. In this example, our
current_datetime is available at two URLs. It’s a contrived example, but
this technique can come in handy:
urlpatterns = patterns('',
url(r'^hello/$', hello),
url(r'^time/$', current_datetime),
url(r'^another-time-page/$', current_datetime),
)
URLconfs and views are loose coupling in action. We’ll continue to point out
examples of this important philosophy throughout this book.
Your Third View: Dynamic URLs
In our current_datetime view, the contents of the page – the current
date/time – were dynamic, but the URL (/time/) was static. In most dynamic
Web applications, though, a URL contains parameters that influence the output
of the page. For example, an online bookstore might give each book its own URL,
like /books/243/ and /books/81196/.
Let’s create a third view that displays the current date and time offset by a
certain number of hours. The goal is to craft a site in such a way that the page
/time/plus/1/ displays the date/time one hour into the future, the page
/time/plus/2/ displays the date/time two hours into the future, the page
/time/plus/3/ displays the date/time three hours into the future, and so
on.
A novice might think to code a separate view function for each hour offset,
which might result in a URLconf like this:
urlpatterns = patterns('',
url(r'^time/$', current_datetime),
url(r'^time/plus/1/$', one_hour_ahead),
url(r'^time/plus/2/$', two_hours_ahead),
url(r'^time/plus/3/$', three_hours_ahead),
url(r'^time/plus/4/$', four_hours_ahead),
)
Clearly, this line of thought is flawed. Not only would this result in redundant
view functions, but also the application is fundamentally limited to supporting
only the predefined hour ranges – one, two, three or four hours. If we decided
to create a page that displayed the time five hours into the future, we’d
have to create a separate view and URLconf line for that, furthering the
duplication. We need to do some abstraction here.
A Word About Pretty URLs
If you’re experienced in another Web development platform, such as PHP or
Java, you may be thinking, “Hey, let’s use a query string parameter!” –
something like /time/plus?hours=3, in which the hours would be
designated by the hours parameter in the URL’s query string (the part
after the ?).
You can do that with Django (and we’ll tell you how in Chapter 7), but
one of Django’s core philosophies is that URLs should be beautiful. The URL
/time/plus/3/ is far cleaner, simpler, more readable, easier to recite
to somebody aloud and . . . just plain prettier than its query string
counterpart. Pretty URLs are a characteristic of a quality Web application.
Django’s URLconf system encourages pretty URLs by making it easier to use
pretty URLs than not to.
How, then do we design our application to handle arbitrary hour offsets? The
key is to use wildcard URLpatterns. As we mentioned previously, a URLpattern
is a regular expression; hence, we can use the regular expression pattern
\d+ to match one or more digits:
urlpatterns = patterns('',
# ...
url(r'^time/plus/\d+/$', hours_ahead),
# ...
)
(We’re using the # ... to imply there might be other URLpatterns that we
trimmed from this example.)
This new URLpattern will match any URL such as /time/plus/2/,
/time/plus/25/, or even /time/plus/100000000000/. Come to think of it,
let’s limit it so that the maximum allowed offset is 99 hours. That means we
want to allow either one- or two-digit numbers – and in regular expression
syntax, that translates into \d{1,2}:
url(r'^time/plus/\d{1,2}/$', hours_ahead),
Note
When building Web applications, it’s always important to consider the most
outlandish data input possible, and decide whether or not the application
should support that input. We’ve curtailed the outlandishness here by
limiting the offset to 99 hours.
Now that we’ve designated a wildcard for the URL, we need a way of passing that
wildcard data to the view function, so that we can use a single view function
for any arbitrary hour offset. We do this by placing parentheses around the
data in the URLpattern that we want to save. In the case of our example, we
want to save whatever number was entered in the URL, so let’s put parentheses
around the \d{1,2}, like this:
url(r'^time/plus/(\d{1,2})/$', hours_ahead),
If you’re familiar with regular expressions, you’ll be right at home here;
we’re using parentheses to capture data from the matched text.
The final URLconf, including our previous two views, looks like this:
from django.conf.urls.defaults import *
from mysite.views import hello, current_datetime, hours_ahead
urlpatterns = patterns('',
url(r'^hello/$', hello),
url(r'^time/$', current_datetime),
url(r'^time/plus/(\d{1,2})/$', hours_ahead),
)
With that taken care of, let’s write the hours_ahead view.
hours_ahead is very similar to the current_datetime view we wrote
earlier, with a key difference: it takes an extra argument, the number of hours
of offset. Here’s the view code:
from django.http import Http404, HttpResponse
import datetime
def hours_ahead(request, offset):
try:
offset = int(offset)
except ValueError:
raise Http404()
dt = datetime.datetime.now() + datetime.timedelta(hours=offset)
html = "<html><body>In %s hour(s), it will be %s.</body></html>" % (offset, dt)
return HttpResponse(html)
Let’s step through this code one line at a time:
The view function, hours_ahead, takes two parameters: request
and offset.
request is an HttpRequest object, just as in hello and
current_datetime. We’ll say it again: each view always takes an
HttpRequest object as its first parameter.
offset is the string captured by the parentheses in the
URLpattern. For example, if the requested URL were /time/plus/3/,
then offset would be the string '3'. If the requested URL were
/time/plus/21/, then offset would be the string '21'. Note
that captured values will always be strings, not integers, even if
the string is composed of only digits, such as '21'.
(Technically, captured values will always be Unicode objects, not
plain Python bytestrings, but don’t worry about this distinction at
the moment.)
We decided to call the variable offset, but you can call it
whatever you’d like, as long as it’s a valid Python identifier. The
variable name doesn’t matter; all that matters is that it’s the second
argument to the function, after request. (It’s also possible to
use keyword, rather than positional, arguments in an URLconf. We cover
that in Chapter 8.)
The first thing we do within the function is call int() on offset.
This converts the string value to an integer.
Note that Python will raise a ValueError exception if you call
int() on a value that cannot be converted to an integer, such as the
string 'foo'. In this example, if we encounter the ValueError, we
raise the exception django.http.Http404, which, as you can imagine,
results in a 404 “Page not found” error.
Astute readers will wonder: how could we ever reach the ValueError
case, anyway, given that the regular expression in our URLpattern –
(\d{1,2}) – captures only digits, and therefore offset will only
ever be a string composed of digits? The answer is, we won’t, because
the URLpattern provides a modest but useful level of input validation,
but we still check for the ValueError in case this view function
ever gets called in some other way. It’s good practice to implement view
functions such that they don’t make any assumptions about their
parameters. Loose coupling, remember?
In the next line of the function, we calculate the current date/time and
add the appropriate number of hours. We’ve already seen
datetime.datetime.now() from the current_datetime view; the new
concept here is that you can perform date/time arithmetic by creating a
datetime.timedelta object and adding to a datetime.datetime
object. Our result is stored in the variable dt.
This line also shows why we called int() on offset – the
datetime.timedelta function requires the hours parameter to be an
integer.
Next, we construct the HTML output of this view function, just as we did
in current_datetime. A small difference in this line from the previous
line is that it uses Python’s format-string capability with two values,
not just one. Hence, there are two %s symbols in the string and a
tuple of values to insert: (offset, dt).
Finally, we return an HttpResponse of the HTML. By now, this is old
hat.
With that view function and URLconf written, start the Django development server
(if it’s not already running), and visit http://127.0.0.1:8000/time/plus/3/
to verify it works. Then try http://127.0.0.1:8000/time/plus/5/. Then
http://127.0.0.1:8000/time/plus/24/. Finally, visit
http://127.0.0.1:8000/time/plus/100/ to verify that the pattern in your
URLconf only accepts one- or two-digit numbers; Django should display a “Page
not found” error in this case, just as we saw in the section “A Quick Note
About 404 Errors” earlier. The URL http://127.0.0.1:8000/time/plus/ (with
no hour designation) should also throw a 404.
Coding Order
In this example, we wrote the URLpattern first and the view second, but in
the previous examples, we wrote the view first, then the URLpattern. Which
technique is better?
Well, every developer is different.
If you’re a big-picture type of person, it may make the most sense to you
to write all of the URLpatterns for your application at the same time, at
the start of your project, and then code up the views. This has the
advantage of giving you a clear to-do list, and it essentially defines the
parameter requirements for the view functions you’ll need to write.
If you’re more of a bottom-up developer, you might prefer to write the
views first, and then anchor them to URLs afterward. That’s OK, too.
In the end, it comes down to which technique fits your brain the best. Both
approaches are valid.
Django’s Pretty Error Pages
Take a moment to admire the fine Web application we’ve made so far . . . now
let’s break it! Let’s deliberately introduce a Python error into our
views.py file by commenting out the offset = int(offset) lines in the
hours_ahead view:
def hours_ahead(request, offset):
# try:
# offset = int(offset)
# except ValueError:
# raise Http404()
dt = datetime.datetime.now() + datetime.timedelta(hours=offset)
html = "<html><body>In %s hour(s), it will be %s.</body></html>" % (offset, dt)
return HttpResponse(html)
Load up the development server and navigate to /time/plus/3/. You’ll see an
error page with a significant amount of information, including a TypeError
message displayed at the very top: "unsupported type for timedelta hours
component: unicode".
What happened? Well, the datetime.timedelta function expects the hours
parameter to be an integer, and we commented out the bit of code that converted
offset to an integer. That caused datetime.timedelta to raise the
TypeError. It’s the typical kind of small bug that every programmer runs
into at some point.
The point of this example was to demonstrate Django’s error pages. Take some
time to explore the error page and get to know the various bits of information
it gives you.
Here are some things to notice:
At the top of the page, you get the key information about the exception:
the type of exception, any parameters to the exception (the "unsupported
type" message in this case), the file in which the exception was raised,
and the offending line number.
Under the key exception information, the page displays the full Python
traceback for this exception. This is similar to the standard traceback
you get in Python’s command-line interpreter, except it’s more
interactive. For each level (“frame”) in the stack, Django displays the
name of the file, the function/method name, the line number, and the
source code of that line.
Click the line of source code (in dark gray), and you’ll see several
lines from before and after the erroneous line, to give you context.
Click “Local vars” under any frame in the stack to view a table of all
local variables and their values, in that frame, at the exact point in the
code at which the exception was raised. This debugging information can be
a great help.
Note the “Switch to copy-and-paste view” text under the “Traceback”
header. Click those words, and the traceback will switch to a alternate
version that can be easily copied and pasted. Use this when you want to
share your exception traceback with others to get technical support –
such as the kind folks in the Django IRC chat room or on the Django users
mailing list.
Underneath, the “Share this traceback on a public Web site” button will
do this work for you in just one click. Click it to post the traceback to
http://www.dpaste.com/, where you’ll get a distinct URL that you can
share with other people.
Next, the “Request information” section includes a wealth of information
about the incoming Web request that spawned the error: GET and POST
information, cookie values, and meta information, such as CGI headers.
Appendix G has a complete reference of all the information a request
object contains.
Below the “Request information” section, the “Settings” section lists all
of the settings for this particular Django installation. (We’ve already
mentioned ROOT_URLCONF, and we’ll show you various Django settings
throughout the book. All the available settings are covered in detail in
Appendix D.)
The Django error page is capable of displaying more information in certain
special cases, such as the case of template syntax errors. We’ll get to those
later, when we discuss the Django template system. For now, uncomment the
offset = int(offset) lines to get the view function working properly again.
Are you the type of programmer who likes to debug with the help of carefully
placed print statements? You can use the Django error page to do so – just
without the print statements. At any point in your view, temporarily insert
an assert False to trigger the error page. Then, you can view the local
variables and state of the program. Here’s an example, using the
hours_ahead view:
def hours_ahead(request, offset):
try:
offset = int(offset)
except ValueError:
raise Http404()
dt = datetime.datetime.now() + datetime.timedelta(hours=offset)
assert False
html = "<html><body>In %s hour(s), it will be %s.</body></html>" % (offset, dt)
return HttpResponse(html)
Finally, it’s obvious that much of this information is sensitive – it exposes
the innards of your Python code and Django configuration – and it would be
foolish to show this information on the public Internet. A malicious person
could use it to attempt to reverse-engineer your Web application and do nasty
things. For that reason, the Django error page is only displayed when your
Django project is in debug mode. We’ll explain how to deactivate debug mode
in Chapter 12. For now, just know that every Django project is in debug mode
automatically when you start it. (Sound familiar? The “Page not found” errors,
described earlier in this chapter, work the same way.)
What’s next?
So far, we’ve been writing our view functions with HTML hard-coded directly
in the Python code. We’ve done that to keep things simple while we demonstrated
core concepts, but in the real world, this is nearly always a bad idea.
Django ships with a simple yet powerful template engine that allows you to
separate the design of the page from the underlying code. We’ll dive into
Django’s template engine in the next chapter Chapter 4.
Chapter 4: Templates
In the previous chapter, you may have noticed something peculiar in how we
returned the text in our example views. Namely, the HTML was hard-coded directly
in our Python code, like this:
def current_datetime(request):
now = datetime.datetime.now()
html = "<html><body>It is now %s.</body></html>" % now
return HttpResponse(html)
Although this technique was convenient for the purpose of explaining how views
work, it’s not a good idea to hard-code HTML directly in your views. Here’s
why:
- Any change to the design of the page requires a change to
the Python code. The design of a site tends to change far more frequently
than the underlying Python code, so it would be convenient if
the design could change without needing to modify the Python code.
- Writing Python code and designing HTML are two different disciplines, and
most professional Web development environments split these
responsibilities between separate people (or even separate departments).
Designers and HTML/CSS coders shouldn’t be required to edit Python code
to get their job done.
- It’s most efficient if programmers can work on Python code and designers
can work on templates at the same time, rather than one person waiting
for the other to finish editing a single file that contains both Python
and HTML.
For these reasons, it’s much cleaner and more maintainable to separate the
design of the page from the Python code itself. We can do this with Django’s
template system, which we discuss in this chapter.
Template System Basics
A Django template is a string of text that is intended to separate the
presentation of a document from its data. A template defines placeholders and
various bits of basic logic (template tags) that regulate how the document
should be displayed. Usually, templates are used for producing HTML, but Django
templates are equally capable of generating any text-based format.
Let’s start with a simple example template. This Django template describes an
HTML page that thanks a person for placing an order with a company. Think of it
as a form letter:
<html>
<head><title>Ordering notice</title></head>
<body>
<h1>Ordering notice</h1>
<p>Dear {{ person_name }},</p>
<p>Thanks for placing an order from {{ company }}. It's scheduled to
ship on {{ ship_date|date:"F j, Y" }}.</p>
<p>Here are the items you've ordered:</p>
<ul>
{% for item in item_list %}
<li>{{ item }}</li>
{% endfor %}
</ul>
{% if ordered_warranty %}
<p>Your warranty information will be included in the packaging.</p>
{% else %}
<p>You didn't order a warranty, so you're on your own when
the products inevitably stop working.</p>
{% endif %}
<p>Sincerely,<br />{{ company }}</p>
</body>
</html>
This template is basic HTML with some variables and template tags thrown in.
Let’s step through it:
Any text surrounded by a pair of braces (e.g., {{ person_name }}) is a
variable. This means “insert the value of the variable with the given
name.” (How do we specify the values of the variables? We’ll get to that in
a moment.)
Any text that’s surrounded by curly braces and percent signs (e.g., {%
if ordered_warranty %}) is a template tag. The definition of a tag is
quite broad: a tag just tells the template system to “do something.”
This example template contains a for tag ({% for item in item_list
%}) and an if tag ({% if ordered_warranty %}).
A for tag works very much like a for statement in Python, letting
you loop over each item in a sequence. An if tag, as you may expect,
acts as a logical “if” statement. In this particular case, the tag checks
whether the value of the ordered_warranty variable evaluates to
True. If it does, the template system will display everything between
the {% if ordered_warranty %} and {% else %}. If not, the
template system will display everything between {% else %} and
{% endif %}. Note that the {% else %} is optional.
Finally, the second paragraph of this template contains an example of a
filter, which is the most convenient way to alter the formatting of a
variable. In this example, {{ ship_date|date:"F j, Y" }}, we’re passing the
ship_date variable to the date filter, giving the date filter
the argument "F j, Y". The date filter formats dates in a given
format, as specified by that argument. Filters are attached using a pipe
character (|), as a reference to Unix pipes.
Each Django template has access to several built-in tags and filters, many of
which are discussed in the sections that follow. Appendix E contains the full
list of tags and filters, and it’s a good idea to familiarize yourself with that
list so you know what’s possible. It’s also possible to create your own filters
and tags; we’ll cover that in Chapter 9.
Using the Template System
Let’s dive into Django’s template system so you can see how it works – but
we’re not yet going to integrate it with the views that we created in the
previous chapter. Our goal here is to show you how the system works
independently of the rest of Django. (Put another way: usually you’ll be using
the template system within a Django view, but we want to make it clear that the
template system is just a Python library that you can use anywhere, not just
in Django views.)
Here is the most basic way you can use Django’s template system in Python code:
- Create a Template object by providing the raw template code as a
string.
- Call the render() method of the Template object with a given
set of variables (the context). This returns a fully rendered
template as a string, with all of the variables and template tags
evaluated according to the context.
In code, here’s what that looks like:
>>> from django import template
>>> t = template.Template('My name is {{ name }}.')
>>> c = template.Context({'name': 'Adrian'})
>>> print t.render(c)
My name is Adrian.
>>> c = template.Context({'name': 'Fred'})
>>> print t.render(c)
My name is Fred.
The following sections describe each step in much more detail.
Creating Template Objects
The easiest way to create a Template object is to instantiate it directly.
The Template class lives in the django.template module, and the
constructor takes one argument, the raw template code. Let’s dip into the Python
interactive interpreter to see how this works in code.
From the mysite project directory created by django-admin.py
startproject (as covered in Chapter 2), type python manage.py shell to
start the interactive interpreter.
A special Python prompt
If you’ve used Python before, you may be wondering why we’re running
python manage.py shell instead of just python. Both commands will
start the interactive interpreter, but the manage.py shell command has
one key difference: before starting the interpreter, it tells Django which
settings file to use. Many parts of Django, including the template system,
rely on your settings, and you won’t be able to use them unless the
framework knows which settings to use.
If you’re curious, here’s how it works behind the scenes. Django looks for
an environment variable called DJANGO_SETTINGS_MODULE, which should be
set to the import path of your settings.py. For example,
DJANGO_SETTINGS_MODULE might be set to 'mysite.settings', assuming
mysite is on your Python path.
When you run python manage.py shell, the command takes care of setting
DJANGO_SETTINGS_MODULE for you. We’re encouraging you to use
python manage.py shell in these examples so as to minimize the amount
of tweaking and configuring you have to do.
Let’s go through some template system basics:
>>> from django.template import Template
>>> t = Template('My name is {{ name }}.')
>>> print t
If you’re following along interactively, you’ll see something like this:
<django.template.Template object at 0xb7d5f24c>
That 0xb7d5f24c will be different every time, and it isn’t relevant; it’s a
Python thing (the Python “identity” of the Template object, if you must
know).
When you create a Template object, the template system compiles the raw
template code into an internal, optimized form, ready for rendering. But if your
template code includes any syntax errors, the call to Template() will cause
a TemplateSyntaxError exception:
>>> from django.template import Template
>>> t = Template('{% notatag %}')
Traceback (most recent call last):
File "<stdin>", line 1, in ?
...
django.template.TemplateSyntaxError: Invalid block tag: 'notatag'
The term “block tag” here refers to {% notatag %}. “Block tag” and
“template tag” are synonymous.
The system raises a TemplateSyntaxError exception for any of the following
cases:
- Invalid tags
- Invalid arguments to valid tags
- Invalid filters
- Invalid arguments to valid filters
- Invalid template syntax
- Unclosed tags (for tags that require closing tags)
Rendering a Template
Once you have a Template object, you can pass it data by giving it a
context. A context is simply a set of template variable names and their
associated values. A template uses this to populate its variables and
evaluate its tags.
A context is represented in Django by the Context class, which lives in the
django.template module. Its constructor takes one optional argument: a
dictionary mapping variable names to variable values. Call the Template
object’s render() method with the context to “fill” the template:
>>> from django.template import Context, Template
>>> t = Template('My name is {{ name }}.')
>>> c = Context({'name': 'Stephane'})
>>> t.render(c)
u'My name is Stephane.'
One thing we should point out here is that the return value of t.render(c)
is a Unicode object – not a normal Python string. You can tell this by the
u in front of the string. Django uses Unicode objects instead of normal
strings throughout the framework. If you understand the repercussions of that,
be thankful for the sophisticated things Django does behind the scenes to make
it work. If you don’t understand the repercussions of that, don’t worry for
now; just know that Django’s Unicode support makes it relatively painless for
your applications to support a wide variety of character sets beyond the basic
“A-Z” of the English language.
Dictionaries and Contexts
A Python dictionary is a mapping between known keys and variable
values. A Context is similar to a dictionary, but a Context
provides additional functionality, as covered in Chapter 9.
Variable names must begin with a letter (A-Z or a-z) and may contain more
letters, digits, underscores, and dots. (Dots are a special case we’ll get to in a moment.)
Variable names are case sensitive.
Here’s an example of template compilation and rendering, using a template
similar to the example in the beginning of this chapter:
>>> from django.template import Template, Context
>>> raw_template = """<p>Dear {{ person_name }},</p>
...
... <p>Thanks for placing an order from {{ company }}. It's scheduled to
... ship on {{ ship_date|date:"F j, Y" }}.</p>
...
... {% if ordered_warranty %}
... <p>Your warranty information will be included in the packaging.</p>
... {% else %}
... <p>You didn't order a warranty, so you're on your own when
... the products inevitably stop working.</p>
... {% endif %}
...
... <p>Sincerely,<br />{{ company }}</p>"""
>>> t = Template(raw_template)
>>> import datetime
>>> c = Context({'person_name': 'John Smith',
... 'company': 'Outdoor Equipment',
... 'ship_date': datetime.date(2009, 4, 2),
... 'ordered_warranty': False})
>>> t.render(c)
u"<p>Dear John Smith,</p>\n\n<p>Thanks for placing an order from Outdoor
Equipment. It's scheduled to\nship on April 2, 2009.</p>\n\n\n<p>You
didn't order a warranty, so you're on your own when\nthe products
inevitably stop working.</p>\n\n\n<p>Sincerely,<br />Outdoor Equipment
</p>"
Let’s step through this code one statement at a time:
First, we import the classes Template and Context, which both
live in the module django.template.
We save the raw text of our template into the variable
raw_template. Note that we use triple quote marks to designate the
string, because it wraps over multiple lines; in contrast, strings
within single quote marks cannot be wrapped over multiple lines.
Next, we create a template object, t, by passing raw_template to
the Template class constructor.
We import the datetime module from Python’s standard library,
because we’ll need it in the following statement.
Then, we create a Context object, c. The Context
constructor takes a Python dictionary, which maps variable names to
values. Here, for example, we specify that the person_name
is 'John Smith', company is 'Outdoor Equipment', and so forth.
Finally, we call the render() method on our template object, passing
it the context. This returns the rendered template – i.e., it replaces
template variables with the actual values of the variables, and it
executes any template tags.
Note that the “You didn’t order a warranty” paragraph was displayed
because the ordered_warranty variable evaluated to False. Also
note the date, April 2, 2009, which is displayed according to the
format string 'F j, Y'. (We’ll explain format strings for the
date filter in a little while.)
If you’re new to Python, you may wonder why this output includes
newline characters ('\n') rather than displaying the line breaks.
That’s happening because of a subtlety in the Python interactive
interpreter: the call to t.render(c) returns a string, and by default
the interactive interpreter displays the representation of the string,
rather than the printed value of the string. If you want to see the
string with line breaks displayed as true line breaks rather than '\n'
characters, use the print statement: print t.render(c).
Those are the fundamentals of using the Django template system: just write a
template string, create a Template object, create a Context, and call
the render() method.
Multiple Contexts, Same Template
Once you have a Template object, you can render multiple contexts through
it. For example:
>>> from django.template import Template, Context
>>> t = Template('Hello, {{ name }}')
>>> print t.render(Context({'name': 'John'}))
Hello, John
>>> print t.render(Context({'name': 'Julie'}))
Hello, Julie
>>> print t.render(Context({'name': 'Pat'}))
Hello, Pat
Whenever you’re using the same template source to render multiple
contexts like this, it’s more efficient to create the Template
object once, and then call render() on it multiple times:
# Bad
for name in ('John', 'Julie', 'Pat'):
t = Template('Hello, {{ name }}')
print t.render(Context({'name': name}))
# Good
t = Template('Hello, {{ name }}')
for name in ('John', 'Julie', 'Pat'):
print t.render(Context({'name': name}))
Django’s template parsing is quite fast. Behind the scenes, most of the parsing
happens via a call to a single regular expression. This is in stark
contrast to XML-based template engines, which incur the overhead of an XML
parser and tend to be orders of magnitude slower than Django’s template
rendering engine.
Context Variable Lookup
In the examples so far, we’ve passed simple values in the contexts – mostly
strings, plus a datetime.date example. However, the template system
elegantly handles more complex data structures, such as lists, dictionaries, and
custom objects.
The key to traversing complex data structures in Django templates is the dot
character (.). Use a dot to access dictionary keys, attributes, methods,
or indices of an object.
This is best illustrated with a few examples. For instance, suppose
you’re passing a Python dictionary to a template. To access the values
of that dictionary by dictionary key, use a dot:
>>> from django.template import Template, Context
>>> person = {'name': 'Sally', 'age': '43'}
>>> t = Template('{{ person.name }} is {{ person.age }} years old.')
>>> c = Context({'person': person})
>>> t.render(c)
u'Sally is 43 years old.'
Similarly, dots also allow access of object attributes. For example, a Python
datetime.date object has year, month, and day attributes, and
you can use a dot to access those attributes in a Django template:
>>> from django.template import Template, Context
>>> import datetime
>>> d = datetime.date(1993, 5, 2)
>>> d.year
1993
>>> d.month
5
>>> d.day
2
>>> t = Template('The month is {{ date.month }} and the year is {{ date.year }}.')
>>> c = Context({'date': d})
>>> t.render(c)
u'The month is 5 and the year is 1993.'
This example uses a custom class, demonstrating that variable dots also allow
attribute access on arbitrary objects:
>>> from django.template import Template, Context
>>> class Person(object):
... def __init__(self, first_name, last_name):
... self.first_name, self.last_name = first_name, last_name
>>> t = Template('Hello, {{ person.first_name }} {{ person.last_name }}.')
>>> c = Context({'person': Person('John', 'Smith')})
>>> t.render(c)
u'Hello, John Smith.'
Dots can also refer to methods on objects. For example, each Python string
has the methods upper() and isdigit(), and you can call those in Django
templates using the same dot syntax:
>>> from django.template import Template, Context
>>> t = Template('{{ var }} -- {{ var.upper }} -- {{ var.isdigit }}')
>>> t.render(Context({'var': 'hello'}))
u'hello -- HELLO -- False'
>>> t.render(Context({'var': '123'}))
u'123 -- 123 -- True'
Note that you do not include parentheses in the method calls. Also, it’s not
possible to pass arguments to the methods; you can only call methods that have
no required arguments. (We explain this philosophy later in this chapter.)
Finally, dots are also used to access list indices, for example:
>>> from django.template import Template, Context
>>> t = Template('Item 2 is {{ items.2 }}.')
>>> c = Context({'items': ['apples', 'bananas', 'carrots']})
>>> t.render(c)
u'Item 2 is carrots.'
Negative list indices are not allowed. For example, the template variable
{{ items.-1 }} would cause a TemplateSyntaxError.
Python Lists
A reminder: Python lists have 0-based indices. The first item is at index 0,
the second is at index 1, and so on.
Dot lookups can be summarized like this: when the template system
encounters a dot in a variable name, it tries the following lookups, in this
order:
- Dictionary lookup (e.g., foo["bar"])
- Attribute lookup (e.g., foo.bar)
- Method call (e.g., foo.bar())
- List-index lookup (e.g., foo[2])
The system uses the first lookup type that works. It’s short-circuit logic.
Dot lookups can be nested multiple levels deep. For instance, the following
example uses {{ person.name.upper }}, which translates into a dictionary
lookup (person['name']) and then a method call (upper()):
>>> from django.template import Template, Context
>>> person = {'name': 'Sally', 'age': '43'}
>>> t = Template('{{ person.name.upper }} is {{ person.age }} years old.')
>>> c = Context({'person': person})
>>> t.render(c)
u'SALLY is 43 years old.'
Method Call Behavior
Method calls are slightly more complex than the other lookup types. Here are
some things to keep in mind:
If, during the method lookup, a method raises an exception, the exception
will be propagated, unless the exception has an attribute
silent_variable_failure whose value is True. If the exception
does have a silent_variable_failure attribute, the variable will
render as an empty string, for example:
>>> t = Template("My name is {{ person.first_name }}.")
>>> class PersonClass3:
... def first_name(self):
... raise AssertionError, "foo"
>>> p = PersonClass3()
>>> t.render(Context({"person": p}))
Traceback (most recent call last):
...
AssertionError: foo
>>> class SilentAssertionError(AssertionError):
... silent_variable_failure = True
>>> class PersonClass4:
... def first_name(self):
... raise SilentAssertionError
>>> p = PersonClass4()
>>> t.render(Context({"person": p}))
u'My name is .'
A method call will only work if the method has no required arguments.
Otherwise, the system will move to the next lookup type (list-index
lookup).
Obviously, some methods have side effects, and it would be foolish at
best, and possibly even a security hole, to allow the template system to
access them.
Say, for instance, you have a BankAccount object that has a
delete() method. If a template includes something like
{{ account.delete }}, where account is a BankAccount object,
the object would be deleted when the template is rendered!
To prevent this, set the function attribute alters_data on the
method:
def delete(self):
# Delete the account
delete.alters_data = True
The template system won’t execute any method marked in this way.
Continuing the above example, if a template includes
{{ account.delete }} and the delete() method has the
alters_data=True, then the delete() method will not be executed
when the template is rendered. Instead, it will fail silently.
How Invalid Variables Are Handled
By default, if a variable doesn’t exist, the template system renders it as an
empty string, failing silently. For example:
>>> from django.template import Template, Context
>>> t = Template('Your name is {{ name }}.')
>>> t.render(Context())
u'Your name is .'
>>> t.render(Context({'var': 'hello'}))
u'Your name is .'
>>> t.render(Context({'NAME': 'hello'}))
u'Your name is .'
>>> t.render(Context({'Name': 'hello'}))
u'Your name is .'
The system fails silently rather than raising an exception because it’s
intended to be resilient to human error. In this case, all of the
lookups failed because variable names have the wrong case or name. In the real
world, it’s unacceptable for a Web site to become inaccessible due to a
small template syntax error.
Playing with Context Objects
Most of the time, you’ll instantiate Context objects by passing in a
fully populated dictionary to Context(). But you can add and delete items
from a Context object once it’s been instantiated, too, using standard
Python dictionary syntax:
>>> from django.template import Context
>>> c = Context({"foo": "bar"})
>>> c['foo']
'bar'
>>> del c['foo']
>>> c['foo']
Traceback (most recent call last):
...
KeyError: 'foo'
>>> c['newvariable'] = 'hello'
>>> c['newvariable']
'hello'
Philosophies and Limitations
Now that you’ve gotten a feel for the Django template language, we should point
out some of its intentional limitations, along with some philosophies behind why
it works the way it works.
More than any other component of Web applications, template syntax is highly
subjective, and programmers’ opinions vary wildly. The fact that Python alone
has dozens, if not hundreds, of open source template-language implementations
supports this point. Each was likely created because its developer deemed all
existing template languages inadequate. (In fact, it is said to be a rite of
passage for a Python developer to write his or her own template language! If
you haven’t done this yet, consider it. It’s a fun exercise.)
With that in mind, you might be interested to know that Django doesn’t require
that you use its template language. Because Django is intended to be a
full-stack Web framework that provides all the pieces necessary for Web
developers to be productive, many times it’s more convenient to use Django’s
template system than other Python template libraries, but it’s not a strict
requirement in any sense. As you’ll see in the upcoming section “Using Templates
in Views”, it’s very easy to use another template language with Django.
Still, it’s clear we have a strong preference for the way Django’s template
language works. The template system has roots in how Web development is done at
World Online and the combined experience of Django’s creators. Here are a few of
those philosophies:
Business logic should be separated from presentation logic. Django’s
developers see a template system as a tool that controls presentation and
presentation-related logic – and that’s it. The template system shouldn’t
support functionality that goes beyond this basic goal.
For that reason, it’s impossible to call Python code directly within
Django templates. All “programming” is fundamentally limited to the scope
of what template tags can do. It is possible to write custom template
tags that do arbitrary things, but the out-of-the-box Django template
tags intentionally do not allow for arbitrary Python code execution.
Syntax should be decoupled from HTML/XML. Although Django’s template
system is used primarily to produce HTML, it’s intended to be just as
usable for non-HTML formats, such as plain text. Some other template
languages are XML based, placing all template logic within XML tags or
attributes, but Django deliberately avoids this limitation. Requiring
valid XML to write templates introduces a world of human mistakes and
hard-to-understand error messages, and using an XML engine to parse
templates incurs an unacceptable level of overhead in template processing.
Designers are assumed to be comfortable with HTML code. The template
system isn’t designed so that templates necessarily are displayed nicely
in WYSIWYG editors such as Dreamweaver. That is too severe a limitation
and wouldn’t allow the syntax to be as friendly as it is. Django expects
template authors to be comfortable editing HTML directly.
Designers are assumed not to be Python programmers. The template system
authors recognize that Web page templates are most often written by
designers, not programmers, and therefore should not assume Python
knowledge.
However, the system also intends to accommodate small teams in which the
templates are created by Python programmers. It offers a way to extend
the system’s syntax by writing raw Python code. (More on this in Chapter
9.)
The goal is not to invent a programming language. The goal is to offer
just enough programming-esque functionality, such as branching and
looping, that is essential for making presentation-related decisions.
Using Templates in Views
You’ve learned the basics of using the template system; now let’s use this
knowledge to create a view. Recall the current_datetime view in
mysite.views, which we started in the previous chapter. Here’s what it looks
like:
from django.http import HttpResponse
import datetime
def current_datetime(request):
now = datetime.datetime.now()
html = "<html><body>It is now %s.</body></html>" % now
return HttpResponse(html)
Let’s change this view to use Django’s template system. At first, you might
think to do something like this:
from django.template import Template, Context
from django.http import HttpResponse
import datetime
def current_datetime(request):
now = datetime.datetime.now()
t = Template("<html><body>It is now {{ current_date }}.</body></html>")
html = t.render(Context({'current_date': now}))
return HttpResponse(html)
Sure, that uses the template system, but it doesn’t solve the problems we
pointed out in the introduction of this chapter. Namely, the template is still
embedded in the Python code, so true separation of data and presentation isn’t
achieved. Let’s fix that by putting the template in a separate file, which
this view will load.
You might first consider saving your template somewhere on your
filesystem and using Python’s built-in file-opening functionality to read
the contents of the template. Here’s what that might look like, assuming the
template was saved as the file /home/djangouser/templates/mytemplate.html:
from django.template import Template, Context
from django.http import HttpResponse
import datetime
def current_datetime(request):
now = datetime.datetime.now()
# Simple way of using templates from the filesystem.
# This is BAD because it doesn't account for missing files!
fp = open('/home/djangouser/templates/mytemplate.html')
t = Template(fp.read())
fp.close()
html = t.render(Context({'current_date': now}))
return HttpResponse(html)
This approach, however, is inelegant for these reasons:
- It doesn’t handle the case of a missing file. If the file
mytemplate.html doesn’t exist or isn’t readable, the open() call
will raise an IOError exception.
- It hard-codes your template location. If you were to use this
technique for every view function, you’d be duplicating the template
locations. Not to mention it involves a lot of typing!
- It includes a lot of boring boilerplate code. You’ve got better things to
do than to write calls to open(), fp.read(), and fp.close()
each time you load a template.
To solve these issues, we’ll use template loading and template directories.
Template Loading
Django provides a convenient and powerful API for loading templates from the
filesystem, with the goal of removing redundancy both in your template-loading
calls and in your templates themselves.
In order to use this template-loading API, first you’ll need to tell the
framework where you store your templates. The place to do this is in your
settings file – the settings.py file that we mentioned last chapter, when
we introduced the ROOT_URLCONF setting.
If you’re following along, open your settings.py and find the
TEMPLATE_DIRS setting. By default, it’s an empty tuple, likely containing
some auto-generated comments:
TEMPLATE_DIRS = (
# Put strings here, like "/home/html/django_templates" or "C:/www/django/templates".
# Always use forward slashes, even on Windows.
# Don't forget to use absolute paths, not relative paths.
)
This setting tells Django’s template-loading mechanism where to look for
templates. Pick a directory where you’d like to store your templates and add it
to TEMPLATE_DIRS, like so:
TEMPLATE_DIRS = (
'/home/django/mysite/templates',
)
There are a few things to note:
You can specify any directory you want, as long as the directory and
templates within that directory are readable by the user account under
which your Web server runs. If you can’t think of an appropriate
place to put your templates, we recommend creating a templates
directory within your project (i.e., within the mysite directory you
created in Chapter 2).
If your TEMPLATE_DIRS contains only one directory, don’t forget the
comma at the end of the directory string!
Bad:
# Missing comma!
TEMPLATE_DIRS = (
'/home/django/mysite/templates'
)
Good:
# Comma correctly in place.
TEMPLATE_DIRS = (
'/home/django/mysite/templates',
)
The reason for this is that Python requires commas within single-element
tuples to disambiguate the tuple from a parenthetical expression. This is
a common newbie gotcha.
If you’re on Windows, include your drive letter and use Unix-style
forward slashes rather than backslashes, as follows:
TEMPLATE_DIRS = (
'C:/www/django/templates',
)
It’s simplest to use absolute paths (i.e., directory paths that start at
the root of the filesystem). If you want to be a bit more flexible and
decoupled, though, you can take advantage of the fact that Django
settings files are just Python code by constructing the contents of
TEMPLATE_DIRS dynamically. For example:
import os.path
TEMPLATE_DIRS = (
os.path.join(os.path.dirname(__file__), 'templates').replace('\\','/'),
)
This example uses the “magic” Python variable __file__, which is
automatically set to the file name of the Python module in which the code
lives. It gets the name of the directory that contains settings.py
(os.path.dirname), then joins that with templates in a
cross-platform way (os.path.join), then ensures that everything uses
forward slashes instead of backslashes (in case of Windows).
While we’re on the topic of dynamic Python code in settings files, we
should point out that it’s very important to avoid Python errors in your
settings file. If you introduce a syntax error, or a runtime error, your
Django-powered site will likely crash.
With TEMPLATE_DIRS set, the next step is to change the view code to
use Django’s template-loading functionality rather than hard-coding the
template paths. Returning to our current_datetime view, let’s change it
like so:
from django.template.loader import get_template
from django.template import Context
from django.http import HttpResponse
import datetime
def current_datetime(request):
now = datetime.datetime.now()
t = get_template('current_datetime.html')
html = t.render(Context({'current_date': now}))
return HttpResponse(html)
In this example, we’re using the function
django.template.loader.get_template() rather than loading the template from
the filesystem manually. The get_template() function takes a template name
as its argument, figures out where the template lives on the filesystem, opens
that file, and returns a compiled Template object.
Our template in this example is current_datetime.html, but there’s nothing
special about that .html extension. You can give your templates whatever
extension makes sense for your application, or you can leave off extensions
entirely.
To determine the location of the template on your filesystem,
get_template() combines your template directories from TEMPLATE_DIRS
with the template name that you pass to get_template(). For example, if
your TEMPLATE_DIRS is set to '/home/django/mysite/templates', the above
get_template() call would look for the template
/home/django/mysite/templates/current_datetime.html.
If get_template() cannot find the template with the given name, it raises
a TemplateDoesNotExist exception. To see what that looks like, fire up the
Django development server again by running python manage.py runserver
within your Django project’s directory. Then, point your browser at the page
that activates the current_datetime view (e.g.,
http://127.0.0.1:8000/time/). Assuming your DEBUG setting is set to
True and you haven’t yet created a current_datetime.html template, you
should see a Django error page highlighting the TemplateDoesNotExist error.
This error page is similar to the one we explained in Chapter 3, with one
additional piece of debugging information: a “Template-loader postmortem”
section. This section tells you which templates Django tried to load, along with
the reason each attempt failed (e.g., “File does not exist”). This information
is invaluable when you’re trying to debug template-loading errors.
Moving along, create the current_datetime.html file within your template
directory using the following template code:
<html><body>It is now {{ current_date }}.</body></html>
Refresh the page in your Web browser, and you should see the fully rendered
page.
render()
We’ve shown you how to load a template, fill a Context and return an
HttpResponse object with the result of the rendered template. We’ve
optimized it to use get_template() instead of hard-coding templates and
template paths. But it still requires a fair amount of typing to do those
things. Because this is such a common idiom, Django provides a shortcut that
lets you load a template, render it and return an HttpResponse – all in
one line of code.
This shortcut is a function called render(), which lives in the
module django.shortcuts. Most of the time, you’ll be using
render() rather than loading templates and creating Context
and HttpResponse objects manually – unless your employer judges your work
by total lines of code written, that is.
Here’s the ongoing current_datetime example rewritten to use
render():
from django.shortcuts import render
import datetime
def current_datetime(request):
now = datetime.datetime.now()
return render(request, 'current_datetime.html', {'current_date': now})
What a difference! Let’s step through the code changes:
- We no longer have to import get_template, Template, Context,
or HttpResponse. Instead, we import
django.shortcuts.render. The import datetime remains.
- Within the current_datetime function, we still calculate now, but
the template loading, context creation, template rendering, and
HttpResponse creation are all taken care of by the
render() call. Because render() returns
an HttpResponse object, we can simply return that value in the
view.
The first argument to render() is the request, the second is the name of
the template to use. The third argument, if given, should be a dictionary to
use in creating a Context for that template. If you don’t provide a third
argument, render() will use an empty dictionary.
Subdirectories in get_template()
It can get unwieldy to store all of your templates in a single directory. You
might like to store templates in subdirectories of your template directory, and
that’s fine. In fact, we recommend doing so; some more advanced Django
features (such as the generic views system, which we cover in
Chapter 11) expect this template layout as a default convention.
Storing templates in subdirectories of your template directory is easy.
In your calls to get_template(), just include
the subdirectory name and a slash before the template name, like so:
t = get_template('dateapp/current_datetime.html')
Because render() is a small wrapper around get_template(),
you can do the same thing with the second argument to render(),
like this:
return render(request, 'dateapp/current_datetime.html', {'current_date': now})
There’s no limit to the depth of your subdirectory tree. Feel free to use
as many subdirectories as you like.
Note
Windows users, be sure to use forward slashes rather than backslashes.
get_template() assumes a Unix-style file name designation.
The include Template Tag
Now that we’ve covered the template-loading mechanism, we can introduce a
built-in template tag that takes advantage of it: {% include %}. This tag
allows you to include the contents of another template. The argument to the tag
should be the name of the template to include, and the template name can be
either a variable or a hard-coded (quoted) string, in either single or double
quotes. Anytime you have the same code in multiple templates,
consider using an {% include %} to remove the duplication.
These two examples include the contents of the template nav.html. The
examples are equivalent and illustrate that either single or double quotes
are allowed:
{% include 'nav.html' %}
{% include "nav.html" %}
This example includes the contents of the template includes/nav.html:
{% include 'includes/nav.html' %}
This example includes the contents of the template whose name is contained in
the variable template_name:
{% include template_name %}
As in get_template(), the file name of the template is determined by adding
the template directory from TEMPLATE_DIRS to the requested template name.
Included templates are evaluated with the context of the template
that’s including them. For example, consider these two templates:
# mypage.html
<html>
<body>
{% include "includes/nav.html" %}
<h1>{{ title }}</h1>
</body>
</html>
# includes/nav.html
<div id="nav">
You are in: {{ current_section }}
</div>
If you render mypage.html with a context containing current_section,
then the variable will be available in the “included” template, as you would
expect.
If, in an {% include %} tag, a template with the given name isn’t found,
Django will do one of two things:
- If DEBUG is set to True, you’ll see the
TemplateDoesNotExist exception on a Django error page.
- If DEBUG is set to False, the tag will fail
silently, displaying nothing in the place of the tag.
Template Inheritance
Our template examples so far have been tiny HTML snippets, but in the real
world, you’ll be using Django’s template system to create entire HTML pages.
This leads to a common Web development problem: across a Web site, how does
one reduce the duplication and redundancy of common page areas, such as
sitewide navigation?
A classic way of solving this problem is to use server-side includes,
directives you can embed within your HTML pages to “include” one Web page
inside another. Indeed, Django supports that approach, with the
{% include %} template tag just described. But the preferred way of
solving this problem with Django is to use a more elegant strategy called
template inheritance.
In essence, template inheritance lets you build a base “skeleton” template that
contains all the common parts of your site and defines “blocks” that child
templates can override.
Let’s see an example of this by creating a more complete template for our
current_datetime view, by editing the current_datetime.html file:
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN">
<html lang="en">
<head>
<title>The current time</title>
</head>
<body>
<h1>My helpful timestamp site</h1>
<p>It is now {{ current_date }}.</p>
<hr>
<p>Thanks for visiting my site.</p>
</body>
</html>
That looks just fine, but what happens when we want to create a template for
another view – say, the hours_ahead view from Chapter 3? If we want again
to make a nice, valid, full HTML template, we’d create something like:
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN">
<html lang="en">
<head>
<title>Future time</title>
</head>
<body>
<h1>My helpful timestamp site</h1>
<p>In {{ hour_offset }} hour(s), it will be {{ next_time }}.</p>
<hr>
<p>Thanks for visiting my site.</p>
</body>
</html>
Clearly, we’ve just duplicated a lot of HTML. Imagine if we had a more
typical site, including a navigation bar, a few style sheets, perhaps some
JavaScript – we’d end up putting all sorts of redundant HTML into each
template.
The server-side include solution to this problem is to factor out the
common bits in both templates and save them in separate template snippets,
which are then included in each template. Perhaps you’d store the top
bit of the template in a file called header.html:
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN">
<html lang="en">
<head>
And perhaps you’d store the bottom bit in a file called footer.html:
<hr>
<p>Thanks for visiting my site.</p>
</body>
</html>
With an include-based strategy, headers and footers are easy. It’s the
middle ground that’s messy. In this example, both pages feature a title –
<h1>My helpful timestamp site</h1> – but that title can’t fit into
header.html because the <title> on both pages is different. If we
included the <h1> in the header, we’d have to include the <title>,
which wouldn’t allow us to customize it per page. See where this is going?
Django’s template inheritance system solves these problems. You can think of it
as an “inside-out” version of server-side includes. Instead of defining the
snippets that are common, you define the snippets that are different.
The first step is to define a base template – a skeleton of your page that
child templates will later fill in. Here’s a base template for our ongoing
example:
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN">
<html lang="en">
<head>
<title>{% block title %}{% endblock %}</title>
</head>
<body>
<h1>My helpful timestamp site</h1>
{% block content %}{% endblock %}
{% block footer %}
<hr>
<p>Thanks for visiting my site.</p>
{% endblock %}
</body>
</html>
This template, which we’ll call base.html, defines a simple HTML skeleton
document that we’ll use for all the pages on the site. It’s the job of child
templates to override, or add to, or leave alone the contents of the blocks.
(If you’re following along, save this file to your template directory as
base.html.)
We’re using a template tag here that you haven’t seen before: the
{% block %} tag. All the {% block %} tags do is tell the template
engine that a child template may override those portions of the template.
Now that we have this base template, we can modify our existing
current_datetime.html template to use it:
{% extends "base.html" %}
{% block title %}The current time{% endblock %}
{% block content %}
<p>It is now {{ current_date }}.</p>
{% endblock %}
While we’re at it, let’s create a template for the hours_ahead view from
Chapter 3. (If you’re following along with code, we’ll leave it up to you to
change hours_ahead to use the template system instead of hard-coded HTML.)
Here’s what that could look like:
{% extends "base.html" %}
{% block title %}Future time{% endblock %}
{% block content %}
<p>In {{ hour_offset }} hour(s), it will be {{ next_time }}.</p>
{% endblock %}
Isn’t this beautiful? Each template contains only the code that’s unique to
that template. No redundancy needed. If you need to make a site-wide design
change, just make the change to base.html, and all of the other templates
will immediately reflect the change.
Here’s how it works. When you load the template current_datetime.html,
the template engine sees the {% extends %} tag, noting that
this template is a child template. The engine immediately loads the
parent template – in this case, base.html.
At that point, the template engine notices the three {% block %} tags
in base.html and replaces those blocks with the contents of the child
template. So, the title we’ve defined in {% block title %} will be
used, as will the {% block content %}.
Note that since the child template doesn’t define the footer block,
the template system uses the value from the parent template instead.
Content within a {% block %} tag in a parent template is always
used as a fallback.
Inheritance doesn’t affect the template context. In other words, any template
in the inheritance tree will have access to every one of your template
variables from the context.
You can use as many levels of inheritance as needed. One common way of using
inheritance is the following three-level approach:
- Create a base.html template that holds the main look and feel of
your site. This is the stuff that rarely, if ever, changes.
- Create a base_SECTION.html template for each “section” of your site
(e.g., base_photos.html and base_forum.html). These templates
extend base.html and include section-specific styles/design.
- Create individual templates for each type of page, such as a forum page
or a photo gallery. These templates extend the appropriate section
template.
This approach maximizes code reuse and makes it easy to add items to shared
areas, such as section-wide navigation.
Here are some guidelines for working with template inheritance:
- If you use {% extends %} in a template, it must be the first
template tag in that template. Otherwise, template inheritance won’t
work.
- Generally, the more {% block %} tags in your base templates, the
better. Remember, child templates don’t have to define all parent blocks,
so you can fill in reasonable defaults in a number of blocks, and then
define only the ones you need in the child templates. It’s better to have
more hooks than fewer hooks.
- If you find yourself duplicating code in a number of templates, it
probably means you should move that code to a {% block %} in a
parent template.
- If you need to get the content of the block from the parent template,
use {{ block.super }}, which is a “magic” variable providing the
rendered text of the parent template. This is useful if you want to add
to the contents of a parent block instead of completely overriding it.
- You may not define multiple {% block %} tags with the same name in
the same template. This limitation exists because a block tag works in
“both” directions. That is, a block tag doesn’t just provide a hole to
fill, it also defines the content that fills the hole in the parent.
If there were two similarly named {% block %} tags in a template,
that template’s parent wouldn’t know which one of the blocks’ content to
use.
- The template name you pass to {% extends %} is loaded using the same
method that get_template() uses. That is, the template name is
appended to your TEMPLATE_DIRS setting.
- In most cases, the argument to {% extends %} will be a string, but it
can also be a variable, if you don’t know the name of the parent template
until runtime. This lets you do some cool, dynamic stuff.
What’s next?
You now have the basics of Django’s template system under your belt. What’s next?
Many modern Web sites are database-driven: the content of the Web site is
stored in a relational database. This allows a clean separation of data and logic
(in the same way views and templates allow the separation of logic and display.)
The next chapter Chapter 5 covers the tools Django gives you to
interact with a database.
Chapter 5: Models
In Chapter 3, we covered the fundamentals of building dynamic Web sites
with Django: setting up views and URLconfs. As we explained, a view is
responsible for doing some arbitrary logic, and then returning a response. In
one of the examples, our arbitrary logic was to calculate the current date and
time.
In modern Web applications, the arbitrary logic often involves interacting
with a database. Behind the scenes, a database-driven Web site connects to
a database server, retrieves some data out of it, and displays that data on a
Web page. The site might also provide ways for site visitors to populate the
database on their own.
Many complex Web sites provide some combination of the two. Amazon.com, for
instance, is a great example of a database-driven site. Each product page is
essentially a query into Amazon’s product database formatted as HTML, and when
you post a customer review, it gets inserted into the database of reviews.
Django is well suited for making database-driven Web sites, because it comes
with easy yet powerful tools for performing database queries using Python. This
chapter explains that functionality: Django’s database layer.
(Note: While it’s not strictly necessary to know basic relational database
theory and SQL in order to use Django’s database layer, it’s highly
recommended. An introduction to those concepts is beyond the scope of this
book, but keep reading even if you’re a database newbie. You’ll probably be
able to follow along and grasp concepts based on the context.)
The “Dumb” Way to Do Database Queries in Views
Just as Chapter 3 detailed a “dumb” way to produce output within a
view (by hard-coding the text directly within the view), there’s a “dumb” way to
retrieve data from a database in a view. It’s simple: just use any existing
Python library to execute an SQL query and do something with the results.
In this example view, we use the MySQLdb library (available via
http://www.djangoproject.com/r/python-mysql/) to connect to a MySQL database,
retrieve some records, and feed them to a template for display as a Web page:
from django.shortcuts import render
import MySQLdb
def book_list(request):
db = MySQLdb.connect(user='me', db='mydb', passwd='secret', host='localhost')
cursor = db.cursor()
cursor.execute('SELECT name FROM books ORDER BY name')
names = [row[0] for row in cursor.fetchall()]
db.close()
return render(request, 'book_list.html', {'names': names})
This approach works, but some problems should jump out at you immediately:
- We’re hard-coding the database connection parameters. Ideally, these
parameters would be stored in the Django configuration.
- We’re having to write a fair bit of boilerplate code: creating a
connection, creating a cursor, executing a statement, and closing the
connection. Ideally, all we’d have to do is specify which results we
wanted.
- It ties us to MySQL. If, down the road, we switch from MySQL to
PostgreSQL, we’ll have to use a different database adapter (e.g.,
psycopg rather than MySQLdb), alter the connection parameters,
and – depending on the nature of the SQL statement – possibly rewrite
the SQL. Ideally, the database server we’re using would be abstracted, so
that a database server change could be made in a single place. (This
feature is particularly relevant if you’re building an open-source Django
application that you want to be used by as many people as possible.)
As you might expect, Django’s database layer aims to solve these problems.
Here’s a sneak preview of how the previous view can be rewritten using Django’s
database API:
from django.shortcuts import render
from mysite.books.models import Book
def book_list(request):
books = Book.objects.order_by('name')
return render(request, 'book_list.html', {'books': books})
We’ll explain this code a little later in the chapter. For now, just get a
feel for how it looks.
The MTV (or MVC) Development Pattern
Before we delve into any more code, let’s take a moment to consider the overall
design of a database-driven Django Web application.
As we mentioned in previous chapters, Django is designed to encourage loose
coupling and strict separation between pieces of an application. If you follow
this philosophy, it’s easy to make changes to one particular piece of the
application without affecting the other pieces. In view functions, for
instance, we discussed the importance of separating the business logic from the
presentation logic by using a template system. With the database layer, we’re
applying that same philosophy to data access logic.
Those three pieces together – data access logic, business logic, and
presentation logic – comprise a concept that’s sometimes called the
Model-View-Controller (MVC) pattern of software architecture. In this
pattern, “Model” refers to the data access layer, “View” refers to the part of
the system that selects what to display and how to display it, and
“Controller” refers to the part of the system that decides which view to use,
depending on user input, accessing the model as needed.
Why the Acronym?
The goal of explicitly defining patterns such as MVC is mostly to
streamline communication among developers. Instead of having to tell your
coworkers, “Let’s make an abstraction of the data access, then let’s have a
separate layer that handles data display, and let’s put a layer in the
middle that regulates this,” you can take advantage of a shared vocabulary
and say, “Let’s use the MVC pattern here.”
Django follows this MVC pattern closely enough that it can be called an MVC
framework. Here’s roughly how the M, V, and C break down in Django:
- M, the data-access portion, is handled by Django’s database layer,
which is described in this chapter.
- V, the portion that selects which data to display and how to display
it, is handled by views and templates.
- C, the portion that delegates to a view depending on user input, is
handled by the framework itself by following your URLconf and calling the
appropriate Python function for the given URL.
Because the “C” is handled by the framework itself and most of the excitement
in Django happens in models, templates and views, Django has been referred to
as an MTV framework. In the MTV development pattern,
- M stands for “Model,” the data access layer. This layer contains
anything and everything about the data: how to access it, how to validate
it, which behaviors it has, and the relationships between the data.
- T stands for “Template,” the presentation layer. This layer contains
presentation-related decisions: how something should be displayed on a
Web page or other type of document.
- V stands for “View,” the business logic layer. This layer contains the
logic that access the model and defers to the appropriate template(s).
You can think of it as the bridge between models and templates.
If you’re familiar with other MVC Web-development frameworks, such as Ruby on
Rails, you may consider Django views to be the “controllers” and Django
templates to be the “views.” This is an unfortunate confusion brought about by
differing interpretations of MVC. In Django’s interpretation of MVC, the “view”
describes the data that gets presented to the user; it’s not necessarily just
how the data looks, but which data is presented. In contrast, Ruby on Rails
and similar frameworks suggest that the controller’s job includes deciding
which data gets presented to the user, whereas the view is strictly how the
data looks, not which data is presented.
Neither interpretation is more “correct” than the other. The important thing is
to understand the underlying concepts.
Configuring the Database
With all of that philosophy in mind, let’s start exploring Django’s database
layer. First, we need to take care of some initial configuration; we need to
tell Django which database server to use and how to connect to it.
We’ll assume you’ve set up a database server, activated it, and created a
database within it (e.g., using a CREATE DATABASE statement). If you’re
using SQLite, no such setup is required, because SQLite uses standalone files
on the filesystem to store its data.
As with TEMPLATE_DIRS in the previous chapter, database configuration lives in
the Django settings file, called settings.py by default. Edit that file and
look for the database settings:
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.', # Add 'postgresql_psycopg2', 'mysql', 'sqlite3' or 'oracle'.
'NAME': '', # Or path to database file if using sqlite3.
'USER': '', # Not used with sqlite3.
'PASSWORD': '', # Not used with sqlite3.
'HOST': '', # Set to empty string for localhost. Not used with sqlite3.
'PORT': '', # Set to empty string for default. Not used with sqlite3.
}
}
Here’s a rundown of each setting.
ENGINE tells Django which database engine to use. If you’re
using a database with Django, ENGINE must be set to one of
the strings shown in Table 5-1.
Note that for whichever database back-end you use, you’ll need to download
and install the appropriate database adapter. Each one is available for
free on the Web; just follow the links in the “Required Adapter” column
in Table 5-1. If you’re on Linux, your distribution’s package-management
system might offer convenient packages. (Look for packages called
python-postgresql or python-psycopg, for example.)
Example:
'ENGINE': 'django.db.backends.postgresql_psycopg2',
NAME tells Django the name of your database. For example:
If you’re using SQLite, specify the full filesystem path to the database
file on your filesystem. For example:
'NAME': '/home/django/mydata.db',
As for where you put that SQLite database, we’re using the /home/django
directory in this example, but you should pick a directory that works
best for you.
USER tells Django which username to use when connecting to
your database. For example: If you’re using SQLite, leave this blank.
PASSWORD tells Django which password to use when connecting
to your database. If you’re using SQLite or have an empty password, leave
this blank.
HOST tells Django which host to use when connecting to your
database. If your database is on the same computer as your Django
installation (i.e., localhost), leave this blank. If you’re using SQLite,
leave this blank.
MySQL is a special case here. If this value starts with a forward slash
('/') and you’re using MySQL, MySQL will connect via a Unix socket to
the specified socket, for example:
'HOST': '/var/run/mysql',
- PORT tells Django which port to use when connecting to your
database. If you’re using SQLite, leave this blank. Otherwise, if you
leave this blank, the underlying database adapter will use whichever
port is default for your given database server. In most cases, the
default port is fine, so you can leave this blank.
Once you’ve entered those settings and saved settings.py, it’s a good idea
to test your configuration. To do this, run python manage.py shell as in
the last chapter, from within the mysite project directory. (As we pointed
out last chapter manage.py shell is a way to run the Python interpreter
with the correct Django settings activated. This is necessary in our case,
because Django needs to know which settings file to use in order to get your
database connection information.)
In the shell, type these commands to test your database configuration:
>>> from django.db import connection
>>> cursor = connection.cursor()
If nothing happens, then your database is configured properly. Otherwise, check
the error message for clues about what’s wrong. Table 5-2 shows some common errors.
Table 5-2. Database Configuration Error Messages
Error Message |
Solution |
You haven’t set the ENGINE setting yet. |
Set the ENGINE setting to
something other than an empty string. Valid
values are in Table 5-1. |
Environment variable DJANGO_SETTINGS_MODULE is undefined. |
Run the command python manage.py shell
rather than python. |
Error loading _____ module: No module named _____. |
You haven’t installed the appropriate
database-specific adapter (e.g., psycopg
or MySQLdb). Adapters are not bundled
with Django, so it’s your responsibility to
download and install them on your own. |
_____ isn’t an available database backend. |
Set your ENGINE setting to
one of the valid engine settings described
previously. Perhaps you made a typo? |
database _____ does not exist |
Change the NAME setting to
point to a database that exists, or
execute the appropriate
CREATE DATABASE statement in order to
create it. |
role _____ does not exist |
Change the USER setting to point
to a user that exists, or create the user
in your database. |
could not connect to server |
Make sure HOST and
PORT are set correctly, and
make sure the database server is running. |
Your First App
Now that you’ve verified the connection is working, it’s time to create a
Django app – a bundle of Django code, including models and views, that
lives together in a single Python package and represents a full Django
application.
It’s worth explaining the terminology here, because this tends to trip up
beginners. We’d already created a project, in Chapter 2, so what’s the
difference between a project and an app? The difference is that of
configuration vs. code:
A project is an instance of a certain set of Django apps, plus the
configuration for those apps.
Technically, the only requirement of a project is that it supplies a
settings file, which defines the database connection information, the
list of installed apps, the TEMPLATE_DIRS, and so forth.
An app is a portable set of Django functionality, usually including
models and views, that lives together in a single Python package.
For example, Django comes with a number of apps, such as a commenting
system and an automatic admin interface. A key thing to note about these
apps is that they’re portable and reusable across multiple projects.
There are very few hard-and-fast rules about how you fit your Django code into
this scheme. If you’re building a simple Web site, you may use only a single
app. If you’re building a complex Web site with several unrelated pieces such
as an e-commerce system and a message board, you’ll probably want to split
those into separate apps so that you’ll be able to reuse them individually in
the future.
Indeed, you don’t necessarily need to create apps at all, as evidenced by the
example view functions we’ve created so far in this book. In those cases, we
simply created a file called views.py, filled it with view functions, and
pointed our URLconf at those functions. No “apps” were needed.
However, there’s one requirement regarding the app convention: if you’re using
Django’s database layer (models), you must create a Django app. Models must
live within apps. Thus, in order to start writing our models, we’ll need to
create a new app.
Within the mysite project directory, type this command to create a
books app:
python manage.py startapp books
This command does not produce any output, but it does create a books
directory within the mysite directory. Let’s look at the contents
of that directory:
books/
__init__.py
models.py
tests.py
views.py
These files will contain the models and views for this app.
Have a look at models.py and views.py in your favorite text editor.
Both files are empty, except for comments and an import in models.py. This
is the blank slate for your Django app.
Defining Models in Python
As we discussed earlier in this chapter, the “M” in “MTV” stands for “Model.” A
Django model is a description of the data in your database, represented as
Python code. It’s your data layout – the equivalent of your SQL CREATE
TABLE statements – except it’s in Python instead of SQL, and it includes
more than just database column definitions. Django uses a model to execute SQL
code behind the scenes and return convenient Python data structures representing
the rows in your database tables. Django also uses models to represent
higher-level concepts that SQL can’t necessarily handle.
If you’re familiar with databases, your immediate thought might be, “Isn’t it
redundant to define data models in Python instead of in SQL?” Django works the
way it does for several reasons:
Introspection requires overhead and is imperfect. In order to provide
convenient data-access APIs, Django needs to know the
database layout somehow, and there are two ways of accomplishing this.
The first way would be to explicitly describe the data in Python, and the
second way would be to introspect the database at runtime to determine
the data models.
This second way seems cleaner, because the metadata about your tables
lives in only one place, but it introduces a few problems. First,
introspecting a database at runtime obviously requires overhead. If the
framework had to introspect the database each time it processed a
request, or even only when the Web server was initialized, this would
incur an unacceptable level of overhead. (While some believe that level
of overhead is acceptable, Django’s developers aim to trim as much
framework overhead as possible.) Second, some databases, notably older
versions of MySQL, do not store sufficient metadata for accurate and
complete introspection.
Writing Python is fun, and keeping everything in Python limits the number
of times your brain has to do a “context switch.” It helps productivity
if you keep yourself in a single programming environment/mentality for as
long as possible. Having to write SQL, then Python, and then SQL again is
disruptive.
Having data models stored as code rather than in your database makes it
easier to keep your models under version control. This way, you can
easily keep track of changes to your data layouts.
SQL allows for only a certain level of metadata about a data layout. Most
database systems, for example, do not provide a specialized data type for
representing email addresses or URLs. Django models do. The advantage of
higher-level data types is higher productivity and more reusable code.
SQL is inconsistent across database platforms. If you’re distributing a
Web application, for example, it’s much more pragmatic to distribute a
Python module that describes your data layout than separate sets of
CREATE TABLE statements for MySQL, PostgreSQL, and SQLite.
A drawback of this approach, however, is that it’s possible for the Python code
to get out of sync with what’s actually in the database. If you make changes to
a Django model, you’ll need to make the same changes inside your database to
keep your database consistent with the model. We’ll discuss some strategies for
handling this problem later in this chapter.
Finally, we should note that Django includes a utility that can generate models
by introspecting an existing database. This is useful for quickly getting up
and running with legacy data. We’ll cover this in Chapter 18.
Your First Model
As an ongoing example in this chapter and the next chapter, we’ll focus on a
basic book/author/publisher data layout. We use this as our example because the
conceptual relationships between books, authors, and publishers are well known,
and this is a common data layout used in introductory SQL textbooks. You’re
also reading a book that was written by authors and produced by a publisher!
We’ll suppose the following concepts, fields, and relationships:
- An author has a first name, a last name and an email address.
- A publisher has a name, a street address, a city, a state/province, a
country, and a Web site.
- A book has a title and a publication date. It also has one or more
authors (a many-to-many relationship with authors) and a single publisher
(a one-to-many relationship – aka foreign key – to publishers).
The first step in using this database layout with Django is to express it as
Python code. In the models.py file that was created by the startapp
command, enter the following:
from django.db import models
class Publisher(models.Model):
name = models.CharField(max_length=30)
address = models.CharField(max_length=50)
city = models.CharField(max_length=60)
state_province = models.CharField(max_length=30)
country = models.CharField(max_length=50)
website = models.URLField()
class Author(models.Model):
first_name = models.CharField(max_length=30)
last_name = models.CharField(max_length=40)
email = models.EmailField()
class Book(models.Model):
title = models.CharField(max_length=100)
authors = models.ManyToManyField(Author)
publisher = models.ForeignKey(Publisher)
publication_date = models.DateField()
Let’s quickly examine this code to cover the basics. The first thing to notice
is that each model is represented by a Python class that is a subclass of
django.db.models.Model. The parent class, Model, contains all the
machinery necessary to make these objects capable of interacting with a
database – and that leaves our models responsible solely for defining their
fields, in a nice and compact syntax. Believe it or not, this is all the code
we need to write to have basic data access with Django.
Each model generally corresponds to a single database table, and each attribute
on a model generally corresponds to a column in that database table. The
attribute name corresponds to the column’s name, and the type of field (e.g.,
CharField) corresponds to the database column type (e.g., varchar). For
example, the Publisher model is equivalent to the following table (assuming
PostgreSQL CREATE TABLE syntax):
CREATE TABLE "books_publisher" (
"id" serial NOT NULL PRIMARY KEY,
"name" varchar(30) NOT NULL,
"address" varchar(50) NOT NULL,
"city" varchar(60) NOT NULL,
"state_province" varchar(30) NOT NULL,
"country" varchar(50) NOT NULL,
"website" varchar(200) NOT NULL
);
Indeed, Django can generate that CREATE TABLE statement automatically, as
we’ll show you in a moment.
The exception to the one-class-per-database-table rule is the case of
many-to-many relationships. In our example models, Book has a
ManyToManyField called authors. This designates that a book has one or
many authors, but the Book database table doesn’t get an authors
column. Rather, Django creates an additional table – a many-to-many “join
table” – that handles the mapping of books to authors.
For a full list of field types and model syntax options, see Appendix B.
Finally, note we haven’t explicitly defined a primary key in any of these
models. Unless you instruct it otherwise, Django automatically gives every
model an auto-incrementing integer primary key field called id. Each Django
model is required to have a single-column primary key.
Installing the Model
We’ve written the code; now let’s create the tables in our database. In order
to do that, the first step is to activate these models in our Django project.
We do that by adding the books app to the list of “installed apps” in the
settings file.
Edit the settings.py file again, and look for the INSTALLED_APPS
setting. INSTALLED_APPS tells Django which apps are activated for a given
project. By default, it looks something like this:
INSTALLED_APPS = (
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.sites',
'django.contrib.messages',
'django.contrib.staticfiles',
)
Temporarily comment out all six of those strings by putting a hash character
(#) in front of them. (They’re included by default as a common-case
convenience, but we’ll activate and discuss them in subsequent chapters.)
While you’re at it, comment out the default MIDDLEWARE_CLASSES setting, too;
the default values in MIDDLEWARE_CLASSES depend on some of the apps we
just commented out. Then, add 'books' to the INSTALLED_APPS
list, so the setting ends up looking like this:
MIDDLEWARE_CLASSES = (
# 'django.middleware.common.CommonMiddleware',
# 'django.contrib.sessions.middleware.SessionMiddleware',
# 'django.middleware.csrf.CsrfViewMiddleware',
# 'django.contrib.auth.middleware.AuthenticationMiddleware',
# 'django.contrib.messages.middleware.MessageMiddleware',
)
INSTALLED_APPS = (
# 'django.contrib.auth',
# 'django.contrib.contenttypes',
# 'django.contrib.sessions',
# 'django.contrib.sites',
'books',
)
(As we mentioned last chapter when setting TEMPLATE_DIRS, you’ll need to be
sure to include the trailing comma in INSTALLED_APPS, because it’s a
single-element tuple. By the way, this book’s authors prefer to put a comma
after every element of a tuple, regardless of whether the tuple has only a
single element. This avoids the issue of forgetting commas, and there’s no
penalty for using that extra comma.)
'mysite.books' refers to the books app we’re working on. Each app in
INSTALLED_APPS is represented by its full Python path – that is, the path
of packages, separated by dots, leading to the app package.
Now that the Django app has been activated in the settings file, we can create
the database tables in our database. First, let’s validate the models by
running this command:
python manage.py validate
The validate command checks whether your models’ syntax and logic are
correct. If all is well, you’ll see the message 0 errors found. If you
don’t, make sure you typed in the model code correctly. The error output should
give you helpful information about what was wrong with the code.
Any time you think you have problems with your models, run
python manage.py validate. It tends to catch all the common model problems.
If your models are valid, run the following command for Django to generate
CREATE TABLE statements for your models in the books app (with colorful
syntax highlighting available, if you’re using Unix):
python manage.py sqlall books
In this command, books is the name of the app. It’s what you specified when
you ran the command manage.py startapp. When you run the command, you
should see something like this:
BEGIN;
CREATE TABLE "books_publisher" (
"id" serial NOT NULL PRIMARY KEY,
"name" varchar(30) NOT NULL,
"address" varchar(50) NOT NULL,
"city" varchar(60) NOT NULL,
"state_province" varchar(30) NOT NULL,
"country" varchar(50) NOT NULL,
"website" varchar(200) NOT NULL
)
;
CREATE TABLE "books_author" (
"id" serial NOT NULL PRIMARY KEY,
"first_name" varchar(30) NOT NULL,
"last_name" varchar(40) NOT NULL,
"email" varchar(75) NOT NULL
)
;
CREATE TABLE "books_book" (
"id" serial NOT NULL PRIMARY KEY,
"title" varchar(100) NOT NULL,
"publisher_id" integer NOT NULL REFERENCES "books_publisher" ("id") DEFERRABLE INITIALLY DEFERRED,
"publication_date" date NOT NULL
)
;
CREATE TABLE "books_book_authors" (
"id" serial NOT NULL PRIMARY KEY,
"book_id" integer NOT NULL REFERENCES "books_book" ("id") DEFERRABLE INITIALLY DEFERRED,
"author_id" integer NOT NULL REFERENCES "books_author" ("id") DEFERRABLE INITIALLY DEFERRED,
UNIQUE ("book_id", "author_id")
)
;
CREATE INDEX "books_book_publisher_id" ON "books_book" ("publisher_id");
COMMIT;
Note the following:
- Table names are automatically generated by combining the name of the app
(books) and the lowercase name of the model (publisher,
book, and author). You can override this behavior, as detailed
in Appendix B.
- As we mentioned earlier, Django adds a primary key for each table
automatically – the id fields. You can override this, too.
- By convention, Django appends "_id" to the foreign key field name. As
you might have guessed, you can override this behavior, too.
- The foreign key relationship is made explicit by a REFERENCES
statement.
- These CREATE TABLE statements are tailored to the database you’re
using, so database-specific field types such as auto_increment
(MySQL), serial (PostgreSQL), or integer primary key (SQLite) are
handled for you automatically. The same goes for quoting of column names
(e.g., using double quotes or single quotes). This example output is in
PostgreSQL syntax.
The sqlall command doesn’t actually create the tables or otherwise touch
your database – it just prints output to the screen so you can see what SQL
Django would execute if you asked it. If you wanted to, you could copy and
paste this SQL into your database client, or use Unix pipes to pass it
directly (e.g., python manage.py sqlall books | psql mydb). However, Django
provides an easier way of committing the SQL to the database: the syncdb
command:
Run that command, and you’ll see something like this:
Creating table books_publisher
Creating table books_author
Creating table books_book
Installing index for books.Book model
The syncdb command is a simple “sync” of your models to your database. It
looks at all of the models in each app in your INSTALLED_APPS setting,
checks the database to see whether the appropriate tables exist yet, and
creates the tables if they don’t yet exist. Note that syncdb does not
sync changes in models or deletions of models; if you make a change to a model
or delete a model, and you want to update the database, syncdb will not
handle that. (More on this in the “Making Changes to a Database Schema” section
toward the end of this chapter.)
If you run python manage.py syncdb again, nothing happens, because you
haven’t added any models to the books app or added any apps to
INSTALLED_APPS. Ergo, it’s always safe to run python manage.py syncdb
– it won’t clobber things.
If you’re interested, take a moment to dive into your database server’s
command-line client and see the database tables Django created. You can
manually run the command-line client (e.g., psql for PostgreSQL) or
you can run the command python manage.py dbshell, which will figure out
which command-line client to run, depending on your DATABASE_SERVER
setting. The latter is almost always more convenient.
Basic Data Access
Once you’ve created a model, Django automatically provides a high-level Python
API for working with those models. Try it out by running
python manage.py shell and typing the following:
>>> from books.models import Publisher
>>> p1 = Publisher(name='Apress', address='2855 Telegraph Avenue',
... city='Berkeley', state_province='CA', country='U.S.A.',
... website='http://www.apress.com/')
>>> p1.save()
>>> p2 = Publisher(name="O'Reilly", address='10 Fawcett St.',
... city='Cambridge', state_province='MA', country='U.S.A.',
... website='http://www.oreilly.com/')
>>> p2.save()
>>> publisher_list = Publisher.objects.all()
>>> publisher_list
[<Publisher: Publisher object>, <Publisher: Publisher object>]
These few lines of code accomplish quite a bit. Here are the highlights:
- First, we import our Publisher model class. This lets us interact
with the database table that contains publishers.
- We create a Publisher object by instantiating it with values for
each field – name, address, etc.
- To save the object to the database, call its save() method. Behind
the scenes, Django executes an SQL INSERT statement here.
- To retrieve publishers from the database, use the attribute
Publisher.objects, which you can think of as a set of all publishers.
Fetch a list of all Publisher objects in the database with the
statement Publisher.objects.all(). Behind the scenes, Django executes
an SQL SELECT statement here.
One thing is worth mentioning, in case it wasn’t clear from this example. When
you’re creating objects using the Django model API, Django doesn’t save the
objects to the database until you call the save() method:
p1 = Publisher(...)
# At this point, p1 is not saved to the database yet!
p1.save()
# Now it is.
If you want to create an object and save it to the database in a single step,
use the objects.create() method. This example is equivalent to the example
above:
>>> p1 = Publisher.objects.create(name='Apress',
... address='2855 Telegraph Avenue',
... city='Berkeley', state_province='CA', country='U.S.A.',
... website='http://www.apress.com/')
>>> p2 = Publisher.objects.create(name="O'Reilly",
... address='10 Fawcett St.', city='Cambridge',
... state_province='MA', country='U.S.A.',
... website='http://www.oreilly.com/')
>>> publisher_list = Publisher.objects.all()
>>> publisher_list
Naturally, you can do quite a lot with the Django database API – but first,
let’s take care of a small annoyance.
Adding Model String Representations
When we printed out the list of publishers, all we got was this
unhelpful display that makes it difficult to tell the Publisher objects
apart:
[<Publisher: Publisher object>, <Publisher: Publisher object>]
We can fix this easily by adding a method called __unicode__() to our
Publisher class. A __unicode__() method tells Python how to display the
“unicode” representation of an object. You can see this in action by adding a
__unicode__() method to the three models:
from django.db import models
class Publisher(models.Model):
name = models.CharField(max_length=30)
address = models.CharField(max_length=50)
city = models.CharField(max_length=60)
state_province = models.CharField(max_length=30)
country = models.CharField(max_length=50)
website = models.URLField()
def __unicode__(self):
return self.name
class Author(models.Model):
first_name = models.CharField(max_length=30)
last_name = models.CharField(max_length=40)
email = models.EmailField()
def __unicode__(self):
return u'%s %s' % (self.first_name, self.last_name)
class Book(models.Model):
title = models.CharField(max_length=100)
authors = models.ManyToManyField(Author)
publisher = models.ForeignKey(Publisher)
publication_date = models.DateField()
def __unicode__(self):
return self.title
As you can see, a __unicode__() method can do whatever it needs to do in order
to return a representation of an object. Here, the __unicode__() methods for
Publisher and Book simply return the object’s name and title,
respectively, but the __unicode__() for Author is slightly more complex –
it pieces together the first_name and last_name fields, separated by a
space.
The only requirement for __unicode__() is that it return a Unicode object.
If __unicode__() doesn’t return a Unicode object – if it returns, say, an
integer – then Python will raise a TypeError with a message like
"coercing to Unicode: need string or buffer, int found".
Unicode objects
What are Unicode objects?
You can think of a Unicode object as a Python string that can handle more
than a million different types of characters, from accented versions of
Latin characters to non-Latin characters to curly quotes and obscure
symbols.
Normal Python strings are encoded, which means they use an encoding such
as ASCII, ISO-8859-1 or UTF-8. If you’re storing fancy characters (anything
beyond the standard 128 ASCII characters such as 0-9 and A-Z) in a normal
Python string, you have to keep track of which encoding your string is
using, or the fancy characters might appear messed up when they’re
displayed or printed. Problems occur when you have data that’s stored in
one encoding and you try to combine it with data in a different encoding,
or you try to display it in an application that assumes a certain encoding.
We’ve all seen Web pages and e-mails that are littered with ”??? ??????”
or other characters in odd places; that generally suggests there’s an
encoding problem.
Unicode objects, however, have no encoding; they use a consistent,
universal set of characters called, well, “Unicode.” When you deal with
Unicode objects in Python, you can mix and match them safely without having
to worry about encoding issues.
Django uses Unicode objects throughout the framework. Model objects are
retrieved as Unicode objects, views interact with Unicode data, and
templates are rendered as Unicode. Generally, you won’t have to worry about
making sure your encodings are right; things should just work.
Note that this has been a very high-level, dumbed down overview of
Unicode objects, and you owe it to yourself to learn more about the topic.
A good place to start is http://www.joelonsoftware.com/articles/Unicode.html .
For the __unicode__() changes to take effect, exit out of the Python shell
and enter it again with python manage.py shell. (This is the simplest way
to make code changes take effect.) Now the list of Publisher objects is
much easier to understand:
>>> from books.models import Publisher
>>> publisher_list = Publisher.objects.all()
>>> publisher_list
[<Publisher: Apress>, <Publisher: O'Reilly>]
Make sure any model you define has a __unicode__() method – not only for
your own convenience when using the interactive interpreter, but also because
Django uses the output of __unicode__() in several places when it needs to
display objects.
Finally, note that __unicode__() is a good example of adding behavior to
models. A Django model describes more than the database table layout for an
object; it also describes any functionality that object knows how to do.
__unicode__() is one example of such functionality – a model knows how to
display itself.
Inserting and Updating Data
You’ve already seen this done: to insert a row into your database, first create
an instance of your model using keyword arguments, like so:
>>> p = Publisher(name='Apress',
... address='2855 Telegraph Ave.',
... city='Berkeley',
... state_province='CA',
... country='U.S.A.',
... website='http://www.apress.com/')
As we noted above, this act of instantiating a model class does not touch
the database. The record isn’t saved into the database until you call
save(), like this:
In SQL, this can roughly be translated into the following:
INSERT INTO books_publisher
(name, address, city, state_province, country, website)
VALUES
('Apress', '2855 Telegraph Ave.', 'Berkeley', 'CA',
'U.S.A.', 'http://www.apress.com/');
Because the Publisher model uses an autoincrementing primary key id,
the initial call to save() does one more thing: it calculates the primary
key value for the record and sets it to the id attribute on the instance:
>>> p.id
52 # this will differ based on your own data
Subsequent calls to save() will save the record in place, without creating
a new record (i.e., performing an SQL UPDATE statement instead of an
INSERT):
>>> p.name = 'Apress Publishing'
>>> p.save()
The preceding save() statement will result in roughly the following SQL:
UPDATE books_publisher SET
name = 'Apress Publishing',
address = '2855 Telegraph Ave.',
city = 'Berkeley',
state_province = 'CA',
country = 'U.S.A.',
website = 'http://www.apress.com'
WHERE id = 52;
Yes, note that all of the fields will be updated, not just the ones that have
been changed. Depending on your application, this may cause a race condition.
See “Updating Multiple Objects in One Statement” below to find out how to
execute this (slightly different) query:
UPDATE books_publisher SET
name = 'Apress Publishing'
WHERE id=52;
Selecting Objects
Knowing how to create and update database records is essential, but chances are
that the Web applications you’ll build will be doing more querying of existing
objects than creating new ones. We’ve already seen a way to retrieve every
record for a given model:
>>> Publisher.objects.all()
[<Publisher: Apress>, <Publisher: O'Reilly>]
This roughly translates to this SQL:
SELECT id, name, address, city, state_province, country, website
FROM books_publisher;
Note
Notice that Django doesn’t use SELECT * when looking up data and instead
lists all fields explicitly. This is by design: in certain circumstances
SELECT * can be slower, and (more important) listing fields more closely
follows one tenet of the Zen of Python: “Explicit is better than implicit.”
For more on the Zen of Python, try typing import this at a Python
prompt.
Let’s take a close look at each part of this Publisher.objects.all() line:
First, we have the model we defined, Publisher. No surprise here: when
you want to look up data, you use the model for that data.
Next, we have the objects attribute. This is called a manager.
Managers are discussed in detail in Chapter 10. For now, all you need to
know is that managers take care of all “table-level” operations on data
including, most important, data lookup.
All models automatically get a objects manager; you’ll use it
any time you want to look up model instances.
Finally, we have all(). This is a method on the objects manager
that returns all the rows in the database. Though this object looks
like a list, it’s actually a QuerySet – an object that represents a
specific set of rows from the database. Appendix C deals with QuerySets
in detail. For the rest of this chapter, we’ll just treat them like the
lists they emulate.
Any database lookup is going to follow this general pattern – we’ll call methods on
the manager attached to the model we want to query against.
Filtering Data
Naturally, it’s rare to want to select everything from a database at once; in
most cases, you’ll want to deal with a subset of your data. In the Django API,
you can filter your data using the filter() method:
>>> Publisher.objects.filter(name='Apress')
[<Publisher: Apress>]
filter() takes keyword arguments that get translated into the appropriate
SQL WHERE clauses. The preceding example would get translated into
something like this:
SELECT id, name, address, city, state_province, country, website
FROM books_publisher
WHERE name = 'Apress';
You can pass multiple arguments into filter() to narrow down things further:
>>> Publisher.objects.filter(country="U.S.A.", state_province="CA")
[<Publisher: Apress>]
Those multiple arguments get translated into SQL AND clauses. Thus, the
example in the code snippet translates into the following:
SELECT id, name, address, city, state_province, country, website
FROM books_publisher
WHERE country = 'U.S.A.'
AND state_province = 'CA';
Notice that by default the lookups use the SQL = operator to do exact match
lookups. Other lookup types are available:
>>> Publisher.objects.filter(name__contains="press")
[<Publisher: Apress>]
That’s a double underscore there between name and contains. Like
Python itself, Django uses the double underscore to signal that something
“magic” is happening – here, the __contains part gets translated by Django
into a SQL LIKE statement:
SELECT id, name, address, city, state_province, country, website
FROM books_publisher
WHERE name LIKE '%press%';
Many other types of lookups are available, including icontains
(case-insensitive LIKE), startswith and endswith, and range (SQL
BETWEEN queries). Appendix C describes all of these lookup types in detail.
Retrieving Single Objects
The filter() examples above all returned a QuerySet, which you can
treat like a list. Sometimes it’s more convenient to fetch only a single object,
as opposed to a list. That’s what the get() method is for:
>>> Publisher.objects.get(name="Apress")
<Publisher: Apress>
Instead of a list (rather, QuerySet), only a single object is returned.
Because of that, a query resulting in multiple objects will cause an
exception:
>>> Publisher.objects.get(country="U.S.A.")
Traceback (most recent call last):
...
MultipleObjectsReturned: get() returned more than one Publisher --
it returned 2! Lookup parameters were {'country': 'U.S.A.'}
A query that returns no objects also causes an exception:
>>> Publisher.objects.get(name="Penguin")
Traceback (most recent call last):
...
DoesNotExist: Publisher matching query does not exist.
The DoesNotExist exception is an attribute of the model’s class –
Publisher.DoesNotExist. In your applications, you’ll want to trap these
exceptions, like this:
try:
p = Publisher.objects.get(name='Apress')
except Publisher.DoesNotExist:
print "Apress isn't in the database yet."
else:
print "Apress is in the database."
Ordering Data
As you play around with the previous examples, you might discover that the objects
are being returned in a seemingly random order. You aren’t imagining things; so
far we haven’t told the database how to order its results, so we’re simply
getting back data in some arbitrary order chosen by the database.
In your Django applications, you’ll probably want to order your results
according to a certain value – say, alphabetically. To do this, use the
order_by() method:
>>> Publisher.objects.order_by("name")
[<Publisher: Apress>, <Publisher: O'Reilly>]
This doesn’t look much different from the earlier all() example, but the
SQL now includes a specific ordering:
SELECT id, name, address, city, state_province, country, website
FROM books_publisher
ORDER BY name;
You can order by any field you like:
>>> Publisher.objects.order_by("address")
[<Publisher: O'Reilly>, <Publisher: Apress>]
>>> Publisher.objects.order_by("state_province")
[<Publisher: Apress>, <Publisher: O'Reilly>]
To order by multiple fields (where the second field is used to disambiguate
ordering in cases where the first is the same), use multiple arguments:
>>> Publisher.objects.order_by("state_province", "address")
[<Publisher: Apress>, <Publisher: O'Reilly>]
You can also specify reverse ordering by prefixing the field name with a -
(that’s a minus character):
>>> Publisher.objects.order_by("-name")
[<Publisher: O'Reilly>, <Publisher: Apress>]
While this flexibility is useful, using order_by() all the time can be quite
repetitive. Most of the time you’ll have a particular field you usually want
to order by. In these cases, Django lets you specify a default ordering in the
model:
class Publisher(models.Model):
name = models.CharField(max_length=30)
address = models.CharField(max_length=50)
city = models.CharField(max_length=60)
state_province = models.CharField(max_length=30)
country = models.CharField(max_length=50)
website = models.URLField()
def __unicode__(self):
return self.name
class Meta:
ordering = ['name']
Here, we’ve introduced a new concept: the class Meta, which is a class
that’s embedded within the Publisher class definition (i.e., it’s indented
to be within class Publisher). You can use this Meta class on any model
to specify various model-specific options. A full reference of Meta options
is available in Appendix B, but for now, we’re concerned with the ordering
option. If you specify this, it tells Django that unless an ordering is given
explicitly with order_by(), all Publisher objects should be ordered by
the name field whenever they’re retrieved with the Django database API.
Chaining Lookups
You’ve seen how you can filter data, and you’ve seen how you can order it. Often, of course,
you’ll need to do both. In these cases, you simply “chain” the lookups together:
>>> Publisher.objects.filter(country="U.S.A.").order_by("-name")
[<Publisher: O'Reilly>, <Publisher: Apress>]
As you might expect, this translates to a SQL query with both a WHERE and an
ORDER BY:
SELECT id, name, address, city, state_province, country, website
FROM books_publisher
WHERE country = 'U.S.A'
ORDER BY name DESC;
Slicing Data
Another common need is to look up only a fixed number of rows. Imagine you have thousands
of publishers in your database, but you want to display only the first one. You can do this
using Python’s standard list slicing syntax:
>>> Publisher.objects.order_by('name')[0]
<Publisher: Apress>
This translates roughly to:
SELECT id, name, address, city, state_province, country, website
FROM books_publisher
ORDER BY name
LIMIT 1;
Similarly, you can retrieve a specific subset of data using Python’s
range-slicing syntax:
>>> Publisher.objects.order_by('name')[0:2]
This returns two objects, translating roughly to:
SELECT id, name, address, city, state_province, country, website
FROM books_publisher
ORDER BY name
OFFSET 0 LIMIT 2;
Note that negative slicing is not supported:
>>> Publisher.objects.order_by('name')[-1]
Traceback (most recent call last):
...
AssertionError: Negative indexing is not supported.
This is easy to get around, though. Just change the order_by() statement,
like this:
>>> Publisher.objects.order_by('-name')[0]
Updating Multiple Objects in One Statement
We pointed out in the “Inserting and Updating Data” section that the model
save() method updates all columns in a row. Depending on your
application, you may want to update only a subset of columns.
For example, let’s say we want to update the Apress Publisher to change
the name from 'Apress' to 'Apress Publishing'. Using save(), it
would look something like this:
>>> p = Publisher.objects.get(name='Apress')
>>> p.name = 'Apress Publishing'
>>> p.save()
This roughly translates to the following SQL:
SELECT id, name, address, city, state_province, country, website
FROM books_publisher
WHERE name = 'Apress';
UPDATE books_publisher SET
name = 'Apress Publishing',
address = '2855 Telegraph Ave.',
city = 'Berkeley',
state_province = 'CA',
country = 'U.S.A.',
website = 'http://www.apress.com'
WHERE id = 52;
(Note that this example assumes Apress has a publisher ID of 52.)
You can see in this example that Django’s save() method sets all of the
column values, not just the name column. If you’re in an environment where
other columns of the database might change due to some other process, it’s
smarter to change only the column you need to change. To do this, use the
update() method on QuerySet objects. Here’s an example:
>>> Publisher.objects.filter(id=52).update(name='Apress Publishing')
The SQL translation here is much more efficient and has no chance of race
conditions:
UPDATE books_publisher
SET name = 'Apress Publishing'
WHERE id = 52;
The update() method works on any QuerySet, which means you can edit
multiple records in bulk. Here’s how you might change the country from
'U.S.A.' to USA in each Publisher record:
>>> Publisher.objects.all().update(country='USA')
2
The update() method has a return value – an integer representing how many
records changed. In the above example, we got 2.
Deleting Objects
To delete an object from your database, simply call the object’s delete()
method:
>>> p = Publisher.objects.get(name="O'Reilly")
>>> p.delete()
>>> Publisher.objects.all()
[<Publisher: Apress Publishing>]
You can also delete objects in bulk by calling delete() on the result of
any QuerySet. This is similar to the update() method we showed in the
last section:
>>> Publisher.objects.filter(country='USA').delete()
>>> Publisher.objects.all().delete()
>>> Publisher.objects.all()
[]
Be careful deleting your data! As a precaution against deleting all of the data
in a particular table, Django requires you to explicitly use all() if you
want to delete everything in your table. For example, this won’t work:
>>> Publisher.objects.delete()
Traceback (most recent call last):
File "<console>", line 1, in <module>
AttributeError: 'Manager' object has no attribute 'delete'
But it’ll work if you add the all() method:
>>> Publisher.objects.all().delete()
If you’re just deleting a subset of your data, you don’t need to include
all(). To repeat a previous example:
>>> Publisher.objects.filter(country='USA').delete()
What’s Next?
Having read this chapter, you have enough knowledge of Django models to be able
to write basic database applications. Chapter 10 will provide some information
on more advanced usage of Django’s database layer.
Once you’ve defined your models, the next step is to populate your database
with data. You might have legacy data, in which case Chapter 18 will give you
advice about integrating with legacy databases. You might rely on site users
to supply your data, in which case Chapter 7 will teach you how to process
user-submitted form data.
But in some cases, you or your team might need to enter data manually, in which
case it would be helpful to have a Web-based interface for entering and
managing data. The next chapter Chapter 6 covers Django’s admin interface, which exists
precisely for that reason.
Chapter 6: The Django Admin Site
For a certain class of Web sites, an admin interface is an essential part of
the infrastructure. This is a Web-based interface, limited to trusted site
administrators, that enables the adding, editing and deletion of site content.
Some common examples: the interface you use to post to your blog, the backend
site managers use to moderate user-generated comments, the tool your clients
use to update the press releases on the Web site you built for them.
There’s a problem with admin interfaces, though: it’s boring to build them.
Web development is fun when you’re developing public-facing functionality, but
building admin interfaces is always the same. You have to authenticate users,
display and handle forms, validate input, and so on. It’s boring, and it’s
repetitive.
So what’s Django’s approach to these boring, repetitive tasks? It does it all
for you – in just a couple of lines of code, no less. With Django, building an
admin interface is a solved problem.
This chapter is about Django’s automatic admin interface. The feature works by
reading metadata in your model to provide a powerful and production-ready
interface that site administrators can start using immediately. Here, we discuss
how to activate, use, and customize this feature.
Note that we recommend reading this chapter even if you don’t intend to use the
Django admin site, because we introduce a few concepts that apply to all of
Django, regardless of admin-site usage.
The django.contrib packages
Django’s automatic admin is part of a larger suite of Django functionality
called django.contrib – the part of the Django codebase that contains
various useful add-ons to the core framework. You can think of
django.contrib as Django’s equivalent of the Python standard library –
optional, de facto implementations of common patterns. They’re bundled with
Django so that you don’t have to reinvent the wheel in your own applications.
The admin site is the first part of django.contrib that we’re covering in
this book; technically, it’s called django.contrib.admin. Other available
features in django.contrib include a user authentication system
(django.contrib.auth), support for anonymous sessions
(django.contrib.sessions) and even a system for user comments
(django.contrib.comments). You’ll get to know the various django.contrib
features as you become a Django expert, and we’ll spend some more time
discussing them in Chapter 16. For now, just know that Django ships with many
nice add-ons, and django.contrib is generally where they live.
Activating the Admin Interface
The Django admin site is entirely optional, because only certain types of sites
need this functionality. That means you’ll need to take a few steps to activate
it in your project.
First, make a few changes to your settings file:
- Add 'django.contrib.admin' to the INSTALLED_APPS setting. (The
order of INSTALLED_APPS doesn’t matter, but we like to keep things
alphabetical so it’s easy for a human to read.)
- Make sure INSTALLED_APPS contains 'django.contrib.auth',
'django.contrib.contenttypes', 'django.contrib.messages'
and 'django.contrib.sessions'. The
Django admin site requires these three packages. (If you’re following
along with our ongoing mysite project, note that we commented out
these four INSTALLED_APPS entries in Chapter 5. Uncomment them now.)
- Make sure MIDDLEWARE_CLASSES contains
'django.middleware.common.CommonMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware' and
'django.contrib.auth.middleware.AuthenticationMiddleware'. (Again,
if you’re following along, note that we commented them out in Chapter 5,
so uncomment them.)
Second, run python manage.py syncdb. This step will install the extra
database tables that the admin interface uses. The first time you run
syncdb with 'django.contrib.auth' in INSTALLED_APPS, you’ll be
asked about creating a superuser. If you don’t do this, you’ll need to run
python manage.py createsuperuser separately to create an admin user
account; otherwise, you won’t be able to log in to the admin site. (Potential
gotcha: the python manage.py createsuperuser command is only available if
'django.contrib.auth' is in your INSTALLED_APPS.)
Third, add the admin site to your URLconf (in urls.py, remember). By
default, the urls.py generated by django-admin.py startproject contains
commented-out code for the Django admin, and all you have to do is uncomment
it. For the record, here are the bits you need to make sure are in there:
# Include these import statements...
from django.contrib import admin
admin.autodiscover()
# And include this URLpattern...
urlpatterns = patterns('',
# ...
(r'^admin/', include(admin.site.urls)),
# ...
)
With that bit of configuration out of the way, now you can see the Django
admin site in action. Just run the development server
(python manage.py runserver, as in previous chapters) and visit
http://127.0.0.1:8000/admin/ in your Web browser.
Using the Admin Site
The admin site is designed to be used by nontechnical users, and as such it
should be pretty self-explanatory. Nevertheless, we’ll give you a quick
walkthrough of the basic features.
The first thing you’ll see is a login screen, as shown in Figure 6-1.
Log in with the username and password you set up when you added your superuser.
If you’re unable to log in, make sure you’ve actually created a superuser –
try running python manage.py createsuperuser.
Once you’re logged in, the first thing you’ll see will be the admin home page.
This page lists all the available types of data that can be edited on the admin
site. At this point, because we haven’t activated any of our own models yet,
the list is sparse: it includes only Groups and Users, which are the two
default admin-editable models.
Each type of data in the Django admin site has a change list and an
edit form. Change lists show you all the available objects in the database,
and edit forms let you add, change or delete particular records in your
database.
Other languages
If your primary language is not English and your Web browser is configured
to prefer a language other than English, you can make a quick change to
see whether the Django admin site has been translated into your language.
Just add 'django.middleware.locale.LocaleMiddleware' to your
MIDDLEWARE_CLASSES setting, making sure it appears after
'django.contrib.sessions.middleware.SessionMiddleware'.
When you’ve done that, reload the admin index page. If a translation for
your language is available, then the various parts of the interface – from
the “Change password” and “Log out” links at the top of the page, to the
“Groups” and “Users” links in the middle – will appear in your language
instead of English. Django ships with translations for dozens of languages.
For much more on Django’s internationalization features, see Chapter 19.
Click the “Change” link in the “Users” row to load the change list page for
users.
This page displays all users in the database; you can think of it as a
prettied-up Web version of a SELECT * FROM auth_user; SQL query. If you’re
following along with our ongoing example, you’ll only see one user here,
assuming you’ve added only one, but once you have more users, you’ll probably
find the filtering, sorting and searching options useful. Filtering options are
at right, sorting is available by clicking a column header, and the search box
at the top lets you search by username.
Click the username of the user you created, and you’ll see the edit form for
that user.
This page lets you change the attributes of the user, like the
first/last names and various permissions. (Note that to change a user’s
password, you should click “change password form” under the password field
rather than editing the hashed code.) Another thing to note here is that fields
of different types get different widgets – for example, date/time fields have
calendar controls, boolean fields have checkboxes, character fields have simple
text input fields.
You can delete a record by clicking the delete button at the bottom left of its
edit form. That’ll take you to a confirmation page, which, in some cases, will
display any dependent objects that will be deleted, too. (For example, if you
delete a publisher, any book with that publisher will be deleted, too!)
You can add a record by clicking “Add” in the appropriate column of the admin
home page. This will give you an empty version of the edit page, ready for you
to fill out.
You’ll also notice that the admin interface also handles input validation for
you. Try leaving a required field blank or putting an invalid date into a date
field, and you’ll see those errors when you try to save, as shown in Figure 6-5.
When you edit an existing object, you’ll notice a History link in the
upper-right corner of the window. Every change made through the admin interface
is logged, and you can examine this log by clicking the History link (see
Figure 6-6).
Adding Your Models to the Admin Site
There’s one crucial part we haven’t done yet. Let’s add our own models to the
admin site, so we can add, change and delete objects in our custom database
tables using this nice interface. We’ll continue the books example from
Chapter 5, where we defined three models: Publisher, Author and
Book.
Within the books directory (mysite/books), create a file called
admin.py, and type in the following lines of code:
from django.contrib import admin
from mysite.books.models import Publisher, Author, Book
admin.site.register(Publisher)
admin.site.register(Author)
admin.site.register(Book)
This code tells the Django admin site to offer an interface for each of these
models.
Once you’ve done this, go to your admin home page in your Web browser
(http://127.0.0.1:8000/admin/), and you should see a “Books” section with
links for Authors, Books and Publishers. (You might have to stop and start the
runserver for the changes to take effect.)
You now have a fully functional admin interface for each of those three models.
That was easy!
Take some time to add and change records, to populate your database with some
data. If you followed Chapter 5’s examples of creating Publisher objects
(and you didn’t delete them), you’ll already see those records on the publisher
change list page.
One feature worth mentioning here is the admin site’s handling of foreign keys
and many-to-many relationships, both of which appear in the Book model. As
a reminder, here’s what the Book model looks like:
class Book(models.Model):
title = models.CharField(max_length=100)
authors = models.ManyToManyField(Author)
publisher = models.ForeignKey(Publisher)
publication_date = models.DateField()
def __unicode__(self):
return self.title
On the Django admin site’s “Add book” page
(http://127.0.0.1:8000/admin/books/book/add/), the publisher (a
ForeignKey) is represented by a select box, and the authors field
(a ManyToManyField) is represented by a multiple-select box. Both fields
sit next to a green plus sign icon that lets you add related records of that
type. For example, if you click the green plus sign next to the “Publisher”
field, you’ll get a pop-up window that lets you add a publisher. After you
successfully create the publisher in the pop-up, the “Add book” form will be
updated with the newly created publisher. Slick.
How the Admin Site Works
Behind the scenes, how does the admin site work? It’s pretty straightforward.
When Django loads your URLconf from urls.py at server startup, it executes
the admin.autodiscover() statement that we added as part of activating the
admin. This function iterates over your INSTALLED_APPS setting and looks
for a file called admin.py in each installed app. If an admin.py
exists in a given app, it executes the code in that file.
In the admin.py in our books app, each call to
admin.site.register() simply registers the given model with the admin. The
admin site will only display an edit/change interface for models that have been
explicitly registered.
The app django.contrib.auth includes its own admin.py, which is why
Users and Groups showed up automatically in the admin. Other django.contrib
apps, such as django.contrib.redirects, also add themselves to the admin,
as do many third-party Django applications you might download from the Web.
Beyond that, the Django admin site is just a Django application, with its own
models, templates, views and URLpatterns. You add it to your application by
hooking it into your URLconf, just as you hook in your own views. You can
inspect its templates, views and URLpatterns by poking around in
django/contrib/admin in your copy of the Django codebase – but don’t be
tempted to change anything directly in there, as there are plenty of hooks for
you to customize the way the admin site works. (If you do decide to poke around
the Django admin application, keep in mind it does some rather complicated
things in reading metadata about models, so it would probably take a good
amount of time to read and understand the code.)
Making Fields Optional
After you play around with the admin site for a while, you’ll probably notice a
limitation – the edit forms require every field to be filled out, whereas in
many cases you’d want certain fields to be optional. Let’s say, for example,
that we want our Author model’s email field to be optional – that is,
a blank string should be allowed. In the real world, you might not have an
e-mail address on file for every author.
To specify that the email field is optional, edit the Author model
(which, as you’ll recall from Chapter 5, lives in mysite/books/models.py).
Simply add blank=True to the email field, like so:
class Author(models.Model):
first_name = models.CharField(max_length=30)
last_name = models.CharField(max_length=40)
email = models.EmailField(blank=True)
This tells Django that a blank value is indeed allowed for authors’ e-mail
addresses. By default, all fields have blank=False, which means blank
values are not allowed.
There’s something interesting happening here. Until now, with the exception of
the __unicode__() method, our models have served as definitions of our
database tables – Pythonic expressions of SQL CREATE TABLE statements,
essentially. In adding blank=True, we have begun expanding our model beyond
a simple definition of what the database table looks like. Now, our model class
is starting to become a richer collection of knowledge about what Author
objects are and what they can do. Not only is the email field represented
by a VARCHAR column in the database; it’s also an optional field in
contexts such as the Django admin site.
Once you’ve added that blank=True, reload the “Add author” edit form
(http://127.0.0.1:8000/admin/books/author/add/), and you’ll notice the
field’s label – “Email” – is no longer bolded. This signifies it’s not a
required field. You can now add authors without needing to provide
e-mail addresses; you won’t get the loud red “This field is required” message
anymore, if the field is submitted empty.
Making Date and Numeric Fields Optional
A common gotcha related to blank=True has to do with date and numeric
fields, but it requires a fair amount of background explanation.
SQL has its own way of specifying blank values – a special value called
NULL. NULL could mean “unknown,” or “invalid,” or some other
application-specific meaning.
In SQL, a value of NULL is different than an empty string, just as the
special Python object None is different than an empty Python string
(""). This means it’s possible for a particular character field (e.g., a
VARCHAR column) to contain both NULL values and empty string values.
This can cause unwanted ambiguity and confusion: “Why does this record have a
NULL but this other one has an empty string? Is there a difference, or was
the data just entered inconsistently?” And: “How do I get all the records that
have a blank value – should I look for both NULL records and empty
strings, or do I only select the ones with empty strings?”
To help avoid such ambiguity, Django’s automatically generated CREATE TABLE
statements (which were covered in Chapter 5) add an explicit NOT NULL to
each column definition. For example, here’s the generated statement for our
Author model, from Chapter 5:
CREATE TABLE "books_author" (
"id" serial NOT NULL PRIMARY KEY,
"first_name" varchar(30) NOT NULL,
"last_name" varchar(40) NOT NULL,
"email" varchar(75) NOT NULL
)
;
In most cases, this default behavior is optimal for your application and will
save you from data-inconsistency headaches. And it works nicely with the rest
of Django, such as the Django admin site, which inserts an empty string (not
a NULL value) when you leave a character field blank.
But there’s an exception with database column types that do not accept empty
strings as valid values – such as dates, times and numbers. If you try to
insert an empty string into a date or integer column, you’ll likely get a
database error, depending on which database you’re using. (PostgreSQL, which is
strict, will raise an exception here; MySQL might accept it or might not,
depending on the version you’re using, the time of day and the phase of the
moon.) In this case, NULL is the only way to specify an empty
value. In Django models, you can specify that NULL is allowed by adding
null=True to a field.
So that’s a long way of saying this: if you want to allow blank values in a
date field (e.g., DateField, TimeField, DateTimeField) or numeric
field (e.g., IntegerField, DecimalField, FloatField), you’ll need
to use both null=True and blank=True.
For sake of example, let’s change our Book model to allow a blank
publication_date. Here’s the revised code:
class Book(models.Model):
title = models.CharField(max_length=100)
authors = models.ManyToManyField(Author)
publisher = models.ForeignKey(Publisher)
publication_date = models.DateField(blank=True, null=True)
Adding null=True is more complicated than adding blank=True, because
null=True changes the semantics of the database – that is, it changes the
CREATE TABLE statement to remove the NOT NULL from the
publication_date field. To complete this change, we’ll need to update the
database.
For a number of reasons, Django does not attempt to automate changes to
database schemas, so it’s your own responsibility to execute the appropriate
ALTER TABLE statement whenever you make such a change to a model. Recall
that you can use manage.py dbshell to enter your database server’s shell.
Here’s how to remove the NOT NULL in this particular case:
ALTER TABLE books_book ALTER COLUMN publication_date DROP NOT NULL;
(Note that this SQL syntax is specific to PostgreSQL.)
We’ll cover schema changes in more depth in Chapter 10.
Bringing this back to the admin site, now the “Add book” edit form should allow
for empty publication date values.
Customizing Field Labels
On the admin site’s edit forms, each field’s label is generated from its model
field name. The algorithm is simple: Django just replaces underscores with
spaces and capitalizes the first character, so, for example, the Book
model’s publication_date field has the label “Publication date.”
However, field names don’t always lend themselves to nice admin field labels,
so in some cases you might want to customize a label. You can do this by
specifying verbose_name in the appropriate model field.
For example, here’s how we can change the label of the Author.email field
to “e-mail,” with a hyphen:
class Author(models.Model):
first_name = models.CharField(max_length=30)
last_name = models.CharField(max_length=40)
email = models.EmailField(blank=True, verbose_name='e-mail')
Make that change and reload the server, and you should see the field’s new
label on the author edit form.
Note that you shouldn’t capitalize the first letter of a verbose_name
unless it should always be capitalized (e.g., "USA state"). Django will
automatically capitalize it when it needs to, and it will use the exact
verbose_name value in other places that don’t require capitalization.
Finally, note that you can pass the verbose_name as a positional argument,
for a slightly more compact syntax. This example is equivalent to the previous
one:
class Author(models.Model):
first_name = models.CharField(max_length=30)
last_name = models.CharField(max_length=40)
email = models.EmailField('e-mail', blank=True)
This won’t work with ManyToManyField or ForeignKey fields, though,
because they require the first argument to be a model class. In those cases,
specifying verbose_name explicitly is the way to go.
Custom ModelAdmin classes
The changes we’ve made so far – blank=True, null=True and
verbose_name – are really model-level changes, not admin-level changes.
That is, these changes are fundamentally a part of the model and just so happen
to be used by the admin site; there’s nothing admin-specific about them.
Beyond these, the Django admin site offers a wealth of options that let you
customize how the admin site works for a particular model. Such options live in
ModelAdmin classes, which are classes that contain configuration for a
specific model in a specific admin site instance.
Customizing change lists
Let’s dive into admin customization by specifying the fields that are
displayed on the change list for our Author model. By default, the change
list displays the result of __unicode__() for each object. In Chapter 5, we
defined the __unicode__() method for Author objects to display the
first name and last name together:
class Author(models.Model):
first_name = models.CharField(max_length=30)
last_name = models.CharField(max_length=40)
email = models.EmailField(blank=True, verbose_name='e-mail')
def __unicode__(self):
return u'%s %s' % (self.first_name, self.last_name)
As a result, the change list for Author objects displays each other’s
first name and last name together, as you can see in Figure 6-7.
We can improve on this default behavior by adding a few other fields to the
change list display. It’d be handy, for example, to see each author’s e-mail
address in this list, and it’d be nice to be able to sort by first and last
name.
To make this happen, we’ll define a ModelAdmin class for the Author
model. This class is the key to customizing the admin, and one of the most
basic things it lets you do is specify the list of fields to display on change
list pages. Edit admin.py to make these changes:
from django.contrib import admin
from mysite.books.models import Publisher, Author, Book
class AuthorAdmin(admin.ModelAdmin):
list_display = ('first_name', 'last_name', 'email')
admin.site.register(Publisher)
admin.site.register(Author, AuthorAdmin)
admin.site.register(Book)
Here’s what we’ve done:
We created the class AuthorAdmin. This class, which subclasses
django.contrib.admin.ModelAdmin, holds custom configuration
for a specific admin model. We’ve only specified one customization –
list_display, which is set to a tuple of field names to display on
the change list page. These field names must exist in the model, of
course.
We altered the admin.site.register() call to add AuthorAdmin after
Author. You can read this as: “Register the Author model with the
AuthorAdmin options.”
The admin.site.register() function takes a ModelAdmin subclass as
an optional second argument. If you don’t specify a second argument (as
is the case for Publisher and Book), Django will use the default
admin options for that model.
With that tweak made, reload the author change list page, and you’ll see it’s
now displaying three columns – the first name, last name and e-mail address.
In addition, each of those columns is sortable by clicking on the column
header. (See Figure 6-8.)
Next, let’s add a simple search bar. Add search_fields to the
AuthorAdmin, like so:
class AuthorAdmin(admin.ModelAdmin):
list_display = ('first_name', 'last_name', 'email')
search_fields = ('first_name', 'last_name')
Reload the page in your browser, and you should see a search bar at the top.
(See Figure 6-9.) We’ve just told the admin change list page to include a
search bar that searches against the first_name and last_name fields.
As a user might expect, this is case-insensitive and searches both fields, so
searching for the string "bar" would find both an author with the first
name Barney and an author with the last name Hobarson.
Next, let’s add some date filters to our Book model’s change list page:
from django.contrib import admin
from mysite.books.models import Publisher, Author, Book
class AuthorAdmin(admin.ModelAdmin):
list_display = ('first_name', 'last_name', 'email')
search_fields = ('first_name', 'last_name')
class BookAdmin(admin.ModelAdmin):
list_display = ('title', 'publisher', 'publication_date')
list_filter = ('publication_date',)
admin.site.register(Publisher)
admin.site.register(Author, AuthorAdmin)
admin.site.register(Book, BookAdmin)
Here, because we’re dealing with a different set of options, we created a
separate ModelAdmin class – BookAdmin. First, we defined a
list_display just to make the change list look a bit nicer. Then, we
used list_filter, which is set to a tuple of fields to use to create
filters along the right side of the change list page. For date fields, Django
provides shortcuts to filter the list to “Today,” “Past 7 days,” “This month”
and “This year” – shortcuts that Django’s developers have found hit the
common cases for filtering by date. Figure 6-10 shows what that looks like.
list_filter also works on fields of other types, not just DateField.
(Try it with BooleanField and ForeignKey fields, for example.) The
filters show up as long as there are at least 2 values to choose from.
Another way to offer date filters is to use the date_hierarchy admin
option, like this:
class BookAdmin(admin.ModelAdmin):
list_display = ('title', 'publisher', 'publication_date')
list_filter = ('publication_date',)
date_hierarchy = 'publication_date'
With this in place, the change list page gets a date drill-down navigation bar
at the top of the list, as shown in Figure 6-11. It starts with a list of
available years, then drills down into months and individual days.
Note that date_hierarchy takes a string, not a tuple, because only one
date field can be used to make the hierarchy.
Finally, let’s change the default ordering so that books on the change list
page are always ordered descending by their publication date. By default,
the change list orders objects according to their model’s ordering within
class Meta (which we covered in Chapter 5) – but you haven’t specified
this ordering value, then the ordering is undefined.
class BookAdmin(admin.ModelAdmin):
list_display = ('title', 'publisher', 'publication_date')
list_filter = ('publication_date',)
date_hierarchy = 'publication_date'
ordering = ('-publication_date',)
This admin ordering option works exactly as the ordering in models’
class Meta, except that it only uses the first field name in the list. Just
pass a list or tuple of field names, and add a minus sign to a field to use
descending sort order.
Reload the book change list to see this in action. Note that the
“Publication date” header now includes a small arrow that indicates which way
the records are sorted. (See Figure 6-12.)
We’ve covered the main change list options here. Using these options, you can
make a very powerful, production-ready data-editing interface with only a few
lines of code.
Customizing edit forms
Just as the change list can be customized, edit forms can be customized in many
ways.
First, let’s customize the way fields are ordered. By default, the order of
fields in an edit form corresponds to the order they’re defined in the model.
We can change that using the fields option in our ModelAdmin subclass:
class BookAdmin(admin.ModelAdmin):
list_display = ('title', 'publisher', 'publication_date')
list_filter = ('publication_date',)
date_hierarchy = 'publication_date'
ordering = ('-publication_date',)
fields = ('title', 'authors', 'publisher', 'publication_date')
After this change, the edit form for books will use the given ordering for
fields. It’s slightly more natural to have the authors after the book title.
Of course, the field order should depend on your data-entry workflow. Every
form is different.
Another useful thing the fields option lets you do is to exclude certain
fields from being edited entirely. Just leave out the field(s) you want to
exclude. You might use this if your admin users are only trusted to edit a
certain segment of your data, or if part of your fields are changed by some
outside, automated process. For example, in our book database, we could
hide the publication_date field from being editable:
class BookAdmin(admin.ModelAdmin):
list_display = ('title', 'publisher', 'publication_date')
list_filter = ('publication_date',)
date_hierarchy = 'publication_date'
ordering = ('-publication_date',)
fields = ('title', 'authors', 'publisher')
As a result, the edit form for books doesn’t offer a way to specify the
publication date. This could be useful, say, if you’re an editor who prefers
that his authors not push back publication dates. (This is purely a
hypothetical example, of course.)
When a user uses this incomplete form to add a new book, Django will simply set
the publication_date to None – so make sure that field has
null=True.
Another commonly used edit-form customization has to do with many-to-many
fields. As we’ve seen on the edit form for books, the admin site represents each
ManyToManyField as a multiple-select boxes, which is the most logical
HTML input widget to use – but multiple-select boxes can be difficult to use.
If you want to select multiple items, you have to hold down the control key,
or command on a Mac, to do so. The admin site helpfully inserts a bit of text
that explains this, but, still, it gets unwieldy when your field contains
hundreds of options.
The admin site’s solution is filter_horizontal. Let’s add that to
BookAdmin and see what it does.
class BookAdmin(admin.ModelAdmin):
list_display = ('title', 'publisher', 'publication_date')
list_filter = ('publication_date',)
date_hierarchy = 'publication_date'
ordering = ('-publication_date',)
filter_horizontal = ('authors',)
(If you’re following along, note that we’ve also removed the fields option
to restore all the fields in the edit form.)
Reload the edit form for books, and you’ll see that the “Authors” section now
uses a fancy JavaScript filter interface that lets you search through the
options dynamically and move specific authors from “Available authors” to
the “Chosen authors” box, and vice versa.
We’d highly recommend using filter_horizontal for any ManyToManyField
that has more than 10 items. It’s far easier to use than a simple
multiple-select widget. Also, note you can use filter_horizontal
for multiple fields – just specify each name in the tuple.
ModelAdmin classes also support a filter_vertical option. This works
exactly as filter_horizontal, but the resulting JavaScript interface stacks
the two boxes vertically instead of horizontally. It’s a matter of personal
taste.
filter_horizontal and filter_vertical only work on ManyToManyField
fields, not ForeignKey fields. By default, the admin site uses simple
<select> boxes for ForeignKey fields, but, as for ManyToManyField,
sometimes you don’t want to incur the overhead of having to select all the
related objects to display in the drop-down. For example, if our book database
grows to include thousands of publishers, the “Add book” form could take a
while to load, because it would have to load every publisher for display in the
<select> box.
The way to fix this is to use an option called raw_id_fields. Set this to
a tuple of ForeignKey field names, and those fields will be displayed in
the admin with a simple text input box (<input type="text">) instead of a
<select>. See Figure 6-14.
class BookAdmin(admin.ModelAdmin):
list_display = ('title', 'publisher', 'publication_date')
list_filter = ('publication_date',)
date_hierarchy = 'publication_date'
ordering = ('-publication_date',)
filter_horizontal = ('authors',)
raw_id_fields = ('publisher',)
What do you enter in this input box? The database ID of the publisher. Given
that humans don’t normally memorize database IDs, there’s also a
magnifying-glass icon that you can click to pull up a pop-up window, from which
you can select the publisher to add.
Users, Groups, and Permissions
Because you’re logged in as a superuser, you have access to create, edit, and
delete any object. Naturally, different environments require different
permission systems – not everybody can or should be a superuser. Django’s
admin site uses a permissions system that you can use to give specific users
access only to the portions of the interface that they need.
These user accounts are meant to be generic enough to be used outside of the
admin interface, but we’ll just treat them as admin user accounts for now. In
Chapter 14, we’ll cover how to integrate user accounts with the rest of your
site (i.e., not just the admin site).
You can edit users and permissions through the admin interface just like any
other object. We saw this earlier in this chapter, when we played around with
the User and Group sections of the admin. User objects have the standard
username, password, e-mail and real name fields you might expect, along with a
set of fields that define what the user is allowed to do in the admin
interface. First, there’s a set of three boolean flags:
- The “active” flag controls whether the user is active at all.
If this flag is off and the user tries to log in, he won’t be allowed in,
even with a valid password.
- The “staff” flag controls whether the user is allowed to log in to the
admin interface (i.e., whether that user is considered a “staff member” in
your organization). Since this same user system can be used to control
access to public (i.e., non-admin) sites (see Chapter 14), this flag
differentiates between public users and administrators.
- The “superuser” flag gives the user full access to add, create and
delete any item in the admin interface. If a user has this flag set, then
all regular permissions (or lack thereof) are ignored for that user.
“Normal” admin users – that is, active, non-superuser staff members – are
granted admin access through assigned permissions. Each object editable through
the admin interface (e.g., books, authors, publishers) has three permissions: a
create permission, an edit permission and a delete permission. Assigning
permissions to a user grants the user access to do what is described by those
permissions.
When you create a user, that user has no permissions, and it’s up to you to
give the user specific permissions. For example, you can give a user permission
to add and change publishers, but not permission to delete them. Note that
these permissions are defined per-model, not per-object – so they let you say
“John can make changes to any book,” but they don’t let you say “John can make
changes to any book published by Apress.” The latter functionality, per-object
permissions, is a bit more complicated and is outside the scope of this book
but is covered in the Django documentation.
Note
Access to edit users and permissions is also controlled by this permission
system. If you give someone permission to edit users, she will be able to
edit her own permissions, which might not be what you want! Giving a user
permission to edit users is essentially turning a user into a superuser.
You can also assign users to groups. A group is simply a set of permissions to
apply to all members of that group. Groups are useful for granting identical
permissions to a subset of users.
When and Why to Use the Admin Interface – And When Not to
After having worked through this chapter, you should have a good idea of how to
use Django’s admin site. But we want to make a point of covering when and
why you might want to use it – and when not to use it.
Django’s admin site especially shines when nontechnical users need to be able
to enter data; that’s the purpose behind the feature, after all. At the
newspaper where Django was first developed, development of a typical online
feature – say, a special report on water quality in the municipal supply –
would go something like this:
- The reporter responsible for the project meets with one of the developers
and describes the available data.
- The developer designs Django models to fit this data and then opens up
the admin site to the reporter.
- The reporter inspects the admin site to point out any missing or
extraneous fields – better now than later. The developer changes the
models iteratively.
- When the models are agreed upon, the reporter begins entering data using
the admin site. At the same time, the programmer can focus on developing
the publicly accessible views/templates (the fun part!).
In other words, the raison d’être of Django’s admin interface is facilitating
the simultaneous work of content producers and programmers.
However, beyond these obvious data entry tasks, the admin site is useful in a
few other cases:
- Inspecting data models: Once you’ve defined a few models, it can be
quite useful to call them up in the admin interface and enter some dummy
data. In some cases, this might reveal data-modeling mistakes or other
problems with your models.
- Managing acquired data: For applications that rely on data coming from
external sources (e.g., users or Web crawlers), the admin site gives you
an easy way to inspect or edit this data. You can think of it as a less
powerful, but more convenient, version of your database’s command-line
utility.
- Quick and dirty data-management apps: You can use the admin site to
build yourself a very lightweight data management app – say, to keep
track of expenses. If you’re just building something for your own needs,
not for public consumption, the admin site can take you a long way. In
this sense, you can think of it as a beefed up, relational version of a
spreadsheet.
One final point we want to make clear is: the admin site is not an
end-all-be-all. Over the years, we’ve seen it hacked and chopped up to serve a
variety of functions it wasn’t intended to serve. It’s not intended to be a
public interface to data, nor is it intended to allow for sophisticated
sorting and searching of your data. As we said early in this chapter, it’s for
trusted site administrators. Keeping this sweet spot in mind is the key to
effective admin-site usage.
What’s Next?
So far we’ve created a few models and configured a top-notch interface for
editing data. In the next chapter Chapter 7, we’ll move on to the real “meat and potatoes”
of Web development: form creation and processing.
Chapter 7: Forms
HTML forms are the backbone of interactive Web sites, from the simplicity of
Google’s single search box to ubiquitous blog comment-submission forms to
complex custom data-entry interfaces. This chapter covers how you can use
Django to access user-submitted form data, validate it and do something with
it. Along the way, we’ll cover HttpRequest and Form objects.
Getting Data From the Request Object
We introduced HttpRequest objects in Chapter 3 when we first covered view
functions, but we didn’t have much to say about them at the time. Recall that
each view function takes an HttpRequest object as its first parameter, as
in our hello() view:
from django.http import HttpResponse
def hello(request):
return HttpResponse("Hello world")
HttpRequest objects, such as the variable request here, have a number
of interesting attributes and methods that you should familiarize yourself
with, so that you know what’s possible. You can use these attributes to get
information about the current request (i.e., the user/Web browser that’s
loading the current page on your Django-powered site), at the time the view
function is executed.
A Simple Form-Handling Example
Continuing this book’s ongoing example of books, authors and publishers, let’s
create a simple view that lets users search our book database by title.
Generally, there are two parts to developing a form: the HTML user interface
and the backend view code that processes the submitted data. The first part is
easy; let’s just set up a view that displays a search form:
from django.shortcuts import render
def search_form(request):
return render(request, 'search_form.html')
As we learned in Chapter 3, this view can live anywhere on your Python path.
For sake of argument, put it in books/views.py.
The accompanying template, search_form.html, could look like this:
<html>
<head>
<title>Search</title>
</head>
<body>
<form action="/search/" method="get">
<input type="text" name="q">
<input type="submit" value="Search">
</form>
</body>
</html>
The URLpattern in urls.py could look like this:
from mysite.books import views
urlpatterns = patterns('',
# ...
url(r'^search-form/$', views.search_form),
# ...
)
(Note that we’re importing the views module directly, instead of something
like from mysite.views import search_form, because the former is less
verbose. We’ll cover this importing approach in more detail in Chapter 8.)
Now, if you run the runserver and visit
http://127.0.0.1:8000/search-form/, you’ll see the search interface. Simple
enough.
Try submitting the form, though, and you’ll get a Django 404 error. The form
points to the URL /search/, which hasn’t yet been implemented. Let’s fix
that with a second view function:
# urls.py
urlpatterns = patterns('',
# ...
(r'^search-form/$', views.search_form),
(r'^search/$', views.search),
# ...
)
# views.py
def search(request):
if 'q' in request.GET:
message = 'You searched for: %r' % request.GET['q']
else:
message = 'You submitted an empty form.'
return HttpResponse(message)
For the moment, this merely displays the user’s search term, so we can make
sure the data is being submitted to Django properly, and so you can get a feel
for how the search term flows through the system. In short:
- The HTML <form> defines a variable q. When it’s submitted, the
value of q is sent via GET (method="get") to the URL
/search/.
- The Django view that handles the URL /search/ (search()) has
access to the q value in request.GET.
An important thing to point out here is that we explicitly check that 'q'
exists in request.GET. As we pointed out in the request.META section
above, you shouldn’t trust anything submitted by users or even assume that
they’ve submitted anything in the first place. If we didn’t add this check, any
submission of an empty form would raise KeyError in the view:
# BAD!
def bad_search(request):
# The following line will raise KeyError if 'q' hasn't
# been submitted!
message = 'You searched for: %r' % request.GET['q']
return HttpResponse(message)
Query string parameters
Because GET data is passed in the query string (e.g.,
/search/?q=django), you can use request.GET to access query string
variables. In Chapter 3’s introduction of Django’s URLconf system, we
compared Django’s pretty URLs to more traditional PHP/Java URLs such as
/time/plus?hours=3 and said we’d show you how to do the latter in
Chapter 7. Now you know how to access query string parameters in your
views (like hours=3 in this example) – use request.GET.
POST data works the same way as GET data – just use request.POST
instead of request.GET. What’s the difference between GET and POST?
Use GET when the act of submitting the form is just a request to “get”
data. Use POST whenever the act of submitting the form will have some side
effect – changing data, or sending an e-mail, or something else that’s
beyond simple display of data. In our book-search example, we’re using
GET because the query doesn’t change any data on our server. (See
http://www.w3.org/2001/tag/doc/whenToUseGet.html if you want to learn more
about GET and POST.)
Now that we’ve verified request.GET is being passed in properly, let’s hook
the user’s search query into our book database (again, in views.py):
from django.http import HttpResponse
from django.shortcuts import render
from mysite.books.models import Book
def search(request):
if 'q' in request.GET and request.GET['q']:
q = request.GET['q']
books = Book.objects.filter(title__icontains=q)
return render(request, 'search_results.html',
{'books': books, 'query': q})
else:
return HttpResponse('Please submit a search term.')
A couple of notes on what we did here:
Aside from checking that 'q' exists in request.GET, we also make
sure that request.GET['q'] is a non-empty value before passing it to
the database query.
We’re using Book.objects.filter(title__icontains=q) to query our
book table for all books whose title includes the given submission. The
icontains is a lookup type (as explained in Chapter 5 and Appendix
B), and the statement can be roughly translated as “Get the books whose
title contains q, without being case-sensitive.”
This is a very simple way to do a book search. We wouldn’t recommend
using a simple icontains query on a large production database, as
it can be slow. (In the real world, you’d want to use a custom search
system of some sort. Search the Web for open-source full-text search
to get an idea of the possibilities.)
We pass books, a list of Book objects, to the template. The
template code for search_results.html might include something like
this:
<p>You searched for: <strong>{{ query }}</strong></p>
{% if books %}
<p>Found {{ books|length }} book{{ books|pluralize }}.</p>
<ul>
{% for book in books %}
<li>{{ book.title }}</li>
{% endfor %}
</ul>
{% else %}
<p>No books matched your search criteria.</p>
{% endif %}
Note usage of the pluralize template filter, which outputs an “s”
if appropriate, based on the number of books found.
Improving Our Simple Form-Handling Example
As in previous chapters, we’ve shown you the simplest thing that could possibly
work. Now we’ll point out some problems and show you how to improve it.
First, our search() view’s handling of an empty query is poor – we’re just
displaying a "Please submit a search term." message, requiring the user to
hit the browser’s back button. This is horrid and unprofessional, and if you
ever actually implement something like this in the wild, your Django privileges
will be revoked.
It would be much better to redisplay the form, with an error above it, so that
the user can try again immediately. The easiest way to do that would be to
render the template again, like this:
from django.http import HttpResponse
from django.shortcuts import render
from mysite.books.models import Book
def search_form(request):
return render(request, 'search_form.html')
def search(request):
if 'q' in request.GET and request.GET['q']:
q = request.GET['q']
books = Book.objects.filter(title__icontains=q)
return render(request, 'search_results.html',
{'books': books, 'query': q})
else:
return render(request, 'search_form.html', {'error': True})
(Note that we’ve included search_form() here so you can see both views in
one place.)
Here, we’ve improved search() to render the search_form.html template
again, if the query is empty. And because we need to display an error message
in that template, we pass a template variable. Now we can edit
search_form.html to check for the error variable:
<html>
<head>
<title>Search</title>
</head>
<body>
{% if error %}
<p style="color: red;">Please submit a search term.</p>
{% endif %}
<form action="/search/" method="get">
<input type="text" name="q">
<input type="submit" value="Search">
</form>
</body>
</html>
We can still use this template from our original view, search_form(),
because search_form() doesn’t pass error to the template – so the
error message won’t show up in that case.
With this change in place, it’s a better application, but it now begs the
question: is a dedicated search_form() view really necessary? As it stands,
a request to the URL /search/ (without any GET parameters) will display
the empty form (but with an error). We can remove the search_form() view,
along with its associated URLpattern, as long as we change search() to
hide the error message when somebody visits /search/ with no GET
parameters:
def search(request):
error = False
if 'q' in request.GET:
q = request.GET['q']
if not q:
error = True
else:
books = Book.objects.filter(title__icontains=q)
return render(request, 'search_results.html',
{'books': books, 'query': q})
return render(request, 'search_form.html',
{'error': error})
In this updated view, if a user visits /search/ with no GET parameters,
he’ll see the search form with no error message. If a user submits the form
with an empty value for 'q', he’ll see the search form with an error
message. And, finally, if a user submits the form with a non-empty value for
'q', he’ll see the search results.
We can make one final improvement to this application, to remove a bit of
redundancy. Now that we’ve rolled the two views and URLs into one and
/search/ handles both search-form display and result display, the HTML
<form> in search_form.html doesn’t have to hard-code a URL. Instead
of this:
<form action="/search/" method="get">
It can be changed to this:
<form action="" method="get">
The action="" means “Submit the form to the same URL as the current page.”
With this change in place, you won’t have to remember to change the action
if you ever hook the search() view to another URL.
Simple validation
Our search example is still reasonably simple, particularly in terms of its
data validation; we’re merely checking to make sure the search query isn’t
empty. Many HTML forms include a level of validation that’s more complex than
making sure the value is non-empty. We’ve all seen the error messages on Web
sites:
- “Please enter a valid e-mail address. ‘foo’ is not an e-mail address.”
- “Please enter a valid five-digit U.S. ZIP code. ‘123’ is not a ZIP code.”
- “Please enter a valid date in the format YYYY-MM-DD.”
- “Please enter a password that is at least 8 characters long and contains
at least one number.”
A note on JavaScript validation
This is beyond the scope of this book, but you can use JavaScript to
validate data on the client side, directly in the browser. But be warned:
even if you do this, you must validate data on the server side, too. Some
people have JavaScript turned off, and some malicious users might submit
raw, unvalidated data directly to your form handler to see whether they can
cause mischief.
There’s nothing you can do about this, other than always validate
user-submitted data server-side (i.e., in your Django views). You should
think of JavaScript validation as a bonus usability feature, not as your
only means of validating.
Let’s tweak our search() view so that it validates that the search term is
less than or equal to 20 characters long. (For sake of example, let’s say
anything longer than that might make the query too slow.) How might we do that?
The simplest possible thing would be to embed the logic directly in the view,
like this:
def search(request):
error = False
if 'q' in request.GET:
q = request.GET['q']
if not q:
error = True
elif len(q) > 20:
error = True
else:
books = Book.objects.filter(title__icontains=q)
return render(request, 'search_results.html',
{'books': books, 'query': q})
return render(request, 'search_form.html',
{'error': error})
Now, if you try submitting a search query greater than 20 characters long,
it won’t let you search; you’ll get an error message. But that error message
in search_form.html currently says "Please submit a search term." –
so we’ll have to change it to be accurate for both cases:
<html>
<head>
<title>Search</title>
</head>
<body>
{% if error %}
<p style="color: red;">Please submit a search term 20 characters or shorter.</p>
{% endif %}
<form action="/search/" method="get">
<input type="text" name="q">
<input type="submit" value="Search">
</form>
</body>
</html>
There’s something ugly about this. Our one-size-fits-all error message is
potentially confusing. Why should the error message for an empty form
submission mention anything about a 20-character limit? Error messages should
be specific, unambiguous and not confusing.
The problem is in the fact that we’re using a simple boolean value for
error, whereas we should be using a list of error message strings. Here’s
how we might fix that:
def search(request):
errors = []
if 'q' in request.GET:
q = request.GET['q']
if not q:
errors.append('Enter a search term.')
elif len(q) > 20:
errors.append('Please enter at most 20 characters.')
else:
books = Book.objects.filter(title__icontains=q)
return render(request, 'search_results.html',
{'books': books, 'query': q})
return render(request, 'search_form.html',
{'errors': errors})
Then, we need make a small tweak to the search_form.html template to
reflect that it’s now passed an errors list instead of an error boolean
value:
<html>
<head>
<title>Search</title>
</head>
<body>
{% if errors %}
<ul>
{% for error in errors %}
<li>{{ error }}</li>
{% endfor %}
</ul>
{% endif %}
<form action="/search/" method="get">
<input type="text" name="q">
<input type="submit" value="Search">
</form>
</body>
</html>
Making a Contact Form
Although we iterated over the book search form example several times and
improved it nicely, it’s still fundamentally simple: just a single field,
'q'. Because it’s so simple, we didn’t even use Django’s form library to
deal with it. But more complex forms call for more complex treatment – and now
we’ll develop something more complex: a site contact form.
This will be a form that lets site users submit a bit of feedback, along with
an optional e-mail return address. After the form is submitted and the
data is validated, we’ll automatically send the message via e-mail to the site
staff.
We’ll start with our template, contact_form.html.
<html>
<head>
<title>Contact us</title>
</head>
<body>
<h1>Contact us</h1>
{% if errors %}
<ul>
{% for error in errors %}
<li>{{ error }}</li>
{% endfor %}
</ul>
{% endif %}
<form action="/contact/" method="post">
<p>Subject: <input type="text" name="subject"></p>
<p>Your e-mail (optional): <input type="text" name="email"></p>
<p>Message: <textarea name="message" rows="10" cols="50"></textarea></p>
<input type="submit" value="Submit">
</form>
</body>
</html>
We’ve defined three fields: the subject, e-mail address and message. The second
is optional, but the other two fields are required. Note we’re using
method="post" here instead of method="get" because this form submission
has a side effect – it sends an e-mail. Also, we copied the error-displaying
code from our previous template search_form.html.
If we continue down the road established by our search() view from the
previous section, a naive version of our contact() view might look like
this:
from django.core.mail import send_mail
from django.http import HttpResponseRedirect
from django.shortcuts import render
def contact(request):
errors = []
if request.method == 'POST':
if not request.POST.get('subject', ''):
errors.append('Enter a subject.')
if not request.POST.get('message', ''):
errors.append('Enter a message.')
if request.POST.get('email') and '@' not in request.POST['email']:
errors.append('Enter a valid e-mail address.')
if not errors:
send_mail(
request.POST['subject'],
request.POST['message'],
request.POST.get('email', 'noreply@example.com'),
['siteowner@example.com'],
)
return HttpResponseRedirect('/contact/thanks/')
return render(request, 'contact_form.html',
{'errors': errors})
(If you’re following along, you may be wondering whether to put this view in
the books/views.py file. It doesn’t have anything to do with the books
application, so should it live elsewhere? It’s totally up to you; Django
doesn’t care, as long as you’re able to point to the view from your URLconf.
Our personal preference would be to create a separate directory, contact,
at the same level in the directory tree as books. This would contain an
empty __init__.py and views.py.)
A couple of new things are happening here:
We’re checking that request.method is 'POST'. This will only be
true in the case of a form submission; it won’t be true if somebody is
merely viewing the contact form. (In the latter case,
request.method will be set to 'GET', because in normal Web browsing,
browsers use GET, not POST.) This makes it a nice way to isolate
the “form display” case from the “form processing” case.
Instead of request.GET, we’re using request.POST to access the
submitted form data. This is necessary because the HTML <form> in
contact_form.html uses method="post". If this view is accessed
via POST, then request.GET will be empty.
This time, we have two required fields, subject and message, so
we have to validate both. Note that we’re using request.POST.get()
and providing a blank string as the default value; this is a nice, short
way of handling both the cases of missing keys and missing data.
Although the email field is not required, we still validate it if it
is indeed submitted. Our validation algorithm here is fragile – we’re
just checking that the string contains an @ character. In the real
world, you’d want more robust validation (and Django provides it, which
we’ll show you very shortly).
We’re using the function django.core.mail.send_mail to send an
e-mail. This function has four required arguments: the e-mail subject,
the e-mail body, the “from” address, and a list of recipient addresses.
send_mail is a convenient wrapper around Django’s EmailMessage
class, which provides advanced features such as attachments, multipart
e-mails, and full control over e-mail headers.
Note that in order to send e-mail using send_mail(), your server must
be configured to send mail, and Django must be told about your outbound
e-mail server. See http://docs.djangoproject.com/en/dev/topics/email/ for
the specifics.
After the e-mail is sent, we redirect to a “success” page by returning an
HttpResponseRedirect object. We’ll leave the implementation of that
“success” page up to you (it’s a simple view/URLconf/template), but we
should explain why we initiate a redirect instead of, for example, simply
calling render() with a template right there.
The reason: if a user hits “Refresh” on a page that was loaded via
POST, that request will be repeated. This can often lead to undesired
behavior, such as a duplicate record being added to the database – or,
in our example, the e-mail being sent twice. If the user is redirected to
another page after the POST, then there’s no chance of repeating the
request.
You should always issue a redirect for successful POST requests.
It’s a Web development best practice.
This view works, but those validation functions are kind of crufty. Imagine
processing a form with a dozen fields; would you really want to have to write
all of those if statements?
Another problem is form redisplay. In the case of validation errors, it’s
best practice to redisplay the form with the previously submitted data
already filled in, so the user can see what he did wrong (and also so the user
doesn’t have to reenter data in fields that were submitted correctly). We
could manually pass the POST data back to the template, but we’d have to
edit each HTML field to insert the proper value in the proper place:
# views.py
def contact(request):
errors = []
if request.method == 'POST':
if not request.POST.get('subject', ''):
errors.append('Enter a subject.')
if not request.POST.get('message', ''):
errors.append('Enter a message.')
if request.POST.get('email') and '@' not in request.POST['email']:
errors.append('Enter a valid e-mail address.')
if not errors:
send_mail(
request.POST['subject'],
request.POST['message'],
request.POST.get('email', 'noreply@example.com'),
['siteowner@example.com'],
)
return HttpResponseRedirect('/contact/thanks/')
return render(request, 'contact_form.html', {
'errors': errors,
'subject': request.POST.get('subject', ''),
'message': request.POST.get('message', ''),
'email': request.POST.get('email', ''),
})
# contact_form.html
<html>
<head>
<title>Contact us</title>
</head>
<body>
<h1>Contact us</h1>
{% if errors %}
<ul>
{% for error in errors %}
<li>{{ error }}</li>
{% endfor %}
</ul>
{% endif %}
<form action="/contact/" method="post">
<p>Subject: <input type="text" name="subject" value="{{ subject }}"></p>
<p>Your e-mail (optional): <input type="text" name="email" value="{{ email }}"></p>
<p>Message: <textarea name="message" rows="10" cols="50">**{{ message }}**</textarea></p>
<input type="submit" value="Submit">
</form>
</body>
</html>
This is a lot of cruft, and it introduces a lot of opportunities for human
error. We hope you’re starting to see the opportunity for some higher-level
library that handles form- and validation-related tasks.
Your First Form Class
Django comes with a form library, called django.forms, that handles many of
the issues we’ve been exploring this chapter – from HTML form display to
validation. Let’s dive in and rework our contact form application using the
Django forms framework.
The primary way to use the forms framework is to define a Form class for
each HTML <form> you’re dealing with. In our case, we only have one
<form>, so we’ll have one Form class. This class can live anywhere you
want – including directly in your views.py file – but community
convention is to keep Form classes in a separate file called forms.py.
Create this file in the same directory as your views.py, and enter the
following:
from django import forms
class ContactForm(forms.Form):
subject = forms.CharField()
email = forms.EmailField(required=False)
message = forms.CharField()
This is pretty intuitive, and it’s similar to Django’s model syntax. Each field
in the form is represented by a type of Field class – CharField and
EmailField are the only types of fields used here – as attributes of a
Form class. Each field is required by default, so to make email
optional, we specify required=False.
Let’s hop into the Python interactive interpreter and see what this class can
do. The first thing it can do is display itself as HTML:
>>> from contact.forms import ContactForm
>>> f = ContactForm()
>>> print f
<tr><th><label for="id_subject">Subject:</label></th><td><input type="text" name="subject" id="id_subject" /></td></tr>
<tr><th><label for="id_email">Email:</label></th><td><input type="text" name="email" id="id_email" /></td></tr>
<tr><th><label for="id_message">Message:</label></th><td><input type="text" name="message" id="id_message" /></td></tr>
Django adds a label to each field, along with <label> tags for
accessibility. The idea is to make the default behavior as optimal as possible.
This default output is in the format of an HTML <table>, but there are a
few other built-in outputs:
>>> print f.as_ul()
<li><label for="id_subject">Subject:</label> <input type="text" name="subject" id="id_subject" /></li>
<li><label for="id_email">Email:</label> <input type="text" name="email" id="id_email" /></li>
<li><label for="id_message">Message:</label> <input type="text" name="message" id="id_message" /></li>
>>> print f.as_p()
<p><label for="id_subject">Subject:</label> <input type="text" name="subject" id="id_subject" /></p>
<p><label for="id_email">Email:</label> <input type="text" name="email" id="id_email" /></p>
<p><label for="id_message">Message:</label> <input type="text" name="message" id="id_message" /></p>
Note that the opening and closing <table>, <ul> and <form> tags
aren’t included in the output, so that you can add any additional rows and
customization if necessary.
These methods are just shortcuts for the common case of “display the entire
form.” You can also display the HTML for a particular field:
>>> print f['subject']
<input type="text" name="subject" id="id_subject" />
>>> print f['message']
<input type="text" name="message" id="id_message" />
The second thing Form objects can do is validate data. To validate data,
create a new Form object and pass it a dictionary of data that maps field
names to data:
>>> f = ContactForm({'subject': 'Hello', 'email': 'adrian@example.com', 'message': 'Nice site!'})
Once you’ve associated data with a Form instance, you’ve created a “bound”
form:
Call the is_valid() method on any bound Form to find out whether its
data is valid. We’ve passed a valid value for each field, so the Form in
its entirety is valid:
If we don’t pass the email field, it’s still valid, because we’ve specified
required=False for that field:
>>> f = ContactForm({'subject': 'Hello', 'message': 'Nice site!'})
>>> f.is_valid()
True
But, if we leave off either subject or message, the Form is no
longer valid:
>>> f = ContactForm({'subject': 'Hello'})
>>> f.is_valid()
False
>>> f = ContactForm({'subject': 'Hello', 'message': ''})
>>> f.is_valid()
False
You can drill down to get field-specific error messages:
>>> f = ContactForm({'subject': 'Hello', 'message': ''})
>>> f['message'].errors
[u'This field is required.']
>>> f['subject'].errors
[]
>>> f['email'].errors
[]
Each bound Form instance has an errors attribute that gives you a
dictionary mapping field names to error-message lists:
>>> f = ContactForm({'subject': 'Hello', 'message': ''})
>>> f.errors
{'message': [u'This field is required.']}
Finally, for Form instances whose data has been found to be valid, a
cleaned_data attribute is available. This is a dictionary of the
submitted data, “cleaned up.” Django’s forms framework not only validates
data, it cleans it up by converting values to the appropriate Python types.
>>> f = ContactForm({'subject': 'Hello', 'email': 'adrian@example.com', 'message': 'Nice site!'})
>>> f.is_valid()
True
>>> f.cleaned_data
{'message': u'Nice site!', 'email': u'adrian@example.com', 'subject': u'Hello'}
Our contact form only deals with strings, which are “cleaned” into Unicode
objects – but if we were to use an IntegerField or DateField, the
forms framework would ensure that cleaned_data used proper Python
integers or datetime.date objects for the given fields.
Changing How Fields Are Rendered
Probably the first thing you’ll notice when you render this form locally is
that the message field is displayed as an <input type="text">, and it
ought to be a <textarea>. We can fix that by setting the field’s widget:
from django import forms
class ContactForm(forms.Form):
subject = forms.CharField()
email = forms.EmailField(required=False)
message = forms.CharField(widget=forms.Textarea)
The forms framework separates out the presentation logic for each field into a
set of widgets. Each field type has a default widget, but you can easily
override the default, or provide a custom widget of your own.
Think of the Field classes as representing validation logic, while
widgets represent presentation logic.
Setting a Maximum Length
One of the most common validation needs is to check that a field is of a
certain size. For good measure, we should improve our ContactForm to limit
the subject to 100 characters. To do that, just supply a max_length to
the CharField, like this:
from django import forms
class ContactForm(forms.Form):
subject = forms.CharField(max_length=100)
email = forms.EmailField(required=False)
message = forms.CharField(widget=forms.Textarea)
An optional min_length argument is also available.
Setting Initial Values
As an improvement to this form, let’s add an initial value for the
subject field: "I love your site!" (A little power of suggestion can’t
hurt.) To do this, we can use the initial argument when we create a
Form instance:
def contact(request):
if request.method == 'POST':
form = ContactForm(request.POST)
if form.is_valid():
cd = form.cleaned_data
send_mail(
cd['subject'],
cd['message'],
cd.get('email', 'noreply@example.com'),
['siteowner@example.com'],
)
return HttpResponseRedirect('/contact/thanks/')
else:
form = ContactForm(
initial={'subject': 'I love your site!'}
)
return render(request, 'contact_form.html', {'form': form})
Now, the subject field will be displayed prepopulated with that kind
statement.
Note that there is a difference between passing initial data and passing
data that binds the form. The biggest difference is that if you’re just
passing initial data, then the form will be unbound, which means it won’t
have any error messages.
Custom Validation Rules
Imagine we’ve launched our feedback form, and the e-mails have started tumbling
in. There’s just one problem: some of the submitted messages are just one or
two words, which isn’t long enough for us to make sense of. We decide to adopt
a new validation policy: four words or more, please.
There are a number of ways to hook custom validation into a Django form. If our
rule is something we will reuse again and again, we can create a custom field
type. Most custom validations are one-off affairs, though, and can be tied
directly to the Form class.
We want additional validation on the message field, so we add a
clean_message() method to our Form class:
from django import forms
class ContactForm(forms.Form):
subject = forms.CharField(max_length=100)
email = forms.EmailField(required=False)
message = forms.CharField(widget=forms.Textarea)
def clean_message(self):
message = self.cleaned_data['message']
num_words = len(message.split())
if num_words < 4:
raise forms.ValidationError("Not enough words!")
return message
Django’s form system automatically looks for any method whose name starts with
clean_ and ends with the name of a field. If any such method exists, it’s
called during validation.
Specifically, the clean_message() method will be called after the default
validation logic for a given field (in this case, the validation logic for a
required CharField). Because the field data has already been partially
processed, we pull it out of self.cleaned_data. Also, we don’t have to
worry about checking that the value exists and is non-empty; that’s done by the
default validator.
We naively use a combination of len() and split() to count the number
of words. If the user has entered too few words, we raise a
forms.ValidationError. The string attached to this exception will be
displayed to the user as an item in the error list.
It’s important that we explicitly return the cleaned value for the field at the
end of the method. This allows us to modify the value (or convert it to a
different Python type) within our custom validation method. If we forget the
return statement, then None will be returned, and the original value will
be lost.
Specifying labels
By default, the labels on Django’s auto-generated form HTML are created by
replacing underscores with spaces and capitalizing the first letter – so the
label for the email field is "Email". (Sound familiar? It’s the same
simple algorithm that Django’s models use to calculate default verbose_name
values for fields. We covered this in Chapter 5.)
But, as with Django’s models, we can customize the label for a given field.
Just use label, like so:
class ContactForm(forms.Form):
subject = forms.CharField(max_length=100)
email = forms.EmailField(required=False, label='Your e-mail address')
message = forms.CharField(widget=forms.Textarea)
What’s Next?
This chapter concludes the introductory material in this book – the so-called
“core curriculum.” The next section of the book, Chapters 8 to 12, goes into
more detail about advanced Django usage, including how to deploy a Django
application (Chapter 12).
After these first seven chapters, you should know enough to start writing your
own Django projects. The rest of the material in this book will help fill in the
missing pieces as you need them.
We’ll start in Chapter 8, by doubling back and taking a closer look at views
and URLconfs (introduced first in chapter03).
Chapter 8: Advanced Views and URLconfs
In Chapter 3, we explained the basics of Django view functions and URLconfs.
This chapter goes into more detail about advanced functionality in those two
pieces of the framework.
URLconf Tricks
There’s nothing “special” about URLconfs – like anything else in Django,
they’re just Python code. You can take advantage of this in several ways, as
described in the sections that follow.
Streamlining Function Imports
Consider this URLconf, which builds on the example in Chapter 3:
from django.conf.urls.defaults import *
from mysite.views import hello, current_datetime, hours_ahead
urlpatterns = patterns('',
(r'^hello/$', hello),
(r'^time/$', current_datetime),
(r'^time/plus/(\d{1,2})/$', hours_ahead),
)
As explained in Chapter 3, each entry in the URLconf includes its associated
view function, passed directly as a function object. This means it’s necessary
to import the view functions at the top of the module.
But as a Django application grows in complexity, its URLconf grows, too, and
keeping those imports can be tedious to manage. (For each new view function,
you have to remember to import it, and the import statement tends to get
overly long if you use this approach.) It’s possible to avoid that tedium by
importing the views module itself. This example URLconf is equivalent to
the previous one:
from django.conf.urls.defaults import *
from mysite import views
urlpatterns = patterns('',
(r'^hello/$', views.hello),
(r'^time/$', views.current_datetime),
(r'^time/plus/(d{1,2})/$', views.hours_ahead),
)
Django offers another way of specifying the view function for a particular
pattern in the URLconf: you can pass a string containing the module name and
function name rather than the function object itself. Continuing the ongoing
example:
from django.conf.urls.defaults import *
urlpatterns = patterns('',
(r'^hello/$', 'mysite.views.hello'),
(r'^time/$', 'mysite.views.current_datetime'),
(r'^time/plus/(d{1,2})/$', 'mysite.views.hours_ahead'),
)
(Note the quotes around the view names. We’re using
'mysite.views.current_datetime' – with quotes – instead of
mysite.views.current_datetime.)
Using this technique, it’s no longer necessary to import the view functions;
Django automatically imports the appropriate view function the first time it’s
needed, according to the string describing the name and path of the view
function.
A further shortcut you can take when using the string technique is to factor
out a common “view prefix.” In our URLconf example, each of the view strings
starts with 'mysite.views', which is redundant to type. We can factor out
that common prefix and pass it as the first argument to patterns(), like
this:
from django.conf.urls.defaults import *
urlpatterns = patterns('mysite.views',
(r'^hello/$', 'hello'),
(r'^time/$', 'current_datetime'),
(r'^time/plus/(d{1,2})/$', 'hours_ahead'),
)
Note that you don’t put a trailing dot (".") in the prefix, nor do you put
a leading dot in the view strings. Django puts those in automatically.
With these two approaches in mind, which is better? It really depends on your
personal coding style and needs.
Advantages of the string approach are as follows:
- It’s more compact, because it doesn’t require you to import the view
functions.
- It results in more readable and manageable URLconfs if your view
functions are spread across several different Python modules.
Advantages of the function object approach are as follows:
- It allows for easy “wrapping” of view functions. See the section “Wrapping View
Functions” later in this chapter.
- It’s more “Pythonic” – that is, it’s more in line with Python
traditions, such as passing functions as objects.
Both approaches are valid, and you can even mix them within the same URLconf.
The choice is yours.
Using Multiple View Prefixes
In practice, if you use the string technique, you’ll probably end up mixing
views to the point where the views in your URLconf won’t have a common prefix.
However, you can still take advantage of the view prefix shortcut to
remove duplication. Just add multiple patterns() objects together, like
this:
Old:
from django.conf.urls.defaults import *
urlpatterns = patterns('',
(r'^hello/$', 'mysite.views.hello'),
(r'^time/$', 'mysite.views.current_datetime'),
(r'^time/plus/(\d{1,2})/$', 'mysite.views.hours_ahead'),
(r'^tag/(\w+)/$', 'weblog.views.tag'),
)
New:
from django.conf.urls.defaults import *
urlpatterns = patterns('mysite.views',
(r'^hello/$', 'hello'),
(r'^time/$', 'current_datetime'),
(r'^time/plus/(\d{1,2})/$', 'hours_ahead'),
)
urlpatterns += patterns('weblog.views',
(r'^tag/(\w+)/$', 'tag'),
)
All the framework cares about is that there’s a module-level variable called
urlpatterns. This variable can be constructed dynamically, as we do in this
example. We should specifically point out that the objects returned by
patterns() can be added together, which is something you might not have
expected.
Special-Casing URLs in Debug Mode
Speaking of constructing urlpatterns dynamically, you might want to take
advantage of this technique to alter your URLconf’s behavior while in Django’s
debug mode. To do this, just check the value of the DEBUG setting at
runtime, like so:
from django.conf import settings
from django.conf.urls.defaults import *
from mysite import views
urlpatterns = patterns('',
(r'^$', views.homepage),
(r'^(\d{4})/([a-z]{3})/$', views.archive_month),
)
if settings.DEBUG:
urlpatterns += patterns('',
(r'^debuginfo/$', views.debug),
)
In this example, the URL /debuginfo/ will only be available if your
DEBUG setting is set to True.
Using Named Groups
In all of our URLconf examples so far, we’ve used simple, non-named
regular expression groups – that is, we put parentheses around parts of the URL
we wanted to capture, and Django passes that captured text to the view
function as a positional argument. In more advanced usage, it’s possible to use
named regular expression groups to capture URL bits and pass them as
keyword arguments to a view.
Keyword Arguments vs. Positional Arguments
A Python function can be called using keyword arguments or positional
arguments – and, in some cases, both at the same time. In a keyword
argument call, you specify the names of the arguments along with the values
you’re passing. In a positional argument call, you simply pass the
arguments without explicitly specifying which argument matches which value;
the association is implicit in the arguments’ order.
For example, consider this simple function:
def sell(item, price, quantity):
print "Selling %s unit(s) of %s at %s" % (quantity, item, price)
To call it with positional arguments, you specify the arguments in the
order in which they’re listed in the function definition:
sell('Socks', '$2.50', 6)
To call it with keyword arguments, you specify the names of the arguments
along with the values. The following statements are equivalent:
sell(item='Socks', price='$2.50', quantity=6)
sell(item='Socks', quantity=6, price='$2.50')
sell(price='$2.50', item='Socks', quantity=6)
sell(price='$2.50', quantity=6, item='Socks')
sell(quantity=6, item='Socks', price='$2.50')
sell(quantity=6, price='$2.50', item='Socks')
Finally, you can mix keyword and positional arguments, as long as all
positional arguments are listed before keyword arguments. The following
statements are equivalent to the previous examples:
sell('Socks', '$2.50', quantity=6)
sell('Socks', price='$2.50', quantity=6)
sell('Socks', quantity=6, price='$2.50')
In Python regular expressions, the syntax for named regular expression groups
is (?P<name>pattern), where name is the name of the group and
pattern is some pattern to match.
Here’s an example URLconf that uses non-named groups:
from django.conf.urls.defaults import *
from mysite import views
urlpatterns = patterns('',
(r'^articles/(\d{4})/$', views.year_archive),
(r'^articles/(\d{4})/(\d{2})/$', views.month_archive),
)
Here’s the same URLconf, rewritten to use named groups:
from django.conf.urls.defaults import *
from mysite import views
urlpatterns = patterns('',
(r'^articles/(?P<year>\d{4})/$', views.year_archive),
(r'^articles/(?P<year>\d{4})/(?P<month>\d{2})/$', views.month_archive),
)
This accomplishes exactly the same thing as the previous example, with one
subtle difference: the captured values are passed to view functions as keyword
arguments rather than positional arguments.
For example, with non-named groups, a request to /articles/2006/03/ would
result in a function call equivalent to this:
month_archive(request, '2006', '03')
With named groups, though, the same request would result in this function call:
month_archive(request, year='2006', month='03')
In practice, using named groups makes your URLconfs slightly more explicit and
less prone to argument-order bugs – and you can reorder the arguments in your
views’ function definitions. Following the preceding example, if we wanted to
change the URLs to include the month before the year, and we were using
non-named groups, we’d have to remember to change the order of arguments in the
month_archive view. If we were using named groups, changing the order of
the captured parameters in the URL would have no effect on the view.
Of course, the benefits of named groups come at the cost of brevity; some
developers find the named-group syntax ugly and too verbose. Still, another
advantage of named groups is readability, especially by those who aren’t
intimately familiar with regular expressions or your particular Django
application. It’s easier to see what’s happening, at a glance, in a
URLconf that uses named groups.
Understanding the Matching/Grouping Algorithm
A caveat with using named groups in a URLconf is that a single URLconf pattern
cannot contain both named and non-named groups. If you do this, Django won’t
throw any errors, but you’ll probably find that your URLs aren’t matching as
you expect. Specifically, here’s the algorithm the URLconf parser follows, with
respect to named groups vs. non-named groups in a regular expression:
- If there are any named arguments, it will use those, ignoring non-named
arguments.
- Otherwise, it will pass all non-named arguments as positional arguments.
- In both cases, it will pass any extra options as keyword arguments. See
the next section for more information.
Using Default View Arguments
Another convenient trick is to specify default parameters for a view’s
arguments. This tells the view which value to use for a parameter by default if
none is specified.
An example:
# urls.py
from django.conf.urls.defaults import *
from mysite import views
urlpatterns = patterns('',
(r'^blog/$', views.page),
(r'^blog/page(?P<num>\d+)/$', views.page),
)
# views.py
def page(request, num='1'):
# Output the appropriate page of blog entries, according to num.
# ...
Here, both URL patterns point to the same view – views.page – but the
first pattern doesn’t capture anything from the URL. If the first pattern
matches, the page() function will use its default argument for num,
'1'. If the second pattern matches, page() will use whatever num
value was captured by the regular expression.
(Note that we’ve been careful to set the default argument’s value to the
string '1', not the integer 1. That’s for consistency, because
any captured value for num will always be a string.)
It’s common to use this technique in conjunction with configuration options,
as explained earlier. This example makes a slight improvement to the example in
the “Giving a View Configuration Options” section by providing a default
value for template_name:
def my_view(request, template_name='mysite/my_view.html'):
var = do_something()
return render(request, template_name, {'var': var})
Special-Casing Views
Sometimes you’ll have a pattern in your URLconf that handles a large set of
URLs, but you’ll need to special-case one of them. In this case, take advantage
of the linear way a URLconf is processed and put the special case first.
For example, you can think of the “add an object” pages in Django’s admin site
as represented by a URLpattern like this:
urlpatterns = patterns('',
# ...
('^([^/]+)/([^/]+)/add/$', views.add_stage),
# ...
)
This matches URLs such as /myblog/entries/add/ and /auth/groups/add/.
However, the “add” page for a user object (/auth/user/add/) is a special
case – it doesn’t display all of the form fields, it displays two password
fields, and so forth. We could solve this problem by special-casing in the
view, like so:
def add_stage(request, app_label, model_name):
if app_label == 'auth' and model_name == 'user':
# do special-case code
else:
# do normal code
but that’s inelegant for a reason we’ve touched on multiple times in this
chapter: it puts URL logic in the view. As a more elegant solution, we can take
advantage of the fact that URLconfs are processed in order from top to bottom:
urlpatterns = patterns('',
# ...
('^auth/user/add/$', views.user_add_stage),
('^([^/]+)/([^/]+)/add/$', views.add_stage),
# ...
)
With this in place, a request to /auth/user/add/ will be handled by the
user_add_stage view. Although that URL matches the second pattern, it
matches the top one first. (This is short-circuit logic.)
Capturing Text in URLs
Each captured argument is sent to the view as a plain Python Unicode string,
regardless of what sort of match the regular expression makes. For example, in
this URLconf line:
(r'^articles/(?P<year>\d{4})/$', views.year_archive),
the year argument to views.year_archive() will be a string, not
an integer, even though \d{4} will only match integer strings.
This is important to keep in mind when you’re writing view code. Many built-in
Python functions are fussy (and rightfully so) about accepting only objects of
a certain type. A common error is to attempt to create a datetime.date
object with string values instead of integer values:
>>> import datetime
>>> datetime.date('1993', '7', '9')
Traceback (most recent call last):
...
TypeError: an integer is required
>>> datetime.date(1993, 7, 9)
datetime.date(1993, 7, 9)
Translated to a URLconf and view, the error looks like this:
# urls.py
from django.conf.urls.defaults import *
from mysite import views
urlpatterns = patterns('',
(r'^articles/(\d{4})/(\d{2})/(\d{2})/$', views.day_archive),
)
# views.py
import datetime
def day_archive(request, year, month, day):
# The following statement raises a TypeError!
date = datetime.date(year, month, day)
Instead, day_archive() can be written correctly like this:
def day_archive(request, year, month, day):
date = datetime.date(int(year), int(month), int(day))
Note that int() itself raises a ValueError when you pass it a string
that is not composed solely of digits, but we’re avoiding that error in this
case because the regular expression in our URLconf has ensured that only
strings containing digits are passed to the view function.
Determining What the URLconf Searches Against
When a request comes in, Django tries to match the URLconf patterns against the
requested URL, as a Python string. This does not include GET or POST
parameters, or the domain name. It also does not include the leading slash,
because every URL has a leading slash.
For example, in a request to http://www.example.com/myapp/, Django will try
to match myapp/. In a request to http://www.example.com/myapp/?page=3,
Django will try to match myapp/.
The request method (e.g., POST, GET) is not taken into account when
traversing the URLconf. In other words, all request methods will be routed to
the same function for the same URL. It’s the responsibility of a view function
to perform branching based on request method.
Higher-Level Abstractions of View Functions
And speaking of branching based on request method, let’s take a look at how we
might build a nice way of doing that. Consider this URLconf/view layout:
# urls.py
from django.conf.urls.defaults import *
from mysite import views
urlpatterns = patterns('',
# ...
(r'^somepage/$', views.some_page),
# ...
)
# views.py
from django.http import Http404, HttpResponseRedirect
from django.shortcuts import render
def some_page(request):
if request.method == 'POST':
do_something_for_post()
return HttpResponseRedirect('/someurl/')
elif request.method == 'GET':
do_something_for_get()
return render(request, 'page.html')
else:
raise Http404()
In this example, the some_page() view’s handling of POST vs. GET
requests is quite different. The only thing they have in common is a shared
URL: /somepage/. As such, it’s kind of inelegant to deal with both POST
and GET in the same view function. It would be nice if we could have two
separate view functions – one handling GET requests and the other handling
POST – and ensuring each one was only called when appropriate.
We can do that by writing a view function that delegates to other views,
either before or after executing some custom logic. Here’s an example of how
this technique could help simplify our some_page() view:
# views.py
from django.http import Http404, HttpResponseRedirect
from django.shortcuts import render
def method_splitter(request, GET=None, POST=None):
if request.method == 'GET' and GET is not None:
return GET(request)
elif request.method == 'POST' and POST is not None:
return POST(request)
raise Http404
def some_page_get(request):
assert request.method == 'GET'
do_something_for_get()
return render(request, 'page.html')
def some_page_post(request):
assert request.method == 'POST'
do_something_for_post()
return HttpResponseRedirect('/someurl/')
# urls.py
from django.conf.urls.defaults import *
from mysite import views
urlpatterns = patterns('',
# ...
(r'^somepage/$', views.method_splitter, {'GET': views.some_page_get, 'POST': views.some_page_post}),
# ...
)
Let’s go through what this does:
We’ve written a new view, method_splitter(), that delegates to other
views based on request.method. It looks for two keyword arguments,
GET and POST, which should be view functions. If
request.method is 'GET', then it calls the GET view. If
request.method is 'POST', then it calls the POST view. If
request.method is something else (HEAD, etc.), or if GET or
POST were not supplied to the function, then it raises an
Http404.
In the URLconf, we point /somepage/ at method_splitter() and pass
it extra arguments – the view functions to use for GET and POST,
respectively.
Finally, we’ve split the some_page() view into two view functions –
some_page_get() and some_page_post(). This is much nicer than
shoving all of that logic into a single view.
Note that these view functions technically no longer have to check
request.method, because method_splitter() does that. (By the time
some_page_post() is called, for example, we can be confident
request.method is 'post'.) Still, just to be safe, and also to
serve as documentation, we stuck in an assert that makes sure
request.method is what we expect it to be.
Now we have ourselves a nice, generic view function that encapsulates the logic
of delegating a view by request.method. Nothing about method_splitter()
is tied to our specific application, of course, so we can reuse it in other
projects.
But, while we’re at it, there’s one way to improve on method_splitter().
As it’s written, it assumes that the GET and POST views take no
arguments other than request. What if we wanted to use
method_splitter() with views that, for example, capture text from URLs,
or take optional keyword arguments themselves?
To do that, we can use a nice Python feature: variable arguments with
asterisks. We’ll show the example first, then explain it:
def method_splitter(request, *args, **kwargs):
get_view = kwargs.pop('GET', None)
post_view = kwargs.pop('POST', None)
if request.method == 'GET' and get_view is not None:
return get_view(request, *args, **kwargs)
elif request.method == 'POST' and post_view is not None:
return post_view(request, *args, **kwargs)
raise Http404
Here, we’ve refactored method_splitter() to remove the GET and POST
keyword arguments, in favor of *args and **kwargs (note the asterisks).
This is a Python feature that allows a function to accept a dynamic, arbitrary
number of arguments whose names aren’t known until runtime. If you put a single
asterisk in front of a parameter in a function definition, any positional
arguments to that function will be rolled up into a single tuple. If you put
two asterisks in front of a parameter in a function definition, any keyword
arguments to that function will be rolled up into a single dictionary.
For example, with this function:
def foo(*args, **kwargs):
print "Positional arguments are:"
print args
print "Keyword arguments are:"
print kwargs
Here’s how it would work:
>>> foo(1, 2, 3)
Positional arguments are:
(1, 2, 3)
Keyword arguments are:
{}
>>> foo(1, 2, name='Adrian', framework='Django')
Positional arguments are:
(1, 2)
Keyword arguments are:
{'framework': 'Django', 'name': 'Adrian'}
Bringing this back to method_splitter(), you can see we’re using *args
and **kwargs to accept any arguments to the function and pass them along
to the appropriate view. But before we do that, we make two calls to
kwargs.pop() to get the GET and POST arguments, if they’re
available. (We’re using pop() with a default value of None to avoid
KeyError if one or the other isn’t defined.)
Wrapping View Functions
Our final view trick takes advantage of an advanced Python technique. Say you
find yourself repeating a bunch of code throughout various views, as in this
example:
def my_view1(request):
if not request.user.is_authenticated():
return HttpResponseRedirect('/accounts/login/')
# ...
return render(request, 'template1.html')
def my_view2(request):
if not request.user.is_authenticated():
return HttpResponseRedirect('/accounts/login/')
# ...
return render(request, 'template2.html')
def my_view3(request):
if not request.user.is_authenticated():
return HttpResponseRedirect('/accounts/login/')
# ...
return render(request, 'template3.html')
Here, each view starts by checking that request.user is authenticated
– that is, the current user has successfully logged into the site – and
redirects to /accounts/login/ if not. (Note that we haven’t yet covered
request.user – Chapter 14 does – but, as you might imagine,
request.user represents the current user, either logged-in or anonymous.)
It would be nice if we could remove that bit of repetitive code from each of
these views and just mark them as requiring authentication. We can do that by
making a view wrapper. Take a moment to study this:
def requires_login(view):
def new_view(request, *args, **kwargs):
if not request.user.is_authenticated():
return HttpResponseRedirect('/accounts/login/')
return view(request, *args, **kwargs)
return new_view
This function, requires_login, takes a view function (view) and returns
a new view function (new_view). The new function, new_view is defined
within requires_login and handles the logic of checking
request.user.is_authenticated() and delegating to the original view
(view).
Now, we can remove the if not request.user.is_authenticated() checks from
our views and simply wrap them with requires_login in our URLconf:
from django.conf.urls.defaults import *
from mysite.views import requires_login, my_view1, my_view2, my_view3
urlpatterns = patterns('',
(r'^view1/$', requires_login(my_view1)),
(r'^view2/$', requires_login(my_view2)),
(r'^view3/$', requires_login(my_view3)),
)
This has the same effect as before, but with less code redundancy. Now we’ve
created a nice, generic function – requires_login() that we can wrap
around any view in order to make it require login.
Including Other URLconfs
If you intend your code to be used on multiple Django-based sites, you should
consider arranging your URLconfs in such a way that allows for “including.”
At any point, your URLconf can “include” other URLconf modules. This
essentially “roots” a set of URLs below other ones. For example, this
URLconf includes other URLconfs:
from django.conf.urls.defaults import *
urlpatterns = patterns('',
(r'^weblog/', include('mysite.blog.urls')),
(r'^photos/', include('mysite.photos.urls')),
(r'^about/$', 'mysite.views.about'),
)
(We saw this before in Chapter 6, when we introduced the Django admin site. The
admin site has its own URLconf that you merely include() within yours.)
There’s an important gotcha here: the regular expressions in this example that
point to an include() do not have a $ (end-of-string match character)
but do include a trailing slash. Whenever Django encounters include(), it
chops off whatever part of the URL matched up to that point and sends the
remaining string to the included URLconf for further processing.
Continuing this example, here’s the URLconf mysite.blog.urls:
from django.conf.urls.defaults import *
urlpatterns = patterns('',
(r'^(\d\d\d\d)/$', 'mysite.blog.views.year_detail'),
(r'^(\d\d\d\d)/(\d\d)/$', 'mysite.blog.views.month_detail'),
)
With these two URLconfs, here’s how a few sample requests would be handled:
- /weblog/2007/: In the first URLconf, the pattern r'^weblog/'
matches. Because it is an include(), Django strips all the matching
text, which is 'weblog/' in this case. The remaining part of the URL
is 2007/, which matches the first line in the mysite.blog.urls
URLconf.
- /weblog//2007/ (with two slashes): In the first URLconf, the pattern
r'^weblog/' matches. Because it is an include(), Django strips
all the matching text, which is 'weblog/' in this case. The remaining
part of the URL is /2007/ (with a leading slash), which does not
match any of the lines in the mysite.blog.urls URLconf.
- /about/: This matches the view mysite.views.about in the first
URLconf, demonstrating that you can mix include() patterns with
non-include() patterns.
How Captured Parameters Work with include()
An included URLconf receives any captured parameters from parent URLconfs, for
example:
# root urls.py
from django.conf.urls.defaults import *
urlpatterns = patterns('',
(r'^(?P<username>\w+)/blog/', include('foo.urls.blog')),
)
# foo/urls/blog.py
from django.conf.urls.defaults import *
urlpatterns = patterns('',
(r'^$', 'foo.views.blog_index'),
(r'^archive/$', 'foo.views.blog_archive'),
)
In this example, the captured username variable is passed to the
included URLconf and, hence, to every view function within that URLconf.
Note that the captured parameters will always be passed to every line in
the included URLconf, regardless of whether the line’s view actually accepts
those parameters as valid. For this reason, this technique is useful only if
you’re certain that every view in the included URLconf accepts the
parameters you’re passing.
What’s Next?
This chapter has provided many advanced tips and tricks for views and URLconfs.
Next, in Chapter 9, we’ll give this advanced treatment to Django’s template
system.
Chapter 9: Advanced Templates
Although most of your interactions with Django’s template language will be in
the role of template author, you may want to customize and extend the template
engine – either to make it do something it doesn’t already do, or to make your
job easier in some other way.
This chapter delves deep into the guts of Django’s template system. It covers
what you need to know if you plan to extend the system or if you’re just
curious about how it works. It also covers the auto-escaping feature, a
security measure you’ll no doubt notice over time as you continue to use
Django.
If you’re looking to use the Django template system as part of another
application (i.e., without the rest of the framework), make sure to read the
“Configuring the Template System in Standalone Mode” section later in the
chapter.
Template Language Review
First, let’s quickly review a number of terms introduced in Chapter 4:
A template is a text document, or a normal Python string, that is
marked up using the Django template language. A template can contain
template tags and variables.
A template tag is a symbol within a template that does something. This
definition is deliberately vague. For example, a template tag can produce
content, serve as a control structure (an if statement or for
loop), grab content from a database, or enable access to other template
tags.
Template tags are surrounded by {% and %}:
{% if is_logged_in %}
Thanks for logging in!
{% else %}
Please log in.
{% endif %}
A variable is a symbol within a template that outputs a value.
Variable tags are surrounded by {{ and }}:
My first name is {{ first_name }}. My last name is {{ last_name }}.
A context is a name -> value mapping (similar to a Python
dictionary) that is passed to a template.
A template renders a context by replacing the variable “holes” with
values from the context and executing all template tags.
For more details about the basics of these terms, refer back to Chapter 4.
The rest of this chapter discusses ways of extending the template engine. First,
though, let’s take a quick look at a few internals left out of Chapter 4 for
simplicity.
RequestContext and Context Processors
When rendering a template, you need a context. This can be an instance of
django.template.Context, but Django also comes with a subclass,
django.template.RequestContext, that acts slightly differently.
RequestContext adds a bunch of variables to your template context by
default – things like the HttpRequest object or information about the
currently logged-in user. The render() shortcut creates a RequestContext
unless it is passed a different context instance explicitly.
Use RequestContext when you don’t want to have to specify the same set of
variables in a series of templates. For example, consider these two views:
from django.template import loader, Context
def view_1(request):
# ...
t = loader.get_template('template1.html')
c = Context({
'app': 'My app',
'user': request.user,
'ip_address': request.META['REMOTE_ADDR'],
'message': 'I am view 1.'
})
return t.render(c)
def view_2(request):
# ...
t = loader.get_template('template2.html')
c = Context({
'app': 'My app',
'user': request.user,
'ip_address': request.META['REMOTE_ADDR'],
'message': 'I am the second view.'
})
return t.render(c)
(Note that we’re deliberately not using the render() shortcut
in these examples – we’re manually loading the templates, constructing the
context objects and rendering the templates. We’re “spelling out” all of the
steps for the purpose of clarity.)
Each view passes the same three variables – app, user and
ip_address – to its template. Wouldn’t it be nice if we could remove that
redundancy?
RequestContext and context processors were created to solve this
problem. Context processors let you specify a number of variables that get set
in each context automatically – without you having to specify the variables in
each render() call. The catch is that you have to use
RequestContext instead of Context when you render a template.
The most low-level way of using context processors is to create some processors
and pass them to RequestContext. Here’s how the above example could be
written with context processors:
from django.template import loader, RequestContext
def custom_proc(request):
"A context processor that provides 'app', 'user' and 'ip_address'."
return {
'app': 'My app',
'user': request.user,
'ip_address': request.META['REMOTE_ADDR']
}
def view_1(request):
# ...
t = loader.get_template('template1.html')
c = RequestContext(request, {'message': 'I am view 1.'},
processors=[custom_proc])
return t.render(c)
def view_2(request):
# ...
t = loader.get_template('template2.html')
c = RequestContext(request, {'message': 'I am the second view.'},
processors=[custom_proc])
return t.render(c)
Let’s step through this code:
- First, we define a function custom_proc. This is a context processor
– it takes an HttpRequest object and returns a dictionary of
variables to use in the template context. That’s all it does.
- We’ve changed the two view functions to use RequestContext instead
of Context. There are two differences in how the context is
constructed. One, RequestContext requires the first argument to be an
HttpRequest object – the one that was passed into the view function
in the first place (request). Two, RequestContext takes an
optional processors argument, which is a list or tuple of context
processor functions to use. Here, we pass in custom_proc, the custom
processor we defined above.
- Each view no longer has to include app, user or ip_address in
its context construction, because those are provided by custom_proc.
- Each view still has the flexibility to introduce any custom template
variables it might need. In this example, the message template
variable is set differently in each view.
In Chapter 4, we introduced the render() shortcut, which saves
you from having to call loader.get_template(), then create a Context,
then call the render() method on the template. In order to demonstrate the
lower-level workings of context processors, the above examples didn’t use
render(), . But it’s possible – and preferable – to use
context processors with render(). Do this with the
context_instance argument, like so:
from django.shortcuts import render
from django.template import RequestContext
def custom_proc(request):
"A context processor that provides 'app', 'user' and 'ip_address'."
return {
'app': 'My app',
'user': request.user,
'ip_address': request.META['REMOTE_ADDR']
}
def view_1(request):
# ...
return render(request, 'template1.html',
{'message': 'I am view 1.'},
context_instance=RequestContext(request, processors=[custom_proc]))
def view_2(request):
# ...
return render(request, 'template2.html',
{'message': 'I am the second view.'},
context_instance=RequestContext(request, processors=[custom_proc]))
Here, we’ve trimmed down each view’s template rendering code to a single
(wrapped) line.
This is an improvement, but, evaluating the conciseness of this code, we have
to admit we’re now almost overdosing on the other end of the spectrum. We’ve
removed redundancy in data (our template variables) at the cost of adding
redundancy in code (in the processors call). Using context processors
doesn’t save you much typing if you have to type processors all the time.
For that reason, Django provides support for global context processors. The
TEMPLATE_CONTEXT_PROCESSORS setting (in your settings.py) designates
which context processors should always be applied to RequestContext. This
removes the need to specify processors each time you use
RequestContext.
By default, TEMPLATE_CONTEXT_PROCESSORS is set to the following:
TEMPLATE_CONTEXT_PROCESSORS = (
'django.core.context_processors.auth',
'django.core.context_processors.debug',
'django.core.context_processors.i18n',
'django.core.context_processors.media',
)
This setting is a tuple of callables that use the same interface as our
custom_proc function above – functions that take a request object as their
argument and return a dictionary of items to be merged into the context. Note
that the values in TEMPLATE_CONTEXT_PROCESSORS are specified as strings,
which means the processors are required to be somewhere on your Python path
(so you can refer to them from the setting).
Each processor is applied in order. That is, if one processor adds a variable
to the context and a second processor adds a variable with the same name, the
second will override the first.
Django provides a number of simple context processors, including the ones that
are enabled by default:
django.core.context_processors.auth
If TEMPLATE_CONTEXT_PROCESSORS contains this processor, every
RequestContext will contain these variables:
- user: A django.contrib.auth.models.User instance representing the
current logged-in user (or an AnonymousUser instance, if the client
isn’t logged in).
- messages: A list of messages (as strings) for the current logged-in
user. Behind the scenes, this variable calls
request.user.get_and_delete_messages() for every request. That method
collects the user’s messages and deletes them from the database.
- perms: An instance of django.core.context_processors.PermWrapper,
which represents the permissions the current logged-in user has.
See Chapter 14 for more information on users, permissions, and messages.
django.core.context_processors.debug
This processor pushes debugging information down to the template layer. If
TEMPLATE_CONTEXT_PROCESSORS contains this processor, every
RequestContext will contain these variables:
- debug: The value of your DEBUG setting (either True or
False). You can use this variable in templates to test whether you’re
in debug mode.
- sql_queries: A list of {'sql': ..., 'time': ...} dictionaries
representing every SQL query that has happened so far during the request
and how long it took. The list is in the order in which the queries were
issued.
Because debugging information is sensitive, this context processor will only
add variables to the context if both of the following conditions are true:
- The DEBUG setting is True.
- The request came from an IP address in the INTERNAL_IPS setting.
Astute readers will notice that the debug template variable will never have
the value False because, if DEBUG is False, then the debug
template variable won’t be populated in the first place.
django.core.context_processors.i18n
If this processor is enabled, every RequestContext will contain these
variables:
- LANGUAGES: The value of the LANGUAGES setting.
- LANGUAGE_CODE: request.LANGUAGE_CODE if it exists; otherwise, the
value of the LANGUAGE_CODE setting.
Appendix D provides more information about these two settings.
django.core.context_processors.request
If this processor is enabled, every RequestContext will contain a variable
request, which is the current HttpRequest object. Note that this
processor is not enabled by default; you have to activate it.
You might want to use this if you find your templates needing to access
attributes of the current HttpRequest such as the IP address:
{{ request.REMOTE_ADDR }}
Guidelines for Writing Your Own Context Processors
Here are a few tips for rolling your own:
- Make each context processor responsible for the smallest subset of
functionality possible. It’s easy to use multiple processors, so you
might as well split functionality into logical pieces for future reuse.
- Keep in mind that any context processor in TEMPLATE_CONTEXT_PROCESSORS
will be available in every template powered by that settings file, so
try to pick variable names that are unlikely to conflict with variable
names your templates might be using independently. As variable names are
case-sensitive, it’s not a bad idea to use all caps for variables that a
processor provides.
- It doesn’t matter where on the filesystem they live, as long as they’re
on your Python path so you can point to them from the
TEMPLATE_CONTEXT_PROCESSORS setting. With that said, the convention
is to save them in a file called context_processors.py within your
app or project.
Automatic HTML Escaping
When generating HTML from templates, there’s always a risk that a variable will
include characters that affect the resulting HTML. For example, consider this
template fragment:
At first, this seems like a harmless way to display a user’s name, but consider
what would happen if the user entered his name as this:
<script>alert('hello')</script>
With this name value, the template would be rendered as:
Hello, <script>alert('hello')</script>
...which means the browser would pop-up a JavaScript alert box!
Similarly, what if the name contained a '<' symbol, like this?
That would result in a rendered template like this:
...which, in turn, would result in the remainder of the Web page being bolded!
Clearly, user-submitted data shouldn’t be trusted blindly and inserted directly
into your Web pages, because a malicious user could use this kind of hole to
do potentially bad things. This type of security exploit is called a
Cross Site Scripting (XSS) attack. (For more on security, see Chapter 20.)
To avoid this problem, you have two options:
- One, you can make sure to run each untrusted variable through the
escape filter, which converts potentially harmful HTML characters to
unharmful ones. This was the default solution in Django for its first few
years, but the problem is that it puts the onus on you, the developer /
template author, to ensure you’re escaping everything. It’s easy to forget
to escape data.
- Two, you can take advantage of Django’s automatic HTML escaping. The
remainder of this section describes how auto-escaping works.
By default in Django, every template automatically escapes the output
of every variable tag. Specifically, these five characters are
escaped:
- < is converted to <
- > is converted to >
- ' (single quote) is converted to '
- " (double quote) is converted to "
- & is converted to &
Again, we stress that this behavior is on by default. If you’re using Django’s
template system, you’re protected.
How to Turn it Off
If you don’t want data to be auto-escaped, on a per-site, per-template level or
per-variable level, you can turn it off in several ways.
Why would you want to turn it off? Because sometimes, template variables
contain data that you intend to be rendered as raw HTML, in which case you
don’t want their contents to be escaped. For example, you might store a blob of
trusted HTML in your database and want to embed that directly into your
template. Or, you might be using Django’s template system to produce text that
is not HTML – like an e-mail message, for instance.
For Individual Variables
To disable auto-escaping for an individual variable, use the safe filter:
This will be escaped: {{ data }}
This will not be escaped: {{ data|safe }}
Think of safe as shorthand for safe from further escaping or can be
safely interpreted as HTML. In this example, if data contains '<b>',
the output will be:
This will be escaped: <b>
This will not be escaped: <b>
For Template Blocks
To control auto-escaping for a template, wrap the template (or just a
particular section of the template) in the autoescape tag, like so:
{% autoescape off %}
Hello {{ name }}
{% endautoescape %}
The autoescape tag takes either on or off as its argument. At
times, you might want to force auto-escaping when it would otherwise be
disabled. Here is an example template:
Auto-escaping is on by default. Hello {{ name }}
{% autoescape off %}
This will not be auto-escaped: {{ data }}.
Nor this: {{ other_data }}
{% autoescape on %}
Auto-escaping applies again: {{ name }}
{% endautoescape %}
{% endautoescape %}
The auto-escaping tag passes its effect on to templates that extend the
current one as well as templates included via the include tag, just like
all block tags. For example:
# base.html
{% autoescape off %}
<h1>{% block title %}{% endblock %}</h1>
{% block content %}
{% endblock %}
{% endautoescape %}
# child.html
{% extends "base.html" %}
{% block title %}This & that{% endblock %}
{% block content %}{{ greeting }}{% endblock %}
Because auto-escaping is turned off in the base template, it will also be
turned off in the child template, resulting in the following rendered
HTML when the greeting variable contains the string <b>Hello!</b>:
<h1>This & that</h1>
<b>Hello!</b>
Notes
Generally, template authors don’t need to worry about auto-escaping very much.
Developers on the Python side (people writing views and custom filters) need to
think about the cases in which data shouldn’t be escaped, and mark data
appropriately, so things work in the template.
If you’re creating a template that might be used in situations where you’re
not sure whether auto-escaping is enabled, then add an escape filter to any
variable that needs escaping. When auto-escaping is on, there’s no danger of
the escape filter double-escaping data – the escape filter does not
affect auto-escaped variables.
Automatic Escaping of String Literals in Filter Arguments
As we mentioned earlier, filter arguments can be strings:
{{ data|default:"This is a string literal." }}
All string literals are inserted without any automatic escaping into the
template – they act as if they were all passed through the safe filter.
The reasoning behind this is that the template author is in control of what
goes into the string literal, so they can make sure the text is correctly
escaped when the template is written.
This means you would write
{{ data|default:"3 < 2" }}
...rather than
{{ data|default:"3 < 2" }} <-- Bad! Don't do this.
This doesn’t affect what happens to data coming from the variable itself.
The variable’s contents are still automatically escaped, if necessary, because
they’re beyond the control of the template author.
Inside Template Loading
Generally, you’ll store templates in files on your filesystem, but you can use
custom template loaders to load templates from other sources.
Django has two ways to load templates:
- django.template.loader.get_template(template_name): get_template
returns the compiled template (a Template object) for the template
with the given name. If the template doesn’t exist, a
TemplateDoesNotExist exception will be raised.
- django.template.loader.select_template(template_name_list):
select_template is just like get_template, except it takes a list
of template names. Of the list, it returns the first template that exists.
If none of the templates exist, a TemplateDoesNotExist exception will
be raised.
As covered in Chapter 4, each of these functions by default uses your
TEMPLATE_DIRS setting to load templates. Internally, however, these
functions actually delegate to a template loader for the heavy lifting.
Some of loaders are disabled by default, but you can activate them by editing
the TEMPLATE_LOADERS setting. TEMPLATE_LOADERS should be a tuple of
strings, where each string represents a template loader. These template loaders
ship with Django:
django.template.loaders.filesystem.load_template_source: This loader
loads templates from the filesystem, according to TEMPLATE_DIRS. It is
enabled by default.
django.template.loaders.app_directories.load_template_source: This
loader loads templates from Django applications on the filesystem. For
each application in INSTALLED_APPS, the loader looks for a
templates subdirectory. If the directory exists, Django looks for
templates there.
This means you can store templates with your individual applications,
making it easy to distribute Django applications with default templates.
For example, if INSTALLED_APPS contains ('myproject.polls',
'myproject.music'), then get_template('foo.html') will look for
templates in this order:
- /path/to/myproject/polls/templates/foo.html
- /path/to/myproject/music/templates/foo.html
Note that the loader performs an optimization when it is first imported:
it caches a list of which INSTALLED_APPS packages have a templates
subdirectory.
This loader is enabled by default.
django.template.loaders.eggs.load_template_source: This loader is just
like app_directories, except it loads templates from Python eggs
rather than from the filesystem. This loader is disabled by default;
you’ll need to enable it if you’re using eggs to distribute your
application. (Python eggs are a way of compressing Python code into a
single file.)
Django uses the template loaders in order according to the TEMPLATE_LOADERS
setting. It uses each loader until a loader finds a match.
Extending the Template System
Now that you understand a bit more about the internals of the template system,
let’s look at how to extend the system with custom code.
Most template customization comes in the form of custom template tags and/or
filters. Although the Django template language comes with many built-in tags and
filters, you’ll probably assemble your own libraries of tags and filters that
fit your own needs. Fortunately, it’s quite easy to define your own
functionality.
Creating a Template Library
Whether you’re writing custom tags or filters, the first thing to do is to
create a template library – a small bit of infrastructure Django can hook
into.
Creating a template library is a two-step process:
First, decide which Django application should house the template library.
If you’ve created an app via manage.py startapp, you can put it in
there, or you can create another app solely for the template library.
We’d recommend the latter, because your filters might be useful to you
in future projects.
Whichever route you take, make sure to add the app to your
INSTALLED_APPS setting. We’ll explain this shortly.
Second, create a templatetags directory in the appropriate Django
application’s package. It should be on the same level as models.py,
views.py, and so forth. For example:
books/
__init__.py
models.py
templatetags/
views.py
Create two empty files in the templatetags directory: an __init__.py
file (to indicate to Python that this is a package containing Python code)
and a file that will contain your custom tag/filter definitions. The name
of the latter file is what you’ll use to load the tags later. For example,
if your custom tags/filters are in a file called poll_extras.py, you’d
write the following in a template:
The {% load %} tag looks at your INSTALLED_APPS setting and only
allows the loading of template libraries within installed Django
applications. This is a security feature; it allows you to host Python
code for many template libraries on a single computer without enabling
access to all of them for every Django installation.
If you write a template library that isn’t tied to any particular models/views,
it’s valid and quite normal to have a Django application package that contains
only a templatetags package. There’s no limit on how many modules you put in
the templatetags package. Just keep in mind that a {% load %} statement
will load tags/filters for the given Python module name, not the name of the
application.
Once you’ve created that Python module, you’ll just have to write a bit of
Python code, depending on whether you’re writing filters or tags.
To be a valid tag library, the module must contain a module-level variable named
register that is an instance of template.Library. This is the data
structure in which all the tags and filters are registered. So, near the top of
your module, insert the following:
from django import template
register = template.Library()
Note
For a fine selection of examples, read the source code for Django’s default
filters and tags. They’re in django/template/defaultfilters.py and
django/template/defaulttags.py, respectively. Some applications in
django.contrib also contain template libraries.
Once you’ve created this register variable, you’ll use it to create template
filters and tags.
Writing Custom Template Filters
Custom filters are just Python functions that take one or two arguments:
- The value of the variable (input)
- The value of the argument, which can have a default value or be left out
altogether
For example, in the filter {{ var|foo:"bar" }}, the filter foo would be
passed the contents of the variable var and the argument "bar".
Filter functions should always return something. They shouldn’t raise
exceptions, and they should fail silently. If there’s an error, they should
return either the original input or an empty string, whichever makes more sense.
Here’s an example filter definition:
def cut(value, arg):
"Removes all values of arg from the given string"
return value.replace(arg, '')
And here’s an example of how that filter would be used to cut spaces from a
variable’s value:
{{ somevariable|cut:" " }}
Most filters don’t take arguments. In this case, just leave the argument out
of your function:
def lower(value): # Only one argument.
"Converts a string into all lowercase"
return value.lower()
When you’ve written your filter definition, you need to register it with your
Library instance, to make it available to Django’s template language:
register.filter('cut', cut)
register.filter('lower', lower)
The Library.filter() method takes two arguments:
- The name of the filter (a string)
- The filter function itself
If you’re using Python 2.4 or above, you can use register.filter() as a
decorator instead:
@register.filter(name='cut')
def cut(value, arg):
return value.replace(arg, '')
@register.filter
def lower(value):
return value.lower()
If you leave off the name argument, as in the second example, Django
will use the function’s name as the filter name.
Here, then, is a complete template library example, supplying the cut filter:
from django import template
register = template.Library()
@register.filter(name='cut')
def cut(value, arg):
return value.replace(arg, '')
Writing the Compilation Function
For each template tag the parser encounters, it calls a Python function with
the tag contents and the parser object itself. This function is responsible for
returning a Node instance based on the contents of the tag.
For example, let’s write a template tag, {% current_time %}, that displays
the current date/time, formatted according to a parameter given in the tag, in
strftime syntax (see http://www.djangoproject.com/r/python/strftime/).
It’s a good idea to decide the tag syntax before anything else. In our case,
let’s say the tag should be used like this:
<p>The time is {% current_time "%Y-%m-%d %I:%M %p" %}.</p>
Note
Yes, this template tag is redundant–Django’s default {% now %} tag does
the same task with simpler syntax. This template tag is presented here just
for example purposes.
The parser for this function should grab the parameter and create a Node
object:
from django import template
register = template.Library()
def do_current_time(parser, token):
try:
# split_contents() knows not to split quoted strings.
tag_name, format_string = token.split_contents()
except ValueError:
msg = '%r tag requires a single argument' % token.split_contents()[0]
raise template.TemplateSyntaxError(msg)
return CurrentTimeNode(format_string[1:-1])
There’s a lot going here:
- Each template tag compilation function takes two arguments, parser
and token. parser is the template parser object. We don’t use it
in this example. token is the token currently being parsed by the
parser.
- token.contents is a string of the raw contents of the tag. In our
example, it’s 'current_time "%Y-%m-%d %I:%M %p"'.
- The token.split_contents() method separates the arguments on spaces
while keeping quoted strings together. Avoid using
token.contents.split() (which just uses Python’s standard
string-splitting semantics). It’s not as robust, as it naively splits on
all spaces, including those within quoted strings.
- This function is responsible for raising
django.template.TemplateSyntaxError, with helpful messages, for any
syntax error.
- Don’t hard-code the tag’s name in your error messages, because that
couples the tag’s name to your function. token.split_contents()[0]
will always be the name of your tag – even when the tag has no
arguments.
- The function returns a CurrentTimeNode (which we’ll create shortly)
containing everything the node needs to know about this tag. In this
case, it just passes the argument "%Y-%m-%d %I:%M %p". The
leading and trailing quotes from the template tag are removed with
format_string[1:-1].
- Template tag compilation functions must return a Node subclass;
any other return value is an error.
Writing the Template Node
The second step in writing custom tags is to define a Node subclass that
has a render() method. Continuing the preceding example, we need to define
CurrentTimeNode:
import datetime
class CurrentTimeNode(template.Node):
def __init__(self, format_string):
self.format_string = str(format_string)
def render(self, context):
now = datetime.datetime.now()
return now.strftime(self.format_string)
These two functions (__init__() and render()) map directly to the two
steps in template processing (compilation and rendering). Thus, the
initialization function only needs to store the format string for later use,
and the render() function does the real work.
Like template filters, these rendering functions should fail silently instead
of raising errors. The only time that template tags are allowed to raise
errors is at compilation time.
Registering the Tag
Finally, you need to register the tag with your module’s Library instance.
Registering custom tags is very similar to registering custom filters (as
explained above). Just instantiate a template.Library instance and call
its tag() method. For example:
register.tag('current_time', do_current_time)
The tag() method takes two arguments:
- The name of the template tag (string).
- The compilation function.
As with filter registration, it is also possible to use register.tag as a
decorator in Python 2.4 and above:
@register.tag(name="current_time")
def do_current_time(parser, token):
# ...
@register.tag
def shout(parser, token):
# ...
If you leave off the name argument, as in the second example, Django
will use the function’s name as the tag name.
Setting a Variable in the Context
The previous section’s example simply returned a value. Often it’s useful to set
template variables instead of returning values. That way, template authors can
just use the variables that your template tags set.
To set a variable in the context, use dictionary assignment on the context
object in the render() method. Here’s an updated version of
CurrentTimeNode that sets a template variable, current_time, instead of
returning it:
class CurrentTimeNode2(template.Node):
def __init__(self, format_string):
self.format_string = str(format_string)
def render(self, context):
now = datetime.datetime.now()
context['current_time'] = now.strftime(self.format_string)
return ''
(We’ll leave the creation of a do_current_time2 function, plus the
registration of that function to a current_time2 template tag, as exercises
for the reader.)
Note that render() returns an empty string. render() should always
return a string, so if all the template tag does is set a variable,
render() should return an empty string.
Here’s how you’d use this new version of the tag:
{% current_time2 "%Y-%M-%d %I:%M %p" %}
<p>The time is {{ current_time }}.</p>
But there’s a problem with CurrentTimeNode2: the variable name
current_time is hard-coded. This means you’ll need to make sure your
template doesn’t use {{ current_time }} anywhere else, because
{% current_time2 %} will blindly overwrite that variable’s value.
A cleaner solution is to make the template tag specify the name of the variable
to be set, like so:
{% get_current_time "%Y-%M-%d %I:%M %p" as my_current_time %}
<p>The current time is {{ my_current_time }}.</p>
To do so, you’ll need to refactor both the compilation function and the
Node class, as follows:
import re
class CurrentTimeNode3(template.Node):
def __init__(self, format_string, var_name):
self.format_string = str(format_string)
self.var_name = var_name
def render(self, context):
now = datetime.datetime.now()
context[self.var_name] = now.strftime(self.format_string)
return ''
def do_current_time(parser, token):
# This version uses a regular expression to parse tag contents.
try:
# Splitting by None == splitting by spaces.
tag_name, arg = token.contents.split(None, 1)
except ValueError:
msg = '%r tag requires arguments' % token.contents[0]
raise template.TemplateSyntaxError(msg)
m = re.search(r'(.*?) as (\w+)', arg)
if m:
fmt, var_name = m.groups()
else:
msg = '%r tag had invalid arguments' % tag_name
raise template.TemplateSyntaxError(msg)
if not (fmt[0] == fmt[-1] and fmt[0] in ('"', "'")):
msg = "%r tag's argument should be in quotes" % tag_name
raise template.TemplateSyntaxError(msg)
return CurrentTimeNode3(fmt[1:-1], var_name)
Now do_current_time() passes the format string and the variable name to
CurrentTimeNode3.
Parsing Until Another Template Tag
Template tags can work as blocks containing other tags (like {% if %},
{% for %}, etc.). To create a template tag like this, use
parser.parse() in your compilation function.
Here’s how the standard {% comment %} tag is implemented:
def do_comment(parser, token):
nodelist = parser.parse(('endcomment',))
parser.delete_first_token()
return CommentNode()
class CommentNode(template.Node):
def render(self, context):
return ''
parser.parse() takes a tuple of names of template tags to parse until. It
returns an instance of django.template.NodeList, which is a list of all
Node objects that the parser encountered before it encountered any of
the tags named in the tuple.
So in the preceding example, nodelist is a list of all nodes between
{% comment %} and {% endcomment %}, not counting {% comment %} and
{% endcomment %} themselves.
After parser.parse() is called, the parser hasn’t yet “consumed” the {%
endcomment %} tag, so the code needs to explicitly call
parser.delete_first_token() to prevent that tag from being processed
twice.
Then CommentNode.render() simply returns an empty string. Anything
between {% comment %} and {% endcomment %} is ignored.
Parsing Until Another Template Tag and Saving Contents
In the previous example, do_comment() discarded everything between
{% comment %} and {% endcomment %}. It’s also
possible to do something with the code between template tags instead.
For example, here’s a custom template tag, {% upper %}, that capitalizes
everything between itself and {% endupper %}:
{% upper %}
This will appear in uppercase, {{ user_name }}.
{% endupper %}
As in the previous example, we’ll use parser.parse(). This time, we
pass the resulting nodelist to Node:
def do_upper(parser, token):
nodelist = parser.parse(('endupper',))
parser.delete_first_token()
return UpperNode(nodelist)
class UpperNode(template.Node):
def __init__(self, nodelist):
self.nodelist = nodelist
def render(self, context):
output = self.nodelist.render(context)
return output.upper()
The only new concept here is self.nodelist.render(context) in
UpperNode.render(). This simply calls render() on each Node in the
node list.
For more examples of complex rendering, see the source code for {% if %},
{% for %}, {% ifequal %}, and {% ifchanged %}. They live in
django/template/defaulttags.py.
Inclusion Tags
Another common template tag is the type that displays some data by
rendering another template. For example, Django’s admin interface uses
custom template tags to display the buttons along the bottom of the
“add/change” form pages. Those buttons always look the same, but the link
targets change depending on the object being edited. They’re a perfect case
for using a small template that is filled with details from the current object.
These sorts of tags are called inclusion tags. Writing inclusion tags is
probably best demonstrated by example. Let’s write a tag that produces a list
of books for a given Author object. We’ll use the tag like this:
{% books_for_author author %}
The result will be something like this:
<ul>
<li>The Cat In The Hat</li>
<li>Hop On Pop</li>
<li>Green Eggs And Ham</li>
</ul>
First, we define the function that takes the argument and produces a
dictionary of data for the result. Notice that we need to return only a
dictionary, not anything more complex. This will be used as the context for
the template fragment:
def books_for_author(author):
books = Book.objects.filter(authors__id=author.id)
return {'books': books}
Next, we create the template used to render the tag’s output. Following our
example, the template is very simple:
<ul>
{% for book in books %}
<li>{{ book.title }}</li>
{% endfor %}
</ul>
Finally, we create and register the inclusion tag by calling the
inclusion_tag() method on a Library object.
Following our example, if the preceding template is in a file called
book_snippet.html, we register the tag like this:
register.inclusion_tag('book_snippet.html')(books_for_author)
Python 2.4 decorator syntax works as well, so we could have written this,
instead:
@register.inclusion_tag('book_snippet.html')
def books_for_author(author):
# ...
Sometimes, your inclusion tags need access to values from the parent template’s
context. To solve this, Django provides a takes_context option for
inclusion tags. If you specify takes_context in creating an inclusion tag,
the tag will have no required arguments, and the underlying Python function
will have one argument: the template context as of when the tag was called.
For example, say you’re writing an inclusion tag that will always be used in a
context that contains home_link and home_title variables that point
back to the main page. Here’s what the Python function would look like:
@register.inclusion_tag('link.html', takes_context=True)
def jump_link(context):
return {
'link': context['home_link'],
'title': context['home_title'],
}
(Note that the first parameter to the function must be called context.)
The template link.html might contain the following:
Jump directly to <a href="{{ link }}">{{ title }}</a>.
Then, anytime you want to use that custom tag, load its library and call it
without any arguments, like so:
Writing Custom Template Loaders
Django’s built-in template loaders (described in the “Inside Template Loading”
section above) will usually cover all your template-loading needs, but it’s
pretty easy to write your own if you need special loading logic. For example,
you could load templates from a database, or directly from a Subversion
repository using Subversion’s Python bindings, or (as shown shortly) from a ZIP
archive.
A template loader – that is, each entry in the TEMPLATE_LOADERS setting
– is expected to be a callable object with this interface:
load_template_source(template_name, template_dirs=None)
The template_name argument is the name of the template to load (as passed
to loader.get_template() or loader.select_template()), and
template_dirs is an optional list of directories to search instead of
TEMPLATE_DIRS.
If a loader is able to successfully load a template, it should return a tuple:
(template_source, template_path). Here, template_source is the
template string that will be compiled by the template engine, and
template_path is the path the template was loaded from. That path might be
shown to the user for debugging purposes, so it should quickly identify where
the template was loaded from.
If the loader is unable to load a template, it should raise
django.template.TemplateDoesNotExist.
Each loader function should also have an is_usable function attribute.
This is a Boolean that informs the template engine whether this loader
is available in the current Python installation. For example, the eggs loader
(which is capable of loading templates from Python eggs) sets is_usable
to False if the pkg_resources module isn’t installed, because
pkg_resources is necessary to read data from eggs.
An example should help clarify all of this. Here’s a template loader function
that can load templates from a ZIP file. It uses a custom setting,
TEMPLATE_ZIP_FILES, as a search path instead of TEMPLATE_DIRS, and it
expects each item on that path to be a ZIP file containing templates:
from django.conf import settings
from django.template import TemplateDoesNotExist
import zipfile
def load_template_source(template_name, template_dirs=None):
"Template loader that loads templates from a ZIP file."
template_zipfiles = getattr(settings, "TEMPLATE_ZIP_FILES", [])
# Try each ZIP file in TEMPLATE_ZIP_FILES.
for fname in template_zipfiles:
try:
z = zipfile.ZipFile(fname)
source = z.read(template_name)
except (IOError, KeyError):
continue
z.close()
# We found a template, so return the source.
template_path = "%s:%s" % (fname, template_name)
return (source, template_path)
# If we reach here, the template couldn't be loaded
raise TemplateDoesNotExist(template_name)
# This loader is always usable (since zipfile is included with Python)
load_template_source.is_usable = True
The only step left if we want to use this loader is to add it to the
TEMPLATE_LOADERS setting. If we put this code in a package called
mysite.zip_loader, then we add
mysite.zip_loader.load_template_source to TEMPLATE_LOADERS.
Configuring the Template System in Standalone Mode
Note
This section is only of interest to people trying to use the template
system as an output component in another application. If you are using the
template system as part of a Django application, the information presented
here doesn’t apply to you.
Normally, Django loads all the configuration information it needs from its own
default configuration file, combined with the settings in the module given
in the DJANGO_SETTINGS_MODULE environment variable. (This was explained in
“A special Python prompt” in Chapter 4.) But if you’re using the template
system independently of the rest of Django, the environment variable approach
isn’t very convenient, because you probably want to configure the template
system in line with the rest of your application rather than dealing with
settings files and pointing to them via environment variables.
To solve this problem, you need to use the manual configuration option described
fully in Appendix D. In a nutshell, you need to import the appropriate pieces of
the template system and then, before you call any of the template functions,
call django.conf.settings.configure() with any settings you wish to specify.
You might want to consider setting at least TEMPLATE_DIRS (if you are
going to use template loaders), DEFAULT_CHARSET (although the default of
utf-8 is probably fine) and TEMPLATE_DEBUG. All available settings are
described in Appendix D, and any setting starting with TEMPLATE_ is of
obvious interest.
What’s Next
Continuing this section’s theme of advanced topics, the next chapter covers
advanced usage of Django models.
Chapter 10: Advanced Models
In Chapter 5, we presented an introduction to Django’s database layer –
how to define models and how to use the database API to create, retrieve,
update and delete records. In this chapter, we’ll introduce you to some more
advanced features of this part of Django.
Making Changes to a Database Schema
When we introduced the syncdb command in Chapter 5, we noted that
syncdb merely creates tables that don’t yet exist in your database –
it does not sync changes in models or perform deletions of models. If you
add or change a model’s field, or if you delete a model, you’ll need to make
the change in your database manually. This section explains how to do that.
When dealing with schema changes, it’s important to keep a few things in mind
about how Django’s database layer works:
- Django will complain loudly if a model contains a field that has not yet
been created in the database table. This will cause an error the first
time you use the Django database API to query the given table (i.e., it
will happen at code execution time, not at compilation time).
- Django does not care if a database table contains columns that are not
defined in the model.
- Django does not care if a database contains a table that is not
represented by a model.
Making schema changes is a matter of changing the various pieces – the Python
code and the database itself – in the right order.
Adding Fields
When adding a field to a table/model in a production setting, the trick is to
take advantage of the fact that Django doesn’t care if a table contains columns
that aren’t defined in the model. The strategy is to add the column in the
database, and then update the Django model to include the new field.
However, there’s a bit of a chicken-and-egg problem here, because in order to
know how the new database column should be expressed in SQL, you need to look
at the output of Django’s manage.py sqlall command, which requires that the
field exist in the model. (Note that you’re not required to create your
column with exactly the same SQL that Django would, but it’s a good idea to do
so, just to be sure everything’s in sync.)
The solution to the chicken-and-egg problem is to use a development environment
instead of making the changes on a production server. (You are using a
testing/development environment, right?) Here are the detailed steps to take.
First, take these steps in the development environment (i.e., not on the production server):
- Add the field to your model.
- Run manage.py sqlall [yourapp] to see the new CREATE TABLE
statement for the model. Note the column definition for the new field.
- Start your database’s interactive shell (e.g., psql or mysql, or
you can use manage.py dbshell). Execute an ALTER TABLE statement
that adds your new column.
- Launch the Python interactive shell with manage.py shell
and verify that the new field was added properly by importing the model
and selecting from the table (e.g., MyModel.objects.all()[:5]).
If you updated the database correctly, the statement should work without
errors.
Then on the production server perform these steps:
- Start your database’s interactive shell.
- Execute the ALTER TABLE statement you used in step 3 of the
development environment steps.
- Add the field to your model. If you’re using source-code revision
control and you checked in your change in development environment step
1, now is the time to update the code (e.g., svn update, with
Subversion) on the production server.
- Restart the Web server for the code changes to take effect.
For example, let’s walk through what we’d do if we added a num_pages field
to the Book model from Chapter 5. First, we’d alter the
model in our development environment to look like this:
class Book(models.Model):
title = models.CharField(max_length=100)
authors = models.ManyToManyField(Author)
publisher = models.ForeignKey(Publisher)
publication_date = models.DateField()
num_pages = models.IntegerField(blank=True, null=True)
def __unicode__(self):
return self.title
(Note: Read the section “Making Fields Optional” in Chapter 6, plus the
sidebar “Adding NOT NULL Columns” below for important details on why we
included blank=True and null=True.)
Then we’d run the command manage.py sqlall books to see the
CREATE TABLE statement. Depending on your database backend, it would
look something like this:
CREATE TABLE "books_book" (
"id" serial NOT NULL PRIMARY KEY,
"title" varchar(100) NOT NULL,
"publisher_id" integer NOT NULL REFERENCES "books_publisher" ("id"),
"publication_date" date NOT NULL,
"num_pages" integer NULL
);
The new column is represented like this:
Next, we’d start the database’s interactive shell for our development database
by typing psql (for PostgreSQL), and we’d execute the following statements:
ALTER TABLE books_book ADD COLUMN num_pages integer;
Adding NOT NULL Columns
There’s a subtlety here that deserves mention. When we added the
num_pages field to our model, we included the blank=True and
null=True options. We did this because a database column will contain
NULL values when you first create it.
However, it’s also possible to add columns that cannot contain NULL values.
To do this, you have to create the column as NULL, then populate the
column’s values using some default(s), and then alter the column to set the
NOT NULL modifier. For example:
BEGIN;
ALTER TABLE books_book ADD COLUMN num_pages integer;
UPDATE books_book SET num_pages=0;
ALTER TABLE books_book ALTER COLUMN num_pages SET NOT NULL;
COMMIT;
If you go down this path, remember that you should leave off
blank=True and null=True in your model (obviously).
After the ALTER TABLE statement, we’d verify that the change worked
properly by starting the Python shell and running this code:
>>> from mysite.books.models import Book
>>> Book.objects.all()[:5]
If that code didn’t cause errors, we’d switch to our production server and
execute the ALTER TABLE statement on the production database. Then, we’d
update the model in the production environment and restart the Web server.
Removing Fields
Removing a field from a model is a lot easier than adding one. To remove a
field, just follow these steps:
Remove the field from your model and restart the Web server.
Remove the column from your database, using a command like this:
ALTER TABLE books_book DROP COLUMN num_pages;
Make sure to do it in this order. If you remove the column from your database
first, Django will immediately begin raising errors.
Removing Many-to-Many Fields
Because many-to-many fields are different than normal fields, the removal
process is different:
Remove the ManyToManyField from your model and restart the Web
server.
Remove the many-to-many table from your database, using a command like
this:
DROP TABLE books_book_authors;
As in the previous section, make sure to do it in this order.
Removing Models
Removing a model entirely is as easy as removing a field. To remove a model,
just follow these steps:
Remove the model from your models.py file and restart the Web server.
Remove the table from your database, using a command like this:
Note that you might need to remove any dependent tables from your
database first – e.g., any tables that have foreign keys to
books_book.
As in the previous sections, make sure to do it in this order.
Managers
In the statement Book.objects.all(), objects is a special attribute
through which you query your database. In Chapter 5, we briefly identified this
as the model’s manager. Now it’s time to dive a bit deeper into what managers
are and how you can use them.
In short, a model’s manager is an object through which Django models perform
database queries. Each Django model has at least one manager, and you can
create custom managers in order to customize database access.
There are two reasons you might want to create a custom manager: to add extra
manager methods, and/or to modify the initial QuerySet the manager
returns.
Modifying Initial Manager QuerySets
A manager’s base QuerySet returns all objects in the system. For
example, Book.objects.all() returns all books in the book database.
You can override a manager’s base QuerySet by overriding the
Manager.get_query_set() method. get_query_set() should return a
QuerySet with the properties you require.
For example, the following model has two managers – one that returns
all objects, and one that returns only the books by Roald Dahl.
from django.db import models
# First, define the Manager subclass.
class DahlBookManager(models.Manager):
def get_query_set(self):
return super(DahlBookManager, self).get_query_set().filter(author='Roald Dahl')
# Then hook it into the Book model explicitly.
class Book(models.Model):
title = models.CharField(max_length=100)
author = models.CharField(max_length=50)
# ...
objects = models.Manager() # The default manager.
dahl_objects = DahlBookManager() # The Dahl-specific manager.
With this sample model, Book.objects.all() will return all books in the
database, but Book.dahl_objects.all() will only return the ones written by
Roald Dahl. Note that we explicitly set objects to a vanilla Manager
instance, because if we hadn’t, the only available manager would be
dahl_objects.
Of course, because get_query_set() returns a QuerySet object, you can
use filter(), exclude() and all the other QuerySet methods on it.
So these statements are all legal:
Book.dahl_objects.all()
Book.dahl_objects.filter(title='Matilda')
Book.dahl_objects.count()
This example also pointed out another interesting technique: using multiple
managers on the same model. You can attach as many Manager() instances to
a model as you’d like. This is an easy way to define common “filters” for your
models.
For example:
class MaleManager(models.Manager):
def get_query_set(self):
return super(MaleManager, self).get_query_set().filter(sex='M')
class FemaleManager(models.Manager):
def get_query_set(self):
return super(FemaleManager, self).get_query_set().filter(sex='F')
class Person(models.Model):
first_name = models.CharField(max_length=50)
last_name = models.CharField(max_length=50)
sex = models.CharField(max_length=1, choices=(('M', 'Male'), ('F', 'Female')))
people = models.Manager()
men = MaleManager()
women = FemaleManager()
This example allows you to request Person.men.all(), Person.women.all(),
and Person.people.all(), yielding predictable results.
If you use custom Manager objects, take note that the first
Manager Django encounters (in the order in which they’re defined
in the model) has a special status. Django interprets this first
Manager defined in a class as the “default” Manager, and
several parts of Django (though not the admin application) will use
that Manager exclusively for that model. As a result, it’s often a
good idea to be careful in your choice of default manager, in order to
avoid a situation where overriding of get_query_set() results in
an inability to retrieve objects you’d like to work with.
Model methods
Define custom methods on a model to add custom “row-level” functionality to your
objects. Whereas managers are intended to do “table-wide” things, model methods
should act on a particular model instance.
This is a valuable technique for keeping business logic in one place – the
model.
An example is the easiest way to explain this. Here’s a model with a few custom
methods:
from django.contrib.localflavor.us.models import USStateField
from django.db import models
class Person(models.Model):
first_name = models.CharField(max_length=50)
last_name = models.CharField(max_length=50)
birth_date = models.DateField()
address = models.CharField(max_length=100)
city = models.CharField(max_length=50)
state = USStateField() # Yes, this is U.S.-centric...
def baby_boomer_status(self):
"Returns the person's baby-boomer status."
import datetime
if datetime.date(1945, 8, 1) <= self.birth_date <= datetime.date(1964, 12, 31):
return "Baby boomer"
if self.birth_date < datetime.date(1945, 8, 1):
return "Pre-boomer"
return "Post-boomer"
def is_midwestern(self):
"Returns True if this person is from the Midwest."
return self.state in ('IL', 'WI', 'MI', 'IN', 'OH', 'IA', 'MO')
def _get_full_name(self):
"Returns the person's full name."
return u'%s %s' % (self.first_name, self.last_name)
full_name = property(_get_full_name)
The last method in this example is a “property.” Read more about properties
at http://www.python.org/download/releases/2.2/descrintro/#property
And here’s example usage:
>>> p = Person.objects.get(first_name='Barack', last_name='Obama')
>>> p.birth_date
datetime.date(1961, 8, 4)
>>> p.baby_boomer_status()
'Baby boomer'
>>> p.is_midwestern()
True
>>> p.full_name # Note this isn't a method -- it's treated as an attribute
u'Barack Obama'
Executing Raw SQL Queries
Sometimes you’ll find that the Django database API can only take you so far,
and you’ll want to write custom SQL queries against your database. You can do
this very easily by accessing the object django.db.connection, which
represents the current database connection. To use it, call
connection.cursor() to get a cursor object. Then, call
cursor.execute(sql, [params]) to execute the SQL and
cursor.fetchone() or cursor.fetchall() to return the resulting
rows. For example:
>>> from django.db import connection
>>> cursor = connection.cursor()
>>> cursor.execute("""
... SELECT DISTINCT first_name
... FROM people_person
... WHERE last_name = %s""", ['Lennon'])
>>> row = cursor.fetchone()
>>> print row
['John']
connection and cursor mostly implement the standard Python “DB-API,”
which you can read about at http://www.python.org/peps/pep-0249.html. If you’re
not familiar with the Python DB-API, note that the SQL statement in
cursor.execute() uses placeholders, "%s", rather than adding parameters
directly within the SQL. If you use this technique, the underlying database
library will automatically add quotes and escaping to your parameter(s) as
necessary.
Rather than littering your view code with these django.db.connection
statements, it’s a good idea to put them in custom model methods or manager
methods. For example, the above example could be integrated into a custom
manager method like this:
from django.db import connection, models
class PersonManager(models.Manager):
def first_names(self, last_name):
cursor = connection.cursor()
cursor.execute("""
SELECT DISTINCT first_name
FROM people_person
WHERE last_name = %s""", [last_name])
return [row[0] for row in cursor.fetchone()]
class Person(models.Model):
first_name = models.CharField(max_length=50)
last_name = models.CharField(max_length=50)
objects = PersonManager()
And sample usage:
>>> Person.objects.first_names('Lennon')
['John', 'Cynthia']
What’s Next?
In the next chapter, we’ll show you Django’s “generic views” framework, which
lets you save time in building Web sites that follow common patterns.
Chapter 11: Generic Views
Here again is a recurring theme of this book: at its worst, Web development is
boring and monotonous. So far, we’ve covered how Django tries to take away
some of that monotony at the model and template layers, but Web developers
also experience this boredom at the view level.
Django’s generic views were developed to ease that pain. They take certain
common idioms and patterns found in view development and abstract them so that
you can quickly write common views of data without having to write too much
code. In fact, nearly every view example in the preceding chapters could be
rewritten with the help of generic views.
Chapter 8 touched briefly on how you’d go about making a view “generic.” To
review, we can recognize certain common tasks, like displaying a list of
objects, and write code that displays a list of any object. Then the model in
question can be passed as an extra argument to the URLconf.
Django ships with generic views to do the following:
- Perform common “simple” tasks: redirect to a different page, or
render a given template.
- Display “list” and “detail” pages for a single object. The event_list
and entry_list views from Chapter 8 are examples of list views. A
single event page is an example of what we call a “detail” view.
- Present date-based objects in year/month/day archive pages,
associated detail, and “latest” pages. The Django Weblog’s
(http://www.djangoproject.com/weblog/) year, month, and
day archives are built with these, as would be a typical
newspaper’s archives.
Taken together, these views provide easy interfaces to perform the most common
tasks developers encounter.
Using Generic Views
All of these views are used by creating configuration dictionaries in
your URLconf files and passing those dictionaries as the third member of the
URLconf tuple for a given pattern. (See “Passing Extra Options to View
Functions” in Chapter 8 for an overview of this technique.)
For example, here’s a simple URLconf you could use to present a static “about”
page:
from django.conf.urls.defaults import *
from django.views.generic.simple import direct_to_template
urlpatterns = patterns('',
(r'^about/$', direct_to_template, {
'template': 'about.html'
})
)
Though this might seem a bit “magical” at first glance – look, a view with no
code! –, it’s actually exactly the same as the examples in Chapter 8: the
direct_to_template view simply grabs information from the extra-parameters
dictionary and uses that information when rendering the view.
Because this generic view – and all the others – is a regular view function
like any other, we can reuse it inside our own views. As an example, let’s
extend our “about” example to map URLs of the form /about/<whatever>/ to
statically rendered about/<whatever>.html. We’ll do this by first modifying
the URLconf to point to a view function:
from django.conf.urls.defaults import *
from django.views.generic.simple import direct_to_template
from mysite.books.views import about_pages
urlpatterns = patterns('',
(r'^about/$', direct_to_template, {
'template': 'about.html'
}),
(r'^about/(\w+)/$', about_pages),
)
Next, we’ll write the about_pages view:
from django.http import Http404
from django.template import TemplateDoesNotExist
from django.views.generic.simple import direct_to_template
def about_pages(request, page):
try:
return direct_to_template(request, template="about/%s.html" % page)
except TemplateDoesNotExist:
raise Http404()
Here we’re treating direct_to_template like any other function. Since it
returns an HttpResponse, we can simply return it as-is. The only slightly
tricky business here is dealing with missing templates. We don’t want a
nonexistent template to cause a server error, so we catch
TemplateDoesNotExist exceptions and return 404 errors instead.
Is There a Security Vulnerability Here?
Sharp-eyed readers may have noticed a possible security hole: we’re
constructing the template name using interpolated content from the browser
(template="about/%s.html" % page). At first glance, this looks like a
classic directory traversal vulnerability (discussed in detail in Chapter
20). But is it really?
Not exactly. Yes, a maliciously crafted value of page could cause
directory traversal, but although page is taken from the request URL,
not every value will be accepted. The key is in the URLconf: we’re using
the regular expression \w+ to match the page part of the URL, and
\w only accepts letters and numbers. Thus, any malicious characters
(such as dots and slashes) will be rejected by the URL resolver before they
reach the view itself.
Generic Views of Objects
The direct_to_template view certainly is useful, but Django’s generic views
really shine when it comes to presenting views on your database content. Because
it’s such a common task, Django comes with a handful of built-in generic views
that make generating list and detail views of objects incredibly easy.
Let’s take a look at one of these generic views: the “object list” view. We’ll
be using this Publisher object from Chapter 5:
class Publisher(models.Model):
name = models.CharField(max_length=30)
address = models.CharField(max_length=50)
city = models.CharField(max_length=60)
state_province = models.CharField(max_length=30)
country = models.CharField(max_length=50)
website = models.URLField()
def __unicode__(self):
return self.name
class Meta:
ordering = ['name']
To build a list page of all publishers, we’d use a URLconf along these lines:
from django.conf.urls.defaults import *
from django.views.generic import list_detail
from mysite.books.models import Publisher
publisher_info = {
'queryset': Publisher.objects.all(),
}
urlpatterns = patterns('',
(r'^publishers/$', list_detail.object_list, publisher_info)
)
That’s all the Python code we need to write. We still need to write a template,
however. We can explicitly tell the object_list view which template to use
by including a template_name key in the extra arguments dictionary:
from django.conf.urls.defaults import *
from django.views.generic import list_detail
from mysite.books.models import Publisher
publisher_info = {
'queryset': Publisher.objects.all(),
'template_name': 'publisher_list_page.html',
}
urlpatterns = patterns('',
(r'^publishers/$', list_detail.object_list, publisher_info)
)
In the absence of template_name, though, the object_list generic view
will infer one from the object’s name. In this case, the inferred template will
be "books/publisher_list.html" – the “books” part comes from the name of
the app that defines the model, while the “publisher” bit is just the
lowercased version of the model’s name.
This template will be rendered against a context containing a variable called
object_list that contains all the publisher objects. A very simple template
might look like the following:
{% extends "base.html" %}
{% block content %}
<h2>Publishers</h2>
<ul>
{% for publisher in object_list %}
<li>{{ publisher.name }}</li>
{% endfor %}
</ul>
{% endblock %}
(Note that this assumes the existence of a base.html template, as we
provided in an example in Chapter 4.)
That’s really all there is to it. All the cool features of generic views come
from changing the “info” dictionary passed to the generic view. Appendix C
documents all the generic views and all their options in detail; the rest of
this chapter will consider some of the common ways you might customize and
extend generic views.
Extending Generic Views
There’s no question that using generic views can speed up development
substantially. In most projects, however, there comes a moment when the
generic views no longer suffice. Indeed, one of the most common questions asked
by new Django developers is how to make generic views handle a wider array of
situations.
Luckily, in nearly every one of these cases, there are ways to simply extend
generic views to handle a larger array of use cases. These situations usually
fall into a handful of patterns dealt with in the sections that follow.
Making “Friendly” Template Contexts
You might have noticed that sample publisher list template stores all the books
in a variable named object_list. While this works just fine, it isn’t all
that “friendly” to template authors: they have to “just know” that they’re
dealing with books here. A better name for that variable would be publisher_list;
that variable’s content is pretty obvious.
We can change the name of that variable easily with the template_object_name
argument:
from django.conf.urls.defaults import *
from django.views.generic import list_detail
from mysite.books.models import Publisher
publisher_info = {
'queryset': Publisher.objects.all(),
'template_name': 'publisher_list_page.html',
'template_object_name': 'publisher',
}
urlpatterns = patterns('',
(r'^publishers/$', list_detail.object_list, publisher_info)
)
In the template, the generic view will append _list to the
template_object_name to create the variable name representing the list
of items.
Providing a useful template_object_name is always a good idea. Your coworkers
who design templates will thank you.
Viewing Subsets of Objects
Now let’s take a closer look at this queryset key we’ve been using all
along. Most generic views take one of these queryset arguments – it’s how the
view knows which set of objects to display (see “Selecting Objects” in Chapter 5
for an introduction to QuerySet objects, and see Appendix B for the complete
details).
To pick a simple example, we might want to order a list of books by
publication date, with the most recent first:
book_info = {
'queryset': Book.objects.order_by('-publication_date'),
}
urlpatterns = patterns('',
(r'^publishers/$', list_detail.object_list, publisher_info),
(r'^books/$', list_detail.object_list, book_info),
)
That’s a pretty simple example, but it illustrates the idea nicely. Of course,
you’ll usually want to do more than just reorder objects. If you want to
present a list of books by a particular publisher, you can use the same
technique:
apress_books = {
'queryset': Book.objects.filter(publisher__name='Apress Publishing'),
'template_name': 'books/apress_list.html'
}
urlpatterns = patterns('',
(r'^publishers/$', list_detail.object_list, publisher_info),
(r'^books/apress/$', list_detail.object_list, apress_books),
)
Notice that along with a filtered queryset, we’re also using a custom
template name. If we didn’t, the generic view would use the same template as the
“vanilla” object list, which might not be what we want.
Also notice that this isn’t a very elegant way of doing publisher-specific
books. If we want to add another publisher page, we’d need another handful of
lines in the URLconf, and more than a few publishers would get unreasonable.
We’ll deal with this problem in the next section.
Complex Filtering with Wrapper Functions
Another common need is to filter the objects given in a list page by some key
in the URL. Earlier we hard-coded the publisher’s name in the URLconf, but what
if we wanted to write a view that displayed all the books by some arbitrary
publisher? The solution is to “wrap” the object_list generic view to avoid
writing a lot of code by hand. As usual, we’ll start by writing a URLconf:
urlpatterns = patterns('',
(r'^publishers/$', list_detail.object_list, publisher_info),
(r'^books/(\w+)/$', books_by_publisher),
)
Next, we’ll write the books_by_publisher view itself:
from django.shortcuts import get_object_or_404
from django.views.generic import list_detail
from mysite.books.models import Book, Publisher
def books_by_publisher(request, name):
# Look up the publisher (and raise a 404 if it can't be found).
publisher = get_object_or_404(Publisher, name__iexact=name)
# Use the object_list view for the heavy lifting.
return list_detail.object_list(
request,
queryset = Book.objects.filter(publisher=publisher),
template_name = 'books/books_by_publisher.html',
template_object_name = 'book',
extra_context = {'publisher': publisher}
)
This works because there’s really nothing special about generic views –
they’re just Python functions. Like any view function, generic views expect a
certain set of arguments and return HttpResponse objects. Thus, it’s
incredibly easy to wrap a small function around a generic view that does
additional work before (or after; see the next section) handing things off to the
generic view.
Note
Notice that in the preceding example we passed the current publisher being
displayed in the extra_context. This is usually a good idea in wrappers
of this nature; it lets the template know which “parent” object is currently
being browsed.
What’s Next?
In this chapter we looked at only a couple of the generic views Django ships
with, but the general ideas presented here should apply pretty closely to any
generic view. Appendix C covers all the available views in detail, and it’s
recommended reading if you want to get the most out of this powerful feature.
This concludes the section of this book devoted to “advanced usage.” In the
next chapter, we cover deployment of Django applications.
Chapter 12: Deploying Django
This chapter covers the last essential step of building a Django application:
deploying it to a production server.
If you’ve been following along with our ongoing examples, you’ve likely been
using the runserver, which makes things very easy – with runserver,
you don’t have to worry about Web server setup. But runserver is intended
only for development on your local machine, not for exposure on the public Web.
To deploy your Django application, you’ll need to hook it into an
industrial-strength Web server such as Apache. In this chapter, we’ll show you
how to do that – but, first, we’ll give you a checklist of things to do in
your codebase before you go live.
Preparing Your Codebase for Production
Fortunately, the runserver approximates a “real” Web server closely enough
that not very many changes need to be made to a Django application in order to
make it production-ready. But there are a few essential things you should do
before you turn the switch.
Turning Off Debug Mode
When we created a project in Chapter 2, the command
django-admin.py startproject created a settings.py file with DEBUG
set to True. Many internal parts of Django check this setting and change
their behavior if DEBUG mode is on. For example, if DEBUG is set to
True, then:
- All database queries will be saved in memory as the object
django.db.connection.queries. As you can imagine, this eats up
memory!
- Any 404 error will be rendered by Django’s special 404 error page
(covered in Chapter 3) rather than returning a proper 404 response. This
page contains potentially sensitive information and should not be
exposed to the public Internet.
- Any uncaught exception in your Django application – from basic Python
syntax errors to database errors to template syntax errors – will be
rendered by the Django pretty error page that you’ve likely come to know
and love. This page contains even more sensitive information than the
404 page and should never be exposed to the public.
In short, setting DEBUG to True tells Django to assume only trusted
developers are using your site. The Internet is full of untrustworthy
hooligans, and the first thing you should do when you’re preparing your
application for deployment is set DEBUG to False.
Turning Off Template Debug Mode
Similarly, you should set TEMPLATE_DEBUG to False in production. If
True, this setting tells Django’s template system to save some extra
information about every template, for use on the pretty error pages.
Implementing a 404 Template
If DEBUG is True, Django displays the useful 404 error page. But if
DEBUG is False, then it does something different: it renders a template
called 404.html in your root template directory. So, when you’re ready to
deploy, you’ll need to create this template and put a useful “Page not found”
message in it.
Here’s a sample 404.html you can use as a starting point. It assumes you’re
using template inheritance and have defined a base.html with blocks called
title and content.
{% extends "base.html" %}
{% block title %}Page not found{% endblock %}
{% block content %}
<h1>Page not found</h1>
<p>Sorry, but the requested page could not be found.</p>
{% endblock %}
To test that your 404.html is working, just change DEBUG to False
and visit a nonexistent URL. (This works on the runserver just as well as
it works on a production server.)
Implementing a 500 Template
Similarly, if DEBUG is False, then Django no longer displays its useful
error/traceback pages in case of an unhandled Python exception. Instead, it
looks for a template called 500.html and renders it. Like 404.html,
this template should live in your root template directory.
There’s one slightly tricky thing about 500.html. You can never be sure
why this template is being rendered, so it shouldn’t do anything that
requires a database connection or relies on any potentially broken part of your
infrastructure. (For example, it should not use custom template tags.) If it
uses template inheritance, then the parent template(s) shouldn’t rely on
potentially broken infrastructure, either. Therefore, the best approach is to
avoid template inheritance and use something very simple. Here’s an example
500.html as a starting point:
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01//EN"
"http://www.w3.org/TR/html4/strict.dtd">
<html lang="en">
<head>
<title>Page unavailable</title>
</head>
<body>
<h1>Page unavailable</h1>
<p>Sorry, but the requested page is unavailable due to a
server hiccup.</p>
<p>Our engineers have been notified, so check back later.</p>
</body>
</html>
Setting Up Error Alerts
When your Django-powered site is running and an exception is raised, you’ll
want to know about it, so you can fix it. By default, Django is configured to
send an e-mail to the site developers whenever your code raises an unhandled
exception – but you need to do two things to set it up.
First, change your ADMINS setting to include your e-mail address, along
with the e-mail addresses of any other people who need to be notified. This
setting takes a tuple of (name, email) tuples, like this:
ADMINS = (
('John Lennon', 'jlennon@example.com'),
('Paul McCartney', 'pmacca@example.com'),
)
Second, make sure your server is configured to send e-mail. Setting up
postfix, sendmail or any other mail server is outside the scope of this
book, but on the Django side of things, you’ll want to make sure your
EMAIL_HOST setting is set to the proper hostname for your mail server.
It’s set to 'localhost' by default, which works out of the box for most
shared-hosting environments. You might also need to set EMAIL_HOST_USER,
EMAIL_HOST_PASSWORD, EMAIL_PORT or EMAIL_USE_TLS, depending on the
complexity of your arrangement.
Also, you can set EMAIL_SUBJECT_PREFIX to control the prefix Django uses
in front of its error e-mails. It’s set to '[Django] ' by default.
Setting Up Broken Link Alerts
If you have the CommonMiddleware installed (e.g., if your
MIDDLEWARE_CLASSES setting includes
'django.middleware.common.CommonMiddleware', which it does by default),
then you have the option of receiving an e-mail any time somebody visits a page
on your Django-powered site that raises 404 with a non-empty referrer – that
is, every broken link. If you want to activate this feature, set
SEND_BROKEN_LINK_EMAILS to True (it’s False by default), and set
your MANAGERS setting to a person or people who will receive these
broken-link e-mails. MANAGERS uses the same syntax as ADMINS. For
example:
MANAGERS = (
('George Harrison', 'gharrison@example.com'),
('Ringo Starr', 'ringo@example.com'),
)
Note that error e-mails can get annoying; they’re not for everybody.
Using Different Settings for Production
So far in this book, we’ve dealt with only a single settings file: the
settings.py generated by django-admin.py startproject. But as you get
ready to deploy, you’ll likely find yourself needing multiple settings files to
keep your development environment isolated from your production environment.
(For example, you probably won’t want to change DEBUG from False to
True whenever you want to test code changes on your local machine.) Django
makes this very easy by allowing you to use multiple settings files.
If you’d like to organize your settings files into “production” and
“development” settings, you can accomplish this in one of three ways:
- Set up two full-blown, independent settings files.
- Set up a “base” settings file (say, for development) and a second (say,
production) settings file that merely imports from the first one and
defines whatever overrides it needs to define.
- Use only a single settings file that has Python logic to change the
settings based on context.
We’ll take these one at a time.
First, the most basic approach is to define two separate settings files. If
you’re following along, you’ve already got settings.py. Now, just make a
copy of it called settings_production.py. (We made this name up; you can
call it whatever you want.) In this new file, change DEBUG, etc.
The second approach is similar but cuts down on redundancy. Instead of having
two settings files whose contents are mostly similar, you can treat one as the
“base” file and create another file that imports from it. For example:
# settings.py
DEBUG = True
TEMPLATE_DEBUG = DEBUG
DATABASE_ENGINE = 'postgresql_psycopg2'
DATABASE_NAME = 'devdb'
DATABASE_USER = ''
DATABASE_PASSWORD = ''
DATABASE_PORT = ''
# ...
# settings_production.py
from settings import *
DEBUG = TEMPLATE_DEBUG = False
DATABASE_NAME = 'production'
DATABASE_USER = 'app'
DATABASE_PASSWORD = 'letmein'
Here, settings_production.py imports everything from settings.py and
just redefines the settings that are particular to production. In this case,
DEBUG is set to False, but we’ve also set different database access
parameters for the production setting. (The latter goes to show that you can
redefine any setting, not just the basic ones like DEBUG.)
Finally, the most concise way of accomplishing two settings environments is to
use a single settings file that branches based on the environment. One way to
do this is to check the current hostname. For example:
# settings.py
import socket
if socket.gethostname() == 'my-laptop':
DEBUG = TEMPLATE_DEBUG = True
else:
DEBUG = TEMPLATE_DEBUG = False
# ...
Here, we import the socket module from Python’s standard library and use it
to check the current system’s hostname. We can check the hostname to determine
whether the code is being run on the production server.
A core lesson here is that settings files are just Python code. They can
import from other files, they can execute arbitrary logic, etc. Just make sure
that, if you go down this road, the Python code in your settings files is
bulletproof. If it raises any exceptions, Django will likely crash badly.
Renaming settings.py
Feel free to rename your settings.py to settings_dev.py or
settings/dev.py or foobar.py – Django doesn’t care, as long as
you tell it what settings file you’re using.
But if you do rename the settings.py file that is generated by
django-admin.py startproject, you’ll find that manage.py will give
you an error message saying that it can’t find the settings. That’s because
it tries to import a module called settings. You can fix this either by
editing manage.py to change settings to the name of your module, or
by using django-admin.py instead of manage.py. In the latter case,
you’ll need to set the DJANGO_SETTINGS_MODULE environment variable to
the Python path to your settings file (e.g., 'mysite.settings').
DJANGO_SETTINGS_MODULE
With those code changes out of the way, the next part of this chapter will
focus on deployment instructions for specific environments, such as Apache.
The instructions are different for each environment, but one thing remains the
same: in each case, you will have to tell the Web server your
DJANGO_SETTINGS_MODULE. This is the entry point into your Django
application. The DJANGO_SETTINGS_MODULE points to your settings file, which
points to your ROOT_URLCONF, which points to your views, and so on.
DJANGO_SETTINGS_MODULE is the Python path to your settings file. For
example, assuming the mysite directory is on your Python path, the
DJANGO_SETTINGS_MODULE for our ongoing example is 'mysite.settings'.
Using Django with Apache and mod_python
Apache with mod_python historically has been the suggested setup for using
Django on a production server.
mod_python (http://www.djangoproject.com/r/mod_python/) is an Apache plug-in
that embeds Python within Apache and loads Python code into memory when the
server starts. Code stays in memory throughout the life of an Apache process,
which leads to significant performance gains over other server arrangements.
Django requires Apache 2.x and mod_python 3.x.
Note
Configuring Apache is well beyond the scope of this book, so
we’ll simply mention details as needed. Luckily, many great resources are
available if you need to learn more about Apache. A few of them we like
are:
Basic Configuration
To configure Django with mod_python, first make sure you have Apache installed
with the mod_python module activated. This usually means having a
LoadModule directive in your Apache configuration file. It will look something
like this:
LoadModule python_module /usr/lib/apache2/modules/mod_python.so
Then, edit your Apache configuration file and add a <Location> directive
that ties a specific URL path to a specific Django installation. For example:
<Location "/">
SetHandler python-program
PythonHandler django.core.handlers.modpython
SetEnv DJANGO_SETTINGS_MODULE mysite.settings
PythonDebug Off
</Location>
Make sure to replace mysite.settings with the appropriate
DJANGO_SETTINGS_MODULE for your site.
This tells Apache, “Use mod_python for any URL at or under ‘/’, using the
Django mod_python handler.” It passes the value of DJANGO_SETTINGS_MODULE
so mod_python knows which settings to use.
Note that we’re using the <Location> directive, not the <Directory>
directive. The latter is used for pointing at places on your filesystem,
whereas <Location> points at places in the URL structure of a Web site.
<Directory> would be meaningless here.
Apache likely runs as a different user than your normal login and may have a
different path and sys.path. You may need to tell mod_python how to find your
project and Django itself.
PythonPath "['/path/to/project', '/path/to/django'] + sys.path"
You can also add directives such as PythonAutoReload Off for performance.
See the mod_python documentation for a full list of options.
Note that you should set PythonDebug Off on a production server. If you
leave PythonDebug On, your users will see ugly (and revealing) Python
tracebacks if something goes wrong within mod_python.
Restart Apache, and any request to your site (or virtual host if you’ve put
this directive inside a <VirtualHost> block) will be served by Django.
Running Multiple Django Installations on the Same Apache Instance
It’s entirely possible to run multiple Django installations on the same Apache
instance. You might want to do this if you’re an independent Web developer with
multiple clients but only a single server.
To accomplish this, just use VirtualHost like so:
NameVirtualHost *
<VirtualHost *>
ServerName www.example.com
# ...
SetEnv DJANGO_SETTINGS_MODULE mysite.settings
</VirtualHost>
<VirtualHost *>
ServerName www2.example.com
# ...
SetEnv DJANGO_SETTINGS_MODULE mysite.other_settings
</VirtualHost>
If you need to put two Django installations within the same VirtualHost,
you’ll need to take a special precaution to ensure mod_python’s code cache
doesn’t mess things up. Use the PythonInterpreter directive to give
different <Location> directives separate interpreters:
<VirtualHost *>
ServerName www.example.com
# ...
<Location "/something">
SetEnv DJANGO_SETTINGS_MODULE mysite.settings
PythonInterpreter mysite
</Location>
<Location "/otherthing">
SetEnv DJANGO_SETTINGS_MODULE mysite.other_settings
PythonInterpreter mysite_other
</Location>
</VirtualHost>
The values of PythonInterpreter don’t really matter, as long as they’re
different between the two Location blocks.
Running a Development Server with mod_python
Because mod_python caches loaded Python code, when deploying Django sites on
mod_python you’ll need to restart Apache each time you make changes to your
code. This can be a hassle, so here’s a quick trick to avoid it: just add
MaxRequestsPerChild 1 to your config file to force Apache to reload
everything for each request. But don’t do that on a production server, or we’ll
revoke your Django privileges.
If you’re the type of programmer who debugs using scattered print
statements (we are), note that print statements have no effect in
mod_python; they don’t appear in the Apache log, as you might expect. If you
have the need to print debugging information in a mod_python setup, you’ll
probably want to use Python’s standard logging package. More information is
available at http://docs.python.org/lib/module-logging.html.
Error Handling
When you use Apache/mod_python, errors will be caught by Django – in other
words, they won’t propagate to the Apache level and won’t appear in the Apache
error_log.
The exception to this is if something is really messed up in your Django
setup. In that case, you’ll see an ominous “Internal Server Error” page in your
browser and the full Python traceback in your Apache error_log file. The
error_log traceback is spread over multiple lines. (Yes, this is ugly and
rather hard to read, but it’s how mod_python does things.)
Handling a Segmentation Fault
Sometimes, Apache segfaults when you install Django. When this happens, it’s
almost always one of two causes mostly unrelated to Django itself:
- It may be that your Python code is importing the pyexpat module
(used for XML parsing), which may conflict with the version embedded in
Apache. For full information, see “Expat Causing Apache Crash” at
http://www.djangoproject.com/r/articles/expat-apache-crash/.
- It may be because you’re running mod_python and mod_php in the same
Apache instance, with MySQL as your database backend. In some cases, this
causes a known mod_python issue due to version conflicts in PHP and the
Python MySQL back-end. There’s full information in a mod_python FAQ entry,
accessible via http://www.djangoproject.com/r/articles/php-modpython-faq/.
If you continue to have problems setting up mod_python, a good thing to do is
get a bare-bones mod_python site working, without the Django framework. This is
an easy way to isolate mod_python-specific problems. The article “Getting mod_python
Working” details this procedure:
http://www.djangoproject.com/r/articles/getting-modpython-working/.
The next step should be to edit your test code and add an import of any
Django-specific code you’re using – your views, your models, your URLconf,
your RSS configuration, and so forth. Put these imports in your test handler function
and access your test URL in a browser. If this causes a crash, you’ve
confirmed it’s the importing of Django code that causes the problem. Gradually
reduce the set of imports until it stops crashing, so as to find the specific
module that causes the problem. Drop down further into modules and look into
their imports as necessary. For more help, system tools like ldconfig on
Linux, otool on Mac OS, and ListDLLs (from SysInternals) on Windows
can help you identify shared dependencies and possible version conflicts.
An Alternative: mod_wsgi
As an alternative to mod_python, you might consider using mod_wsgi
(http://code.google.com/p/modwsgi/), which has been developed more recently
than mod_python and is getting some traction in the Django community. A full
overview is outside the scope of this book, but see the official Django
documentation for more information.
Using Django with FastCGI
Although Django under Apache and mod_python is the most robust deployment
setup, many people use shared hosting, on which FastCGI is the only available
deployment option.
Additionally, in some situations, FastCGI allows better security and possibly
better performance than mod_python. For small sites, FastCGI can also be more
lightweight than Apache.
FastCGI Overview
FastCGI is an efficient way of letting an external application serve pages to
a Web server. The Web server delegates the incoming Web requests (via a
socket) to FastCGI, which executes the code and passes the response back to
the Web server, which, in turn, passes it back to the client’s Web browser.
Like mod_python, FastCGI allows code to stay in memory, allowing requests to
be served with no startup time. Unlike mod_python, a FastCGI process doesn’t
run inside the Web server process, but in a separate, persistent process.
Why Run Code in a Separate Process?
The traditional mod_* arrangements in Apache embed various scripting
languages (most notably PHP, Python/mod_python, and Perl/mod_perl) inside
the process space of your Web server. Although this lowers startup time
(because code doesn’t have to be read off disk for every request), it comes
at the cost of memory use.
Each Apache process gets a copy of the Apache engine, complete with all
the features of Apache that Django simply doesn’t take advantage of.
FastCGI processes, on the other hand, only have the memory overhead of
Python and Django.
Due to the nature of FastCGI, it’s also possible to have processes that
run under a different user account than the Web server process. That’s a
nice security benefit on shared systems, because it means you can secure
your code from other users.
Before you can start using FastCGI with Django, you’ll need to install flup,
a Python library for dealing with FastCGI. Some users have reported
stalled pages with older flup versions, so you may want to use the latest
SVN version. Get flup at http://www.djangoproject.com/r/flup/.
Running Your FastCGI Server
FastCGI operates on a client/server model, and in most cases you’ll be
starting the FastCGI server process on your own. Your Web server (be it
Apache, lighttpd, or otherwise) contacts your Django-FastCGI process only when
the server needs a dynamic page to be loaded. Because the daemon is already
running with the code in memory, it’s able to serve the response very quickly.
Note
If you’re on a shared hosting system, you’ll probably be forced to use Web
server-managed FastCGI processes. If you’re in this situation, you should
read the section titled “Running Django on a Shared-Hosting Provider with
Apache,” below.
A Web server can connect to a FastCGI server in one of two ways: it can use
either a Unix domain socket (a named pipe on Win32 systems) or a
TCP socket. What you choose is a manner of preference; a TCP socket is usually
easier due to permissions issues.
To start your server, first change into the directory of your project
(wherever your manage.py is), and then run manage.py with the
runfcgi command:
./manage.py runfcgi [options]
If you specify help as the only option after runfcgi, a
list of all the available options will display.
You’ll need to specify either a socket or both host and port.
Then, when you set up your Web server, you’ll just need to point it at the
socket or host/port you specified when starting the FastCGI server.
A few examples should help explain this:
Running a threaded server on a TCP port:
./manage.py runfcgi method=threaded host=127.0.0.1 port=3033
Running a preforked server on a Unix domain socket:
./manage.py runfcgi method=prefork socket=/home/user/mysite.sock pidfile=django.pid
Run without daemonizing (backgrounding) the process (good for
debugging):
./manage.py runfcgi daemonize=false socket=/tmp/mysite.sock
Stopping the FastCGI Daemon
If you have the process running in the foreground, it’s easy enough to stop
it: simply press Ctrl+C to stop and quit the FastCGI server. However,
when you’re dealing with background processes, you’ll need to resort to the
Unix kill command.
If you specify the pidfile option to your manage.py runfcgi, you can
kill the running FastCGI daemon like this:
where $PIDFILE is the pidfile you specified.
To easily restart your FastCGI daemon on Unix, you can use this small shell
script:
#!/bin/bash
# Replace these three settings.
PROJDIR="/home/user/myproject"
PIDFILE="$PROJDIR/mysite.pid"
SOCKET="$PROJDIR/mysite.sock"
cd $PROJDIR
if [ -f $PIDFILE ]; then
kill `cat -- $PIDFILE`
rm -f -- $PIDFILE
fi
exec /usr/bin/env - \
PYTHONPATH="../python:.." \
./manage.py runfcgi socket=$SOCKET pidfile=$PIDFILE
Using Django with Apache and FastCGI
To use Django with Apache and FastCGI, you’ll need Apache installed and
configured, with mod_fastcgi installed and enabled. Consult the Apache and
mod_fastcgi documentation for instructions:
http://www.djangoproject.com/r/mod_fastcgi/.
Once you’ve completed the setup, point Apache at your Django FastCGI instance by
editing the httpd.conf (Apache configuration) file. You’ll need to do two
things:
- Use the FastCGIExternalServer directive to specify the location of
your FastCGI server.
- Use mod_rewrite to point URLs at FastCGI as appropriate.
Specifying the Location of the FastCGI Server
The FastCGIExternalServer directive tells Apache how to find your FastCGI
server. As the FastCGIExternalServer docs
(http://www.djangoproject.com/r/mod_fastcgi/FastCGIExternalServer/) explain, you
can specify either a socket or a host. Here are examples of both:
# Connect to FastCGI via a socket/named pipe:
FastCGIExternalServer /home/user/public_html/mysite.fcgi -socket /home/user/mysite.sock
# Connect to FastCGI via a TCP host/port:
FastCGIExternalServer /home/user/public_html/mysite.fcgi -host 127.0.0.1:3033
In either case, the the directory /home/user/public_html/ should exist,
though the file /home/user/public_html/mysite.fcgi doesn’t
actually have to exist. It’s just a URL used by the Web server internally – a
hook for signifying which requests at a URL should be handled by FastCGI.
(More on this in the next section.)
Using mod_rewrite to Point URLs at FastCGI
The second step is telling Apache to use FastCGI for URLs that match a certain
pattern. To do this, use the mod_rewrite module and rewrite URLs to
mysite.fcgi (or whatever you specified in the FastCGIExternalServer
directive, as explained in the previous section).
In this example, we tell Apache to use FastCGI to handle any request that
doesn’t represent a file on the filesystem and doesn’t start with /media/.
This is probably the most common case, if you’re using Django’s admin site:
<VirtualHost 12.34.56.78>
ServerName example.com
DocumentRoot /home/user/public_html
Alias /media /home/user/python/django/contrib/admin/media
RewriteEngine On
RewriteRule ^/(media.*)$ /$1 [QSA,L]
RewriteCond %{REQUEST_FILENAME} !-f
RewriteRule ^/(.*)$ /mysite.fcgi/$1 [QSA,L]
</VirtualHost>
FastCGI and lighttpd
lighttpd (http://www.djangoproject.com/r/lighttpd/) is a lightweight Web server
commonly used for serving static files. It supports FastCGI natively and thus
is also an ideal choice for serving both static and dynamic pages, if your site
doesn’t have any Apache-specific needs.
Make sure mod_fastcgi is in your modules list, somewhere after
mod_rewrite and mod_access, but not after mod_accesslog. You’ll
probably want mod_alias as well, for serving admin media.
Add the following to your lighttpd config file:
server.document-root = "/home/user/public_html"
fastcgi.server = (
"/mysite.fcgi" => (
"main" => (
# Use host / port instead of socket for TCP fastcgi
# "host" => "127.0.0.1",
# "port" => 3033,
"socket" => "/home/user/mysite.sock",
"check-local" => "disable",
)
),
)
alias.url = (
"/media/" => "/home/user/django/contrib/admin/media/",
)
url.rewrite-once = (
"^(/media.*)$" => "$1",
"^/favicon\.ico$" => "/media/favicon.ico",
"^(/.*)$" => "/mysite.fcgi$1",
)
Running Multiple Django Sites on One lighttpd Instance
lighttpd lets you use “conditional configuration” to allow configuration to be
customized per host. To specify multiple FastCGI sites, just add a conditional
block around your FastCGI config for each site:
# If the hostname is 'www.example1.com'...
$HTTP["host"] == "www.example1.com" {
server.document-root = "/foo/site1"
fastcgi.server = (
...
)
...
}
# If the hostname is 'www.example2.com'...
$HTTP["host"] == "www.example2.com" {
server.document-root = "/foo/site2"
fastcgi.server = (
...
)
...
}
You can also run multiple Django installations on the same site simply by
specifying multiple entries in the fastcgi.server directive. Add one
FastCGI host for each.
Running Django on a Shared-Hosting Provider with Apache
Many shared-hosting providers don’t allow you to run your own server daemons
or edit the httpd.conf file. In these cases, it’s still possible to run
Django using Web server-spawned processes.
Note
If you’re using Web server-spawned processes, as explained in this
section, there’s no need for you to start the FastCGI server on your own.
Apache will spawn a number of processes, scaling as it needs to.
In your Web root directory, add this to a file named .htaccess
AddHandler fastcgi-script .fcgi
RewriteEngine On
RewriteCond %{REQUEST_FILENAME} !-f
RewriteRule ^(.*)$ mysite.fcgi/$1 [QSA,L]
Then, create a small script that tells Apache how to spawn your FastCGI
program. Create a file, mysite.fcgi, and place it in your Web directory, and
be sure to make it executable
#!/usr/bin/python
import sys, os
# Add a custom Python path.
sys.path.insert(0, "/home/user/python")
# Switch to the directory of your project. (Optional.)
# os.chdir("/home/user/myproject")
# Set the DJANGO_SETTINGS_MODULE environment variable.
os.environ['DJANGO_SETTINGS_MODULE'] = "myproject.settings"
from django.core.servers.fastcgi import runfastcgi
runfastcgi(method="threaded", daemonize="false")
Restarting the Spawned Server
If you change any Python code on your site, you’ll need to tell FastCGI the
code has changed. But there’s no need to restart Apache in this case. Rather,
just reupload mysite.fcgi – or edit the file – so that the timestamp
on the file changes. When Apache sees the file has been updated, it will
restart your Django application for you.
If you have access to a command shell on a Unix system, you can accomplish
this easily by using the touch command:
Scaling
Now that you know how to get Django running on a single server, let’s look at
how you can scale out a Django installation. This section walks through how
a site might scale from a single server to a large-scale cluster that could
serve millions of hits an hour.
It’s important to note, however, that nearly every large site is large in
different ways, so scaling is anything but a one-size-fits-all operation. The
following coverage should suffice to show the general principle, and whenever
possible we’ll try to point out where different choices could be made.
First off, we’ll make a pretty big assumption and exclusively talk about
scaling under Apache and mod_python. Though we know of a number of successful
medium- to large-scale FastCGI deployments, we’re much more familiar with
Apache.
Running on a Single Server
Most sites start out running on a single server, with an architecture that
looks something like Figure 12-1.
This works just fine for small- to medium-sized sites, and it’s relatively cheap – you
can put together a single-server site designed for Django for well under $3,000.
However, as traffic increases you’ll quickly run into resource contention
between the different pieces of software. Database servers and Web servers
love to have the entire server to themselves, so when run on the same server
they often end up “fighting” over the same resources (RAM, CPU) that they’d
prefer to monopolize.
This is solved easily by moving the database server to a second machine,
as explained in the following section.
Separating Out the Database Server
As far as Django is concerned, the process of separating out the database server
is extremely easy: you’ll simply need to change the DATABASE_HOST
setting to the IP or DNS name of your database server. It’s probably a good idea
to use the IP if at all possible, as relying on DNS for the connection between
your Web server and database server isn’t recommended.
With a separate database server, our architecture now looks like Figure 12-2.
Here we’re starting to move into what’s usually called n-tier
architecture. Don’t be scared by the buzzword – it just refers to the fact that
different “tiers” of the Web stack get separated out onto different physical
machines.
At this point, if you anticipate ever needing to grow beyond a single database
server, it’s probably a good idea to start thinking about connection pooling
and/or database replication. Unfortunately, there’s not nearly enough space to do
those topics justice in this book, so you’ll need to consult your database’s
documentation and/or community for more information.
Implementing Load Balancing and Redundancy
At this point, we’ve broken things down as much as possible. This
three-server setup should handle a very large amount of traffic – we served
around 10 million hits a day from an architecture of this sort – so if you
grow further, you’ll need to start adding redundancy.
This is a good thing, actually. One glance at Figure 12-3 shows you that
if even a single one of your three servers fails, you’ll bring down your
entire site. So as you add redundant servers, not only do you increase capacity,
but you also increase reliability.
For the sake of this example, let’s assume that the Web server hits capacity
first. It’s relatively easy to get multiple copies of a Django site running on
different hardware – just copy all the code onto multiple machines, and start
Apache on both of them.
However, you’ll need another piece of software to distribute traffic over your
multiple servers: a load balancer. You can buy expensive and proprietary
hardware load balancers, but there are a few high-quality open source software
load balancers out there.
Apache’s mod_proxy is one option, but we’ve found Perlbal
(http://www.djangoproject.com/r/perlbal/) to be fantastic. It’s a load
balancer and reverse proxy written by the same folks who wrote memcached
(see Chapter 15).
Note
If you’re using FastCGI, you can accomplish this same distribution/load
balancing step by separating your front-end Web servers and back-end
FastCGI processes onto different machines. The front-end server
essentially becomes the load balancer, and the back-end FastCGI processes
replace the Apache/mod_python/Django servers.
With the Web servers now clustered, our evolving architecture starts to look
more complex, as shown in Figure 12-4.
Notice that in the diagram the Web servers are referred to as a “cluster” to
indicate that the number of servers is basically variable. Once you have a
load balancer out front, you can easily add and remove back-end Web servers
without a second of downtime.
Going Big
At this point, the next few steps are pretty much derivatives of the last one:
- As you need more database performance, you might want to add replicated
database servers. MySQL includes built-in replication; PostgreSQL
users should look into Slony (http://www.djangoproject.com/r/slony/)
and pgpool (http://www.djangoproject.com/r/pgpool/) for replication and
connection pooling, respectively.
- If the single load balancer isn’t enough, you can add more load
balancer machines out front and distribute among them using
round-robin DNS.
- If a single media server doesn’t suffice, you can add more media
servers and distribute the load with your load-balancing cluster.
- If you need more cache storage, you can add dedicated cache servers.
- At any stage, if a cluster isn’t performing well, you can add more
servers to the cluster.
After a few of these iterations, a large-scale architecture might look like Figure 12-5.
Though we’ve shown only two or three servers at each level, there’s no
fundamental limit to how many you can add.
Performance Tuning
If you have huge amount of money, you can just keep throwing hardware at
scaling problems. For the rest of us, though, performance tuning is a must.
Note
Incidentally, if anyone with monstrous gobs of cash is actually reading
this book, please consider a substantial donation to the Django Foundation.
We accept uncut diamonds and gold ingots, too.
Unfortunately, performance tuning is much more of an art than a science, and it
is even more difficult to write about than scaling. If you’re serious about
deploying a large-scale Django application, you should spend a great deal of
time learning how to tune each piece of your stack.
The following sections, though, present a few Django-specific tuning tips we’ve
discovered over the years.
There’s No Such Thing As Too Much RAM
Even the really expensive RAM is relatively affordable these days. Buy as much
RAM as you can possibly afford, and then buy a little bit more.
Faster processors won’t improve performance all that much; most Web
servers spend up to 90% of their time waiting on disk I/O. As soon as you start
swapping, performance will just die. Faster disks might help slightly, but
they’re much more expensive than RAM, such that it doesn’t really matter.
If you have multiple servers, the first place to put your RAM is in the
database server. If you can afford it, get enough RAM to get fit your entire
database into memory. This shouldn’t be too hard; we’ve developed a site
with more than half a million newspaper articles, and it took under 2GB of
space.
Next, max out the RAM on your Web server. The ideal situation is one where
neither server swaps – ever. If you get to that point, you should be able to
withstand most normal traffic.
Turn Off Keep-Alive
Keep-Alive is a feature of HTTP that allows multiple HTTP requests to be
served over a single TCP connection, avoiding the TCP setup/teardown overhead.
This looks good at first glance, but it can kill the performance of a Django
site. If you’re properly serving media from a separate server, each user
browsing your site will only request a page from your Django server every ten
seconds or so. This leaves HTTP servers waiting around for the next
keep-alive request, and an idle HTTP server just consumes RAM that an active one
should be using.
Use memcached
Although Django supports a number of different cache back-ends, none of them
even come close to being as fast as memcached. If you have a high-traffic
site, don’t even bother with the other backends – go straight to memcached.
Use memcached Often
Of course, selecting memcached does you no good if you don’t actually use it.
Chapter 15 is your best friend here: learn how to use Django’s cache
framework, and use it everywhere possible. Aggressive, preemptive caching is
usually the only thing that will keep a site up under major traffic.
Join the Conversation
Each piece of the Django stack – from Linux to Apache to PostgreSQL or MySQL
– has an awesome community behind it. If you really want to get that last 1%
out of your servers, join the open source communities behind your software and
ask for help. Most free-software community members will be happy to help.
And also be sure to join the Django community. Your humble authors are only two
members of an incredibly active, growing group of Django developers. Our
community has a huge amount of collective experience to offer.
What’s Next?
The remaining chapters focus on other Django features that you may or may not
need, depending on your application. Feel free to read them in any order you
choose.
Chapter 13: Generating Non-HTML Content
Usually when we talk about developing Web sites, we’re talking about producing
HTML. Of course, there’s a lot more to the Web than HTML; we use the Web
to distribute data in all sorts of formats: RSS, PDFs, images, and so forth.
So far, we’ve focused on the common case of HTML production, but in this chapter
we’ll take a detour and look at using Django to produce other types of content.
Django has convenient built-in tools that you can use to produce some common
non-HTML content:
- RSS/Atom syndication feeds
- Sitemaps (an XML format originally developed by Google that gives hints to
search engines)
We’ll examine each of those tools a little later, but first we’ll cover the
basic principles.
The basics: views and MIME-types
Recall from Chapter 3 that a view function is simply a Python function that
takes a Web request and returns a Web response. This response can be the HTML
contents of a Web page, or a redirect, or a 404 error, or an XML document,
or an image...or anything, really.
More formally, a Django view function must
- Accept an HttpRequest instance as its first argument
- Return an HttpResponse instance
The key to returning non-HTML content from a view lies in the HttpResponse
class, specifically the mimetype argument. By tweaking the MIME type, we
can indicate to the browser that we’ve returned a response of a different
format.
For example, let’s look at a view that returns a PNG image. To
keep things simple, we’ll just read the file off the disk:
from django.http import HttpResponse
def my_image(request):
image_data = open("/path/to/my/image.png", "rb").read()
return HttpResponse(image_data, mimetype="image/png")
That’s it! If you replace the image path in the open() call with a path to
a real image, you can use this very simple view to serve an image, and the
browser will display it correctly.
The other important thing to keep in mind is that HttpResponse objects
implement Python’s standard “file-like object” API. This means that you can use
an HttpResponse instance in any place Python (or a third-party library)
expects a file.
For an example of how that works, let’s take a look at producing CSV with
Django.
Producing CSV
CSV is a simple data format usually used by spreadsheet software. It’s basically
a series of table rows, with each cell in the row separated by a comma (CSV
stands for comma-separated values). For example, here’s some data on “unruly”
airline passengers in CSV format:
Year,Unruly Airline Passengers
1995,146
1996,184
1997,235
1998,200
1999,226
2000,251
2001,299
2002,273
2003,281
2004,304
2005,203
2006,134
2007,147
Note
The preceding listing contains real numbers! They come from the U.S.
Federal Aviation Administration.
Though CSV looks simple, its formatting details haven’t been universally agreed
upon. Different pieces of software produce and consume different variants of
CSV, making it a bit tricky to use. Luckily, Python comes with a standard CSV
library, csv, that is pretty much bulletproof.
Because the csv module operates on file-like objects, it’s a snap to use
an HttpResponse instead:
import csv
from django.http import HttpResponse
# Number of unruly passengers each year 1995 - 2005. In a real application
# this would likely come from a database or some other back-end data store.
UNRULY_PASSENGERS = [146,184,235,200,226,251,299,273,281,304,203]
def unruly_passengers_csv(request):
# Create the HttpResponse object with the appropriate CSV header.
response = HttpResponse(mimetype='text/csv')
response['Content-Disposition'] = 'attachment; filename=unruly.csv'
# Create the CSV writer using the HttpResponse as the "file."
writer = csv.writer(response)
writer.writerow(['Year', 'Unruly Airline Passengers'])
for (year, num) in zip(range(1995, 2006), UNRULY_PASSENGERS):
writer.writerow([year, num])
return response
The code and comments should be pretty clear, but a few things deserve special
mention:
The response is given the text/csv MIME type (instead of the default
text/html). This tells browsers that the document is a CSV file.
The response gets an additional Content-Disposition header, which
contains the name of the CSV file. This header (well, the “attachment”
part) will instruct the browser to prompt for a location to save the
file instead of just displaying it. This file name is arbitrary; call
it whatever you want. It will be used by browsers in the “Save As”
dialog.
To assign a header on an HttpResponse, just treat the
HttpResponse as a dictionary and set a key/value.
Hooking into the CSV-generation API is easy: just pass response as
the first argument to csv.writer. The csv.writer function
expects a file-like object, and HttpResponse objects fit the bill.
For each row in your CSV file, call writer.writerow, passing it an
iterable object such as a list or tuple.
The CSV module takes care of quoting for you, so you don’t have to worry
about escaping strings with quotes or commas in them. Just pass
information to writerow(), and it will do the right thing.
This is the general pattern you’ll use any time you need to return non-HTML
content: create an HttpResponse response object (with a special MIME type),
pass it to something expecting a file, and then return the response.
Let’s look at a few more examples.
Generating PDFs
Portable Document Format (PDF) is a format developed by Adobe that’s used to
represent printable documents, complete with pixel-perfect formatting,
embedded fonts, and 2D vector graphics. You can think of a PDF document as the
digital equivalent of a printed document; indeed, PDFs are often used in
distributing documents for the purpose of printing them.
You can easily generate PDFs with Python and Django thanks to the excellent
open source ReportLab library (http://www.reportlab.org/rl_toolkit.html).
The advantage of generating PDF files dynamically is that you can create
customized PDFs for different purposes – say, for different users or
different pieces of content.
For example, your humble authors used Django and ReportLab at KUSports.com to
generate customized, printer-ready NCAA tournament brackets.
Installing ReportLab
Before you do any PDF generation, however, you’ll need to install ReportLab.
It’s usually simple: just download and install the library from
http://www.reportlab.org/downloads.html.
Note
If you’re using a modern Linux distribution, you might want to check your
package management utility before installing ReportLab. Most
package repositories have added ReportLab.
For example, if you’re using Ubuntu, a simple
apt-get install python-reportlab will do the trick nicely.
The user guide (naturally available only as a PDF file) at
http://www.reportlab.org/rsrc/userguide.pdf has additional installation
instructions.
Test your installation by importing it in the Python interactive interpreter:
If that command doesn’t raise any errors, the installation worked.
Writing Your View
Like CSV, generating PDFs dynamically with Django is easy because the ReportLab
API acts on file-like objects.
Here’s a “Hello World” example:
from reportlab.pdfgen import canvas
from django.http import HttpResponse
def hello_pdf(request):
# Create the HttpResponse object with the appropriate PDF headers.
response = HttpResponse(mimetype='application/pdf')
response['Content-Disposition'] = 'attachment; filename=hello.pdf'
# Create the PDF object, using the response object as its "file."
p = canvas.Canvas(response)
# Draw things on the PDF. Here's where the PDF generation happens.
# See the ReportLab documentation for the full list of functionality.
p.drawString(100, 100, "Hello world.")
# Close the PDF object cleanly, and we're done.
p.showPage()
p.save()
return response
A few notes are in order:
- Here we use the application/pdf MIME type. This tells browsers that
the document is a PDF file, rather than an HTML file. If you leave off
this information, browsers will probably interpret the response as HTML,
which will result in scary gobbledygook in the browser window.
- Hooking into the ReportLab API is easy: just pass response as the
first argument to canvas.Canvas. The Canvas class expects a
file-like object, and HttpResponse objects fit the bill.
- All subsequent PDF-generation methods are called on the PDF
object (in this case, p), not on response.
- Finally, it’s important to call showPage() and save() on the PDF
file – or else, you’ll end up with a corrupted PDF file.
Complex PDFs
If you’re creating a complex PDF document (or any large data blob), consider
using the cStringIO library as a temporary holding place for your PDF
file. The cStringIO library provides a file-like object interface that is
written in C for maximum efficiency.
Here’s the previous “Hello World” example rewritten to use cStringIO:
from cStringIO import StringIO
from reportlab.pdfgen import canvas
from django.http import HttpResponse
def hello_pdf(request):
# Create the HttpResponse object with the appropriate PDF headers.
response = HttpResponse(mimetype='application/pdf')
response['Content-Disposition'] = 'attachment; filename=hello.pdf'
temp = StringIO()
# Create the PDF object, using the StringIO object as its "file."
p = canvas.Canvas(temp)
# Draw things on the PDF. Here's where the PDF generation happens.
# See the ReportLab documentation for the full list of functionality.
p.drawString(100, 100, "Hello world.")
# Close the PDF object cleanly.
p.showPage()
p.save()
# Get the value of the StringIO buffer and write it to the response.
response.write(temp.getvalue())
return response
Other Possibilities
There’s a whole host of other types of content you can generate in Python.
Here are a few more ideas and some pointers to libraries you could use to
implement them:
- ZIP files: Python’s standard library ships with the
zipfile module, which can both read and write compressed ZIP files.
You could use it to provide on-demand archives of a bunch of files, or
perhaps compress large documents when requested. You could similarly
produce TAR files using the standard library’s tarfile module.
- Dynamic images: The Python Imaging Library
(PIL; http://www.pythonware.com/products/pil/) is a fantastic toolkit for
producing images (PNG, JPEG, GIF, and a whole lot more). You could use
it to automatically scale down images into thumbnails, composite
multiple images into a single frame, or even do Web-based image
processing.
- Plots and charts: There are a number of powerful Python plotting and
charting libraries you could use to produce on-demand maps, charts,
plots, and graphs. We can’t possibly list them all, so here are
a couple of the highlights:
- matplotlib (http://matplotlib.sourceforge.net/) can be
used to produce the type of high-quality plots usually generated
with MatLab or Mathematica.
- pygraphviz (http://networkx.lanl.gov/pygraphviz/), an
interface to the Graphviz graph layout toolkit
(http://graphviz.org/), can be used for generating structured diagrams of
graphs and networks.
In general, any Python library capable of writing to a file can be hooked into
Django. The possibilities are immense.
Now that we’ve looked at the basics of generating non-HTML content, let’s step
up a level of abstraction. Django ships with some pretty nifty built-in tools
for generating some common types of non-HTML content.
The Syndication Feed Framework
Django comes with a high-level syndication-feed-generating framework that
makes creating RSS and Atom feeds easy.
To create any syndication feed, all you have to do is write a short Python
class. You can create as many feeds as you want.
The high-level feed-generating framework is a view that’s hooked to /feeds/
by convention. Django uses the remainder of the URL (everything after
/feeds/) to determine which feed to return.
To create a feed, you’ll write a Feed class and point to it in your
URLconf.
Initialization
To activate syndication feeds on your Django site, add this URLconf:
(r'^feeds/(?P<url>.*)/$', 'django.contrib.syndication.views.feed',
{'feed_dict': feeds}
),
This line tells Django to use the RSS framework to handle all URLs starting with
"feeds/". (You can change that "feeds/" prefix to fit your own needs.)
This URLconf line has an extra argument: {'feed_dict': feeds}. Use this
extra argument to pass the syndication framework the feeds that should be
published under that URL.
Specifically, feed_dict should be a dictionary that maps a feed’s slug
(short URL label) to its Feed class. You can define the feed_dict
in the URLconf itself. Here’s a full example URLconf:
from django.conf.urls.defaults import *
from mysite.feeds import LatestEntries, LatestEntriesByCategory
feeds = {
'latest': LatestEntries,
'categories': LatestEntriesByCategory,
}
urlpatterns = patterns('',
# ...
(r'^feeds/(?P<url>.*)/$', 'django.contrib.syndication.views.feed',
{'feed_dict': feeds}),
# ...
)
The preceding example registers two feeds:
- The feed represented by LatestEntries will live at
feeds/latest/.
- The feed represented by LatestEntriesByCategory will live at
feeds/categories/.
Once that’s set up, you’ll need to define the Feed classes themselves.
A Feed class is a simple Python class that represents a syndication feed.
A feed can be simple (e.g., a “site news” feed, or a basic feed displaying the
latest entries of a blog) or more complex (e.g., a feed displaying all the
blog entries in a particular category, where the category is variable).
Feed classes must subclass django.contrib.syndication.feeds.Feed. They
can live anywhere in your code tree.
A Simple Feed
This simple example describes a feed of the latest five blog entries for a
given blog:
from django.contrib.syndication.feeds import Feed
from mysite.blog.models import Entry
class LatestEntries(Feed):
title = "My Blog"
link = "/archive/"
description = "The latest news about stuff."
def items(self):
return Entry.objects.order_by('-pub_date')[:5]
The important things to notice here are as follows:
- The class subclasses django.contrib.syndication.feeds.Feed.
- title, link, and description correspond to the standard RSS
<title>, <link>, and <description> elements, respectively.
- items() is simply a method that returns a list of objects that
should be included in the feed as <item> elements. Although this
example returns Entry objects using Django’s database API,
items() doesn’t have to return model instances.
There’s just one more step. In an RSS feed, each <item> has a <title>,
<link>, and <description>. We need to tell the framework what data to
put into those elements.
To specify the contents of <title> and <description>, create
Django templates called feeds/latest_title.html and
feeds/latest_description.html, where latest is the slug
specified in the URLconf for the given feed. Note that the .html
extension is required.
The RSS system renders that template for each item, passing it two
template context variables:
- obj: The current object (one of whichever objects you
returned in items()).
- site: A django.models.core.sites.Site object representing the
current site. This is useful for {{ site.domain }} or {{
site.name }}.
If you don’t create a template for either the title or description, the
framework will use the template "{{ obj }}" by default – that is,
the normal string representation of the object. (For model objects, this
will be the __unicode__() method.
You can also change the names of these two templates by specifying
title_template and description_template as attributes of your
Feed class.
To specify the contents of <link>, you have two options. For each
item in items(), Django first tries executing a
get_absolute_url() method on that object. If that method doesn’t
exist, it tries calling a method item_link() in the Feed class,
passing it a single parameter, item, which is the object itself.
Both get_absolute_url() and item_link() should return the item’s
URL as a normal Python string.
For the previous LatestEntries example, we could have very simple feed
templates. latest_title.html contains:
and latest_description.html contains:
It’s almost too easy...
A More Complex Feed
The framework also supports more complex feeds, via parameters.
For example, say your blog offers an RSS feed for every distinct “tag” you’ve
used to categorize your entries. It would be silly to create a separate
Feed class for each tag; that would violate the Don’t Repeat Yourself
(DRY) principle and would couple data to programming logic.
Instead, the syndication framework lets you make generic
feeds that return items based on information in the feed’s URL.
Your tag-specific feeds could use URLs like this:
- http://example.com/feeds/tags/python/:
Returns recent entries tagged with “python”
- http://example.com/feeds/tags/cats/:
Returns recent entries tagged with “cats”
The slug here is "tags". The syndication framework sees the extra URL
bits after the slug – 'python' and 'cats' – and gives you a hook
to tell it what those URL bits mean and how they should influence which items
get published in the feed.
An example makes this clear. Here’s the code for these tag-specific feeds:
from django.core.exceptions import ObjectDoesNotExist
from mysite.blog.models import Entry, Tag
class TagFeed(Feed):
def get_object(self, bits):
# In case of "/feeds/tags/cats/dogs/mice/", or other such
# clutter, check that bits has only one member.
if len(bits) != 1:
raise ObjectDoesNotExist
return Tag.objects.get(tag=bits[0])
def title(self, obj):
return "My Blog: Entries tagged with %s" % obj.tag
def link(self, obj):
return obj.get_absolute_url()
def description(self, obj):
return "Entries tagged with %s" % obj.tag
def items(self, obj):
entries = Entry.objects.filter(tags__id__exact=obj.id)
return entries.order_by('-pub_date')[:30]
Here’s the basic algorithm of the RSS framework, given this class and a
request to the URL /feeds/tags/python/:
The framework gets the URL /feeds/tags/python/ and notices there’s an
extra bit of URL after the slug. It splits that remaining string by the
slash character ("/") and calls the Feed class’s
get_object() method, passing it the bits.
In this case, bits is ['python']. For a request to
/feeds/tags/python/django/, bits would be ['python', 'django'].
get_object() is responsible for retrieving the given Tag object,
from the given bits.
In this case, it uses the Django database API to
retrieve the Tag. Note that get_object() should raise
django.core.exceptions.ObjectDoesNotExist if given invalid
parameters. There’s no try/except around the
Tag.objects.get() call, because it’s not necessary. That function
raises Tag.DoesNotExist on failure, and Tag.DoesNotExist is a
subclass of ObjectDoesNotExist. Raising ObjectDoesNotExist in
get_object() tells Django to produce a 404 error for that request.
To generate the feed’s <title>, <link>, and <description>,
Django uses the title(), link(), and description() methods.
In the previous example, they were simple string class attributes, but
this example illustrates that they can be either strings or methods.
For each of title, link, and description, Django follows
this algorithm:
- It tries to call a method, passing the obj argument,
where obj is the object returned by get_object().
- Failing that, it tries to call a method with no arguments.
- Failing that, it uses the class attribute.
Finally, note that items() in this example also takes the obj
argument. The algorithm for items is the same as described in the
previous step – first, it tries items(obj), then items(), and then
finally an items class attribute (which should be a list).
Full documentation of all the methods and attributes of the Feed classes is
always available from the official Django documentation
(http://docs.djangoproject.com/en/dev/ref/contrib/syndication/).
Specifying the Type of Feed
By default, the syndication framework produces RSS 2.0. To change that,
add a feed_type attribute to your Feed class:
from django.utils.feedgenerator import Atom1Feed
class MyFeed(Feed):
feed_type = Atom1Feed
Note that you set feed_type to a class object, not an instance. Currently
available feed types are shown in Table 11-1.
Table 11-1. Feed Types
Feed Class |
Format |
django.utils.feedgenerator.Rss201rev2Feed |
RSS 2.01 (default) |
django.utils.feedgenerator.RssUserland091Feed |
RSS 0.91 |
django.utils.feedgenerator.Atom1Feed |
Atom 1.0 |
Enclosures
To specify enclosures (i.e., media resources associated with a feed item such as
MP3 podcast feeds), use the item_enclosure_url, item_enclosure_length,
and item_enclosure_mime_type hooks, for example:
from myproject.models import Song
class MyFeedWithEnclosures(Feed):
title = "Example feed with enclosures"
link = "/feeds/example-with-enclosures/"
def items(self):
return Song.objects.all()[:30]
def item_enclosure_url(self, item):
return item.song_url
def item_enclosure_length(self, item):
return item.song_length
item_enclosure_mime_type = "audio/mpeg"
This assumes, of course, that you’ve created a Song object with song_url
and song_length (i.e., the size in bytes) fields.
Language
Feeds created by the syndication framework automatically include the
appropriate <language> tag (RSS 2.0) or xml:lang attribute (Atom).
This comes directly from your LANGUAGE_CODE setting.
URLs
The link method/attribute can return either an absolute URL (e.g.,
"/blog/") or a URL with the fully qualified domain and protocol (e.g.,
"http://www.example.com/blog/"). If link doesn’t return the domain,
the syndication framework will insert the domain of the current site,
according to your SITE_ID setting. (See Chapter 16 for more on SITE_ID
and the sites framework.)
Atom feeds require a <link rel="self"> that defines the feed’s current
location. The syndication framework populates this automatically.
Publishing Atom and RSS Feeds in Tandem
Some developers like to make available both Atom and RSS versions of their
feeds. That’s easy to do with Django: just create a subclass of your feed
class and set the feed_type to something different. Then update your
URLconf to add the extra versions. Here’s a full example:
from django.contrib.syndication.feeds import Feed
from django.utils.feedgenerator import Atom1Feed
from mysite.blog.models import Entry
class RssLatestEntries(Feed):
title = "My Blog"
link = "/archive/"
description = "The latest news about stuff."
def items(self):
return Entry.objects.order_by('-pub_date')[:5]
class AtomLatestEntries(RssLatestEntries):
feed_type = Atom1Feed
And here’s the accompanying URLconf:
from django.conf.urls.defaults import *
from myproject.feeds import RssLatestEntries, AtomLatestEntries
feeds = {
'rss': RssLatestEntries,
'atom': AtomLatestEntries,
}
urlpatterns = patterns('',
# ...
(r'^feeds/(?P<url>.*)/$', 'django.contrib.syndication.views.feed',
{'feed_dict': feeds}),
# ...
)
The Sitemap Framework
A sitemap is an XML file on your Web site that tells search engine indexers
how frequently your pages change and how “important” certain pages are in
relation to other pages on your site. This information helps search engines
index your site.
For example, here’s a piece of the sitemap for Django’s Web site
(http://www.djangoproject.com/sitemap.xml):
<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
<url>
<loc>http://www.djangoproject.com/documentation/</loc>
<changefreq>weekly</changefreq>
<priority>0.5</priority>
</url>
<url>
<loc>http://www.djangoproject.com/documentation/0_90/</loc>
<changefreq>never</changefreq>
<priority>0.1</priority>
</url>
...
</urlset>
For more on sitemaps, see http://www.sitemaps.org/.
The Django sitemap framework automates the creation of this XML file by
letting you express this information in Python code. To create a sitemap,
you just need to write a Sitemap class and point to it in your URLconf.
Installation
To install the sitemap application, follow these steps:
- Add 'django.contrib.sitemaps' to your INSTALLED_APPS setting.
- Make sure
'django.template.loaders.app_directories.load_template_source' is
in your TEMPLATE_LOADERS setting. It’s in there by default, so
you’ll need to change this only if you’ve changed that setting.
- Make sure you’ve installed the sites framework (see Chapter 16).
Note
The sitemap application doesn’t install any database tables. The only
reason it needs to go into INSTALLED_APPS is so the
load_template_source template loader can find the default templates.
Initialization
To activate sitemap generation on your Django site, add this line to your
URLconf:
(r'^sitemap\.xml$', 'django.contrib.sitemaps.views.sitemap', {'sitemaps': sitemaps})
This line tells Django to build a sitemap when a client accesses
/sitemap.xml. Note that the dot character in sitemap.xml is escaped
with a backslash, because dots have a special meaning in regular expressions.
The name of the sitemap file is not important, but the location is. Search
engines will only index links in your sitemap for the current URL level and
below. For instance, if sitemap.xml lives in your root directory, it may
reference any URL in your site. However, if your sitemap lives at
/content/sitemap.xml, it may only reference URLs that begin with
/content/.
The sitemap view takes an extra, required argument: {'sitemaps':
sitemaps}. sitemaps should be a dictionary that maps a short section
label (e.g., blog or news) to its Sitemap class (e.g.,
BlogSitemap or NewsSitemap). It may also map to an instance of a
Sitemap class (e.g., BlogSitemap(some_var)).
Sitemap Classes
A Sitemap class is a simple Python class that represents a “section” of
entries in your sitemap. For example, one Sitemap class could represent
all the entries of your weblog, while another could represent all of the
events in your events calendar.
In the simplest case, all these sections get lumped together into one
sitemap.xml, but it’s also possible to use the framework to generate a
sitemap index that references individual sitemap files, one per section
(as described shortly).
Sitemap classes must subclass django.contrib.sitemaps.Sitemap. They
can live anywhere in your code tree.
For example, let’s assume you have a blog system, with an Entry model, and
you want your sitemap to include all the links to your individual blog
entries. Here’s how your Sitemap class might look:
from django.contrib.sitemaps import Sitemap
from mysite.blog.models import Entry
class BlogSitemap(Sitemap):
changefreq = "never"
priority = 0.5
def items(self):
return Entry.objects.filter(is_draft=False)
def lastmod(self, obj):
return obj.pub_date
Declaring a Sitemap should look very similar to declaring a Feed.
That’s by design.
Like Feed classes, Sitemap members can be either methods or
attributes. See the steps in the earlier “A Complex Example” section for more
about how this works.
A Sitemap class can define the following methods/attributes:
items (required): Provides list of objects. The framework
doesn’t care what type of objects they are; all that matters is that
these objects get passed to the location(), lastmod(),
changefreq(), and priority() methods.
location (optional): Gives the absolute URL for a given object.
Here, “absolute URL” means a URL that doesn’t include the protocol or
domain. Here are some examples:
- Good: '/foo/bar/'
- Bad: 'example.com/foo/bar/'
- Bad: 'http://example.com/foo/bar/'
If location isn’t provided, the framework will call the
get_absolute_url() method on each object as returned by
items().
lastmod (optional): The object’s “last modification” date, as a
Python datetime object.
changefreq (optional): How often the object changes. Possible values
(as given by the Sitemaps specification) are as follows:
- 'always'
- 'hourly'
- 'daily'
- 'weekly'
- 'monthly'
- 'yearly'
- 'never'
priority (optional): A suggested indexing priority between 0.0
and 1.0. The default priority of a page is 0.5; see the
http://sitemaps.org/ documentation for more about how priority works.
Shortcuts
The sitemap framework provides a couple convenience classes for common cases. These
are described in the sections that follow.
FlatPageSitemap
The django.contrib.sitemaps.FlatPageSitemap class looks at all flat pages
defined for the current site and creates an entry in the sitemap. These
entries include only the location attribute – not lastmod,
changefreq, or priority.
See Chapter 16 for more about flat pages.
GenericSitemap
The GenericSitemap class works with any generic views (see Chapter 11) you
already have.
To use it, create an instance, passing in the same info_dict you pass to
the generic views. The only requirement is that the dictionary have a
queryset entry. It may also have a date_field entry that specifies a
date field for objects retrieved from the queryset. This will be used for
the lastmod attribute in the generated sitemap. You may also pass
priority and changefreq keyword arguments to the GenericSitemap
constructor to specify these attributes for all URLs.
Here’s an example of a URLconf using both FlatPageSitemap and
GenericSiteMap (with the hypothetical Entry object from earlier):
from django.conf.urls.defaults import *
from django.contrib.sitemaps import FlatPageSitemap, GenericSitemap
from mysite.blog.models import Entry
info_dict = {
'queryset': Entry.objects.all(),
'date_field': 'pub_date',
}
sitemaps = {
'flatpages': FlatPageSitemap,
'blog': GenericSitemap(info_dict, priority=0.6),
}
urlpatterns = patterns('',
# some generic view using info_dict
# ...
# the sitemap
(r'^sitemap\.xml$',
'django.contrib.sitemaps.views.sitemap',
{'sitemaps': sitemaps})
)
Creating a Sitemap Index
The sitemap framework also has the ability to create a sitemap index that
references individual sitemap files, one per each section defined in your
sitemaps dictionary. The only differences in usage are as follows:
- You use two views in your URLconf:
django.contrib.sitemaps.views.index and
django.contrib.sitemaps.views.sitemap.
- The django.contrib.sitemaps.views.sitemap view should take a
section keyword argument.
Here is what the relevant URLconf lines would look like for the previous example:
(r'^sitemap.xml$',
'django.contrib.sitemaps.views.index',
{'sitemaps': sitemaps}),
(r'^sitemap-(?P<section>.+).xml$',
'django.contrib.sitemaps.views.sitemap',
{'sitemaps': sitemaps})
This will automatically generate a sitemap.xml file that references both
sitemap-flatpages.xml and sitemap-blog.xml. The Sitemap classes
and the sitemaps dictionary don’t change at all.
Pinging Google
You may want to “ping” Google when your sitemap changes, to let it know to
reindex your site. The framework provides a function to do just that:
django.contrib.sitemaps.ping_google().
ping_google() takes an optional argument, sitemap_url, which should be
the absolute URL of your site’s sitemap (e.g., '/sitemap.xml'). If this
argument isn’t provided, ping_google() will attempt to figure out your
sitemap by performing a reverse lookup on your URLconf.
ping_google() raises the exception
django.contrib.sitemaps.SitemapNotFound if it cannot determine your
sitemap URL.
One useful way to call ping_google() is from a model’s save() method:
from django.contrib.sitemaps import ping_google
class Entry(models.Model):
# ...
def save(self, *args, **kwargs):
super(Entry, self).save(*args, **kwargs)
try:
ping_google()
except Exception:
# Bare 'except' because we could get a variety
# of HTTP-related exceptions.
pass
A more efficient solution, however, would be to call ping_google() from a
cron script or some other scheduled task. The function makes an HTTP
request to Google’s servers, so you may not want to introduce that network
overhead each time you call save().
Finally, if 'django.contrib.sitemaps' is in your INSTALLED_APPS, then
your manage.py will include a new command, ping_google. This is useful
for command-line access to pinging. For example:
python manage.py ping_google /sitemap.xml
What’s Next?
Next, we’ll continue to dig deeper into the built-in tools Django gives you.
Chapter 14 looks at all the tools you need to provide user-customized
sites: sessions, users, and authentication.
Chapter 14: Sessions, Users, and Registration
It’s time for a confession: we’ve been deliberately ignoring an important
aspect of Web development prior to this point. So far, we’ve thought of the
traffic visiting our sites as some faceless, anonymous mass hurtling itself
against our carefully designed pages.
This isn’t true, of course. The browsers hitting our sites have real humans
behind them (most of the time, at least). That’s a big thing to ignore: the
Internet is at its best when it serves to connect people, not machines. If
we’re going to develop truly compelling sites, eventually we’re going to have
to deal with the bodies behind the browsers.
Unfortunately, it’s not all that easy. HTTP is designed to be stateless–
that is, each and every request happens in a vacuum. There’s no persistence
between one request and the next, and we can’t count on any aspects of a
request (IP address, user agent, etc.) to consistently indicate successive
requests from the same person.
In this chapter you’ll learn how to handle this lack of state. We’ll start at
the lowest level (cookies), and work up to the high-level tools for handling
sessions, users and registration.
Cookies
Browser developers long ago recognized that HTTP’s statelessness poses a huge
problem for Web developers, and thus cookies were born. A cookie is a
small piece of information that browsers store on behalf of Web servers. Every
time a browser requests a page from a certain server, it gives back the cookie
that it initially received.
Let’s take a look how this might work. When you open your browser and type in
google.com, your browser sends an HTTP request to Google that starts
something like this:
GET / HTTP/1.1
Host: google.com
...
When Google replies, the HTTP response looks something like the following:
HTTP/1.1 200 OK
Content-Type: text/html
Set-Cookie: PREF=ID=5b14f22bdaf1e81c:TM=1167000671:LM=1167000671;
expires=Sun, 17-Jan-2038 19:14:07 GMT;
path=/; domain=.google.com
Server: GWS/2.1
...
Notice the Set-Cookie header. Your browser will store that cookie value
(PREF=ID=5b14f22bdaf1e81c:TM=1167000671:LM=1167000671) and serve it back
to Google every time you access the site. So the next time you access Google,
your browser is going to send a request like this:
GET / HTTP/1.1
Host: google.com
Cookie: PREF=ID=5b14f22bdaf1e81c:TM=1167000671:LM=1167000671
...
Google then can use that Cookie value to know that you’re the same person
who accessed the site earlier. This value might, for example, be a key into a
database that stores user information. Google could (and does) use it to
display your account’s username on the page.
Getting and Setting Cookies
When dealing with persistence in Django, most of the time you’ll want to use the
higher-level session and/or user frameworks discussed a little later in this
chapter. However, first look at how to read and write cookies at a low
level. This should help you understand how the rest of the tools discussed in
the chapter actually work, and it will come in handy if you ever need to play
with cookies directly.
Reading cookies that are already set is simple. Every HttpRequest
object has a COOKIES object that acts like a dictionary; you can use it to
read any cookies that the browser has sent to the view:
def show_color(request):
if "favorite_color" in request.COOKIES:
return HttpResponse("Your favorite color is %s" % \
request.COOKIES["favorite_color"])
else:
return HttpResponse("You don't have a favorite color.")
Writing cookies is slightly more complicated. You need to use the
set_cookie() method on an HttpResponse object. Here’s an example that
sets the favorite_color cookie based on a GET parameter:
def set_color(request):
if "favorite_color" in request.GET:
# Create an HttpResponse object...
response = HttpResponse("Your favorite color is now %s" % \
request.GET["favorite_color"])
# ... and set a cookie on the response
response.set_cookie("favorite_color",
request.GET["favorite_color"])
return response
else:
return HttpResponse("You didn't give a favorite color.")
You can also pass a number of optional arguments to response.set_cookie()
that control aspects of the cookie, as shown in Table 14-1.
Table 14-1: Cookie options
Parameter |
Default |
Description |
max_age |
None |
Age (in seconds) that the cookie should last.
If this parameter is None, the cookie will
last only until the browser is closed. |
expires |
None |
The actual date/time when the cookie should
expire. It needs to be in the format "Wdy,
DD-Mth-YY HH:MM:SS GMT". If given, this
parameter overrides the max_age parameter. |
path |
"/" |
The path prefix that this cookie is valid for.
Browsers will only pass the cookie back to
pages below this path prefix, so you can use
this to prevent cookies from being sent to
other sections of your site.
This is especially useful when you don’t
control the top level of your site’s domain.
|
domain |
None |
The domain that this cookie is valid for. You
can use this parameter to set a cross-domain
cookie. For example, domain=".example.com"
will set a cookie that is readable by the
domains www.example.com,
www2.example.com, and
an.other.sub.domain.example.com.
If this parameter is set to None, a cookie
will only be readable by the domain that set it.
|
secure |
False |
If set to True, this parameter instructs the
browser to only return this cookie to pages
accessed over HTTPS. |
The Mixed Blessing of Cookies
You might notice a number of potential problems with the way cookies work.
Let’s look at some of the more important ones:
Storage of cookies is voluntary; a client does not have to accept or
store cookies. In fact, all browsers enable users to control the policy
for accepting cookies. If you want to see just how vital cookies are to
the Web, try turning on your browser’s “prompt to accept every cookie”
option.
Despite their nearly universal use, cookies are still the definition of
unreliability. This means that developers should check that a user
actually accepts cookies before relying on them.
Cookies (especially those not sent over HTTPS) are not secure. Because
HTTP data is sent in cleartext, cookies are extremely vulnerable to
snooping attacks. That is, an attacker snooping on the wire can intercept
a cookie and read it. This means you should never store sensitive
information in a cookie.
There’s an even more insidious attack, known as a man-in-the-middle
attack, wherein an attacker intercepts a cookie and uses it to pose as
another user. Chapter 20 discusses attacks of this nature in depth, as
well as ways to prevent it.
Cookies aren’t even secure from their intended recipients. Most browsers
provide easy ways to edit the content of individual cookies, and
resourceful users can always use tools like mechanize
(http://wwwsearch.sourceforge.net/mechanize/) to construct HTTP requests
by hand.
So you can’t store data in cookies that might be sensitive to tampering.
The canonical mistake in this scenario is storing something like
IsLoggedIn=1 in a cookie when a user logs in. You’d be amazed at the
number of sites that make mistakes of this nature; it takes only a
second to fool these sites’ “security” systems.
Django’s Session Framework
With all of these limitations and potential security holes, it’s obvious that
cookies and persistent sessions are examples of those “pain points” in Web
development. Of course, Django’s goal is to be an effective painkiller, so
it comes with a session framework designed to smooth over these
difficulties for you.
This session framework lets you store and retrieve arbitrary data on a
per-site visitor basis. It stores data on the server side and abstracts the
sending and receiving of cookies. Cookies use only a hashed session ID – not
the data itself – thus protecting you from most of the common cookie
problems.
Let’s look at how to enable sessions and use them in views.
Enabling Sessions
Sessions are implemented via a piece of middleware (see Chapter 17) and a Django
model. To enable sessions, you’ll need to follow these steps:
- Edit your MIDDLEWARE_CLASSES setting and make sure
MIDDLEWARE_CLASSES contains
'django.contrib.sessions.middleware.SessionMiddleware'.
- Make sure 'django.contrib.sessions' is in your INSTALLED_APPS
setting (and run manage.py syncdb if you have to add it).
The default skeleton settings created by startproject have both of these
bits already installed, so unless you’ve removed them, you probably don’t have
to change anything to get sessions to work.
If you don’t want to use sessions, you might want to remove the
SessionMiddleware line from MIDDLEWARE_CLASSES and
'django.contrib.sessions' from your INSTALLED_APPS. It will save
you only a small amount of overhead, but every little bit counts.
Using Sessions in Views
When SessionMiddleware is activated, each HttpRequest object – the
first argument to any Django view function – will have a session
attribute, which is a dictionary-like object. You can read it and write to it
in the same way you’d use a normal dictionary. For example, in a view
you could do stuff like this:
# Set a session value:
request.session["fav_color"] = "blue"
# Get a session value -- this could be called in a different view,
# or many requests later (or both):
fav_color = request.session["fav_color"]
# Clear an item from the session:
del request.session["fav_color"]
# Check if the session has a given key:
if "fav_color" in request.session:
...
You can also use other dictionary methods like keys() and items() on
request.session.
There are a couple of simple rules for using Django’s sessions effectively:
Use normal Python strings as dictionary keys on request.session (as
opposed to integers, objects, etc.).
Session dictionary keys that begin with an underscore are reserved for
internal use by Django. In practice, the framework uses only a small
number of underscore-prefixed session variables, but unless you know what
they all are (and you are willing to keep up with any changes in Django
itself), staying away from underscore prefixes will keep Django from
interfering with your application.
For example, don’t use a session key called _fav_color, like
this:
request.session['_fav_color'] = 'blue' # Don't do this!
Don’t replace request.session with a new object, and don’t access or
set its attributes. Use it like a Python dictionary. Examples:
request.session = some_other_object # Don't do this!
request.session.foo = 'bar' # Don't do this!
Let’s take a look at a few quick examples. This simplistic view sets a
has_commented variable to True after a user posts a comment. It’s a
simple (if not particularly secure) way of preventing a user from
posting more than one comment:
def post_comment(request):
if request.method != 'POST':
raise Http404('Only POSTs are allowed')
if 'comment' not in request.POST:
raise Http404('Comment not submitted')
if request.session.get('has_commented', False):
return HttpResponse("You've already commented.")
c = comments.Comment(comment=request.POST['comment'])
c.save()
request.session['has_commented'] = True
return HttpResponse('Thanks for your comment!')
This simplistic view logs in a “member” of the site:
def login(request):
if request.method != 'POST':
raise Http404('Only POSTs are allowed')
try:
m = Member.objects.get(username=request.POST['username'])
if m.password == request.POST['password']:
request.session['member_id'] = m.id
return HttpResponseRedirect('/you-are-logged-in/')
except Member.DoesNotExist:
return HttpResponse("Your username and password didn't match.")
And this one logs out a member who has been logged in via login() above:
def logout(request):
try:
del request.session['member_id']
except KeyError:
pass
return HttpResponse("You're logged out.")
Note
In practice, this is a lousy way of logging users in. The authentication
framework discussed shortly handles this task for you in a much more robust
and useful manner. These examples are deliberately simplistic so that you
can easily see what’s going on.
Setting Test Cookies
As mentioned above, you can’t rely on every browser accepting cookies. So, as
a convenience, Django provides an easy way to test whether a user’s browser
accepts cookies. Just call request.session.set_test_cookie() in a view, and
check request.session.test_cookie_worked() in a subsequent view – not in
the same view call.
This awkward split between set_test_cookie() and test_cookie_worked()
is necessary due to the way cookies work. When you set a cookie, you can’t
actually tell whether a browser accepted it until the browser’s next request.
It’s good practice to use delete_test_cookie() to clean up after yourself.
Do this after you’ve verified that the test cookie worked.
Here’s a typical usage example:
def login(request):
# If we submitted the form...
if request.method == 'POST':
# Check that the test cookie worked (we set it below):
if request.session.test_cookie_worked():
# The test cookie worked, so delete it.
request.session.delete_test_cookie()
# In practice, we'd need some logic to check username/password
# here, but since this is an example...
return HttpResponse("You're logged in.")
# The test cookie failed, so display an error message. If this
# were a real site, we'd want to display a friendlier message.
else:
return HttpResponse("Please enable cookies and try again.")
# If we didn't post, send the test cookie along with the login form.
request.session.set_test_cookie()
return render(request, 'foo/login_form.html')
Note
Again, the built-in authentication functions handle this check for you.
Using Sessions Outside of Views
Internally, each session is just a normal Django model defined in
django.contrib.sessions.models. Each session is identified by a more-or-less
random 32-character hash stored in a cookie. Because it’s a normal model, you
can access sessions using the normal Django database API:
>>> from django.contrib.sessions.models import Session
>>> s = Session.objects.get(pk='2b1189a188b44ad18c35e113ac6ceead')
>>> s.expire_date
datetime.datetime(2005, 8, 20, 13, 35, 12)
You’ll need to call get_decoded() to get the actual session data. This is
necessary because the dictionary is stored in an encoded format:
>>> s.session_data
'KGRwMQpTJ19hdXRoX3VzZXJfaWQnCnAyCkkxCnMuMTExY2ZjODI2Yj...'
>>> s.get_decoded()
{'user_id': 42}
When Sessions Are Saved
By default, Django only saves to the database if the session has been modified
– that is, if any of its dictionary values have been assigned or deleted:
# Session is modified.
request.session['foo'] = 'bar'
# Session is modified.
del request.session['foo']
# Session is modified.
request.session['foo'] = {}
# Gotcha: Session is NOT modified, because this alters
# request.session['foo'] instead of request.session.
request.session['foo']['bar'] = 'baz'
To change this default behavior, set SESSION_SAVE_EVERY_REQUEST
to True. If SESSION_SAVE_EVERY_REQUEST is True, Django
will save the session to the database on every single request, even if it
wasn’t changed.
Note that the session cookie is sent only when a session has been created or
modified. If SESSION_SAVE_EVERY_REQUEST is True, the session cookie
will be sent on every request. Similarly, the expires part of a session
cookie is updated each time the session cookie is sent.
Browser-Length Sessions vs. Persistent Sessions
You might have noticed that the cookie Google sent us at the beginning of this
chapter contained expires=Sun, 17-Jan-2038 19:14:07 GMT;. Cookies can
optionally contain an expiration date that advises the browser on when to
remove the cookie. If a cookie doesn’t contain an expiration value, the browser
will expire it when the user closes his or her browser window. You can control
the session framework’s behavior in this regard with the
SESSION_EXPIRE_AT_BROWSER_CLOSE setting.
By default, SESSION_EXPIRE_AT_BROWSER_CLOSE is set to False, which means
session cookies will be stored in users’ browsers for SESSION_COOKIE_AGE
seconds (which defaults to two weeks, or 1,209,600 seconds). Use this if you
don’t want people to have to log in every time they open a browser.
If SESSION_EXPIRE_AT_BROWSER_CLOSE is set to True, Django will use
browser-length cookies.
Other Session Settings
Besides the settings already mentioned, a few other settings
influence how Django’s session framework uses cookies, as shown in Table 14-2.
Table 14-2. Settings that influence cookie behavior
Setting |
Description |
Default |
SESSION_COOKIE_DOMAIN |
The domain to use for session
cookies. Set this to a string
such as ".example.com"
for cross-domain cookies, or
use None for a standard
cookie. |
None |
SESSION_COOKIE_NAME |
The name of the cookie to use
for sessions. This can be any
string. |
"sessionid" |
SESSION_COOKIE_SECURE |
Whether to use a “secure”
cookie for the session
cookie. If this is set to
True, the cookie will be
marked as “secure,” which
means that browsers will
ensure that the cookie is
only sent via HTTPS. |
False |
Technical Details
For the curious, here are a few technical notes about the inner workings
of the session framework:
The session dictionary accepts any Python object capable of being
“pickled.” See the documentation for Python’s built-in pickle
module for information about how this works.
Session data is stored in a database table named django_session.
Session data is fetched upon demand. If you never access
request.session, Django won’t hit that database table.
Django only sends a cookie if it needs to. If you don’t set any
session data, it won’t send a session cookie (unless
SESSION_SAVE_EVERY_REQUEST is set to True).
The Django sessions framework is entirely, and solely, cookie based.
It does not fall back to putting session IDs in URLs as a last
resort, as some other tools (PHP, JSP) do.
This is an intentional design decision. Putting sessions in URLs
don’t just make URLs ugly, but also make your site vulnerable to a
certain form of session ID theft via the Referer header.
If you’re still curious, the source is pretty straightforward; look in
django.contrib.sessions for more details.
Users and Authentication
Sessions give us a way of persisting data through multiple browser requests;
the second part of the equation is using those sessions for user login. Of
course, we can’t just trust that users are who they say they are, so we need
to authenticate them along the way.
Naturally, Django provides tools to handle this common task (and many others).
Django’s user authentication system handles user accounts, groups, permissions,
and cookie-based user sessions. This system is often referred to as an
auth/auth (authentication and authorization) system. That name recognizes
that dealing with users is often a two-step process. We need to
- Verify (authenticate) that a user is who he or she claims to be
(usually by checking a username and password against a database of users)
- Verify that the user is authorized to perform some given operation
(usually by checking against a table of permissions)
Following these needs, Django’s auth/auth system consists of a number of
parts:
- Users: People registered with your site
- Permissions: Binary (yes/no) flags designating whether a user may
perform a certain task
- Groups: A generic way of applying labels and permissions to more than
one user
- Messages: A simple way to queue and display system messages to users
If you’ve used the admin tool (discussed in Chapter 6), you’ve already seen many
of these tools, and if you’ve edited users or groups in the admin tool, you’ve
actually been editing data in the auth system’s database tables.
Enabling Authentication Support
Like the session tools, authentication support is bundled as a Django
application in django.contrib that needs to be installed. Also like the
session tools, it’s also installed by default, but if you’ve removed it, you’ll
need to follow these steps to install it:
- Make sure the session framework is installed as described earlier in this
chapter. Keeping track of users obviously requires cookies, and thus
builds on the session framework.
- Put 'django.contrib.auth' in your INSTALLED_APPS setting and
run manage.py syncdb to install the appropriate database tables.
- Make sure that
'django.contrib.auth.middleware.AuthenticationMiddleware' is in
your MIDDLEWARE_CLASSES setting – after SessionMiddleware.
With that installation out of the way, we’re ready to deal with users in view
functions. The main interface you’ll use to access users within a view is
request.user; this is an object that represents the currently logged-in
user. If the user isn’t logged in, this will instead be an AnonymousUser
object (see below for more details).
You can easily tell if a user is logged in with the is_authenticated()
method:
if request.user.is_authenticated():
# Do something for authenticated users.
else:
# Do something for anonymous users.
Using Users
Once you have a User – often from request.user, but possibly through
one of the other methods discussed shortly – you have a number of fields and
methods available on that object. AnonymousUser objects emulate some of
this interface, but not all of it, so you should always check
user.is_authenticated() before assuming you’re dealing with a bona fide user
object. Tables 14-3 and 14-4 list the fields and methods, respectively, on User objects.
Table 14-3. Fields on User Objects
Field |
Description |
username |
Required; 30 characters or fewer. Alphanumeric
characters only (letters, digits, and underscores). |
first_name |
Optional; 30 characters or fewer. |
last_name |
Optional; 30 characters or fewer. |
email |
Optional. E-mail address. |
password |
Required. A hash of, and metadata about, the password
(Django doesn’t store the raw password). See the
“Passwords” section for more about this value. |
is_staff |
Boolean. Designates whether this user can access the
admin site. |
is_active |
Boolean. Designates whether this account can be used
to log in. Set this flag to False instead of
deleting accounts. |
is_superuser |
Boolean. Designates that this user has all permissions
without explicitly assigning them. |
last_login |
A datetime of the user’s last login. This is set to the
current date/time by default. |
date_joined |
A datetime designating when the account was created.
This is set to the current date/time by default when the
account is created. |
Table 14-4. Methods on User Objects
Method |
Description |
is_authenticated() |
Always returns True for “real”
User objects. This is a way to tell if
the user has been authenticated. This does
not imply any permissions, and it doesn’t
check if the user is active. It only
indicates that the user has sucessfully
authenticated. |
is_anonymous() |
Returns True only for
AnonymousUser objects (and False
for “real” User objects). Generally,
you should prefer using
is_authenticated() to this method. |
get_full_name() |
Returns the first_name plus the
last_name, with a space in between. |
set_password(passwd) |
Sets the user’s password to the given
raw string, taking care of the password
hashing. This doesn’t actually save the
User object. |
check_password(passwd) |
Returns True if the given raw
string is the correct password for the
user. This takes care of the password
hashing in making the comparison. |
get_group_permissions() |
Returns a list of permission strings that
the user has through the groups he or she
belongs to. |
get_all_permissions() |
Returns a list of permission strings that
the user has, both through group and user
permissions. |
has_perm(perm) |
Returns True if the user has the
specified permission, where perm is in
the format "package.codename". If the
user is inactive, this method will always
return False. |
has_perms(perm_list) |
Returns True if the user has all of
the specified permissions. If the user is
inactive, this method will always return
False. |
has_module_perms(app_label) |
Returns True if the user has
any permissions in the given app_label.
If the user is inactive, this method will
always return False. |
get_and_delete_messages() |
Returns a list of Message objects in
the user’s queue and deletes the messages
from the queue. |
email_user(subj, msg) |
Sends an email to the user. This email
is sent from the DEFAULT_FROM_EMAIL
setting. You can also pass a third
argument, from_email, to override the
From address on the email. |
Finally, User objects have two many-to-many fields: groups and
permissions. User objects can access their related objects in the same
way as any other many-to-many field:
# Set a user's groups:
myuser.groups = group_list
# Add a user to some groups:
myuser.groups.add(group1, group2,...)
# Remove a user from some groups:
myuser.groups.remove(group1, group2,...)
# Remove a user from all groups:
myuser.groups.clear()
# Permissions work the same way
myuser.permissions = permission_list
myuser.permissions.add(permission1, permission2, ...)
myuser.permissions.remove(permission1, permission2, ...)
myuser.permissions.clear()
Logging In and Out
Django provides built-in view functions for handling logging in and out (and a
few other nifty tricks), but before we get to those, let’s take a look at how
to log users in and out “by hand.” Django provides two functions to perform
these actions in django.contrib.auth: authenticate() and login().
To authenticate a given username and password, use authenticate(). It
takes two keyword arguments, username and password, and it returns a
User object if the password is valid for the given username. If the
password is invalid, authenticate() returns None:
>>> from django.contrib import auth
>>> user = auth.authenticate(username='john', password='secret')
>>> if user is not None:
... print "Correct!"
... else:
... print "Invalid password."
authenticate() only verifies a user’s credentials. To log in a user, use
login(). It takes an HttpRequest object and a User object and saves
the user’s ID in the session, using Django’s session framework.
This example shows how you might use both authenticate() and login()
within a view function:
from django.contrib import auth
def login_view(request):
username = request.POST.get('username', '')
password = request.POST.get('password', '')
user = auth.authenticate(username=username, password=password)
if user is not None and user.is_active:
# Correct password, and the user is marked "active"
auth.login(request, user)
# Redirect to a success page.
return HttpResponseRedirect("/account/loggedin/")
else:
# Show an error page
return HttpResponseRedirect("/account/invalid/")
To log out a user, use django.contrib.auth.logout() within your view. It
takes an HttpRequest object and has no return value:
from django.contrib import auth
def logout_view(request):
auth.logout(request)
# Redirect to a success page.
return HttpResponseRedirect("/account/loggedout/")
Note that auth.logout() doesn’t throw any errors if the user wasn’t logged
in.
In practice, you usually will not need to write your own login/logout functions;
the authentication system comes with a set of views for generically handling
logging in and out. The first step in using these authentication views is to
wire them up in your URLconf. You’ll need to add this snippet:
from django.contrib.auth.views import login, logout
urlpatterns = patterns('',
# existing patterns here...
(r'^accounts/login/$', login),
(r'^accounts/logout/$', logout),
)
/accounts/login/ and /accounts/logout/ are the default URLs that
Django uses for these views.
By default, the login view renders a template at
registration/login.html (you can change this template name by passing an
extra view argument ,``template_name``). This form needs to contain a
username and a password field. A simple template might look like this:
{% extends "base.html" %}
{% block content %}
{% if form.errors %}
<p class="error">Sorry, that's not a valid username or password</p>
{% endif %}
<form action="" method="post">
<label for="username">User name:</label>
<input type="text" name="username" value="" id="username">
<label for="password">Password:</label>
<input type="password" name="password" value="" id="password">
<input type="submit" value="login" />
<input type="hidden" name="next" value="{{ next|escape }}" />
</form>
{% endblock %}
If the user successfully logs in, he or she will be redirected to
/accounts/profile/ by default. You can override this by providing a hidden
field called next with the URL to redirect to after logging in. You can
also pass this value as a GET parameter to the login view and it will be
automatically added to the context as a variable called next that you can
insert into that hidden field.
The logout view works a little differently. By default it renders a template
at registration/logged_out.html (which usually contains a “You’ve
successfully logged out” message). However, you can call the view with an
extra argument, next_page, which will instruct the view to redirect after
a logout.
Limiting Access to Logged-in Users
Of course, the reason we’re going through all this trouble is so we can
limit access to parts of our site.
The simple, raw way to limit access to pages is to check
request.user.is_authenticated() and redirect to a login page:
from django.http import HttpResponseRedirect
def my_view(request):
if not request.user.is_authenticated():
return HttpResponseRedirect('/accounts/login/?next=%s' % request.path)
# ...
or perhaps display an error message:
def my_view(request):
if not request.user.is_authenticated():
return render(request, 'myapp/login_error.html')
# ...
As a shortcut, you can use the convenient login_required decorator:
from django.contrib.auth.decorators import login_required
@login_required
def my_view(request):
# ...
login_required does the following:
- If the user isn’t logged in, redirect to /accounts/login/, passing
the current URL path in the query string as next, for example:
/accounts/login/?next=/polls/3/.
- If the user is logged in, execute the view normally. The view code
can then assume that the user is logged in.
Limiting Access to Users Who Pass a Test
Limiting access based on certain permissions or some other test, or providing
a different location for the login view works essentially the same way.
The raw way is to run your test on request.user in the view directly. For
example, this view checks to make sure the user is logged in and has the
permission polls.can_vote (more about how permissions
works follows):
def vote(request):
if request.user.is_authenticated() and request.user.has_perm('polls.can_vote')):
# vote here
else:
return HttpResponse("You can't vote in this poll.")
Again, Django provides a shortcut called user_passes_test. It
takes arguments and generates a specialized decorator for your particular
situation:
def user_can_vote(user):
return user.is_authenticated() and user.has_perm("polls.can_vote")
@user_passes_test(user_can_vote, login_url="/login/")
def vote(request):
# Code here can assume a logged-in user with the correct permission.
...
user_passes_test takes one required argument: a callable that takes a
User object and returns True if the user is allowed to view the page.
Note that user_passes_test does not automatically check that the User
is authenticated; you should do that yourself.
In this example we’re also showing the second (optional) argument,
login_url, which lets you specify the URL for your login page
(/accounts/login/ by default). If the user doesn’t pass the test, then
the user_passes_test decorator will redirect the user to the login_url.
Because it’s a relatively common task to check whether a user has a particular
permission, Django provides a shortcut for that case: the
permission_required() decorator. Using this decorator, the earlier example
can be written as follows:
from django.contrib.auth.decorators import permission_required
@permission_required('polls.can_vote', login_url="/login/")
def vote(request):
# ...
Note that permission_required() also takes an optional login_url
parameter, which also defaults to '/accounts/login/'.
Limiting Access to Generic Views
One of the most frequently asked questions on the Django users list deals
with limiting access to a generic view. To pull this off, you’ll need to
write a thin wrapper around the view and point your URLconf to your wrapper
instead of the generic view itself:
from django.contrib.auth.decorators import login_required
from django.views.generic.date_based import object_detail
@login_required
def limited_object_detail(*args, **kwargs):
return object_detail(*args, **kwargs)
You can, of course, replace login_required with any of the other
limiting decorators.
Managing Users, Permissions, and Groups
The easiest way by far to manage the auth system is through the admin interface.
Chapter 6 discusses how to use Django’s admin site to edit users and
control their permissions and access, and most of the time you’ll just use that
interface.
However, there are low-level APIs you can dive into when you need absolute
control, and we discuss these in the sections that follow.
Creating Users
Create users with the create_user helper function:
>>> from django.contrib.auth.models import User
>>> user = User.objects.create_user(username='john',
... email='jlennon@beatles.com',
... password='glass onion')
At this point, user is a User instance ready to be saved to the database
(create_user() doesn’t actually call save() itself). You can continue to
change its attributes before saving, too:
>>> user.is_staff = True
>>> user.save()
Changing Passwords
You can change a password with set_password():
>>> user = User.objects.get(username='john')
>>> user.set_password('goo goo goo joob')
>>> user.save()
Don’t set the password attribute directly unless you know what you’re
doing. The password is actually stored as a salted hash and thus can’t be
edited directly.
More formally, the password attribute of a User object is a string in
this format:
That’s a hash type, the salt, and the hash itself, separated by the dollar sign
($) character.
hashtype is either sha1 (default) or md5, the algorithm used to
perform a one-way hash of the password. salt is a random string used to salt
the raw password to create the hash, for example:
sha1$a1976$a36cc8cbf81742a8fb52e221aaeab48ed7f58ab4
The User.set_password() and User.check_password() functions handle the
setting and checking of these values behind the scenes.
Salted hashes
A hash is a one-way cryptographic function – that is, you can easily
compute the hash of a given value, but it’s nearly impossible to take a
hash and reconstruct the original value.
If we stored passwords as plain text, anyone who got their hands on the
password database would instantly know everyone’s password. Storing
passwords as hashes reduces the value of a compromised database.
However, an attacker with the password database could still run a brute-
force attack, hashing millions of passwords and comparing those hashes
against the stored values. This takes some time, but less than you might
think.
Worse, there are publicly available rainbow tables, or databases of
pre-computed hashes of millions of passwords. With a rainbow table, an
experienced attacker could break most passwords in seconds.
Adding a salt – basically an initial random value – to the stored hash
adds another layer of difficulty to breaking passwords. Because salts
differ from password to password, they also prevent the use of a rainbow
table, thus forcing attackers to fall back on a brute-force attack, itself
made more difficult by the extra entropy added to the hash by the salt.
While salted hashes aren’t absolutely the most secure way of storing
passwords, they’re a good middle ground between security and convenience.
Handling Registration
We can use these low-level tools to create views that allow users to sign up
for new accounts. Different developers implement registration differently, so
Django leaves writing a registration view up to you. Luckily, it’s pretty easy.
At its simplest, we could provide a small view that prompts for the required
user information and creates those users. Django provides a built-in form you
can use for this purpose, which we’ll use in this example:
from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.http import HttpResponseRedirect
from django.shortcuts import render
def register(request):
if request.method == 'POST':
form = UserCreationForm(request.POST)
if form.is_valid():
new_user = form.save()
return HttpResponseRedirect("/books/")
else:
form = UserCreationForm()
return render(request, "registration/register.html", {
'form': form,
})
This form assumes a template named registration/register.html. Here’s an
example of what that template might look like:
{% extends "base.html" %}
{% block title %}Create an account{% endblock %}
{% block content %}
<h1>Create an account</h1>
<form action="" method="post">
{{ form.as_p }}
<input type="submit" value="Create the account">
</form>
{% endblock %}
Using Authentication Data in Templates
The current logged-in user and his or her permissions are made available in the
template context when you use the render() shortcut or explicitly use a
RequestContext (see Chapter 9).
Note
Technically, these variables are only made available in the template
context if you use RequestContext and your
TEMPLATE_CONTEXT_PROCESSORS setting contains
"django.core.context_processors.auth", which is the default. Again, see
Chapter 9 for more information.
When using RequestContext, the current user (either a User instance
or an AnonymousUser instance) is stored in the template variable
{{ user }}:
{% if user.is_authenticated %}
<p>Welcome, {{ user.username }}. Thanks for logging in.</p>
{% else %}
<p>Welcome, new user. Please log in.</p>
{% endif %}
This user’s permissions are stored in the template variable {{ perms }}.
This is a template-friendly proxy to a couple of permission methods described
shortly.
There are two ways you can use this perms object. You can use something like
{% if perms.polls %} to check if the user has any permissions for some given
application, or you can use something like {% if perms.polls.can_vote %} to
check if the user has a specific permission.
Thus, you can check permissions in template {% if %} statements:
{% if perms.polls %}
<p>You have permission to do something in the polls app.</p>
{% if perms.polls.can_vote %}
<p>You can vote!</p>
{% endif %}
{% else %}
<p>You don't have permission to do anything in the polls app.</p>
{% endif %}
Permissions, Groups and Messages
There are a few other bits of the authentication framework that we’ve only dealt
with in passing. We’ll take a closer look at them in the following sections.
Permissions
Permissions are a simple way to “mark” users and groups as being able to
perform some action. They are usually used by the Django admin site, but you can
easily use them in your own code.
The Django admin site uses permissions as follows:
- Access to view the “add” form, and add an object is limited to users with
the add permission for that type of object.
- Access to view the change list, view the “change” form, and change an
object is limited to users with the change permission for that type of
object.
- Access to delete an object is limited to users with the delete
permission for that type of object.
Permissions are set globally per type of object, not per specific object
instance. For example, it’s possible to say “Mary may change news stories,”
but permissions don’t let you say “Mary may change news stories, but only
the ones she created herself” or “Mary may only change news stories that have
a certain status, publication date, or ID.”
These three basic permissions – add, change, and delete – are automatically
created for each Django model. Behind the scenes, these permissions are added
to the auth_permission database table when you run manage.py syncdb.
These permissions will be of the form "<app>.<action>_<object_name>". That
is, if you have a polls application with a Choice model, you’ll get
permissions named "polls.add_choice", "polls.change_choice", and
"polls.delete_choice".
Just like users, permissions are implemented in a Django model that lives in
django.contrib.auth.models. This means that you can use Django’s database
API to interact directly with permissions if you like.
Groups
Groups are a generic way of categorizing users so you can apply permissions,
or some other label, to those users. A user can belong to any number of
groups.
A user in a group automatically has the permissions granted to that group. For
example, if the group Site editors has the permission
can_edit_home_page, any user in that group will have that permission.
Groups are also a convenient way to categorize users to give them some label, or
extended functionality. For example, you could create a group 'Special
users', and you could write code that could, say, give those users access to a
members-only portion of your site, or send them members-only e-mail messages.
Like users, the easiest way to manage groups is through the admin interface.
However, groups are also just Django models that live in
django.contrib.auth.models, so once again you can always use Django’s
database APIs to deal with groups at a low level.
Messages
The message system is a lightweight way to queue messages for given users. A
message is associated with a User. There’s no concept of expiration or
timestamps.
Messages are used by the Django admin interface after successful actions. For
example, when you create an object, you’ll notice a “The object was created
successfully” message at the top of the admin page.
You can use the same API to queue and display messages in your own application.
The API is simple:
- To create a new message, use
user.message_set.create(message='message_text').
- To retrieve/delete messages, use user.get_and_delete_messages(),
which returns a list of Message objects in the user’s queue (if any)
and deletes the messages from the queue.
In this example view, the system saves a message for the user after creating a
playlist:
def create_playlist(request, songs):
# Create the playlist with the given songs.
# ...
request.user.message_set.create(
message="Your playlist was added successfully."
)
return render(request, "playlists/create.html")
When you use the render() shortcut or render a template with a
RequestContext, the current logged-in user and his or her messages are made
available in the template context as the template variable {{ messages }}.
Here’s an example of template code that displays messages:
{% if messages %}
<ul>
{% for message in messages %}
<li>{{ message }}</li>
{% endfor %}
</ul>
{% endif %}
Note that RequestContext calls get_and_delete_messages behind the
scenes, so any messages will be deleted even if you don’t display them.
Finally, note that this messages framework only works with users in the user
database. To send messages to anonymous users, use the session framework
directly.
What’s Next
The session and authorization system is a lot to absorb. Most of the time,
you won’t need all the features described in this chapter, but when you need to
allow complex interactions between users, it’s good to have all that power
available.
In the next chapter, we’ll take a look at Django’s caching infrastructure,
which is a convenient way to improve the performance of your application.
Chapter 15: Caching
A fundamental trade-off in dynamic Web sites is, well, they’re dynamic. Each
time a user requests a page, the Web server makes all sorts of calculations –
from database queries to template rendering to business logic – to create the
page that your site’s visitor sees. This is a lot more expensive, from a
processing-overhead perspective, than your standard
read-a-file-off-the-filesystem server arrangement.
For most Web applications, this overhead isn’t a big deal. Most Web
applications aren’t washingtonpost.com or slashdot.org; they’re simply small-
to medium-sized sites with so-so traffic. But for medium- to high-traffic
sites, it’s essential to cut as much overhead as possible.
That’s where caching comes in.
To cache something is to save the result of an expensive calculation so that
you don’t have to perform the calculation next time. Here’s some pseudocode
explaining how this would work for a dynamically generated Web page:
given a URL, try finding that page in the cache
if the page is in the cache:
return the cached page
else:
generate the page
save the generated page in the cache (for next time)
return the generated page
Django comes with a robust cache system that lets you save dynamic pages so
they don’t have to be calculated for each request. For convenience, Django
offers different levels of cache granularity: You can cache the output of
specific views, you can cache only the pieces that are difficult to produce, or
you can cache your entire site.
Django also works well with “upstream” caches, such as Squid
(http://www.squid-cache.org/) and browser-based caches. These are the types of
caches that you don’t directly control but to which you can provide hints (via
HTTP headers) about which parts of your site should be cached, and how.
Setting Up the Cache
The cache system requires a small amount of setup. Namely, you have to tell it
where your cached data should live – whether in a database, on the filesystem
or directly in memory. This is an important decision that affects your cache’s
performance; yes, some cache types are faster than others.
Your cache preference goes in the CACHE_BACKEND setting in your settings
file. Here’s an explanation of all available values for CACHE_BACKEND.
Memcached
By far the fastest, most efficient type of cache available to Django, Memcached
is an entirely memory-based cache framework originally developed to handle high
loads at LiveJournal.com and subsequently open-sourced by Danga Interactive.
It’s used by sites such as Facebook and Wikipedia to reduce database access and
dramatically increase site performance.
Memcached is available for free at http://danga.com/memcached/ . It runs as a
daemon and is allotted a specified amount of RAM. All it does is provide an
fast interface for adding, retrieving and deleting arbitrary data in the cache.
All data is stored directly in memory, so there’s no overhead of database or
filesystem usage.
After installing Memcached itself, you’ll need to install the Memcached Python
bindings, which are not bundled with Django directly. Two versions of this are
available. Choose and install one of the following modules:
To use Memcached with Django, set CACHE_BACKEND to
memcached://ip:port/, where ip is the IP address of the Memcached
daemon and port is the port on which Memcached is running.
In this example, Memcached is running on localhost (127.0.0.1) port 11211:
CACHE_BACKEND = 'memcached://127.0.0.1:11211/'
One excellent feature of Memcached is its ability to share cache over multiple
servers. This means you can run Memcached daemons on multiple machines, and the
program will treat the group of machines as a single cache, without the need
to duplicate cache values on each machine. To take advantage of this feature,
include all server addresses in CACHE_BACKEND, separated by semicolons.
In this example, the cache is shared over Memcached instances running on IP
address 172.19.26.240 and 172.19.26.242, both on port 11211:
CACHE_BACKEND = 'memcached://172.19.26.240:11211;172.19.26.242:11211/'
In the following example, the cache is shared over Memcached instances running
on the IP addresses 172.19.26.240 (port 11211), 172.19.26.242 (port 11212), and
172.19.26.244 (port 11213):
CACHE_BACKEND = 'memcached://172.19.26.240:11211;172.19.26.242:11212;172.19.26.244:11213/'
A final point about Memcached is that memory-based caching has one
disadvantage: Because the cached data is stored in memory, the data will be
lost if your server crashes. Clearly, memory isn’t intended for permanent data
storage, so don’t rely on memory-based caching as your only data storage.
Without a doubt, none of the Django caching backends should be used for
permanent storage – they’re all intended to be solutions for caching, not
storage – but we point this out here because memory-based caching is
particularly temporary.
Database Caching
To use a database table as your cache backend, first create a cache table in
your database by running this command:
python manage.py createcachetable [cache_table_name]
...where [cache_table_name] is the name of the database table to create.
(This name can be whatever you want, as long as it’s a valid table name that’s
not already being used in your database.) This command creates a single table
in your database that is in the proper format that Django’s database-cache
system expects.
Once you’ve created that database table, set your CACHE_BACKEND setting to
"db://tablename", where tablename is the name of the database table.
In this example, the cache table’s name is my_cache_table:
CACHE_BACKEND = 'db://my_cache_table'
The database caching backend uses the same database as specified in your
settings file. You can’t use a different database backend for your cache table.
Database caching works best if you’ve got a fast, well-indexed database server.
Filesystem Caching
To store cached items on a filesystem, use the "file://" cache type for
CACHE_BACKEND. For example, to store cached data in /var/tmp/django_cache,
use this setting:
CACHE_BACKEND = 'file:///var/tmp/django_cache'
Note that there are three forward slashes toward the beginning of that example.
The first two are for file://, and the third is the first character of the
directory path, /var/tmp/django_cache. If you’re on Windows, put the
drive letter after the file://, like this:
The directory path should be absolute – that is, it should start at the root
of your filesystem. It doesn’t matter whether you put a slash at the end of the
setting.
Make sure the directory pointed-to by this setting exists and is readable and
writable by the system user under which your Web server runs. Continuing the
above example, if your server runs as the user apache, make sure the
directory /var/tmp/django_cache exists and is readable and writable by the
user apache.
Each cache value will be stored as a separate file whose contents are the
cache data saved in a serialized (“pickled”) format, using Python’s pickle
module. Each file’s name is the cache key, escaped for safe filesystem use.
Local-Memory Caching
If you want the speed advantages of in-memory caching but don’t have the
capability of running Memcached, consider the local-memory cache backend. This
cache is multi-process and thread-safe. To use it, set CACHE_BACKEND to
"locmem:///". For example:
CACHE_BACKEND = 'locmem:///'
Note that each process will have its own private cache instance, which means no
cross-process caching is possible. This obviously also means the local memory
cache isn’t particularly memory-efficient, so it’s probably not a good choice
for production environments. It’s nice for development.
Dummy Caching (For Development)
Finally, Django comes with a “dummy” cache that doesn’t actually cache – it
just implements the cache interface without doing anything.
This is useful if you have a production site that uses heavy-duty caching in
various places but a development/test environment where you don’t want to cache
and don’t want to have to change your code to special-case the latter. To
activate dummy caching, set CACHE_BACKEND like so:
CACHE_BACKEND = 'dummy:///'
Using a Custom Cache Backend
While Django includes support for a number of cache backends out-of-the-box,
sometimes you might want to use a customized cache backend. To use an external
cache backend with Django, use a Python import path as the scheme portion (the
part before the initial colon) of the CACHE_BACKEND URI, like so:
CACHE_BACKEND = 'path.to.backend://'
If you’re building your own backend, you can use the standard cache backends
as reference implementations. You’ll find the code in the
django/core/cache/backends/ directory of the Django source.
Note: Without a really compelling reason, such as a host that doesn’t support
them, you should stick to the cache backends included with Django. They’ve
been well-tested and are easy to use.
CACHE_BACKEND Arguments
Each cache backend may take arguments. They’re given in query-string style on
the CACHE_BACKEND setting. Valid arguments are as follows:
timeout: The default timeout, in seconds, to use for the cache.
This argument defaults to 300 seconds (5 minutes).
max_entries: For the locmem, filesystem and database
backends, the maximum number of entries allowed in the cache before old
values are deleted. This argument defaults to 300.
cull_percentage: The percentage of entries that are culled when
max_entries is reached. The actual ratio is 1/cull_percentage, so
set cull_percentage=2 to cull half of the entries when max_entries
is reached.
A value of 0 for cull_percentage means that the entire cache will
be dumped when max_entries is reached. This makes culling much
faster at the expense of more cache misses.
In this example, timeout is set to 60:
CACHE_BACKEND = "memcached://127.0.0.1:11211/?timeout=60"
In this example, timeout is 30 and max_entries is 400:
CACHE_BACKEND = "locmem:///?timeout=30&max_entries=400"
Invalid arguments are silently ignored, as are invalid values of known
arguments.
The Per-Site Cache
Once the cache is set up, the simplest way to use caching is to cache your
entire site. You’ll need to add
'django.middleware.cache.UpdateCacheMiddleware' and
'django.middleware.cache.FetchFromCacheMiddleware' to your
MIDDLEWARE_CLASSES setting, as in this example:
MIDDLEWARE_CLASSES = (
'django.middleware.cache.UpdateCacheMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.cache.FetchFromCacheMiddleware',
)
Note
No, that’s not a typo: the “update” middleware must be first in the list,
and the “fetch” middleware must be last. The details are a bit obscure, but
see Order of MIDDLEWARE_CLASSES below if you’d like the full story.
Then, add the following required settings to your Django settings file:
- CACHE_MIDDLEWARE_SECONDS – The number of seconds each page should be
cached.
- CACHE_MIDDLEWARE_KEY_PREFIX – If the cache is shared across multiple
sites using the same Django installation, set this to the name of the site,
or some other string that is unique to this Django instance, to prevent key
collisions. Use an empty string if you don’t care.
The cache middleware caches every page that doesn’t have GET or POST
parameters. Optionally, if the CACHE_MIDDLEWARE_ANONYMOUS_ONLY setting is
True, only anonymous requests (i.e., not those made by a logged-in user)
will be cached. This is a simple and effective way of disabling caching for any
user-specific pages (include Django’s admin interface). Note that if you use
CACHE_MIDDLEWARE_ANONYMOUS_ONLY, you should make sure you’ve activated
AuthenticationMiddleware.
Additionally, the cache middleware automatically sets a few headers in each
HttpResponse:
- Sets the Last-Modified header to the current date/time when a fresh
(uncached) version of the page is requested.
- Sets the Expires header to the current date/time plus the defined
CACHE_MIDDLEWARE_SECONDS.
- Sets the Cache-Control header to give a max age for the page –
again, from the CACHE_MIDDLEWARE_SECONDS setting.
See Chapter 17 for more on middleware.
If a view sets its own cache expiry time (i.e. it has a max-age section in
its Cache-Control header) then the page will be cached until the expiry
time, rather than CACHE_MIDDLEWARE_SECONDS. Using the decorators in
django.views.decorators.cache you can easily set a view’s expiry time
(using the cache_control decorator) or disable caching for a view (using
the never_cache decorator). See the “Using other headers” section below for
more on these decorators.
The Per-View Cache
A more granular way to use the caching framework is by caching the output of
individual views. django.views.decorators.cache defines a cache_page
decorator that will automatically cache the view’s response for you. It’s easy
to use:
from django.views.decorators.cache import cache_page
def my_view(request):
# ...
my_view = cache_page(my_view, 60 * 15)
Or, using Python 2.4’s decorator syntax:
@cache_page(60 * 15)
def my_view(request):
# ...
cache_page takes a single argument: the cache timeout, in seconds. In the
above example, the result of the my_view() view will be cached for 15
minutes. (Note that we’ve written it as 60 * 15 for the purpose of
readability. 60 * 15 will be evaluated to 900 – that is, 15 minutes
multiplied by 60 seconds per minute.)
The per-view cache, like the per-site cache, is keyed off of the URL. If
multiple URLs point at the same view, each URL will be cached separately.
Continuing the my_view example, if your URLconf looks like this:
urlpatterns = ('',
(r'^foo/(\d{1,2})/$', my_view),
)
then requests to /foo/1/ and /foo/23/ will be cached separately, as
you may expect. But once a particular URL (e.g., /foo/23/) has been
requested, subsequent requests to that URL will use the cache.
Specifying Per-View Cache in the URLconf
The examples in the previous section have hard-coded the fact that the view is
cached, because cache_page alters the my_view function in place. This
approach couples your view to the cache system, which is not ideal for several
reasons. For instance, you might want to reuse the view functions on another,
cache-less site, or you might want to distribute the views to people who might
want to use them without being cached. The solution to these problems is to
specify the per-view cache in the URLconf rather than next to the view functions
themselves.
Doing so is easy: simply wrap the view function with cache_page when you
refer to it in the URLconf. Here’s the old URLconf from earlier:
urlpatterns = ('',
(r'^foo/(\d{1,2})/$', my_view),
)
Here’s the same thing, with my_view wrapped in cache_page:
from django.views.decorators.cache import cache_page
urlpatterns = ('',
(r'^foo/(\d{1,2})/$', cache_page(my_view, 60 * 15)),
)
If you take this approach, don’t forget to import cache_page within your
URLconf.
Template Fragment Caching
If you’re after even more control, you can also cache template fragments using
the cache template tag. To give your template access to this tag, put
{% load cache %} near the top of your template.
The {% cache %} template tag caches the contents of the block for a given
amount of time. It takes at least two arguments: the cache timeout, in seconds,
and the name to give the cache fragment. For example:
{% load cache %}
{% cache 500 sidebar %}
.. sidebar ..
{% endcache %}
Sometimes you might want to cache multiple copies of a fragment depending on
some dynamic data that appears inside the fragment. For example, you might want a
separate cached copy of the sidebar used in the previous example for every user
of your site. Do this by passing additional arguments to the {% cache %}
template tag to uniquely identify the cache fragment:
{% load cache %}
{% cache 500 sidebar request.user.username %}
.. sidebar for logged in user ..
{% endcache %}
It’s perfectly fine to specify more than one argument to identify the fragment.
Simply pass as many arguments to {% cache %} as you need.
The cache timeout can be a template variable, as long as the template variable
resolves to an integer value. For example, if the template variable
my_timeout is set to the value 600, then the following two examples are
equivalent:
{% cache 600 sidebar %} ... {% endcache %}
{% cache my_timeout sidebar %} ... {% endcache %}
This feature is useful in avoiding repetition in templates. You can set the
timeout in a variable, in one place, and just reuse that value.
The Low-Level Cache API
Sometimes, caching an entire rendered page doesn’t gain you very much and is,
in fact, inconvenient overkill.
Perhaps, for instance, your site includes a view whose results depend on
several expensive queries, the results of which change at different intervals.
In this case, it would not be ideal to use the full-page caching that the
per-site or per-view cache strategies offer, because you wouldn’t want to
cache the entire result (since some of the data changes often), but you’d still
want to cache the results that rarely change.
For cases like this, Django exposes a simple, low-level cache API. You can use
this API to store objects in the cache with any level of granularity you like.
You can cache any Python object that can be pickled safely: strings,
dictionaries, lists of model objects, and so forth. (Most common Python objects
can be pickled; refer to the Python documentation for more information about
pickling.)
The cache module, django.core.cache, has a cache object that’s
automatically created from the CACHE_BACKEND setting:
>>> from django.core.cache import cache
The basic interface is set(key, value, timeout_seconds) and get(key):
>>> cache.set('my_key', 'hello, world!', 30)
>>> cache.get('my_key')
'hello, world!'
The timeout_seconds argument is optional and defaults to the timeout
argument in the CACHE_BACKEND setting (explained above).
If the object doesn’t exist in the cache, cache.get() returns None:
# Wait 30 seconds for 'my_key' to expire...
>>> cache.get('my_key')
None
We advise against storing the literal value None in the cache, because you
won’t be able to distinguish between your stored None value and a cache
miss signified by a return value of None.
cache.get() can take a default argument. This specifies which value to
return if the object doesn’t exist in the cache:
>>> cache.get('my_key', 'has expired')
'has expired'
To add a key only if it doesn’t already exist, use the add() method.
It takes the same parameters as set(), but it will not attempt to
update the cache if the key specified is already present:
>>> cache.set('add_key', 'Initial value')
>>> cache.add('add_key', 'New value')
>>> cache.get('add_key')
'Initial value'
If you need to know whether add() stored a value in the cache, you can
check the return value. It will return True if the value was stored,
False otherwise.
There’s also a get_many() interface that only hits the cache once.
get_many() returns a dictionary with all the keys you asked for that
actually exist in the cache (and haven’t expired):
>>> cache.set('a', 1)
>>> cache.set('b', 2)
>>> cache.set('c', 3)
>>> cache.get_many(['a', 'b', 'c'])
{'a': 1, 'b': 2, 'c': 3}
Finally, you can delete keys explicitly with delete(). This is an easy way
of clearing the cache for a particular object:
You can also increment or decrement a key that already exists using the
incr() or decr() methods, respectively. By default, the existing cache
value will incremented or decremented by 1. Other increment/decrement values
can be specified by providing an argument to the increment/decrement call. A
ValueError will be raised if you attempt to increment or decrement a
nonexistent cache key.:
>>> cache.set('num', 1)
>>> cache.incr('num')
2
>>> cache.incr('num', 10)
12
>>> cache.decr('num')
11
>>> cache.decr('num', 5)
6
Note
incr()/decr() methods are not guaranteed to be atomic. On those
backends that support atomic increment/decrement (most notably, the
memcached backend), increment and decrement operations will be atomic.
However, if the backend doesn’t natively provide an increment/decrement
operation, it will be implemented using a two-step retrieve/update.
Upstream Caches
So far, this chapter has focused on caching your own data. But another type
of caching is relevant to Web development, too: caching performed by “upstream”
caches. These are systems that cache pages for users even before the request
reaches your Web site.
Here are a few examples of upstream caches:
- Your ISP may cache certain pages, so if you requested a page from
http://example.com/, your ISP would send you the page without having to
access example.com directly. The maintainers of example.com have no
knowledge of this caching; the ISP sits between example.com and your Web
browser, handling all of the caching transparently.
- Your Django Web site may sit behind a proxy cache, such as Squid Web
Proxy Cache (http://www.squid-cache.org/), that caches pages for
performance. In this case, each request first would be handled by the
proxy, and it would be passed to your application only if needed.
- Your Web browser caches pages, too. If a Web page sends out the
appropriate headers, your browser will use the local cached copy for
subsequent requests to that page, without even contacting the Web page
again to see whether it has changed.
Upstream caching is a nice efficiency boost, but there’s a danger to it:
Many Web pages’ contents differ based on authentication and a host of other
variables, and cache systems that blindly save pages based purely on URLs could
expose incorrect or sensitive data to subsequent visitors to those pages.
For example, say you operate a Web e-mail system, and the contents of the
“inbox” page obviously depend on which user is logged in. If an ISP blindly
cached your site, then the first user who logged in through that ISP would have
his user-specific inbox page cached for subsequent visitors to the site. That’s
not cool.
Fortunately, HTTP provides a solution to this problem. A number of HTTP headers
exist to instruct upstream caches to differ their cache contents depending on
designated variables, and to tell caching mechanisms not to cache particular
pages. We’ll look at some of these headers in the sections that follow.
Other Optimizations
Django comes with a few other pieces of middleware that can help optimize your
apps’ performance:
- django.middleware.http.ConditionalGetMiddleware adds support for
modern browsers to conditionally GET responses based on the ETag
and Last-Modified headers.
- django.middleware.gzip.GZipMiddleware compresses responses for all
moderns browsers, saving bandwidth and transfer time.
Order of MIDDLEWARE_CLASSES
If you use caching middleware, it’s important to put each half in the right
place within the MIDDLEWARE_CLASSES setting. That’s because the cache
middleware needs to know which headers by which to vary the cache storage.
Middleware always adds something to the Vary response header when it can.
UpdateCacheMiddleware runs during the response phase, where middleware is
run in reverse order, so an item at the top of the list runs last during the
response phase. Thus, you need to make sure that UpdateCacheMiddleware
appears before any other middleware that might add something to the Vary
header. The following middleware modules do so:
- SessionMiddleware adds Cookie
- GZipMiddleware adds Accept-Encoding
- LocaleMiddleware adds Accept-Language
FetchFromCacheMiddleware, on the other hand, runs during the request phase,
where middleware is applied first-to-last, so an item at the top of the list
runs first during the request phase. The FetchFromCacheMiddleware also
needs to run after other middleware updates the Vary header, so
FetchFromCacheMiddleware must be after any item that does so.
What’s Next?
Django ships with a number of “contrib” packages – optional features that can
make your life easier. We’ve already covered a few of these: the admin site
(Chapter 6) and the session/user framework (Chapter 14). The next chapter
covers more of the “contributed” subframeworks.
Chapter 16: django.contrib
One of the many strengths of Python is its “batteries included” philosophy: when
you install Python, it comes with a large standard library of packages that you
can start using immediately, without having to download anything else. Django
aims to follow this philosophy, and it includes its own standard library of
add-ons useful for common Web development tasks. This chapter covers that
collection of add-ons.
The Django Standard Library
Django’s standard library lives in the package django.contrib. Within each
subpackage is a separate piece of add-on functionality. These pieces are not
necessarily related, but some django.contrib subpackages may require other
ones.
There’s no hard requirement for the types of functionality in
django.contrib. Some of the packages include models (and hence require you
to install their database tables into your database), but others consist solely
of middleware or template tags.
The single characteristic the django.contrib packages have in common is
this: if you were to remove the django.contrib package entirely, you could
still use Django’s fundamental features with no problems. When the Django
developers add new functionality to the framework, they use this rule of thumb
in deciding whether the new functionality should live in django.contrib or
elsewhere.
django.contrib consists of these packages:
- admin: The Django admin site. See Chapter 6.
- admindocs: Auto-documentation for the Django admin site. This book
doesn’t cover this feature; check the official Django documentation.
- auth: Django’s authentication framework. See Chapter 14.
- comments: A comments application. This book doesn’t cover this
feature; check the official Django documentation.
- contenttypes: A framework for hooking into “types” of content, where
each installed Django model is a separate content type. This framework is
used internally by other “contrib” applications and is mostly intended for very
advanced Django developers. Those developers should find out more about
this application by reading the source code in django/contrib/contenttypes.
- csrf: Protection against Cross-Site Request Forgery (CSRF). See
the later section titled “CSRF Protection.”
- databrowse: A Django application that lets you browse your data. This
book doesn’t cover this feature; check the official Django documentation.
- flatpages: A framework for managing simple “flat” HTML content in a
database. See the later section titled “Flatpages.”
- formtools: A number of useful higher-level libraries for dealing with
common patterns in forms. This book doesn’t cover this feature; check the
official Django documentation.
- gis: Extensions to Django that provide for GIS (Geographic
Information Systems) support. These, for example, allow your Django
models to store geographic data and perform geographic queries. This is
a large, complex library and isn’t covered in this book. See
http://geodjango.org/ for documentation.
- humanize: A set of Django template filters useful for adding a
“human touch” to data. See the later section titled “Humanizing Data.”
- localflavor: Assorted pieces of code that are useful for particular
countries or cultures. For example, this includes ways to validate U.S.
ZIP codes or Icelandic identification numbers.
- markup: A set of Django template filters that implement a number of
common markup languages. See the later section titled “Markup Filters.”
- redirects: A framework for managing redirects. See the later section titled
“Redirects.”
- sessions: Django’s session framework. See Chapter 14.
- sitemaps: A framework for generating sitemap XML files. See Chapter 13.
- sites: A framework that lets you operate multiple Web sites from the
same database and Django installation. See the next section, “Sites.”
- syndication: A framework for generating syndication feeds in RSS and
Atom. See Chapter 13.
- webdesign: Django add-ons that are particularly useful to Web
designers (as opposed to developers). As of this writing, this included
only a single template tag, {% lorem %}. Check the Django
documentation for information.
The rest of this chapter goes into detail a number of django.contrib
packages that we haven’t yet covered in this book.
Sites
Django’s sites system is a generic framework that lets you operate multiple
Web sites from the same database and Django project. This is an abstract
concept, and it can be tricky to understand, so we’ll start with a couple of
scenarios where it would be useful.
Scenario 1: Reusing Data on Multiple Sites
As we explained in Chapter 1, the Django-powered sites LJWorld.com and
Lawrence.com are operated by the same news organization: the Lawrence
Journal-World newspaper in Lawrence, Kansas. LJWorld.com focuses on news, while
Lawrence.com focuses on local entertainment. But sometimes editors want to
publish an article on both sites.
The brain-dead way of solving the problem would be to use a separate database
for each site and to require site producers to publish the same story twice:
once for LJWorld.com and again for Lawrence.com. But that’s inefficient for
site producers, and it’s redundant to store multiple copies of the same story
in the database.
The better solution? Both sites use the same article database, and an article
is associated with one or more sites via a many-to-many relationship. The
Django sites framework provides the database table to which articles can be
related. It’s a hook for associating data with one or more “sites.”
Scenario 2: Storing Your Site Name/Domain in One Place
LJWorld.com and Lawrence.com both have e-mail alert functionality, which lets
readers sign up to get notifications when news happens. It’s pretty basic: a
reader signs up on a Web form, and he immediately gets an e-mail saying,
“Thanks for your subscription.”
It would be inefficient and redundant to implement this signup-processing code
twice, so the sites use the same code behind the scenes. But the “Thank you for
your subscription” notice needs to be different for each site. By using Site
objects, we can abstract the thank-you notice to use the values of the
current site’s name (e.g., 'LJWorld.com') and domain (e.g.,
'www.ljworld.com').
The Django sites framework provides a place for you to store the name and
domain for each site in your Django project, which means you can reuse
those values in a generic way.
How to Use the Sites Framework
The sites framework is more a series of conventions than a framework. The
whole thing is based on two simple concepts:
- The Site model, found in django.contrib.sites, has domain and
name fields.
- The SITE_ID setting specifies the database ID of the Site object
associated with that particular settings file.
How you use these two concepts is up to you, but Django uses them in a couple
of ways automatically via simple conventions.
To install the sites application, follow these steps:
- Add 'django.contrib.sites' to your INSTALLED_APPS.
- Run the command manage.py syncdb to install the django_site
table into your database. This will also create a default site object,
with the domain example.com.
- Change the example.com site to your own domain, and add any other
Site objects, either through the Django admin site or via the Python
API. Create a Site object for each site/domain that this Django
project powers.
- Define the SITE_ID setting in each of your settings files. This
value should be the database ID of the Site object for the site
powered by that settings file.
The Sites Framework’s Capabilities
The sections that follow describe the various things you can do with the sites
framework.
Reusing Data on Multiple Sites
To reuse data on multiple sites, as explained in the first scenario, just create
a ManyToManyField to Site in your models, for example:
from django.db import models
from django.contrib.sites.models import Site
class Article(models.Model):
headline = models.CharField(max_length=200)
# ...
sites = models.ManyToManyField(Site)
That’s the infrastructure you need to associate articles with multiple sites in
your database. With that in place, you can reuse the same Django view code for
multiple sites. Continuing the Article model example, here’s what an
article_detail view might look like:
from django.conf import settings
from django.shortcuts import get_object_or_404
from mysite.articles.models import Article
def article_detail(request, article_id):
a = get_object_or_404(Article, id=article_id, sites__id=settings.SITE_ID)
# ...
This view function is reusable because it checks the article’s site
dynamically, according to the value of the SITE_ID setting.
For example, say LJWorld.com’s settings file has a SITE_ID set to 1, and
Lawrence.com’s settings file has a SITE_ID set to 2. If this view is
called when LJWorld.com’s settings file is active, then it will limit the
article lookup to articles in which the list of sites includes LJWorld.com.
Associating Content with a Single Site
Similarly, you can associate a model to the Site model in a many-to-one
relationship using ForeignKey.
For example, if each article is associated with only a single site, you could
use a model like this:
from django.db import models
from django.contrib.sites.models import Site
class Article(models.Model):
headline = models.CharField(max_length=200)
# ...
site = models.ForeignKey(Site)
This has the same benefits as described in the last section.
Hooking Into the Current Site from Views
On a lower level, you can use the sites framework in your Django views to do
particular things based on the site in which the view is being called,
for example:
from django.conf import settings
def my_view(request):
if settings.SITE_ID == 3:
# Do something.
else:
# Do something else.
Of course, it’s ugly to hard-code the site IDs like that. A slightly cleaner way
of accomplishing the same thing is to check the current site’s domain:
from django.conf import settings
from django.contrib.sites.models import Site
def my_view(request):
current_site = Site.objects.get(id=settings.SITE_ID)
if current_site.domain == 'foo.com':
# Do something
else:
# Do something else.
The idiom of retrieving the Site object for the value of
settings.SITE_ID is quite common, so the Site model’s manager
(Site.objects) has a get_current() method. This example is equivalent to
the previous one:
from django.contrib.sites.models import Site
def my_view(request):
current_site = Site.objects.get_current()
if current_site.domain == 'foo.com':
# Do something
else:
# Do something else.
Note
In this final example, you don’t have to import django.conf.settings.
Getting the Current Domain for Display
For a DRY (Don’t Repeat Yourself) approach to storing your site’s name and
domain name, as explained in
“Scenario 2: Storing Your Site Name/Domain in One Place,” just reference the
name and domain of the current Site object. For example:
from django.contrib.sites.models import Site
from django.core.mail import send_mail
def register_for_newsletter(request):
# Check form values, etc., and subscribe the user.
# ...
current_site = Site.objects.get_current()
send_mail('Thanks for subscribing to %s alerts' % current_site.name,
'Thanks for your subscription. We appreciate it.\n\n-The %s team.' % current_site.name,
'editor@%s' % current_site.domain,
[user_email])
# ...
Continuing our ongoing example of LJWorld.com and Lawrence.com, on Lawrence.com
this e-mail has the subject line “Thanks for subscribing to lawrence.com
alerts.” On LJWorld.com, the e-mail has the subject line “Thanks for subscribing to
LJWorld.com alerts.” This same site-specific behavior is applied to the e-mails’
message body.
An even more flexible (but more heavyweight) way of doing this would be to use
Django’s template system. Assuming Lawrence.com and LJWorld.com have different
template directories (TEMPLATE_DIRS), you could simply delegate to the
template system like so:
from django.core.mail import send_mail
from django.template import loader, Context
def register_for_newsletter(request):
# Check form values, etc., and subscribe the user.
# ...
subject = loader.get_template('alerts/subject.txt').render(Context({}))
message = loader.get_template('alerts/message.txt').render(Context({}))
send_mail(subject, message, 'do-not-reply@example.com', [user_email])
# ...
In this case, you have to create subject.txt and message.txt
templates in both the LJWorld.com and Lawrence.com template directories.
As mentioned previously, that gives you more flexibility, but it’s also
more complex.
It’s a good idea to exploit the Site objects as much as possible to remove
unneeded complexity and redundancy.
CurrentSiteManager
If Site objects play a key role in your application, consider using the
CurrentSiteManager in your model(s). It’s a model manager (see Chapter 10)
that automatically filters its queries to include only objects associated with
the current Site.
Use CurrentSiteManager by adding it to your model explicitly. For example:
from django.db import models
from django.contrib.sites.models import Site
from django.contrib.sites.managers import CurrentSiteManager
class Photo(models.Model):
photo = models.FileField(upload_to='/home/photos')
photographer_name = models.CharField(max_length=100)
pub_date = models.DateField()
site = models.ForeignKey(Site)
objects = models.Manager()
on_site = CurrentSiteManager()
With this model, Photo.objects.all() will return all Photo objects in
the database, but Photo.on_site.all() will return only the Photo
objects associated with the current site, according to the SITE_ID setting.
In other words, these two statements are equivalent:
Photo.objects.filter(site=settings.SITE_ID)
Photo.on_site.all()
How did CurrentSiteManager know which field of Photo was the Site?
It defaults to looking for a field called site. If your model has a
ForeignKey or ManyToManyField called something other than site,
you need to explicitly pass that as the parameter to CurrentSiteManager.
The following model, which has a field called publish_on, demonstrates
this:
from django.db import models
from django.contrib.sites.models import Site
from django.contrib.sites.managers import CurrentSiteManager
class Photo(models.Model):
photo = models.FileField(upload_to='/home/photos')
photographer_name = models.CharField(max_length=100)
pub_date = models.DateField()
publish_on = models.ForeignKey(Site)
objects = models.Manager()
on_site = CurrentSiteManager('publish_on')
If you attempt to use CurrentSiteManager and pass a field name that doesn’t
exist, Django will raise a ValueError.
Note
You’ll probably want to keep a normal (non-site-specific) Manager on
your model, even if you use CurrentSiteManager. As explained in Appendix
B, if you define a manager manually, then Django won’t create the automatic
objects = models.Manager() manager for you.
Also, certain parts of Django – namely, the Django admin site and generic
views – use whichever manager is defined first in the model, so if you
want your admin site to have access to all objects (not just site-specific
ones), put objects = models.Manager() in your model, before you define
CurrentSiteManager.
How Django Uses the Sites Framework
Although it’s not required that you use the sites framework, it’s encouraged,
because Django takes advantage of it in a few places. Even if your
Django installation is powering only a single site, you should take a few
seconds to create the site object with your domain and name, and point
to its ID in your SITE_ID setting.
Here’s how Django uses the sites framework:
- In the redirects framework (see the later section “Redirects”), each
redirect object is associated with a particular site. When Django searches
for a redirect, it takes into account the current SITE_ID.
- In the comments framework, each comment is associated with a particular
site. When a comment is posted, its site is set to the current
SITE_ID, and when comments are listed via the appropriate template
tag, only the comments for the current site are displayed.
- In the flatpages framework (see the later section “Flatpages”), each
flatpage is associated with a particular site. When a flatpage is created,
you specify its site, and the flatpage middleware checks the current
SITE_ID in retrieving flatpages to display.
- In the syndication framework (see Chapter 13), the templates for
title and description automatically have access to a variable
{{ site }}, which is the Site object representing the current
site. Also, the hook for providing item URLs will use the
domain from the current Site object if you don’t specify a
fully qualified domain.
- In the authentication framework (see Chapter 14), the
django.contrib.auth.views.login view passes the current Site name
to the template as {{ site_name }} and the current Site object as
{{ site }}.
Flatpages
Often you’ll have a database-driven Web application up and running, but you’ll
need to add a couple of one-off static pages, such as an About page or a
Privacy Policy page. It would be possible to use a standard Web server such as
Apache to serve these files as flat HTML files, but that introduces an extra
level of complexity into your application, because then you have to worry about
configuring Apache, you have to set up access for your team to edit those
files, and you can’t take advantage of Django’s template system to style the
pages.
The solution to this problem is Django’s flatpages application, which lives in the
package django.contrib.flatpages. This application lets you manage such one-off
pages via Django’s admin site, and it lets you specify templates for them using
Django’s template system. It uses Django models behind the scenes, which means
it stores the pages in a database, just like the rest of your data, and you can
access flatpages with the standard Django database API.
Flatpages are keyed by their URL and site. When you create a flatpage, you
specify which URL it’s associated with, along with which site(s) it’s on. (For
more on sites, see the “Sites” section.)
Using Flatpages
To install the flatpages application, follow these steps:
- Add 'django.contrib.flatpages' to your INSTALLED_APPS.
django.contrib.flatpages depends on django.contrib.sites, so make
sure the both packages are in INSTALLED_APPS.
- Add 'django.contrib.flatpages.middleware.FlatpageFallbackMiddleware'
to your MIDDLEWARE_CLASSES setting.
- Run the command manage.py syncdb to install the two required tables
into your database.
The flatpages application creates two tables in your database: django_flatpage
and django_flatpage_sites. django_flatpage simply maps a URL to a title
and bunch of text content. django_flatpage_sites is a many-to-many table
that associates a flatpage with one or more sites.
The application comes with a single FlatPage model, defined in
django/contrib/flatpages/models.py. It looks something like this:
from django.db import models
from django.contrib.sites.models import Site
class FlatPage(models.Model):
url = models.CharField(max_length=100, db_index=True)
title = models.CharField(max_length=200)
content = models.TextField(blank=True)
enable_comments = models.BooleanField()
template_name = models.CharField(max_length=70, blank=True)
registration_required = models.BooleanField()
sites = models.ManyToManyField(Site)
Let’s examine these fields one at a time:
- url: The URL at which this flatpage lives, excluding the domain
name but including the leading slash (e.g., /about/contact/).
- title: The title of the flatpage. The framework doesn’t do anything
special with this. It’s your responsibility to display it in your
template.
- content: The content of the flatpage (i.e., the HTML of the page).
The framework doesn’t do anything special with this. It’s your
responsibility to display it in the template.
- enable_comments: Whether to enable comments on this flatpage. The
framework doesn’t do anything special with this. You can check this value
in your template and display a comment form if needed.
- template_name: The name of the template to use for rendering this
flatpage. This is optional; if it’s not given or if this template doesn’t
exist, the framework will fall back to the template
flatpages/default.html.
- registration_required: Whether registration is required for viewing
this flatpage. This integrates with Django’s authentication/user
framework, which is explained further in Chapter 14.
- sites: The sites that this flatpage lives on. This integrates with
Django’s sites framework, which is explained in the “Sites” section of
this chapter.
You can create flatpages through either the Django admin interface or the
Django database API. For more information on this, see the section
“Adding, Changing, and Deleting Flatpages.”
Once you’ve created flatpages, FlatpageFallbackMiddleware does all of
the work. Each time any Django application raises a 404 error, this middleware
checks the flatpages database for the requested URL as a last resort.
Specifically, it checks for a flatpage with the given URL with a site ID that
corresponds to the SITE_ID setting.
If it finds a match, it loads the flatpage’s template or
flatpages/default.html if the flatpage has not specified a custom template.
It passes that template a single context variable, flatpage, which is the
FlatPage object. It uses RequestContext in rendering the template.
If FlatpageFallbackMiddleware doesn’t find a match, the request continues
to be processed as usual.
Note
This middleware only gets activated for 404 (page not found) errors – not
for 500 (server error) or other error responses. Also note that the order of
MIDDLEWARE_CLASSES matters. Generally, you can put
FlatpageFallbackMiddleware at or near the end of the list, because it’s
a last resort.
Adding, Changing, and Deleting Flatpages
You can add, change and delete flatpages in two ways:
Via the Admin Interface
If you’ve activated the automatic Django admin interface, you should see a
“Flatpages” section on the admin index page. Edit flatpages as you would edit any
other object in the system.
Via the Python API
As described previously, flatpages are represented by a standard Django model that
lives in django/contrib/flatpages/models.py. Hence, you can access flatpage
objects via the Django database API, for example:
>>> from django.contrib.flatpages.models import FlatPage
>>> from django.contrib.sites.models import Site
>>> fp = FlatPage.objects.create(
... url='/about/',
... title='About',
... content='<p>About this site...</p>',
... enable_comments=False,
... template_name='',
... registration_required=False,
... )
>>> fp.sites.add(Site.objects.get(id=1))
>>> FlatPage.objects.get(url='/about/')
<FlatPage: /about/ -- About>
Using Flatpage Templates
By default, flatpages are rendered via the template flatpages/default.html,
but you can override that for a particular flatpage with the template_name
field on the FlatPage object.
Creating the flatpages/default.html template is your responsibility. In
your template directory, just create a flatpages directory containing a
default.html file.
Flatpage templates are passed a single context variable, flatpage, which is
the flatpage object.
Here’s a sample flatpages/default.html template:
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"
"http://www.w3.org/TR/REC-html40/loose.dtd">
<html>
<head>
<title>{{ flatpage.title }}</title>
</head>
<body>
{{ flatpage.content|safe }}
</body>
</html>
Note that we’ve used the safe template filter to allow flatpage.content
to include raw HTML and bypass auto-escaping.
Redirects
Django’s redirects framework lets you manage redirects easily by storing them in
a database and treating them as any other Django model object. For example, you
can use the redirects framework to tell Django, “Redirect any request to
/music/ to /sections/arts/music/.” This comes in handy when you need to
move things around on your site; Web developers should do whatever is necessary
to avoid broken links.
Using the Redirects Framework
To install the redirects application, follow these steps:
- Add 'django.contrib.redirects' to your INSTALLED_APPS.
- Add 'django.contrib.redirects.middleware.RedirectFallbackMiddleware'
to your MIDDLEWARE_CLASSES setting.
- Run the command manage.py syncdb to install the single required
table into your database.
manage.py syncdb creates a django_redirect table in your database. This
is a simple lookup table with site_id, old_path, and new_path fields.
You can create redirects through either the Django admin interface or the Django
database API. For more, see the section “Adding, Changing, and Deleting
Redirects.”
Once you’ve created redirects, the RedirectFallbackMiddleware class does all
of the work. Each time any Django application raises a 404 error, this
middleware checks the redirects database for the requested URL as a last resort.
Specifically, it checks for a redirect with the given old_path with a site
ID that corresponds to the SITE_ID setting. (See the earlier section “Sites”
for more information on SITE_ID and the sites framework.) Then it follows these steps:
- If it finds a match, and new_path is not empty, it redirects to
new_path.
- If it finds a match, and new_path is empty, it sends a 410 (“Gone”)
HTTP header and an empty (contentless) response.
- If it doesn’t find a match, the request continues to be processed as
usual.
The middleware only gets activated for 404 errors – not for 500 errors or responses of any
other status code.
Note that the order of MIDDLEWARE_CLASSES matters. Generally, you can put
RedirectFallbackMiddleware toward the end of the list, because it’s a last
resort.
Note
If you’re using both the redirect and flatpage fallback middleware, consider
which one (redirect or flatpage) you’d like checked first. We
suggest flatpages before redirects (thus putting
the flatpage middleware before the redirect middleware), but you might feel
differently.
Adding, Changing, and Deleting Redirects
You can add, change and delete redirects in two ways:
Via the Admin Interface
If you’ve activated the automatic Django admin interface, you should see a
“Redirects” section on the admin index page. Edit redirects as you would edit any
other object in the system.
Via the Python API
Redirects are represented by a standard Django model that lives in
django/contrib/redirects/models.py. Hence, you can access redirect objects
via the Django database API, for example:
>>> from django.contrib.redirects.models import Redirect
>>> from django.contrib.sites.models import Site
>>> red = Redirect.objects.create(
... site=Site.objects.get(id=1),
... old_path='/music/',
... new_path='/sections/arts/music/',
... )
>>> Redirect.objects.get(old_path='/music/')
<Redirect: /music/ ---> /sections/arts/music/>
CSRF Protection
The django.contrib.csrf package protects against
Cross-Site Request Forgery (CSRF).
CSRF, also known as “session riding,” is a Web site security exploit. It
happens when a malicious Web site tricks a user into unknowingly loading a URL
from a site at which that user is already authenticated, hence taking advantage
of the user’s authenticated status. This can be a bit tricky to understand at first,
so we walk through two examples in this section.
A Simple CSRF Example
Suppose you’re logged in to a webmail account at example.com. This webmail
site has a Log Out button that points to the URL example.com/logout –
that is, the only action you need to take in order to log out is to visit the
page example.com/logout.
A malicious site can coerce you to visit the URL example.com/logout by
including that URL as a hidden <iframe> on its own (malicious) page. Thus,
if you’re logged in to the example.com webmail account and visit the
malicious page that has an <iframe> to example.com/logout, the act of
visiting the malicious page will log you out from example.com.
Clearly, being logged out of a webmail site against your will is not a
terrifying breach of security, but this same type of exploit can happen to
any site that trusts users, such as an online banking site or an e-commerce
site, where the exploit could be used to initiate an order or payment without
the user’s knowledge.
A More Complex CSRF Example
In the previous example, example.com was partially at fault because it allowed
a state change (i.e., logging the user out) to be requested via the HTTP
GET method. It’s much better practice to require an HTTP POST for any
request that changes state on the server. But even Web sites that require
POST for state-changing actions are vulnerable to CSRF.
Suppose example.com has upgraded its Log Out functionality so that it’s a
<form> button that is requested via POST to the URL
example.com/logout. Furthermore, the logout <form> includes this
hidden field:
<input type="hidden" name="confirm" value="true">
This ensures that a simple POST to the URL example.com/logout won’t
log a user out; in order for a user to log out, the user must request
example.com/logout via POST and send the confirm POST
variable with a value of 'true'.
Well, despite the extra security, this arrangement can still be exploited by
CSRF – the malicious page just needs to do a little more work. Attackers can
create an entire form targeting your site, hide it in an invisible <iframe>,
and then use JavaScript to submit that form automatically.
Preventing CSRF
How, then, can your site protect itself from this exploit? The first step is
to make sure all GET requests are free of side effects. That way,
if a malicious site includes one of your pages as an <iframe>,
it won’t have a negative effect.
That leaves POST requests. The second step is to give each POST
<form> a hidden field whose value is secret and is generated from the
user’s session ID. Then, when processing the form on the server side, check for
that secret field and raise an error if it doesn’t validate.
This is exactly what Django’s CSRF prevention layer does, as explained in the
sections that follow.
Using the CSRF Middleware
The django.contrib.csrf package contains only one module: middleware.py. This
module contains a Django middleware class, CsrfMiddleware, which implements
the CSRF protection.
To activate this CSRF protection, add 'django.contrib.csrf.middleware.CsrfMiddleware'
to the MIDDLEWARE_CLASSES setting in your settings file. This middleware
needs to process the response after SessionMiddleware, so
CsrfMiddleware must appear before SessionMiddleware in the list
(because the response middleware is processed last-to-first). Also, it must
process the response before the response gets compressed or otherwise mangled,
so CsrfMiddleware must come after GZipMiddleware. Once you’ve added
that to your MIDDLEWARE_CLASSES setting, you’re done. See the section
“Order of MIDDLEWARE_CLASSES” in Chapter 15 for more explanation.
In case you’re interested, here’s how CsrfMiddleware works. It does these
two things:
- It modifies outgoing requests by adding a hidden form field to all
POST forms, with the name csrfmiddlewaretoken and a value that
is a hash of the session ID plus a secret key. The middleware does not
modify the response if there’s no session ID set, so the performance
penalty is negligible for requests that don’t use sessions.
- On all incoming POST requests that have the session cookie set, it
checks that csrfmiddlewaretoken is present and correct. If it
isn’t, the user will get a 403 HTTP error. The content of the 403
error page is the message “Cross Site Request Forgery detected. Request
aborted.”
This ensures that only forms originating from your Web site can be used to POST
data back.
This middleware deliberately targets only HTTP POST requests (and the
corresponding POST forms). As we explained, GET requests ought never
to have side effects; it’s your own responsibility to ensure this.
POST requests not accompanied by a session cookie are not
protected, but they don’t need to be protected, because a malicious Web site
could make these kind of requests anyway.
To avoid altering non-HTML requests, the middleware checks the response’s
Content-Type header before modifying it. Only pages that are served as
text/html or application/xml+xhtml are modified.
Limitations of the CSRF Middleware
CsrfMiddleware requires Django’s session framework to work. (See Chapter 14
for more on sessions.) If you’re using a custom session or authentication
framework that manually manages session cookies, this middleware will not help
you.
If your application creates HTML pages and forms in some unusual way (e.g., if it
sends fragments of HTML in JavaScript document.write statements), you
might bypass the filter that adds the hidden field to the form. In this case,
the form submission will always fail. (This happens because
CsrfMiddleware uses a regular expression to add the csrfmiddlewaretoken
field to your HTML before the page is sent to the client, and the regular
expression sometimes cannot handle wacky HTML.) If you suspect this might be
happening, just view the source in your Web browser to see whether
csrfmiddlewaretoken was inserted into your <form>.
For more CSRF information and examples, visit http://en.wikipedia.org/wiki/CSRF
Humanizing Data
The package django.contrib.humanize holds a set of Django template filters
useful for adding a “human touch” to data. To activate these filters, add
'django.contrib.humanize' to your INSTALLED_APPS. Once you’ve done
that, use {% load humanize %} in a template, and you’ll have access to the
filters described in the following sections.
apnumber
For numbers 1 through 9, this filter returns the number spelled out. Otherwise,
it returns the numeral. This follows Associated Press style.
Examples:
- 1 becomes “one”.
- 2 becomes “two”.
- 10 becomes “10”.
You can pass in either an integer or a string representation of an integer.
intcomma
This filter converts an integer to a string containing commas every three digits.
Examples:
- 4500 becomes “4,500”.
- 45000 becomes “45,000”.
- 450000 becomes “450,000”.
- 4500000 becomes “4,500,000”.
You can pass in either an integer or a string representation of an integer.
intword
This filter converts a large integer to a friendly text representation. It works best for
numbers over 1 million.
Examples:
- 1000000 becomes “1.0 million”.
- 1200000 becomes “1.2 million”.
- 1200000000 becomes “1.2 billion”.
Values up to 1 quadrillion (1,000,000,000,000,000) are supported.
You can pass in either an integer or a string representation of an integer.
ordinal
This filter converts an integer to its ordinal as a string.
Examples:
- 1 becomes “1st”.
- 2 becomes “2nd”.
- 3 becomes “3rd”.
- 254 becomes “254th”.
You can pass in either an integer or a string representation of an integer.
Markup Filters
The package django.contrib.markup includes a handful of Django template
filters, each of which implements a common markup languages:
In each case, the filter expects formatted markup as a string and returns a
string representing the marked-up text. For example, the textile filter converts
text that is marked up in Textile format to HTML:
{% load markup %}
{{ object.content|textile }}
To activate these filters, add 'django.contrib.markup' to your
INSTALLED_APPS setting. Once you’ve done that, use {% load markup %} in
a template, and you’ll have access to these filters. For more documentation,
read the source code in django/contrib/markup/templatetags/markup.py.
What’s Next?
Many of these contributed frameworks (CSRF, the auth system, etc.) do their
magic by providing a piece of middleware. Middleware is code that runs before
and/or after every request and can modify requests and responses at will, to
extend the framework. In the next chapter, we’ll discuss Django’s built-in
middleware and explain how you can write your own.
Chapter 17: Middleware
On occasion, you’ll need to run a piece of code on each and every request that
Django handles. This code might need to modify the request before the view
handles it, it might need to log information about the request for debugging
purposes, and so forth.
You can do this with Django’s middleware framework, which is a set of hooks
into Django’s request/response processing. It’s a light, low-level “plug-in”
system capable of globally altering both Django’s input and output.
Each middleware component is responsible for doing some specific function. If
you’re reading this book straight through, you’ve seen middleware a number of
times already:
- All of the session and user tools that we looked at in Chapter 14
are made possible by a few small pieces of middleware (more
specifically, the middleware makes request.session and
request.user available to you in views).
- The sitewide cache discussed in Chapter 15 is actually just a piece
of middleware that bypasses the call to your view function if the
response for that view has already been cached.
- The flatpages, redirects, and csrf applications from
Chapter 16 all do their magic through middleware components.
This chapter dives deeper into exactly what middleware is and how it works,
and explains how you can write your own middleware.
What’s Middleware?
Let’s start with a very simple example.
High-traffic sites often need to deploy Django behind a load-balancing proxy
(see Chapter 12). This can cause a few small complications, one of which is
that every request’s remote IP (request.META["REMOTE_IP"]) will be that of
the load balancer, not the actual IP making the request. Load balancers deal
with this by setting a special header, X-Forwarded-For, to the actual
requesting IP address.
So here’s a small bit of middleware that lets sites running behind a proxy
still see the correct IP address in request.META["REMOTE_ADDR"]:
class SetRemoteAddrFromForwardedFor(object):
def process_request(self, request):
try:
real_ip = request.META['HTTP_X_FORWARDED_FOR']
except KeyError:
pass
else:
# HTTP_X_FORWARDED_FOR can be a comma-separated list of IPs.
# Take just the first one.
real_ip = real_ip.split(",")[0]
request.META['REMOTE_ADDR'] = real_ip
(Note: Although the HTTP header is called X-Forwarded-For, Django makes
it available as request.META['HTTP_X_FORWARDED_FOR']. With the exception
of content-length and content-type, any HTTP headers in the request are
converted to request.META keys by converting all characters to uppercase,
replacing any hyphens with underscores and adding an HTTP_ prefix to the
name.)
If this middleware is installed (see the next section), every request’s
X-Forwarded-For value will be automatically inserted into
request.META['REMOTE_ADDR']. This means your Django applications don’t need
to be concerned with whether they’re behind a load-balancing proxy or not; they
can simply access request.META['REMOTE_ADDR'], and that will work whether
or not a proxy is being used.
In fact, this is a common enough need that this piece of middleware is a
built-in part of Django. It lives in django.middleware.http, and you can
read a bit more about it later in this chapter.
Middleware Installation
If you’ve read this book straight through, you’ve already seen a number of
examples of middleware installation; many of the examples in previous chapters
have required certain middleware. For completeness, here’s how to install
middleware.
To activate a middleware component, add it to the MIDDLEWARE_CLASSES tuple
in your settings module. In MIDDLEWARE_CLASSES, each middleware component
is represented by a string: the full Python path to the middleware’s class
name. For example, here’s the default MIDDLEWARE_CLASSES created by
django-admin.py startproject:
MIDDLEWARE_CLASSES = (
'django.middleware.common.CommonMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
)
A Django installation doesn’t require any middleware – MIDDLEWARE_CLASSES
can be empty, if you’d like – but we recommend that you activate
CommonMiddleware, which we explain shortly.
The order is significant. On the request and view phases, Django applies
middleware in the order given in MIDDLEWARE_CLASSES, and on the response
and exception phases, Django applies middleware in reverse order. That is,
Django treats MIDDLEWARE_CLASSES as a sort of “wrapper” around the view
function: on the request it walks down the list to the view, and on the
response it walks back up.
Middleware Methods
Now that you know what middleware is and how to install it, let’s take a look at
all the available methods that middleware classes can define.
Initializer: __init__(self)
Use __init__() to perform systemwide setup for a given middleware class.
For performance reasons, each activated middleware class is instantiated only
once per server process. This means that __init__() is called only once
– at server startup – not for individual requests.
A common reason to implement an __init__() method is to check whether the
middleware is indeed needed. If __init__() raises
django.core.exceptions.MiddlewareNotUsed, then Django will remove the
middleware from the middleware stack. You might use this feature to check for
some piece of software that the middleware class requires, or check whether
the server is running debug mode, or any other such environment situation.
If a middleware class defines an __init__() method, the method should take no
arguments beyond the standard self.
Request Preprocessor: process_request(self, request)
This method gets called as soon as the request has been received – before
Django has parsed the URL to determine which view to execute. It gets passed
the HttpRequest object, which you may modify at will.
process_request() should return either None or an HttpResponse
object.
- If it returns None, Django will continue processing this request,
executing any other middleware and then the appropriate view.
- If it returns an HttpResponse object, Django won’t bother calling
any other middleware (of any type) or the appropriate view. Django
will immediately return that HttpResponse.
View Preprocessor: process_view(self, request, view, args, kwargs)
This method gets called after the request preprocessor is called and Django
has determined which view to execute, but before that view has actually been
executed.
The arguments passed to this view are shown in Table 17-1.
Table 17-1. Arguments Passed to process_view()
Argument |
Explanation |
request |
The HttpRequest object. |
view |
The Python function that Django will call to handle this
request. This is the actual function object itself,
not the name of the function as a string. |
args |
The list of positional arguments that will be passed to
the view, not including the request argument (which
is always the first argument to a view). |
kwargs |
The dictionary of keyword arguments that will be passed
to the view. |
Just like process_request(), process_view() should return either
None or an HttpResponse object.
- If it returns None, Django will continue processing this request,
executing any other middleware and then the appropriate view.
- If it returns an HttpResponse object, Django won’t bother calling
any other middleware (of any type) or the appropriate view. Django
will immediately return that HttpResponse.
Response Postprocessor: process_response(self, request, response)
This method gets called after the view function is called and the response is
generated. Here, the processor can modify the content of a response. One
obvious use case is content compression, such as gzipping of the request’s
HTML.
The parameters should be pretty self-explanatory: request is the request
object, and response is the response object returned from the view.
Unlike the request and view preprocessors, which may return None,
process_response() must return an HttpResponse object. That response
could be the original one passed into the function (possibly modified) or a
brand-new one.
Exception Postprocessor: process_exception(self, request, exception)
This method gets called only if something goes wrong and a view raises an
uncaught exception. You can use this hook to send error notifications, dump
postmortem information to a log, or even try to recover from the error
automatically.
The parameters to this function are the same request object we’ve been
dealing with all along, and exception, which is the actual Exception
object raised by the view function.
process_exception() should return a either None or an HttpResponse
object.
- If it returns None, Django will continue processing this request
with the framework’s built-in exception handling.
- If it returns an HttpResponse object, Django will use that response
instead of the framework’s built-in exception handling.
Note
Django ships with a number of middleware classes (discussed in the following
section) that make good examples. Reading the code for them should give you
a good feel for the power of middleware.
You can also find a number of community-contributed examples on Django’s
wiki: http://code.djangoproject.com/wiki/ContributedMiddleware
Built-in Middleware
Django comes with some built-in middleware to deal with common problems, which we discuss
in the sections that follow.
Authentication Support Middleware
Middleware class: django.contrib.auth.middleware.AuthenticationMiddleware.
This middleware enables authentication support. It adds the request.user
attribute, representing the currently logged-in user, to every incoming
HttpRequest object.
See Chapter 14 for complete details.
“Common” Middleware
Middleware class: django.middleware.common.CommonMiddleware.
This middleware adds a few conveniences for perfectionists:
Forbids access to user agents in the ``DISALLOWED_USER_AGENTS`` setting:
If provided, this setting should be a list of compiled regular expression
objects that are matched against the user-agent header for each incoming
request. Here’s an example snippet from a settings file:
import re
DISALLOWED_USER_AGENTS = (
re.compile(r'^OmniExplorer_Bot'),
re.compile(r'^Googlebot')
)
Note the import re, because DISALLOWED_USER_AGENTS requires its
values to be compiled regexes (i.e., the output of re.compile()).
The settings file is regular Python, so it’s perfectly OK to include
Python import statements in it.
Performs URL rewriting based on the ``APPEND_SLASH`` and ``PREPEND_WWW``
settings: If APPEND_SLASH is True, URLs that lack a trailing
slash will be redirected to the same URL with a trailing slash, unless
the last component in the path contains a period. So foo.com/bar is
redirected to foo.com/bar/, but foo.com/bar/file.txt is passed
through unchanged.
If PREPEND_WWW is True, URLs that lack a leading “www.” will be
redirected to the same URL with a leading “www.”.
Both of these options are meant to normalize URLs. The philosophy is
that each URL should exist in one – and only one – place. Technically the
URL example.com/bar is distinct from example.com/bar/, which in
turn is distinct from www.example.com/bar/. A search-engine indexer
would treat these as separate URLs, which is detrimental to your site’s
search-engine rankings, so it’s a best practice to normalize URLs.
Handles ETags based on the ``USE_ETAGS`` setting: ETags are an HTTP-level
optimization for caching pages conditionally. If USE_ETAGS is
set to True, Django will calculate an ETag for each request by
MD5-hashing the page content, and it will take care of sending Not
Modified responses, if appropriate.
Note there is also a conditional GET middleware, covered shortly, which
handles ETags and does a bit more.
Compression Middleware
Middleware class: django.middleware.gzip.GZipMiddleware.
This middleware automatically compresses content for browsers that understand gzip
compression (all modern browsers). This can greatly reduce the amount of bandwidth
a Web server consumes. The tradeoff is that it takes a bit of processing time to
compress pages.
We usually prefer speed over bandwidth, but if you prefer the reverse, just
enable this middleware.
Conditional GET Middleware
Middleware class: django.middleware.http.ConditionalGetMiddleware.
This middleware provides support for conditional GET operations. If the response
has an Last-Modified or ETag or header, and the request has If-None-Match
or If-Modified-Since, the response is replaced by an 304 (“Not modified”)
response. ETag support depends on on the USE_ETAGS setting and expects
the ETag response header to already be set. As discussed above, the ETag
header is set by the Common middleware.
It also removes the content from any response to a HEAD request and sets the
Date and Content-Length response headers for all requests.
Reverse Proxy Support (X-Forwarded-For Middleware)
Middleware class: django.middleware.http.SetRemoteAddrFromForwardedFor.
This is the example we examined in the “What’s Middleware?” section earlier. It
sets request.META['REMOTE_ADDR'] based on
request.META['HTTP_X_FORWARDED_FOR'], if the latter is set. This is useful
if you’re sitting behind a reverse proxy that causes each request’s
REMOTE_ADDR to be set to 127.0.0.1.
Danger!
This middleware does not validate HTTP_X_FORWARDED_FOR.
If you’re not behind a reverse proxy that sets HTTP_X_FORWARDED_FOR
automatically, do not use this middleware. Anybody can spoof the value of
HTTP_X_FORWARDED_FOR, and because this sets REMOTE_ADDR based on
HTTP_X_FORWARDED_FOR, that means anybody can fake his IP address.
Only use this middleware when you can absolutely trust the value of
HTTP_X_FORWARDED_FOR.
Session Support Middleware
Middleware class: django.contrib.sessions.middleware.SessionMiddleware.
This middleware enables session support. See Chapter 14 for details.
Sitewide Cache Middleware
Middleware classes: django.middleware.cache.UpdateCacheMiddleware and
django.middleware.cache.FetchFromCacheMiddleware.
These middlewares work together to cache each Django-powered page. This was
discussed in detail in Chapter 15.
Transaction Middleware
Middleware class: django.middleware.transaction.TransactionMiddleware.
This middleware binds a database COMMIT or ROLLBACK to the request/response
phase. If a view function runs successfully, a COMMIT is issued. If the view
raises an exception, a ROLLBACK is issued.
The order of this middleware in the stack is important. Middleware modules
running outside of it run with commit-on-save – the default Django behavior.
Middleware modules running inside it (coming later in the stack) will be under
the same transaction control as the view functions.
See Appendix B for more about information about database transactions.
What’s Next?
Web developers and database-schema designers don’t always have the luxury of
starting from scratch. In the next chapter, we’ll cover how to integrate with
legacy systems, such as database schemas you’ve inherited from the 1980s.
Chapter 18: Integrating with Legacy Databases and Applications
Django is best suited for so-called green-field development – that is, starting
projects from scratch, as if you were constructing a building on a fresh field
of green grass. But despite the fact that Django favors from-scratch projects,
it’s possible to integrate the framework into legacy databases and
applications. This chapter explains a few integration strategies.
Integrating with a Legacy Database
Django’s database layer generates SQL schemas from Python code – but with
a legacy database, you already have the SQL schemas. In such a case,
you’ll need to create models for your existing database tables. For this
purpose, Django comes with a tool that can generate model code by reading your
database table layouts. This tool is called inspectdb, and you can call it
by executing the command manage.py inspectdb.
Using inspectdb
The inspectdb utility introspects the database pointed to by your settings
file, determines a Django model representation for each of your tables, and
prints the Python model code to standard output.
Here’s a walk-through of a typical legacy database integration process from
scratch. The only assumptions are that Django is installed and that you have a
legacy database.
Create a Django project by running
django-admin.py startproject mysite (where mysite is your
project’s name). We’ll use mysite as the project name in this
example.
Edit the settings file in that project, mysite/settings.py,
to tell Django what your database connection parameters are and what
the name of the database is. Specifically, provide the
DATABASE_NAME, DATABASE_ENGINE, DATABASE_USER,
DATABASE_PASSWORD, DATABASE_HOST, and DATABASE_PORT settings.
(Note that some of these settings are optional. Refer to Chapter 5 for
more information.)
Create a Django application within your project by running
python mysite/manage.py startapp myapp (where myapp is your
application’s name). We’ll use myapp as the application name here.
Run the command python mysite/manage.py inspectdb. This will
examine the tables in the DATABASE_NAME database and print the
generated model class for each table. Take a look at the output to get
an idea of what inspectdb can do.
Save the output to the models.py file within your application by using
standard shell output redirection:
python mysite/manage.py inspectdb > mysite/myapp/models.py
Edit the mysite/myapp/models.py file to clean up the generated
models and make any necessary customizations. We’ll give
some hints for this in the next section.
Cleaning Up Generated Models
As you might expect, the database introspection isn’t perfect, and you’ll need
to do some light cleanup of the resulting model code. Here are a few pointers
for dealing with the generated models:
Each database table is converted to a model class (i.e., there is a
one-to-one mapping between database tables and model classes). This means
that you’ll need to refactor the models for any many-to-many join tables
into ManyToManyField objects.
Each generated model has an attribute for every field, including
id primary key fields. However, recall that Django automatically
adds an id primary key field if a model doesn’t have a primary key.
Thus, you’ll want to remove any lines that look like this:
id = models.IntegerField(primary_key=True)
Not only are these lines redundant, but also they can cause problems if your
application will be adding new records to these tables.
Each field’s type (e.g., CharField, DateField) is determined by
looking at the database column type (e.g., VARCHAR, DATE). If
inspectdb cannot map a column’s type to a model field type, it will
use TextField and will insert the Python comment
'This field type is a guess.' next to the field in the generated
model. Keep an eye out for that, and change the field type accordingly
if needed.
If a field in your database has no good Django equivalent, you can
safely leave it off. The Django model layer is not required to include
every field in your table(s).
If a database column name is a Python reserved word (such as pass,
class, or for), inspectdb will append '_field' to the
attribute name and set the db_column attribute to the real field
name (e.g., pass, class, or for).
For example, if a table has an INT column called for, the generated
model will have a field like this:
for_field = models.IntegerField(db_column='for')
inspectdb will insert the Python comment
'Field renamed because it was a Python reserved word.' next to the
field.
If your database contains tables that refer to other tables (as most
databases do), you might need to rearrange the order of the generated
models so that models that refer to other models are ordered properly.
For example, if model Book has a ForeignKey to model Author,
model Author should be defined before model Book. If you need
to create a relationship on a model that has not yet been defined, you
can use a string containing the name of the model, rather than the model
object itself.
inspectdb detects primary keys for PostgreSQL, MySQL, and SQLite.
That is, it inserts primary_key=True where appropriate. For other
databases, you’ll need to insert primary_key=True for at least one
field in each model, because Django models are required to have a
primary_key=True field.
Foreign-key detection only works with PostgreSQL and with certain types
of MySQL tables. In other cases, foreign-key fields will be generated as
IntegerField``s, assuming the foreign-key column was an ``INT
column.
Integrating with an Authentication System
It’s possible to integrate Django with an existing authentication system –
another source of usernames and passwords or authentication methods.
For example, your company may already have an LDAP setup that stores a username
and password for every employee. It would be a hassle for both the network
administrator and the users themselves if users had separate accounts in LDAP
and the Django-based applications.
To handle situations like this, the Django authentication system lets you
plug in other authentication sources. You can override Django’s default
database-based scheme, or you can use the default system in tandem with other
systems.
Specifying Authentication Backends
Behind the scenes, Django maintains a list of “authentication backends” that it
checks for authentication. When somebody calls
django.contrib.auth.authenticate() (as described in Chapter 14), Django
tries authenticating across all of its authentication backends. If the first
authentication method fails, Django tries the second one, and so on, until all
backends have been attempted.
The list of authentication backends to use is specified in the
AUTHENTICATION_BACKENDS setting. This should be a tuple of Python path
names that point to Python classes that know how to authenticate. These classes
can be anywhere on your Python path.
By default, AUTHENTICATION_BACKENDS is set to the following:
('django.contrib.auth.backends.ModelBackend',)
That’s the basic authentication scheme that checks the Django users database.
The order of AUTHENTICATION_BACKENDS matters, so if the same username and
password are valid in multiple backends, Django will stop processing at the
first positive match.
Writing an Authentication Backend
An authentication backend is a class that implements two methods:
get_user(id) and authenticate(**credentials).
The get_user method takes an id – which could be a username, database
ID, or whatever – and returns a User object.
The authenticate method takes credentials as keyword arguments. Most of
the time it looks like this:
class MyBackend(object):
def authenticate(self, username=None, password=None):
# Check the username/password and return a User.
But it could also authenticate a token, like so:
class MyBackend(object):
def authenticate(self, token=None):
# Check the token and return a User.
Either way, authenticate should check the credentials it gets, and it
should return a User object that matches those credentials, if the
credentials are valid. If they’re not valid, it should return None.
The Django admin system is tightly coupled to Django’s own database-backed
User object described in Chapter 14. The best way to deal with this is to
create a Django User object for each user that exists for your backend
(e.g., in your LDAP directory, your external SQL database, etc.). Either you can
write a script to do this in advance or your authenticate method can do it
the first time a user logs in.
Here’s an example backend that authenticates against a username and password
variable defined in your settings.py file and creates a Django User
object the first time a user authenticates:
from django.conf import settings
from django.contrib.auth.models import User, check_password
class SettingsBackend(object):
"""
Authenticate against the settings ADMIN_LOGIN and ADMIN_PASSWORD.
Use the login name, and a hash of the password. For example:
ADMIN_LOGIN = 'admin'
ADMIN_PASSWORD = 'sha1$4e987$afbcf42e21bd417fb71db8c66b321e9fc33051de'
"""
def authenticate(self, username=None, password=None):
login_valid = (settings.ADMIN_LOGIN == username)
pwd_valid = check_password(password, settings.ADMIN_PASSWORD)
if login_valid and pwd_valid:
try:
user = User.objects.get(username=username)
except User.DoesNotExist:
# Create a new user. Note that we can set password
# to anything, because it won't be checked; the password
# from settings.py will.
user = User(username=username, password='get from settings.py')
user.is_staff = True
user.is_superuser = True
user.save()
return user
return None
def get_user(self, user_id):
try:
return User.objects.get(pk=user_id)
except User.DoesNotExist:
return None
For more on authentication backends, see the official Django documentation.
Integrating with Legacy Web Applications
It’s possible to run a Django application on the same Web server as an
application powered by another technology. The most straightforward way of
doing this is to use Apache’s configuration file, httpd.conf, to delegate
different URL patterns to different technologies. (Note that Chapter 12 covers
Django deployment on Apache/mod_python, so it might be worth reading that
chapter first before attempting this integration.)
The key is that Django will be activated for a particular URL pattern only if
your httpd.conf file says so. The default deployment explained in Chapter
12 assumes you want Django to power every page on a particular domain:
<Location "/">
SetHandler python-program
PythonHandler django.core.handlers.modpython
SetEnv DJANGO_SETTINGS_MODULE mysite.settings
PythonDebug On
</Location>
Here, the <Location "/"> line means “handle every URL, starting at the
root,” with Django.
It’s perfectly fine to limit this <Location> directive to a certain
directory tree. For example, say you have a legacy PHP application that powers
most pages on a domain and you want to install a Django admin site at
/admin/ without disrupting the PHP code. To do this, just set the
<Location> directive to /admin/:
<Location "/admin/">
SetHandler python-program
PythonHandler django.core.handlers.modpython
SetEnv DJANGO_SETTINGS_MODULE mysite.settings
PythonDebug On
</Location>
With this in place, only the URLs that start with /admin/ will activate
Django. Any other page will use whatever infrastructure already existed.
Note that attaching Django to a qualified URL (such as /admin/ in this
section’s example) does not affect the Django URL parsing. Django works with the
absolute URL (e.g., /admin/people/person/add/), not a “stripped” version of
the URL (e.g., /people/person/add/). This means that your root URLconf
should include the leading /admin/.
What’s Next?
If you’re a native English speaker, you might not have noticed one of the
coolest features of Django’s admin site: it’s available in more than 50
different languages! This is made possible by Django’s internationalization
framework (and the hard work of Django’s volunteer translators). The
next chapter explains how to use this framework to provide localized Django
sites.
Chapter 19: Internationalization
Django was originally developed right in the middle of the United States –
quite literally, as Lawrence, Kansas, is less than 40 miles from the
geographic center of the continental United States. Like most open source
projects, though, Django’s community grew to include people from all over the
globe. As Django’s community became increasingly diverse,
internationalization and localization became increasingly important.
Because many developers have at best a fuzzy understanding of these terms,
we’ll define them briefly.
Internationalization refers to the process of designing programs for the
potential use of any locale. This includes marking text (such as UI elements and
error messages) for future translation, abstracting the display of dates and
times so that different local standards may be observed, providing support for
differing time zones, and generally making sure that the code contains no
assumptions about the location of its users. You’ll often see
“internationalization” abbreviated I18N. (The “18” refers to the number
of letters omitted between the initial “I” and the terminal “N.”)
Localization refers to the process of actually translating an
internationalized program for use in a particular locale. You’ll sometimes see
“localization” abbreviated as L10N.
Django itself is fully internationalized; all strings are marked for
translation, and settings control the display of locale-dependent values like
dates and times. Django also ships with more than 50 different localization
files. If you’re not a native English speaker, there’s a good chance that
Django is already translated into your primary language.
The same internationalization framework used for these localizations is
available for you to use in your own code and templates.
To use this framework, you’ll need to add a minimal number of hooks to your
Python code and templates. These hooks are called translation strings. They
tell Django, “This text should be translated into the end user’s language, if a
translation for this text is available in that language.”
Django takes care of using these hooks to translate Web applications, on the
fly, according to users’ language preferences.
Essentially, Django does two things:
- It lets developers and template authors specify which parts of their
applications should be translatable.
- It uses that information to translate Web applications for particular
users according to their language preferences.
If You Don’t Need Internationalization:
Django’s internationalization hooks are enabled by default, which incurs a
small bit of overhead. If you don’t use internationalization, you should
set USE_I18N = False in your settings file. If USE_I18N is set to
False, then Django will make some optimizations so as not to load the
internationalization machinery.
You’ll probably also want to remove
'django.core.context_processors.i18n' from your
TEMPLATE_CONTEXT_PROCESSORS setting.
The three steps for internationalizing your Django application are:
- Embed translation strings in your Python code and templates.
- Get translations for those strings, in whichever languages you want to
support.
- Activate the locale middleware in your Django settings.
We’ll cover each one of these steps in detail.
1. How to Specify Translation Strings
Translation strings specify “This text should be translated.” These strings can
appear in your Python code and templates. It’s your responsibility to mark
translatable strings; the system can only translate strings it knows about.
In Python Code
Standard Translation
Specify a translation string by using the function ugettext(). It’s
convention to import this as a shorter alias, _, to save typing.
In this example, the text "Welcome to my site." is marked as a translation
string:
from django.utils.translation import ugettext as _
def my_view(request):
output = _("Welcome to my site.")
return HttpResponse(output)
Obviously, you could code this without using the alias. This example is
identical to the previous one:
from django.utils.translation import ugettext
def my_view(request):
output = ugettext("Welcome to my site.")
return HttpResponse(output)
Translation works on computed values. This example is identical to the previous
two:
def my_view(request):
words = ['Welcome', 'to', 'my', 'site.']
output = _(' '.join(words))
return HttpResponse(output)
Translation works on variables. Again, here’s an identical example:
def my_view(request):
sentence = 'Welcome to my site.'
output = _(sentence)
return HttpResponse(output)
(The caveat with using variables or computed values, as in the previous two
examples, is that Django’s translation-string-detecting utility,
django-admin.py makemessages, won’t be able to find these strings. More on
makemessages later.)
The strings you pass to _() or ugettext() can take placeholders,
specified with Python’s standard named-string interpolation syntax. Example:
def my_view(request, m, d):
output = _('Today is %(month)s %(day)s.') % {'month': m, 'day': d}
return HttpResponse(output)
This technique lets language-specific translations reorder the placeholder
text. For example, an English translation may be "Today is November 26.",
while a Spanish translation may be "Hoy es 26 de Noviembre." – with the
placeholders (the month and the day) with their positions swapped.
For this reason, you should use named-string interpolation (e.g., %(day)s)
instead of positional interpolation (e.g., %s or %d) whenever you
have more than a single parameter. If you used positional interpolation,
translations wouldn’t be able to reorder placeholder text.
Marking Strings as No-Op
Use the function django.utils.translation.ugettext_noop() to mark a string
as a translation string without translating it. The string is later translated
from a variable.
Use this if you have constant strings that should be stored in the source
language because they are exchanged over systems or users – such as strings in
a database – but should be translated at the last possible point in time, such
as when the string is presented to the user.
Lazy Translation
Use the function django.utils.translation.ugettext_lazy() to translate
strings lazily – when the value is accessed rather than when the
ugettext_lazy() function is called.
For example, to translate a model’s help_text, do the following:
from django.utils.translation import ugettext_lazy
class MyThing(models.Model):
name = models.CharField(help_text=ugettext_lazy('This is the help text'))
In this example, ugettext_lazy() stores a lazy reference to the string –
not the actual translation. The translation itself will be done when the string
is used in a string context, such as template rendering on the Django admin
site.
The result of a ugettext_lazy() call can be used wherever you would use a
unicode string (an object with type unicode) in Python. If you try to use
it where a bytestring (a str object) is expected, things will not work as
expected, since a ugettext_lazy() object doesn’t know how to convert
itself to a bytestring. You can’t use a unicode string inside a bytestring,
either, so this is consistent with normal Python behavior. For example:
# This is fine: putting a unicode proxy into a unicode string.
u"Hello %s" % ugettext_lazy("people")
# This will not work, since you cannot insert a unicode object
# into a bytestring (nor can you insert our unicode proxy there)
"Hello %s" % ugettext_lazy("people")
If you ever see output that looks like "hello
<django.utils.functional...>", you have tried to insert the result of
ugettext_lazy() into a bytestring. That’s a bug in your code.
If you don’t like the verbose name ugettext_lazy, you can just alias it as
_ (underscore), like so:
from django.utils.translation import ugettext_lazy as _
class MyThing(models.Model):
name = models.CharField(help_text=_('This is the help text'))
Always use lazy translations in Django models. Field names and table names
should be marked for translation (otherwise, they won’t be translated in the
admin interface). This means writing explicit verbose_name and
verbose_name_plural options in the Meta class, though, rather than
relying on Django’s default determination of verbose_name and
verbose_name_plural by looking at the model’s class name:
from django.utils.translation import ugettext_lazy as _
class MyThing(models.Model):
name = models.CharField(_('name'), help_text=_('This is the help text'))
class Meta:
verbose_name = _('my thing')
verbose_name_plural = _('mythings')
Pluralization
Use the function django.utils.translation.ungettext() to specify pluralized
messages. Example:
from django.utils.translation import ungettext
def hello_world(request, count):
page = ungettext('there is %(count)d object',
'there are %(count)d objects', count) % {
'count': count,
}
return HttpResponse(page)
ungettext takes three arguments: the singular translation string, the plural
translation string and the number of objects (which is passed to the
translation languages as the count variable).
In Template Code
Translation in Django templates uses two template tags and a slightly different
syntax than in Python code. To give your template access to these tags, put
{% load i18n %} toward the top of your template.
The {% trans %} template tag translates either a constant string
(enclosed in single or double quotes) or variable content:
<title>{% trans "This is the title." %}</title>
<title>{% trans myvar %}</title>
If the noop option is present, variable lookup still takes place but the
translation is skipped. This is useful when “stubbing out” content that will
require translation in the future:
<title>{% trans "myvar" noop %}</title>
It’s not possible to mix a template variable inside a string within {% trans
%}. If your translations require strings with variables (placeholders), use
{% blocktrans %}:
{% blocktrans %}This string will have {{ value }} inside.{% endblocktrans %}
To translate a template expression – say, using template filters – you need
to bind the expression to a local variable for use within the translation
block:
{% blocktrans with value|filter as myvar %}
This will have {{ myvar }} inside.
{% endblocktrans %}
If you need to bind more than one expression inside a blocktrans tag,
separate the pieces with and:
{% blocktrans with book|title as book_t and author|title as author_t %}
This is {{ book_t }} by {{ author_t }}
{% endblocktrans %}
To pluralize, specify both the singular and plural forms with the
{% plural %} tag, which appears within {% blocktrans %} and
{% endblocktrans %}. Example:
{% blocktrans count list|length as counter %}
There is only one {{ name }} object.
{% plural %}
There are {{ counter }} {{ name }} objects.
{% endblocktrans %}
Internally, all block and inline translations use the appropriate
ugettext / ungettext call.
Each RequestContext has access to three translation-specific variables:
- LANGUAGES is a list of tuples in which the first element is the
language code and the second is the language name (translated into the
currently active locale).
- LANGUAGE_CODE is the current user’s preferred language, as a string.
Example: en-us. (See “How Django discovers language preference,”
below.)
- LANGUAGE_BIDI is the current locale’s direction. If True, it’s a
right-to-left language, e.g.: Hebrew, Arabic. If False it’s a
left-to-right language, e.g.: English, French, German etc.
If you don’t use the RequestContext extension, you can get those values with
three tags:
{% get_current_language as LANGUAGE_CODE %}
{% get_available_languages as LANGUAGES %}
{% get_current_language_bidi as LANGUAGE_BIDI %}
These tags also require a {% load i18n %}.
Translation hooks are also available within any template block tag that accepts
constant strings. In those cases, just use _() syntax to specify a
translation string:
{% some_special_tag _("Page not found") value|yesno:_("yes,no") %}
In this case, both the tag and the filter will see the already-translated
string, so they don’t need to be aware of translations.
Note
In this example, the translation infrastructure will be passed the string
"yes,no", not the individual strings "yes" and "no". The
translated string will need to contain the comma so that the filter
parsing code knows how to split up the arguments. For example, a German
translator might translate the string "yes,no" as "ja,nein"
(keeping the comma intact).
Working With Lazy Translation Objects
Using ugettext_lazy() and ungettext_lazy() to mark strings in models
and utility functions is a common operation. When you’re working with these
objects elsewhere in your code, you should ensure that you don’t accidentally
convert them to strings, because they should be converted as late as possible
(so that the correct locale is in effect). This necessitates the use of a
couple of helper functions.
Joining Strings: string_concat()
Standard Python string joins (''.join([...])) will not work on lists
containing lazy translation objects. Instead, you can use
django.utils.translation.string_concat(), which creates a lazy object that
concatenates its contents and converts them to strings only when the result
is included in a string. For example:
from django.utils.translation import string_concat
# ...
name = ugettext_lazy(u'John Lennon')
instrument = ugettext_lazy(u'guitar')
result = string_concat([name, ': ', instrument])
In this case, the lazy translations in result will only be converted to
strings when result itself is used in a string (usually at template
rendering time).
The allow_lazy() Decorator
Django offers many utility functions (particularly in django.utils) that
take a string as their first argument and do something to that string. These
functions are used by template filters as well as directly in other code.
If you write your own similar functions and deal with translations, you’ll
face the problem of what to do when the first argument is a lazy translation
object. You don’t want to convert it to a string immediately, because you might
be using this function outside of a view (and hence the current thread’s locale
setting will not be correct).
For cases like this, use the django.utils.functional.allow_lazy()
decorator. It modifies the function so that if it’s called with a lazy
translation as the first argument, the function evaluation is delayed until it
needs to be converted to a string.
For example:
from django.utils.functional import allow_lazy
def fancy_utility_function(s, ...):
# Do some conversion on string 's'
# ...
fancy_utility_function = allow_lazy(fancy_utility_function, unicode)
The allow_lazy() decorator takes, in addition to the function to decorate,
a number of extra arguments (*args) specifying the type(s) that the
original function can return. Usually, it’s enough to include unicode here
and ensure that your function returns only Unicode strings.
Using this decorator means you can write your function and assume that the
input is a proper string, then add support for lazy translation objects at the
end.
2. How to Create Language Files
Once you’ve tagged your strings for later translation, you need to write (or
obtain) the language translations themselves. Here’s how that works.
Locale restrictions
Django does not support localizing your application into a locale for
which Django itself has not been translated. In this case, it will ignore
your translation files. If you were to try this and Django supported it,
you would inevitably see a mixture of translated strings (from your
application) and English strings (from Django itself). If you want to
support a locale for your application that is not already part of
Django, you’ll need to make at least a minimal translation of the Django
core.
Message Files
The first step is to create a message file for a new language. A message
file is a plain-text file, representing a single language, that contains all
available translation strings and how they should be represented in the given
language. Message files have a .po file extension.
Django comes with a tool, django-admin.py makemessages, that automates the
creation and upkeep of these files. To create or update a message file, run
this command:
django-admin.py makemessages -l de
...where de is the language code for the message file you want to create.
The language code, in this case, is in locale format. For example, it’s
pt_BR for Brazilian Portuguese and de_AT for Austrian German.
The script should be run from one of three places:
- The root directory of your Django project.
- The root directory of your Django app.
- The root django directory (not a Subversion checkout, but the one
that is linked-to via $PYTHONPATH or is located somewhere on that
path). This is only relevant when you are creating a translation for
Django itself.
This script runs over your project source tree or your application source tree and
pulls out all strings marked for translation. It creates (or updates) a message
file in the directory locale/LANG/LC_MESSAGES. In the de example, the
file will be locale/de/LC_MESSAGES/django.po.
By default django-admin.py makemessages examines every file that has the
.html file extension. In case you want to override that default, use the
--extension or -e option to specify the file extensions to examine:
django-admin.py makemessages -l de -e txt
Separate multiple extensions with commas and/or use -e or --extension
multiple times:
django-admin.py makemessages -l de -e html,txt -e xml
When creating JavaScript translation catalogs (which we’ll cover later in this
chapter,) you need to use the special ‘djangojs’ domain, not -e js.
No gettext?
If you don’t have the gettext utilities installed, django-admin.py
makemessages will create empty files. If that’s the case, either install
the gettext utilities or just copy the English message file
(locale/en/LC_MESSAGES/django.po) if available and use it as a starting
point; it’s just an empty translation file.
Working on Windows?
If you’re using Windows and need to install the GNU gettext utilities so
django-admin makemessages works, see the “gettext on Windows” section
below for more information.
The format of .po files is straightforward. Each .po file contains a
small bit of metadata, such as the translation maintainer’s contact
information, but the bulk of the file is a list of messages – simple
mappings between translation strings and the actual translated text for the
particular language.
For example, if your Django app contained a translation string for the text
"Welcome to my site.", like so:
...then django-admin.py makemessages will have created a .po file
containing the following snippet – a message:
#: path/to/python/module.py:23
msgid "Welcome to my site."
msgstr ""
A quick explanation:
- msgid is the translation string, which appears in the source. Don’t
change it.
- msgstr is where you put the language-specific translation. It starts
out empty, so it’s your responsibility to change it. Make sure you keep
the quotes around your translation.
- As a convenience, each message includes, in the form of a comment line
prefixed with # and located above the msgid line, the filename and
line number from which the translation string was gleaned.
Long messages are a special case. There, the first string directly after the
msgstr (or msgid) is an empty string. Then the content itself will be
written over the next few lines as one string per line. Those strings are
directly concatenated. Don’t forget trailing spaces within the strings;
otherwise, they’ll be tacked together without whitespace!
To reexamine all source code and templates for new translation strings and
update all message files for all languages, run this:
django-admin.py makemessages -a
Compiling Message Files
After you create your message file – and each time you make changes to it –
you’ll need to compile it into a more efficient form, for use by gettext.
Do this with the django-admin.py compilemessages utility.
This tool runs over all available .po files and creates .mo files, which
are binary files optimized for use by gettext. In the same directory from
which you ran django-admin.py makemessages, run django-admin.py
compilemessages like this:
django-admin.py compilemessages
That’s it. Your translations are ready for use.
3. How Django Discovers Language Preference
Once you’ve prepared your translations – or, if you just want to use the
translations that come with Django – you’ll just need to activate translation
for your app.
Behind the scenes, Django has a very flexible model of deciding which language
should be used – installation-wide, for a particular user, or both.
To set an installation-wide language preference, set LANGUAGE_CODE.
Django uses this language as the default translation – the final attempt if no
other translator finds a translation.
If all you want to do is run Django with your native language, and a language
file is available for your language, all you need to do is set
LANGUAGE_CODE.
If you want to let each individual user specify which language he or she
prefers, use LocaleMiddleware. LocaleMiddleware enables language
selection based on data from the request. It customizes content for each user.
To use LocaleMiddleware, add 'django.middleware.locale.LocaleMiddleware'
to your MIDDLEWARE_CLASSES setting. Because middleware order matters, you
should follow these guidelines:
- Make sure it’s one of the first middlewares installed.
- It should come after SessionMiddleware, because LocaleMiddleware
makes use of session data.
- If you use CacheMiddleware, put LocaleMiddleware after it.
For example, your MIDDLEWARE_CLASSES might look like this:
MIDDLEWARE_CLASSES = (
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.locale.LocaleMiddleware',
'django.middleware.common.CommonMiddleware',
)
(For more on middleware, see Chapter 17.)
LocaleMiddleware tries to determine the user’s language preference by
following this algorithm:
- First, it looks for a django_language key in the current user’s
session.
- Failing that, it looks for a cookie.
- Failing that, it looks at the Accept-Language HTTP header. This
header is sent by your browser and tells the server which language(s) you
prefer, in order by priority. Django tries each language in the header
until it finds one with available translations.
- Failing that, it uses the global LANGUAGE_CODE setting.
Notes:
In each of these places, the language preference is expected to be in the
standard language format, as a string. For example, Brazilian Portuguese
is pt-br.
If a base language is available but the sublanguage specified is not,
Django uses the base language. For example, if a user specifies de-at
(Austrian German) but Django only has de available, Django uses
de.
Only languages listed in the LANGUAGES setting can be selected.
If you want to restrict the language selection to a subset of provided
languages (because your application doesn’t provide all those languages),
set LANGUAGES to a list of languages. For example:
LANGUAGES = (
('de', _('German')),
('en', _('English')),
)
This example restricts languages that are available for automatic
selection to German and English (and any sublanguage, like de-ch or
en-us).
If you define a custom LANGUAGES setting, as explained in the
previous bullet, it’s OK to mark the languages as translation strings
– but use a “dummy” ugettext() function, not the one in
django.utils.translation. You should never import
django.utils.translation from within your settings file, because that
module in itself depends on the settings, and that would cause a circular
import.
The solution is to use a “dummy” ugettext() function. Here’s a sample
settings file:
ugettext = lambda s: s
LANGUAGES = (
('de', ugettext('German')),
('en', ugettext('English')),
)
With this arrangement, django-admin.py makemessages will still find
and mark these strings for translation, but the translation won’t happen
at runtime – so you’ll have to remember to wrap the languages in the
real ugettext() in any code that uses LANGUAGES at runtime.
The LocaleMiddleware can only select languages for which there is a
Django-provided base translation. If you want to provide translations
for your application that aren’t already in the set of translations
in Django’s source tree, you’ll want to provide at least basic
translations for that language. For example, Django uses technical
message IDs to translate date formats and time formats – so you will
need at least those translations for the system to work correctly.
A good starting point is to copy the English .po file and to
translate at least the technical messages – maybe the validation
messages, too.
Technical message IDs are easily recognized; they’re all upper case. You
don’t translate the message ID as with other messages, you provide the
correct local variant on the provided English value. For example, with
DATETIME_FORMAT (or DATE_FORMAT or TIME_FORMAT), this would
be the format string that you want to use in your language. The format
is identical to the format strings used by the now template tag.
Once LocaleMiddleware determines the user’s preference, it makes this
preference available as request.LANGUAGE_CODE for each
HttpRequest. Feel free to read this value in your view
code. Here’s a simple example:
def hello_world(request):
if request.LANGUAGE_CODE == 'de-at':
return HttpResponse("You prefer to read Austrian German.")
else:
return HttpResponse("You prefer to read another language.")
Note that, with static (middleware-less) translation, the language is in
settings.LANGUAGE_CODE, while with dynamic (middleware) translation, it’s
in request.LANGUAGE_CODE.
Using Translations in Your Own Projects
Django looks for translations by following this algorithm:
- First, it looks for a locale directory in the application directory
of the view that’s being called. If it finds a translation for the
selected language, the translation will be installed.
- Next, it looks for a locale directory in the project directory. If it
finds a translation, the translation will be installed.
- Finally, it checks the Django-provided base translation in
django/conf/locale.
This way, you can write applications that include their own translations, and
you can override base translations in your project path. Or, you can just build
a big project out of several apps and put all translations into one big project
message file. The choice is yours.
All message file repositories are structured the same way. They are:
- $APPPATH/locale/<language>/LC_MESSAGES/django.(po|mo)
- $PROJECTPATH/locale/<language>/LC_MESSAGES/django.(po|mo)
- All paths listed in LOCALE_PATHS in your settings file are
searched in that order for <language>/LC_MESSAGES/django.(po|mo)
- $PYTHONPATH/django/conf/locale/<language>/LC_MESSAGES/django.(po|mo)
To create message files, you use the same django-admin.py makemessages
tool as with the Django message files. You only need to be in the right place
– in the directory where either the conf/locale (in case of the source
tree) or the locale/ (in case of app messages or project messages)
directory are located. And you use the same django-admin.py compilemessages
to produce the binary django.mo files that are used by gettext.
You can also run django-admin.py compilemessages --settings=path.to.settings
to make the compiler process all the directories in your LOCALE_PATHS
setting.
Application message files are a bit complicated to discover – they need the
LocaleMiddleware. If you don’t use the middleware, only the Django message
files and project message files will be processed.
Finally, you should give some thought to the structure of your translation
files. If your applications need to be delivered to other users and will
be used in other projects, you might want to use app-specific translations.
But using app-specific translations and project translations could produce
weird problems with makemessages: makemessages will traverse all
directories below the current path and so might put message IDs into the
project message file that are already in application message files.
The easiest way out is to store applications that are not part of the project
(and so carry their own translations) outside the project tree. That way,
django-admin.py makemessages on the project level will only translate
strings that are connected to your explicit project and not strings that are
distributed independently.
The set_language Redirect View
As a convenience, Django comes with a view, django.views.i18n.set_language,
that sets a user’s language preference and redirects back to the previous page.
Activate this view by adding the following line to your URLconf:
(r'^i18n/', include('django.conf.urls.i18n')),
(Note that this example makes the view available at /i18n/setlang/.)
The view expects to be called via the POST method, with a language
parameter set in request. If session support is enabled, the view
saves the language choice in the user’s session. Otherwise, it saves the
language choice in a cookie that is by default named django_language.
(The name can be changed through the LANGUAGE_COOKIE_NAME setting.)
After setting the language choice, Django redirects the user, following this
algorithm:
- Django looks for a next parameter in the POST data.
- If that doesn’t exist, or is empty, Django tries the URL in the
Referrer header.
- If that’s empty – say, if a user’s browser suppresses that header –
then the user will be redirected to / (the site root) as a fallback.
Here’s example HTML template code:
<form action="/i18n/setlang/" method="post">
<input name="next" type="hidden" value="/next/page/" />
<select name="language">
{% for lang in LANGUAGES %}
<option value="{{ lang.0 }}">{{ lang.1 }}</option>
{% endfor %}
</select>
<input type="submit" value="Go" />
</form>
Translations and JavaScript
Adding translations to JavaScript poses some problems:
- JavaScript code doesn’t have access to a gettext implementation.
- JavaScript code doesn’t have access to .po or .mo files; they need to be
delivered by the server.
- The translation catalogs for JavaScript should be kept as small as
possible.
Django provides an integrated solution for these problems: It passes the
translations into JavaScript, so you can call gettext, etc., from within
JavaScript.
The javascript_catalog View
The main solution to these problems is the javascript_catalog view, which
sends out a JavaScript code library with functions that mimic the gettext
interface, plus an array of translation strings. Those translation strings are
taken from the application, project or Django core, according to what you
specify in either the info_dict or the URL.
You hook it up like this:
js_info_dict = {
'packages': ('your.app.package',),
}
urlpatterns = patterns('',
(r'^jsi18n/$', 'django.views.i18n.javascript_catalog', js_info_dict),
)
Each string in packages should be in Python dotted-package syntax (the
same format as the strings in INSTALLED_APPS) and should refer to a package
that contains a locale directory. If you specify multiple packages, all
those catalogs are merged into one catalog. This is useful if you have
JavaScript that uses strings from different applications.
You can make the view dynamic by putting the packages into the URL pattern:
urlpatterns = patterns('',
(r'^jsi18n/(?P<packages>\S+)/$', 'django.views.i18n.javascript_catalog'),
)
With this, you specify the packages as a list of package names delimited by ‘+’
signs in the URL. This is especially useful if your pages use code from
different apps and this changes often and you don’t want to pull in one big
catalog file. As a security measure, these values can only be either
django.conf or any package from the INSTALLED_APPS setting.
Using the JavaScript Translation Catalog
To use the catalog, just pull in the dynamically generated script like this:
<script type="text/javascript" src="/path/to/jsi18n/"></script>
This is how the admin fetches the translation catalog from the server. When the
catalog is loaded, your JavaScript code can use the standard gettext
interface to access it:
document.write(gettext('this is to be translated'));
There is also an ngettext interface:
var object_cnt = 1 // or 0, or 2, or 3, ...
s = ngettext('literal for the singular case',
'literal for the plural case', object_cnt);
and even a string interpolation function:
function interpolate(fmt, obj, named);
The interpolation syntax is borrowed from Python, so the interpolate
function supports both positional and named interpolation:
Positional interpolation: obj contains a JavaScript Array object
whose elements values are then sequentially interpolated in their
corresponding fmt placeholders in the same order they appear.
For example:
fmts = ngettext('There is %s object. Remaining: %s',
'There are %s objects. Remaining: %s', 11);
s = interpolate(fmts, [11, 20]);
// s is 'There are 11 objects. Remaining: 20'
Named interpolation: This mode is selected by passing the optional
boolean named parameter as true. obj contains a JavaScript
object or associative array. For example:
d = {
count: 10
total: 50
};
fmts = ngettext('Total: %(total)s, there is %(count)s object',
'there are %(count)s of a total of %(total)s objects', d.count);
s = interpolate(fmts, d, true);
You shouldn’t go over the top with string interpolation, though: this is still
JavaScript, so the code has to make repeated regular-expression substitutions.
This isn’t as fast as string interpolation in Python, so keep it to those
cases where you really need it (for example, in conjunction with ngettext
to produce proper pluralizations).
Creating JavaScript Translation Catalogs
You create and update the translation catalogs the same way as the other
Django translation catalogs – with the django-admin.py makemessages tool. The
only difference is you need to provide a -d djangojs parameter, like this:
django-admin.py makemessages -d djangojs -l de
This would create or update the translation catalog for JavaScript for German.
After updating translation catalogs, just run django-admin.py compilemessages
the same way as you do with normal Django translation catalogs.
Notes for Users Familiar with gettext
If you know gettext, you might note these specialties in the way Django
does translation:
- The string domain is django or djangojs. This string domain is
used to differentiate between different programs that store their data
in a common message-file library (usually /usr/share/locale/). The
django domain is used for python and template translation strings
and is loaded into the global translation catalogs. The djangojs
domain is only used for JavaScript translation catalogs to make sure
that those are as small as possible.
- Django doesn’t use xgettext alone. It uses Python wrappers around
xgettext and msgfmt. This is mostly for convenience.
gettext on Windows
This is only needed for people who either want to extract message IDs or compile
message files (.po). Translation work itself just involves editing existing
files of this type, but if you want to create your own message files, or want to
test or compile a changed message file, you will need the gettext utilities:
- Download the following zip files from
http://sourceforge.net/projects/gettext
- gettext-runtime-X.bin.woe32.zip
- gettext-tools-X.bin.woe32.zip
- libiconv-X.bin.woe32.zip
- Extract the 3 files in the same folder (i.e. C:\Program
Files\gettext-utils)
- Update the system PATH:
- Control Panel > System > Advanced > Environment Variables
- In the System variables list, click Path, click Edit
- Add ;C:\Program Files\gettext-utils\bin at the end of the
Variable value field
You may also use gettext binaries you have obtained elsewhere, so long as
the xgettext --version command works properly. Some version 0.14.4 binaries
have been found to not support this command. Do not attempt to use Django
translation utilities with a gettext package if the command xgettext
--version entered at a Windows command prompt causes a popup window saying
“xgettext.exe has generated errors and will be closed by Windows”.
What’s Next?
The final chapter focuses on security – how you can help secure your sites and
your users from malicious attackers.
Chapter 20: Security
The Internet can be a scary place.
These days, high-profile security gaffes seem to crop up on a daily basis. We’ve
seen viruses spread with amazing speed, swarms of compromised computers wielded as
weapons, a never-ending arms race against spammers, and many, many reports of
identify theft from hacked Web sites.
As Web developers, we have a duty to do what we can to combat these forces
of darkness. Every Web developer needs to treat security as a fundamental
aspect of Web programming. Unfortunately, it turns out that implementing security is hard
– attackers need to find only a single vulnerability, but defenders have to
protect every single one.
Django attempts to mitigate this difficulty. It’s designed to automatically
protect you from many of the common security mistakes that new (and even
experienced) Web developers make. Still, it’s important to understand what
these problems are, how Django protects you, and – most important – the
steps you can take to make your code even more secure.
First, though, an important disclaimer: We do not intend to present a
definitive guide to every known Web security exploit, and so we won’t try to
explain each vulnerability in a comprehensive manner. Instead, we’ll give a
short synopsis of security problems as they apply to Django.
The Theme of Web Security
If you learn only one thing from this chapter, let it be this:
Never – under any circumstances – trust data from the browser.
You never know who’s on the other side of that HTTP connection. It might be
one of your users, but it just as easily could be a nefarious cracker looking
for an opening.
Any data of any nature that comes from the browser needs to be treated with a
healthy dose of paranoia. This includes data that’s both “in band” (i.e.,
submitted from Web forms) and “out of band” (i.e., HTTP headers, cookies,
and other request information). It’s trivial to spoof the request metadata that
browsers usually add automatically.
Every one of the vulnerabilities discussed in this chapter stems directly from
trusting data that comes over the wire and then failing to sanitize that data
before using it. You should make it a general practice to continuously ask,
“Where does this data come from?”
SQL Injection
SQL injection is a common exploit in which an attacker alters Web page
parameters (such as GET/POST data or URLs) to insert arbitrary SQL
snippets that a naive Web application executes in its database directly. It’s
probably the most dangerous – and, unfortunately, one of the most common –
vulnerabilities out there.
This vulnerability most commonly crops up when constructing SQL “by hand” from
user input. For example, imagine writing a function to gather a list of
contact information from a contact search page. To prevent spammers from reading
every single e-mail in our system, we’ll force the user to type in someone’s
username before providing her e-mail address:
def user_contacts(request):
user = request.GET['username']
sql = "SELECT * FROM user_contacts WHERE username = '%s';" % username
# execute the SQL here...
Note
In this example, and all similar “don’t do this” examples that follow,
we’ve deliberately left out most of the code needed to make the functions
actually work. We don’t want this code to work if someone accidentally
takes it out of context.
Though at first this doesn’t look dangerous, it really is.
First, our attempt at protecting our entire e-mail list will fail with a
cleverly constructed query. Think about what happens if an attacker types
"' OR 'a'='a" into the query box. In that case, the query that the string
interpolation will construct will be:
SELECT * FROM user_contacts WHERE username = '' OR 'a' = 'a';
Because we allowed unsecured SQL into the string, the attacker’s added OR
clause ensures that every single row is returned.
However, that’s the least scary attack. Imagine what will happen if the
attacker submits "'; DELETE FROM user_contacts WHERE 'a' = 'a". We’ll end
up with this complete query:
SELECT * FROM user_contacts WHERE username = ''; DELETE FROM user_contacts WHERE 'a' = 'a';
Yikes! Our entire contact list would be deleted instantly.
The Solution
Although this problem is insidious and sometimes hard to spot, the solution is
simple: never trust user-submitted data, and always escape it when passing
it into SQL.
The Django database API does this for you. It automatically escapes all
special SQL parameters, according to the quoting conventions of the database
server you’re using (e.g., PostgreSQL or MySQL).
For example, in this API call:
foo.get_list(bar__exact="' OR 1=1")
Django will escape the input accordingly, resulting in a statement like this:
SELECT * FROM foos WHERE bar = '\' OR 1=1'
Completely harmless.
This applies to the entire Django database API, with a couple of exceptions:
- The where argument to the extra() method. (See Appendix C.)
That parameter accepts raw SQL by design.
- Queries done “by hand” using the lower-level database API. (See Chapter 10.)
In each of these cases, it’s easy to keep yourself protected. In each case,
avoid string interpolation in favor of passing in bind parameters. That is,
the example we started this section with should be written as follows:
from django.db import connection
def user_contacts(request):
user = request.GET['username']
sql = "SELECT * FROM user_contacts WHERE username = %s"
cursor = connection.cursor()
cursor.execute(sql, [user])
# ... do something with the results
The low-level execute method takes a SQL string with %s placeholders
and automatically escapes and inserts parameters from the list passed as the
second argument. You should always construct custom SQL this way.
Unfortunately, you can’t use bind parameters everywhere in SQL; they’re not
allowed as identifiers (i.e., table or column names). Thus, if you need to,
say, dynamically construct a list of tables from a POST variable, you’ll
need to escape that name in your code. Django provides a function,
django.db.connection.ops.quote_name, which will escape the identifier
according to the current database’s quoting scheme.
Cross-Site Scripting (XSS)
Cross-site scripting (XSS), is found in Web applications that fail to
escape user-submitted content properly before rendering it into HTML. This
allows an attacker to insert arbitrary HTML into your Web page, usually in the
form of <script> tags.
Attackers often use XSS attacks to steal cookie and session information, or to trick
users into giving private information to the wrong person (aka phishing).
This type of attack can take a number of different forms and has almost
infinite permutations, so we’ll just look at a typical example. Consider this
extremely simple “Hello, World” view:
from django.http import HttpResponse
def say_hello(request):
name = request.GET.get('name', 'world')
return HttpResponse('<h1>Hello, %s!</h1>' % name)
This view simply reads a name from a GET parameter and passes that name
into the generated HTML. So, if we accessed
http://example.com/hello/?name=Jacob, the page would contain this:
But wait – what happens if we access
http://example.com/hello/?name=<i>Jacob</i>? Then we get this:
<h1>Hello, <i>Jacob</i>!</h1>
Of course, an attacker wouldn’t use something as benign as <i> tags; he
could include a whole set of HTML that hijacked your page with arbitrary
content. This type of attack has been used to trick users into entering data
into what looks like their bank’s Web site, but in fact is an XSS-hijacked form
that submits their back account information to an attacker.
The problem gets worse if you store this data in the database and later display it
it on your site. For example, MySpace was once found to be vulnerable to an XSS
attack of this nature. A user inserted JavaScript into his profile that automatically
added him as your friend when you visited his profile page. Within a few days, he had
millions of friends.
Now, this may sound relatively benign, but keep in mind that this attacker
managed to get his code – not MySpace’s – running on your computer. This
violates the assumed trust that all the code on MySpace is actually written
by MySpace.
MySpace was extremely lucky that this malicious code didn’t automatically
delete viewers’ accounts, change their passwords, flood the site with spam, or
any of the other nightmare scenarios this vulnerability unleashes.
The Solution
The solution is simple: always escape any content that might have come
from a user before inserting it into HTML.
To guard against this, Django’s template system automatically escapes all
variable values. Let’s see what happens if we rewrite our example using the
template system:
# views.py
from django.shortcuts import render
def say_hello(request):
name = request.GET.get('name', 'world')
return render(request, 'hello.html', {'name': name})
# hello.html
<h1>Hello, {{ name }}!</h1>
With this in place, a request to http://example.com/hello/name=<i>Jacob</i>
will result in the following page:
<h1>Hello, <i>Jacob</i>!</h1>
We covered Django’s auto-escaping back in Chapter 4, along with ways to turn
it off. But even if you’re using this feature, you should still get in the
habit of asking yourself, at all times, “Where does this data come from?” No
automatic solution will ever protect your site from XSS attacks 100% of the
time.
Cross-Site Request Forgery
Cross-site request forgery (CSRF) happens when a malicious Web site tricks users
into unknowingly loading a URL from a site at which they’re already authenticated –
hence taking advantage of their authenticated status.
Django has built-in tools to protect from this kind of attack. Both the attack
itself and those tools are covered in great detail in Chapter 16.
Session Forging/Hijacking
This isn’t a specific attack, but rather a general class of attacks on a
user’s session data. It can take a number of different forms:
A man-in-the-middle attack, where an attacker snoops on session data
as it travels over the wire (or wireless) network.
Session forging, where an attacker uses a session ID
(perhaps obtained through a man-in-the-middle attack) to pretend to be
another user.
An example of these first two would be an attacker in a coffee shop using
the shop’s wireless network to capture a session cookie. She could then use that
cookie to impersonate the original user.
A cookie-forging attack, where an attacker overrides the supposedly
read-only data stored in a cookie. Chapter 14 explains in detail how
cookies work, and one of the salient points is that it’s trivial for
browsers and malicious users to change cookies without your knowledge.
There’s a long history of Web sites that have stored a cookie like
IsLoggedIn=1 or even LoggedInAsUser=jacob. It’s dead simple to
exploit these types of cookies.
On a more subtle level, though, it’s never a good idea to trust anything
stored in cookies. You never know who’s been poking at them.
Session fixation, where an attacker tricks a user into setting or
reseting the user’s session ID.
For example, PHP allows session identifiers to be passed in the URL
(e.g.,
http://example.com/?PHPSESSID=fa90197ca25f6ab40bb1374c510d7a32). An
attacker who tricks a user into clicking a link with a hard-coded
session ID will cause the user to pick up that session.
Session fixation has been used in phishing attacks to trick users into entering
personal information into an account the attacker owns. He can
later log into that account and retrieve the data.
Session poisoning, where an attacker injects potentially dangerous
data into a user’s session – usually through a Web form that the user
submits to set session data.
A canonical example is a site that stores a simple user preference (like
a page’s background color) in a cookie. An attacker could trick a user
into clicking a link to submit a “color” that actually contains an
XSS attack. If that color isn’t escaped, the user could again
inject malicious code into the user’s environment.
The Solution
There are a number of general principles that can protect you from these attacks:
Never allow session information to be contained in the URL.
Django’s session framework (see Chapter 14) simply doesn’t allow
sessions to be contained in the URL.
Don’t store data in cookies directly. Instead, store a session ID
that maps to session data stored on the backend.
If you use Django’s built-in session framework (i.e.,
request.session), this is handled automatically for you. The only
cookie that the session framework uses is a single session ID; all the
session data is stored in the database.
Remember to escape session data if you display it in the template. See
the earlier XSS section, and remember that it applies to any user-created
content as well as any data from the browser. You should treat session
information as being user created.
Prevent attackers from spoofing session IDs whenever possible.
Although it’s nearly impossible to detect someone who’s hijacked a
session ID, Django does have built-in protection against a brute-force
session attack. Session IDs are stored as hashes (instead of sequential
numbers), which prevents a brute-force attack, and a user will always get
a new session ID if she tries a nonexistent one, which prevents session
fixation.
Notice that none of those principles and tools prevents man-in-the-middle
attacks. These types of attacks are nearly impossible to detect. If your site
allows logged-in users to see any sort of sensitive data, you should always
serve that site over HTTPS. Additionally, if you have an SSL-enabled site,
you should set the SESSION_COOKIE_SECURE setting to True; this will
make Django only send session cookies over HTTPS.
Directory Traversal
Directory traversal is another injection-style attack, wherein a malicious
user tricks filesystem code into reading and/or writing files that the Web
server shouldn’t have access to.
An example might be a view that reads files from the disk without carefully
sanitizing the file name:
def dump_file(request):
filename = request.GET["filename"]
filename = os.path.join(BASE_PATH, filename)
content = open(filename).read()
# ...
Though it looks like that view restricts file access to files beneath
BASE_PATH (by using os.path.join), if the attacker passes in a
filename containing .. (that’s two periods, a shorthand for
“the parent directory”), she can access files “above” BASE_PATH. It’s only
a matter of time before she can discover the correct number of dots to
successfully access, say, ../../../../../etc/passwd.
Anything that reads files without proper escaping is vulnerable to this
problem. Views that write files are just as vulnerable, but the consequences
are doubly dire.
Another permutation of this problem lies in code that dynamically loads
modules based on the URL or other request information. A well-publicized
example came from the world of Ruby on Rails. Prior to mid-2006,
Rails used URLs like http://example.com/person/poke/1 directly to
load modules and call methods. The result was that a
carefully constructed URL could automatically load arbitrary code,
including a database reset script!
The Solution
If your code ever needs to read or write files based on user input, you need
to sanitize the requested path very carefully to ensure that an attacker isn’t
able to escape from the base directory you’re restricting access to.
Note
Needless to say, you should never write code that can read from any
area of the disk!
A good example of how to do this escaping lies in Django’s built-in static
content-serving view (in django.views.static). Here’s the relevant code:
import os
import posixpath
# ...
path = posixpath.normpath(urllib.unquote(path))
newpath = ''
for part in path.split('/'):
if not part:
# strip empty path components
continue
drive, part = os.path.splitdrive(part)
head, part = os.path.split(part)
if part in (os.curdir, os.pardir):
# strip '.' and '..' in path
continue
newpath = os.path.join(newpath, part).replace('\\', '/')
Django doesn’t read files (unless you use the static.serve
function, but that’s protected with the code just shown), so this
vulnerability doesn’t affect the core code much.
In addition, the use of the URLconf abstraction means that Django will never
load code you’ve not explicitly told it to load. There’s no way to create a
URL that causes Django to load something not mentioned in a URLconf.
Exposed Error Messages
During development, being able to see tracebacks and errors live in your
browser is extremely useful. Django has “pretty” and informative debug
messages specifically to make debugging easier.
However, if these errors get displayed once the site goes live, they can
reveal aspects of your code or configuration that could aid an attacker.
Furthermore, errors and tracebacks aren’t at all useful to end users. Django’s
philosophy is that site visitors should never see application-related error
messages. If your code raises an unhandled exception, a site visitor should
not see the full traceback – or any hint of code snippets or Python
(programmer-oriented) error messages. Instead, the visitor should see a
friendly “This page is unavailable” message.
Naturally, of course, developers need to see tracebacks to debug problems in
their code. So the framework should hide all error messages from the public,
but it should display them to the trusted site developers.
The Solution
As we covered in Chapter 12, Django’s DEBUG setting controls the display of
these error messages. Make sure to set this to False when you’re ready to
deploy.
Users deploying under Apache and mod_python (also see Chapter 12) should also
make sure they have PythonDebug Off in their Apache conf files; this will
suppress any errors that occur before Django has had a chance to load.
A Final Word on Security
We hope all this talk of security problems isn’t too intimidating. It’s true
that the Web can be a wild world, but with a little bit of foresight,
you can have a secure Web site.
Keep in mind that Web security is a constantly changing field; if you’re
reading the dead-tree version of this book, be sure to check more up to date
security resources for any new vulnerabilities that have been discovered. In
fact, it’s always a good idea to spend some time each week or month
researching and keeping current on the state of Web application security. It’s
a small investment to make, but the protection you’ll get for your site and
your users is priceless.
What’s Next?
You’ve reached the end of our regularly scheduled program. The following
appendixes all contain reference material that you might need as you work on
your Django projects.
We wish you the best of luck in running your Django site, whether it’s a little
toy for you and a few friends, or the next Google.
Appendix A: Model Definition Reference
Chapter 5 explains the basics of defining models, and we use them throughout
the rest of the book. There is, however, a huge range of model options
available not covered elsewhere. This appendix explains each possible model
definition option.
Note that although these APIs are considered stable, the Django developers
consistently add new shortcuts and conveniences to the model definition. It’s a
good idea to always check the latest documentation online at
http://docs.djangoproject.com/.
Fields
The most important part of a model – and the only required part of a model –
is the list of database fields it defines.
Field Name Restrictions
Django places only two restrictions on model field names:
A field name cannot be a Python reserved word, because that would result
in a Python syntax error. For example:
class Example(models.Model):
pass = models.IntegerField() # 'pass' is a reserved word!
A field name cannot contain more than one underscore in a row, due to
the way Django’s query lookup syntax works. For example:
class Example(models.Model):
foo__bar = models.IntegerField() # 'foo__bar' has two underscores!
These limitations can be worked around, though, because your field name
doesn’t necessarily have to match your database column name. See
“db_column”, below.
SQL reserved words, such as join, where, or select, are allowed
as model field names, because Django escapes all database table names and
column names in every underlying SQL query. It uses the quoting syntax of your
particular database engine.
Each field in your model should be an instance of the appropriate Field
class. Django uses the field class types to determine a few things:
- The database column type (e.g., INTEGER, VARCHAR).
- The widget to use in Django’s forms and admin site, if you care to use it
(e.g., <input type="text">, <select>).
- The minimal validation requirements, which are used in Django’s admin
interface and by forms.
A complete list of field classes follows, sorted alphabetically. Note that
relationship fields (ForeignKey, etc.) are handled in the next section.
AutoField
An IntegerField that automatically increments according to available IDs.
You usually won’t need to use this directly; a primary key field will
automatically be added to your model if you don’t specify otherwise.
BooleanField
A true/false field.
MySQL users...
A boolean field in MySQL is stored as a TINYINT column with a value of
either 0 or 1 (most databases have a proper BOOLEAN type instead). So,
for MySQL, only, when a BooleanField is retrieved from the database
and stored on a model attribute, it will have the values 1 or 0, rather
than True or False. Normally, this shouldn’t be a problem, since
Python guarantees that 1 == True and 0 == False are both true.
Just be careful if you’re writing something like obj is True when
obj is a value from a boolean attribute on a model. If that model was
constructed using the mysql backend, the “is” test will fail.
Prefer an equality test (using “==”) in cases like this.
CharField
A string field, for small- to large-sized strings.
For very large amounts of text, use TextField.
CharField has one extra required argument: max_length. This is the
maximum length (in characters) of the field. The max_length is enforced
at the database level and in Django’s validation.
CommaSeparatedIntegerField
A field of integers separated by commas. As in CharField, the
max_length argument is required.
DateField
A date, represented in Python by a datetime.date instance.
DateTimeField
A date and time, represented in Python by a datetime.datetime instance.
DecimalField
A fixed-precision decimal number, represented in Python by a
decimal.Decimal instance. Has two required arguments:
- max_digits
- The maximum number of digits allowed in the number
- decimal_places
- The number of decimal places to store with the number
For example, to store numbers up to 999 with a resolution of 2 decimal places,
you’d use:
models.DecimalField(..., max_digits=5, decimal_places=2)
And to store numbers up to approximately one billion with a resolution of 10
decimal places:
models.DecimalField(..., max_digits=19, decimal_places=10)
When assigning to a DecimalField, use either a decimal.Decimal object
or a string – not a Python float.
EmailField
A CharField that checks that the value is a valid e-mail address.
FileField
A file-upload field.
Note
The primary_key and unique arguments are not supported, and will
raise a TypeError if used.
Has one required argument:
- upload_to
A local filesystem path that will be appended to your MEDIA_ROOT
setting to determine the value of the django.core.files.File.url
attribute.
This path may contain “strftime formatting” (see the Python docs for the
time standard library module), which will be replaced using the
date/time of the file upload (so that uploaded files don’t fill up the given
directory).
This may also be a callable, such as a function, which will be called to
obtain the upload path, including the filename. This callable must be able
to accept two arguments, and return a Unix-style path (with forward slashes)
to be passed along to the storage system. The two arguments that will be
passed are:
Argument |
Description |
instance |
An instance of the model where the
FileField is defined. More specifically,
this is the particular instance where the
current file is being attached.
In most cases, this object will not have been
saved to the database yet, so if it uses the
default AutoField, it might not yet have a
value for its primary key field.
|
filename |
The filename that was originally given to the
file. This may or may not be taken into account
when determining the final destination path. |
Also has one optional argument:
- storage
- Optional. A storage object, which handles the storage and retrieval of your
files.
Using a FileField or an ImageField (see below) in a model
takes a few steps:
- In your settings file, you’ll need to define MEDIA_ROOT as the
full path to a directory where you’d like Django to store uploaded files.
(For performance, these files are not stored in the database.) Define
MEDIA_URL as the base public URL of that directory. Make sure
that this directory is writable by the Web server’s user account.
- Add the FileField or ImageField to your model, making
sure to define the upload_to option to tell Django
to which subdirectory of MEDIA_ROOT it should upload files.
- All that will be stored in your database is a path to the file
(relative to MEDIA_ROOT). You’ll most likely want to use the
convenience url function provided by
Django. For example, if your ImageField is called mug_shot,
you can get the absolute URL to your image in a template with
{{ object.mug_shot.url }}.
For example, say your MEDIA_ROOT is set to '/home/media', and
upload_to is set to 'photos/%Y/%m/%d'. The '%Y/%m/%d'
part of upload_to is strftime formatting; '%Y' is the
four-digit year, '%m' is the two-digit month and '%d' is the two-digit
day. If you upload a file on Jan. 15, 2007, it will be saved in the directory
/home/media/photos/2007/01/15.
If you want to retrieve the upload file’s on-disk filename, or a URL that refers
to that file, or the file’s size, you can use the
name, url and size attributes.
Note that whenever you deal with uploaded files, you should pay close attention
to where you’re uploading them and what type of files they are, to avoid
security holes. Validate all uploaded files so that you’re sure the files are
what you think they are. For example, if you blindly let somebody upload files,
without validation, to a directory that’s within your Web server’s document
root, then somebody could upload a CGI or PHP script and execute that script by
visiting its URL on your site. Don’t allow that.
By default, FileField instances are
created as varchar(100) columns in your database. As with other fields, you
can change the maximum length using the max_length argument.
FilePathField
A CharField whose choices are limited to the filenames in a certain
directory on the filesystem. Has three special arguments, of which the first is
required:
- path
- Required. The absolute filesystem path to a directory from which this
FilePathField should get its choices. Example: "/home/images".
- match
- Optional. A regular expression, as a string, that FilePathField
will use to filter filenames. Note that the regex will be applied to the
base filename, not the full path. Example: "foo.*\.txt$", which will
match a file called foo23.txt but not bar.txt or foo23.gif.
- recursive
- Optional. Either True or False. Default is False. Specifies
whether all subdirectories of path should be included.
Of course, these arguments can be used together.
The one potential gotcha is that match applies to the
base filename, not the full path. So, this example:
FilePathField(path="/home/images", match="foo.*", recursive=True)
...will match /home/images/bar/foo.gif but not /home/images/foo/bar.gif
because the match applies to the base filename
(foo.gif and bar.gif).
By default, FilePathField instances are
created as varchar(100) columns in your database. As with other fields, you
can change the maximum length using the max_length argument.
FloatField
A floating-point number represented in Python by a float instance.
ImageField
Like FileField, but validates that the uploaded object is a valid
image. Has two extra optional arguments:
- height_field
- Name of a model field which will be auto-populated with the height of the
image each time the model instance is saved.
- width_field
- Name of a model field which will be auto-populated with the width of the
image each time the model instance is saved.
In addition to the special attributes that are available for FileField``,
an ImageField also has height and width attributes, both of which
correspond to the image’s height and width in pixels.
Requires the Python Imaging Library, available at http://www.pythonware.com/products/pil/.
By default, ImageField instances are
created as varchar(100) columns in your database. As with other fields, you
can change the maximum length using the max_length argument.
IPAddressField
An IP address, in string format (e.g. '192.0.2.30').
NullBooleanField
Like a BooleanField, but allows NULL as one of the options. Use
this instead of a BooleanField with null=True.
PositiveIntegerField
Like an IntegerField, but must be positive.
PositiveSmallIntegerField
Like a PositiveIntegerField, but only allows values under a certain
(database-dependent) point.
SlugField
“Slug” is a newspaper term. A slug is a short label for something,
containing only letters, numbers, underscores or hyphens. They’re generally used
in URLs.
Like a CharField, you can specify max_length. If max_length is not
specified, Django will use a default length of 50.
Implies setting db_index to True.
SmallIntegerField
Like an IntegerField, but only allows values under a certain
(database-dependent) point.
TextField
A large text field.
Also see CharField for storing smaller bits of text.
TimeField
A time, represented in Python by a datetime.time instance. Accepts the same
auto-population options as DateField.
URLField
A CharField for a URL. Has one extra optional argument:
- verify_exists
- If True (the default), the URL given will be checked for existence
(i.e., the URL actually loads and doesn’t give a 404 response). It should
be noted that when using the single-threaded development server, validating
a url being served by the same server will hang.
This should not be a problem for multithreaded servers.
Like all CharField subclasses, URLField takes the optional
max_length argument. If you don’t specify
max_length, a default of 200 is used.
XMLField
A TextField that checks that the value is valid XML that matches a
given schema. Takes one required argument:
- schema_path
- The filesystem path to a RelaxNG schema against which to validate the
field. For more on RelaxNG, see http://www.relaxng.org/.
Universal Field Options
The following arguments are available to all field types. All are optional.
null
If True, Django will store empty values as NULL in the database. If
False, saving empty values will likely result in a database error. Default
is False.
Note that empty string values will always get stored as empty strings, not as
NULL. Only use null=True for non-string fields such as integers,
booleans and dates. For both types of fields, you will also need to set
blank=True if you wish to permit empty values in forms, as the
null parameter only affects database storage (see
blank).
Avoid using null on string-based fields such as
CharField and TextField unless you have an excellent reason.
If a string-based field has null=True, that means it has two possible values
for “no data”: NULL, and the empty string. In most cases, it’s redundant to
have two possible values for “no data;” Django’s convention is to use the empty
string, not NULL.
Note
When using the Oracle database backend, the null=True option will be
coerced for string-based fields that have the empty string as a possible
value, and the value NULL will be stored to denote the empty string.
For more on this, see the section “Making Date and Numeric Fields Optional” in
Chapter 6.
blank
If True, the field is allowed to be blank. Default is False.
Note that this is different than null. null is
purely database-related, whereas blank is validation-related. If
a field has blank=True, validation on Django’s admin site will allow entry
of an empty value. If a field has blank=False, the field will be required.
choices
An iterable (e.g., a list or tuple) of 2-tuples to use as choices for this
field.
A choices list looks like this:
YEAR_IN_SCHOOL_CHOICES = (
('FR', 'Freshman'),
('SO', 'Sophomore'),
('JR', 'Junior'),
('SR', 'Senior'),
('GR', 'Graduate'),
)
The first element in each tuple is the actual value to be stored. The second
element is the human-readable name for the option.
The choices list can be defined either as part of your model class:
class Foo(models.Model):
GENDER_CHOICES = (
('M', 'Male'),
('F', 'Female'),
)
gender = models.CharField(max_length=1, choices=GENDER_CHOICES)
or outside your model class altogether:
GENDER_CHOICES = (
('M', 'Male'),
('F', 'Female'),
)
class Foo(models.Model):
gender = models.CharField(max_length=1, choices=GENDER_CHOICES)
You can also collect your available choices into named groups that can
be used for organizational purposes in a form:
MEDIA_CHOICES = (
('Audio', (
('vinyl', 'Vinyl'),
('cd', 'CD'),
)
),
('Video', (
('vhs', 'VHS Tape'),
('dvd', 'DVD'),
)
),
('unknown', 'Unknown'),
)
The first element in each tuple is the name to apply to the group. The
second element is an iterable of 2-tuples, with each 2-tuple containing
a value and a human-readable name for an option. Grouped options may be
combined with ungrouped options within a single list (such as the
unknown option in this example).
Finally, note that choices can be any iterable object – not necessarily a list
or tuple. This lets you construct choices dynamically. But if you find yourself
hacking choices to be dynamic, you’re probably better off using a
proper database table with a ForeignKey`. choices is
meant for static data that doesn’t change much, if ever.
db_column
The name of the database column to use for this field. If this isn’t given,
Django will use the field’s name.
If your database column name is an SQL reserved word, or contains
characters that aren’t allowed in Python variable names – notably, the
hyphen – that’s OK. Django quotes column and table names behind the
scenes.
db_index
If True, django-admin.py sqlindexes will output a
CREATE INDEX statement for this field.
db_tablespace
The name of the database tablespace to use for this field’s index, if this field
is indexed. The default is the project’s DEFAULT_INDEX_TABLESPACE
setting, if set, or the db_tablespace of the model, if any. If
the backend doesn’t support tablespaces, this option is ignored.
default
The default value for the field. This can be a value or a callable object. If
callable it will be called every time a new object is created.
editable
If False, the field will not be editable in the admin or via forms
automatically generated from the model class. Default is True.
help_text
Extra “help” text to be displayed under the field on the object’s admin form.
It’s useful for documentation even if your object doesn’t have an admin form.
Note that this value is not HTML-escaped when it’s displayed in the admin
interface. This lets you include HTML in help_text if you so
desire. For example:
help_text="Please use the following format: <em>YYYY-MM-DD</em>."
Alternatively you can use plain text and
django.utils.html.escape() to escape any HTML special characters.
primary_key
If True, this field is the primary key for the model.
If you don’t specify primary_key=True for any fields in your model, Django
will automatically add an AutoField to hold the primary key, so you
don’t need to set primary_key=True on any of your fields unless you want to
override the default primary-key behavior.
primary_key=True implies null=False and unique=True.
Only one primary key is allowed on an object.
unique
If True, this field must be unique throughout the table.
This is enforced at the database level and at the level of forms created with
ModelForm (including forms in the Django admin site). If
you try to save a model with a duplicate value in a unique
field, an IntegrityError will be raised by the model’s
save method.
This option is valid on all field types except ManyToManyField,
FileField and ImageField.
unique_for_date
Set this to the name of a DateField or DateTimeField to
require that this field be unique for the value of the date field.
For example, if you have a field title that has
unique_for_date="pub_date", then Django wouldn’t allow the entry of two
records with the same title and pub_date.
This is enforced at the level of forms created with ModelForm (including
forms in the Django admin site) but not at the database level.
unique_for_month
Like unique_for_date, but requires the field to be unique with
respect to the month.
unique_for_year
Like unique_for_date and unique_for_month.
verbose_name
A human-readable name for the field. If the verbose name isn’t given, Django
will automatically create it using the field’s attribute name, converting
underscores to spaces.
Relationships
Clearly, the power of relational databases lies in relating tables to each
other. Django offers ways to define the three most common types of database
relationships: many-to-one, many-to-many, and one-to-one.
ForeignKey
A many-to-one relationship. Requires a positional argument: the class to which
the model is related.
To create a recursive relationship – an object that has a many-to-one
relationship with itself – use models.ForeignKey('self').
If you need to create a relationship on a model that has not yet been defined,
you can use the name of the model, rather than the model object itself:
class Car(models.Model):
manufacturer = models.ForeignKey('Manufacturer')
# ...
class Manufacturer(models.Model):
# ...
Note, however, that this only refers to models in the same models.py file.
To refer to models defined in another
application, you must instead explicitly specify the application label. For
example, if the Manufacturer model above is defined in another application
called production, you’d need to use:
class Car(models.Model):
manufacturer = models.ForeignKey('production.Manufacturer')
Behind the scenes, Django appends "_id" to the field name to create its
database column name. In the above example, the database table for the Car
model will have a manufacturer_id column. (You can change this explicitly by
specifying db_column) However, your code should never have to
deal with the database column name, unless you write custom SQL. You’ll always
deal with the field names of your model object.
ForeignKey accepts an extra set of arguments – all optional – that
define the details of how the relation works.
- limit_choices_to
A dictionary of lookup arguments and values
that limit the available admin choices for this object. Use this with
functions from the Python datetime module to limit choices of objects by
date. For example:
limit_choices_to = {'pub_date__lte': datetime.now}
only allows the choice of related objects with a pub_date before the
current date/time to be chosen.
limit_choices_to has no effect on the inline FormSets that are created
to display related objects in the admin.
- related_name
- The name to use for the relation from the related object back to this one.
- to_field
- The field on the related object that the relation is to. By default, Django
uses the primary key of the related object.
ManyToManyField
A many-to-many relationship. Requires a positional argument: the class to which
the model is related. This works exactly the same as it does for
ForeignKey, including all the options regarding recursive relationships
and lazy relationships.
Behind the scenes, Django creates an intermediary join table to represent the
many-to-many relationship. By default, this table name is generated using the
names of the two tables being joined. Since some databases don’t support table
names above a certain length, these table names will be automatically
truncated to 64 characters and a uniqueness hash will be used. This means you
might see table names like author_books_9cdf4; this is perfectly normal.
You can manually provide the name of the join table using the
db_table option.
ManyToManyField accepts an extra set of arguments – all optional –
that control how the relationship functions.
- related_name
- Same as related_name in ForeignKey.
- limit_choices_to
Same as limit_choices_to in ForeignKey.
limit_choices_to has no effect when used on a ManyToManyField with a
custom intermediate table specified using the
through paramter.
- symmetrical
Only used in the definition of ManyToManyFields on self. Consider the
following model:
class Person(models.Model):
friends = models.ManyToManyField("self")
When Django processes this model, it identifies that it has a
ManyToManyField on itself, and as a result, it doesn’t add a
person_set attribute to the Person class. Instead, the
ManyToManyField is assumed to be symmetrical – that is, if I am
your friend, then you are my friend.
If you do not want symmetry in many-to-many relationships with self, set
symmetrical to False. This will force Django to
add the descriptor for the reverse relationship, allowing
ManyToManyField relationships to be non-symmetrical.
- through
Django will automatically generate a table to manage many-to-many
relationships. However, if you want to manually specify the intermediary
table, you can use the through option to specify
the Django model that represents the intermediate table that you want to
use.
The most common use for this option is when you want to associate
extra data with a many-to-many relationship.
- db_table
- The name of the table to create for storing the many-to-many data. If this
is not provided, Django will assume a default name based upon the names of
the two tables being joined.
OneToOneField
A one-to-one relationship. Conceptually, this is similar to a
ForeignKey with unique=True, but the
“reverse” side of the relation will directly return a single object.
This is most useful as the primary key of a model which “extends”
another model in some way; multi-table-inheritance is
implemented by adding an implicit one-to-one relation from the child
model to the parent model, for example.
One positional argument is required: the class to which the model will be
related. This works exactly the same as it does for ForeignKey,
including all the options regarding recursive relationships and lazy
relationships.
Additionally, OneToOneField accepts all of the extra arguments
accepted by ForeignKey, plus one extra argument:
- parent_link
- When True and used in a model which inherits from another
(concrete) model, indicates that this field should be used as the
link back to the parent class, rather than the extra
OneToOneField which would normally be implicitly created by
subclassing.
Model Metadata Options
Model-specific metadata lives in a class Meta defined in the body of your
model class:
class Book(models.Model):
title = models.CharField(maxlength=100)
class Meta:
# model metadata options go here
...
Model metadata is “anything that’s not a field,” such as ordering options and so forth.
The sections that follow present a list of all possible Meta options.
No options are required. Adding class Meta to a model is completely optional.
abstract
If True, this model will be an abstract base class. See the Django
documentation for more on abstract base classes.
db_table
The name of the database table to use for the model:
Table names
To save you time, Django automatically derives the name of the database table
from the name of your model class and the app that contains it. A model’s
database table name is constructed by joining the model’s “app label” – the
name you used in manage.py startapp – to the model’s class name, with an
underscore between them.
For example, if you have an app bookstore (as created by
manage.py startapp bookstore), a model defined as class Book will have
a database table named bookstore_book.
To override the database table name, use the db_table parameter in
class Meta.
If your database table name is an SQL reserved word, or contains characters that
aren’t allowed in Python variable names – notably, the hyphen – that’s OK.
Django quotes column and table names behind the scenes.
db_tablespace
The name of the database tablespace to use for the model. If the backend doesn’t
support tablespaces, this option is ignored.
get_latest_by
The name of a DateField or DateTimeField in the model. This
specifies the default field to use in your model Manager‘s
latest method.
Example:
get_latest_by = "order_date"
managed
Defaults to True, meaning Django will create the appropriate database
tables in django-admin.py syncdb and remove them as part of a reset
management command. That is, Django manages the database tables’ lifecycles.
If False, no database table creation or deletion operations will be
performed for this model. This is useful if the model represents an existing
table or a database view that has been created by some other means. This is
the only difference when managed is False. All other aspects of
model handling are exactly the same as normal. This includes
Adding an automatic primary key field to the model if you don’t declare
it. To avoid confusion for later code readers, it’s recommended to
specify all the columns from the database table you are modeling when
using unmanaged models.
If a model with managed=False contains a
ManyToManyField that points to another
unmanaged model, then the intermediary table for the many-to-many join
will also not be created. However, the intermediary table between one
managed and one unmanaged model will be created.
If you need to change this default behavior, create the intermediary
table as an explicit model (with managed set as needed) and use the
through attribute to make the relation use your
custom model.
For tests involving models with managed=False, it’s up to you to ensure
the correct tables are created as part of the test setup.
If you’re interested in changing the Python-level behavior of a model class,
you could use managed=False and create a copy of an existing model.
However, there’s a better approach for that situation: proxy-models.
ordering
The default ordering for the object, for use when obtaining lists of objects:
ordering = ['-order_date']
This is a tuple or list of strings. Each string is a field name with an optional
“-” prefix, which indicates descending order. Fields without a leading “-” will
be ordered ascending. Use the string ”?” to order randomly.
Note
Regardless of how many fields are in ordering, the admin
site uses only the first field.
For example, to order by a pub_date field ascending, use this:
To order by pub_date descending, use this:
To order by pub_date descending, then by author ascending, use this:
ordering = ['-pub_date', 'author']
proxy
If set to True, a model which subclasses another model will be treated as
a proxy model. For more on proxy models, see the Django documentation.
unique_together
Sets of field names that, taken together, must be unique:
unique_together = (("driver", "restaurant"),)
This is a list of lists of fields that must be unique when considered together.
It’s used by ModelForm forms (including forms in the Django admin site) and
is enforced at the database level (i.e., the appropriate UNIQUE statements
are included in the CREATE TABLE statement).
For convenience, unique_together can be a single sequence when dealing with a single
set of fields:
unique_together = ("driver", "restaurant")
verbose_name
A human-readable name for the object, singular:
If this isn’t given, Django will use a munged version of the class name:
CamelCase becomes camel case.
verbose_name_plural
The plural name for the object:
verbose_name_plural = "stories"
If this isn’t given, Django will use verbose_name + "s".
Appendix B: Database API Reference
Django’s database API is the other half of the model API discussed in Appendix
A. Once you’ve defined a model, you’ll use this API any time you need to
access the database. You’ve seen examples of this API in use throughout the
book; this appendix explains all the various options in detail.
Like the model APIs discussed in Appendix A, though these APIs are considered
very stable, the Django developers consistently add new shortcuts and
conveniences. It’s a good idea to always check the latest documentation online,
available at http://docs.djangoproject.com/.
Throughout this reference, we’ll refer to the following models, which might form
a simple blog application:
from django.db import models
class Blog(models.Model):
name = models.CharField(max_length=100)
tagline = models.TextField()
def __unicode__(self):
return self.name
class Author(models.Model):
name = models.CharField(max_length=50)
email = models.EmailField()
def __unicode__(self):
return self.name
class Entry(models.Model):
blog = models.ForeignKey(Blog)
headline = models.CharField(max_length=255)
body_text = models.TextField()
pub_date = models.DateTimeField()
authors = models.ManyToManyField(Author)
def __unicode__(self):
return self.headline
Creating Objects
To create an object, instantiate it using keyword arguments to the model class, and
then call save() to save it to the database:
>>> from mysite.blog.models import Blog
>>> b = Blog(name='Beatles Blog', tagline='All the latest Beatles news.')
>>> b.save()
This performs an INSERT SQL statement behind the scenes. Django doesn’t hit
the database until you explicitly call save().
The save() method has no return value.
To create an object and save it all in one step, see the create manager
method.
What Happens When You Save?
When you save an object, Django performs the following steps:
Emit a pre_save signal. This provides a notification that
an object is about to be saved. You can register a listener that
will be invoked whenever this signal is emitted. Check the online
documentation for more on signals.
Preprocess the data. Each field on the object is asked to
perform any automated data modification that the field may need
to perform.
Most fields do no preprocessing – the field data is kept as is.
Preprocessing is only used on fields that have special behavior,
like file fields.
Prepare the data for the database. Each field is asked to provide
its current value in a data type that can be written to the database.
Most fields require no data preparation. Simple data types, such as
integers and strings, are “ready to write” as a Python object. However,
more complex data types often require some modification. For example,
DateFields use a Python datetime object to store data.
Databases don’t store datetime objects, so the field value
must be converted into an ISO-compliant date string for insertion
into the database.
Insert the data into the database. The preprocessed, prepared
data is then composed into an SQL statement for insertion into the
database.
Emit a post_save signal. As with the pre_save signal, this
is used to provide notification that an object has been successfully
saved.
Autoincrementing Primary Keys
For convenience, each model is given an autoincrementing primary key field
named id unless you explicitly specify primary_key=True on a field (see
the section titled “AutoField” in Appendix A).
If your model has an AutoField, that autoincremented value will be
calculated and saved as an attribute on your object the first time you call
save():
>>> b2 = Blog(name='Cheddar Talk', tagline='Thoughts on cheese.')
>>> b2.id # Returns None, because b doesn't have an ID yet.
None
>>> b2.save()
>>> b2.id # Returns the ID of your new object.
14
There’s no way to tell what the value of an ID will be before you call
save(), because that value is calculated by your database, not by Django.
If a model has an AutoField but you want to define a new object’s ID
explicitly when saving, just define it explicitly before saving, rather than
relying on the autoassignment of the ID:
>>> b3 = Blog(id=3, name='Cheddar Talk', tagline='Thoughts on cheese.')
>>> b3.id
3
>>> b3.save()
>>> b3.id
3
If you assign auto-primary-key values manually, make sure not to use an
already existing primary key value! If you create a new object with an explicit
primary key value that already exists in the database, Django will assume you’re
changing the existing record rather than creating a new one.
Given the preceding 'Cheddar Talk' blog example, this example would override the
previous record in the database:
>>> b4 = Blog(id=3, name='Not Cheddar', tagline='Anything but cheese.')
>>> b4.save() # Overrides the previous blog with ID=3!
Explicitly specifying auto-primary-key values is mostly useful for bulk-saving
objects, when you’re confident you won’t have primary key collision.
Saving Changes to Objects
To save changes to an object that’s already in the database, use save().
Given a Blog instance b5 that has already been saved to the database,
this example changes its name and updates its record in the database:
>>> b5.name = 'New name'
>>> b5.save()
This performs an UPDATE SQL statement behind the scenes. Again, Django
doesn’t hit the database until you explicitly call save().
How Django Knows When to UPDATE and When to INSERT
You may have noticed that Django database objects use the same save() method
for creating and changing objects. Django abstracts the need to use
INSERT or UPDATE SQL statements. Specifically, when you call
save(), Django follows this algorithm:
- If the object’s primary key attribute is set to a value that evaluates
to True (i.e., a value other than None or the empty string),
Django executes a SELECT query to determine whether a record with
the given primary key already exists.
- If the record with the given primary key does already exist, Django
executes an UPDATE query.
- If the object’s primary key attribute is not set, or if it’s set but
a record doesn’t exist, Django executes an INSERT.
Because of this, you should be careful not to specify a primary key value
explicitly when saving new objects if you cannot guarantee the primary key
value is unused.
Updating ForeignKey fields works exactly the same way; simply assign an
object of the right type to the field in question:
>>> joe = Author.objects.create(name="Joe")
>>> entry.author = joe
>>> entry.save()
Django will complain if you try to assign an object of the wrong type.
Retrieving Objects
Throughout the book you’ve seen objects retrieved using code like the following:
>>> blogs = Blog.objects.filter(author__name__contains="Joe")
There are quite a few “moving parts” behind the scenes here: when you
retrieve objects from the database, you’re actually constructing a QuerySet
using the model’s Manager. This QuerySet knows how to execute SQL and
return the requested objects.
Appendix A looked at both of these objects from a model-definition point of
view; now we’ll look at how they operate.
A QuerySet represents a collection of objects from your database. It can
have zero, one, or many filters – criteria that narrow down the collection
based on given parameters. In SQL terms, a QuerySet equates to a SELECT
statement, and a filter is a WHERE.
You get a QuerySet by using your model’s Manager. Each model has at
least one Manager, and it’s called objects by default. Access it
directly via the model class, like so:
>>> Blog.objects
<django.db.models.manager.Manager object at 0x137d00d>
Managers are accessible only via model classes, rather than from model
instances, to enforce a separation between “table-level” operations and
“record-level” operations:
>>> b = Blog(name='Foo', tagline='Bar')
>>> b.objects
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: Manager isn't accessible via Blog instances.
The Manager is the main source of QuerySets for a model. It acts as a
“root” QuerySet that describes all objects in the model’s database table.
For example, Blog.objects is the initial QuerySet that contains all
Blog objects in the database.
Caching and QuerySets
Each QuerySet contains a cache, to minimize database access. It’s important
to understand how it works, in order to write the most efficient code.
In a newly created QuerySet, the cache is empty. The first time a
QuerySet is evaluated – and, hence, a database query happens – Django
saves the query results in the QuerySet‘s cache and returns the results
that have been explicitly requested (e.g., the next element, if the
QuerySet is being iterated over). Subsequent evaluations of the
QuerySet reuse the cached results.
Keep this caching behavior in mind, because it may bite you if you don’t use
your QuerySets correctly. For example, the following will create two
QuerySets, evaluate them, and throw them away:
print [e.headline for e in Entry.objects.all()]
print [e.pub_date for e in Entry.objects.all()]
That means the same database query will be executed twice, effectively doubling
your database load. Also, there’s a possibility the two lists may not include
the same database records, because an Entry may have been added or deleted
in the split second between the two requests.
To avoid this problem, simply save the QuerySet and reuse it:
queryset = Poll.objects.all()
print [p.headline for p in queryset] # Evaluate the query set.
print [p.pub_date for p in queryset] # Reuse the cache from the evaluation.
Filtering Objects
The simplest way to retrieve objects from a table is to get all of them.
To do this, use the all() method on a Manager:
The all() method returns a QuerySet of all the objects in the database.
Usually, though, you’ll need to select only a subset of the complete set of
objects. To create such a subset, you refine the initial QuerySet, adding filter
conditions. You’ll usually do this using the filter() and/or exclude()
methods:
>>> y2006 = Entry.objects.filter(pub_date__year=2006)
>>> not2006 = Entry.objects.exclude(pub_date__year=2006)
filter() and exclude() both take field lookup arguments, which are
discussed in detail shortly.
Chaining Filters
The result of refining a QuerySet is itself a QuerySet, so it’s
possible to chain refinements together, for example:
>>> qs = Entry.objects.filter(headline__startswith='What')
>>> qs = qs.exclude(pub_date__gte=datetime.datetime.now())
>>> qs = qs.filter(pub_date__gte=datetime.datetime(2005, 1, 1))
This takes the initial QuerySet of all entries in the database, adds a
filter, then an exclusion, and then another filter. The final result is a
QuerySet containing all entries with a headline that starts with “What”
that were published between January 1, 2005, and the current day.
It’s important to point out here that QuerySets are lazy – the act of creating
a QuerySet doesn’t involve any database activity. In fact, the three preceding lines
don’t make any database calls; you can chain filters together all day
long and Django won’t actually run the query until the QuerySet is
evaluated.
You can evaluate a QuerySet in any following ways:
Iterating: A QuerySet is iterable, and it executes its database query the first
time you iterate over it. For example, the following QuerySet isn’t evaluated
until it’s iterated over in the for loop:
qs = Entry.objects.filter(pub_date__year=2006)
qs = qs.filter(headline__icontains="bill")
for e in qs:
print e.headline
This prints all headlines from 2006 that contain “bill” but causes
only one database hit.
Printing it: A QuerySet is evaluated when you call repr() on it.
This is for convenience in the Python interactive interpreter, so you can
immediately see your results when using the API interactively.
Slicing: As explained in the upcoming “Limiting QuerySets” section,
a QuerySet can be sliced using Python’s array-slicing syntax.
Usually slicing a QuerySet returns another (unevaluated)``QuerySet``,
but Django will execute the database query if you use the “step”
parameter of slice syntax.
Converting to a list: You can force evaluation of a QuerySet by calling
list() on it, for example:
>>> entry_list = list(Entry.objects.all())
Be warned, though, that this could have a large memory overhead, because
Django will load each element of the list into memory. In contrast,
iterating over a QuerySet will take advantage of your database to load
data and instantiate objects only as you need them.
Filtered QuerySets Are Unique
Each time you refine a QuerySet, you get a brand-new QuerySet that
is in no way bound to the previous QuerySet. Each refinement creates a
separate and distinct QuerySet that can be stored, used, and reused:
q1 = Entry.objects.filter(headline__startswith="What")
q2 = q1.exclude(pub_date__gte=datetime.now())
q3 = q1.filter(pub_date__gte=datetime.now())
These three QuerySets are separate. The first is a base QuerySet
containing all entries that contain a headline starting with “What”. The
second is a subset of the first, with an additional criterion that excludes
records whose pub_date is greater than now. The third is a subset of the
first, with an additional criterion that selects only the records whose
pub_date is greater than now. The initial QuerySet (q1) is
unaffected by the refinement process.
Limiting QuerySets
Use Python’s array-slicing syntax to limit your QuerySet to a certain number
of results. This is the equivalent of SQL’s LIMIT and OFFSET clauses.
For example, this returns the first five entries (LIMIT 5):
>>> Entry.objects.all()[:5]
This returns the sixth through tenth entries (OFFSET 5 LIMIT 5):
>>> Entry.objects.all()[5:10]
Generally, slicing a QuerySet returns a new QuerySet – it doesn’t
evaluate the query. An exception is if you use the “step” parameter
of Python slice syntax. For example, this would actually execute the query in
order to return a list of every second object of the first ten:
>>> Entry.objects.all()[:10:2]
To retrieve a single object rather than a list (e.g., SELECT foo FROM bar
LIMIT 1), use a simple index instead of a slice. For example, this returns the
first Entry in the database, after ordering entries alphabetically by
headline:
>>> Entry.objects.order_by('headline')[0]
This is roughly equivalent to the following:
>>> Entry.objects.order_by('headline')[0:1].get()
Note, however, that the first of these will raise IndexError while the
second will raise DoesNotExist if no objects match the given criteria.
Query Methods That Return New QuerySets
Django provides a range of QuerySet refinement methods that modify either
the types of results returned by the QuerySet or the way its SQL query is
executed. These methods are described in the sections that follow. Some of the
methods take field lookup arguments, which are discussed in detail a bit later
on.
filter(**lookup)
Returns a new QuerySet containing objects that match the given lookup
parameters.
exclude(**lookup)
Returns a new QuerySet containing objects that do not match the given
lookup parameters.
order_by(*fields)
By default, results returned by a QuerySet are ordered by the ordering
tuple given by the ordering option in the model’s metadata (see Appendix A). You can
override this for a particular query using the order_by() method:
>> Entry.objects.filter(pub_date__year=2005).order_by('-pub_date', 'headline')
This result will be ordered by pub_date descending, then by
headline ascending. The negative sign in front of "-pub_date" indicates
descending order. Ascending order is assumed if the - is absent. To order
randomly, use "?", like so:
>>> Entry.objects.order_by('?')
Ordering randomly incurs a performance penalty, though, so you shouldn’t use it
for anything with heavy load.
If no ordering is specified in a model’s class Meta and a QuerySet from
that model doesn’t include order_by(), then ordering will be undefined and
may differ from query to query.
distinct()
Returns a new QuerySet that uses SELECT DISTINCT in its SQL query. This
eliminates duplicate rows from the query results.
By default, a QuerySet will not eliminate duplicate rows. In practice, this
is rarely a problem, because simple queries such as Blog.objects.all() don’t
introduce the possibility of duplicate result rows.
However, if your query spans multiple tables, it’s possible to get duplicate
results when a QuerySet is evaluated. That’s when you’d use distinct().
values(*fields)
Returns a special QuerySet that evaluates to a list of dictionaries instead
of model-instance objects. Each of those dictionaries represents an object, with
the keys corresponding to the attribute names of model objects:
# This list contains a Blog object.
>>> Blog.objects.filter(name__startswith='Beatles')
[Beatles Blog]
# This list contains a dictionary.
>>> Blog.objects.filter(name__startswith='Beatles').values()
[{'id': 1, 'name': 'Beatles Blog', 'tagline': 'All the latest Beatles news.'}]
values() takes optional positional arguments, *fields, which specify
field names to which the SELECT should be limited. If you specify the
fields, each dictionary will contain only the field keys/values for the fields
you specify. If you don’t specify the fields, each dictionary will contain a
key and value for every field in the database table:
>>> Blog.objects.values()
[{'id': 1, 'name': 'Beatles Blog', 'tagline': 'All the latest Beatles news.'}],
>>> Blog.objects.values('id', 'name')
[{'id': 1, 'name': 'Beatles Blog'}]
This method is useful when you know you’re only going to need values from a
small number of the available fields and you won’t need the functionality of a
model instance object. It’s more efficient to select only the fields you need to
use.
dates(field, kind, order)
Returns a special QuerySet that evaluates to a list of datetime.datetime
objects representing all available dates of a particular kind within the
contents of the QuerySet.
The field argument must be the name of a DateField or DateTimeField
of your model. The kind argument must be either "year", "month", or
"day". Each datetime.datetime object in the result list is “truncated”
to the given type:
- "year" returns a list of all distinct year values for the field.
- "month" returns a list of all distinct year/month values for the field.
- "day" returns a list of all distinct year/month/day values for the field.
order, which defaults to 'ASC', should be either 'ASC' or
'DESC'. This specifies how to order the results.
Here are a few examples:
>>> Entry.objects.dates('pub_date', 'year')
[datetime.datetime(2005, 1, 1)]
>>> Entry.objects.dates('pub_date', 'month')
[datetime.datetime(2005, 2, 1), datetime.datetime(2005, 3, 1)]
>>> Entry.objects.dates('pub_date', 'day')
[datetime.datetime(2005, 2, 20), datetime.datetime(2005, 3, 20)]
>>> Entry.objects.dates('pub_date', 'day', order='DESC')
[datetime.datetime(2005, 3, 20), datetime.datetime(2005, 2, 20)]
>>> Entry.objects.filter(headline__contains='Lennon').dates('pub_date', 'day')
[datetime.datetime(2005, 3, 20)]
QuerySet Methods That Do Not Return QuerySets
The following QuerySet methods evaluate the QuerySet and return
something other than a QuerySet – a single object, value, and so forth.
get(**lookup)
Returns the object matching the given lookup parameters, which should be in the
format described in the “Field Lookups” section. This raises AssertionError if
more than one object was found.
get() raises a DoesNotExist exception if an object wasn’t found for the
given parameters. The DoesNotExist exception is an attribute of the model
class, for example:
>>> Entry.objects.get(id='foo') # raises Entry.DoesNotExist
The DoesNotExist exception inherits from
django.core.exceptions.ObjectDoesNotExist, so you can target multiple
DoesNotExist exceptions:
>>> from django.core.exceptions import ObjectDoesNotExist
>>> try:
... e = Entry.objects.get(id=3)
... b = Blog.objects.get(id=1)
... except ObjectDoesNotExist:
... print "Either the entry or blog doesn't exist."
create(**kwargs)
This is a convenience method for creating an object and saving it all in one step.
It lets you compress two common steps:
>>> p = Person(first_name="Bruce", last_name="Springsteen")
>>> p.save()
into a single line:
>>> p = Person.objects.create(first_name="Bruce", last_name="Springsteen")
get_or_create(**kwargs)
This is a convenience method for looking up an object and creating one if it doesn’t
exist. It returns a tuple of (object, created), where object is the retrieved or
created object and created is a Boolean specifying whether a new object was
created.
This method is meant as a shortcut to boilerplate code and is mostly useful for
data-import scripts. For example:
try:
obj = Person.objects.get(first_name='John', last_name='Lennon')
except Person.DoesNotExist:
obj = Person(first_name='John', last_name='Lennon', birthday=date(1940, 10, 9))
obj.save()
This pattern gets quite unwieldy as the number of fields in a model increases. The
previous example can be rewritten using get_or_create() like so:
obj, created = Person.objects.get_or_create(
first_name = 'John',
last_name = 'Lennon',
defaults = {'birthday': date(1940, 10, 9)}
)
Any keyword arguments passed to get_or_create() – except an optional one
called defaults – will be used in a get() call. If an object is found,
get_or_create() returns a tuple of that object and False. If an object
is not found, get_or_create() will instantiate and save a new object,
returning a tuple of the new object and True. The new object will be created
according to this algorithm:
defaults = kwargs.pop('defaults', {})
params = dict([(k, v) for k, v in kwargs.items() if '__' not in k])
params.update(defaults)
obj = self.model(**params)
obj.save()
In English, that means start with any non-'defaults' keyword argument that
doesn’t contain a double underscore (which would indicate a nonexact lookup).
Then add the contents of defaults, overriding any keys if necessary, and
use the result as the keyword arguments to the model class.
If you have a field named defaults and want to use it as an exact lookup in
get_or_create(), just use 'defaults__exact' like so:
Foo.objects.get_or_create(
defaults__exact = 'bar',
defaults={'defaults': 'bar'}
)
Note
As mentioned earlier, get_or_create() is mostly useful in scripts that
need to parse data and create new records if existing ones aren’t available.
But if you need to use get_or_create() in a view, please make sure to
use it only in POST requests unless you have a good reason not to.
GET requests shouldn’t have any effect on data; use POST whenever a
request to a page has a side effect on your data.
count()
Returns an integer representing the number of objects in the database matching
the QuerySet. count() never raises exceptions. Here’s an example:
# Returns the total number of entries in the database.
>>> Entry.objects.count()
4
# Returns the number of entries whose headline contains 'Lennon'
>>> Entry.objects.filter(headline__contains='Lennon').count()
1
count() performs a SELECT COUNT(*) behind the scenes, so you should
always use count() rather than loading all of the records into Python objects
and calling len() on the result.
Depending on which database you’re using (e.g., PostgreSQL or MySQL),
count() may return a long integer instead of a normal Python integer. This
is an underlying implementation quirk that shouldn’t pose any real-world
problems.
in_bulk(id_list)
Takes a list of primary key values and returns a dictionary mapping each
primary key value to an instance of the object with the given ID, for example:
>>> Blog.objects.in_bulk([1])
{1: Beatles Blog}
>>> Blog.objects.in_bulk([1, 2])
{1: Beatles Blog, 2: Cheddar Talk}
>>> Blog.objects.in_bulk([])
{}
IDs of objects that don’t exist are silently dropped from the result dictionary.
If you pass in_bulk() an empty list, you’ll get an empty dictionary.
latest(field_name=None)
Returns the latest object in the table, by date, using the field_name
provided as the date field. This example returns the latest Entry in the
table, according to the pub_date field:
>>> Entry.objects.latest('pub_date')
If your model’s Meta specifies get_latest_by, you can leave off the
field_name argument to latest(). Django will use the field specified in
get_latest_by by default.
Like get(), latest() raises DoesNotExist if an object doesn’t exist
with the given parameters.
Field Lookups
Field lookups are how you specify the meat of an SQL WHERE clause. They’re
specified as keyword arguments to the QuerySet methods filter(),
exclude(), and get().
Basic lookup keyword arguments take the form field__lookuptype=value
(note the double underscore). For example:
>>> Entry.objects.filter(pub_date__lte='2006-01-01')
translates (roughly) into the following SQL:
SELECT * FROM blog_entry WHERE pub_date <= '2006-01-01';
If you pass an invalid keyword argument, a lookup function will raise
TypeError.
The supported lookup types follow.
exact
Performs an exact match:
>>> Entry.objects.get(headline__exact="Man bites dog")
This matches any object with the exact headline “Man bites dog”.
If you don’t provide a lookup type – that is, if your keyword argument doesn’t
contain a double underscore – the lookup type is assumed to be exact.
For example, the following two statements are equivalent:
>>> Blog.objects.get(id__exact=14) # Explicit form
>>> Blog.objects.get(id=14) # __exact is implied
This is for convenience, because exact lookups are the common case.
iexact
Performs a case-insensitive exact match:
>>> Blog.objects.get(name__iexact='beatles blog')
This will match 'Beatles Blog', 'beatles blog',
'BeAtLes BLoG', and so forth.
contains
Performs a case-sensitive containment test:
Entry.objects.get(headline__contains='Lennon')
This will match the headline 'Today Lennon honored' but not
'today lennon honored'.
SQLite doesn’t support case-sensitive LIKE statements; when using
SQLite,``contains`` acts like icontains.
Escaping Percent Signs and Underscores in LIKE Statements
The field lookups that equate to LIKE SQL statements (iexact,
contains, icontains, startswith, istartswith, endswith,
and iendswith) will automatically escape the two special characters used in
LIKE statements – the percent sign and the underscore. (In a LIKE
statement, the percent sign signifies a multiple-character wildcard and the
underscore signifies a single-character wildcard.)
This means things should work intuitively, so the abstraction doesn’t leak.
For example, to retrieve all the entries that contain a percent sign, just use
the percent sign as any other character:
Entry.objects.filter(headline__contains='%')
Django takes care of the quoting for you. The resulting SQL will look something
like this:
SELECT ... WHERE headline LIKE '%\%%';
The same goes for underscores. Both percentage signs and underscores are handled
for you transparently.
icontains
Performs a case-insensitive containment test:
>>> Entry.objects.get(headline__icontains='Lennon')
Unlike contains, icontains will match 'today lennon honored'.
gt, gte, lt, and lte
These represent greater than, greater than or equal to, less than, and less
than or equal to:
>>> Entry.objects.filter(id__gt=4)
>>> Entry.objects.filter(id__lt=15)
>>> Entry.objects.filter(id__gte=0)
These queries return any object with an ID greater than 4, an ID less than 15,
and an ID greater than or equal to 1, respectively.
You’ll usually use these on numeric fields. Be careful with character fields
since character order isn’t always what you’d expect (i.e., the string “4” sorts
after the string “10”).
in
Filters where a value is on a given list:
Entry.objects.filter(id__in=[1, 3, 4])
This returns all objects with the ID 1, 3, or 4.
startswith
Performs a case-sensitive starts-with:
>>> Entry.objects.filter(headline__startswith='Will')
This will return the headlines “Will he run?” and “Willbur named judge”, but not
“Who is Will?” or “will found in crypt”.
istartswith
Performs a case-insensitive starts-with:
>>> Entry.objects.filter(headline__istartswith='will')
This will return the headlines “Will he run?”, “Willbur named judge”, and
“will found in crypt”, but not “Who is Will?”
endswith and iendswith
Perform case-sensitive and case-insensitive ends-with:
>>> Entry.objects.filter(headline__endswith='cats')
>>> Entry.objects.filter(headline__iendswith='cats')
Similar to startswith and istartswith.
range
Performs an inclusive range check:
>>> start_date = datetime.date(2005, 1, 1)
>>> end_date = datetime.date(2005, 3, 31)
>>> Entry.objects.filter(pub_date__range=(start_date, end_date))
You can use range anywhere you can use BETWEEN in SQL – for dates,
numbers, and even characters.
year, month, and day
For date/datetime fields, perform exact year, month, or day matches:
# Return all entries published in 2005
>>>Entry.objects.filter(pub_date__year=2005)
# Return all entries published in December
>>> Entry.objects.filter(pub_date__month=12)
# Return all entries published on the 3rd of the month
>>> Entry.objects.filter(pub_date__day=3)
# Combination: return all entries on Christmas of any year
>>> Entry.objects.filter(pub_date__month=12, pub_date_day=25)
isnull
Takes either True or False, which correspond to SQL queries of
IS NULL and IS NOT NULL, respectively:
>>> Entry.objects.filter(pub_date__isnull=True)
search
A Boolean full-text search that takes advantage of full-text indexing. This is like
contains but is significantly faster due to full-text indexing.
Note this is available only in MySQL and requires direct manipulation of the
database to add the full-text index.
The pk Lookup Shortcut
For convenience, Django provides a pk lookup type, which stands for
“primary_key”.
In the example Blog model, the primary key is the id field, so these
three statements are equivalent:
>>> Blog.objects.get(id__exact=14) # Explicit form
>>> Blog.objects.get(id=14) # __exact is implied
>>> Blog.objects.get(pk=14) # pk implies id__exact
The use of pk isn’t limited to __exact queries – any query term can be
combined with pk to perform a query on the primary key of a model:
# Get blogs entries with id 1, 4, and 7
>>> Blog.objects.filter(pk__in=[1,4,7])
# Get all blog entries with id > 14
>>> Blog.objects.filter(pk__gt=14)
pk lookups also work across joins. For example, these three statements are
equivalent:
>>> Entry.objects.filter(blog__id__exact=3) # Explicit form
>>> Entry.objects.filter(blog__id=3) # __exact is implied
>>> Entry.objects.filter(blog__pk=3) # __pk implies __id__exact
The point of pk is to give you a generic way to refer to the primary key in
cases where you’re not sure whether the model’s primary key is called id.
Complex Lookups with Q Objects
Keyword argument queries – in filter() and so on – are ANDed together. If
you need to execute more complex queries (e.g., queries with OR
statements), you can use Q objects.
A Q object (django.db.models.Q) is an object used to encapsulate a
collection of keyword arguments. These keyword arguments are specified as in
the “Field Lookups” section.
For example, this Q object encapsulates a single LIKE query:
Q(question__startswith='What')
Q objects can be combined using the & and | operators. When an
operator is used on two Q objects, it yields a new Q object. For example,
this statement yields a single Q object that represents the
OR of two "question__startswith" queries:
Q(question__startswith='Who') | Q(question__startswith='What')
This is equivalent to the following SQL WHERE clause:
WHERE question LIKE 'Who%' OR question LIKE 'What%'
You can compose statements of arbitrary complexity by combining Q objects
with the & and | operators. You can also use parenthetical grouping.
Each lookup function that takes keyword arguments (e.g., filter(),
exclude(), get()) can also be passed one or more Q objects as
positional (not-named) arguments. If you provide multiple Q object
arguments to a lookup function, the arguments will be ANDed together, for
example:
Poll.objects.get(
Q(question__startswith='Who'),
Q(pub_date=date(2005, 5, 2)) | Q(pub_date=date(2005, 5, 6))
)
roughly translates into the following SQL:
SELECT * from polls WHERE question LIKE 'Who%'
AND (pub_date = '2005-05-02' OR pub_date = '2005-05-06')
Lookup functions can mix the use of Q objects and keyword arguments. All
arguments provided to a lookup function (be they keyword arguments or Q
objects) are ANDed together. However, if a Q object is provided, it must
precede the definition of any keyword arguments. For example, the following:
Poll.objects.get(
Q(pub_date=date(2005, 5, 2)) | Q(pub_date=date(2005, 5, 6)),
question__startswith='Who')
would be a valid query, equivalent to the previous example, but this:
# INVALID QUERY
Poll.objects.get(
question__startswith='Who',
Q(pub_date=date(2005, 5, 2)) | Q(pub_date=date(2005, 5, 6)))
would not be valid.
You can find some examples online at http://www.djangoproject.com/documentation/models/or_lookups/.
Related Objects
When you define a relationship in a model (i.e., a ForeignKey,
OneToOneField, or ManyToManyField), instances of that model will have
a convenient API to access the related object(s).
For example, an Entry object e can get its associated Blog object by
accessing the blog attribute e.blog.
Django also creates API accessors for the “other” side of the relationship –
the link from the related model to the model that defines the relationship.
For example, a Blog object b has access to a list of all related
Entry objects via the entry_set attribute: b.entry_set.all().
All examples in this section use the sample Blog, Author, and Entry
models defined at the start of the appendix.
Lookups That Span Relationships
Django offers a powerful and intuitive way to “follow” relationships in
lookups, taking care of the SQL JOINs for you automatically behind the
scenes. To span a relationship, just use the field name of related fields
across models, separated by double underscores, until you get to the field you
want.
This example retrieves all Entry objects with a Blog whose name
is 'Beatles Blog':
>>> Entry.objects.filter(blog__name__exact='Beatles Blog')
This spanning can be as deep as you’d like.
It works backward, too. To refer to a “reverse” relationship, just use the
lowercase name of the model.
This example retrieves all Blog objects that have at least one Entry
whose headline contains 'Lennon':
>>> Blog.objects.filter(entry__headline__contains='Lennon')
Foreign Key Relationships
If a model has a ForeignKey, instances of that model will have access to
the related (foreign) object via a simple attribute of the model, for example:
e = Entry.objects.get(id=2)
e.blog # Returns the related Blog object.
You can get and set via a foreign key attribute. As you may expect, changes to
the foreign key aren’t saved to the database until you call save(), for example:
e = Entry.objects.get(id=2)
e.blog = some_blog
e.save()
If a ForeignKey field has null=True set (i.e., it allows NULL
values), you can set it to NULL by assigning None to it and saving:
e = Entry.objects.get(id=2)
e.blog = None
e.save() # "UPDATE blog_entry SET blog_id = NULL ...;"
Forward access to one-to-many relationships is cached the first time the
related object is accessed. Subsequent accesses to the foreign key on the same
object instance are cached, for example:
e = Entry.objects.get(id=2)
print e.blog # Hits the database to retrieve the associated Blog.
print e.blog # Doesn't hit the database; uses cached version.
Note that the select_related() QuerySet method recursively prepopulates
the cache of all one-to-many relationships ahead of time:
e = Entry.objects.select_related().get(id=2)
print e.blog # Doesn't hit the database; uses cached version.
print e.blog # Doesn't hit the database; uses cached version.
select_related() is documented in the “QuerySet Methods That Return New
QuerySets” section.
“Reverse” Foreign Key Relationships
Foreign key relationships are automatically symmetrical – a reverse
relationship is inferred from the presence of a ForeignKey pointing to
another model.
If a model has a ForeignKey, instances of the foreign key model will have
access to a Manager that returns all instances of the first model that
relate to that object. By default, this Manager is named FOO_set, where
FOO is the source model name, lowercased. This Manager returns
QuerySets, which can be filtered and manipulated as described in the
“Retrieving Objects” section.
Here’s an example:
b = Blog.objects.get(id=1)
b.entry_set.all() # Returns all Entry objects related to Blog.
# b.entry_set is a Manager that returns QuerySets.
b.entry_set.filter(headline__contains='Lennon')
b.entry_set.count()
You can override the FOO_set name by setting the related_name
parameter in the ForeignKey() definition. For example, if the Entry
model was altered to blog = ForeignKey(Blog, related_name='entries'), the
preceding example code would look like this:
b = Blog.objects.get(id=1)
b.entries.all() # Returns all Entry objects related to Blog.
# b.entries is a Manager that returns QuerySets.
b.entries.filter(headline__contains='Lennon')
b.entries.count()
related_name is particularly useful if a model has two foreign keys to the
same second model.
You cannot access a reverse ForeignKey Manager from the class; it must
be accessed from an instance:
Blog.entry_set # Raises AttributeError: "Manager must be accessed via instance".
In addition to the QuerySet methods defined in the “Retrieving Objects” section,
the ForeignKey Manager has these additional methods:
add(obj1, obj2, ...): Adds the specified model objects to the related
object set, for example:
b = Blog.objects.get(id=1)
e = Entry.objects.get(id=234)
b.entry_set.add(e) # Associates Entry e with Blog b.
create(**kwargs): Creates a new object, saves it, and puts it in the
related object set. It returns the newly created object:
b = Blog.objects.get(id=1)
e = b.entry_set.create(headline='Hello', body_text='Hi', pub_date=datetime.date(2005, 1, 1))
# No need to call e.save() at this point -- it's already been saved.
This is equivalent to (but much simpler than) the following:
b = Blog.objects.get(id=1)
e = Entry(blog=b, headline='Hello', body_text='Hi', pub_date=datetime.date(2005, 1, 1))
e.save()
Note that there’s no need to specify the keyword argument of the model
that defines the relationship. In the preceding example, we don’t pass the
parameter blog to create(). Django figures out that the new
Entry object’s blog field should be set to b.
remove(obj1, obj2, ...): Removes the specified model objects from the
related object set:
b = Blog.objects.get(id=1)
e = Entry.objects.get(id=234)
b.entry_set.remove(e) # Disassociates Entry e from Blog b.
In order to prevent database inconsistency, this method only exists on
ForeignKey objects where null=True. If the related field can’t be
set to None (NULL), then an object can’t be removed from a
relation without being added to another. In the preceding example, removing
e from b.entry_set() is equivalent to doing e.blog = None,
and because the blog ForeignKey doesn’t have null=True, this
is invalid.
clear(): Removes all objects from the related object set:
b = Blog.objects.get(id=1)
b.entry_set.clear()
Note this doesn’t delete the related objects – it just disassociates
them.
Just like remove(), clear() is only available on ForeignKey``s
where ``null=True.
To assign the members of a related set in one fell swoop, just assign to it
from any iterable object, for example:
b = Blog.objects.get(id=1)
b.entry_set = [e1, e2]
If the clear() method is available, any pre-existing objects will be
removed from the entry_set before all objects in the iterable (in this
case, a list) are added to the set. If the clear() method is not
available, all objects in the iterable will be added without removing any
existing elements.
Each “reverse” operation described in this section has an immediate effect on
the database. Every addition, creation, and deletion is immediately and
automatically saved to the database.
Many-to-Many Relationships
Both ends of a many-to-many relationship get automatic API access to the other
end. The API works just as a “reverse” one-to-many relationship (described
in the previous section).
The only difference is in the attribute naming: the model that defines the
ManyToManyField uses the attribute name of that field itself, whereas the
“reverse” model uses the lowercased model name of the original model, plus
'_set' (just like reverse one-to-many relationships).
An example makes this concept easier to understand:
e = Entry.objects.get(id=3)
e.authors.all() # Returns all Author objects for this Entry.
e.authors.count()
e.authors.filter(name__contains='John')
a = Author.objects.get(id=5)
a.entry_set.all() # Returns all Entry objects for this Author.
Like ForeignKey, ManyToManyField can specify related_name. In the
preceding example, if the ManyToManyField in Entry had specified
related_name='entries', then each Author instance would have an
entries attribute instead of entry_set.
How Are the Backward Relationships Possible?
Other object-relational mappers require you to define relationships on both
sides. The Django developers believe this is a violation of the DRY (Don’t
Repeat Yourself) principle, so Django requires you to define the
relationship on only one end. But how is this possible, given that a model
class doesn’t know which other model classes are related to it until those
other model classes are loaded?
The answer lies in the INSTALLED_APPS setting. The first time any model
is loaded, Django iterates over every model in INSTALLED_APPS and
creates the backward relationships in memory as needed. Essentially, one of
the functions of INSTALLED_APPS is to tell Django the entire model
domain.
Deleting Objects
The delete method, conveniently, is named delete(). This method immediately
deletes the object and has no return value:
You can also delete objects in bulk. Every QuerySet has a delete()
method, which deletes all members of that QuerySet. For example, this
deletes all Entry objects with a pub_date year of 2005:
Entry.objects.filter(pub_date__year=2005).delete()
When Django deletes an object, it emulates the behavior of the SQL
constraint ON DELETE CASCADE – in other words, any objects that
had foreign keys pointing at the object to be deleted will be deleted
along with it, for example:
b = Blog.objects.get(pk=1)
# This will delete the Blog and all of its Entry objects.
b.delete()
Note that delete() is the only QuerySet method that is not exposed on a
Manager itself. This is a safety mechanism to prevent you from accidentally
requesting Entry.objects.delete() and deleting all the entries. If you
do want to delete all the objects, then you have to explicitly request a
complete query set:
Entry.objects.all().delete()
Shortcuts
As you develop views, you will discover a number of common idioms in the
way you use the database API. Django encodes some of these idioms as
shortcuts that can be used to simplify the process of writing views. These
functions are in the django.shortcuts module.
get_object_or_404()
One common idiom to use get() and raise Http404 if the
object doesn’t exist. This idiom is captured by get_object_or_404().
This function takes a Django model as its first argument and an
arbitrary number of keyword arguments, which it passes to the default
manager’s get() function. It raises Http404 if the object doesn’t
exist, for example:
# Get the Entry with a primary key of 3
e = get_object_or_404(Entry, pk=3)
When you provide a model to this shortcut function, the default manager
is used to execute the underlying get() query. If you don’t want to
use the default manager, or if you want to search a list of related objects,
you can provide get_object_or_404() with a Manager object instead:
# Get the author of blog instance e with a name of 'Fred'
a = get_object_or_404(e.authors, name='Fred')
# Use a custom manager 'recent_entries' in the search for an
# entry with a primary key of 3
e = get_object_or_404(Entry.recent_entries, pk=3)
get_list_or_404()
get_list_or_404 behaves the same way as get_object_or_404(),
except that it uses filter() instead of get(). It raises
Http404 if the list is empty.
Falling Back to Raw SQL
If you find yourself needing to write an SQL query that is too complex for
Django’s database mapper to handle, you can fall back into raw SQL statement
mode.
The preferred way to do this is by giving your model custom methods or custom
manager methods that execute queries. Although there’s nothing in Django that
requires database queries to live in the model layer, this approach keeps all
your data access logic in one place, which is smart from a code organization
standpoint. For instructions, see Appendix A.
Finally, it’s important to note that the Django database layer is merely an
interface to your database. You can access your database via other tools,
programming languages, or database frameworks – there’s nothing Django-specific
about your database.
Appendix C: Generic View Reference
Chapter 11 introduced generic views but leaves out some of the gory details.
This appendix describes each generic view along with all the options each view can
take. Be sure to read Chapter 11 before trying to understand the reference
material that follows. You might want to refer back to the Book,
Publisher, and Author objects defined in that chapter; the examples that
follow use these models.
Common Arguments to Generic Views
Most of these views take a large number of arguments that can change the generic
view’s behavior. Many of these arguments work the same across a large number of
views. Table C-1 describes each of these common arguments; anytime you see one
of these arguments in a generic view’s argument list, it will work as described in
the table.
Table C-1. Common Arguments to Generic Views
Argument |
Description |
allow_empty |
A Boolean specifying whether to display the
page if no objects are available. If this is
False and no objects are available, the view
will raise a 404 error instead of displaying an
empty page. By default, this is True. |
context_processors |
A list of additional template-context processors
(besides the defaults) to apply to the view’s
template. See Chapter 9 for information on
template context processors. |
extra_context |
A dictionary of values to add to the template
context. By default, this is an empty
dictionary. If a value in the dictionary is
callable, the generic view will call it just
before rendering the template. |
mimetype |
The MIME type to use for the resulting
document. It defaults to the value of the
DEFAULT_MIME_TYPE setting, which is
text/html if you haven’t changed it. |
queryset |
A QuerySet (i.e., something like
Author.objects.all()) to read objects from.
See Appendix B for more information about
QuerySet objects. Most generic views require
this argument. |
template_loader |
The template loader to use when loading the
template. By default, it’s
django.template.loader. See Chapter 9 for
information on template loaders. |
template_name |
The full name of a template to use in rendering
the page. This lets you override the default
template name derived from the QuerySet. |
template_object_name |
The name of the template variable to
use in the template context. By default, this is
'object'. Views that list more than one
object (i.e., object_list views and various
objects-for-date views) will append '_list'
to the value of this parameter. |
“Simple” Generic Views
The module``django.views.generic.simple`` contains simple views that handle a
couple of common cases: rendering a template when no view logic is needed and
issuing a redirect.
Rendering a Template
View function: django.views.generic.simple.direct_to_template
This view renders a given template, passing it a {{ params }} template
variable, which is a dictionary of the parameters captured in the URL.
Example
Given the following URLconf:
from django.conf.urls.defaults import *
from django.views.generic.simple import direct_to_template
urlpatterns = patterns('',
(r'^foo/$', direct_to_template, {'template': 'foo_index.html'}),
(r'^foo/(?P<id>\d+)/$', direct_to_template, {'template': 'foo_detail.html'}),
)
a request to /foo/ would render the template foo_index.html, and a
request to /foo/15/ would render foo_detail.html with a context
variable {{ params.id }} that is set to 15.
Required Arguments
- template: The full name of a template to use.
Redirecting to Another URL
View function: django.views.generic.simple.redirect_to
This view redirects to another URL. The given URL may contain dictionary-style string
formatting, which will be interpolated against the parameters captured in the
URL.
If the given URL is None, Django will return an HTTP 410 (“Gone”) message.
Example
This URLconf redirects from /foo/<id>/ to /bar/<id>/:
from django.conf.urls.defaults import *
from django.views.generic.simple import redirect_to
urlpatterns = patterns('django.views.generic.simple',
('^foo/(?p<id>\d+)/$', redirect_to, {'url': '/bar/%(id)s/'}),
)
This example returns a “Gone” response for requests to /bar/:
from django.views.generic.simple import redirect_to
urlpatterns = patterns('django.views.generic.simple',
('^bar/$', redirect_to, {'url': None}),
)
Required Arguments
- url: The URL to redirect to, as a string. Or None to return a 410
(“Gone”) HTTP response.
List/Detail Generic Views
The list/detail generic views (in the module
django.views.generic.list_detail) handle the common case of displaying a
list of items at one view and individual “detail” views of those items at
another.
Lists of Objects
View function: django.views.generic.list_detail.object_list
Use this view to display a page representing a list of objects.
Example
Given the Author object from Chapter 5, we can use the object_list view
to show a simple list of all authors given the following URLconf snippet:
from mysite.books.models import Author
from django.conf.urls.defaults import *
from django.views.generic import list_detail
author_list_info = {
'queryset': Author.objects.all(),
}
urlpatterns = patterns('',
(r'authors/$', list_detail.object_list, author_list_info)
)
Required Arguments
- queryset: A QuerySet of objects to list (see Table C-1).
Optional Arguments
- paginate_by: An integer specifying how many objects should be
displayed per page. If this is given, the view will paginate objects with
paginate_by objects per page. The view will expect either a page
query string parameter (via GET) containing a zero-indexed page
number, or a page variable specified in the URLconf. See the following
“Notes on Pagination” section.
Additionally, this view may take any of these common arguments described in
Table C-1:
- allow_empty
- context_processors
- extra_context
- mimetype
- template_loader
- template_name
- template_object_name
Template Name
If template_name isn’t specified, this view will use the template
<app_label>/<model_name>_list.html by default. Both the application label and the
model name are derived from the queryset parameter. The application label is the
name of the application that the model is defined in, and the model name is the
lowercased version of the name of the model class.
In the previous example using Author.objects.all() as the queryset, the application
label would be books and the model name would be author. This means
the default template would be books/author_list.html.
Template Context
In addition to extra_context, the template’s context will contain the following:
- object_list: The list of objects. This variable’s name depends on the
template_object_name parameter, which is 'object' by default. If
template_object_name is 'foo', this variable’s name will be
foo_list.
- is_paginated: A Boolean representing whether the results are
paginated. Specifically, this is set to False if the number of
available objects is less than or equal to paginate_by.
If the results are paginated, the context will contain these extra variables:
- results_per_page: The number of objects per page. (This is the same as
the paginate_by parameter.)
- has_next: A Boolean representing whether there’s a next page.
- has_previous: A Boolean representing whether there’s a previous page.
- page: The current page number, as an integer. This is 1-based.
- next: The next page number, as an integer. If there’s no next page,
this will still be an integer representing the theoretical next-page
number. This is 1-based.
- previous: The previous page number, as an integer. This is 1-based.
- pages: The total number of pages, as an integer.
- hits: The total number of objects across all pages, not just this
page.
Detail Views
View function: django.views.generic.list_detail.object_detail
This view provides a “detail” view of a single object.
Example
Continuing the previous object_list example, we could add a detail view for a
given author by modifying the URLconf:
from mysite.books.models import Author
from django.conf.urls.defaults import *
from django.views.generic import list_detail
author_list_info = {
'queryset' : Author.objects.all(),
}
author_detail_info = {
"queryset" : Author.objects.all(),
"template_object_name" : "author",
}
urlpatterns = patterns('',
(r'authors/$', list_detail.object_list, author_list_info),
(r'^authors/(?P<object_id>d+)/$', list_detail.object_detail, author_detail_info),
)
Required Arguments
- queryset: A QuerySet that will be searched for the object (see Table C-1).
and either
- object_id: The value of the primary-key field for the object.
or
- slug: The slug of the given object. If you pass this field, then the
slug_field argument (see the following section) is also required.
Optional Arguments
slug_field: The name of the field on the object containing the slug.
This is required if you are using the slug argument, but it must be
absent if you’re using the object_id argument.
template_name_field: The name of a field on the object whose value is
the template name to use. This lets you store template names in your data.
In other words, if your object has a field 'the_template' that
contains a string 'foo.html', and you set template_name_field to
'the_template', then the generic view for this object will use the
template 'foo.html'.
If the template named by template_name_field doesn’t exist, the one
named by template_name is used instead. It’s a bit of a
brain-bender, but it’s useful in some cases.
This view may also take these common arguments (see Table C-1):
- context_processors
- extra_context
- mimetype
- template_loader
- template_name
- template_object_name
Template Name
If template_name and template_name_field aren’t specified, this view
will use the template <app_label>/<model_name>_detail.html by default.
Template Context
In addition to extra_context, the template’s context will be as follows:
- object: The object. This variable’s name depends on the
template_object_name parameter, which is 'object' by default. If
template_object_name is 'foo', this variable’s name will be
foo.
Date-Based Generic Views
Date-based generic views are generally used to provide a set of “archive”
pages for dated material. Think year/month/day archives for a newspaper, or a
typical blog archive.
Tip:
By default, these views ignore objects with dates in the future.
This means that if you try to visit an archive page in the future, Django
will automatically show a 404 (“Page not found”) error, even if there are objects
published that day.
Thus, you can publish postdated objects that don’t appear publicly until
their desired publication date.
However, for different types of date-based objects, this isn’t appropriate
(e.g., a calendar of upcoming events). For these views, setting the
allow_future option to True will make the future objects appear (and
allow users to visit “future” archive pages).
Archive Index
View function: django.views.generic.date_based.archive_index
This view provides a top-level index page showing the “latest” (i.e., most
recent) objects by date.
Example
Say a typical book publisher wants a page of recently published books. Given some
Book object with a publication_date field, we can use the
archive_index view for this common task:
from mysite.books.models import Book
from django.conf.urls.defaults import *
from django.views.generic import date_based
book_info = {
"queryset" : Book.objects.all(),
"date_field" : "publication_date"
}
urlpatterns = patterns('',
(r'^books/$', date_based.archive_index, book_info),
)
Required Arguments
- date_field: The name of the DateField or DateTimeField in the
QuerySet‘s model that the date-based archive should use to determine
the objects on the page.
- queryset: A QuerySet of objects for which the archive serves.
Optional Arguments
- allow_future: A Boolean specifying whether to include “future” objects
on this page, as described in the previous note.
- num_latest: The number of latest objects to send to the template
context. By default, it’s 15.
This view may also take these common arguments (see Table C-1):
- allow_empty
- context_processors
- extra_context
- mimetype
- template_loader
- template_name
Template Name
If template_name isn’t specified, this view will use the template
<app_label>/<model_name>_archive.html by default.
Template Context
In addition to extra_context, the template’s context will be as follows:
date_list: A list of datetime.date objects representing all years
that have objects available according to queryset. These are ordered
in reverse.
For example, if you have blog entries from 2003 through 2006, this list
will contain four datetime.date objects: one for each of those years.
latest: The num_latest objects in the system, in descending order
by date_field. For example, if num_latest is 10, then
latest will be a list of the latest ten objects in queryset.
Year Archives
View function: django.views.generic.date_based.archive_year
Use this view for yearly archive pages. These pages have a list of months in
which objects exists, and they can optionally display all the objects published in
a given year.
Example
Extending the archive_index example from earlier, we’ll add a way to view all
the books published in a given year:
from mysite.books.models import Book
from django.conf.urls.defaults import *
from django.views.generic import date_based
book_info = {
"queryset" : Book.objects.all(),
"date_field" : "publication_date"
}
urlpatterns = patterns('',
(r'^books/$', date_based.archive_index, book_info),
(r'^books/(?P<year>d{4})/?$', date_based.archive_year, book_info),
)
Required Arguments
- date_field: As for archive_index (see the previous section).
- queryset: A QuerySet of objects for which the archive serves.
- year: The four-digit year for which the archive serves (as in our
example, this is usually taken from a URL parameter).
Optional Arguments
- make_object_list: A Boolean specifying whether to retrieve the full
list of objects for this year and pass those to the template. If True,
this list of objects will be made available to the template as
object_list. (The name object_list may be different; see the
information about object_list in the following “Template Context”
section.) By default, this is False.
- allow_future: A Boolean specifying whether to include “future” objects
on this page.
This view may also take these common arguments (see Table C-1):
- allow_empty
- context_processors
- extra_context
- mimetype
- template_loader
- template_name
- template_object_name
Template Name
If template_name isn’t specified, this view will use the template
<app_label>/<model_name>_archive_year.html by default.
Template Context
In addition to extra_context, the template’s context will be as follows:
date_list: A list of datetime.date objects representing all months
that have objects available in the given year, according to queryset,
in ascending order.
year: The given year, as a four-character string.
object_list: If the make_object_list parameter is True, this
will be set to a list of objects available for the given year, ordered by
the date field. This variable’s name depends on the
template_object_name parameter, which is 'object' by default. If
template_object_name is 'foo', this variable’s name will be
foo_list.
If make_object_list is False, object_list will be passed to
the template as an empty list.
Month Archives
View function: django.views.generic.date_based.archive_month
This view provides monthly archive pages showing all objects for a given month.
Example
Continuing with our example, adding month views should look familiar:
urlpatterns = patterns('',
(r'^books/$', date_based.archive_index, book_info),
(r'^books/(?P<year>d{4})/?$', date_based.archive_year, book_info),
(
r'^(?P<year>d{4})/(?P<month>[a-z]{3})/$',
date_based.archive_month,
book_info
),
)
Required Arguments
- year: The four-digit year for which the archive serves (a string).
- month: The month for which the archive serves, formatted according to
the month_format argument.
- queryset: A QuerySet of objects for which the archive serves.
- date_field: The name of the DateField or DateTimeField in the
QuerySet‘s model that the date-based archive should use to determine
the objects on the page.
Optional Arguments
- month_format: A format string that regulates what format the month
parameter uses. This should be in the syntax accepted by Python’s
time.strftime. (See Python’s strftime documentation at
http://docs.python.org/library/time.html#time.strftime.) It’s set
to "%b" by default, which is a three-letter month abbreviation (i.e.,
“jan”, “feb”, etc.). To change it to use numbers, use "%m".
- allow_future: A Boolean specifying whether to include “future” objects
on this page, as described in the previous note.
This view may also take these common arguments (see Table C-1):
- allow_empty
- context_processors
- extra_context
- mimetype
- template_loader
- template_name
- template_object_name
Template Name
If template_name isn’t specified, this view will use the template
<app_label>/<model_name>_archive_month.html by default.
Template Context
In addition to extra_context, the template’s context will be as follows:
- month: A datetime.date object representing the given month.
- next_month: A datetime.date object representing the first day of
the next month. If the next month is in the future, this will be None.
- previous_month: A datetime.date object representing the first day
of the previous month. Unlike next_month, this will never be None.
- object_list: A list of objects available for the given month. This
variable’s name depends on the template_object_name parameter, which
is 'object' by default. If template_object_name is 'foo', this
variable’s name will be foo_list.
Week Archives
View function: django.views.generic.date_based.archive_week
This view shows all objects in a given week.
Note
For the sake of consistency with Python’s built-in date/time handling,
Django assumes that the first day of the week is Sunday.
Example
urlpatterns = patterns('',
# ...
(
r'^(?P<year>d{4})/(?P<week>d{2})/$',
date_based.archive_week,
book_info
),
)
Required Arguments
- year: The four-digit year for which the archive serves (a string).
- week: The week of the year for which the archive serves (a string).
- queryset: A QuerySet of objects for which the archive serves.
- date_field: The name of the DateField or DateTimeField in the
QuerySet‘s model that the date-based archive should use to determine
the objects on the page.
Optional Arguments
- allow_future: A Boolean specifying whether to include “future” objects
on this page, as described in the previous note.
This view may also take these common arguments (see Table C-1):
- allow_empty
- context_processors
- extra_context
- mimetype
- template_loader
- template_name
- template_object_name
Template Name
If template_name isn’t specified, this view will use the template
<app_label>/<model_name>_archive_week.html by default.
Template Context
In addition to extra_context, the template’s context will be as follows:
- week: A datetime.date object representing the first day of the
given week.
- object_list: A list of objects available for the given week. This
variable’s name depends on the template_object_name parameter, which
is 'object' by default. If template_object_name is 'foo', this
variable’s name will be foo_list.
Day Archives
View function: django.views.generic.date_based.archive_day
This view generates all objects in a given day.
Example
urlpatterns = patterns('',
# ...
(
r'^(?P<year>d{4})/(?P<month>[a-z]{3})/(?P<day>d{2})/$',
date_based.archive_day,
book_info
),
)
Required Arguments
- year: The four-digit year for which the archive serves (a string).
- month: The month for which the archive serves, formatted according to the
month_format argument.
- day: The day for which the archive serves, formatted according to the
day_format argument.
- queryset: A QuerySet of objects for which the archive serves.
- date_field: The name of the DateField or DateTimeField in the
QuerySet‘s model that the date-based archive should use to determine
the objects on the page.
Optional Arguments
- month_format: A format string that regulates what format the month
parameter uses. See the detailed explanation in the “Month Archives”
section, above.
- day_format: Like month_format, but for the day parameter. It
defaults to "%d" (the day of the month as a decimal number, 01-31).
- allow_future: A Boolean specifying whether to include “future” objects
on this page, as described in the previous note.
This view may also take these common arguments (see Table C-1):
- allow_empty
- context_processors
- extra_context
- mimetype
- template_loader
- template_name
- template_object_name
Template Name
If template_name isn’t specified, this view will use the template
<app_label>/<model_name>_archive_day.html by default.
Template Context
In addition to extra_context, the template’s context will be as follows:
- day: A datetime.date object representing the given day.
- next_day: A datetime.date object representing the next day. If the
next day is in the future, this will be None.
- previous_day: A datetime.date object representing the previous day.
Unlike next_day, this will never be None.
- object_list: A list of objects available for the given day. This
variable’s name depends on the template_object_name parameter, which
is 'object' by default. If template_object_name is 'foo', this
variable’s name will be foo_list.
Archive for Today
The django.views.generic.date_based.archive_today view shows all objects for
today. This is exactly the same as archive_day, except the
year/month/day arguments are not used, and today’s date is used
instead.
Example
urlpatterns = patterns('',
# ...
(r'^books/today/$', date_based.archive_today, book_info),
)
Date-Based Detail Pages
View function: django.views.generic.date_based.object_detail
Use this view for a page representing an individual object.
This has a different URL from the object_detail view; the object_detail
view uses URLs like /entries/<slug>/, while this one uses URLs like
/entries/2006/aug/27/<slug>/.
Note
If you’re using date-based detail pages with slugs in the URLs, you probably
also want to use the unique_for_date option on the slug field to
validate that slugs aren’t duplicated in a single day. See Appendix A for
details on unique_for_date.
Example
This one differs (slightly) from all the other date-based examples in that we
need to provide either an object ID or a slug so that Django can look up the
object in question.
Since the object we’re using doesn’t have a slug field, we’ll use ID-based URLs.
It’s considered a best practice to use a slug field, but in the interest of
simplicity we’ll let it go.
urlpatterns = patterns('',
# ...
(
r'^(?P<year>d{4})/(?P<month>[a-z]{3})/(?P<day>d{2})/(?P<object_id>[w-]+)/$',
date_based.object_detail,
book_info
),
)
Required Arguments
- year: The object’s four-digit year (a string).
- month: The object’s month, formatted according to the month_format
argument.
- day: The object’s day, formatted according to the day_format argument.
- queryset: A QuerySet that contains the object.
- date_field: The name of the DateField or DateTimeField in the
QuerySet‘s model that the generic view should use to look up the
object according to year, month, and day.
You’ll also need either:
- object_id: The value of the primary-key field for the object.
or:
- slug: The slug of the given object. If you pass this field, then the
slug_field argument (described in the following section) is also
required.
Optional Arguments
- allow_future: A Boolean specifying whether to include “future” objects
on this page, as described in the previous note.
- day_format: Like month_format, but for the day parameter. It
defaults to "%d" (the day of the month as a decimal number, 01-31).
- month_format: A format string that regulates what format the month
parameter uses. See the detailed explanation in the “Month Archives”
section, above.
- slug_field: The name of the field on the object containing the slug.
This is required if you are using the slug argument, but it must be
absent if you’re using the object_id argument.
- template_name_field: The name of a field on the object whose value is
the template name to use. This lets you store template names in the data.
In other words, if your object has a field 'the_template' that
contains a string 'foo.html', and you set template_name_field to
'the_template', then the generic view for this object will use the
template 'foo.html'.
This view may also take these common arguments (see Table C-1):
- context_processors
- extra_context
- mimetype
- template_loader
- template_name
- template_object_name
Template Name
If template_name and template_name_field aren’t specified, this view
will use the template <app_label>/<model_name>_detail.html by default.
Template Context
In addition to extra_context, the template’s context will be as follows:
- object: The object. This variable’s name depends on the
template_object_name parameter, which is 'object' by default. If
template_object_name is 'foo', this variable’s name will be
foo.
Appendix D: Settings
Your Django settings file contains all the configuration of your Django
installation. This appendix explains how settings work and which settings are
available.
What’s a Settings File?
A settings file is just a Python module with module-level variables.
Here are a couple of example settings:
DEBUG = False
DEFAULT_FROM_EMAIL = 'webmaster@example.com'
TEMPLATE_DIRS = ('/home/templates/mike', '/home/templates/john')
Because a settings file is a Python module, the following apply:
It must be valid Python code; syntax errors aren’t allowed.
It can assign settings dynamically using normal Python syntax,
for example:
MY_SETTING = [str(i) for i in range(30)]
It can import values from other settings files.
Default Settings
A Django settings file doesn’t have to define any settings if it doesn’t need
to. Each setting has a sensible default value. These defaults live in the file
django/conf/global_settings.py.
Here’s the algorithm Django uses in compiling settings:
- Load settings from global_settings.py.
- Load settings from the specified settings file, overriding the global
settings as necessary.
Note that a settings file should not import from global_settings, because
that’s redundant.
Seeing Which Settings You’ve Changed
There’s an easy way to view which of your settings deviate from the default
settings. The command manage.py diffsettings displays differences between
the current settings file and Django’s default settings.
manage.py is described in more detail in Appendix F.
Using Settings in Python Code
In your Django applications, use settings by importing the object
django.conf.settings, for example:
from django.conf import settings
if settings.DEBUG:
# Do something
Note that django.conf.settings isn’t a module – it’s an object. So
importing individual settings is not possible:
from django.conf.settings import DEBUG # This won't work.
Also note that your code should not import from either global_settings or
your own settings file. django.conf.settings abstracts the concepts of
default settings and site-specific settings; it presents a single interface.
It also decouples the code that uses settings from the location of your
settings.
Altering Settings at Runtime
You shouldn’t alter settings in your applications at runtime. For example,
don’t do this in a view:
from django.conf import settings
settings.DEBUG = True # Don't do this!
The only place that settings should be defined in is a settings file.
Security
Because a settings file contains sensitive information, such as the database
password, you should make every attempt to limit access to it. For example,
change its file permissions so that only you and your Web server’s user can
read it. This is especially important in a shared-hosting environment.
Creating Your Own Settings
There’s nothing stopping you from creating your own settings, for your own
Django applications. Just follow these conventions:
- Use all uppercase for setting names.
- For settings that are sequences, use tuples instead of lists. Settings
should be considered immutable and shouldn’t be changed once they’re
defined. Using tuples mirrors these semantics.
- Don’t reinvent an already existing setting.
Designating the Settings: DJANGO_SETTINGS_MODULE
When you use Django, you have to tell it which settings you’re using. Do this
by using the environment variable DJANGO_SETTINGS_MODULE.
The value of DJANGO_SETTINGS_MODULE should be in Python path syntax (e.g.,
mysite.settings). Note that the settings module should be on the
Python import search path (PYTHONPATH).
The django-admin.py Utility
When using django-admin.py (see Appendix F), you can either set the
environment variable once or explicitly pass in the settings module each time
you run the utility.
Here’s an example using the Unix Bash shell:
export DJANGO_SETTINGS_MODULE=mysite.settings
django-admin.py runserver
Here’s an example using the Windows shell:
set DJANGO_SETTINGS_MODULE=mysite.settings
django-admin.py runserver
Use the --settings command-line argument to specify the settings manually:
django-admin.py runserver --settings=mysite.settings
The manage.py utility created by startproject as part of the project
skeleton sets DJANGO_SETTINGS_MODULE automatically; see Appendix F for more
about manage.py.
On the Server (mod_python)
In your live server environment, you’ll need to tell Apache/mod_python which
settings file to use. Do that with SetEnv:
<Location "/mysite/">
SetHandler python-program
PythonHandler django.core.handlers.modpython
SetEnv DJANGO_SETTINGS_MODULE mysite.settings
</Location>
For more information, read the Django mod_python documentation online at
http://docs.djangoproject.com/en/dev/howto/deployment/modpython/.
Using Settings Without Setting DJANGO_SETTINGS_MODULE
In some cases, you might want to bypass the DJANGO_SETTINGS_MODULE
environment variable. For example, if you’re using the template system by
itself, you likely don’t want to have to set up an environment variable
pointing to a settings module.
In these cases, you can configure Django’s settings manually. Do this by
calling django.conf.settings.configure(). Here’s an example:
from django.conf import settings
settings.configure(
DEBUG = True,
TEMPLATE_DEBUG = True,
TEMPLATE_DIRS = [
'/home/web-apps/myapp',
'/home/web-apps/base',
]
)
Pass configure() as many keyword arguments as you’d like, with each keyword
argument representing a setting and its value. Each argument name should be all
uppercase, with the same name as the settings described earlier. If a particular
setting is not passed to configure() and is needed at some later point,
Django will use the default setting value.
Configuring Django in this fashion is mostly necessary – and, indeed,
recommended – when you’re using a piece of the framework inside a larger
application.
Consequently, when configured via settings.configure(), Django will not
make any modifications to the process environment variables. (See the
explanation of TIME_ZONE later in this appendix for why this would normally occur.)
It’s assumed that you’re already in full control of your environment in these cases.
Custom Default Settings
If you’d like default values to come from somewhere other than
django.conf.global_settings, you can pass in a module or class that
provides the default settings as the default_settings argument (or as the
first positional argument) in the call to configure().
In this example, default settings are taken from myapp_defaults, and the
DEBUG setting is set to True, regardless of its value in
myapp_defaults:
from django.conf import settings
from myapp import myapp_defaults
settings.configure(default_settings=myapp_defaults, DEBUG=True)
The following example, which uses myapp_defaults as a positional argument,
is equivalent:
settings.configure(myapp_defaults, DEBUG = True)
Normally, you will not need to override the defaults in this fashion. The
Django defaults are sufficiently tame that you can safely use them. Be aware
that if you do pass in a new default module, it entirely replaces the Django
defaults, so you must specify a value for every possible setting that might be
used in that code you are importing. Check in
django.conf.settings.global_settings for the full list.
Available Settings
The following sections consist of a list of the main available settings,
in alphabetical order, and their default values.
ABSOLUTE_URL_OVERRIDES
Default: {} (empty dictionary)
This is a dictionary mapping "app_label.model_name" strings to functions that take
a model object and return its URL. This is a way of overriding
get_absolute_url() methods on a per-installation basis. Here’s an example:
ABSOLUTE_URL_OVERRIDES = {
'blogs.weblog': lambda o: "/blogs/%s/" % o.slug,
'news.story': lambda o: "/stories/%s/%s/" % (o.pub_year, o.slug),
}
Note that the model name used in this setting should be all lowercase, regardless
of the case of the actual model class name.
ADMINS
Default: () (empty tuple)
This is a tuple that lists people who get code error notifications. When
DEBUG=False and a view raises an exception, Django will email these people
with the full exception information. Each member of the tuple should be a tuple
of (Full name, e-mail address), for example:
(('John', 'john@example.com'), ('Mary', 'mary@example.com'))
Note that Django will email all of these people whenever an error happens.
ALLOWED_INCLUDE_ROOTS
Default: () (empty tuple)
This is a tuple of strings representing allowed prefixes for the {% ssi %} template
tag. This is a security measure, so that template authors can’t access files
that they shouldn’t be accessing.
For example, if ALLOWED_INCLUDE_ROOTS is ('/home/html', '/var/www'),
then {% ssi /home/html/foo.txt %} would work, but {% ssi /etc/passwd %}
wouldn’t.
APPEND_SLASH
Default: True
This setting indicates whether to append trailing slashes to URLs. This is used only if
CommonMiddleware is installed (see Chapter 17). See also PREPEND_WWW.
CACHE_BACKEND
Default: 'locmem://'
This is the cache back-end to use (see Chapter 15).
CACHE_MIDDLEWARE_KEY_PREFIX
Default: '' (empty string)
This is the cache key prefix that the cache middleware should use (see Chapter 15).
DATABASE_ENGINE
Default: '' (empty string)
This setting indicates which database back-end to use, e.g.
'postgresql_psycopg2', or 'mysql'.
DATABASE_HOST
Default: '' (empty string)
This setting indicates which host to use when connecting to the database.
An empty string means localhost. This is not used with SQLite.
If this value starts with a forward slash ('/') and you’re using MySQL,
MySQL will connect via a Unix socket to the specified socket:
DATABASE_HOST = '/var/run/mysql'
If you’re using MySQL and this value doesn’t start with a forward slash, then
this value is assumed to be the host.
DATABASE_NAME
Default: '' (empty string)
This is the name of the database to use. For SQLite, it’s the full path to the database
file.
DATABASE_OPTIONS
Default: {} (empty dictionary)
This is extra parameters to use when connecting to the database. Consult the back-end
module’s document for available keywords.
DATABASE_PASSWORD
Default: '' (empty string)
This setting is the password to use when connecting to the database. It is not used with SQLite.
DATABASE_PORT
Default: '' (empty string)
This is the port to use when connecting to the database. An empty string means the
default port. It is not used with SQLite.
DATABASE_USER
Default: '' (empty string)
This setting is the username to use when connecting to the database. It is not used with SQLite.
DEBUG
Default: False
This setting is a Boolean that turns debug mode on and off.
If you define custom settings, django/views/debug.py has a HIDDEN_SETTINGS
regular expression that will hide from the DEBUG view anything that contains
'SECRET, PASSWORD, or PROFANITIES'. This allows untrusted users to
be able to give backtraces without seeing sensitive (or offensive) settings.
Still, note that there are always going to be sections of your debug output that
are inappropriate for public consumption. File paths, configuration options, and
the like all give attackers extra information about your server. Never deploy a
site with DEBUG turned on.
DEFAULT_CHARSET
Default: 'utf-8'
This is the default charset to use for all HttpResponse objects, if a MIME type isn’t
manually specified. It is used with DEFAULT_CONTENT_TYPE to construct the
Content-Type header. See Appendix G for more about HttpResponse objects.
DEFAULT_CONTENT_TYPE
Default: 'text/html'
This is the default content type to use for all HttpResponse objects, if a MIME type
isn’t manually specified. It is used with DEFAULT_CHARSET to construct the
Content-Type header. See Appendix G for more about HttpResponse objects.
DEFAULT_FROM_EMAIL
Default: 'webmaster@localhost'
This is the default email address to use for various automated correspondence from the
site manager(s).
DISALLOWED_USER_AGENTS
Default: () (empty tuple)
This is a list of compiled regular expression objects representing User-Agent strings
that are not allowed to visit any page, systemwide. Use this for bad
robots/crawlers. This is used only if CommonMiddleware is installed (see
Chapter 17).
EMAIL_HOST
Default: 'localhost'
This is the host to use for sending email. See also EMAIL_PORT.
EMAIL_HOST_PASSWORD
Default: '' (empty string)
This is the password to use for the SMTP server defined in EMAIL_HOST. This setting is
used in conjunction with EMAIL_HOST_USER when authenticating to the SMTP
server. If either of these settings is empty, Django won’t attempt
authentication.
See also EMAIL_HOST_USER.
EMAIL_HOST_USER
Default: '' (empty string)
This is the username to use for the SMTP server defined in EMAIL_HOST. If it’s empty,
Django won’t attempt authentication. See also EMAIL_HOST_PASSWORD.
EMAIL_PORT
Default: 25
This is the port to use for the SMTP server defined in EMAIL_HOST.
EMAIL_SUBJECT_PREFIX
Default: '[Django] '
This is the subject-line prefix for email messages sent with django.core.mail.mail_admins
or django.core.mail.mail_managers. You’ll probably want to include the
trailing space.
FIXTURE_DIRS
Default: () (empty tuple)
This is a list of locations of the fixture data files, in search order. Note that these
paths should use Unix-style forward slashes, even on Windows. It is used by Django’s
testing framework, which is covered online at
http://docs.djangoproject.com/en/dev/topics/testing/.
IGNORABLE_404_ENDS
Default: ('mail.pl', 'mailform.pl', 'mail.cgi', 'mailform.cgi', 'favicon.ico',
'.php')
This is a tuple of strings that specify beginnings of URLs that should be
ignored by the 404 e-mailer. (See Chapter 12 for more on the 404 e-mailer.)
No errors will be sent for URLs end with strings from this sequence.
See also IGNORABLE_404_STARTS and SEND_BROKEN_LINK_EMAILS.
IGNORABLE_404_STARTS
Default: ('/cgi-bin/', '/_vti_bin', '/_vti_inf')
See also SEND_BROKEN_LINK_EMAILS and IGNORABLE_404_ENDS.
INSTALLED_APPS
Default: () (empty tuple)
A tuple of strings designating all applications that are enabled in this Django
installation. Each string should be a full Python path to a Python package that
contains a Django application. See Chapter 5 for more about applications.
LANGUAGE_CODE
Default: 'en-us'
This is a string representing the language code for this installation. This should be
in standard language format – for example, U.S. English is "en-us". See
Chapter 19.
LANGUAGES
Default: A tuple of all available languages. This list is continually growing
and any copy included here would inevitably become rapidly out of date. You can
see the current list of translated languages by looking in
django/conf/global_settings.py.
The list is a tuple of two-tuples in the format (language code, language name)
– for example, ('ja', 'Japanese'). This specifies which languages are
available for language selection. See Chapter 19 for more on language selection.
Generally, the default value should suffice. Only set this setting if you want
to restrict language selection to a subset of the Django-provided languages.
If you define a custom LANGUAGES setting, it’s OK to mark the languages as
translation strings, but you should never import django.utils.translation
from within your settings file, because that module in itself depends on the
settings, and that would cause a circular import.
The solution is to use a “dummy” gettext() function. Here’s a sample
settings file:
gettext = lambda s: s
LANGUAGES = (
('de', gettext('German')),
('en', gettext('English')),
)
With this arrangement, make-messages.py will still find and mark these
strings for translation, but the translation won’t happen at runtime – so
you’ll have to remember to wrap the languages in the real gettext() in
any code that uses LANGUAGES at runtime.
MANAGERS
Default: () (empty tuple)
This tuple is in the same format as ADMINS that specifies who should get
broken-link notifications when SEND_BROKEN_LINK_EMAILS=True.
MIDDLEWARE_CLASSES
Default:
("django.contrib.sessions.middleware.SessionMiddleware",
"django.contrib.auth.middleware.AuthenticationMiddleware",
"django.middleware.common.CommonMiddleware",
"django.middleware.doc.XViewMiddleware")
This is a tuple of middleware classes to use. See Chapter 17.
PREPEND_WWW
Default: False
This setting indicates whether to prepend the “www.” subdomain to URLs that don’t have it.
This is used only if CommonMiddleware is installed (see the Chapter 17). See also
APPEND_SLASH.
ROOT_URLCONF
Default: Not defined
This is a string representing the full Python import path to your root URLconf (e.g.,
"mydjangoapps.urls"). See Chapter 3.
SECRET_KEY
Default: (Generated automatically when you start a project)
This is a secret key for this particular Django installation. It is used to provide a seed in
secret-key hashing algorithms. Set this to a random string – the longer, the
better. django-admin.py startproject creates one automatically and most
of the time you won’t need to change it
SEND_BROKEN_LINK_EMAILS
Default: False
This setting indicates whether to send an email to the MANAGERS each time somebody visits a
Django-powered page that is 404-ed with a nonempty referer (i.e., a broken
link). This is only used if CommonMiddleware is installed (see Chapter 17).
See also IGNORABLE_404_STARTS and IGNORABLE_404_ENDS.
SERVER_EMAIL
Default: 'root@localhost'
This is the email address that error messages come from, such as those sent to
ADMINS and MANAGERS.
SESSION_COOKIE_AGE
Default: 1209600 (two weeks, in seconds)
This is the age of session cookies, in seconds. See Chapter 14.
SESSION_COOKIE_DOMAIN
Default: None
This is the domain to use for session cookies. Set this to a string such as
".lawrence.com" for cross-domain cookies, or use None for a standard
domain cookie. See Chapter 14.
SESSION_COOKIE_NAME
Default: 'sessionid'
This is the name of the cookie to use for sessions; it can be whatever you want.
See Chapter 14.
SESSION_COOKIE_SECURE
Default: False
This setting indicates whether to use a secure cookie for the session cookie.
If this is set to True, the cookie will be marked as “secure,”
which means browsers may ensure that the cookie is only sent under an HTTPS connection.
See Chapter 14.
SESSION_EXPIRE_AT_BROWSER_CLOSE
Default: False
This setting indicates whether to expire the session when the user closes
his browser. See Chapter 14.
SESSION_SAVE_EVERY_REQUEST
Default: False
This setting indicates whether to save the session data on every request. See Chapter 14.
SITE_ID
Default: Not defined
This is the ID, as an integer, of the current site in the django_site database
table. It is used so that application data can hook into specific site(s)
and a single database can manage content for multiple sites. See Chapter 16.
TEMPLATE_CONTEXT_PROCESSORS
Default:
("django.core.context_processors.auth",
"django.core.context_processors.debug",
"django.core.context_processors.i18n",
"django.core.context_processors.media")
This is a tuple of callables that are used to populate the context in RequestContext.
These callables take a request object as their argument and return a dictionary
of items to be merged into the context. See Chapter 9.
TEMPLATE_DEBUG
Default: False
This Boolean turns template debug mode on and off. If it is True, the fancy
error page will display a detailed report for any TemplateSyntaxError. This
report contains the relevant snippet of the template, with the appropriate line
highlighted.
Note that Django only displays fancy error pages if DEBUG is True, so
you’ll want to set that to take advantage of this setting.
See also DEBUG.
TEMPLATE_DIRS
Default: () (empty tuple)
This is a list of locations of the template source files, in search order. Note that these
paths should use Unix-style forward slashes, even on Windows. See Chapters 4 and
9.
TEMPLATE_LOADERS
Default:
('django.template.loaders.filesystem.load_template_source',
'django.template.loaders.app_directories.load_template_source')
This is a tuple of callables (as strings) that know how to import templates from
various sources. See Chapter 9.
TEMPLATE_STRING_IF_INVALID
Default: '' (Empty string)
This is output, as a string, that the template system should use for invalid (e.g.,
misspelled) variables. See Chapter 9.
TEST_DATABASE_NAME
Default: None
This is the name of database to use when running the test suite. If a value of None
is specified, the test database will use the name 'test_' +
settings.DATABASE_NAME. See the documentation for Django’s testing framework,
which is covered online at http://docs.djangoproject.com/en/dev/topics/testing/.
TIME_ZONE
Default: 'America/Chicago'
This is a string representing the time zone for this installation. Time zones are in the
Unix-standard zic format. One relatively complete list of time zone strings
can be found at
http://www.postgresql.org/docs/8.1/static/datetime-keywords.html#DATETIME-TIMEZONE-SET-TABLE.
This is the time zone to which Django will convert all dates/times –
not necessarily the time zone of the server. For example, one server may serve
multiple Django-powered sites, each with a separate time-zone setting.
Normally, Django sets the os.environ['TZ'] variable to the time zone you
specify in the TIME_ZONE setting. Thus, all your views and models will
automatically operate in the correct time zone. However, if you’re using the
manually configuring settings (described above in the section titled “Using
Settings Without Setting DJANGO_SETTINGS_MODULE”), Django will not touch the
TZ environment variable, and it will be up to you to ensure your processes
are running in the correct environment.
Note
Django cannot reliably use alternate time zones in a Windows environment. If
you’re running Django on Windows, this variable must be set to match the
system time zone.
URL_VALIDATOR_USER_AGENT
Default: Django/<version> (http://www.djangoproject.com/)
This is the string to use as the User-Agent header when checking to see if URLs
exist (see the verify_exists option on URLField; see Appendix A).
USE_I18N
Default: True
This Boolean specifies whether Django’s internationalization system (see
Chapter 19) should be enabled. It provides an easy way to turn off internationalization, for
performance. If this is set to False, Django will make some optimizations so
as not to load the internationalization machinery.
Appendix F: The django-admin Utility
django-admin.py is Django’s command-line utility for administrative tasks.
This appendix explains its many powers.
You’ll usually access django-admin.py through a project’s manage.py
wrapper. manage.py is automatically created in each Django project and is a
thin wrapper around django-admin.py. It takes care of two things for you
before delegating to django-admin.py:
- It puts your project’s package on sys.path.
- It sets the DJANGO_SETTINGS_MODULE environment variable so that it
points to your project’s settings.py file.
The django-admin.py script should be on your system path if you installed
Django via its setup.py utility. If it’s not on your path, you can find it in
site-packages/django/bin within your Python installation. Consider
symlinking it from some place on your path, such as /usr/local/bin.
Windows users, who do not have symlinking functionality available,
can copy django-admin.py to a location on their existing path or edit the
PATH settings (under Settings ~TRA Control Panel ~TRA System ~TRA Advanced ~TRA
Environment) to point to its installed location.
Generally, when working on a single Django project, it’s easier to use
manage.py. Use django-admin.py with DJANGO_SETTINGS_MODULE or the
--settings command-line option, if you need to switch between multiple
Django settings files.
The command-line examples throughout this appendix use django-admin.py to
be consistent, but any example can use manage.py just as well.
Usage
Here’s how to use it:
django-admin.py <subcommand> [options]
manage.py <subcommand> [options]
subcommand should be one of the subcommands listed in this appendix.
options, which is optional, should be zero or more of the options available
for the given subcommand.
Getting runtime help
Run django-admin.py help to display a list of all available subcommands.
Run django-admin.py help <subcommand> to display a description of the
given subcommand and a list of its available options.
App names
Many subcommands take a list of “app names.” An “app name” is the basename of
the package containing your models. For example, if your INSTALLED_APPS
contains the string 'mysite.blog', the app name is blog.
Determining the version
Run django-admin.py --version to display the current Django version.
Examples of output:
1.1
1.0
0.96
0.97-pre-SVN-6069
Displaying debug output
Use --verbosity to specify the amount of notification and debug information
that django-admin.py should print to the console.
Available subcommands
cleanup
Can be run as a cronjob or directly to clean out old data from the database
(only expired sessions at the moment).
compilemessages
Compiles .po files created with makemessages to .mo files for use with
the builtin gettext support. See Chapter 19.
–locale
Use the --locale or -l option to specify the locale to process.
If not provided all locales are processed.
Example usage:
django-admin.py compilemessages --locale=br_PT
createcachetable
Creates a cache table with a given name for use with the database cache
backend. See Chapter 15.
Example usage:
django-admin.py createcachetable my_cache_table
createsuperuser
Creates a superuser account (a user who has all permissions). This is
useful if you need to create an initial superuser account but did not
do so during syncdb, or if you need to programmatically generate
superuser accounts for your site(s).
When run interactively, this command will prompt for a password for
the new superuser account. When run non-interactively, no password
will be set, and the superuser account will not be able to log in until
a password has been manually set for it.
The username and e-mail address for the new account can be supplied by
using the --username and --email arguments on the command
line. If either of those is not supplied, createsuperuser will prompt for
it when running interactively.
This command is only available if Django’s authentication system
(django.contrib.auth) is in INSTALLED_APPS. See Chapter 14.
dbshell
Runs the command-line client for the database engine specified in your
DATABASE_ENGINE setting, with the connection parameters specified in your
DATABASE_USER, DATABASE_PASSWORD, etc., settings.
- For PostgreSQL, this runs the psql command-line client.
- For MySQL, this runs the mysql command-line client.
- For SQLite, this runs the sqlite3 command-line client.
This command assumes the programs are on your PATH so that a simple call to
the program name (psql, mysql, sqlite3) will find the program in
the right place. There’s no way to specify the location of the program
manually.
diffsettings
Displays differences between the current settings file and Django’s default
settings.
Settings that don’t appear in the defaults are followed by "###". For
example, the default settings don’t define ROOT_URLCONF, so
ROOT_URLCONF is followed by "###" in the output of diffsettings.
Note that Django’s default settings live in django/conf/global_settings.py,
if you’re ever curious to see the full list of defaults.
dumpdata
Outputs to standard output all data in the database associated with the named
application(s).
If no application name is provided, all installed applications will be dumped.
The output of dumpdata can be used as input for loaddata.
Note that dumpdata uses the default manager on the model for selecting the
records to dump. If you’re using a custom manager as the default manager and it
filters some of the available records, not all of the objects will be dumped.
Example usage:
django-admin.py dumpdata books
Use the --exclude option to exclude a specific application from the
applications whose contents are output. For example, to specifically exclude
the auth application from the output, you would call:
django-admin.py dumpdata --exclude=auth
If you want to exclude multiple applications, use multiple --exclude
directives:
django-admin.py dumpdata --exclude=auth --exclude=contenttypes
By default, dumpdata will format its output in JSON, but you can use the
--format option to specify another format. Currently supported formats
are listed in serialization-formats.
By default, dumpdata will output all data on a single line. This isn’t
easy for humans to read, so you can use the --indent option to
pretty-print the output with a number of indentation spaces.
In addition to specifying application names, you can provide a list of
individual models, in the form of appname.Model. If you specify a model
name to dumpdata, the dumped output will be restricted to that model,
rather than the entire application. You can also mix application names and
model names.
flush
Returns the database to the state it was in immediately after syncdb was
executed. This means that all data will be removed from the database, any
post-synchronization handlers will be re-executed, and the initial_data
fixture will be re-installed.
Use the --noinput option to suppress all user prompting, such as “Are
you sure?” confirmation messages. This is useful if django-admin.py is
being executed as an unattended, automated script.
inspectdb
Introspects the database tables in the database pointed-to by the
DATABASE_NAME setting and outputs a Django model module (a models.py
file) to standard output.
Use this if you have a legacy database with which you’d like to use Django.
The script will inspect the database and create a model for each table within
it.
As you might expect, the created models will have an attribute for every field
in the table. Note that inspectdb has a few special cases in its field-name
output:
- If inspectdb cannot map a column’s type to a model field type, it’ll
use TextField and will insert the Python comment
'This field type is a guess.' next to the field in the generated
model.
- If the database column name is a Python reserved word (such as
'pass', 'class' or 'for'), inspectdb will append
'_field' to the attribute name. For example, if a table has a column
'for', the generated model will have a field 'for_field', with
the db_column attribute set to 'for'. inspectdb will insert
the Python comment
'Field renamed because it was a Python reserved word.' next to the
field.
This feature is meant as a shortcut, not as definitive model generation. After
you run it, you’ll want to look over the generated models yourself to make
customizations. In particular, you’ll need to rearrange models’ order, so that
models that refer to other models are ordered properly.
Primary keys are automatically introspected for PostgreSQL, MySQL and
SQLite, in which case Django puts in the primary_key=True where
needed.
inspectdb works with PostgreSQL, MySQL and SQLite. Foreign-key detection
only works in PostgreSQL and with certain types of MySQL tables.
loaddata <fixture fixture ...>
Searches for and loads the contents of the named fixture into the database.
What’s a “fixture”?
A fixture is a collection of files that contain the serialized contents of
the database. Each fixture has a unique name, and the files that comprise the
fixture can be distributed over multiple directories, in multiple applications.
Django will search in three locations for fixtures:
- In the fixtures directory of every installed application
- In any directory named in the FIXTURE_DIRS setting
- In the literal path named by the fixture
Django will load any and all fixtures it finds in these locations that match
the provided fixture names.
If the named fixture has a file extension, only fixtures of that type
will be loaded. For example:
django-admin.py loaddata mydata.json
would only load JSON fixtures called mydata. The fixture extension
must correspond to the registered name of a
serializer (e.g., json or xml). For more on serializers, see the Django
docs.
If you omit the extensions, Django will search all available fixture types
for a matching fixture. For example:
django-admin.py loaddata mydata
would look for any fixture of any fixture type called mydata. If a fixture
directory contained mydata.json, that fixture would be loaded
as a JSON fixture.
The fixtures that are named can include directory components. These
directories will be included in the search path. For example:
django-admin.py loaddata foo/bar/mydata.json
would search <appname>/fixtures/foo/bar/mydata.json for each installed
application, <dirname>/foo/bar/mydata.json for each directory in
FIXTURE_DIRS, and the literal path foo/bar/mydata.json.
When fixture files are processed, the data is saved to the database as is.
Model defined save methods and pre_save signals are not called.
Note that the order in which fixture files are processed is undefined. However,
all fixture data is installed as a single transaction, so data in
one fixture can reference data in another fixture. If the database backend
supports row-level constraints, these constraints will be checked at the
end of the transaction.
The dumpdata command can be used to generate input for loaddata.
Compressed fixtures
Fixtures may be compressed in zip, gz, or bz2 format. For example:
django-admin.py loaddata mydata.json
would look for any of mydata.json, mydata.json.zip,
mydata.json.gz, or mydata.json.bz2. The first file contained within a
zip-compressed archive is used.
Note that if two fixtures with the same name but different
fixture type are discovered (for example, if mydata.json and
mydata.xml.gz were found in the same fixture directory), fixture
installation will be aborted, and any data installed in the call to
loaddata will be removed from the database.
MySQL and Fixtures
Unfortunately, MySQL isn’t capable of completely supporting all the
features of Django fixtures. If you use MyISAM tables, MySQL doesn’t
support transactions or constraints, so you won’t get a rollback if
multiple fixture files are found, or validation of fixture data fails.
If you use InnoDB tables, you won’t be able to have any forward
references in your data files – MySQL doesn’t provide a mechanism to
defer checking of row constraints until a transaction is committed.
makemessages
Runs over the entire source tree of the current directory and pulls out all
strings marked for translation. It creates (or updates) a message file in the
conf/locale (in the django tree) or locale (for project and application)
directory. After making changes to the messages files you need to compile them
with compilemessages for use with the builtin gettext support. See Chapter
19 for details.
–all
Use the --all or -a option to update the message files for all
available languages.
Example usage:
django-admin.py makemessages --all
–extension
Use the --extension or -e option to specify a list of file extensions
to examine (default: ”.html”).
Example usage:
django-admin.py makemessages --locale=de --extension xhtml
Separate multiple extensions with commas or use -e or –extension multiple times:
django-admin.py makemessages --locale=de --extension=html,txt --extension xml
–locale
Use the --locale or -l option to specify the locale to process.
Example usage:
django-admin.py makemessages --locale=br_PT
–domain
Use the --domain or -d option to change the domain of the messages files.
Currently supported:
- django for all *.py and *.html files (default)
- djangojs for *.js files
reset <appname appname ...>
Executes the equivalent of sqlreset for the given app name(s).
runfcgi [options]
Starts a set of FastCGI processes suitable for use with any Web server that
supports the FastCGI protocol. See Chapter 12 for details. Requires the Python
FastCGI module from flup: http://www.saddi.com/software/flup/
runserver
Starts a lightweight development Web server on the local machine. By default,
the server runs on port 8000 on the IP address 127.0.0.1. You can pass in an
IP address and port number explicitly.
If you run this script as a user with normal privileges (recommended), you
might not have access to start a port on a low port number. Low port numbers
are reserved for the superuser (root).
DO NOT USE THIS SERVER IN A PRODUCTION SETTING. It has not gone through
security audits or performance tests. (And that’s how it’s gonna stay. We’re in
the business of making Web frameworks, not Web servers, so improving this
server to be able to handle a production environment is outside the scope of
Django.)
The development server automatically reloads Python code for each request, as
needed. You don’t need to restart the server for code changes to take effect.
When you start the server, and each time you change Python code while the
server is running, the server will validate all of your installed models. (See
the validate command below.) If the validator finds errors, it will print
them to standard output, but it won’t stop the server.
You can run as many servers as you want, as long as they’re on separate ports.
Just execute django-admin.py runserver more than once.
Note that the default IP address, 127.0.0.1, is not accessible from other
machines on your network. To make your development server viewable to other
machines on the network, use its own IP address (e.g. 192.168.2.1) or
0.0.0.0 (which you can use if you don’t know what your IP address is
on the network).
Use the --adminmedia option to tell Django where to find the various CSS
and JavaScript files for the Django admin interface. Normally, the development
server serves these files out of the Django source tree magically, but you’d
want to use this if you made any changes to those files for your own site.
Example usage:
django-admin.py runserver --adminmedia=/tmp/new-admin-style/
Use the --noreload option to disable the use of the auto-reloader. This
means any Python code changes you make while the server is running will not
take effect if the particular Python modules have already been loaded into
memory.
Example usage:
django-admin.py runserver --noreload
Examples of using different ports and addresses
Port 8000 on IP address 127.0.0.1:
django-admin.py runserver
Port 8000 on IP address 1.2.3.4:
django-admin.py runserver 1.2.3.4:8000
Port 7000 on IP address 127.0.0.1:
django-admin.py runserver 7000
Port 7000 on IP address 1.2.3.4:
django-admin.py runserver 1.2.3.4:7000
Serving static files with the development server
By default, the development server doesn’t serve any static files for your site
(such as CSS files, images, things under MEDIA_URL and so forth).
shell
Starts the Python interactive interpreter.
Django will use IPython (http://ipython.scipy.org/), if it’s installed. If you
have IPython installed and want to force use of the “plain” Python interpreter,
use the --plain option, like so:
django-admin.py shell --plain
sql <appname appname ...>
Prints the CREATE TABLE SQL statements for the given app name(s).
sqlall <appname appname ...>
Prints the CREATE TABLE and initial-data SQL statements for the given app name(s).
Refer to the description of sqlcustom for an explanation of how to
specify initial data.
sqlclear <appname appname ...>
Prints the DROP TABLE SQL statements for the given app name(s).
sqlcustom <appname appname ...>
Prints the custom SQL statements for the given app name(s).
For each model in each specified app, this command looks for the file
<appname>/sql/<modelname>.sql, where <appname> is the given app name and
<modelname> is the model’s name in lowercase. For example, if you have an
app news that includes a Story model, sqlcustom will attempt
to read a file news/sql/story.sql and append it to the output of this
command.
Each of the SQL files, if given, is expected to contain valid SQL. The SQL
files are piped directly into the database after all of the models’
table-creation statements have been executed. Use this SQL hook to make any
table modifications, or insert any SQL functions into the database.
Note that the order in which the SQL files are processed is undefined.
sqlflush
Prints the SQL statements that would be executed for the flush command.
sqlindexes <appname appname ...>
Prints the CREATE INDEX SQL statements for the given app name(s).
sqlreset <appname appname ...>
Prints the DROP TABLE SQL, then the CREATE TABLE SQL, for the given app name(s).
sqlsequencereset <appname appname ...>
Prints the SQL statements for resetting sequences for the given app name(s).
startapp <appname>
Creates a Django app directory structure for the given app name in the current
directory.
startproject <projectname>
Creates a Django project directory structure for the given project name in the
current directory.
This command is disabled when the --settings option to
django-admin.py is used, or when the environment variable
DJANGO_SETTINGS_MODULE has been set. To re-enable it in these
situations, either omit the --settings option or unset
DJANGO_SETTINGS_MODULE.
syncdb
Creates the database tables for all apps in INSTALLED_APPS whose tables
have not already been created.
Use this command when you’ve added new applications to your project and want to
install them in the database. This includes any apps shipped with Django that
might be in INSTALLED_APPS by default. When you start a new project, run
this command to install the default apps.
Syncdb will not alter existing tables
syncdb will only create tables for models which have not yet been
installed. It will never issue ALTER TABLE statements to match
changes made to a model class after installation. Changes to model classes
and database schemas often involve some form of ambiguity and, in those
cases, Django would have to guess at the correct changes to make. There is
a risk that critical data would be lost in the process.
If you have made changes to a model and wish to alter the database tables
to match, use the sql command to display the new SQL structure and
compare that to your existing table schema to work out the changes.
If you’re installing the django.contrib.auth application, syncdb will
give you the option of creating a superuser immediately.
syncdb will also search for and install any fixture named initial_data
with an appropriate extension (e.g. json or xml). See the
documentation for loaddata for details on the specification of fixture
data files.
–noinput
Use the --noinput option to suppress all user prompting, such as
“Are you sure?” confirmation messages. This is useful if django-admin.py
is being executed as an unattended, automated script.
test
Runs tests for all installed models. See the Django documentation for more
on testing.
–noinput
Use the --noinput option to suppress all user prompting, such as
“Are you sure?” confirmation messages. This is useful if django-admin.py
is being executed as an unattended, automated script.
testserver <fixture fixture ...>
Runs a Django development server (as in runserver) using data from the
given fixture(s).
For more, see the Django documentation.
validate
Validates all installed models (according to the INSTALLED_APPS setting)
and prints validation errors to standard output.
Default options
Although some subcommands may allow their own custom options, every subcommand
allows for the following options:
–pythonpath
Example usage:
django-admin.py syncdb --pythonpath='/home/djangoprojects/myproject'
Adds the given filesystem path to the Python import search path. If this
isn’t provided, django-admin.py will use the PYTHONPATH environment
variable.
Note that this option is unnecessary in manage.py, because it takes care of
setting the Python path for you.
–settings
Example usage:
django-admin.py syncdb --settings=mysite.settings
Explicitly specifies the settings module to use. The settings module should be
in Python package syntax, e.g. mysite.settings. If this isn’t provided,
django-admin.py will use the DJANGO_SETTINGS_MODULE environment
variable.
Note that this option is unnecessary in manage.py, because it uses
settings.py from the current project by default.
–traceback
Example usage:
django-admin.py syncdb --traceback
By default, django-admin.py will show a simple error message whenever an
error occurs. If you specify --traceback, django-admin.py will
output a full stack trace whenever an exception is raised.
–verbosity
Example usage:
django-admin.py syncdb --verbosity 2
Use --verbosity to specify the amount of notification and debug information
that django-admin.py should print to the console.
- 0 means no output.
- 1 means normal output (default).
- 2 means verbose output.
Appendix G: Request and Response Objects
Django uses request and response objects to pass state through the system.
When a page is requested, Django creates an HttpRequest object that
contains metadata about the request. Then Django loads the appropriate view,
passing the HttpRequest as the first argument to the view function. Each
view is responsible for returning an HttpResponse object.
We’ve used these objects often throughout the book; this appendix explains the
complete APIs for HttpRequest and HttpResponse objects.
HttpRequest
HttpRequest represents a single HTTP request from some user-agent.
Much of the important information about the request is available as attributes
on the HttpRequest instance (see Table G-1). All attributes except
session should be considered read-only.
Table G-1. Attributes of HttpRequest Objects
Attribute |
Description |
path |
A string representing the full path to the requested
page, not including the domain – for example,
"/music/bands/the_beatles/". |
method |
A string representing the HTTP method used in the
request. This is guaranteed to be uppercase. For
example:
if request.method == 'GET':
do_something()
elif request.method == 'POST':
do_something_else()
|
encoding |
A string representing the current encoding used to
decode form submission data (or None, which means
the DEFAULT_CHARSET setting is used).
You can write to this attribute to change the encoding
used when accessing the form data. Any subsequent
attribute accesses (such as reading from GET or
POST) will use the new encoding value. Useful
if you know the form data is not in the
DEFAULT_CHARSET encoding.
|
GET |
A dictionary-like object containing all given HTTP GET
parameters. See the upcoming QueryDict documentation. |
POST |
A dictionary-like object containing all given HTTP POST
parameters. See the upcoming QueryDict documentation.
It’s possible that a request can come in via POST with
an empty POST dictionary – if, say, a form is
requested via the POST HTTP method but does not
include form data. Therefore, you shouldn’t use if
request.POST to check for use of the POST method;
instead, use if request.method == "POST" (see
the method entry in this table).
Note: POST does not include file-upload
information. See FILES.
|
REQUEST |
For convenience, a dictionary-like object that searches
POST first, and then GET. Inspired by PHP’s
$_REQUEST.
For example, if GET = {"name": "john"} and POST
= {"age": '34'}, REQUEST["name"] would be
"john", and REQUEST["age"] would be "34".
It’s strongly suggested that you use GET and
POST instead of REQUEST, because the former
are more explicit.
|
COOKIES |
A standard Python dictionary containing all cookies.
Keys and values are strings. See Chapter 14 for more
on using cookies. |
FILES |
A dictionary-like object that maps filenames to
UploadedFile objects. See the Django
documentation for more. |
META |
A standard Python dictionary containing all available
HTTP headers. Available headers depend on the client
and server, but here are some examples:
- CONTENT_LENGTH
- CONTENT_TYPE
- QUERY_STRING: The raw unparsed query string
- REMOTE_ADDR: The IP address of the client
- REMOTE_HOST: The hostname of the client
- SERVER_NAME: The hostname of the server.
- SERVER_PORT: The port of the server
Any HTTP headers are available in META as keys
prefixed with HTTP_, converted to uppercase and
substituting underscores for hyphens. For example:
- HTTP_ACCEPT_ENCODING
- HTTP_ACCEPT_LANGUAGE
- HTTP_HOST: The HTTP Host header sent by
the client
- HTTP_REFERER: The referring page, if any
- HTTP_USER_AGENT: The client’s user-agent string
- HTTP_X_BENDER: The value of the X-Bender
header, if set
|
user |
A django.contrib.auth.models.User object
representing the currently logged-in user. If the user
isn’t currently logged in, user will be set to an
instance of
django.contrib.auth.models.AnonymousUser. You can
tell them apart with is_authenticated(), like so:
if request.user.is_authenticated():
# Do something for logged-in users.
else:
# Do something for anonymous users.
user is available only if your Django installation
has the AuthenticationMiddleware activated.
For the complete details of authentication and users,
see Chapter 14.
|
session |
A readable and writable, dictionary-like object that
represents the current session. This is available only
if your Django installation has session support
activated. See Chapter 14. |
raw_post_data |
The raw HTTP POST data. This is useful for advanced
processing. |
Request objects also have a few useful methods, as shown in Table G-2.
Table G-2. HttpRequest Methods
Method |
Description |
__getitem__(key) |
Returns the GET/POST value for the given key,
checking POST first, and then GET. Raises
KeyError if the key doesn’t exist.
This lets you use dictionary-accessing syntax on
an HttpRequest instance.
For example, request["foo"] is the same as
checking request.POST["foo"] and then
request.GET["foo"].
|
has_key() |
Returns True or False, designating whether
request.GET or request.POST has the given
key. |
get_host() |
Returns the originating host of the request using
information from the HTTP_X_FORWARDED_HOST and
HTTP_HOST headers (in that order). If they
don’t provide a value, the method uses a
combination of SERVER_NAME and
SERVER_PORT. |
get_full_path() |
Returns the path, plus an appended query
string, if applicable. For example,
"/music/bands/the_beatles/?print=true" |
is_secure() |
Returns True if the request is secure; that
is, if it was made with HTTPS. |
QueryDict Objects
In an HttpRequest object, the GET and POST attributes are
instances of django.http.QueryDict. QueryDict is a dictionary-like
class customized to deal with multiple values for the same key. This is
necessary because some HTML form elements, notably <select
multiple="multiple">, pass multiple values for the same key.
QueryDict instances are immutable, unless you create a copy() of them.
That means you can’t change attributes of request.POST and request.GET
directly.
QueryDict implements the all standard dictionary methods, because it’s a
subclass of dictionary. Exceptions are outlined in Table G-3.
Table G-3. How QueryDicts Differ from Standard Dictionaries.
Method |
Differences from Standard dict Implementation |
__getitem__ |
Works just like a dictionary. However, if the key
has more than one value, __getitem__() returns the
last value. |
__setitem__ |
Sets the given key to [value] (a Python list whose
single element is value). Note that this, as other
dictionary functions that have side effects, can
be called only on a mutable QueryDict (one that was
created via copy()). |
get() |
If the key has more than one value, get() returns
the last value just like __getitem__. |
update() |
Takes either a QueryDict or standard dictionary.
Unlike the standard dictionary’s update method,
this method appends to the current dictionary items
rather than replacing them:
>>> q = QueryDict('a=1')
>>> q = q.copy() # to make it mutable
>>> q.update({'a': '2'})
>>> q.getlist('a')
['1', '2']
>>> q['a'] # returns the last
['2']
|
items() |
Just like the standard dictionary items() method,
except this uses the same last-value logic as
__getitem()__:
>>> q = QueryDict('a=1&a=2&a=3')
>>> q.items()
[('a', '3')]
|
values() |
Just like the standard dictionary values() method,
except this uses the same last-value logic as
__getitem()__. |
In addition, QueryDict has the methods shown in Table G-4.
G-4. Extra (Nondictionary) QueryDict Methods
Method |
Description |
copy() |
Returns a copy of the object, using
copy.deepcopy() from the Python standard
library. The copy will be mutable – that is,
you can change its values. |
getlist(key) |
Returns the data with the requested key, as a
Python list. Returns an empty list if the key
doesn’t exist. It’s guaranteed to return a
list of some sort. |
setlist(key, list_) |
Sets the given key to list_ (unlike
__setitem__()). |
appendlist(key, item) |
Appends an item to the internal list associated
with key. |
setlistdefault(key, a) |
Just like setdefault, except it takes a
list of values instead of a single value. |
lists() |
Like items(), except it includes all
values, as a list, for each member of the
dictionary. For example:
>>> q = QueryDict('a=1&a=2&a=3')
>>> q.lists()
[('a', ['1', '2', '3'])]
|
urlencode() |
Returns a string of the data in query-string
format (e.g., "a=2&b=3&b=5"). |
A Complete Example
For example, given this HTML form:
<form action="/foo/bar/" method="post">
<input type="text" name="your_name" />
<select multiple="multiple" name="bands">
<option value="beatles">The Beatles</option>
<option value="who">The Who</option>
<option value="zombies">The Zombies</option>
</select>
<input type="submit" />
</form>
if the user enters "John Smith" in the your_name field and selects
both “The Beatles” and “The Zombies” in the multiple select box, here’s what
Django’s request object would have:
>>> request.GET
{}
>>> request.POST
{'your_name': ['John Smith'], 'bands': ['beatles', 'zombies']}
>>> request.POST['your_name']
'John Smith'
>>> request.POST['bands']
'zombies'
>>> request.POST.getlist('bands')
['beatles', 'zombies']
>>> request.POST.get('your_name', 'Adrian')
'John Smith'
>>> request.POST.get('nonexistent_field', 'Nowhere Man')
'Nowhere Man'
Implementation Note:
The GET, POST, COOKIES, FILES, META, REQUEST,
raw_post_data, and user attributes are all lazily loaded. That means
Django doesn’t spend resources calculating the values of those attributes until
your code requests them.
HttpResponse
In contrast to HttpRequest objects, which are created automatically by
Django, HttpResponse objects are your responsibility. Each view you write
is responsible for instantiating, populating, and returning an
HttpResponse.
The HttpResponse class lives at django.http.HttpResponse.
Construction HttpResponses
Typically, you’ll construct an HttpResponse to pass the contents of the
page, as a string, to the HttpResponse constructor:
>>> response = HttpResponse("Here's the text of the Web page.")
>>> response = HttpResponse("Text only, please.", mimetype="text/plain")
But if you want to add content incrementally, you can use response as a
filelike object:
>>> response = HttpResponse()
>>> response.write("<p>Here's the text of the Web page.</p>")
>>> response.write("<p>Here's another paragraph.</p>")
You can pass HttpResponse an iterator rather than passing it
hard-coded strings. If you use this technique, follow these guidelines:
- The iterator should return strings.
- If an HttpResponse has been initialized with an iterator as its
content, you can’t use the HttpResponse instance as a filelike
object. Doing so will raise Exception.
Finally, note that HttpResponse implements a write() method, which
makes is suitable for use anywhere that Python expects a filelike object. See
Chapter 8 for some examples of using this technique.
HttpResponse Subclasses
Django includes a number of HttpResponse subclasses that handle different
types of HTTP responses (see Table G-5). Like HttpResponse, these subclasses live in
django.http.
Table G-5. HttpResponse Subclasses
Class |
Description |
HttpResponseRedirect |
The constructor takes a single argument:
the path to redirect to. This can
be a fully qualified URL (e.g.,
'http://search.yahoo.com/') or
an absolute URL with no domain (e.g.,
'/search/'). Note that this
returns an HTTP status code 302. |
HttpResponsePermanentRedirect |
Like HttpResponseRedirect, but it
returns a permanent redirect (HTTP
status code 301) instead of a “found”
redirect (status code 302). |
HttpResponseNotModified |
The constructor doesn’t take any
arguments. Use this to designate that
a page hasn’t been modified since the
user’s last request. |
HttpResponseBadRequest |
Acts just like HttpResponse but
uses a 400 status code. |
HttpResponseNotFound |
Acts just like HttpResponse but
uses a 404 status code. |
HttpResponseForbidden |
Acts just like HttpResponse but
uses a 403 status code. |
HttpResponseNotAllowed |
Like HttpResponse, but uses a 405
status code. It takes a single, required
argument: a list of permitted methods
(e.g., ['GET', 'POST']). |
HttpResponseGone |
Acts just like HttpResponse but
uses a 410 status code. |
HttpResponseServerError |
Acts just like HttpResponse but
uses a 500 status code. |
You can, of course, define your own HttpResponse subclass to support
different types of responses not supported out of the box.
Returning Errors
Returning HTTP error codes in Django is easy. We’ve already mentioned the
HttpResponseNotFound, HttpResponseForbidden,
HttpResponseServerError, and other subclasses. Just return an instance of one
of those subclasses instead of a normal HttpResponse in order to signify
an error, for example:
def my_view(request):
# ...
if foo:
return HttpResponseNotFound('<h1>Page not found</h1>')
else:
return HttpResponse('<h1>Page was found</h1>')
Because a 404 error is by far the most common HTTP error, there’s an easier
way to handle it.
When you return an error such as HttpResponseNotFound, you’re responsible
for defining the HTML of the resulting error page:
return HttpResponseNotFound('<h1>Page not found</h1>')
For convenience, and because it’s a good idea to have a consistent 404 error page
across your site, Django provides an Http404 exception. If you raise
Http404 at any point in a view function, Django will catch it and return the
standard error page for your application, along with an HTTP error code 404.
Here’s an example:
from django.http import Http404
def detail(request, poll_id):
try:
p = Poll.objects.get(pk=poll_id)
except Poll.DoesNotExist:
raise Http404
return render(request, 'polls/detail.html', {'poll': p})
In order to use the Http404 exception to its fullest, you should create a
template that is displayed when a 404 error is raised. This template should be
called 404.html, and it should be located in the top level of your template tree.
Customizing the 404 (Not Found) View
When you raise an Http404 exception, Django loads a special view devoted
to handling 404 errors. By default, it’s the view
django.views.defaults.page_not_found, which loads and renders the template
404.html.
This means you need to define a 404.html template in your root template
directory. This template will be used for all 404 errors.
This page_not_found view should suffice for 99% of Web applications, but
if you want to override the 404 view, you can specify handler404 in your
URLconf, like so:
from django.conf.urls.defaults import *
urlpatterns = patterns('',
...
)
handler404 = 'mysite.views.my_custom_404_view'
Behind the scenes, Django determines the 404 view by looking for
handler404. By default, URLconfs contain the following line:
from django.conf.urls.defaults import *
That takes care of setting handler404 in the current module. As you can
see in django/conf/urls/defaults.py, handler404 is set to
'django.views.defaults.page_not_found' by default.
There are three things to note about 404 views:
- The 404 view is also called if Django doesn’t find a match after checking
every regular expression in the URLconf.
- If you don’t define your own 404 view – and simply use the default,
which is recommended – you still have one obligation: to create a
404.html template in the root of your template directory. The default
404 view will use that template for all 404 errors.
- If DEBUG is set to True (in your settings module), then your 404
view will never be used, and the traceback will be displayed instead.
Customizing the 500 (Server Error) View
Similarly, Django executes special-case behavior in the case of runtime errors
in view code. If a view results in an exception, Django will, by default, call
the view django.views.defaults.server_error, which loads and renders the
template 500.html.
This means you need to define a 500.html template in your root template
directory. This template will be used for all server errors.
This server_error view should suffice for 99% of Web applications, but if
you want to override the view, you can specify handler500 in your
URLconf, like so:
from django.conf.urls.defaults import *
urlpatterns = patterns('',
...
)
handler500 = 'mysite.views.my_custom_error_view'
License & Copyright
Copyright Adrian Holovaty, Jacob Kaplan-Moss, and contributors.
Permission is granted to copy, distribute and/or modify this document under the
terms of the GNU Free Documentation License, Version 1.2 or any later version
published by the Free Software Foundation; with no Invariant Sections, no Front-
Cover Texts, and no Back-Cover Texts. A copy of the license is included in the
section below entitled “GNU Free Documentation License”.
GNU Free Documentation License
Version 1.2, November 2002
Copyright (C) 2000,2001,2002 Free Software Foundation, Inc.
51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
0. PREAMBLE
The purpose of this License is to make a manual, textbook, or other functional
and useful document “free” in the sense of freedom: to assure everyone the
effective freedom to copy and redistribute it, with or without modifying it,
either commercially or noncommercially. Secondarily, this License preserves for
the author and publisher a way to get credit for their work, while not being
considered responsible for modifications made by others.
This License is a kind of “copyleft”, which means that derivative works of the
document must themselves be free in the same sense. It complements the GNU
General Public License, which is a copyleft license designed for free software.
We have designed this License in order to use it for manuals for free software,
because free software needs free documentation: a free program should come with
manuals providing the same freedoms that the software does. But this License is
not limited to software manuals; it can be used for any textual work, regardless
of subject matter or whether it is published as a printed book. We recommend
this License principally for works whose purpose is instruction or reference.
1. APPLICABILITY AND DEFINITIONS
This License applies to any manual or other work, in any medium, that contains a
notice placed by the copyright holder saying it can be distributed under the
terms of this License. Such a notice grants a world-wide, royalty-free license,
unlimited in duration, to use that work under the conditions stated herein. The
“Document”, below, refers to any such manual or work. Any member of the public
is a licensee, and is addressed as “you”. You accept the license if you copy,
modify or distribute the work in a way requiring permission under copyright law.
A “Modified Version” of the Document means any work containing the Document or a
portion of it, either copied verbatim, or with modifications and/or translated
into another language.
A “Secondary Section” is a named appendix or a front-matter section of the
Document that deals exclusively with the relationship of the publishers or
authors of the Document to the Document’s overall subject (or to related
matters) and contains nothing that could fall directly within that overall
subject. (Thus, if the Document is in part a textbook of mathematics, a
Secondary Section may not explain any mathematics.) The relationship could be a
matter of historical connection with the subject or with related matters, or of
legal, commercial, philosophical, ethical or political position regarding them.
The “Invariant Sections” are certain Secondary Sections whose titles are
designated, as being those of Invariant Sections, in the notice that says that
the Document is released under this License. If a section does not fit the above
definition of Secondary then it is not allowed to be designated as Invariant.
The Document may contain zero Invariant Sections. If the Document does not
identify any Invariant Sections then there are none.
The “Cover Texts” are certain short passages of text that are listed, as Front-
Cover Texts or Back-Cover Texts, in the notice that says that the Document is
released under this License. A Front-Cover Text may be at most 5 words, and a
Back-Cover Text may be at most 25 words.
A “Transparent” copy of the Document means a machine-readable copy, represented
in a format whose specification is available to the general public, that is
suitable for revising the document straightforwardly with generic text editors
or (for images composed of pixels) generic paint programs or (for drawings) some
widely available drawing editor, and that is suitable for input to text
formatters or for automatic translation to a variety of formats suitable for
input to text formatters. A copy made in an otherwise Transparent file format
whose markup, or absence of markup, has been arranged to thwart or discourage
subsequent modification by readers is not Transparent. An image format is not
Transparent if used for any substantial amount of text. A copy that is not
“Transparent” is called “Opaque”.
Examples of suitable formats for Transparent copies include plain ASCII without
markup, Texinfo input format, LaTeX input format, SGML or XML using a publicly
available DTD, and standard-conforming simple HTML, PostScript or PDF designed
for human modification. Examples of transparent image formats include PNG, XCF
and JPG. Opaque formats include proprietary formats that can be read and edited
only by proprietary word processors, SGML or XML for which the DTD and/or
processing tools are not generally available, and the machine-generated HTML,
PostScript or PDF produced by some word processors for output purposes only.
The “Title Page” means, for a printed book, the title page itself, plus such
following pages as are needed to hold, legibly, the material this License
requires to appear in the title page. For works in formats which do not have any
title page as such, “Title Page” means the text near the most prominent
appearance of the work’s title, preceding the beginning of the body of the text.
A section “Entitled XYZ” means a named subunit of the Document whose title
either is precisely XYZ or contains XYZ in parentheses following text that
translates XYZ in another language. (Here XYZ stands for a specific section name
mentioned below, such as “Acknowledgements”, “Dedications”, “Endorsements”, or
“History”.) To “Preserve the Title” of such a section when you modify the
Document means that it remains a section “Entitled XYZ” according to this
definition.
The Document may include Warranty Disclaimers next to the notice which states
that this License applies to the Document. These Warranty Disclaimers are
considered to be included by reference in this License, but only as regards
disclaiming warranties: any other implication that these Warranty Disclaimers
may have is void and has no effect on the meaning of this License.
2. VERBATIM COPYING
You may copy and distribute the Document in any medium, either commercially or
noncommercially, provided that this License, the copyright notices, and the
license notice saying this License applies to the Document are reproduced in all
copies, and that you add no other conditions whatsoever to those of this
License. You may not use technical measures to obstruct or control the reading
or further copying of the copies you make or distribute. However, you may accept
compensation in exchange for copies. If you distribute a large enough number of
copies you must also follow the conditions in section 3.
You may also lend copies, under the same conditions stated above, and you may
publicly display copies.
3. COPYING IN QUANTITY
If you publish printed copies (or copies in media that commonly have printed
covers) of the Document, numbering more than 100, and the Document’s license
notice requires Cover Texts, you must enclose the copies in covers that carry,
clearly and legibly, all these Cover Texts: Front-Cover Texts on the front
cover, and Back-Cover Texts on the back cover. Both covers must also clearly and
legibly identify you as the publisher of these copies. The front cover must
present the full title with all words of the title equally prominent and
visible. You may add other material on the covers in addition. Copying with
changes limited to the covers, as long as they preserve the title of the
Document and satisfy these conditions, can be treated as verbatim copying in
other respects.
If the required texts for either cover are too voluminous to fit legibly, you
should put the first ones listed (as many as fit reasonably) on the actual
cover, and continue the rest onto adjacent pages.
If you publish or distribute Opaque copies of the Document numbering more than
100, you must either include a machine-readable Transparent copy along with each
Opaque copy, or state in or with each Opaque copy a computer-network location
from which the general network-using public has access to download using public-
standard network protocols a complete Transparent copy of the Document, free of
added material. If you use the latter option, you must take reasonably prudent
steps, when you begin distribution of Opaque copies in quantity, to ensure that
this Transparent copy will remain thus accessible at the stated location until
at least one year after the last time you distribute an Opaque copy (directly or
through your agents or retailers) of that edition to the public.
It is requested, but not required, that you contact the authors of the Document
well before redistributing any large number of copies, to give them a chance to
provide you with an updated version of the Document.
4. MODIFICATIONS
You may copy and distribute a Modified Version of the Document under the conditions of sections 2 and 3 above, provided that you release the Modified Version under precisely this License, with the Modified Version filling the role of the Document, thus licensing distribution and modification of the Modified Version to whoever possesses a copy of it. In addition, you must do these things in the Modified Version:
A. Use in the Title Page (and on the covers, if any) a title distinct from that
of the Document, and from those of previous versions (which should, if there
were any, be listed in the History section of the Document). You may use the
same title as a previous version if the original publisher of that version gives
permission.
B. List on the Title Page, as authors, one or more persons or entities
responsible for authorship of the modifications in the Modified Version,
together with at least five of the principal authors of the Document (all of its
principal authors, if it has fewer than five), unless they release you from this
requirement.
C. State on the Title page the name of the publisher of the Modified Version, as
the publisher.
- Preserve all the copyright notices of the Document.
E. Add an appropriate copyright notice for your modifications adjacent to the
other copyright notices.
F. Include, immediately after the copyright notices, a license notice giving the
public permission to use the Modified Version under the terms of this License,
in the form shown in the Addendum below.
G. Preserve in that license notice the full lists of Invariant Sections and
required Cover Texts given in the Document’s license notice.
- Include an unaltered copy of this License.
I. Preserve the section Entitled “History”, Preserve its Title, and add to it an
item stating at least the title, year, new authors, and publisher of the
Modified Version as given on the Title Page. If there is no section Entitled
“History” in the Document, create one stating the title, year, authors, and
publisher of the Document as given on its Title Page, then add an item
describing the Modified Version as stated in the previous sentence.
J. Preserve the network location, if any, given in the Document for public
access to a Transparent copy of the Document, and likewise the network locations
given in the Document for previous versions it was based on. These may be placed
in the “History” section. You may omit a network location for a work that was
published at least four years before the Document itself, or if the original
publisher of the version it refers to gives permission.
K. For any section Entitled “Acknowledgements” or “Dedications”, Preserve the
Title of the section, and preserve in the section all the substance and tone of
each of the contributor acknowledgements and/or dedications given therein.
L. Preserve all the Invariant Sections of the Document, unaltered in their text
and in their titles. Section numbers or the equivalent are not considered part
of the section titles.
M. Delete any section Entitled “Endorsements”. Such a section may not be
included in the Modified Version.
N. Do not retitle any existing section to be Entitled “Endorsements” or to
conflict in title with any Invariant Section.
- Preserve any Warranty Disclaimers.
If the Modified Version includes new front-matter sections or appendices that
qualify as Secondary Sections and contain no material copied from the Document,
you may at your option designate some or all of these sections as invariant. To
do this, add their titles to the list of Invariant Sections in the Modified
Version’s license notice. These titles must be distinct from any other section
titles.
You may add a section Entitled “Endorsements”, provided it contains nothing but
endorsements of your Modified Version by various parties–for example,
statements of peer review or that the text has been approved by an organization
as the authoritative definition of a standard.
You may add a passage of up to five words as a Front-Cover Text, and a passage
of up to 25 words as a Back-Cover Text, to the end of the list of Cover Texts in
the Modified Version. Only one passage of Front-Cover Text and one of Back-Cover
Text may be added by (or through arrangements made by) any one entity. If the
Document already includes a cover text for the same cover, previously added by
you or by arrangement made by the same entity you are acting on behalf of, you
may not add another; but you may replace the old one, on explicit permission
from the previous publisher that added the old one.
The author(s) and publisher(s) of the Document do not by this License give
permission to use their names for publicity for or to assert or imply
endorsement of any Modified Version.
5. COMBINING DOCUMENTS
You may combine the Document with other documents released under this License,
under the terms defined in section 4 above for modified versions, provided that
you include in the combination all of the Invariant Sections of all of the
original documents, unmodified, and list them all as Invariant Sections of your
combined work in its license notice, and that you preserve all their Warranty
Disclaimers.
The combined work need only contain one copy of this License, and multiple
identical Invariant Sections may be replaced with a single copy. If there are
multiple Invariant Sections with the same name but different contents, make the
title of each such section unique by adding at the end of it, in parentheses,
the name of the original author or publisher of that section if known, or else a
unique number. Make the same adjustment to the section titles in the list of
Invariant Sections in the license notice of the combined work.
In the combination, you must combine any sections Entitled “History” in the
various original documents, forming one section Entitled “History”; likewise
combine any sections Entitled “Acknowledgements”, and any sections Entitled
“Dedications”. You must delete all sections Entitled “Endorsements.”
6. COLLECTIONS OF DOCUMENTS
You may make a collection consisting of the Document and other documents
released under this License, and replace the individual copies of this License
in the various documents with a single copy that is included in the collection,
provided that you follow the rules of this License for verbatim copying of each
of the documents in all other respects.
You may extract a single document from such a collection, and distribute it
individually under this License, provided you insert a copy of this License into
the extracted document, and follow this License in all other respects regarding
verbatim copying of that document.
7. AGGREGATION WITH INDEPENDENT WORKS
A compilation of the Document or its derivatives with other separate and
independent documents or works, in or on a volume of a storage or distribution
medium, is called an “aggregate” if the copyright resulting from the compilation
is not used to limit the legal rights of the compilation’s users beyond what the
individual works permit. When the Document is included in an aggregate, this
License does not apply to the other works in the aggregate which are not
themselves derivative works of the Document.
If the Cover Text requirement of section 3 is applicable to these copies of the
Document, then if the Document is less than one half of the entire aggregate,
the Document’s Cover Texts may be placed on covers that bracket the Document
within the aggregate, or the electronic equivalent of covers if the Document is
in electronic form. Otherwise they must appear on printed covers that bracket
the whole aggregate.
8. TRANSLATION
Translation is considered a kind of modification, so you may distribute
translations of the Document under the terms of section 4. Replacing Invariant
Sections with translations requires special permission from their copyright
holders, but you may include translations of some or all Invariant Sections in
addition to the original versions of these Invariant Sections. You may include a
translation of this License, and all the license notices in the Document, and
any Warranty Disclaimers, provided that you also include the original English
version of this License and the original versions of those notices and
disclaimers. In case of a disagreement between the translation and the original
version of this License or a notice or disclaimer, the original version will
prevail.
If a section in the Document is Entitled “Acknowledgements”, “Dedications”, or
“History”, the requirement (section 4) to Preserve its Title (section 1) will
typically require changing the actual title.
9. TERMINATION
You may not copy, modify, sublicense, or distribute the Document except as
expressly provided for under this License. Any other attempt to copy, modify,
sublicense or distribute the Document is void, and will automatically terminate
your rights under this License. However, parties who have received copies, or
rights, from you under this License will not have their licenses terminated so
long as such parties remain in full compliance.
10. FUTURE REVISIONS OF THIS LICENSE
The Free Software Foundation may publish new, revised versions of the GNU Free
Documentation License from time to time. Such new versions will be similar in
spirit to the present version, but may differ in detail to address new problems
or concerns. See http://www.gnu.org/copyleft/.:
Each version of the License is given a distinguishing version number. If the
Document specifies that a particular numbered version of this License “or any
later version” applies to it, you have the option of following the terms and
conditions either of that specified version or of any later version that has
been published (not as a draft) by the Free Software Foundation. If the Document
does not specify a version number of this License, you may choose any version
ever published (not as a draft) by the Free Software Foundation. How to use this
License for your documents:
To use this License in a document you have written, include a copy of the
License in the document and put the following copyright and license notices just
after the title page:
Copyright (c) YEAR YOUR NAME.
Permission is granted to copy, distribute and/or modify this document
under the terms of the GNU Free Documentation License, Version 1.2
or any later version published by the Free Software Foundation;
with no Invariant Sections, no Front-Cover Texts, and no Back-Cover
Texts. A copy of the license is included in the section entitled "GNU
Free Documentation License".
If you have Invariant Sections, Front-Cover Texts and Back-Cover Texts, replace
the “with...Texts.” line with this:
with the Invariant Sections being LIST THEIR TITLES, with the
Front-Cover Texts being LIST, and with the Back-Cover Texts being LIST.
If you have Invariant Sections without Cover Texts, or some other combination of
the three, merge those two alternatives to suit the situation.
If your document contains nontrivial examples of program code, we recommend
releasing these examples in parallel under your choice of free software license,
such as the GNU General Public License, to permit their use in free software.