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.
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.
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 defaulttext/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 theHttpResponse
as a dictionary and set a key/value.Hooking into the CSV-generation API is easy: just pass
response
as the first argument tocsv.writer
. Thecsv.writer
function expects a file-like object, andHttpResponse
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.
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.
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:
>>> import reportlab
If that command doesn't raise any errors, the installation worked.
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 tocanvas.Canvas
. TheCanvas
class expects a file-like object, andHttpResponse
objects fit the bill. - All subsequent PDF-generation methods are called on the PDF
object (in this case,
p
), not onresponse
. - Finally, it's important to call
showPage()
andsave()
on the PDF file -- or else, you'll end up with a corrupted PDF file.
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
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'starfile
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.
Django comes with a high-level syndication-feed-generating framework that makes creating RSS and Atom feeds easy.
What's RSS? What's Atom?
RSS and Atom are both XML-based formats you can use to provide automatically updating "feeds" of your site's content. Read more about RSS at http://www.whatisrss.com/, and get information on Atom at http://www.atomenabled.org/.
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.
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 atfeeds/latest/
. - The feed represented by
LatestEntriesByCategory
will live atfeeds/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.
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
, anddescription
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 returnsEntry
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 calledfeeds/latest_title.html
andfeeds/latest_description.html
, wherelatest
is theslug
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 initems()
).site
: Adjango.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
anddescription_template
as attributes of yourFeed
class.To specify the contents of
<link>
, you have two options. For each item initems()
, Django first tries executing aget_absolute_url()
method on that object. If that method doesn't exist, it tries calling a methoditem_link()
in theFeed
class, passing it a single parameter,item
, which is the object itself.Both
get_absolute_url()
anditem_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:{{ obj.title }}
and
latest_description.html
contains:{{ obj.description }}
It's almost too easy...
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 theFeed
class'sget_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 givenTag
object, from the givenbits
.In this case, it uses the Django database API to retrieve the
Tag
. Note thatget_object()
should raisedjango.core.exceptions.ObjectDoesNotExist
if given invalid parameters. There's notry
/except
around theTag.objects.get()
call, because it's not necessary. That function raisesTag.DoesNotExist
on failure, andTag.DoesNotExist
is a subclass ofObjectDoesNotExist
. RaisingObjectDoesNotExist
inget_object()
tells Django to produce a 404 error for that request.To generate the feed's
<title>
,<link>
, and<description>
, Django uses thetitle()
,link()
, anddescription()
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 oftitle
,link
, anddescription
, Django follows this algorithm:- It tries to call a method, passing the
obj
argument, whereobj
is the object returned byget_object()
. - Failing that, it tries to call a method with no arguments.
- Failing that, it uses the class attribute.
- It tries to call a method, passing the
Finally, note that
items()
in this example also takes theobj
argument. The algorithm foritems
is the same as described in the previous step -- first, it triesitems(obj)
, thenitems()
, and then finally anitems
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/).
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.
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 |
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.
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.
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.
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>.*)/$', 'django.contrib.syndication.views.feed', {'feed_dict': feeds}), # ... )
A sitemap is an XML file on your Web site that tells search engine indexers how frequently your pages change and how "important" certain pages are in relation to other pages on your site. This information helps search engines index your site.
For example, here's a piece of the sitemap for Django's Web site (http://www.djangoproject.com/sitemap.xml):
<?xml version="1.0" encoding="UTF-8"?> <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"> <url> <loc>http://www.djangoproject.com/documentation/</loc> <changefreq>weekly</changefreq> <priority>0.5</priority> </url> <url> <loc>http://www.djangoproject.com/documentation/0_90/</loc> <changefreq>never</changefreq> <priority>0.1</priority> </url> ... </urlset>
For more on sitemaps, see http://www.sitemaps.org/.
The Django sitemap framework automates the creation of this XML file by
letting you express this information in Python code. To create a sitemap,
you just need to write a Sitemap
class and point to it in your URLconf.
To install the sitemap application, follow these steps:
- Add
'django.contrib.sitemaps'
to yourINSTALLED_APPS
setting. - Make sure
'django.template.loaders.app_directories.load_template_source'
is in yourTEMPLATE_LOADERS
setting. It's in there by default, so you'll need to change this only if you've changed that setting. - Make sure you've installed the sites framework (see Chapter 16).
Note
The sitemap application doesn't install any database tables. The only
reason it needs to go into INSTALLED_APPS
is so the
load_template_source
template loader can find the default templates.
To activate sitemap generation on your Django site, add this line to your URLconf:
(r'^sitemap\.xml$', '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)
).
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 thelocation()
,lastmod()
,changefreq()
, andpriority()
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 theget_absolute_url()
method on each object as returned byitems()
.- Good:
lastmod
(optional): The object's "last modification" date, as a Pythondatetime
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 between0.0
and1.0
. The default priority of a page is0.5
; see the http://sitemaps.org/ documentation for more about howpriority
works.
The sitemap framework provides a couple convenience classes for common cases. These are described in the sections that follow.
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.
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$', 'django.contrib.sitemaps.views.sitemap', {'sitemaps': sitemaps}) )
The sitemap framework also has the ability to create a sitemap index that
references individual sitemap files, one per each section defined in your
sitemaps
dictionary. The only differences in usage are as follows:
- You use two views in your URLconf:
django.contrib.sitemaps.views.index
anddjango.contrib.sitemaps.views.sitemap
. - The
django.contrib.sitemaps.views.sitemap
view should take asection
keyword argument.
Here is what the relevant URLconf lines would look like for the previous example:
(r'^sitemap.xml$', '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.
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
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.