A method similar to what Anssi describes is what we use for local
caching of data that is too large to comfortably fetch from cache/
parse from file every time we need it. A Doing a lazy fetch with a
maximum age like that also helps with load times since it is only
fetched when accessed. Of course the fetch needs to be reasonably
possible with the time frame of a single request in order to not
frustrate users.
# Put this class somewhere and import into your settings.py
import datetime
import urllib2
class LazyFetch(object):
def __init__(self,url,max_age=60*60):
self.url=url
self.reload_delta=datetime.timedelta(seconds=max_age)
def _get_content(self):
last_updated=getattr(self,'_last_updated',None)
if not last_updated or datetime.datetime.now()-last_updated >
self.reload_delta:
self._content=urllib2.urlopen(self.url).read()
self._age=datetime.datetime.now()
return self._content
content=property(_get_content)
somepage=LazyFetch("http://www.example.com",30)
then elsewhere in your code you can import settings and access the
page content
current_content=settings.somepage.content
Accessing the property "content" would call get_content() which checks
to see if the content hasn't been loaded, or expired.. and reloads on
demand. This is just a barebones example though, you'd want to throw
in some exception handing to the urlopen call at the very least.
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