So, here is my version, using the cache backend:

from datetime import timedelta, datetime
from django.core.cache import cache
from django.contrib.sites.models import Site

ONLINE_MINUTES = 10
CACHE_KEY = '%s_online_user_ids' % Site.objects.get_current().domain

_last_purged = datetime.now()

def get_online_user_ids():
    user_dict = cache.get(CACHE_KEY)
    return hasattr(user_dict, 'keys') and user_dict.keys() or []

class OnlineUsers(object):
    def process_request(self, request):
        if request.user.is_anonymous():
            return

        user_dict = cache.get(CACHE_KEY)
        if not user_dict:
            # initialization
            user_dict = {}

        now = datetime.now()
        user_dict[request.user.id] = now

        # purge
        global _last_purged
        if _last_purged + timedelta(minutes=ONLINE_MINUTES) < now:
            purge_older_than = now - timedelta(minutes=ONLINE_MINUTES)
            for user_id, last_seen in user_dict.items():
                if last_seen < purge_older_than:
                    del(user_dict[user_id])
            _last_purged = now

        cache.set(CACHE_KEY, user_dict, 60*60*24)


This stores a dictionary in the form: {user_id: last_seen_time, ...}
in the cache and updates the cache once for every request by an
authenticated user.

An alternative would be to store a structure like Jeremy's,
{minute_seen: set(user_id, ...), ...} which I think will result in
nearly the same amount of cache hits on average.

I would like to hear your comments.




On 3 Ekim, 16:09, "Marty Alchin" <[EMAIL PROTECTED]> wrote:
> On 10/3/07, omat <[EMAIL PROTECTED]> wrote:
>
> > I used it for some time and observed some inconsistencies. I think
> > this is because the code is not thread-safe.
>
> > Do you know a thread safe way of applying this approach?
>
> Well, "thread-safe" is a confusing term for something like this, but
> you're right that it has to do with the operating environment. I had
> similar problems with an application of mine, when I used a
> module-level dictionary to store a cache that would be updated. What I
> ended up having to do is using Django's cache framework, which will
> work fine in multi-process setups, as long as you don't use the
> "simple" or "local" cache backends.
>
> Don't let the local backend's claim of being multi-process thread-safe
> fool you. What that means is that multiple threads and processes won't
> interact with each other, which is the usual definition of the term.
> But since you actually do want multiple threads and processes to share
> that information, its multi-process/thread-safety is actually a
> problem. That's why I said it's a confusing term for this situation.
> If you use the file, db or memcached backends, you should be fine.
>
> -Gul


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