I have a function on my Django app where I perform some Queryset actions and set it\'s result to Memcache. Since it is a function it has to be of general usage. So in order
Based on @Moses Koledoye's answer I could solve the issue. This is how my function looks like now:
cached_query(key, model, my_filter=None, or_filter={}, exclude=None, order_by=None, sliced=50):
"""
:param key: string used as key reference to store on Memcached
:param model: model reference on which 'filter' will be called
:param my_filter: dictionary containing the filter parameters (eg.: {'title': 'foo', 'category': 'bar'}
:param or_filter: dictionary containing the filter parameters (eg.: {'title': 'foo', 'category': 'bar'}
:param sliced: integer limit of results from the query. The lower the better, since for some reason Django Memcached
won't store thousands of entries in memory
:param exclude: dictionary containing the exclude parameters (eg.: {'title': 'foo', 'category': 'bar'}
:param order_by: tuple containing the list of fields upon which the model will be ordered.
:return: list of models. Not a QuerySet, since it was sliced.
"""
result = cache.get(key, None)
if not result:
result = model.objects.all()
if my_filter:
result = model.objects.filter(**my_filter)
if or_filter:
reduced_filter = reduce(operator.or_, (Q(**d) for d in [dict([i]) for i in or_filter.items()]))
result = result.filter(reduced_filter)
if exclude:
result = result.exclude(**exclude)
if order_by:
result = result.order_by(*order_by)
result = result[:sliced]
cache.set(key, result, cache_timeout)
return result