This is just an example, but given the following model:
class Foo(models.model):
bar = models.IntegerField()
def __str__(self):
return str(self.bar)
def __unicode__(self):
return str(self.bar)
And the following QuerySet
object:
foobar = Foo.objects.filter(bar__lt=20).distinct()
(meaning, a set of unique Foo
models with bar <= 20
), how can I generate all possible subsets of foobar
? Ideally, I'd like to further limit the subsets so that, for each subset x
of foobar
, the sum of all f.bar
in x
(where f
is a model of type Foo
) is between some maximum and minimum value.
So, for example, given the following instance of foobar
:
>> print foobar
[<Foo: 5>, <Foo: 10>, <Foo: 15>]
And min=5
, max=25
, I'd like to build an object (preferably a QuerySet
, but possibly a list) that looks like this:
[[<Foo: 5>], [<Foo: 10>], [<Foo: 15>], [<Foo: 5>, <Foo: 10>],
[<Foo: 5>, <Foo: 15>], [<Foo: 10>, <Foo: 15>]]
I've experimented with itertools
but it doesn't seem particularly well-suited to my needs.
I think this could be accomplished with a complex QuerySet
but I'm not sure how to start.