I want to use unique hashes for each model rather than ids.
I implemented the following function to use it across the board easily.
import random,hashlib
I do not like this bit:
uuid = uuid[:5]
In the best scenario (uuid are uniformly distributed) you will get a collision with probability greater than 0.5 after 1k of elements!
It is because of the birthday problem. In a brief it is proven that the probability of collision exceeds 0.5 when number of elements is larger than square root from number of possible labels.
You have 0xFFFFF=10^6 labels (different numbers) so after a 1000 of generated values you will start having collisions.
Even if you enlarge length to -1 you have still problem here:
str(random.random())[2:]
You will start having collisions after 3 * 10^6 (the same calculations follows).
I think your best bet is to use uuid that is more likely to be unique, here is an example
>>> import uuid
>>> uuid.uuid1().hex
'7e0e52d0386411df81ce001b631bdd31'
Update If you do not trust math just run the following sample to see the collision:
>>> len(set(hashlib.sha256(str(i)).hexdigest()[:5] for i in range(0,2000)))
1999 # it should obviously print 2000 if there wasn't any collision