We sometime need to cache our server response to save time and bandwidth.
There are external libraries out there for caching like dictttl
The following is a python implementation without any 3rd party libs.
Wou can add one more parameter to your expensive function: ttl_hash=None. This new parameter is so-called “time sensitive hash”, its the only purpose is to affect lru_cache.
from functools import lru_cache
import time
@lru_cache()
def my_expensive_function(a, b, ttl_hash=None):
del ttl_hash # to emphasize we don't use it and to shut pylint up
return a + b # horrible CPU load...
def get_ttl_hash(seconds=3600):
"""Return the same value withing `seconds` time period"""
return round(time.time() / seconds)
# somewhere in your code...
res = my_expensive_function(2, 2, ttl_hash=get_ttl_hash())
# cache will be updated once in an hour
