Caching from serialized file example

cachepy_example.py

# pip3 install cachepy
# https://github.com/scidam/cachepy

import time # used to simulate heavy CPU penalty

from cachepy import FileCache
from os.path import expanduser
from os import environ
import warnings

if not environ.get('SHOW_CACHEPY_WARNINGS'):
    warnings.filterwarnings('ignore', module='cachepy')

cache = FileCache(expanduser('~/.logdnactl.es_account_percentages.cache.db'),
                      noc=10, # number of function calls before the cache is busted
                      ttl=30, # ttl in seconds before cache is busted
                     )

@cache
def es_account_percentages(x):
    '''Performs heavy computations'''
    print(f'--- Calculating heavy computation with argvalue {x}')
    time.sleep(5)
    return x**2


print('Just calling print(my_heavy_function(1))')
print(es_account_percentages(22))

print('Just calling print(my_heavy_function(5))')
print(es_account_percentages(5))

print('Just calling print(my_heavy_function(1))')
print(es_account_percentages(22))

print('Just calling print(my_heavy_function(1))')
print(es_account_percentages(22))

print('Just calling print(my_heavy_function(5))')
print(es_account_percentages(5))