cacheable_decorator_quickstart_with_dictionary_backend.py

1import time
2from cacheable import Cacheable
3
4# Initialize the cacheable with a storage back-end (e.g., a dictionary for local testing)
5class LocalCache(Cacheable):
6    def __init__(self):
7        self._cache = {}
8
9    def get(self, key):
10        return self._cache.get(key)
11
12    def set(self, key, value):
13        self._cache[key] = value
14
15cache = LocalCache()
16
17@cache.cacheable
18def expensive_function(arg1, arg2):
19    print(f"Executing expensive function with {arg1} and {arg2}...")
20    time.sleep(2)  # Simulate a time-consuming task
21    return f"Result of {arg1} and {arg2}"
22
23# First call: executes the function and caches the result
24print(expensive_function("data1", "data2"))
25
26# Second call: returns the cached result immediately
27print(expensive_function("data1", "data2"))