asyncache

import asyncio from asyncache import cached from cachetools import TTLCache # A simple async function that simulates an expensive operation async def fetch_user_data(user_id: int) -> dict: print(f"Fetching data for user {user_id} from database...") await asyncio.sleep(1) # Simulate I/O delay return {"id": user_id, "name": f"User {user_id} Name"} # Cache the results of the async function using TTLCache from cachetools # The cache will hold up to 1024 items, with each entry expiring after 60 seconds. @cached(TTLCache(maxsize=1024, ttl=60)) async def get_user_cached(user_id: int) -> dict: return await fetch_user_data(user_id) async def main(): print("--- First call (cache miss) ---") user1 = await get_user_cached(1) print(f"Result: {user1}\n") print("--- Second call (cache hit) ---") user1_cached = await get_user_cached(1) print(f"Result: {user1_cached}\n") print("--- Third call with different ID (cache miss) ---") user2 = await get_user_cached(2) print(f"Result: {user2}\n") print("--- Waiting for TTL to expire (will force a re-fetch) ---") await asyncio.sleep(61) # Wait for cache entry to expire print("--- Fourth call (cache miss after TTL) ---") user1_after_ttl = await get_user_cached(1) print(f"Result: {user1_after_ttl}\n") if __name__ == "__main__": asyncio.run(main())