Caching strategy trong Python API — Redis pattern?

import json
from functools import wraps

def cache(key_prefix: str, ttl: int = 300):
    def decorator(func):
        @wraps(func)
        async def wrapper(*args, **kwargs):
            key = f"{key_prefix}:{args}:{kwargs}"
            cached = await redis.get(key)
            if cached:
                return json.loads(cached)

            result = await func(*args, **kwargs)
            await redis.setex(key, ttl, json.dumps(result))
            return result
        return wrapper
    return decorator

@cache("products", ttl=60)
async def get_products():
    return await db.query_products()

async def get_user(user_id: int):
    cached = await redis.get(f"user:{user_id}")
    if cached:
        return json.loads(cached)

    user = await db.get_user(user_id)
    await redis.setex(f"user:{user_id}", 300, json.dumps(user))
    return user