pip install cachetools

from cachetools import LRUCache, cached
# 創(chuàng)建一個(gè)最大容量為100的LRU緩存
@cached(cache=LRUCache(maxsize=100))
def fibonacci(n):
    if n < 2:
        return n
    return fibonacci(n-1) + fibonacci(n-2)
# 使用緩存的函數(shù)
print(fibonacci(100))

from cachetools import TTLCache, cached
import time
# 創(chuàng)建一個(gè)最大容量為100,過(guò)期時(shí)間為10秒的TTL緩存
cache = TTLCache(maxsize=100, ttl=10)
@cached(cache)
def get_data():
    print("Fetching data...")
    return "Data"
# 第一次調(diào)用,會(huì)打印"Fetching data..."
print(get_data())
# 立即再次調(diào)用,使用緩存,不會(huì)打印"Fetching data..."
print(get_data())
# 等待11秒后調(diào)用,緩存已過(guò)期,會(huì)再次打印"Fetching data..."
time.sleep(11)
print(get_data())

from cachetools import LFUCache
# 創(chuàng)建一個(gè)最大容量為100的LFU緩存
cache = LFUCache(maxsize=100)
# 添加項(xiàng)目到緩存
cache['key1'] = 'value1'
cache['key2'] = 'value2'
# 訪問(wèn)緩存
print(cache['key1'])
# 當(dāng)緩存滿時(shí),最不常用的項(xiàng)目會(huì)被移除

from cachetools import cached, TTLCache
import time
# 使用TTL緩存裝飾器
@cached(cache=TTLCache(maxsize=100, ttl=30))
def get_weather(city):
    print(f"Fetching weather for {city}")
    # 模擬API調(diào)用
    time.sleep(2)
    return f"Sunny in {city}"
# 第一次調(diào)用,會(huì)打印"Fetching weather..."
print(get_weather("Beijing"))
# 立即再次調(diào)用,使用緩存結(jié)果
print(get_weather("Beijing"))
# 不同參數(shù)調(diào)用,不會(huì)使用緩存
print(get_weather("Shanghai"))

from cachetools import cached, LRUCache
def make_key(func, *args, **kwargs):
    # 自定義鍵生成邏輯
    return str(args) + str(kwargs)
@cached(cache=LRUCache(maxsize=100), key=make_key)
def my_function(arg1, arg2):
    return arg1 + arg2
print(my_function(1, 2))
print(my_function(1, 2))  # 使用緩存

from cachetools import LRUCache
cache = LRUCache(maxsize=100)
# 添加一些項(xiàng)目
for i in range(150):
    cache[i] = i * i
print(f"緩存大小: {len(cache)}")
print(f"緩存命中次數(shù): {cache.hits}")
print(f"緩存未命中次數(shù): {cache.misses}")