def cache_decorator(expire_time=300): def decorator(func): @wraps(func) def wrapper(*args, **kwargs): # 生成缓存key cache_key = f"{func.__name__}:{str(args)}:{str(kwargs)}" redis_client = RedisClient().redis # 尝试从缓存获取 cached_result = redis_client.get(cache_key) if c...
然后就是在stackoverflow找了一个: (来源:https://stackoverflow.com/questions/11815873/memoization-library-for-python-2-7) 1importtime2importfunctools3importcollections45deflru_cache(maxsize = 255, timeout =None):6"""lru_cache(maxsize = 255, timeout = None) --> returns a decorator which ret...
Python:缓存库mo-cache支持内存、文件、Redis Mo-Cache Github:https:///mouday/Mo-Cache a simple cache lib support memory、file、redis install pip install mo-cache 1. demo from mo_cache import cache_decorator cache = cache_decorator('memory')...
from mo_cache import cache_decorator cache = cache_decorator('memory') @cache def foo(a, b): return a + b if __name__ == '__main__': foo()文章标签: 云数据库 Tair(兼容 Redis) Python NoSQL Redis 缓存 关键词: 内存缓存 Python文件 云数据库 Tair(兼容 Redis)内存 云数据库 Tair(...
RedisCache.pool=redis.ConnectionPool( host=RedisDBConfig.HOST, port=RedisDBConfig.PORT, db=RedisDBConfig.DBID) @operator_statusdefset_data(self, key, value):'''set data with (key, value)'''returnself._connection.set(key, value) @operator...
def cache_function(redis_conn, expire_time=3600): def decorator(func): @functools.wraps(func) def wrapper(*args, **kwargs): # 序列化函数参数 key = serialize_args(args) # 查看缓存是否存在 result_str = redis_conn.get(key) if result_str is not None: ...
Cacheme A memoize/cache decorator for Python using Redis.# cache @cacheme(key=lambda c: f'book:{c.book.id}') def get_book_info(self, book): return some_function(book) # invalidation book_id = 123 cacheme.create_invalidation(key=f'book:{book_id}')...
# Create the redis cachecache=RedisCache(redis_client,prefix="rc",serializer=dumps,deserializer=loads,key_serializer=None,support_cluster=True,exception_handler=None)# Cache decorator to go on functions, see abovecache.cache(ttl=...,limit=...,namespace=...)->Callable[[Callable],Callable]# Ge...
wrapperreturndecorator 这里我们基本上按照之前说的逻辑来做的,以后我们取数据的方法,只需要在方法前面+上cache装饰器,即可自动跟redis打通。(有缓存则取缓存数据,无则取真实数据) 编写配置文件获取方法 我们编写configuration.json到根目录: 这里放邮件信息,还有未来要规划的yapi信息...
python from functools import wraps from typing import Any, Callable, Coroutine, Dict, TypeVar F = TypeVar("F", bound=Callable[..., Coroutine[Any, Any, Dict]]) async def cache(redis_pool: aioredis.ConnectionsPool, key_prefix: str, expire: int = 3600) -> Callable[[F], F]: def ...