为了帮助你使用cachetools模块中的ttlcache装饰器来创建一个具有TTL(Time To Live)功能的缓存,我将分点回答你的问题,并附上相关代码片段。 1. 导入cachetools模块 首先,确保你已经安装了cachetools模块。如果还没有安装,可以通过以下命令进行安装: bash pip install cachetools 然后,在你的Python代码中导入ttlcache装饰...
from cachetools import cached, TTLCache @@ -7,12 +8,13 @@ from app.core.context import TorrentInfo, Context, MediaInfo from app.core.metainfo import MetaInfo from app.db import SessionFactory from app.db.site_oper import SiteOper from app.db.systemconfig_oper import SystemConfigOper...
from shutil import move, copy2 from signal import signal, alarm, SIGALRM, SIGKILL import yaml from cachetools import cached, TTLCache import wazuh.core.results as results import api.configuration from wazuh.core import common from wazuh.core.exception import WazuhError, WazuhInternalError from wazuh....
The following is a sample Python function that first checks if the user data is in the cache. If not, it queries the database and then stores the result in the cache for future use. import os, valkey, pymysql, boto3, json, hashlib import cachetools.func class...
The following is a sample Python function that first checks if the user data is in the cache. If not, it queries the database and then stores the result in the cache for future use. importos,valkey,pymysql,boto3,json,hashlibimportcachetools.funcclassDB:def__init_...
self._client_cache = Client.open(self.url, stac_io=stac_api_io) return self._client_cache @cached( # type: ignore TTLCache(maxsize=cache_config.maxsize, ttl=cache_config.ttl), Expand Down 0 comments on commit d702527 Please sign in to comment. Footer...