77 lines
2.0 KiB
Python
77 lines
2.0 KiB
Python
# -*- coding: utf-8 -*-
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# @Author : relakkes@gmail.com
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# @Name : 程序员阿江-Relakkes
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# @Time : 2024/5/29 22:57
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# @Desc : RedisCache实现
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import pickle
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import time
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from typing import Any, List
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from redis import Redis
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from cache.abs_cache import AbstractCache
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from config import db_config
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class RedisCache(AbstractCache):
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def __init__(self) -> None:
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# 连接redis, 返回redis客户端
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self._redis_client = self._connet_redis()
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@staticmethod
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def _connet_redis() -> Redis:
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"""
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连接redis, 返回redis客户端, 这里按需配置redis连接信息
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:return:
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"""
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return Redis(
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host=db_config.REDIS_DB_HOST,
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port=db_config.REDIS_DB_PORT,
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db=db_config.REDIS_DB_NUM,
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password=db_config.REDIS_DB_PWD,
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)
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def get(self, key: str) -> Any:
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"""
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从缓存中获取键的值, 并且反序列化
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:param key:
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:return:
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"""
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value = self._redis_client.get(key)
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if value is None:
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return None
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return pickle.loads(value)
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def set(self, key: str, value: Any, expire_time: int) -> None:
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"""
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将键的值设置到缓存中, 并且序列化
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:param key:
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:param value:
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:param expire_time:
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:return:
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"""
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self._redis_client.set(key, pickle.dumps(value), ex=expire_time)
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def keys(self, pattern: str) -> List[str]:
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"""
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获取所有符合pattern的key
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"""
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return [key.decode() for key in self._redis_client.keys(pattern)]
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if __name__ == '__main__':
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redis_cache = RedisCache()
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# basic usage
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redis_cache.set("name", "程序员阿江-Relakkes", 1)
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print(redis_cache.get("name")) # Relakkes
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print(redis_cache.keys("*")) # ['name']
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time.sleep(2)
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print(redis_cache.get("name")) # None
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# special python type usage
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# list
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redis_cache.set("list", [1, 2, 3], 10)
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_value = redis_cache.get("list")
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print(_value, f"value type:{type(_value)}") # [1, 2, 3]
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