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Project description
red_cache
介绍
基于Redis实现的Python缓存工具
示例
安装方法
$ pip install red-cache
缓存函数执行结果
@redis_cache.pickle_cache(key=lambda v, t: "cache:{}:{}".format(v, t), ex=180)
def hell_world(val: str, times: int):
return val * times
保存JSON缓存数据
@redis_cache.json_cache(key=lambda v, t: "cache:{}:{}".format(v, t), ex=180)
def hell_world(val: str, times: int):
return {"val": val, "times": times}
缓存的属性
class Demo:
def load_xxx(self):
return
xxx = redis_cache.property(key=lambda: "Demo::xxx", ex=10)(lambda self: self.load_xxx())
删除缓存
@redis_cache.remove(lambda o: "auth::user:{}".format(o))
def modify_user(user_id):
# DO MODIFY USER
pass
使用返回值
@redis_cache.remove(lambda o: "auth::user:{}".format(o), by_return=True)
def modify_user(user_id):
# DO MODIFY USER
return "*********"
使用生成器
@redis_cache.remove(lambda o: "auth::user:{}".format(o), by_return=True)
def modify_users(users):
# modify users
for u in users:
yield u
基于Redis的分布式锁
@red_cache.red_lock(lambda uid, **kwargs: "red::lock:{}".format(uid), ttl=100000, retry_times=10, retry_delay=200)
def modify_user(uid: str, **kwargs):
# DO MODIFY USER
pass
临时令牌工具
import uuid
from red_cache import RedisCache, CachedToken
red_cache = RedisCache(dict(host='10.0.0.11', db=9))
# 声明 Token令牌类,集成CachedToken
class Token(CachedToken, metaclass=red_cache.token_meta):
# 使用metaclass时可自动注入RedisCache对象到当前类对象
# 使用类属性`red_cache`指定绑定的RedisCache亦可
def __init__(self, token: str, username: str):
super().__init__()
self.token = token
self.username = username
# 使用cache_key_prefix指定缓存名称前缀
cache_key_prefix = property(lambda self: self.__class__.__name__)
# id 即当前令牌对象唯一值
@property
def id(self):
return self.token
# 返回字典,CachedToken使用标准库的json包序列化该字典作为对应缓存的值
def marshal(self) -> dict:
return dict(token=self.token, username=self.username)
@classmethod
def new(cls, username: str):
return cls(token=uuid.uuid1().hex, username=username)
if __name__ == '__main__':
tk = Token.new('/**/').save()
# 使用ID读取令牌
tk = Token.read(tk.token)
# 刷新,即强制写入令牌到Redis
tk.flush()
# 删除令牌
tk.remove()
计数器工具
from red_cache import RedisCache
red_cache = RedisCache(dict(host='10.0.0.11'))
class A:
# 自增计数器
counter = red_cache.counter("resource::a", 3,init=lambda:20*20)
# 自减计数器
desc = red_cache.counter("resource:desc", -2)
# 基于HASH的自增计数器
score = red_cache.hash_counter("score", "a", 1,init=lambda:20+1)
def __init__(self):
self._sign = red_cache.counter("{}::sign:{}".format(self.__class__.__name__, id(self)))
# 使用属性
sign = property(lambda self: self._sign.get())
@author:Memory_Leak
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