越来越觉得的缓存是计算机科学里最NB的发明(没有之一),本文就来介绍了一下在Python中使用AOP实现Redis缓存示例,小伙伴们一起来了解一下

import redis
enable=True
#enable=False
def readRedis(key):
  if enable:
    r = redis.Redis(host='10.224.38.31', port=8690,db=0, password='xxxx')
    val = r.get(key)
    if val is None:
      print "can not find data for KEY:%s \n" % (key)
      return None
    else:
      print "====Get VALUE from Redis by KEY:%s \n" % ( key)
      return pickle.loads(val)
  else:
    print "disable cache"

def writeRedis(key, val):
  r = redis.Redis(host='10.224.38.31', port=8690,db=0, password='xxxx')
  if val is None:
    print "Val is None, don't save it to redis \n"
  else:
    r.set(key, pickle.dumps(val) )
    r.expire(key, 60*60*24*7) #1week
    print "====Write value of KEY:%s to redis \n" % (key)

import pickle, functools
def cache(f):
 def wrapper(*args, **kwargs):
  key = pickle.dumps((f.__name__, args, kwargs)).replace("\n","")
  val = readRedis(key)
  if val is None:
   val = f(*args, **kwargs) # call the wrapped function, save in cache
   writeRedis(key, val)
  return val # read value from cache
 functools.update_wrapper(wrapper, f) # update wrapper's metadata
 return wrapper

@cache
def foo(n):
 return n*2

foo(10) # first call with parameter 10, sleeps
foo(10) # returns immediately
foo(15) # returns immediately
foo(19) # returns immediately 

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持脚本之家。

01-30 15:45
查看更多