越來越覺得的緩存是計算機科學里最NB的發明(沒有之一),本文就來介紹了一下在Python中使用AOP實現Redis緩存示例，小伙伴們一起來了解一下

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 

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