2015-06-09 88 views
13

我怎樣才能讓@functools.lru_cache decorator忽略一些關於緩存鍵的函數參數?讓@lru_cache忽略一些函數參數

例如,我有一個功能,看起來像這樣:

def find_object(db_handle, query): 
    # (omitted code) 
    return result 

如果我申請lru_cache裝飾就這樣,db_handle將包括在緩存鍵。因此,如果我嘗試使用相同的query而不是db_handle調用該函數,它將再次執行,這是我想避免的。我只想lru_cache僅考慮query參數。

回答

8

隨着cachetools你可以寫:

from cachetools import cached, hashkey 
from random import randint 

@cached(cache={}, key=lambda db_handle, query: hashkey(query)) 
def find_object(db_handle, query): 
    print("processing {0}".format(query)) 
    return query 

queries = list(range(5)) 
queries.extend(range(5)) 
for q in queries: 
    print("result: {0}".format(find_object(randint(0, 1000), q))) 
1

我至少有一個非常醜陋的解決方案。將db_handle包裝在始終等於的對象中,並將其解包到函數中。

它需要一個有很多輔助函數的裝飾器,這使得堆棧跟蹤相當混亂。

class _Equals(object): 
    def __init__(self, o): 
     self.obj = o 

    def __eq__(self, other): 
     return True 

    def __hash__(self): 
     return 0 

def lru_cache_ignoring_first_argument(*args, **kwargs): 
    lru_decorator = functools.lru_cache(*args, **kwargs) 

    def decorator(f): 
     @lru_decorator 
     def helper(arg1, *args, **kwargs): 
      arg1 = arg1.obj 
      return f(arg1, *args, **kwargs) 

     @functools.wraps(f) 
     def function(arg1, *args, **kwargs): 
      arg1 = _Equals(arg1) 
      return helper(arg1, *args, **kwargs) 

     return function 

    return decorator