建立函数及其参数的结果缓存
from functools import wraps
import time
class CacheManager:
def __init__(self):
self._cache = {}
def get_cache_obj(self, key):
"""获取缓存对象"""
return self._cache.get(key)
def add_cache_obj(self, key, obj):
"""添加缓存对象"""
self._cache[key] = obj
return obj
def __del__(self):
"""清除所有缓存对象"""
# print(f"CacheManager del")
for k, v in self._cache.items():
# print(f"CacheManager del:{k=}")
del v
self._cache.clear()
del self._cache
@classmethod
def cache_result(cls, func):
"""
装饰器:缓存结果,支持参数作为缓存的唯一键。
"""
@wraps(func)
def wrapper(instance, *args, **kwargs):
# 根据函数名和参数构建唯一缓存键
key = f"{func.__name__}:{args}:{kwargs}"
print(key)
# 检查是否已缓存
cache_obj = instance.cache_manager.get_cache_obj(key)
if cache_obj is not None:
print(cache_obj)
return cache_obj
# 缓存中没有对象,执行函数并缓存结果
result = func(instance, *args, **kwargs)
instance.cache_manager.add_cache_obj(key, result)
print(result)
return result
return wrapper
class MyClass:
def __init__(self):
self.cache_manager = CacheManager()
def __del__(self):
print("MyClass.__del__")
@property
@CacheManager.cache_result
def oms_user(self):
# 该代码只在缓存不存在时执行
# return [1, 2, 3]
return time.time()
def test_cache():
m = MyClass()
print(id(m.oms_user))
print(id(m.oms_user))
test_cache()
结果
oms_user:():{}
1732000987.240014
2584475181488
oms_user:():{}
1732000987.240014
2584475181488
MyClass.__del__
创建于2411191534,修改于2411191534