Python 使用带生成器函数的Flask缓存
我正在尝试使用Flask缓存缓存生成器函数。烧瓶缓存需要酸洗,由于发电机无法酸洗,这是一个问题。使用带烧瓶缓存的生成器有什么解决方法吗?如果要缓存结果,只需在生成器上调用Python 使用带生成器函数的Flask缓存,python,flask,Python,Flask,我正在尝试使用Flask缓存缓存生成器函数。烧瓶缓存需要酸洗,由于发电机无法酸洗,这是一个问题。使用带烧瓶缓存的生成器有什么解决方法吗?如果要缓存结果,只需在生成器上调用列表,并将其存储即可。如果结果太大,无法安全地存储在内存中(即使是临时存储),则将结果包装在类实例中,该类实例可以: # Warning: This is terribly tightly bound together # There are better ways to do this - this is just by wa
列表
,并将其存储即可。如果结果太大,无法安全地存储在内存中(即使是临时存储),则将结果包装在类实例中,该类实例可以:
# Warning: This is terribly tightly bound together
# There are better ways to do this - this is just by way of example
def some_generator(identifier):
"""This could be anything
* A database wrapper
* A permutation generator
* Something that streams (and transforms) data from disk
* The possibilities are endless"""
if identifier == "result_set_1":
results = [(x, y) for x in range(10) for y in range(x)]
elif identifier == "result_set_2":
results = [(x, 0) for x in range(20)]
else:
results = [(1, 2), (3, 4)]
for row in results:
yield row
class GeneratorWrapper(object):
"""
Use::
@cache
some_function(identifier):
return GeneratorWrapper(identifier)
"""
def __init__(self, identifier=None):
self.identifier = identifier
if identifier is not None:
self.data = some_generator(identifier)
def __getstate__(self):
"""When pickled return the key to rebuilding the generator"""
return self.identifier
def __setstate__(self, state):
"""When unpickled, restore the generator using the pickled key"""
self.identifier = state
if state is not None:
self.data = some_generator(state)
def __iter__(self):
return self.data