Please see original snippet for commentary, all I did was add the caching of the arguments.
http://www.djangosnippets.org/snippets/109/
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | import cPickle as pickle
import md5
def cache_function(length):
"""
A variant of the snippet posted by Jeff Wheeler at
http://www.djangosnippets.org/snippets/109/
Caches a function, using the function and its arguments as the key, and the return
value as the value saved. It passes all arguments on to the function, as
it should.
The decorator itself takes a length argument, which is the number of
seconds the cache will keep the result around.
It will put in a MethodNotFinishedError in the cache while the function is
processing. This should not matter in most cases, but if the app is using
threads, you won't be able to get the previous value, and will need to
wait until the function finishes. If this is not desired behavior, you can
remove the first two lines after the ``else``.
"""
def decorator(func):
def inner_func(*args, **kwargs):
from django.core.cache import cache
raw = [func.__name__, func.__module__, args, kwargs]
pickled = pickle.dumps(raw, protocol=pickle.HIGHEST_PROTOCOL)
key = md5.new(pickled).hexdigest()
value = cache.get(key)
if cache.has_key(key):
return value
else:
# This will set a temporary value while ``func`` is being
# processed. When using threads, this is vital, as otherwise
# the function can be called several times before it finishes
# and is put into the cache.
class MethodNotFinishedError(Exception): pass
cache.set(key, MethodNotFinishedError(
'The function %s has not finished processing yet. This \
value will be replaced when it finishes.' % (func.__name__)
), length)
result = func(*args, **kwargs)
cache.set(key, result, length)
return result
return inner_func
return decorator
|
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Comments
suggesting a try-except block around:
like such:
To allow for fallback on pickle when cPickle is not accessible.
#
I am getting an error when I use this...
Can't pickle : attribute lookup django_snippet_cache_function.MethodNotFinishedError failed
Thanks...
#
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