def __setstate__(self, state):
if len(self._objects) < self._i[0]:
raise cPickle.PickleError("The workflow instance "
"inconsistent state, "
"too few objects")
self.log = logging.getLogger("workflow.%s" % self.__class__) # default logging
self.__dict__ = state
def __setstate__(self, state):
if len(self._objects) < self._i[0]:
raise cPickle.PickleError(
"The workflow instance inconsistent state, "
"too few objects")
self.__dict__ = state
self.add_log()
def __getstate__(self):
if not self._picklable_safe:
raise cPickle.PickleError("The instance of the workflow engine "
"cannot be serialized, "
"because it was constructed with "
"custom, user-supplied callbacks. "
"Either use PickableWorkflowEngine or "
"provide your own __getstate__ method.")
state = self.__dict__.copy()
del state['log']
return state
def _read_cache(self):
try:
f = open(self.file, 'r')
try:
data = pickle.load(f)
except Exception, e:
# Python simplicity in example : Pickle raise just one ... sorry,
# Pickle could raise more than 7 exceptions in case of bad input file...
# So we have to catch all of them and re-raise a single exception.
raise pickle.PickleError(e)
f.close()
mtime = os.stat(self.file).st_mtime
if (int(time.time()) - mtime > self.ttl):
log.debug("[PCH]", "EXPIRED", self.file)
raise InvalidCacheException("Cache expired")
else:
log.debug("[PCH]", "HIT", self.file)
return data
def __reduce__(self, *args, **kwargs):
raise cPickle.PickleError('Not pickleable.')
def __getstate__(self):
raise pickle.PickleError("Never pickle generator.runtime.Cache.")
