this to perform maintenance tasks on themselves. Having a
dedicated actor for this gives us the opportunity to control the
flow of requests; e.g., by backing off when errors occur.
-
- This actor is most like a "traditional" Pykka actor: there's no
- subscribing, but instead methods return real driver results. If
- you're interested in those results, you should get them from the
- Future that the proxy method returns. Be prepared to handle exceptions
- from the cloud driver when you do.
"""
def __init__(self, cloud_factory, max_retry_wait=180):
super(ComputeNodeUpdateActor, self).__init__()
self.error_streak = 0
self.next_request_time = time.time()
+ def _set_logger(self):
+ self._logger = logging.getLogger("%s.%s" % (self.__class__.__name__, self.actor_urn[33:]))
+
+ def on_start(self):
+ self._set_logger()
+
def _throttle_errors(orig_func):
@functools.wraps(orig_func)
def throttle_wrapper(self, *args, **kwargs):
try:
result = orig_func(self, *args, **kwargs)
except Exception as error:
- self.error_streak += 1
- self.next_request_time += min(2 ** self.error_streak,
- self.max_retry_wait)
- raise
+ if self._cloud.is_cloud_exception(error):
+ self.error_streak += 1
+ self.next_request_time += min(2 ** self.error_streak,
+ self.max_retry_wait)
+ self._logger.warn(
+ "Unhandled exception: %s", error, exc_info=error)
else:
self.error_streak = 0
return result