def deferred_ratings():
""" This is the deferred ratings table calculation process """
# Disable the in-context cache to save memory
# (it doesn't give any speed advantage for this processing)
Context.disable_cache()
t0 = time.time()
try:
_create_ratings()
except DeadlineExceededError as ex:
# Hit deadline: save the stuff we already have and
# defer a new task to continue where we left off
logging.error(u"Deadline exceeded in ratings, failing permamently")
# Normal return prevents this task from being run again
raise deferred.PermanentTaskFailure()
except Exception as ex:
logging.error(u"Exception in ratings, failing permanently: {0}".format(ex))
# Avoid having the task retried
raise deferred.PermanentTaskFailure()
t1 = time.time()
logging.info(u"Ratings calculation finished in {0:.2f} seconds".format(t1 - t0))
StatsModel.log_cache_stats()
StatsModel.clear_cache() # Do not maintain the cache in memory between runs
def deferred_ratings():
""" This is the deferred ratings table calculation process """
# Disable the in-context cache to save memory
# (it doesn't give any speed advantage for this processing)
Context.disable_cache()
t0 = time.time()
try:
_create_ratings()
except DeadlineExceededError as ex:
# Hit deadline: save the stuff we already have and
# defer a new task to continue where we left off
logging.error(u"Deadline exceeded in ratings, failing permamently")
# Normal return prevents this task from being run again
raise deferred.PermanentTaskFailure()
except Exception as ex:
logging.error(
u"Exception in ratings, failing permanently: {0}".format(ex))
# Avoid having the task retried
raise deferred.PermanentTaskFailure()
t1 = time.time()
logging.info(u"Ratings calculation finished in {0:.2f} seconds".format(t1 -
t0))
StatsModel.log_cache_stats()
StatsModel.clear_cache(
) # Do not maintain the cache in memory between runs
def deferred_ratings():
""" This is the deferred ratings table calculation process """
with Client.get_context() as context:
t0 = time.time()
try:
_create_ratings()
except Exception as ex:
logging.error("Exception in deferred_ratings: {0!r}".format(ex))
return
t1 = time.time()
StatsModel.log_cache_stats()
# Do not maintain the cache in memory between runs
StatsModel.clear_cache()
logging.info(
"Ratings calculation finished in {0:.2f} seconds".format(t1 - t0))
