open(opts.traffic_summary, 'w').close()
except IOError:
# exception info will be added to log automatically
+ if debuglevel > 0:
+ import traceback
+ traceback.print_exc()
logger.exception(("the supplied traffic summary destination "
"(%s) is not writable" % opts.traffic_summary))
sys.exit()
opts.duration,
opts.replay_rate)
except ValueError:
+ if debuglevel > 0:
+ import traceback
+ traceback.print_exc()
logger.error(("Could not parse %s, which does not seem to be "
"a model generated by script/traffic_learner."
% model_file))
else:
conversations = []
- if debuglevel > 5:
- for c in traffic.seq_to_conversations(conversations):
- for p in c.packets:
- print(" ", p, file=sys.stderr)
-
- print('=' * 72, file=sys.stderr)
-
if opts.number_of_users and opts.number_of_users < len(conversations):
logger.error(("--number-of-users (%d) is less than the "
"number of conversations to replay (%d)"