# ingest the model
if model_file and not opts.generate_users_only:
+ model = traffic.TrafficModel()
try:
- model = traffic.TrafficModel()
-
- try:
- model.load(model_file)
- except ValueError:
- logger.error(("Could not parse %s. The model file "
- "should be generated by the "
- "traffic_learner script.") % model_file)
- sys.exit()
-
- logger.info(("Using the specified model file to "
- "generate conversations"))
-
- conversations = model.generate_conversation_sequences(opts.scale_traffic,
- opts.duration,
- opts.replay_rate)
+ model.load(model_file)
except ValueError:
if debuglevel > 0:
import traceback
% model_file))
sys.exit(1)
+ logger.info(("Using the specified model file to "
+ "generate conversations"))
+
+ conversations = \
+ model.generate_conversation_sequences(
+ opts.scale_traffic,
+ opts.duration,
+ opts.replay_rate)
else:
conversations = []