def activity_event_callback(msg):
'''Callback fonction for asynchronous consumption of activity messages'''
# Verify the message type
assert(msg.topic == ActivityDetectionEventsConsumer.topic_activity_detection_events)
# Deserialize the message from avro
event = ActivityDetectionEvent.from_serialized(msg.value)
print(str(event))
# Update the user activity cache
user_activity_cache[event.user_id] = event.activity_label, event.timestampBegin, event.timestampBackend
consumer = KafkaConsumer(args.topic,
group_id='my_group',
bootstrap_servers=[args.kafka + ':9092'])
print "Listening on topic:", args.topic
for message in consumer:
# message value is raw byte string -- decode if necessary!
# e.g., for unicode: `message.value.decode('utf-8')`
if args.raw:
value = message.value
else:
curTime = int(round(time.time() * 1000))
activity = ActivityDetectionEvent.from_serialized(message.value)
if startTime is None:
startTime = activity.timestampBegin
totalMsg += 1
timeTaken = curTime - activity.timestampBegin
halftimeTaken = activity.timestampBackend - activity.timestampBegin
totalTimeTaken += timeTaken
rightPredict = True if activity.activity_label == activity.actual_activity_label else False
if rightPredict:
totalCorrect += 1
value = "user={0}, activity={1}, time-taken={2}ms, half-time={3}ms, correct={4}, total={5}, rate={6:.2f}/s, avg. speed={7:.2f}ms, prec={8:.2f}".format(
activity.user_id,
activity.activity_label,
