def hello_IoT_world():
# establish connection
host = "131.227.92.55"
port = 8007
rabbitmqconnection, rabbitmqchannel = RabbitMQ.establishConnection(host, port)
# declare exchange
exchange = 'Social_data'
topic1 = 'Aarhus'
topic2 = 'Aarhus.Traffic.SensorID002'
RabbitMQ.declareExchange(rabbitmqchannel, exchange, _type="topic")
json = make_message()
RabbitMQ.sendMessage(json, rabbitmqchannel, exchange, topic1)
time.sleep(10)
def resend(self, channel, message, routing_key, _repetitions):
_repetitions -= 1
# print _repetitions, self.exchange, routing_key
try:
if not channel.is_open:
print "Exiting because channel is closed."
return
RabbitMQ.sendMessage(message, channel, self.exchange, routing_key)
except Exception as e:
print "failed to resend", routing_key, e
if _repetitions > 0:
self.q.put((message, routing_key, _repetitions), block=False)
else:
del message
del routing_key
del _repetitions
def sendMessage(_tuple): msg, exchange, key = _tuple print "resending event", msg, "on routing key", key RabbitMQ.sendMessage(msg, exchange, key)
data_folder + "trans-temporal-Tweets-9Dict.txt",
data_folder + "temporal-Tweets-Location.txt")
counter = 0
dict_data_df = pd.DataFrame(dict_data)
if dict_data:
RabbitMQ.declareExchange(rabbitmqchannel, exchange, _type="topic")
for item in dict_data_df.Type: #['Type']:
tmp_topic = topic + '.' + item
temporal_message = serializeEvent(
dict_data_df.Id[counter], dict_data_df.Name[counter],
'Twitter.Aarhus', dict_data_df.Level[counter],
dict_data_df.Loc[counter], dict_data_df.Type[counter],
dict_data_df.Time[counter])
print(temporal_message)
#temporal_message=json.dumps(tmp_dict_data, sort_keys = True)
RabbitMQ.sendMessage(temporal_message, rabbitmqchannel, exchange,
tmp_topic)
counter += 1
time.sleep(10)
Sleep = Sleep + 10
stop = datetime.datetime.now()
processing_time = stop - start
print 'Processing time: ' + str(processing_time)
if ED_flag:
NOW = Now + Step
else:
NOW += step
if processing_time.total_seconds() > step.total_seconds():
delay = 0
else:
delay = step.total_seconds() - processing_time.total_seconds()
sys.path.remove(JAVA_DIR)
# Multi-view Learning
os.chdir(workingDir)
fix_SENNA_result(SENNA_DIR+"/trans-temporal-clean-Tweets-senna.txt",Sleep)
dict_data=get_result(NOW,trans_df,raw_df,result_folder+city+'-trans-temporal-Tweets-CNN.txt',data_folder+"trans-temporal-Tweets-9Dict.txt",data_folder+"temporal-Tweets-Location.txt")
counter=0
dict_data_df=pd.DataFrame(dict_data)
if dict_data:
RabbitMQ.declareExchange(rabbitmqchannel, exchange, _type="topic")
for item in dict_data_df.Type:#['Type']:
tmp_topic=topic+'.'+item
temporal_message=serializeEvent(dict_data_df.Id[counter], dict_data_df.Name[counter],'Twitter.Aarhus',dict_data_df.Level[counter],dict_data_df.Loc[counter], dict_data_df.Type[counter],dict_data_df.Time[counter])
print(temporal_message)
#temporal_message=json.dumps(tmp_dict_data, sort_keys = True)
RabbitMQ.sendMessage(temporal_message, rabbitmqchannel, exchange, tmp_topic)
counter+=1
time.sleep(10)
Sleep=Sleep+10
stop=datetime.datetime.now()
processing_time=stop-start
print 'Processing time: '+ str(processing_time)
if ED_flag:
NOW=Now+Step
else:
NOW+=step
if processing_time.total_seconds()>step.total_seconds():
delay=0
else:
delay=step.total_seconds() - processing_time.total_seconds()
def sendMessage(tuple):
msg = tuple[0]
exchange = tuple[1]
key = tuple[2]
print "resending event", msg, "on routing key", key
RabbitMQ.sendMessage(msg, exchange, key)
