def start(self):
RabbitMQ.declareExchange(self.channel, self.exchange, _type="topic")
queue = self.channel.queue_declare()
queue_name = queue.method.queue
self.channel.queue_bind(exchange=self.exchange, queue=queue_name, routing_key=self.routing_key)
self.channel.basic_consume(self.onMessage, no_ack=True)
self.channel.start_consuming()
def start(self):
RabbitMQ.declareExchange(self.channel, self.exchange, _type="topic")
queue = self.channel.queue_declare()
queue_name = queue.method.queue
self.channel.queue_bind(exchange=self.exchange,
queue=queue_name,
routing_key=self.routing_key)
self.channel.basic_consume(self.onMessage, no_ack=True)
self.channel.start_consuming()
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 __init__(self, exchange, key, seconds_delay, repetitions):
self.config = JOb(file(os.path.join(os.path.dirname(__file__), "..", "virtualisation", "config.json"), "rb"))
self.host = self.config.rabbitmq.host
self.port = self.config.rabbitmq.port
print "Start listening on", self.host, "with port", self.port
print "Waiting for topic", key, "on exchange", exchange
self.connection, self.channel = RabbitMQ.establishConnection(self.host, self.port)
self.exchange = exchange
self.routing_key = key
RabbitMQ.declareExchange(self.channel, self.exchange, _type='topic')
self.seconds_delay = seconds_delay
self.repetitions = repetitions
self.timer = None
self.q = Queue()
self.lock = Lock()
shell=True)
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()
subprocess.call('java -cp eventannotation.jar org.ccsr.datacollection.createtrainingdata.AnnotateTweetsEvents',
shell=True)
if os.path.isfile(data_folder+"temporal-Tweets-Location.txt"):
os.remove(data_folder+"temporal-Tweets-Location.txt")
subprocess.call('java -cp eventannotation.jar org.ccsr.datacollection.createtrainingdata.AnnotateTweetsLocations',
shell=True)
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:
