def run(self):
lastIP = None #上一个发送者的IP
while not self.shouldStop:
if self.importQueue.empty():
continue
# elements = []
# for i in range(0, DataProcessor.BATCH_DATA_SIZE):
# element = self.importQueue.get()
# print '\nI`ve got an element type = %d, remaining element size :%d' %(element.type, self.importQueue.qsize())
# elements.append(element)
#self.importQueue.task_done()
#TODO: PROCESS DATA RIGHT HERE
element = self.importQueue.get()
eventElem, classElem = self.get_full_elements(element)#self.get_valid_elems(elements)
if (eventElem, classElem) == (None, None):
continue #尚未填满
print ' > > > I`m full...'
eveContent = eventElem.content
clsContent = classElem.content
timestamp = eveContent.timestamp
ip = eveContent.senderip
emoState = clsContent.result
posRate = clsContent.positive_rate
posdiff = 0
negdiff = 0
if emoState == ClassifierData.RESULT_POSITIVE:
posdiff = 1
else:
negdiff = 1
duration = eveContent.dur
if not self.has_participant(ip):
#如果没有这个参与者，则新建一条记录
participant = Participant(ip, duration, posdiff, negdiff)
participant.latest_pos_val = posRate # 判断为positive的rate
self.participants[ip] = participant
else:
#如果有记录，则在之前的基础上加上时间和相关的东西
self.participants[ip].totalTime += duration
self.participants[ip].posCount += posdiff
self.participants[ip].negCount += negdiff
self.participants[ip].latest_pos_val = posRate # 判断为positive的rate
self.participants[ip].latest_timestamp = timestamp #消息发送时间
self.participants[ip].ip = ip #IP地址还是要的
if self.nicknames.has_key(ip):
self.participants[ip].nickname = self.nicknames[ip] # 设置昵称
if (lastIP is not None) and (lastIP != ip):
#构造Conversation (排除上个人的ip是自己的情况！)
convContent = ConvContent(lastIP, timestamp, duration, emoState)
if not self.participants[ip].conversations.has_key(lastIP):
self.participants[ip].conversations[lastIP] = [] #新建一个列表，存放与这个人的conversations
self.participants[ip].conversations[lastIP].append(convContent)
#TODO: PUT PROCESSED DATA TO EXPORT QUEUE
#exportQueue里面是完整的participants数据
self.exportQueue.put(self.participants)
lastIP = ip # Update lastIP to current ip
