def process_tuple(self, tup):
userId,ul = tup.values
ul_dict=ul#json.loads(ul)
# log.debug('ul--to filter---: '+str(userId))
if self.bucket.get(userId)!=None and len(self.bucket[userId])!=0:
bucket_uid_time = sorted(self.bucket[userId], key=lambda k: k.get('timestamp'))
ts_start=long(bucket_uid_time[0]['timestamp'])
samples_number=len(self.bucket[userId])
loc=dict(self.bucket[userId][0])['location']
loc_coor=[loc['lat'],loc['lng']]
else:
ts_start=long(ul_dict['timestamp'])
samples_number=0
loc=ul_dict['location']
loc_coor=[loc['lat'],loc['lng']]
duration=long(ul_dict['timestamp'])-ts_start
log.debug(' --duration-: '+str(duration)+'---samples num:--'+str(samples_number))
#emit
if duration>STORM_POI_DURATION_LIMIT:
if samples_number>STORM_POI_SAMPLES_BUCKET_NUMBER :
userlocations=self.bucket[userId]
self.emit((userId, userlocations))
self.bucket[userId]=[]
self.ul_distance_limit=0
log.debug('uls-collec-filter-bolt emit-----: '+str(userId)+'emit bucket length:'+str(len(userlocations)))
else:
self.bucket[userId]=[]
log.debug('--filter --samples number-: '+str(samples_number)+'---uid--'+str(userId))
self.ul_distance_limit=0
#time limit
if duration<STORM_POI_DURATION_LIMIT or duration==STORM_POI_DURATION_LIMIT :
# distance limit
new_loc_coor=[ul_dict['location']['lat'],ul_dict['location']['lng']]
if algo_utils.near_u_poi(loc_coor,new_loc_coor) :
if self.bucket.get(userId)==None:
self.bucket[userId]=[ul_dict]
else:
self.bucket[userId].append(ul_dict)
log.debug(str(userId)+'--adding - -bucket num: '+str(len(self.bucket[userId]))+'--time--:'+str(time_utils.timestamp2local(ul['timestamp']))+'--new loc:--'+str(new_loc_coor))
else:
self.ul_distance_limit=self.ul_distance_limit+1
if self.ul_distance_limit >STORM_UL_DIS_LIMIT:
self.bucket[userId]=[]
log.debug('--filter --distance limit-: '+str(self.ul_distance_limit)+'--uid:--'+str(userId))
self.ul_distance_limit=0
def __filter_existed_centers(self,center_evidences_list,u_pois):
filtered = []
for center_evidence in center_evidences_list:
is_new = True
for upoi in u_pois:
center = center_evidence[0]
upoi_coor = [upoi.latitude, upoi.longitude]
if near_u_poi(center, upoi_coor):
is_new = False
break
if is_new:
filtered.append(center_evidence)
return filtered
