def getCommTags(self, uid):
redis = RedisCluster.getRedis(uid, NEIGH_TAGS_DB)
cache = redis.hgetall(uid)
ret = {}
for k, v in cache:
ret[k] = v.split(",")
return ret
def getCommTags(self, uid):
redis = RedisCluster.getRedis(uid, NEIGH_TAGS_DB)
cache = redis.hgetall(uid)
ret = {}
for k, v in cache:
ret[k] = v.split(",")
return ret
return set()
else:
return self.neighbours(nodeID)
"""
read neighbours of nodeID from redis cluster
"""
def fetchNode(self, nodeID):
neighbours = self.snDao.getUserFriendsID(nodeID)
if len(neighbours) > 0:
self.addEdges(nodeID, neighbours)
if __name__ == "__main__":
# csvReader = csv.reader(file(sys.argv[1],'rb'), csv.excel_tab)
# i = 0
# g = Graph()
# for line in csvReader:
# edgeArr = line
# g.addEdge(i, edgeArr[0], edgeArr[1], 1.0)
# i+=1
# g.printGraph()
dataCluster = RedisCluster([ ("10.11.1.51", 6379),
("10.11.1.52", 6379), ("10.11.1.53", 6379), ("10.11.1.54", 6379), ("10.11.1.55", 6379),
("10.11.1.56", 6379), ("10.11.1.57", 6379), ("10.11.1.58", 6379), ("10.11.1.61", 6379),
("10.11.1.46", 6379), ("10.11.1.63", 6379)])
dataCluster.start()
#graphCache = GraphCache(dataCluster)
#print str(graphCache.egoNetwork("1000048833"))
#dataCluster.getRedis("1897953162", SN_DB).delete("1897953162")
dataCluster.getRedis("1650507560", SN_DB).delete("1650507560")
def getUserNeighComms(self, uid):
redis = RedisCluster.getRedis(uid, NEIGH_COMMS_DB)
return redis.hgetall(uid)
def getUserNeighComms(self, uid):
redis = RedisCluster.getRedis(uid, NEIGH_COMMS_DB)
return redis.hgetall(uid)
