def main(userid=None): data = KsdData() db = DbChamDemo.login() if userid==None: db.load(data) else: db.load(data, WHERE="uid =%d" % (userid)) data.prn() for user,loglist in data.T.iteritems(): print "====User %d: %d items" % (user, len(loglist)) vectors = getKsdVectors(loglist) updateConsistencyAndSharing(db, user, vectors) model = analyzeKsd(db, user, vectors) if model==None: continue updateScores(db, user, loglist, model) if model.trainset != None: print " --- New Learning" db.updateCenter(user, model.center, model.radius, debug=1) else: print " --- Old Learning" cleanvectors = getKsdVectors(loglist, maxscore=OUTLIER_SCORE) model = KsdModel() model.DoTraining(cleanvectors) db.updateCenter(user, model.center, model.radius, debug=1)
def run(self):
self.db = DbChamDemo.login()
msg = self.cliSock.recv(1000)
print msg
self.cliSock.send("from Server : " + msg)
cnt = 0
while True:
time.sleep(2)
print "port=%d" % (self.cliPort)
self.db.close()
id = file.split(".")[0]
try:
fname = "%s/%s" % (dirname, file)
patterns = parseMcdFile(fname)
except:
print "ERROR in file", file
continue
uid = db.getUid("mobile_"+id)
if uid==0:
print "uid error for id '%s'" % (id)
continue
for i,vec in enumerate(patterns):
ksdvec = ' '.join(vec)
ipaddr = random.choice(IPADDRS)
logtime = len(patterns) - i + 1
try:
db.insertKsdlog(uid, ipaddr, logtime, ksdvec )
except:
print "ERROR in DB", file
if __name__ == "__main__":
filelist = getFileList("users", ".mcd")
db = DbChamDemo.login()
##insertUid(db, "users", filelist)
insertKsdlog(db, "users", filelist)
