def process_sentences_ST1(usr,layers,pur_p):
print 'Collect ractionlines for(2):',pur_p,'-----'
ractionlines=mdOntology.mdBaseOntology(usr,pur_p)
print 'Found:',len(ractionlines.nodesER)
process_termost(layers,usr,pur_p,ractionlines)
try:
sock = socket.socket()
sock.connect((host, port))
except Exception, e:
print 'Not connected....', e
time.sleep(5)
continue
sock.settimeout(None)
sock.send(ID)
pur_p2 = sock.recv(1024)
print 'receive-purpose:', pur_p2
return pur_p2
#
pur_p = start_socket()
ractionlinesG = mdOntology.mdBaseOntology(usr, pur_p)
mdNeural.self_usr = usr
mdNeural.type_coll = '1'
SemaIniParser.start_module(usr, pur_p)
#==========================================================
#==========================================================
#==========================================================
#==========================================================
conts = 0
while True:
# receive sentences an process them
print 'Wait for sentences....'
try:
sentence = sock.recv(1024)
print 'Start process new sentence..', sentence
#===========