def _process(programs):
ml = ML(programs)
f = open("features.csv", "r")
out = open("featuresml.txt", "w")
next(f)
for linha in f:
data = linha.strip("\n")
id = linha.split(",")[0]
res = ml.prediction(data.split(","))
out.write(str(id) + "," + str(res) + "\n")
out.close()
f.close()
def server():
ml = ML()
# Create a TCP/IP socket
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
# Bind the socket to the port
server_address = ('localhost', 10002)
log.debug('Inicializando %s na porta %s', server_address[0], server_address[1])
sock.bind(server_address)
# Listen for incoming connections
sock.listen(1)
while True:
# Wait for a connection
log.debug('Esperando por uma conexao...')
connection, client_address = sock.accept()
try:
log.debug('Conexao de %s', client_address)
# Recebendo dados
data = connection.recv(2048)
data = data.strip("\n")
log.debug('\tRecebido %s', data)
if data == "EXIT":
break;
#print '\tRecebido %s' % data
res = ml.prediction(data.split(","))
# Enviando dados
connection.sendall(str(res) + "\n")
log.debug("\tEnviado: %s", res)
finally:
connection.close()
sock.close()
