def POST(self):
global Work
global client_port
cprint("Data received, saving!", 'okgreen')
save = open("MultiHeaded-analisys.csv", 'a')
save.write(web.data())
save.close()
cprint("Sending next!", 'okgreen')
work_append(
web.ctx['ip'], client_port, Work.pop(1,1))
work_start(web.ctx['ip'], client_port)
response = requests.get(ip_port(client,client_port)+"/cores").text
success = True
except requests.exceptions.ConnectionError:
cprint("Cannot connect to %s" % (client),'fail')
cprint("Retry in 1 sec", 'info')
sleep(1)
info[client]["cores"] = json.loads(response)["cores"]
info[client]["multiplier"] = json.loads(response)["multiplier"]
#Add work to queue. Will be started when everyone get it's own
#(that way we can start the server that receive the results in time)
#Append a work for every core of every client
for client_ip in info:
cprint("Loading data for %s" % client_ip, 'info')
work_append(
client_ip, client_port, Work.pop(
info[client_ip]["cores"]
, info[client_ip]["multiplier"]))
#Really start the queue
cprint("Starting all queued",'info')
for client_ip in info:
work_init(client_ip, client_port)
#Wait for answers!
print("Waiting replys on: %s:%s"
%
(get_self_ip(), port))
app.run(port)
