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server.py
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server.py
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#!/usr/bin/env python
# coding: utf-8
import socket
from _socket import timeout
from common import PORT
import time
from monitor import Monitor
from provisioner import Provisioner
from statistics import Statistics
import argparse
import sys
from azure_config import AzureConfig
from schedule import BudgetException
from condor import condor_rm_jobs
TIMEOUT = 5
def receive(client_socket):
# Receive messages from client and concatenate them
chunks = []
while True:
data = client_socket.recv(1024)
if not data:
break
else:
chunks.append(data.decode('UTF-8'))
return ''.join(chunks)
def main(vm_limit, config_path, skip_setup, local):
azure_config = None
if config_path:
azure_config = AzureConfig(config_path)
provisioner = Provisioner(vm_limit+1, azure_config, skip_setup, local) #+manager
monitor = None
statistics = Statistics()
# Socket setup
server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server_socket.bind(('localhost', PORT))
server_socket.listen(1)
server_socket.settimeout(TIMEOUT)
# Wait for connections until receive a stop message
done = False
no_budget = False
while(True):
if done and ((monitor != None and monitor.logwatcher.watching_none()) \
or (monitor == None and provisioner.logwatcher.watching_none())) \
or no_budget:
break
try:
client_socket, _addr = server_socket.accept()
msg = receive(client_socket)
msgs = msg.split(' ')
# Stop server
if '--stop' in msgs[0]:
done = True
elif len(msgs) == 1:
if monitor != None:
raise Exception("Only one workflow can be monitored at a time")
# Parse workflow to monitor
monitor = Monitor()
wf_dir = msgs[0]
monitor.add_workflow(wf_dir)
else:
if monitor != None:
raise Exception("Only one workflow can be monitored at a time")
provisioner.update_budget_timestamp()
# Parse and schedule a new Workflow instance
wf_dir = msgs[0]
pred = msgs[1]
budget = msgs[2]
provisioner.add_workflow(wf_dir, prediction_file=pred, budget=budget)
try:
provisioner.update_schedule()
except BudgetException:
no_budget = True
client_socket.close()
except timeout:
if monitor == None and provisioner.workflow.jobs:
provisioner.update_budget_timestamp()
# Update and sync vms
provisioner.allocate_new_vms()
provisioner.deallocate_vms()
provisioner.sync_machines()
# Update, sync jobs, may reschedule
try:
provisioner.update_jobs()
except BudgetException:
no_budget = True
# Statistics
provisioner.update_wf_pred()
statistics.schedshot(provisioner)
statistics.snapshot(provisioner.timestamp, provisioner.schedule.entries, provisioner.machines)
elif monitor and monitor.workflow.jobs:
monitor.update_timestamp()
monitor.sync_machines()
monitor.sync_jobs()
statistics.snapshot(monitor.timestamp, monitor.entries, monitor.machines)
sys.stdout.flush()
if monitor == None:
entries = provisioner.schedule.entries
else:
entries = monitor.entries
statistics.jobs(entries)
statistics.dump()
if provisioner.exp:
try:
provisioner.exp.deprovision()
except Exception:
pass
condor_rm_jobs()
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Provisioner server')
parser.add_argument('-n', '--vm_limit', type=int, default=32)
parser.add_argument('-l', '--local', action='store_true', default=False)
parser.add_argument('-c', '--config_path', help='azure config path')
parser.add_argument('-s', '--skip_setup', action='store_true', default=True)
args = parser.parse_args()
main(args.vm_limit, args.config_path, args.skip_setup, args.local)