#!/usr/bin/env python

import sys
import os

import time

from multiprocessing.managers import BaseManager

import numpy as np

import interp.bootstrap

import logging
log = logging.getLogger("interp")

class QueueManager(BaseManager): pass
QueueManager.register('get_inqueue' )
QueueManager.register('get_outqueue')

def run_queries(count, order = 3, extra_points = 8):
  r = []
  submit_start = time.time()
  for i in xrange(count):
    X = np.random.random((1,3))[0]
    inq.put((i,order,extra_points,X))
  submit_end = time.time()

  receive_start = time.time()
  for i in xrange(count):
    r.append(outq.get())
  receive_end = time.time()

  return (r, submit_end - submit_start, receive_end - receive_start)

if __name__ == '__main__':
  server = 'localhost'

  m = QueueManager(address=(server, 50000), authkey='asdf')
  m.connect()

  expected_participants, count = (int(i) for i in sys.argv[1:])

  inq  = m.get_inqueue()
  outq = m.get_outqueue()

  # wait for all participants to be loaded up
  for i in xrange(expected_participants):
    print outq.get()

  # run codes
  results, submit, receive = run_queries(count, order=3, extra_points = 64)

  # shut down all participants
  for i in xrange(expected_participants):
    inq.put([None] * 4)

  stats = {}
  stats['submit'               ] = float(submit)
  stats['receive'              ] = float(receive)
  stats['count'                ] = count
  stats['expected_participants'] = expected_participants

  print "submit time for %(count)s interps, %(expected_participants)d participants: %(submit)0.2f seconds, results time: %(receive)0.2f" % stats
  log.error("stats: %s", stats)