script/traffic_learner

   1 #!/usr/bin/env python
   2 # Generate a traffic model from a traffic summary file
   3 #
   4 # Copyright (C) Catalyst IT Ltd. 2017
   5 #
   6 # This program is free software; you can redistribute it and/or modify
   7 # it under the terms of the GNU General Public License as published by
   8 # the Free Software Foundation; either version 3 of the License, or
   9 # (at your option) any later version.
  10 #
  11 # This program is distributed in the hope that it will be useful,
  12 # but WITHOUT ANY WARRANTY; without even the implied warranty of
  13 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  14 # GNU General Public License for more details.
  15 #
  16 # You should have received a copy of the GNU General Public License
  17 # along with this program.  If not, see <http://www.gnu.org/licenses/>.
  18 #
  19
  20 import sys
  21 import argparse
  22
  23 sys.path.insert(0, "bin/python")
  24 from samba.emulate import traffic
  25
  26
  27 def main():
  28     parser = argparse.ArgumentParser(description=__doc__,
  29                         formatter_class=argparse.RawDescriptionHelpFormatter)
  30     parser.add_argument('-o', '--out', type=argparse.FileType('w'),
  31                         help="write model here")
  32     parser.add_argument('--dns-mode', choices=['inline', 'count'],
  33                         help='how to deal with DNS', default='count')
  34     parser.add_argument('SUMMARY_FILE', nargs='*', type=argparse.FileType('r'),
  35                         default=[sys.stdin],
  36                         help="read from this file (default STDIN)")
  37     args = parser.parse_args()
  38
  39     if not args.out:
  40         print >> sys.stdout, "No output file was specified to write the model to."
  41         print >> sys.stdout, "Please specify a filename using the --out option."
  42         return
  43
  44     if args.SUMMARY_FILE is sys.stdin:
  45         print >> sys.stderr, "reading from STDIN..."
  46
  47     (conversations,
  48      interval,
  49      duration,
  50      dns_counts) = traffic.ingest_summaries(args.SUMMARY_FILE,
  51                                             dns_mode=args.dns_mode)
  52
  53     model = traffic.TrafficModel()
  54     print >> sys.stderr, "learning model"
  55     if args.dns_mode == 'count':
  56         model.learn(conversations, dns_counts)
  57     else:
  58         model.learn(conversations)
  59
  60     model.save(args.out)
  61
  62
  63 main()