18a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen#!/usr/bin/env python 28a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen 38a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen"""This displays uptime information using uptime. This is redundant, 48a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chenbut it demonstrates expecting for a regular expression that uses subgroups. 58a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen 68a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen$Id: uptime.py 489 2007-11-28 23:40:34Z noah $ 78a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen""" 88a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen 98a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chenimport pexpect 108a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chenimport re 118a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen 128a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# There are many different styles of uptime results. I try to parse them all. Yeee! 138a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# Examples from different machines: 148a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# [x86] Linux 2.4 (Redhat 7.3) 158a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# 2:06pm up 63 days, 18 min, 3 users, load average: 0.32, 0.08, 0.02 168a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# [x86] Linux 2.4.18-14 (Redhat 8.0) 178a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# 3:07pm up 29 min, 1 user, load average: 2.44, 2.51, 1.57 188a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# [PPC - G4] MacOS X 10.1 SERVER Edition 198a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# 2:11PM up 3 days, 13:50, 3 users, load averages: 0.01, 0.00, 0.00 208a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# [powerpc] Darwin v1-58.corefa.com 8.2.0 Darwin Kernel Version 8.2.0 218a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# 10:35 up 18:06, 4 users, load averages: 0.52 0.47 0.36 228a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# [Sparc - R220] Sun Solaris (8) 238a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# 2:13pm up 22 min(s), 1 user, load average: 0.02, 0.01, 0.01 248a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# [x86] Linux 2.4.18-14 (Redhat 8) 258a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# 11:36pm up 4 days, 17:58, 1 user, load average: 0.03, 0.01, 0.00 268a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# AIX jwdir 2 5 0001DBFA4C00 278a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# 09:43AM up 23:27, 1 user, load average: 0.49, 0.32, 0.23 288a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# OpenBSD box3 2.9 GENERIC#653 i386 298a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# 6:08PM up 4 days, 22:26, 1 user, load averages: 0.13, 0.09, 0.08 308a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen 318a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# This parses uptime output into the major groups using regex group matching. 328a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chenp = pexpect.spawn ('uptime') 338a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chenp.expect('up\s+(.*?),\s+([0-9]+) users?,\s+load averages?: ([0-9]+\.[0-9][0-9]),?\s+([0-9]+\.[0-9][0-9]),?\s+([0-9]+\.[0-9][0-9])') 348a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chenduration, users, av1, av5, av15 = p.match.groups() 358a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen 368a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# The duration is a little harder to parse because of all the different 378a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# styles of uptime. I'm sure there is a way to do this all at once with 388a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# one single regex, but I bet it would be hard to read and maintain. 398a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# If anyone wants to send me a version using a single regex I'd be happy to see it. 408a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chendays = '0' 418a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chenhours = '0' 428a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chenmins = '0' 438a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chenif 'day' in duration: 448a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen p.match = re.search('([0-9]+)\s+day',duration) 458a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen days = str(int(p.match.group(1))) 468a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chenif ':' in duration: 478a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen p.match = re.search('([0-9]+):([0-9]+)',duration) 488a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen hours = str(int(p.match.group(1))) 498a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen mins = str(int(p.match.group(2))) 508a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chenif 'min' in duration: 518a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen p.match = re.search('([0-9]+)\s+min',duration) 528a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen mins = str(int(p.match.group(1))) 538a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen 548a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen# Print the parsed fields in CSV format. 558a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chenprint 'days, hours, minutes, users, cpu avg 1 min, cpu avg 5 min, cpu avg 15 min' 568a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chenprint '%s, %s, %s, %s, %s, %s, %s' % (days, hours, mins, users, av1, av5, av15) 578a3c0430323c28c1fbe8ceecd2cd8e58b64a9295Johnny Chen 58