1 #!/usr/bin/env python 2 3 """This displays uptime information using uptime. This is redundant, 4 but it demonstrates expecting for a regular expression that uses subgroups. 5 6 $Id: uptime.py 489 2007-11-28 23:40:34Z noah $ 7 """ 8 9 import pexpect 10 import re 11 12 # There are many different styles of uptime results. I try to parse them all. Yeee! 13 # Examples from different machines: 14 # [x86] Linux 2.4 (Redhat 7.3) 15 # 2:06pm up 63 days, 18 min, 3 users, load average: 0.32, 0.08, 0.02 16 # [x86] Linux 2.4.18-14 (Redhat 8.0) 17 # 3:07pm up 29 min, 1 user, load average: 2.44, 2.51, 1.57 18 # [PPC - G4] MacOS X 10.1 SERVER Edition 19 # 2:11PM up 3 days, 13:50, 3 users, load averages: 0.01, 0.00, 0.00 20 # [powerpc] Darwin v1-58.corefa.com 8.2.0 Darwin Kernel Version 8.2.0 21 # 10:35 up 18:06, 4 users, load averages: 0.52 0.47 0.36 22 # [Sparc - R220] Sun Solaris (8) 23 # 2:13pm up 22 min(s), 1 user, load average: 0.02, 0.01, 0.01 24 # [x86] Linux 2.4.18-14 (Redhat 8) 25 # 11:36pm up 4 days, 17:58, 1 user, load average: 0.03, 0.01, 0.00 26 # AIX jwdir 2 5 0001DBFA4C00 27 # 09:43AM up 23:27, 1 user, load average: 0.49, 0.32, 0.23 28 # OpenBSD box3 2.9 GENERIC#653 i386 29 # 6:08PM up 4 days, 22:26, 1 user, load averages: 0.13, 0.09, 0.08 30 31 # This parses uptime output into the major groups using regex group matching. 32 p = pexpect.spawn ('uptime') 33 p.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])') 34 duration, users, av1, av5, av15 = p.match.groups() 35 36 # The duration is a little harder to parse because of all the different 37 # styles of uptime. I'm sure there is a way to do this all at once with 38 # one single regex, but I bet it would be hard to read and maintain. 39 # If anyone wants to send me a version using a single regex I'd be happy to see it. 40 days = '0' 41 hours = '0' 42 mins = '0' 43 if 'day' in duration: 44 p.match = re.search('([0-9]+)\s+day',duration) 45 days = str(int(p.match.group(1))) 46 if ':' in duration: 47 p.match = re.search('([0-9]+):([0-9]+)',duration) 48 hours = str(int(p.match.group(1))) 49 mins = str(int(p.match.group(2))) 50 if 'min' in duration: 51 p.match = re.search('([0-9]+)\s+min',duration) 52 mins = str(int(p.match.group(1))) 53 54 # Print the parsed fields in CSV format. 55 print 'days, hours, minutes, users, cpu avg 1 min, cpu avg 5 min, cpu avg 15 min' 56 print '%s, %s, %s, %s, %s, %s, %s' % (days, hours, mins, users, av1, av5, av15) 57 58
