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