source: CMTManagement/utils/uptime.py @ 421

Last change on this file since 421 was 421, checked in by garonne, 17 years ago
File size: 2.0 KB
Line 
1#!/usr/bin/env python
2"""This displays uptime information using uptime.
3This is redundant perhaps, but it demonstrates expecting for a
4regular expression that uses subgroups.
5"""
6
7import pexpect
8import re
9
10# There are many different styles of uptime results.
11# I try to parse them all. Yeee!
12#
13# [x86] Linux 2.4 (Redhat 7.3)
14#  2:06pm  up 63 days, 18 min,  3 users,  load average: 0.32, 0.08, 0.02
15# [x86] Linux 2.4.18-14 (Redhat 8.0)
16#  3:07pm  up 29 min,  1 user,  load average: 2.44, 2.51, 1.57
17# [PPC - G4] MacOS X 10.1 SERVER Edition
18# 2:11PM  up 3 days, 13:50, 3 users, load averages: 0.01, 0.00, 0.00
19# [Sparc - R220] Sun Solaris (8)
20#  2:13pm  up 22 min(s),  1 user,  load average: 0.02, 0.01, 0.01
21# [x86] Linux 2.4.18-14 (Redhat 8)
22# 11:36pm  up 4 days, 17:58,  1 user,  load average: 0.03, 0.01, 0.00
23# AIX jwdir 2 5 0001DBFA4C00
24#  09:43AM   up  23:27,  1 user,  load average: 0.49, 0.32, 0.23
25
26# This parses uptime output into the major groups using
27# regex group matching.
28p = pexpect.spawn ('uptime')
29p.expect('up\s+(.*?),\s+([0-9]+) users?,\s+load averages?: ([0-9]+\.[0-9][0-9]), ([0-9]+\.[0-9][0-9]), ([0-9]+\.[0-9][0-9])')
30match = p.match
31duration, users, av1, av5, av15 = match.groups()
32
33# The duration is a little harder to parse because of all the different
34# styles of uptime. I'm sure there is a way to do this all at once with
35# one single regex, but I bet it would be hard to read and maintain.
36# If anyone wants to send me a version using a single regex I'd be
37# happy to see it.
38days = '0'
39if 'day' in duration:
40    match = re.search('([0-9]+)\s+day',duration)
41    days = match.group(1)
42hours = '0:0'
43if ':' in duration:
44    match = re.search('([0-9]+:[0-9]+)',duration)
45    hours = match.group(1)
46mins = '0'
47if 'min' in duration:
48    match = re.search('([0-9]+)\s+min',duration)
49    mins = match.group(1)
50
51# Print the parsed fields in CSV format.
52print 'days, hours, minutes, users, cpu avg 1 min, cpu avg 5 min, cpu avg 15 min'
53print '%s, %s, %s, %s, %s, %s, %s' % (days, hours, mins, users, av1, av5, av15)
54
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