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