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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