diff options
-rw-r--r-- | pexpect/examples/uptime.py | 37 |
1 files changed, 30 insertions, 7 deletions
diff --git a/pexpect/examples/uptime.py b/pexpect/examples/uptime.py index 86031ba..b783a8f 100644 --- a/pexpect/examples/uptime.py +++ b/pexpect/examples/uptime.py @@ -1,13 +1,14 @@ #!/usr/bin/env python """This displays uptime information using uptime. -A bit redundant perhaps, but it demonstrates expecting for a +This is redundant perhaps, but it demonstrates expecting for a regular expression that uses subgroups. """ import pexpect import re -# Different styles of uptime results. +# There are many different styles of uptime results. +# I try to parse them all. Yeee! # # [x86] Linux 2.4 (Redhat 7.3) # 2:06pm up 63 days, 18 min, 3 users, load average: 0.32, 0.08, 0.02 @@ -19,13 +20,35 @@ import re # 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 +# This parses uptime output into the major groups using +# regex group matching. p = pexpect.spawn ('uptime') -p.expect ('up ([0-9]+) days?,.*?,\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])') +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])') +match = p.match +duration, users, av1, av5, av15 = match.groups() -duration, users, av1, av5, av15 = p.match.groups() - -print '%s days, %s users, %s (1 min), %s (5 min), %s (15 min)' % ( - duration, users, av1, av5, av15) +# 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' +if 'day' in duration: + match = re.search('([0-9]+)\s+day',duration) + days = match.group(1) +hours = '0:0' +if ':' in duration: + match = re.search('([0-9]+:[0-9]+)',duration) + hours = match.group(1) +mins = '0' +if 'min' in duration: + match = re.search('([0-9]+)\s+min',duration) + mins = 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) |