On 11/17/2010 4:45 PM, huisky wrote:
> Say I have following log file, which records the code usage.
> I want to read this file and do the summarize how much total CPU time
> consumed for each user.
> Is Python able to do so or say easy to achieve this?, anybody can give
> me some hints, appricate very much!
>
>
> Example log file.
> **************************************************************************************
I'm assuming the following (unquoted) data is in file "data.txt":
> LSTC license server version 224 started at Sun Dec 6 18:56:48 2009
> using configuration file /usr/local/lstc/server_data
> xyz 15...@trofast3.marin.ntnu.no LS-DYNA_971 NCPU=1 started Sun Dec 6
> 18:57:40
> 15...@trofast3.marin.ntnu.no completed Sun Dec 6 19:42:55
> xyz 15...@trofast3.marin.ntnu.no LS-DYNA_971 NCPU=2 started Sun Dec 6
> 20:17:02
> 15...@trofast3.marin.ntnu.no completed Sun Dec 6 20:26:03
> xyz 18...@trofast2.marin.ntnu.no LS-DYNA_971 NCPU=1 started Sun Dec 6
> 21:01:17
> 18...@trofast2.marin.ntnu.no completed Sun Dec 6 21:01:28
> tanhoi 5...@iimt-tanhoi-w.ivt.ntnu.no LS-DYNA_971 NCPU=1 started Mon
> Dec 7 09:31:00
> 5...@iimt-tanhoi-w.ivt.ntnu.no presumed dead Mon Dec 7 10:36:48
> sabril 18...@trofast2.marin.ntnu.no LS-DYNA_971 NCPU=2 started Mon
> Dec 7 13:14:47
> 18...@trofast2.marin.ntnu.no completed Mon Dec 7 13:24:07
> sabril 18...@trofast2.marin.ntnu.no LS-DYNA_971 NCPU=2 started Mon
> Dec 7 14:21:34
> sabril 18...@trofast2.marin.ntnu.no LS-DYNA_971 NCPU=2 started Mon
> Dec 7 14:28:42
> 18...@trofast2.marin.ntnu.no killed Mon Dec 7 14:31:48
> 18...@trofast2.marin.ntnu.no killed Mon Dec 7 14:32:06
The line wrapping being wrong shouldn't affect the logic.
$ cat data.py
lines = open("data.txt").readlines()
from collections import defaultdict
c = defaultdict(int)
for line in lines:
ls = line.split()
if len(ls) > 3 and ls[3].startswith("NCPU="):
amt = int(ls[3][5:])
c[ls[0]] += amt
for key, value in c.items():
print key, ":", value
$ python data.py
xyz : 4
tanhoi : 1
sabril : 6
regards
Steve
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