On Jan 18, 6:52 am, "kak...@gmail.com" <kak...@gmail.com> wrote:
> Hello to all!
> I want to parse a log file with the following format for
> example:
>               TIMESTAMPE            Operation     FileName
> Bytes
> 12/Jan/2010:16:04:59 +0200   EXISTS       sample3.3gp   37151
> 12/Jan/2010:16:04:59 +0200  EXISTS        sample3.3gp   37151
> 12/Jan/2010:16:04:59 +0200  EXISTS        sample3.3gp   37151
> 12/Jan/2010:16:04:59 +0200  EXISTS        sample3.3gp   37151
> 12/Jan/2010:16:04:59 +0200  EXISTS        sample3.3gp   37151
> 12/Jan/2010:16:05:05 +0200  DELETE      sample3.3gp   37151
>
> How can i count the operations for a month(e.g total of 40 Operations,
> 30 exists, 10 delete?)
> Any tips?
>
> Thanks in advance
> Antonis

time.strptime(string[, format])
Parse a string representing a time according to a format. The return
value is a struct_time as returned by gmtime() or localtime().

The format parameter uses the same directives as those used by strftime
(); it defaults to "%a %b %d %H:%M:%S %Y" which matches the formatting
returned by ctime(). If string cannot be parsed according to format,
or if it has excess data after parsing, ValueError is raised. The
default values used to fill in any missing data when more accurate
values cannot be inferred are (1900, 1, 1, 0, 0, 0, 0, 1, -1).

>>> import time
>>> ts='12/Jan/2010:16:04:59 +0200'
>>> time.strptime(ts[:-6], '%d/%b/%Y:%H:%M:%S')
time.struct_time(tm_year=2010, tm_mon=1, tm_mday=12, tm_hour=16,
tm_min=4, tm_sec=59, tm_wday=1, tm_yday=12, tm_isdst=-1)

I leave the conversion of the last six characters (the time zone
offset) as an exercise for the student.  :)
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