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[QUOTE="Jan Danielsson, post: 2054583"]
Hello all,

I have a backup system which produces files using the following pattern:

For instance:

documents.2007-01-01.tar.bz2.gpg
   documents.2007-01-02.tar.bz2.gpg
   .
   .
   .
   system_files.2007-01-01.tar.bz2.gpg
   system_files.2007-01-02.tar.bz2.gpg
   .
   .
   .
   etc.

Obviously, I have little need for *all* those files. What I want to
do is to delete old files according to this pattern:

- Keep all backup files which are two weeks, or less, old
   - If backups are more than two weeks old, then keep only the latest
one for each week.
   - If backups are more than two months old, then keep only the latest
one for each month.
   - If backups are more than two years old, then keep only the latest
one for each year.

I have generated a list of files, parsed the date from the entries,
and created date object from them. I have a list where I have grouped
the "basenames" together. I.e. (lists in a list):

documents
	2007-01-01
	2007-01-02
	.
	.
	.
system_files
	2007-01-01
	2007-01-02
	.
	.
	.

Now all I have to do is iterate through the date-lists for each of
the basenames, and apply the rules! Well..

How does one group by week, for instance? I'd like to create a new
set of lists which looks like this:

basename:documents
      week:01
        2007-01-01
        2007-01-02
      week:02
        2007-01-07
        2007-01-08

Date-grouping is dead easy in SQL, but I don't feel like resorting to
postgresql just for this. :-)

I've been looking at the datetime.date class, but I can't see any
easy way to parse the week number from it. I could calculate this
information by brute force -- but I get a feeling that there are
functions in Python to extract week numbers from a date.

-- 
Kind regards,
Jan Danielsson
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[/QUOTE]

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