using python to parse md5sum list

[Ben Rf]

Hi

I'm new to programming and i'd like to write a program that will parse
a list produced by md5summer and give me a report in a text file on
which md5 sums appear more than once and where they are located.

the end end goal is to have a way of finding duplicate files that are
scattered across a lan of 4 windows computers.

I've dabbled with different languages over the years and i think
python is a good language for this but i have had a lot of trouble
sifting through manual and tutorials finding out with commands i need
and their syntax.

Can someone please help me?

Thanks.

Ben

[James Stroud]

Among many other things:

First, you might want to look at os.path.walk()
Second, look at the string data type.

Third, get the Python essential reference.

Also, Programming Python (O'Riely) actually has a lot in it about stuff like
this. Its a tedious read, but in the end will help a lot for administrative
stuff like you are doing here.

So, with the understanding that you will look at these references, I will
foolishly save you a little time...

If you are using md5sum, tou can grab the md5 and the filename like such:

myfile = open(filename)
md5sums = []
for aline in myfile.readlines():
md5sums.append(aline[:-1].split(" ",1))
myfile.close()

The md5 sum will be in the 0 element of each tuple in the md5sums list, and
the path to the file will be in the 1 element.
James

On Saturday 05 March 2005 07:54 pm, Ben Rf wrote:

Hi

I'm new to programming and i'd like to write a program that will parse
a list produced by md5summer and give me a report in a text file on
which md5 sums appear more than once and where they are located.

the end end goal is to have a way of finding duplicate files that are
scattered across a lan of 4 windows computers.

I've dabbled with different languages over the years and i think
python is a good language for this but i have had a lot of trouble
sifting through manual and tutorials finding out with commands i need
and their syntax.

Can someone please help me?

Thanks.

Ben

--
James Stroud, Ph.D.
UCLA-DOE Institute for Genomics and Proteomics
Box 951570
Los Angeles, CA 90095

[Michael Hoffman]

Ben Rf wrote:

I'm new to programming and i'd like to write a program that will parse
a list produced by md5summer and give me a report in a text file on
which md5 sums appear more than once and where they are located.

This should do the trick:

"""
import fileinput

md5s = {}
for line in fileinput.input():
md5, filename = line.rstrip().split()
md5s.setdefault(md5, []).append(filename)

for md5, filenames in md5s.iteritems():
if len(filenames) > 1:
print "\t".join(filenames)
"""

Put this in md5dups.py and you can then use
md5dups.py [FILE]... to find duplicates in any of the files you
specify. They'll then be printed out as a tab-delimited list.

Key things you might want to look up to understand this:

* the dict datatype
* dict.setdefault()
* dict.iteritems()
* the fileinput module
--
Michael Hoffman

[Marc 'BlackJack' Rintsch]

In <ma***************************************@python. org>, James Stroud
wrote:

If you are using md5sum, tou can grab the md5 and the filename like such:

myfile = open(filename)
md5sums = []
for aline in myfile.readlines():
md5sums.append(aline[:-1].split(" ",1))
md5sums.append(aline[:-1].split(None, 1))

That works too if md5sum opened the files in binary mode which is the
default on Windows. The filename is prefixed with a '*' then, leaving
just one space between checksum and filename.
myfile.close()

Ciao,
Marc 'BlackJack' Rintsch

[Christos TZOTZIOY Georgiou]

On 5 Mar 2005 19:54:34 -0800, rumours say that be********@gmail.com (Ben Rf)
might have written:

[snip]

the end end goal is to have a way of finding duplicate files that are
scattered across a lan of 4 windows computers.

Just in case you want to go directly to that goal, check this:

http://groups-beta.google.com/group/...8e292ec9adb82d

It doesn't read a file at all, unless there is a need to do that. For example,
if you have ten small files and one large one, the large one will not be read
(since no other files would be found with the same size).

In your case, you can use the find_duplicate_files function with arguments like:
r"\\COMPUTER1\SHARE1", r"\\COMPUTER2\SHARE2" etc
--
TZOTZIOY, I speak England very best.
"Be strict when sending and tolerant when receiving." (from RFC1958)
I really should keep that in mind when talking with people, actually...