I have two files:
metadata.csv: contains an ID, followed by vendor name, a filename, etc
hashes.csv: contains an ID, followed by a hash
The ID is essentially a foreign key of sorts, relating file metadata to its hash.
I wrote this script to quickly extract out all hashes associated with a particular vendor. It craps out before it finishes processing hashes.csv
stored_ids = []
# this file is about 1 MB
entries = csv.reader(open(options.entries, "rb"))
for row in entries:
# row[2] is the vendor
if row[2] == options.vendor:
# row[0] is the ID
stored_ids.append(row[0])
# this file is 1 GB
hashes = open(options.hashes, "rb")
# I iteratively read the file here,
# just in case the csv module doesn't do this.
for line in hashes:
# not sure if stored_ids contains strings or ints here...
# this probably isn't the problem though
if line.split(",")[0] in stored_ids:
# if its one of the IDs we're looking for, print the file and hash to STDOUT
print "%s,%s" % (line.split(",")[2], line.split(",")[4])
hashes.close()
This script gets about 2000 entries through hashes.csv before it halts. What am I doing wrong? I thought I was processing it line by line.
ps. the csv files are the popular HashKeeper format and the files I am parsing are the NSRL hash sets. http://www.nsrl.nist.gov/Downloads.htm#converter
UPDATE: working solution below. Thanks everyone who commented!
entries = csv.reader(open(options.entries, "rb"))
stored_ids = dict((row[0],1) for row in entries if row[2] == options.vendor)
hashes = csv.reader(open(options.hashes, "rb"))
matches = dict((row[2], row[4]) for row in hashes if row[0] in stored_ids)
for k, v in matches.iteritems():
print "%s,%s" % (k, v)
