Parse sadf (sar) data to csv

#!/usr/bin/python
import getopt, sys, commands, re


def uniq(inlist):
    # finding of unique items
    uniques = []
    for item in inlist:
        if item not in uniques:
            uniques.append(item)
    return uniques
def usage():
    help = """Use:\n
    sadfParse.py --s=';' --f=',' --c='sadf -p  -- -P 1 -s 09:00:00 -e 10:30:00'\n
    --c=\'sadf -p -- sar option\' sadf command with sar parameters, -p is required\n
    --s=\'separator\' for setting separator character, default is \',\'\n
    --f=\'division\' for setting division character, default is \'.\'\n
    Don\'t use the same separator and division character\n"""
    print help
    sys.exit()
if __name__ == "__main__":
    try:
        # Get option fron command line
        opts, args = getopt.getopt(sys.argv[1:], 'h', ['c=', 's=', 'f='])
    except getopt.GetoptError, err:
            # print help information and exit:
            print str(err) # will print something like "option -a not recognized"
            usage()
            sys.exit(2)
    # set default parameters
    command = 'sadf -p -- -A -s 00:00:00 -e 01:00:00'
    separator = ','
    division = ''
    # parse options
    for o, v in opts:
        if o == '-h':
            usage()
        elif o == '--c':
            command = v
        elif o == '--s':
            separator = v
        elif o == '--f':
            division = v
    # execute sadf command and get timestamps and metrics
    sadfData = commands.getoutput(command)
    timestamps = (uniq(re.findall('\d{10}',sadfData)))
    metrics = (uniq(re.findall('\d{10}\t(.*\t.*)\t.*',sadfData)))
    # build  strings with metrics for each timestamp
    csv = 'timestamp'
    for index in metrics:
        csv += separator + index
    csv += '\n'
    for t in timestamps:
        row = ''
        for m in metrics:
            row += separator + ''.join(re.findall(t + '\t' + m + '\t(.*)', sadfData))
        csv += t + row + '\n'
    if division != '':
        csv = csv.replace(".",division)
    print csv