#!/usr/bin/env python

from os.path import splitext, basename, dirname
from optparse import OptionParser
from plot import decode

def build_name(dirname, conf, wss_list):
    if dirname == '':
        dirname = '.'
    outname = dirname + '/'
    outname += 'pm_plugin=' + conf['plugin'] + '_dist=' + conf['dist']
    # atm we use only uniform for PM (we also use only light, but...)
    if 'light' in conf:
        outname += '_light'
    elif 'medium' in conf:
        outname += '_medium'
    elif 'heavy' in conf:
        outname += '_heavy'

    outname += '_wss='
    for wss in wss_list:
        if wss != wss_list[len(wss_list) - 1]:
            outname += str(wss) + ','
        else:
            outname += str(wss)
    outname += '_ovd=' + conf['ovd'] + '.csv'
    return outname


class WSSCompactor():
    def __init__(self):
        self.ovhead_table = {}
        self.wss_list = []

    def add_wss(self, wss):
        self.wss_list.append(int(wss))

    def read_csv(self, datafile):
        csvf = open(datafile, 'r')
        # csvf format is: tss, max, avg
        for line in csvf:
            tmp = line.split(', ')
            if tmp[0] in self.ovhead_table.keys():
                self.ovhead_table[tmp[0]] += [tmp[1], tmp[2].rstrip('\n')]
            else:
                self.ovhead_table[tmp[0]] = [tmp[1], tmp[2].rstrip('\n')]
        csvf.close()

    def write_csv(self, dirname, conf):
        self.wss_list.sort()
        outname = build_name(dirname, conf, self.wss_list)
        csvf = open(outname, 'w')
        csvf.write('# ' + conf['plugin'] + ' ' + conf['ovd'] + '\n')

        wstr = '# tssize, '
        for wss in self.wss_list:
            wstr += 'wss=' + str(wss) + ':(max, avg), '
        csvf.write(wstr[0:-2] + '\n')

        for key in sorted(self.ovhead_table.keys(), key=int):
            wstr = key + ', '
            for value in self.ovhead_table[key]:
                if float(value) > 0:
                    wstr += value + ', '
                else:
                    wstr += '0.00000, '
            wstr = wstr[0:-2]
            csvf.write(wstr + '\n')

        csvf.close()

def main(args):
    wsscmpctr = WSSCompactor()
    for datafile in args:
        bname = basename(datafile)
        fname, ext = splitext(bname)
        if ext != '.csv':
            self.err("Warning: '%s' doesn't look like a CSV file."
                     % bname)
        conf = decode(fname)
        wsscmpctr.add_wss(conf['wss'])
        wsscmpctr.read_csv(datafile)

    # assume all files in same directory and same kind of overheads
    wsscmpctr.write_csv(dirname(datafile), conf)

if __name__ == "__main__":
    usage = "Usage: %prog <list of files, _sorted_ by WSS>"
    parser = OptionParser(usage=usage)
    (options, args) = parser.parse_args()
    if len(args) < 1:
        parser.error("Argument missing")
        sys.exit(-1)
    main(args)