# Crosscompute
items_text_path = './items.txt'
target_folder = './results/'

from os.path import join
items = items_text_path

items = open(items_text_path, 'r').read()

import re
pattern = re.compile(r'-+')
lists = []
for l in pattern.split(items):
    lists.append([x.strip() for x in l.splitlines() if x.strip()])
npairs = len(lists)

from itertools import product, groupby
from operator import itemgetter
from pandas import DataFrame

possible_combinations = sorted(list(product(*lists)), key=itemgetter(0))

lists = groupby(possible_combinations, key=itemgetter(0))
i = 1
paths = []
for k, g in lists:
    target_path = join(target_folder, 'combos%d.csv' % i)
    paths.append(target_path)
    i += 1
    df = DataFrame(list(g))
    df.to_csv(target_path, index=False)

for i, p in enumerate(paths):
    print('combos%d_table_path = %s' % (i, p))