#!/usr/bin/env python
# -*- coding:utf-8 -*-
'''
Step 5
'''
from __future__ import print_function
from base import create_csv, TARGET_DIR, MODEL_LIST
import os
import csv


def get_sorted_list(model_name):
    _m = model_name
    result = []
    fpath = os.path.join(TARGET_DIR, 'part4', '%s-step4.csv' % _m)
    if _m not in MODEL_LIST:
        return []
    weight_index = MODEL_LIST.index(_m) + 5  # offset
    with open(fpath, 'rb') as f:
        rows = csv.reader(f)
        for r in rows:
            # result[r[0]] = [r[1], r[2], r[3], r[4], r[5], r[6]]
            result.append([
                r[0],  # no of tree
                r[1],  # lo_id
                r[2],  # ???
                r[3],  # ??
                r[4],  # something count
                r[weight_index]
            ])
    sorted_result = sorted(result, key=lambda x: x[5], reverse=True)

    return sorted_result


def loop_thru_model():
    result = {}
    max_count = 0
    for m in MODEL_LIST:
        result[m] = get_sorted_list(m)
        max_count = max_count if max_count > len(result[m]) else len(result[m])

    return (result, max_count)


sorted_by_weight, max_count = loop_thru_model()
rows = []
# fill up header since there is no way to know what model is
row = ['|', ]
for m in MODEL_LIST:
    row += ['-', '-', m, '-', '-', '|']
rows.append(row)

for i in xrange(0, max_count):
    row = [(i+1), ]
    for m in MODEL_LIST:
        try:
            row += sorted_by_weight[m][i]
        except IndexError:
            row += ['', '', '', '', '', '']

    rows.append(row)

create_csv('sorted_all.csv', rows, directory='part5')