|
|
# -*- coding:utf-8 -*- |
|
|
#!/usr/bin/env python |
|
|
from __future__ import print_function |
|
|
from base import Lo, create_csv, TARGET_DIR |
|
|
import os |
|
|
import csv |
|
|
import sys |
|
|
|
|
|
los = Lo() |
|
|
|
|
|
xmodels = { |
|
|
'IMSf': {}, 'IMSD': {}, 'IMHf': {}, 'IMHD': {}, 'IFSf': {}, 'IFSD': {}, |
|
|
'IFHf': {}, 'IFHD': {}, 'CMSf': {}, 'CMSD': {}, 'CMHf': {}, 'CMHD': {}, |
|
|
'CFSf': {}, 'CFSD': {}, 'CFHf': {}, 'CFHD': {}, 'PMSf': {}, 'PMSD': {}, |
|
|
'PMHf': {}, 'PMHD': {}, 'PFSf': {}, 'PFSD': {}, 'PFHf': {}, 'PFHD': {}, |
|
|
} |
|
|
''' |
|
|
แก้ตรงนี้ >> RANK_ORDER << ถ้าจะเพิ่ม rank ใส่อะไรก็ใส่ไปตามลำดับ |
|
|
''' |
|
|
RANK_ORDER = ['1', '2', '3', '4'] |
|
|
|
|
|
fs = ('Case1_LS.csv', 'Case1_Gender.csv', 'Case1_Level.csv', 'Case1_SciF.csv') |
|
|
|
|
|
|
|
|
def process_s2_data(): |
|
|
sum_result = {} |
|
|
rank_result = {} |
|
|
step, rank = '', '' |
|
|
for i in fs: |
|
|
f_name = '%s-result.csv' % i |
|
|
# print(f_name) |
|
|
with open(os.path.join(TARGET_DIR, f_name), 'rb') as f: |
|
|
rows = csv.reader(f) |
|
|
for r in rows: |
|
|
if r[0] in ('rank_no', 'All Result'): |
|
|
step = r[0] |
|
|
rank = r[1] |
|
|
continue |
|
|
if step == 'rank_no': |
|
|
if r[0] not in rank_result: |
|
|
rank_result[r[0]] = {} |
|
|
rank_result[r[0]][rank] = r[1].split(',') |
|
|
elif step == 'All Result': |
|
|
if not r[0]: |
|
|
continue |
|
|
if r[0] in sum_result: |
|
|
# print('exists:', r[1], '|', step, '|', rank) |
|
|
pass |
|
|
sum_result[r[0]] = r[1].split(',') |
|
|
# print(rank_result['C'].keys()) |
|
|
return { |
|
|
'sum': sum_result, 'rank': rank_result |
|
|
} |
|
|
|
|
|
|
|
|
def produce_s2_part1(sum_result): |
|
|
# create xxxx-1.csv |
|
|
for ii in xmodels.keys(): |
|
|
rows = [] |
|
|
rows.append([ii, ]) |
|
|
for i in ii: |
|
|
if i not in sum_result: |
|
|
continue |
|
|
rows.append([i, ','.join(sum_result[i])]) |
|
|
_f = '%s-1.csv' % ii |
|
|
create_csv(_f, rows, directory='part2') |
|
|
|
|
|
|
|
|
def produce_s2_part2(rank_result): |
|
|
# create xxxx-2.csv |
|
|
for ii in xmodels.keys(): |
|
|
rows = [] |
|
|
for rank in RANK_ORDER: |
|
|
# print(ii, ':rank:', rank) |
|
|
rows.append(['Rank#%s' % rank, 'rank', rank]) |
|
|
for i in ii: |
|
|
if i not in rank_result: |
|
|
continue |
|
|
if rank not in rank_result[i]: |
|
|
continue |
|
|
rows.append([i, ','.join(rank_result[i][rank])]) |
|
|
_f = '%s-2.csv' % ii |
|
|
create_csv(_f, rows, directory='part2') |
|
|
|
|
|
|
|
|
def process_lo_weight(): |
|
|
los = {} |
|
|
for i in fs: |
|
|
f_name = '%s-output.csv' % i |
|
|
with open(os.path.join(TARGET_DIR, f_name), 'rb') as f: |
|
|
rows = csv.reader(f) |
|
|
for r in rows: |
|
|
_los = r[1].split(',') |
|
|
for _l in _los: |
|
|
if _l not in los: |
|
|
los[_l] = {} |
|
|
if r[0] in los[_l]: |
|
|
# print('exists:', _l, ':', r[0], ' > ') |
|
|
# los[_l]['%s2' % r[0]] = r[2:] |
|
|
pass |
|
|
los[_l][r[0]] = r[2:] |
|
|
return los |
|
|
|
|
|
|
|
|
def produce_part3(sum_result, lo_weight): |
|
|
# produce part3 |
|
|
for ii in xmodels.keys(): |
|
|
rows = [] |
|
|
lo_xmodels = set() |
|
|
for i in ii: |
|
|
if i in sum_result: |
|
|
lo_xmodels = lo_xmodels.union(set(sum_result[i])) |
|
|
lo_xmodels = sorted(list(lo_xmodels)) |
|
|
for l in lo_xmodels: |
|
|
## build container to store sum of all weight |
|
|
lo_sum = [0 for k in xrange(0, 25)] |
|
|
if l not in lo_weight: |
|
|
continue |
|
|
for i in ii: |
|
|
if i not in lo_weight[l]: |
|
|
continue |
|
|
lo_sum = [ |
|
|
float(x) + float(y) for x, y |
|
|
in zip(lo_weight[l][i][9:], lo_sum)] |
|
|
rows.append([l] + lo_sum) |
|
|
|
|
|
_f = '%s-3.csv' % ii |
|
|
create_csv(_f, rows, directory='part2') |
|
|
|
|
|
|
|
|
def main(*argv): |
|
|
_r = process_s2_data() |
|
|
_lw = process_lo_weight() |
|
|
produce_s2_part1(_r['sum']) |
|
|
produce_s2_part2(_r['rank']) |
|
|
produce_part3(_r['sum'], _lw) |
|
|
|
|
|
|
|
|
if __name__ == '__main__': |
|
|
if len(sys.argv) > 1: |
|
|
main(sys.argv[1:]) |
|
|
else: |
|
|
main()
|
|
|
|
