natural keys

# -*- coding: utf-8 -*-
import os
import unicodedata
from collections import defaultdict, Counter
from operator import itemgetter, attrgetter

local = os.path.dirname(__file__)
file_imput = local + '/natural_keys_scl.csv'
file_out = local + '/natural_keys_output.csv'

def remove_accents(input_str):
    nfkd_form = unicodedata.normalize('NFKD', input_str)
    only_ascii = str(nfkd_form.encode('ASCII', 'ignore'), 'utf-8')
    only_ascii = only_ascii.replace('\n', '')
    return only_ascii

def getDataFile(file= file_imput):
    file = open(file, 'r')
    contents = file.readlines()
    line = 1
    list_data = []
    while line < len(contents):
        record ={}
        num_cell = 0
        for cell in contents[0].split(','):
            cell = remove_accents(input_str= cell)
            record[cell] = str(contents[line]).split(',')[num_cell].replace('\n','')
            num_cell += 1
        line += 1
        list_data.append(record)
    return list_data

def group_dict(lista=[], chave=''):
    clave_natural = itemgetter(chave)
    d = defaultdict(list)
    for record in dataFile:
        key = clave_natural(record)
        d[key].append(record)
    return d

def count_record(group=[], unique=True):
    for key in group.keys():
        count_record = len(group[key])
        if count_record != 1 and not unique:
            print('chave_natural %s exist %s record' %(key, count_record))
        elif unique:
            print('chave_natural %s unique record' %(key))

def saveFile(lista= [], file= file_out):
    file = open(file, "w")
    [file.write(str(record)) for record in lista]
    file.close()

dataFile = getDataFile(file= file_imput)

filter = [record for record in dataFile if record['first page'] == '' or record['last page'] == '']
group = group_dict(lista= dataFile, chave= 'chave natural')
count_record(group= group, unique=True)
count_record(group= group, unique=False)
saveFile(lista= filter, file= file_out)