# importing pandas as pd
import os
from collections import defaultdict
import pandas as pd
import numpy as np
import openpyxl
import time
from pandas import Index
from docxtpl import DocxTemplate
from calendar import monthrange
import datetime
import calendar
import logging
import platform

plat = platform.system().lower()

if __name__ == '__main__':
    payerId = '563347375094'
    aws_feb = {}
    read_file = "/server/billing/daimler/config/aws_feb.csv"
    if plat == 'windows':
        read_file = 'E:\\workspace_2\\施耐德\\daimler\\config\\aws_feb.csv'
    total = 0
    with open(read_file, 'r', encoding='utf-8') as r:  # open(alterpath, 'w', encoding='utf-8') as w:
        num = 0
        while True:
            line = r.readline()
            if not line:
                break
            num += 1
            data = line.split(',')
            payer = data[0].replace(' ', '')
            linkedAccountId = data[1].replace(' ', '')
            if len(linkedAccountId) == 10:
                linkedAccountId = "00" + linkedAccountId
            elif len(linkedAccountId) == 9:
                linkedAccountId = "000" + linkedAccountId
            elif len(linkedAccountId) == 8:
                linkedAccountId = "0000" + linkedAccountId
            elif len(linkedAccountId) == 7:
                linkedAccountId = "00000" + linkedAccountId
            elif len(linkedAccountId) == 6:
                linkedAccountId = "000000" + linkedAccountId
            elif len(linkedAccountId) == 11:
                linkedAccountId = "0" + linkedAccountId
            unBlendedCost = data[2].replace('\n', '')
            if not payer in payerId:
                continue
            aws_feb[linkedAccountId] = unBlendedCost
            total += float(unBlendedCost)
            aws_feb["total"] = total
    print(aws_feb)
# if __name__ == '__main__':
#         costs_maps = {}
#         read_file = os.path.join('E:\\workspace_2\\施耐德\\costs\\', "563347375094.csv")
#         linkaccountIds = []
#         unBlendedCosts = []
#         with open(read_file, 'r', encoding='utf-8') as r:  # open(alterpath, 'w', encoding='utf-8') as w:
#             num = 0
#             while True:
#                 line = r.readline()
#                 if not line:
#                     break
#                 data = line[1:-2].split('","')
#                 num += 1
#                 if ('"关联账户' in data) or '关联账户' in data:
#                     linkaccountIds = data
#                 if ('"关联账户 总计' in data) or ('关联账户 总计' in data):
#                     unBlendedCosts = data
#         person = []
#         for index, i in enumerate(linkaccountIds):
#             if i == '' or '关联账户' in i:
#                 continue
#             costs_maps[i] = unBlendedCosts[index]
#             if len(i)==11:
#                 line = ['0'+i, unBlendedCosts[index]]
#             elif len(i)==10:
#                 line = ['00'+i, unBlendedCosts[index]]
#             elif len(i) == 9:
#                 line = ['000' + i, unBlendedCosts[index]]
#             elif len(i) == 8:
#                 line = ['0000' + i, unBlendedCosts[index]]
#             elif len(i) == 7:
#                 line = ['00000' + i, unBlendedCosts[index]]
#             elif len(i) == 6:
#                 line = ['000000' + i, unBlendedCosts[index]]
#             person.append(line)