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app.py
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app.py
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import pandas as pd
import numpy as np
import os.path
import os
import time
from tkinter import filedialog
from tkinter import *
import pyexcel
import pyexcel_xls
import pyexcel_xlsx
print("DIGITE O NÚMERO DE PLANILHAS PARA CONSULTA")
n = input()
while(n.isdigit()==False):
os.system('CLS')
print("ENTRADA DE DADOS INVÁLIDA, DIGITE UM NÚMERO.")
n = input()
n = int(n)
i = 0
while(i < n):
folder_selected = 'nan'
os.system('CLS')
print("SELECIONE A",i+1,"PLANILHA PARA ANÁLISE.")
print('')
time.sleep(1)
root = Tk()
root.withdraw()
folder_selected = filedialog.askopenfilename()
if(folder_selected.count('.csv')>0):
os.system('CLS')
print("CONVERTENDO PLANILHA .CSV PARA O FORMATO .XLSX")
print("AGUARDE, ESSE PROCESSO PODE DEMORAR UM POUCO...")
sheet = pyexcel.get_sheet(file_name=folder_selected, delimiter=";")
folder_selected = folder_selected.replace('.csv','.xlsx')
sheet.save_as(folder_selected)
while(folder_selected == ''):
os.system('CLS')
print("FALHA AO SELECIONAR ARQUIVO. POR FAVOR, SELECIONE O ARQUIVO DESEJADO NOVAMENTE.")
time.sleep(1)
root = Tk()
root.withdraw()
folder_selected = filedialog.askopenfilename()
if(folder_selected.count('.csv')>0):
os.system('CLS')
print("CONVERTENDO PLANILHA .CSV PARA O FORMATO .XLSX")
print("AGUARDE, ESSE PROCESSO PODE DEMORAR UM POUCO...")
sheet = pyexcel.get_sheet(file_name=folder_selected, delimiter=";")
folder_selected = folder_selected.replace('.csv','.xlsx')
sheet.save_as(folder_selected)
folder_divided = folder_selected.split('/')
nome = folder_divided[len(folder_divided)-1]
folder_divided = folder_selected.split('/')
nome = folder_divided[len(folder_divided)-1]
os.system('CLS')
print("GERANDO PLANILHA DE VIABILIDADE - DFV AL-BA-PB-PE-SE")
print("AGUARDE...")
info_workbook = folder_selected
initial_workbook = 'C://Users//adm//Downloads//dfv-viabilidade-pub//initial//dfvceps.xlsx'
output_workbook = 'C://Users//adm//Downloads//dfv-viabilidade-pub//output//VIABILIDADE-'+str(nome)
df_initial = pd.read_excel(initial_workbook)
df_info = pd.read_excel(info_workbook)
listanum = []
ceps = []
enderecos = []
CONTADOR = 0
if not 'CEP' in df_info.columns and not 'cep_1' in df_info.columns and not 'ceps' in df_info.columns and not 'cep' in df_info.columns:
os.system('CLS')
print("GERANDO COLUNA DE CEPS, AGUARDE...")
df_info.rename(columns={'endereco_1':'endereco'}, inplace=True)
endereco = df_info['endereco'].to_list()
tam = len(endereco)
s = 0
while(s < tam):
endereco[s] = str(endereco[s])
endereco[s] = endereco[s].replace('-','')
endereco[s] = endereco[s].replace('.','')
endereco[s] = endereco[s].replace(':',' ')
endereco[s] = endereco[s].replace(',',' ')
if(len(str(endereco[s])) < 5):
ceps.insert(CONTADOR,'')
CONTADOR = CONTADOR+1
if(len(str(endereco[s])) > 10):
enderecos = endereco[s].split()
k = len(enderecos)
j = 0
while(j < k):
if(enderecos[j].isdigit()==True):
listanum.insert(j,enderecos[j])
j = j+1
listanum = sorted(listanum, key=int, reverse=True)
listanum[0] = int(listanum[0])
ceps.insert(CONTADOR,listanum[0])
CONTADOR = CONTADOR+1
listanum = []
s = s+1
df_info.insert(1, "cep", ceps)
df_info.to_excel(folder_selected, index=False, sheet_name="Sheet1")
def pesquisa():
if('telcelular' in df_info.columns):
df_info.rename(columns={'CEP':'cep'}, inplace=True)
df_info.rename(columns={'cep_1':'cep'}, inplace=True)
df_info.rename(columns={'ceps':'cep'}, inplace=True)
df_3 = pd.merge(df_initial, df_info[['cep','cidade','nome','cpf','rg','telcelular','endereco']], on='cep', how='left')
df_3.dropna(subset=['nome'], inplace=True)
if('CLIENTE' in df_info.columns):
df_info.rename(columns={'CEP':'cep'}, inplace=True)
df_info.rename(columns={'cep_1':'cep'}, inplace=True)
df_info.rename(columns={'ceps':'cep'}, inplace=True)
df_3 = pd.merge(df_initial, df_info[['cep','Cidade','CLIENTE','CPF/CNPJ do cliente.','TELEFONE','ENDEREÇO']], on='cep', how='left')
df_3.dropna(subset=['CLIENTE'], inplace=True)
if('NOME' in df_info.columns):
df_info.rename(columns={'CEP':'cep'}, inplace=True)
df_info.rename(columns={'cep_1':'cep'}, inplace=True)
df_info.rename(columns={'ceps':'cep'}, inplace=True)
df_3 = pd.merge(df_initial, df_info[['cep','Cidade','NOME','CPF/CNPJ do cliente','TELCEL','ENDEREÇO']], on='cep', how='left')
df_3.dropna(subset=['NOME'], inplace=True)
if('contato_1' in df_info.columns):
df_info.rename(columns={'CEP':'cep'}, inplace=True)
df_info.rename(columns={'cep_1':'cep'}, inplace=True)
df_info.rename(columns={'ceps':'cep'}, inplace=True)
df_info.rename(columns={'endereco_1':'endereco'}, inplace=True)
df_3 = pd.merge(df_initial, df_info[['cep','documento','tipo_documento','nome','contato_1','endereco']], on='cep', how='left')
df_3.dropna(subset=['nome'], inplace=True)
if('DOC' in df_info.columns):
df_info.rename(columns={'CEP':'cep'}, inplace=True)
df_info.rename(columns={'cep_1':'cep'}, inplace=True)
df_info.rename(columns={'ceps':'cep'}, inplace=True)
df_3 = pd.merge(df_initial, df_info[['cep','cidade','nome','DOC','telefone','endereco']], on='cep', how='left')
df_3.dropna(subset=['nome'], inplace=True)
if('NOME_CONTATO_1' in df_info.columns):
df_info.rename(columns={'CEP':'cep'}, inplace=True)
df_info.rename(columns={'cep_1':'cep'}, inplace=True)
df_info.rename(columns={'ceps':'cep'}, inplace=True)
df_3 = pd.merge(df_initial, df_info[['cep','NOME_CONTATO_1','CNPJ','RAZAO_SOCIAL','LOGRADOURO','CIDADE','UF','COMPLEMENTO','BAIRRO','CONTATO_EMPRESA_1','CONTATO_SOCIO_1','CONTATO_EMPRESA_5','TERMINAL_CLIENTE']], on='cep', how='left')
df_3.dropna(subset=['NOME_CONTATO_1'], inplace=True)
if('contato' in df_info.columns):
df_info.rename(columns={'CEP':'cep'}, inplace=True)
df_info.rename(columns={'cep_1':'cep'}, inplace=True)
df_info.rename(columns={'ceps':'cep'}, inplace=True)
df_3 = pd.merge(df_initial, df_info[['cpf','cep','nome','endereco','contato']], on='cep', how='left')
df_3.dropna(subset=['contato'], inplace=True)
df_3.to_excel(output_workbook, index=False)
os.system('CLS')
pesquisa()
print("GERANDO PLANILHA DE VIABILIDADE - DFV MG")
print("AGUARDE...")
initial_workbook = 'C://Users//adm//Downloads//dfv-viabilidade-pub//initial//dfvcepsmg.xlsx'
output_workbook = 'C://Users//adm//Downloads//dfv-viabilidade-pub//output//VIABILIDADE-MG-'+str(nome)
df_initial = pd.read_excel(initial_workbook)
pesquisa()
i = i+1
print("OPERAÇAO CONCLUÍDA COM SUCESSO. AS PLANILHAS ESTÃO ARMAZENADAS NAS PASTA 'OUTPUT'")
time.sleep(5)