Created
March 10, 2020 01:41
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import requests | |
import csv | |
import json | |
from datetime import datetime | |
import locale | |
locale.setlocale(locale.LC_ALL, 'pt_BR.UTF-8') | |
def extract_cpf_mesano(row): | |
cpf = row['CPF'].strip() | |
mes_ano = row['Mês / Ano de pagamento'].strip() | |
if not cpf or not mes_ano: | |
return None, None | |
fmt_mes_ano = datetime.strptime(mes_ano, '%b %Y').strftime('%Y%m') | |
return cpf, fmt_mes_ano | |
def extract_codigo_07(rubricas): | |
if len(rubricas) != 0: | |
cod = [i for i in rubricas if i['codigo'] == '07'][0] | |
return cod['valorFormatado'] | |
return '' | |
_f = open('new.csv', 'r') | |
reader = csv.DictReader(_f) | |
# url = 'http://www.transparencia.gov.br/api-de-dados/servidores?cpf={cpf}' | |
url = 'http://www.transparencia.gov.br/api-de-dados/servidores/remuneracao/?cpf={cpf}&mesAno={mes_ano}' | |
file = open('results_transparencia.csv', 'w+') | |
csvWriter = csv.DictWriter(file, fieldnames=['cpf', 'nome', 'salario_bruto', 'valor_formatado', 'status']) | |
csvWriter.writeheader() | |
results = {} | |
relactory = {} | |
try: | |
for row in reader: | |
mes_ano = row['ANO_MES'] | |
cpf = row['CPF'] | |
resp = requests.get(url.format(cpf=cpf, mes_ano=mes_ano)) | |
relactory[cpf] = { | |
'status': resp.status_code, | |
'content': resp.json() | |
} | |
nome = '' | |
sal = '' | |
cod = '' | |
if len(resp.json()) != 0 and resp.status_code == 200: | |
nome = resp.json()[0]['servidor']['pessoa']['nome'] | |
if len(resp.json()[0]['remuneracoesDTO']) != 0: | |
sal = resp.json()[0]['remuneracoesDTO'][0]['remuneracaoBasicaBruta'] | |
cod = extract_codigo_07(resp.json()[0]['remuneracoesDTO'][0]['rubricas']) | |
csvWriter.writerow({'cpf': cpf, 'nome': nome, 'status': resp.status_code, 'valor_formatado': cod, 'salario_bruto': sal}) | |
except: | |
with open('relactory.json', 'w+') as _f: | |
_f.write(json.dumps(relactory)) | |
raise |
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