from GF_fundo import Fundo
from datetime import date, timedelta
from csv import writer as csvwriter
if __name__ == '__main__':
csv_delimiter = ';'
quote_char = '"'
interval = 20 # years
# Last 20 years interval
iniDate = date.today() - timedelta(days= 365 * interval)
endDate = date.today()
with open('FUNDOS.csv','wb') as f:
arqcsv = csvwriter(f, delimiter=csv_delimiter,quotechar=quote_char)
for idfundo in Fundo.FUNDS:
fundoatual = Fundo(idfundo)
fundoatual.updatePrices(iniDate, endDate)
data = [ ( [idfundo, x] + y ) for x,y in fundoatual.prices.items() ]
data = sorted(data,key=lambda x: x[1])
arqcsv.writerows(data)
print("Download %s successful!" % ( idfundo ))
# Last 20 years interval
iniDate = date.today() - timedelta(days=interval)
endDate = date.today()
with open('FUNDOS_GF_QUICKEN.csv','wb') as f:
arqcsv = csvwriter(f, delimiter=csv_delimiter,quotechar=quote_char)
fundsToDownload = (
'FUNDO GERACAO DIVIDENDOS FIA',
'FUNDO GERACAO FIC DE FI REFERENCIADO DI',
'FUNDO GERACAO PROGRAMADO FIA',
)
for idfundo in fundsToDownload:
print("Downloading %-40s... " % ( idfundo ),end='')
fundoatual = Fundo(idfundo)
if fundoatual.updatePrices(iniDate, endDate):
fundoatual.updateToday()
data = [ ( [ 'GF_' + str(Fundo.FUNDS[idfundo]), qdate.strftime("%d/%m/%Y"), qvalue, qvolume] )
for qdate,(qvalue,qvolume) in fundoatual.prices.items() ]
arqcsv.writerows(data)
print("success!")
else:
print("ERROR!")
