def cron_b3_memory():
"""
Funcao que prioriza o uso limitado da memoria.
"""
# Limpa a Base
Quotes.objects.filter(market='BOVESPA').delete()
download_hquotes(ibrx_tickers)
# Limpa a Base
PairStats.objects.filter(market='BOVESPA').delete()
bulk_list = []
for idx, pair in enumerate(gera_pares(ibrx_tickers)):
obj = b3_producer(idx, pair)
bulk_list.append(obj)
if len(bulk_list) > 1000:
# Grava dados no Banco
PairStats.objects.bulk_create(bulk_list)
# Libera a memória
del bulk_list
bulk_list = []
# Grava dados no Banco
PairStats.objects.bulk_create(bulk_list)
# Telegram
send_msg()
def matriz_pares():
def pega_datas():
""" TODO: Melhorar """
df = Quotes.objects.get(ticker='BTCUSDT').get_series().index
df2 = df[df > date(2019, 8, 17)]
df3 = df2[df2 < date(2020, 8, 17)]
#df2 = df[df > date(2020, 1, 1)] # DEBUG
return df3
return pd.DataFrame(10000, pega_datas(), gera_pares(BINANCE_FUTURES))
def cron_binance():
# Limpa a Base
Quotes.objects.filter(market='BINANCE').delete()
download_hquotes_binance()
# Limpa a Base
PairStats.objects.filter(market='BINANCE').delete()
bulk_list = []
for idx, pair in enumerate(gera_pares(BINANCE_FUTURES)):
obj = binance_producer(idx, pair)
bulk_list.append(obj)
# Grava dados no Banco
PairStats.objects.bulk_create(bulk_list)
def dados_binance():
# Limpa a Base
PairStats.objects.filter(market='BINANCE').delete()
pares_list = gera_pares(BINANCE_FUTURES)
for refdate, plist in matriz_pares().iterrows():
bulk_list = []
for pair in plist.index:
#print(refdate, pair)
obj = calcula_modelo(refdate, pair)
bulk_list.append(obj)
# Grava dados no Banco
print('bulk', refdate)
PairStats.objects.bulk_create(bulk_list)
def cron_b3():
# Limpa a Base
Quotes.objects.filter(market='BOVESPA').delete()
download_hquotes(ibrx_tickers)
# Limpa a Base
PairStats.objects.filter(market='BOVESPA').delete()
with Pool(2) as p:
bulk_list = p.starmap(b3_producer, enumerate(gera_pares(ibrx_tickers)))
# Grava dados no Banco
PairStats.objects.bulk_create(bulk_list)
# Telegram
send_msg()
def cron_b3():
"""
Funcao bastante rapida, porem usa muita memoria do Heroku (640Mb / 512Mb)
"""
# Limpa a Base
Quotes.objects.filter(market='BOVESPA').delete()
download_hquotes(ibrx_tickers)
# Limpa a Base
PairStats.objects.filter(market='BOVESPA').delete()
with Pool(2) as p:
bulk_list = p.starmap(b3_producer, enumerate(gera_pares(ibrx_tickers)))
# Grava dados no Banco
PairStats.objects.bulk_create(bulk_list)
# Telegram
send_msg()