return date_list
import multiprocessing
if __name__ == '__main__':
logger.info(msg=u"》》》》》开始进程《《《《《")
date_list = np.loadtxt("daterange.npy", dtype=str, delimiter=',').tolist()
# 筛掉完成的数据
try:
date_list = verify_stop_status(date_list, 0)
# 从未完成的方法开始调用
model.find_nofinish(lis, 'alpha101')
except Exception as e:
logger.error(msg=u'发生异常>>>>%s' % e)
# cc_alpha101_data(date_list)
len_datelist = len(date_list)
per = len_datelist // 100
try:
logger.info(msg=u"》》》》》》开始多线程《《《《《《")
logger.info(u"开始执行循环完成指定时间区间的alpha因子值计算")
for i in range(0, len_datelist, 100):
thread_list = []
if i >= 100 * per:
logger.info(u"时间范围为{}-{}".format(date_list[i],
date_list[len_datelist]))
for task in date_list[i:len_datelist]:
th = threading.Thread(target=cc_alpha101_data,
args=([
day = self.two_num_transfer(rawday)
return year + '-' + month + '-' + day
except Exception, e:
L.exc(e)
elif self.cid == 8:
try:
sl = self.raw_date.strip().split(' ')
year = sl[-1]
month = self.month_transfer(sl[-2])
rawday = sl[-3]
day = self.two_num_transfer(rawday)
return year + '-' + month + '-' + day
except Exception, e:
L.exc(e)
else:
L.error('No such site[%s] in func month_transfer' % self.cid)
# 站点编码
def cidTransfer(con):
if con == 'www.amazon.com':
return 1
elif con == 'www.amazon.co.uk':
return 2
elif con == 'www.amazon.ca':
return 3
elif con == 'www.amazon.co.jp':
return 4
elif con == 'www.amazon.de':
return 5
elif con == 'www.amazon.fr':