def get_data_allocate(strategy, data_type):
dd = Calendar.today()
a = Calendar.in_business(dd, day=True)
if (a == False):
print('非工作日！')
exit(0)
t1 = time.clock()
print(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())))
command = "python {}\daily_{}_{}.py".format(project_dir, data_type,
strategy)
list = []
if (strategy == 'min5'):
list = get_min5_time()
if (strategy == 'min15'):
list = get_min15_time()
if (strategy == 'min30'):
list = get_min30_time()
if (strategy == 'min60'):
list = get_min60_time()
if (strategy == 'day'):
list = get_day_time()
print(strategy)
while True:
# if in_business(datetime.now(), strategy, True):
x = datetime.now().hour * 60 + datetime.now().minute
# print ( datetime.now().hour,datetime.now().minute)
# print(x)
# if(x>list[-1]):
if (x > list[-1]):
print(list[-1])
print('收盘！')
exit(0)
if (x == 11 * 60 + 45):
print('上午结束')
exit(0)
if (x in list):
print('finded')
t1 = time.clock()
subprocess.call(command, shell=True)
t3 = time.strftime('%Y-%m-%d %H:%M:%S',
time.localtime(time.time()))
print(t3)
dit = {'date': t3, 'status': 1, 'kline': strategy, 'other': ''}
model_list['kline_data_update_mark'].insert(dit)
t2 = time.clock()
a = (change_status(strategy)['time']) - ((t2 - t1) / 60)
print(a)
if (a > 0):
time.sleep(a * 60)
print('睡眠结束')
else:
print('finding:')
time.sleep(10)
def get_kline_data(strategy):
"""
this function acts on kline
first get all stock code
then call the function named get_kline by multiprocessing
:param strategy:
:return:
"""
dd = Calendar.today()
if not Calendar.in_business(dt=Calendar.today(), day=True):
exit()
print('kline_in')
# t = Calendar.today()
st = None
et = None
t = Calendar.today()
if Calendar().query(date=t):
mm = ['sh', 'sz']
#cc = ['day', 'min60', 'min30', 'min15', 'min5']
cc = [strategy]
strategy = 'kline_' + strategy
s = list()
for m in mm:
sl = get_stock_code_list(markets[m])
num = 50
aa = (lambda a: map(lambda b: a[b:b + num], range(0, len(a), num))
)(sl)
for a in aa:
for k in cc:
s.append(
dict(market=m,
category=k,
stock_code_list=a,
start_date=st,
end_date=et))
# if st == None and et == None:
# model_list[strategy].remove(date=t)
# else:
# sql = analyzer('date >= {} and date <= {}'.format(st, et))
# model_list[strategy].remove(sql)
pool = multiprocessing.Pool(processes=10)
for i in s:
pool.apply_async(gt_kline, (i, ))
pool.close()
pool.join()
# for i in s:
# gt_kline(i)
# model_list[strategy].remove(volume=0)
print('-----------------' + str())
print('kline_done')
# -*- coding: utf-8 -*-
from os.path import abspath, pardir, join
from sys import path
from app import markets
from app.models import Calendar
from app.actions import get_stock_code_list, get_xdxr
path.append(abspath(join(abspath(join(abspath(__file__), pardir)), pardir)))
if __name__ == '__main__':
if not Calendar.in_business(dt=Calendar.today(), day=True):
exit()
start_date = None
end_date = None
stock_code_list = []
for m in ['sh', 'sz']:
stock_code_list = get_stock_code_list(market=markets[m])
get_xdxr(market_name=m,
stock_code_list=stock_code_list,
start_date=start_date,
end_date=end_date)
def gt(*args):
_ = args[0]
obj = model_list['XDXR_' + _['category']]
obj.insert_batch(
calc_xdxr_specified(stock_code_list=_['stock_code_list'],
category_name=_['category'],
start_date=_['start_date'],
end_date=_['end_date']))
# calc_xdxr_specified(stock_code_list=[600015], category_name=_['category'], start_date=_['start_date'],
# end_date=_['end_date'])
if __name__ == '__main__':
d = Calendar.today()
if not Calendar.in_business(dt=d, day=True):
print('not_ok')
exit()
print('0000')
strategy = 'XDXR_day' # day_XDXR ���ܸIJ��ܸIJ��ܸ�Ӵ
try:
print('in')
mm = ['sz', 'sh']
s = list()
sd = None
ed = None
for m in mm:
sl = get_stock_code_list(markets[m])
num = 10
aa = (lambda a: map(lambda b: a[b:b + num], range(0, len(a), num))
)(sl)