def insert_cnstock_fina():
daystr = util.get_today_datestr()
cndaystr = util.date_us2cn(daystr)
stkdao = cdao.cnstock_item_dao()
stocklist = stkdao.get_all_tscode()
list = ctu.read_cnstock_fina(stocklist, cndaystr)
fina_dao = cdao.dao_cnstock_fina()
fina_dao.add_oneItemEachTime(list)
def insert_cnstock_fina2():
daystr = util.get_today_datestr()
cndaystr = util.date_us2cn(daystr)
stkdao = cdao.cnstock_item_dao()
sfadao = cdao.dao_cnstock_fina()
stocklist = stkdao.get_all_tscode()
existinglist = sfadao.get_existing_tscodelist()
print('start fina2 insert...')
for ts_code in stocklist:
ts_code = ts_code.strip()
if ts_code not in existinglist:
list = ctu.read_cnstock_finaone(ts_code, cndaystr)
sfadao.add_cnstock_fina(list)
def ann_predict_cn(filepath):
#model = ann.create_gru_model()
#model.load_weights(filepath)
model = ann.load_mymodel(filepath)
rs = ann.predict_model_cn(model)
pred = rs[0]
sym = rs[1]
list = []
for i in range(0, len(pred)):
item = cstk.Stock_predict()
item.symbol = str(sym[i])
item.trade_date = get_latestdatefromdaily_cn(item.symbol)
item.cal_date = util.get_today_datestr()
item.result = util.toFloat(pred[i])
item.comment = 'GRU drop 0.4'
list.append(item)
insert_predictresult_cn(list)
def save_model2(model, filename):
mdf = filename+"_"+util.get_today_datestr()+"_model.h5"
wtf = filename+"_"+util.get_today_datestr()+"_weight.h5"
model.save_weights(wtf, overwrite=True)
model.save(mdf)
def insert_alldaily_today():
todaystr = util.get_today_datestr()
insert_alldaily_oneday_us(todaystr)
insert_alldaily_oneday_cn(todaystr)
def us_add_today():
todaystr = util.get_today_datestr()
serv.insert_alldaily_oneday_us(todaystr)