def get_days_data(days=0):
rzrq_status=1
# data=''
da=0
while rzrq_status:
for x in range(0,20):
yestoday=cct.last_tddate(x).replace('-','/')
data2=get_tzrq(url,yestoday)
if len(data2)>0:
if da ==days and days==0:
break
elif da > days:
break
da+=1
# print da
else:
log.info("%s:%s"%(yestoday,data2))
rzrq_status=0
log.info("%s:%s"%(yestoday,data2))
return data2
def get_days_data(days=1):
rzrq_status = 1
# data=''
da = 0
i = 0
while rzrq_status:
for x in range(days, 20):
yestoday = cct.last_tddate(x).replace('-', '/')
data2 = get_tzrq(url, yestoday)
log.info("yestoday:%s data:%s" % (yestoday, data2))
if len(data2) > 0:
i += 1
# if da ==days and days==0:
# i +=1
# if i >= days-1:
break
# elif da > days:
# break
# else: da+=1
# print da
else:
log.info("%s:%s" % (yestoday, data2))
rzrq_status = 0
return data2
# blkname = '062.blk'
blkname = '061.blk'
block_path = tdd.get_tdx_dir_blocknew() + blkname
status_change = False
lastpTDX_DF = pd.DataFrame()
# dl=60
ptype = 'high'
lastp = False
newdays = 30
# op, ra, duration_date, days = pct.get_linear_model_status('999999', filter='y', dl=dl, ptype=ptype, days=1)
# duration_date = ct.duration_date
duration_date = ct.duration_date_l
du_date = duration_date
# print cct.last_tddate(2)
# end_date = cct.last_tddate(days=int(duration_date/4))
end_date = cct.last_tddate(days=ct.lastdays)
ptype = 'high'
filter = 'y'
if len(str(duration_date)) < 4:
# duration_date = tdd.get_duration_price_date('999999', dl=duration_date, end=end_date, ptype='dutype')
du_date = tdd.get_duration_Index_date('999999', dl=duration_date)
if cct.get_today_duration(du_date) <= 3:
duration_date = 5
print("duaration: %s duration_date:%s" %
(cct.get_today_duration(du_date), duration_date))
log.info("duaration: %s duration_date:%s" %
(cct.get_today_duration(du_date), duration_date))
set_duration_console(du_date)
percent_status = 'n'
# all_diffpath = tdd.get_tdx_dir_blocknew() + '062.blk'
parser = cct.MoniterArgmain()
type = ct.json_countType
# cut_num=10000
success = 0
top_all = pd.DataFrame()
time_s = time.time()
# delay_time = 3600
delay_time = cct.get_delay_time()
First = True
# base_path = tdd.get_tdx_dir()
# block_path = tdd.get_tdx_dir_blocknew() + '067.blk'
# blkname = '067.blk'
blkname = '063.blk'
block_path = tdd.get_tdx_dir_blocknew() + blkname
lastpTDX_DF = pd.DataFrame()
duration_date = ct.duration_date_l
end_date = cct.last_tddate(days=3)
# all_diffpath = tdd.get_tdx_dir_blocknew() + '062.blk'
market_sort_value = ct.Market_sort_idx['1']
market_sort_value_key = eval(market_sort_value + '_key')
while 1:
try:
# top_now = tdd.getSinaAlldf(market='sh', vol=ct.json_countVol, vtype=ct.json_countType)
time_Rt = time.time()
# top_now = tdd.getSinaAlldf(market='次新股',filename='cxg', vol=ct.json_countVol, vtype=ct.json_countType)
top_now = tdd.getSinaAlldf(market='cyb',
filename=None,
vol=ct.json_countVol,
vtype=ct.json_countType)
# print top_now.loc['300208','name']
df_count = len(top_now)
now_count = len(top_now)