def get_dfcfw_fund_SHSZ(url=ct.DFCFW_ZS_SHSZ):
data = cct.get_url_data_R(url)
# vollist=re.findall('{data:(\d+)',code)
vol_l=re.findall('\"([\d\D]+?)\"',data)
dd={}
# print vol_l
# print len(vol_l)
if len(vol_l)==2:
# for x in range(len(vol_l):
data=vol_l[0].split(',')
data2=vol_l[1].split(',')
if len(data[3]) >2:
dd['svol']=round(float(data[3])/100000000,1)
dd['zvol']=round(float(data2[3])/100000000,1)
else:
dd['svol']=data[3]
dd['zvol']=data2[3]
# print data[3],data2[3]
dd['scent']=data[5]
dd['sup']=data[6].split('|')[0]
dd['zcent']=data2[5]
dd['zup']=data2[7].split('|')[0]
df=get_zs_VolRatio()
if len(df['amount'])>0:
radio_t = cct.get_work_time_ratio()
# print radio_t
# print df.loc['999999','amount']
# print type(dd['svol'])
log.debug("type:%s radio_t:%s"%(type(dd['svol']),radio_t))
if isinstance(dd['svol'],str) and dd['svol'].find('-')==0:
log.info("svol:%s"%dd['svol'])
else:
dd['svol']="%s->%s"%((dd['svol'],round(dd['svol']/(df.loc['999999','amount']/10000000)/radio_t,1)))
dd['zvol']="%s->%s"%((dd['zvol'],round(dd['zvol']/(df.loc['399001','amount']/10000000)/radio_t,1)))
# dd['zzb']=data[1]
# dd['sjlr']=data[2]
# dd['sjzb']=data[3]
# dd['time']=vol_l[1]
else:
log.info("Fund_f NO Url:%s"%url)
return dd
block_path = tdd.get_tdx_dir_blocknew() + '062.blk'
status_change = False
# all_diffpath = tdd.get_tdx_dir_blocknew() + '062.blk'
while 1:
try:
# df = sina_data.Sina().all
df = rl.get_sina_Market_json('all')
top_now = rl.get_market_price_sina_dd_realTime(df, vol, type)
# print top_now.loc['300208','name']
# top_now.to_hdf("testhdf5", 'marketDD', format='table', complevel=9)
df_count = len(df)
now_count = len(top_now)
del df
gc.collect()
radio_t = cct.get_work_time_ratio()
time_Rt = time.time()
# top_now = top_now[top_now.buy > 0]
time_d = time.time()
if time_d - time_s > delay_time:
status_change = True
time_s = time.time()
top_all = pd.DataFrame()
else:
status_change = False
# print ("Buy>0:%s" % len(top_now[top_now['buy'] > 0])),
if len(top_now) > 10 or cct.get_work_time():
# if len(top_now) > 10 and len(top_now[:20][top_now[:20]['buy'] > 0]) > 3:
# if len(top_now) > 10 and not top_now[:1].buy.values == 0:
# top_now=top_now[top_now['percent']>=0]
if len(top_all) == 0:
# df = sina_data.Sina().all
# top_now = tdd.getSinaAlldf(market='cx', vol=ct.json_countVol, type=ct.json_countType)
# top_now = tdd.getSinaAlldf(market='次新股',filename='cxg', vol=ct.json_countVol, type=ct.json_countType)
time_Rt = time.time()
top_now = tdd.getSinaAlldf(market='雄安特区',
filename='xatq',
vol=ct.json_countVol,
type=ct.json_countType)
# top_now = tdd.getSinaAlldf(market=u'新股与次新股',filename='cxg', vol=ct.json_countVol, type=ct.json_countType)
# top_now = tdd.getSinaAlldf(market='混改', filename='mnbk',vol=ct.json_countVol, type=ct.json_countType)
# top_dif = top_now
# top_now.to_hdf("testhdf5", 'marketDD', format='table', complevel=9)
now_count = len(top_now)
radio_t = cct.get_work_time_ratio()
# top_now = top_now[top_now.buy > 0]
time_d = time.time()
if time_d - time_s > delay_time:
status_change = True
time_s = time.time()
top_all = pd.DataFrame()
else:
status_change = False
# print ("Buy>0:%s" % len(top_now[top_now['buy'] > 0])),
if len(top_now) > 10 or cct.get_work_time():
time_Rt = time.time()
if len(top_all) == 0 and len(lastpTDX_DF) == 0:
cct.get_terminal_Position(position=sys.argv[0])
time_Rt = time.time()
def get_dfcfw_fund_SHSZ(url=ct.DFCFW_ZS_SHSZ):
# sina = Sina()
dd = Sina().get_stock_code_data('999999,399001',index=True)
# sh = dd[dd.index == '000001']
sh = dd[dd.index == '999999']
if len(sh) >0 and not sh.name.values[0] == '上证指数':
log.error('sh data is error')
sz = dd[dd.index == '399001']
if len(sh) == 0 or len(sz) == 0:
data = cct.get_url_data_R(url,timeout=15)
log.info("url:%s"%(url))
# vollist=re.findall('{data:(\d+)',code)
vol_l = re.findall('\"([\d\D]+?)\"', data)
dd = {}
# print vol_l
# print len(vol_l)
if len(vol_l) == 2:
# for x in range(len(vol_l):
data = vol_l[0].split(',')
data2 = vol_l[1].split(',')
# print data[3],data2[3],len(data[3]),len(data2[3])
if len(data[3]) > 2 and len(data2[3]) > 2 :
dd['svol'] = round(float(data[3]) / 100000000, 1)
dd['zvol'] = round(float(data2[3]) / 100000000, 1)
else:
dd['svol'] = data[3]
dd['zvol'] = data2[3]
# print data[3],data2[3]
dd['scent'] = data[5]
dd['sup'] = data[6].split('|')[0]
dd['zcent'] = data2[5]
dd['zup'] = data2[7].split('|')[0]
df = get_zs_VolRatio()
if len(df['amount']) > 0:
radio_t = cct.get_work_time_ratio()
# print radio_t
# print df.loc['999999','amount']
# print type(dd['svol'])
log.debug("type:%s radio_t:%s" % (type(dd['svol']), radio_t))
if isinstance(dd['svol'], str) and dd['svol'].find('-') == 0:
log.info("svol:%s" % dd['svol'])
else:
svol_r = round(
dd['svol'] / (df.loc['999999', 'amount'] / 10000000) / radio_t, 1)
svol_v = round(
svol_r * (df.loc['999999', 'amount'] / 10000000), 1)
zvol_r = round(
dd['zvol'] / (df.loc['399001', 'amount'] / 10000000) / radio_t, 1)
zvol_v = round(
svol_r * (df.loc['399001', 'amount'] / 10000000), 1)
dd['svol'] = "%s-%s-%s" % ((dd['svol'], svol_v, svol_r))
dd['zvol'] = "%s-%s-%s" % ((dd['zvol'], zvol_v, zvol_r))
# dd['zzb']=data[1]
# dd['sjlr']=data[2]
# dd['sjzb']=data[3]
# dd['time']=vol_l[1]
else:
log.info("Fund_f NO Url:%s" % url)
else:
dd = {}
# print vol_l
# print len(vol_l)
#var C1Cache={quotation:["0000011,上证指数,3113.18,121762623488,4.41,0.14%,463|197|656|143,536|280|1187|217","3990012,
#深证成指,9816.71,145863270400,-10.08,-0.10%,463|197|656|143,536|280|1187|217"]}
if len(sh) == 1 and len(sz) == 1:
dd['svol'] = round(float(sh.turnover) / 100000000, 1)
dd['zvol'] = round(float(sz.turnover) / 100000000, 1)
# print data[3],data2[3]
dd['scent'] = str(round((sh.close[0] - sh.llastp[0]) / sh.llastp[0] *100,2))+'%'
dd['sup'] = round((sh.close[0] - sh.llastp[0]),2)
dd['zcent'] = str(round((sz.close[0] - sz.llastp[0]) / sz.llastp[0] *100,2))+ '%'
dd['zup'] = round((sz.close[0] - sz.llastp[0]),2)
df = get_zs_VolRatio()
if len(df['amount']) > 0:
radio_t = cct.get_work_time_ratio()
# print radio_t
# print df.loc['999999','amount']
# print type(dd['svol'])
svol_r = round(
dd['svol'] / (df.loc['999999', 'amount'] / 10000000) / radio_t, 1)
svol_v = round(
svol_r * (df.loc['999999', 'amount'] / 10000000), 1)
zvol_r = round(
dd['zvol'] / (df.loc['399001', 'amount'] / 10000000) / radio_t, 1)
zvol_v = round(
svol_r * (df.loc['399001', 'amount'] / 10000000), 1)
dd['svol'] = "%s-%s-%s" % ((dd['svol'], svol_v, svol_r))
dd['zvol'] = "%s-%s-%s" % ((dd['zvol'], zvol_v, zvol_r))
return dd
