if status:
for code in top_dd[:10].index:
code = re.findall('(\d+)', code)
if len(code) > 0:
code = code[0]
kind = sl.get_multiday_ave_compare_silent(code)
# print top_all[top_all.low.values==0]
# else:
# print "\t No RealTime Data"
else:
print "\tNo Data"
int_time = cct.get_now_time_int()
if cct.get_work_time():
if int_time < ct.open_time:
cct.sleep(ct.sleep_time)
elif int_time < 930:
cct.sleep((930 - int_time) * 55)
# top_all = pd.DataFrame()
time_s = time.time()
else:
cct.sleep(ct.duration_sleep_time)
elif cct.get_work_duration():
while 1:
cct.sleep(ct.duration_sleep_time)
if cct.get_work_duration():
print ".",
cct.sleep(ct.duration_sleep_time)
else:
# top_all = pd.DataFrame()
cct.sleeprandom(60)
# op, ra, st, days = get_linear_model_status(args.code, dtype=args.dtype, start=cct.day8_to_day10(
# args.start), end=cct.day8_to_day10(args.end), filter=args.filter, dl=args.dl)
# print "code:%s op:%s ra/days:%s start:%s" % (code, op, str(ra) + '/' + str(days), st)
# 'ra * fibl + rah*(abs(int(%s)-fibl))/fib +ma +kdj+rsi'
boll,kdj,macd,rsi,ma,bollCT = getab.get_All_Count(args.code,dl=args.dl,start=start, end=end,days=ct.Power_Ma_Days,lastday=args.days)
# print ""
# print "ral,opl,fibl,oph,rah,fib,kdj,macd,rsi,ma=",ral,opl,fibl,oph,rah,fib,kdj,macd,rsi,ma
# ra, fibl,rah,fib,ma,kdj,rsi
# for x in [boll,kdj,macd,rsi,ma,bollCT,ra,fibl,rah,`]:
# print type(x),x
# print args.dl,ra,fibl,rah,op
# print ra * fibl + rah*(abs(int(args.dl)-fibl))/fib +ma +kdj+rsi
diff=eval(ct.powerdiff%(ct.linePowerCountdl))
print "Diff:%.1f"%(diff)
cct.sleep(0.1)
# ts=time.time()
# time.sleep(5)
# print "%0.5f"%(time.time()-ts)
elif code.lower() == 'q' or code.lower() == 'quit' or code.lower() =='exit':
sys.exit(0)
elif code == 'h' or code == 'help':
parser.print_help()
else:
pass
except (KeyboardInterrupt) as e:
# print "key"
print "KeyboardInterrupt:", e
except (IOError, EOFError, Exception) as e:
# print cct.format_for_print(top_all[:10])
if status:
for code in top_all[:10].index:
code = re.findall('(\d+)', code)
if len(code) > 0:
code = code[0]
kind = sl.get_multiday_ave_compare_silent(code)
else:
# print top_now[:10]
print "\tNo data"
int_time = cct.get_now_time_int()
if cct.get_work_time():
if int_time < 930:
while 1:
cct.sleep(60)
if cct.get_now_time_int() < 931:
cct.sleep(60)
print ".",
else:
top_all = pd.DataFrame()
time_s = time.time()
print "."
break
else:
cct.sleep(60)
elif cct.get_work_duration():
while 1:
cct.sleep(60)
if cct.get_work_duration():
print ".",
# log.level = log.debug
# error_handler = SyslogHandler('Sina-M-Log', level='ERROR')
try:
if cct.get_work_day_status() and cct.get_now_time_int() < 1505:
# tdx_data=tdd.get_tdx_all_day_DayL_DF(market='cyb', dayl=1)
print sina_data.Sina().get_stock_code_data('300006')
tdx_data = rl.get_sina_Market_json('cyb')
if len(tdx_data) < 1:
raise KeyboardInterrupt("StopTime")
else:
print tdx_data[-2:]
code = '300366'
except (KeyboardInterrupt) as e:
pass
except (IOError, EOFError, Exception) as e:
print "Error", e
#traceback.print_exc()
sleeptime = random.randint(5, 15)
print "Error2sleep:%s" % (sleeptime)
cct.sleep(sleeptime)
'''
{symbol:"sz000001",code:"000001",name:"平安银行",trade:"0.00",pricechange:"0.000",changepercent:"0.000",buy:"12.36",sell:"12.36",settlement:"12.34",open:"0.00",high:"0.00",low:"0",volume:0,amount:0,ticktime:"09:17:55",per:7.133,pb:1.124,mktcap:17656906.355526,nmc:14566203.350486,turnoverratio:0},
{symbol:"sz000002",code:"000002",name:"万 科Ａ",trade:"0.00",pricechange:"0.000",changepercent:"0.000",buy:"0.00",sell:"0.00",settlement:"24.43",open:"0.00",high:"0.00",low:"0",volume:0,amount:0,ticktime:"09:17:55",per:17.084,pb:3.035,mktcap:26996432.575,nmc:23746405.928119,turnoverratio:0},
python -m cProfile -s cumulative timing_functions.py
http://www.jb51.net/article/63244.htm
'''
for code in top_dif[:10].index:
code = re.findall('(\d+)', code)
if len(code) > 0:
code = code[0]
kind = sl.get_multiday_ave_compare_silent(code)
# print top_all[top_all.low.values==0]
# else:
# print "\t No RealTime Data"
else:
print "\tNo Data"
int_time = cct.get_now_time_int()
if cct.get_work_time():
if int_time < ct.open_time:
cct.sleep(ct.sleep_time)
elif int_time < 930:
cct.sleep((930 - int_time) * 55)
top_all = pd.DataFrame()
time_s = time.time()
else:
cct.sleep(60)
elif cct.get_work_duration():
while 1:
cct.sleep(60)
if cct.get_work_duration():
print ".",
cct.sleep(60)
else:
cct.sleeprandom(60)
top_all = pd.DataFrame()
# if cct.get_work_time():
# if 930 < int_time < 1000:
# cct.sleep(45)
# else:
# cct.sleep(ct.duration_sleep_time)
int_time = cct.get_now_time_int()
if cct.get_work_time():
log.debug('into get_work_time:%s' % (int_time))
if 915 < int_time < 926:
while 1:
cct.sleeprandom(15)
break
elif int_time < 930:
while 1:
cct.sleep(60)
if cct.get_now_time_int() < 931:
cct.sleep(60)
print ".",
else:
# cct.sleep(random.randint(0, 30))
# print "."
fibcount = 0
break
else:
cct.sleep(60)
elif cct.get_work_duration():
log.debug('into work_duration:%s' % (int_time))
while 1:
if cct.get_work_duration():
print ".",
