def set_duration_console(du_date):
if cct.isMac():
cct.set_console(width, height)
else:
cct.set_console(width, height, title=str(du_date))
if __name__ == "__main__":
# print get_linear_model_status('600671', filter='y', dl=10, ptype='low')
# print get_linear_model_status('600671', filter='y', dl=10, ptype='high')
# print get_linear_model_status('600671', filter='y', start='20160329', ptype='low')
# print get_linear_model_status('600671', filter='y', start='20160329', ptype='high')
# print get_linear_model_status('999999', filter='y', dl=30, ptype='high')
# print get_linear_model_status('999999', filter='y', dl=30, ptype='low')
# print powerCompute_df(['300134','002171'], dtype='d',end=None, dl=10, filter='y')
# # print powerCompute_df(['601198', '002791', '000503'], dtype='d', end=None, dl=30, filter='y')
# print get_linear_model_status('999999', filter='y', dl=34, ptype='low', days=1)
# print pct.get_linear_model_status('601519', filter='y', dl=34, ptype='low', days=1)
# sys.exit()
import re
if cct.isMac():
cct.set_console(80, 19)
else:
cct.set_console(80, 19)
parser = parseArgmain()
parser.print_help()
if cct.get_os_system().find('win') >= 0:
import win_unicode_console
win_unicode_console.disable()
while 1:
try:
# log.setLevel(LoggerFactory.INFO)
# log.setLevel(LoggerFactory.DEBUG)
code = raw_input("code:")
args = parser.parse_args(code.split())
# if not code.lower() == 'q' and not code.lower() == 'quit' and not code.lower() == 'exit' and not code == 'q' and not code == 'e' and not str(args.code) == 'None' and (args.wencai == 'y' or re.match('[a-zA-Z]+',code) is not None or re.match('[ \u4e00 -\u9fa5]+',code) == None ):
# if not cct.get_os_system() == 'mac':
# elif percent_status == 'y' and cct.get_now_time_int() > 935 and ptype == 'high' :
elif ptype == 'low':
# top_dif = top_dif[top_dif.percent >= 0]
top_temp = stf.filterPowerCount(top_dif,ct.PowerCount)
top_end = top_dif[-5:].copy()
top_temp = pct.powerCompute_df(top_temp, dl=ct.PowerCountdl, talib=True, newdays=newdays)
top_end = pct.powerCompute_df(top_end, dl=ct.PowerCountdl, talib=True, newdays=newdays)
else:
# top_dif = top_dif[top_dif.percent >= 0]
top_end = top_dif[:5].copy()
top_temp = top_dif[-ct.PowerCount:].copy()
top_temp = pct.powerCompute_df(top_temp, dl=ct.PowerCountdl, talib=True, newdays=newdays)
top_end = pct.powerCompute_df(top_end, dl=ct.PowerCountdl, talib=True, newdays=newdays)
cct.set_console(width, height,
title=[du_date, 'dT:%s' % cct.get_time_to_date(time_s), 'G:%s' % goldstock,
'zxg: %s' % (blkname+'-'+market_blk)])
top_all = tdd.get_powerdf_to_all(top_all, top_temp)
top_all = tdd.get_powerdf_to_all(top_all, top_end)
top_temp = stf.getBollFilter(df=top_temp, boll=ct.bollFilter, duration=ct.PowerCountdl,resample=resample)
print("N:%s K:%s %s G:%s" % (
now_count, len(top_all[top_all['buy'] > 0]),
len(top_now[top_now['volume'] <= 0]), goldstock)),
print "Rt:%0.1f dT:%s N:%s T:%s %s%%" % (float(time.time() - time_Rt), cct.get_time_to_date(time_s), cct.get_now_time(), len(top_temp), round(len(top_temp) / float(ct.PowerCount) * 100, 1))
# top_end = stf.getBollFilter(df=top_end, boll=ct.bollFilter,duration=ct.PowerCountdl)
if 'op' in top_temp.columns:
if cct.get_now_time_int() > ct.checkfilter_end_timeDu and (int(duration_date) > int(ct.duration_date_sort) or int(duration_date) < ct.duration_diff):
top_temp = top_temp.sort_values(by=eval(market_sort_value),
ascending=market_sort_value_key)
else:
log = LoggerFactory.log
args = docopt(cct.sina_doc, version='sina_cxdn')
# print args,args['-d']
if args['-d'] == 'debug':
log_level = LoggerFactory.DEBUG
elif args['-d'] == 'info':
log_level = LoggerFactory.INFO
else:
log_level = LoggerFactory.ERROR
# log_level = LoggerFactory.DEBUG if args['-d'] else LoggerFactory.ERROR
log.setLevel(log_level)
# width, height = 132, 18
if cct.isMac():
width, height = 160, 16
cct.set_console(width, height)
else:
width, height = 160, 20
cct.set_console(width, height)
# cct.set_console(width, height)
# log.setLevel(LoggerFactory.DEBUG)
status = False
vol = ct.json_countVol
type = ct.json_countType
top_all = pd.DataFrame()
code_a = {}
success = 0
time_s = time.time()
# delay_time = 3600
delay_time = cct.get_delay_time()
from docopt import docopt
log = LoggerFactory.log
args = docopt(cct.sina_doc, version='SinaMarket')
if args['-d'] == 'debug':
log_level = LoggerFactory.DEBUG
elif args['-d'] == 'info':
log_level = LoggerFactory.INFO
else:
log_level = LoggerFactory.ERROR
log.setLevel(log_level)
if cct.isMac():
width, height = 176, 22
cct.set_console(width, height)
else:
width, height = 176, 22
cct.set_console(width, height)
# cct.terminal_positionKey_triton
# cct.set_console(width, height)
# if cct.isMac():
# cct.set_console(108, 16)
# else:
# cct.set_console(100, 16)
status = False
vol = ct.json_countVol
type = ct.json_countType
cut_num = 1000000
success = 0
if __name__ == "__main__":
# import matplotlib
# # matplotlib.use('WXAgg')
# # plt.interactive(True)
# matplotlib.use('QT5Agg')
status = get_linear_model_histogramDouble('601198')
# plt.show()
# print status
# get_tdx_and_now_data('002399')
# sys.exit(0)
# args=main(cct.cct_raw_input('input').split())
# print (args.d)
# sys.exit()
if cct.isMac():
cct.set_console(80, 16)
else:
cct.set_console(80, 16)
num_input = ''
parser = parseArgmain()
if len(sys.argv) == 2:
num_input = sys.argv[1]
args = parser.parse_args(num_input.split())
elif len(sys.argv) > 2:
num_input = sys.argv[1]
args = parser.parse_args(sys.argv[1:])
else:
parser.print_help()
while 1:
try:
if not len(num_input) == 6:
def get_hot_countNew(changepercent, rzrq, fibl=None, fibc=10):
global fibcount
INDEX_LIST_TDX = {'999999': 'sh', '399001': 'sz', '399006': 'cyb'}
# {v: k for k, v in m.items()}
# >>> zip(m.values(), m.keys())
# mi = dict(zip(m.values(), m.keys()))
if fibcount == 0 or fibcount >= fibc:
if fibcount >= fibc:
fibcount = 1
else:
fibcount += 1
if fibl is not None:
int = 0
for f in fibl:
code, op, ra, daysData, fib, st = f[0], f[1], f[2], f[3], f[
4], f[5]
# cumin_index[INDEX_LIST_TDX[code]]=cumin
int += 1
if int % 2 != 0:
print "%s op:%s ra:%s d:%s fib:%s m5:%s %s" % (
code, f_print(3, op), f_print(
5, ra), f_print(2, daysData[0]), f_print(
3, fib), f_print(4, daysData[1]), st),
else:
print "%s op:%s ra:%s d:%s fib:%s m5:%s " % (
st, f_print(3, op), f_print(
5, ra), f_print(2, daysData[0]), f_print(
3, fib), f_print(4, daysData[1]))
else:
fibcount += 1
allTop = pd.DataFrame()
indexKeys = ['sh', 'sz', 'cyb']
# ffindex = ffu.get_dfcfw_fund_flow('all')
ffindex = ffu.get_dfcfw_fund_flow2020('all')
ffall = {}
topTen_all = 0
crashTen_all = 0
ffall['zlr'] = 0
ffall['zzb'] = 0
for market in indexKeys:
# market = ct.SINA_Market_KEY()
# df = rd.get_sina_Market_json(market, False)
df = sina_data.Sina().market(market)
# count=len(df.index)
# log.info("market:%s" % df[:1])
df = df.dropna()
df = df[df.close > 0]
if 'percent' not in df.columns:
df['percent'] = map(lambda x, y: round((x - y) / y * 100, 1),
df.close.values, df.llastp.values)
if 'percent' in df.columns.values:
# and len(df[:20][df[:20]['percent']>0])>3:
# if 'code' in df.columns:
# top = df[df['percent'] > changepercent]
# topTen = df[df['percent'] > 9.9]
# crashTen = df[df['percent'] < -9.8]
# crash = df[df['percent'] < -changepercent]
# else:
top = df[df['percent'] > changepercent]
topTen = df[df['percent'] > 9.9]
# dropcode = [ x for x in topTen.index.tolist() if x not in top_Ten_Dropcxg]
# if len(dropcode) >0:
# topT_l = tdd.get_tdx_exp_all_LastDF_DL(dropcode, dt=ct.duration_date_l,newdays=10,showRunTime=False)
# if isinstance(topT_l, pd.DataFrame):
# top_Ten_Dropcxg.extend(topT_l.index.tolist())
crashTen = df[df['percent'] < -9.8]
crash = df[df['percent'] < -changepercent]
else:
log.info("market No Percent:%s" % df[:1])
top = '0'
topTen = '0'
crashTen = '0'
crash = '0'
topTen_all += len(topTen)
crashTen_all += len(crashTen)
# top=df[ df['changepercent'] <6]
# print("\033[1;31;40m您输入的帐号或密码错误！\033[0m")
print("%s topT: %s top>%s: %s" %
(f_print(4, market), f_print(
3, len(topTen)), changepercent, f_print(4, len(top)))),
# url = ct.DFCFW_FUND_FLOW_URL % ct.SINA_Market_KEY_TO_DFCFW[market]
# log.debug("ffurl:%s" % url)
print(u"crashT:%s crash<-%s:%s" % (f_print(
4, len(crashTen)), changepercent, f_print(4, len(crash)))),
# print(u"-5:%s" %
# (f_print(4, len(crash[crash < -5])))),
ff = ffindex[market]
if len(ff) > 0:
zlr = float(ff['zlr'])
zzb = float(ff['zzb'])
ffall['zlr'] = ffall['zlr'] + zlr
ffall['zzb'] = ffall['zzb'] + zzb
# zt=str(ff['time'])
# modfprint=lambda x:f_print(4,x) if x>0 else "-%s"%(f_print(4,str(x).replace('-','')))
# print modfprint(zlr)
# print (u"流入: %s亿 比: %s%%" % (modfprint(zlr), modfprint(zzb))),
print(u"流入: %s亿 比: %s%% " %
(f_print(6, zlr, 32), f_print(4, zzb, 32))),
if 'close' in ff.keys():
if ff['close'] == 0:
_percent = 0
else:
_percent = round(
(ff['close'] - ff['lastp']) * 100 / ff['close'], 2)
else:
_percent = 0
ff['close'] = 0.0
ff['open'] = 0.0
ff['lastp'] = 0.0
# print (u" %s"%(f_print(2,cumin_index[market],31))),
print(
u"%s %s%% %s%s" %
(f_print(7, ff['close']), f_print(4, _percent, 31),
f_print(1, '!' if ff['open'] > ff['lastp'] else '?'),
f_print(2, '!!' if ff['close'] > ff['lastp'] else '??', 32)))
allTop = allTop.append(df.reset_index(), ignore_index=True)
allTop = allTop.drop_duplicates()
df = allTop
df = tdd.get_single_df_lastp_to_df(df.set_index('code'), resample='d')
count = len(df.index)
top = df[df['percent'] > changepercent]
topTen = df[df['percent'] >= 9.9]
if 'max5' in df.columns:
top_Max = (df[(df.close >= df.hmax) & (df.close >= df.max5)])
# top_low = len(df[df.low < df.min5])
top_min = (df[(df.close <= df.lmin) & (df.close <= df.min5)])
cct.GlobalValues().setkey('top_max', top_Max)
cct.GlobalValues().setkey('top_min', top_min)
else:
top_Max = []
top_low = 0
top_min = []
# topTen = str(len(topTen)) +'('+str(len(top_Ten_Dropcxg))+')' +'(H:'+str(len(top_Max))+')'
topTen = str(topTen_all) + '(' + str(len(topTen)) + ')' + \
'(H:' + str(len(top_Max)) + ')'
# print "top_Ten_Dropcxg:%s",top_Ten_Dropcxg
# crashTen = df[df['percent'] < -9.8]
crashTen = str(crashTen_all) + '(L:' + str(len(top_min)) + ')'
crash = df[df['percent'] < -changepercent]
print(u"AL:%s topT:%s top>%s:%s" %
(f_print(4, count), f_print(
3, (topTen), 31), changepercent, f_print(4, len(top), 31))),
print(
u"crashT:%s crash<-%s:%s" %
(f_print(3,
(crashTen), 32), changepercent, f_print(4, len(crash), 31))),
print(u"-5:%s" % (f_print(4, len(crash[crash.percent < -5]), 32))),
# ff = ffu.get_dfcfw_fund_flow(ct.DFCFW_FUND_FLOW_ALL)
ffall['time'] = ff['time']
ff = ffall
zzb = 0
if len(ff) > 0:
zlr = round(float(ff['zlr']), 1)
zzb = round(float(ff['zzb']) / 3, 1)
zt = str(ff['time'])
print(u"流入: %s亿 占比: %s%% %s" %
(f_print(4, zlr, 31), f_print(4, zzb, 31), f_print(4, zt)))
ff = ffu.get_dfcfw_fund_SHSZ()
# hgt = ffu.get_dfcfw_fund_HGT()
# szt = ffu.get_dfcfw_fund_HGT(url=ct.DFCFW_FUND_FLOW_SZT)
hgt = ffu.get_dfcfw_fund_HGSZ2021('bei')
szt = ffu.get_dfcfw_fund_HGSZ2021('nan')
log.debug("shzs:%s hgt:%s" % (ff, hgt))
# if len(ff) > 0:
# print ("\tSH: %s u:%s vo: %s sz: %s u:%s vo: %s" % (
# f_print(4, ff['scent']), f_print(4, ff['sup']), f_print(5, ff['svol']), f_print(4, ff['zcent']),
# f_print(4, ff['zup']),
# f_print(5, ff['zvol']))),
bigcount = rd.getconfigBigCount(count=None, write=True)
if len(ff) > 0:
print(u"\tSh: %s Vr:%s Sz: %s Vr:%s " %
(f_print(4, ff['scent']), f_print(5, ff['svol'], 31),
f_print(4, ff['zcent']), f_print(5, ff['zvol'], 31))),
print(u'B:%s-%s V:%s' %
(bigcount[0], bigcount[2], f_print(4, bigcount[1])))
else:
print(u"\tSh: \t%s Vr: \t%s Sz: \t%s Vr: \t%s ") % (0, 0, 0, 0),
print(u'B:%s-%s V:%s' %
(bigcount[0], bigcount[2], f_print(4, bigcount[1])))
if len(hgt) > 0:
print("\tSgt: %s Gst: %s Hgt: %s Ggt: %s SSVol:%s" %
(hgt['ggt'], szt['ggt'], hgt['hgt'], szt['hgt'],
f_print(10, ff['allvol'], 31)))
else:
print("\t%s Sgt: %s Gst: %s \tHgt: \t%s Ggt: " % (0, 0, 0, 0))
if len(rzrq) > 0:
if 'shrz' not in rzrq.keys() and 'szrz' not in rzrq.keys():
rzrq['shrz'] = 0
rzrq['szrz'] = 0
shpcent = round(
(rzrq['shrz'] / rzrq['sh'] * 100), 1) if rzrq['sh'] > 0 else '?'
szpcent = round(
(rzrq['szrz'] / rzrq['sz'] * 100), 1) if rzrq['sz'] > 0 else '?'
print(u"\tSh: %s rz:%s :%s%% sz: %s rz:%s :%s%% All: %s diff: %s亿" %
(f_print(5, rzrq['sh']), f_print(4, rzrq['shrz']), shpcent,
f_print(5, rzrq['sz']), f_print(4, rzrq['szrz']), szpcent,
f_print(4, rzrq['all'], 31), f_print(5, rzrq['dff'], 31)))
# print "bigcount:",bigcount
cct.set_console(width,
height,
title=[
'B:%s-%s V:%s' %
(bigcount[0], bigcount[2], bigcount[1]),
'ZL: %s' % (zlr if len(ff) > 0 else 0),
'To:%s' % len(topTen),
'D:%s' % len(crash),
'Sh: %s ' % ff['scent'] if len(ff) > 0 else '?',
'Vr:%s%% ' % ff['svol'] if len(ff) > 0 else '?',
'MR: %s' % zzb,
'ZL: %s' % (zlr if len(ff) > 0 else '?')
],
closeTerminal=True)
log.debug("set_console:bigcount[0]%s bigcount[2]:%s" %
(bigcount[0], bigcount[2]))
return allTop
args = docopt(cct.sina_doc, version='sina_cxdn')
# print args,args['-d']
if args['-d'] == 'debug':
log_level = LoggerFactory.DEBUG
elif args['-d'] == 'info':
log_level = LoggerFactory.INFO
else:
log_level = LoggerFactory.ERROR
# log_level = LoggerFactory.DEBUG if args['-d'] else LoggerFactory.ERROR
log.setLevel(log_level)
# log.setLevel(LoggerFactory.DEBUG)
# print len(sys.argv)
if cct.isMac():
width, height = 108, 15
cct.set_console(width, height)
else:
width, height = 108, 15
cct.set_console(width, height)
if len(sys.argv) == 2:
status = True
num_input = sys.argv[1]
# print num_input
elif (len(sys.argv) > 2):
pass
else:
status = False
num_input = ''
status = False
