return df
raise IOError(ct.NETWORK_URL_ERROR_MSG)
if __name__ == "__main__":
# parsehtml(downloadpage(url_s))
# StreamHandler(sys.stdout).push_application()
log = LoggerFactory.getLogger('SinaMarketNew')
# log.setLevel(LoggerFactory.DEBUG)
# handler=StderrHandler(format_string='{record.channel}: {record.message) [{record.extra[cwd]}]')
# log.level=log.debug
# error_handler = SyslogHandler('Sina-M-Log', level='ERROR')
if cct.isMac():
cct.set_console(165, 16)
else:
cct.set_console(160, 15)
status = False
vol = '0'
type = '2'
# 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() + '062.blk'
status_change = False
# 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)
])
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)
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(),
def set_duration_console(du_date):
if cct.isMac():
cct.set_console(width, height)
else:
cct.set_console(width, height, title=str(du_date))
# print len(data),len(df)
# for ix in df.index:
# code = re.findall('(\d+)', ix)
# if len(code) > 0:
# code = code[0]
# status = sl.get_multiday_ave_compare_silent(code)
# if status:
# code_g[code]= df.loc[ix,'name']
# interval = (time.time() - start_t)
# print "time:", interval
if __name__ == "__main__":
if cct.isMac():
cct.set_console(86, 16)
else:
cct.set_console(82,16)
# log.setLevel(LoggerFactory.DEBUG)
status = False
vol = '0'
type = '2'
top_all = pd.DataFrame()
code_a = {}
success = 0
time_s = time.time()
# delay_time = 3600
delay_time = cct.get_delay_time()
base_path = tdd.get_tdx_dir()
block_path = tdd.get_tdx_dir_blocknew() + '065.blk'
# all_diffpath = tdd.get_tdx_dir_blocknew() + '062.blk'
# for row in soup.find_all('tr',attrs={"class":"gray","class":""}):
except Exception as e:
print "Except:", (e)
else:
return df
raise IOError(ct.NETWORK_URL_ERROR_MSG)
if __name__ == "__main__":
# parsehtml(downloadpage(url_s))
log = LoggerFactory.getLogger("SinaMarket")
# log.setLevel(LoggerFactory.DEBUG)
if cct.isMac():
cct.set_console(90, 16)
else:
cct.set_console(82, 16)
status = False
vol = "0"
type = "2"
cut_num = 20000
success = 0
top_all = pd.DataFrame()
time_s = time.time()
# delay_time = 7200
delay_time = cct.get_delay_time()
base_path = tdd.get_tdx_dir()
block_path = tdd.get_tdx_dir_blocknew() + "064.blk"
while 1:
try:
# logger.setLevel(logging.ERROR)
if __name__ == "__main__":
# matplotlib.use('WXAgg')
# plt.interactive(True)
# status=get_linear_model_status('601198')
# print status
# get_tdx_and_now_data('002399')
# sys.exit(0)
# args=main(raw_input('input').split())
# print (args.d)
# sys.exit()
cct.set_console(100, 15)
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:
num_input = raw_input("please input code:")
if len(num_input) > 0:
# if not status:
#
if cct.get_work_time():
if code == num_input:
get_today_tick_ave(code, ave)
else:
ave = get_multiday_ave_compare(num_input, dayl)
time.sleep(timed)
return ave
if __name__ == '__main__':
# get_multiday_ave_compare('601198')
# print len(sys.argv)
if cct.isMac():
cct.set_console(90, 16)
else:
cct.set_console(100, 15)
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 = ''
code = ''
ave = None
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 = ''
code = ''
def get_hot_countNew(changepercent, rzrq, fibl=None, fibc=10):
global fibcount
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]
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')
ffall = {}
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]
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'
# top=df[ df['changepercent'] <6]
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)))),
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(4, zlr), f_print(4, zzb))),
print(u"%s %s%s" %
(f_print(4, ff['close']),
f_print(1, '!' if ff['open'] > ff['lastp'] else '?'),
f_print(2, '!!' if ff['close'] > ff['lastp'] else '??')))
allTop = allTop.append(df, ignore_index=True)
allTop = allTop.drop_duplicates()
df = allTop
count = len(df.index)
top = df[df['percent'] > changepercent]
topTen = df[df['percent'] > 9.9]
crashTen = df[df['percent'] < -9.8]
crash = df[df['percent'] < -changepercent]
print(u" \tA:%s topT:%s top>%s:%s" %
(f_print(4, count), f_print(
3, len(topTen)), changepercent, f_print(4, len(top)))),
print(u"crashT:%s crash<-%s:%s" %
(f_print(3, len(crashTen)), changepercent, f_print(4, len(crash)))),
# 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), f_print(4, zzb), 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)
log.debug("shzs:%s" % ff)
log.debug("hgt:%s" % 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']))),
if len(ff) > 0:
print(u"\t\tSh: %s Vr:%s Sz: %s Vr:%s " %
(f_print(4, ff['scent']), f_print(5, ff['svol']),
f_print(4, ff['zcent']), f_print(5, ff['zvol'])))
else:
print(u"\t\tSh: \t%s Vr: \t%s Sz: \t%s Vr: \t%s ") % (0, 0, 0, 0)
if len(hgt) > 0:
print("\t\tHgt: %s Ggt: %s Sgt: %s Gst: %s" %
(hgt['hgt'], hgt['ggt'], szt['hgt'], szt['ggt']))
else:
print("\t\tHgt: \t%s Ggt: \t%s Sgt: %s Gst: %s" % (0, 0, 0, 0))
if len(rzrq) > 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']), f_print(5, rzrq['dff'])))
bigcount = rd.getconfigBigCount(count=None, write=True)
# print 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 '?')
])
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=LoggerFactory.JohnsonLoger('SinaMarket').setLevel(LoggerFactory.DEBUG)
# log.setLevel(LoggerFactory.DEBUG)
if cct.isMac():
width, height = 174, 16
cct.set_console(width, height)
else:
width, height = 174, 18
cct.set_console(width, height)
status = False
vol = ct.json_countVol
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'
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 get_linear_model_status('399006', 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()
while 1:
try:
# log.setLevel(LoggerFactory.INFO)
# log.setLevel(LoggerFactory.DEBUG)
code = raw_input("code:")
args = parser.parse_args(code.split())
# print str(args.code)
if not str(args.code) == 'None' and (
args.wencai == 'y'
or re.match('[ \u4e00 -\u9fa5]+', code) == None):
df = wcd.get_wencai_Market_url(code, 200)
# args = parser.parse_args()
# args=parser.parse_args(input)
return parser
if __name__ == "__main__":
# parsehtml(downloadpage(url_s))
# StreamHandler(sys.stdout).push_application()
log = LoggerFactory.getLogger("SinaMarketNew")
# log.setLevel(LoggerFactory.DEBUG)
# handler=StderrHandler(format_string='{record.channel}: {record.message) [{record.extra[cwd]}]')
# log.level = log.debug
# error_handler = SyslogHandler('Sina-M-Log', level='ERROR')
if cct.isMac():
cct.set_console(105, 21)
else:
cct.set_console(105, 21)
status = False
vol = "0"
type = "2"
success = 0
top_all = pd.DataFrame()
time_s = time.time()
delay_time = 720000
# delay_time = cct.get_delay_time()
First = True
base_path = tdd.get_tdx_dir()
block_path = tdd.get_tdx_dir_blocknew() + "061.blk"
status_change = False
lastpTDX_DF = ""
print "Except:", (e)
else:
return df
raise IOError(ct.NETWORK_URL_ERROR_MSG)
if __name__ == "__main__":
# parsehtml(downloadpage(url_s))
# StreamHandler(sys.stdout).push_application()
log = LoggerFactory.getLogger('SinaMarket')
# log=LoggerFactory.JohnsonLoger('SinaMarket').setLevel(LoggerFactory.DEBUG)
# log.setLevel(LoggerFactory.DEBUG)
if cct.isMac():
cct.set_console(165, 16)
else:
cct.set_console(156, 16)
status = False
vol = '0'
type = '2'
# cut_num=10000
success = 0
top_all = pd.DataFrame()
time_s = time.time()
# delay_time = 7200
delay_time = cct.get_delay_time()
First = True
base_path = tdd.get_tdx_dir()
block_path = tdd.get_tdx_dir_blocknew() + '063.blk'
# all_diffpath = tdd.get_tdx_dir_blocknew() + '062.blk'
else:
print eval(cmd)
print ''
except Exception, e:
print e
# evalcmd(dir_mo)
# break
if __name__ == "__main__":
# parsehtml(downloadpage(url_s))
log = LoggerFactory.getLogger('SinaMarket')
# log.setLevel(LoggerFactory.DEBUG)
if cct.isMac():
width, height = 166, 16
cct.set_console(width, height)
else:
width, height = 166, 18
cct.set_console(width, height)
# 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
top_all = pd.DataFrame()
