def get_hot_count(changepercent):
allTop = pd.DataFrame()
for market in ct.SINA_Market_KEY:
df = rd.get_sina_Market_json(market, False)
# count=len(df.index)
# print df[:1]
top = df[df['percent'] > changepercent]['code']
topTen = df[df['percent'] > 9.9]['code']
crashTen = df[df['percent'] < -9.8]['code']
crash = df[df['percent'] < -changepercent]['code']
# 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)))),
ff = ffu.get_dfcfw_fund_flow(ct.DFCFW_FUND_FLOW_URL % ct.SINA_Market_KEY_TO_DFCFW[market])
if len(ff) > 0:
zlr = float(ff['zlr'])
zzb = float(ff['zzb'])
# zt=str(ff['time'])
print (u"crashT:%s crash<-%s:%s 流入: %0.1f亿 比: %0.1f%%" % (
f_print(4, len(crashTen)), changepercent, f_print(4, len(crash)), zlr, zzb))
else:
print (u"crashT:%s crash<-%s:%s 流入: %0.1f亿 比: %0.1f%% %s" % (
f_print(4, len(crashTen)), changepercent, f_print(4, len(crash))))
allTop = allTop.append(df, ignore_index=True)
df = allTop
count = len(df.index)
top = df[df['percent'] > changepercent]['code']
topTen = df[df['percent'] > 9.9]['code']
crashTen = df[df['percent'] < -9.8]['code']
crash = df[df['percent'] < -changepercent]['code']
print (
u"\t\tA:%s topT:%s top>%s:%s" % (
f_print(4, count), f_print(3, len(topTen)), changepercent, f_print(4, len(top)))),
ff = ffu.get_dfcfw_fund_flow(ct.DFCFW_FUND_FLOW_ALL)
if len(ff) > 0:
zlr = float(ff['zlr'])
zzb = float(ff['zzb'])
zt = str(ff['time'])
print (u"crashT:%s crash<-%s:%s 流入: %0.1f亿 占比: %0.1f%% %s" % (
f_print(3, len(crashTen)), changepercent, f_print(4, (len(crash))), zlr, zzb, zt))
else:
print (u"crashT:%s crash<-%s:%s" % (f_print(3, len(crashTen)), changepercent, f_print(4, len(crash))))
return allTop
status = False
vol = "0"
type = "2"
# cut_num=10000
First = True
top_all = pd.DataFrame()
time_s = time.time()
delay_time = 1800
base_path = tdd.get_tdx_dir()
block_path = tdd.get_tdx_dir_blocknew() + "063.blk"
all_diffpath = tdd.get_tdx_dir_blocknew() + "062.blk"
rongduan = 1
rongduan_status = True
while 1:
try:
df = rl.get_sina_Market_json("all")
top_now = rl.get_market_price_sina_dd_realTime(df, vol, type)
df_count = len(df)
now_count = len(top_now)
del df
gc.collect()
radio_t = sl.get_work_time_ratio()
time_Rt = time.time()
log.debug("top_now:%s %s" % (top_now[:1], len(top_now)))
if len(top_now) > 10 and top_now[:1].buy.values >= 0:
time_d = time.time()
# top_now=top_now[top_now['percent']>=0]
if len(top_all) == 0:
top_all = top_now
# top_all['llow'] = 0
# top_all['lastp'] = 0
