def show_good_meigaras(datestr, show_cnt=10, search_cnt=1000, trade_mode="BOTH", max_price=10000):
meigaras = kf.get_goodmeigaras(datestr=datestr, cnt=search_cnt, high_vol_first=True, maxprice=max_price)
s = Simulator3(meigaras, trade_mode)
s.set_date(datestr, True)
traders = s.choose(choose_cnt=show_cnt)
meigarad = {}
if traders is not None and len(traders) > 0:
for trader in traders:
meigarad[trader.get_code()] = [trader.get_forecasted_trade_mode(), trader.get_desc()]
return meigarad
def get_meigaras(cnt, datestr, diagdays=20):
json = f.get_json_data("ml_train_tf")
must_meigaras = json["must_meigaras"]
meigaras = kf.get_goodmeigaras(datestr=datestr, cnt=cnt, diagdays=diagdays)
for m_code in must_meigaras:
include_flg = False
for code in meigaras:
if str(code) == str(m_code):
include_flg = True
break
if include_flg == False:
meigaras.append(m_code)
return meigaras
def simulate(dates):
dates.sort()
for i in range(1, len(dates)):
startd = dates[i-1]
endd = dates[i]
files = glob.glob("%s/20*" % PNFCKPT_DIR)
files.sort()
ckptdir = ""
for f in reversed(files):
if os.path.isdir(f):
foldername = f.split("/")[-1]
if startd >= foldername:
ckptdir = foldername
break
if ckptdir == "":
f.log("No learned data")
exit(1)
meigaras = kf.get_goodmeigaras(endd, 20)
s = Simulator3(meigaras, "BOTH", "%s.log" % ckptdir, ckptdir)
s.simulate(startd, endd)
s = None
'''
Created on 2016/04/09
@author: kot
'''
from engines.kabuka_lines import *
from engines.simulator3 import *
import actions.gen_pf_line as gpl
import lib.common_funcs as f
import lib.kabuka_funcs as kf
if __name__ == '__main__':
f.log("Starting report")
#meigaras = kf.get_rndmeigaras(100)
meigaras = kf.get_goodmeigaras(datestr="20160301", cnt=100, maxprice=2500, high_vol_first=True)
#meigaras = [6502, 3148]
#meigaras = ['1928']
#meigaras=["9984"]
#meigaras=[]
#meigaras=["6473"]
#for i in range(len(meigaras)):
# meigaras[i] = str(meigaras[i])
#gpl.gen_pf_line("20110101", "20160201", meigaras)
s = Simulator3(meigaras, "BOTH")
s.simulate()