def main_ai_bt(timStr='', nday=2):
#
#1---init.sys
print('\nmain_bt,nday:', nday)
tfsys.xnday_down = nday
zsys.web_get001txtFg = True
#2---init.tfb
rs0 = '/tfbDat/'
fgid = rs0 + 'gid2018.dat'
xtfb = tft.fb_init(rs0, fgid)
if nday == -1:
tfsys.xnday_down = xtfb.gid_nday + 10
print('nday,', tfsys.xnday_down)
#
#3---backtest
print('\n#3,backtest')
if nday != 0:
xtfb.funPre = tfsty.sta00_pre #bt_1dayMain
xtfb.funSta = tfsty.sta_ai_log01
xtfb.preVars = []
xtfb.staVars = [99, 99, 99]
#
#
#3.a------ai.init
zai.xmodel = {}
xtfb.ai_mxfFN0 = rs0 + 'mlib/p7y2016_'
xtfb.ai_mx_sgn_lst = ['log']
xtfb.ai_ysgn = 'kwin'
xtfb.ai_xlst = [
'cid', 'pwin0', 'pdraw0', 'plost0', 'pwin9', 'pdraw9', 'plost9'
]
#
zai.ai_f_mxRdlst(xtfb.ai_mxfFN0, xtfb.ai_mx_sgn_lst)
#3.b-------预测
xtfb.kcid = '1' #cn,3=bet365
tfbt.bt_main(xtfb, timStr)
#
#4---main_ret
print('\n#4,result.anz')
tfbt.bt_main_ret(xtfb, True)
print('kcid,', xtfb.kcid, ',nday,', nday)
print('preVar,', xtfb.preVars)
print('staVar,', xtfb.staVars)
#
#5
tn = zt.timNSec('', xtfb.tim0, '')
print('\n#5,backtest,tim:{0:.2f} s'.format(tn))
#
#6---end.main
print('\n#6,end.main')
fsr0 = 'dat/ccpp_'
print('#1', fsr0)
mlst1 = [
'line', 'log', 'bayes', 'knn', 'forest', 'dtree', 'svm', 'mlp', 'mlpreg'
]
mlst2 = ['forest', 'dtree', 'svm']
mlst3 = ['line', 'log', 'bayes']
mlst4 = ['line', 'forest', 'dtree']
x_test = zai.ai_f_datRd010(fsr0 + 'xtest.csv')
y_test = zai.ai_f_datRd010(fsr0 + 'ytest.csv', 1)
#2
zai.xmodel = {}
print('\n#2,ai_f_mxRdlst')
zai.ai_f_mxRdlst(fsr0, mlst1)
#3
print('\n#3,mlst1', mlst1)
zai.mx_mul(mlst1, x_test, y_test, yk0=1, fgInt=False, fgDebug=False)
#4
print('\n#4,mlst2', mlst2)
zai.mx_mul(mlst2, x_test, y_test, yk0=1, fgInt=False, fgDebug=False)
#5
print('\n#5,mlst3', mlst3)
zai.mx_mul(mlst3, x_test, y_test, yk0=1, fgInt=False, fgDebug=False)
#6
print('\n#6,mlst3', mlst4)
import ztools_data as zdat
import zpd_talib as zta
import ztop_ai as zai
#---------------------------------------------------------------------------
#1
#读取测试数据，调用单组数据调用函数
#读取主数据，k0=0，读取以y开头的结果数据，需要进行缩放，并且转换成整数格式，所以参数不同。
fsr0 = 'dat/ccpp_'
print('#1', fsr0)
mxlst = [
'line', 'log', 'bayes', 'knn', 'forest', 'dtree', 'svm', 'mlp', 'mlpreg'
]
x_test = zai.ai_f_datRd010(fsr0 + 'xtest.csv')
y_test = zai.ai_f_datRd010(fsr0 + 'ytest.csv', 1)
#2
#批量读取算法模型
zai.xmodel = {}
print('\n#2,ai_f_mxRdlst')
zai.ai_f_mxRdlst(fsr0, mxlst)
#3
#批量调用算法模型，并进行分析预测
print('\n#3,mx_funlst8mx')
zai.mx_funlst8mx(mxlst, x_test, y_test, yk0=5, fgInt=False)
#-----------------------
print('\nok!')