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#!/usr/bin/env python
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from __future__ import print_function
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import sys
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import os
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import ROOT
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from array import array
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from math import sqrt
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from copy import copy
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#suppres the EvalInstace conversion warning bug
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import warnings
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warnings.filterwarnings( action='ignore', category=RuntimeWarning, message='creating converter.*' )
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from optparse import OptionParser
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import pickle
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#CONFIGURE
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ROOT.gROOT.SetBatch(True)
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print('hello')
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#load config
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#os.mkdir(path+'/sys')
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argv = sys.argv
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parser = OptionParser()
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parser.add_option("-U", "--update", dest="update", default=0,
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help="update infofile")
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parser.add_option("-D", "--discr", dest="discr", default="",
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help="discriminators to be added")
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#parser.add_option("-I", "--inpath", dest="inpath", default="",
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# help="path to samples")
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#parser.add_option("-O", "--outpath", dest="outpath", default="",
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# help="path where to store output samples")
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parser.add_option("-S", "--samples", dest="names", default="",
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help="samples you want to run on")
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parser.add_option("-C", "--config", dest="config", default=[], action="append",
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help="configuration file")
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(opts, args) = parser.parse_args(argv)
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if opts.config =="":
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opts.config = "config"
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#Import after configure to get help message
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from myutils import BetterConfigParser, progbar, printc, mvainfo, ParseInfo
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config = BetterConfigParser()
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#config.read('./config7TeV_ZZ')
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config.read(opts.config)
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anaTag = config.get("Analysis","tag")
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#get locations:
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Wdir=config.get('Directories','Wdir')
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samplesinfo=config.get('Directories','samplesinfo')
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#systematics
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INpath = config.get('Directories','MVAin')
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OUTpath = config.get('Directories','MVAout')
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info = ParseInfo(samplesinfo,INpath)
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arglist=opts.discr #RTight_blavla,bsbsb
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namelistIN=opts.names
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namelist=namelistIN.split(',')
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#doinfo=bool(int(opts.update))
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MVAlist=arglist.split(',')
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#CONFIG
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#factory
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factoryname=config.get('factory','factoryname')
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#load the namespace
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VHbbNameSpace=config.get('VHbbNameSpace','library')
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ROOT.gSystem.Load(VHbbNameSpace)
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#MVA
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MVAinfos=[]
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MVAdir=config.get('Directories','vhbbpath')
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for MVAname in MVAlist:
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MVAinfofile = open(MVAdir+'/data/'+factoryname+'_'+MVAname+'.info','r')
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MVAinfos.append(pickle.load(MVAinfofile))
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MVAinfofile.close()
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longe=40
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#Workdir
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workdir=ROOT.gDirectory.GetPath()
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class MvaEvaluater:
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def __init__(self, config, MVAinfo):
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self.varset = MVAinfo.varset
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#Define reader
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self.reader = ROOT.TMVA.Reader("!Color:!Silent")
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MVAdir=config.get('Directories','vhbbpath')
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self.systematics=config.get('systematics','systematics').split(' ')
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self.MVA_Vars={}
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self.MVAname = MVAinfo.MVAname
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for systematic in self.systematics:
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self.MVA_Vars[systematic]=config.get(self.varset,systematic)
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self.MVA_Vars[systematic]=self.MVA_Vars[systematic].split(' ')
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#define variables and specatators
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self.MVA_var_buffer = []
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for i in range(len( self.MVA_Vars['Nominal'])):
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self.MVA_var_buffer.append(array( 'f', [ 0 ] ))
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self.reader.AddVariable( self.MVA_Vars['Nominal'][i],self.MVA_var_buffer[i])
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self.reader.BookMVA(MVAinfo.MVAname,MVAdir+'/data/'+MVAinfo.getweightfile())
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#--> Now the MVA is booked
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def setBranches(self,tree,job):
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#Set formulas for all vars
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self.MVA_formulas={}
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for systematic in self.systematics:
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if job.type == 'DATA' and not systematic == 'Nominal': continue
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self.MVA_formulas[systematic]=[]
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for j in range(len( self.MVA_Vars['Nominal'])):
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self.MVA_formulas[systematic].append(ROOT.TTreeFormula("MVA_formula%s_%s"%(j,systematic),self.MVA_Vars[systematic][j],tree))
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def evaluate(self,MVAbranches,job):
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#Evaluate all vars and fill the branches
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for systematic in self.systematics:
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for j in range(len( self.MVA_Vars['Nominal'])):
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if job.type == 'DATA' and not systematic == 'Nominal': continue
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self.MVA_var_buffer[j][0] = self.MVA_formulas[systematic][j].EvalInstance()
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MVAbranches[self.systematics.index(systematic)] = self.reader.EvaluateMVA(self.MVAname)
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theMVAs = []
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for mva in MVAinfos:
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theMVAs.append(MvaEvaluater(config,mva))
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#eval
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samples = info.get_samples(namelist)
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for job in samples:
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#get trees:
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print(INpath+'/'+job.prefix+job.identifier+'.root')
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input = ROOT.TFile.Open(INpath+'/'+job.prefix+job.identifier+'.root','read')
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print(OUTpath+'/'+job.prefix+job.identifier+'.root')
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outfile = ROOT.TFile.Open(OUTpath+'/'+job.prefix+job.identifier+'.root','recreate')
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input.cd()
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obj = ROOT.TObject
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for key in ROOT.gDirectory.GetListOfKeys():
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input.cd()
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obj = key.ReadObj()
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#print obj.GetName()
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if obj.GetName() == job.tree:
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continue
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outfile.cd()
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#print key.GetName()
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obj.Write(key.GetName())
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tree = input.Get(job.tree)
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nEntries = tree.GetEntries()
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outfile.cd()
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newtree = tree.CloneTree(0)
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#Set branch adress for all vars
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for i in range(0,len(theMVAs)):
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theMVAs[i].setBranches(tree,job)
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outfile.cd()
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#Setup Branches
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MVAbranches=[]
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for i in range(0,len(theMVAs)):
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if job.type == 'Data':
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MVAbranches.append(array('f',[0]))
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newtree.Branch(MVAinfos[i].MVAname,MVAbranches[i],'nominal/F')
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else:
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MVAbranches.append(array('f',[0]*11))
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newtree.Branch(theMVAs[i].MVAname,MVAbranches[i],'nominal:JER_up:JER_down:JES_up:JES_down:beff_up:beff_down:bmis_up:bmis_down:beff1_up:beff1_down/F')
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MVA_formulas_Nominal = []
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print('\n--> ' + job.name +':')
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#progbar setup
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if nEntries >= longe:
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step=long(nEntries/longe)
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long=longe
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else:
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long=nEntries
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step = 1
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bar=progbar(long)
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#Fill event by event:
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for entry in range(0,nEntries):
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if entry % step == 0:
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bar.move()
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#load entry
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tree.GetEntry(entry)
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for i in range(0,len(theMVAs)):
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theMVAs[i].evaluate(MVAbranches[i],job)
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#Fill:
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newtree.Fill()
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newtree.AutoSave()
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outfile.Close()
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print('\n')
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