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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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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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from BetterConfigParser import BetterConfigParser |
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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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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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from samplesclass import sample |
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from mvainfos import mvainfo |
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from progbar import progbar |
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from printcolor import printc |
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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, ParseInfo, MvaEvaluator |
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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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MVASubdir=config.get('Directories','MVAdir') |
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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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infofile = open(samplesinfo,'r') |
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info = pickle.load(infofile) |
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infofile.close() |
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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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#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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workdir=ROOT.gDirectory.GetPath() |
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#Apply samples |
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infofile = open(samplesinfo,'r') |
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Ainfo = pickle.load(infofile) |
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infofile.close() |
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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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theMVAs.append(MvaEvaluator(config,mva)) |
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#eval |
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for job in Ainfo: |
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if eval(job.active): |
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if job.name in namelist: |
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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=int(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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samples = info.get_samples(namelist) |
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print(samples) |
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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].setVariables(tree,job) |
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outfile.cd() |
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#Setup Branches |
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mvaVals=[] |
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for i in range(0,len(theMVAs)): |
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if job.type == 'Data': |
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mvaVals.append(array('f',[0])) |
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newtree.Branch(MVAinfos[i].MVAname,mvaVals[i],'nominal/F') |
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else: |
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mvaVals.append(array('f',[0]*11)) |
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newtree.Branch(theMVAs[i].MVAname,mvaVals[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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#Fill event by event: |
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for entry in range(0,nEntries): |
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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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for i in range(0,len(theMVAs)): |
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theMVAs[i].evaluate(mvaVals[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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#Update Info: |
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if doinfo: |
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for job in Ainfo: |
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for MVAinfo in MVAinfos: |
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job.addcomment('Added MVA %s'%MVAinfo.MVAname) |
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job.addpath(MVAdir) |
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infofile = open(samplesinfo,'w') |
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pickle.dump(Ainfo,infofile) |
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infofile.close() |
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print('\n') |
