dqmNeuro_SW.py

 
 
import basf2
import neurotrigger
import sys
import os
 
 
 
# basf2.conditions.override_globaltags()
# basf2.conditions.append_globaltag('klm_alignment_testing')
# basf2.conditions.append_globaltag('neurotrigger')  # should not be needed
# basf2.conditions.append_globaltag('online')
 
 
basf2.set_log_level(basf2.LogLevel.DEBUG)
basf2.set_debug_level(20)
 
 
 
main = basf2.create_path()
 
# Loading filelist and checking for ending: ###
dstfiles = [sys.argv[1]]
 
ending = ".root"
 
print('Files to be processed:')
for x in dstfiles:
    print(x)
 
# Creating output directories with the script's name: ###
os.makedirs(sys.argv[0].split('.py')[0] + '/data', exist_ok=True)
os.makedirs(sys.argv[0].split('.py')[0] + '/hist', exist_ok=True)
 
# Creating filenames for dqm histogram output and root dst output: ###
outputfile = sys.argv[0].split('.py')[0] + '/hist/histo.' + sys.argv[1].split('/')[-1].split(ending)[0] + '.root'
dstputfile = sys.argv[0].split('.py')[0] + '/data/dst.' + sys.argv[1].split('/')[-1].split(ending)[0] + '.root'
 
# adding root input module depending on the input file: ###
main.add_module("RootInput", inputFileNames=dstfiles)
 
# loading gearbox and geometry, which is needed for simulation: ###
main.add_module('Gearbox')
main.add_module('Geometry')
 
# show progress at least every 10^maxN events: ###
main.add_module('Progress', maxN=3)
 
# add filter to just use events with trg information present: ###
main.add_module(neurotrigger.filterTRG())  # branchname="CDCTriggerNNInput2DFinderTracks"))
 
# adding neurotrigger simulations for one hwsim and one swsim case: ###
# neurotrigger.add_neurotrigger_sim(main)
neurotrigger.add_neurotrigger_hw(main)
 
# adding software neurotrigger simulation from CDCHits on:
# neurotrigger.add_neuro_simulation(main)
 
# add reconstruction in case .sroot files were used: ###
#    main.add_module('CDCUnpacker')
# add matcher modules to match trigger tracks to reco tracks: ###
 
main.add_module('CDCTriggerRecoMatcher', TrgTrackCollectionName=neurotrigger.hwneurotracks,
                hitCollectionName=neurotrigger.hwneuroinputsegmenthits, axialOnly=True)
main.add_module('CDCTriggerRecoMatcher', TrgTrackCollectionName=neurotrigger.hwsimneurotracks,
                hitCollectionName=neurotrigger.hwneuroinputsegmenthits, axialOnly=True)
main.add_module('CDCTriggerRecoMatcher', TrgTrackCollectionName=neurotrigger.hwneuroinput2dfindertracks,
                hitCollectionName=neurotrigger.hwneuroinputsegmenthits, axialOnly=True)
# main.add_module('CDCTriggerRecoHitMatcher', hitCollectionName=neurotrigger.simsegmenthits)
# main.add_module('CDCTriggerRecoMatcher', TrgTrackCollectionName=neurotrigger.simneurotracks_swtssw2d,
#                hitCollectionName=neurotrigger.simsegmenthits, axialOnly=True)
main.add_module('SetupGenfitExtrapolation')
 
# adding histomanager and the dqm module: ###
main.add_module('HistoManager',
                histoFileName=outputfile)
main.add_module('CDCTriggerNeuroDQM',
                simNeuroTracksName=neurotrigger.hwsimneurotracks,
                unpackedNeuroInput2dTracksName=neurotrigger.hwneuroinput2dfindertracks,
                # simNeuroTracksSWTSSW2DName=neurotrigger.simneurotracks_swtssw2d,
                # sim2DTracksSWTSName=neurotrigger.sim2dtracks_swts,
                # simSegmentHitsName=neurotrigger.simsegmenthits,
                showRecoTracks=True,
                skipWithoutHWTS=True,
                maxRecoZDist=-1,
                maxRecoD0Dist=-1,
                limitedoutput=False,
                )
 
# add root output: ###
main.add_module('RootOutput', outputFileName=dstputfile)
 
# run basf2: ###
basf2.process(main)
print(basf2.statistics)