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makeLayoutFileForGui.py
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1 #!/usr/bin/env python
2 ######################################################################################################################################################
3 # SHIFT LAYOUTS
4 ######################################################################################################################################################
5 #Is there a better way? Can we make it in the DQM, probably, but the documentation is not complete and when you try to make a loop or more then a function the GUI gets crazy. So...
6 from string import Template
7 
8 stripDiscName = lambda x: (x.split('/')[-1]).split('Eff')[0]
9 
10 defaultPlots = [
11  ['RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByDecayModeFinding/DecayModeFindingEff%s',
12  'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseChargedIsolation/LooseChargedIsolationEff%s',
13  'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr/LooseCombinedIsolationDBSumPtCorrEff%s'],
14  ['RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByMediumCombinedIsolationDBSumPtCorr/MediumCombinedIsolationDBSumPtCorrEff%s',
15  'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByTightCombinedIsolationDBSumPtCorr/TightCombinedIsolationDBSumPtCorrEff%s',
16  'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByVLooseCombinedIsolationDBSumPtCorr/VLooseCombinedIsolationDBSumPtCorrEff%s'],
17  ]
18 
19 muonrejplots = ['RecoTauV/hpsPFTauProducerRealMuonsData_hpsPFTauDiscriminationByLooseMuonRejection/LooseMuonRejectionEff%s', 'RecoTauV/hpsPFTauProducerRealMuonsData_hpsPFTauDiscriminationByMediumMuonRejection/MediumMuonRejectionEff%s', 'RecoTauV/hpsPFTauProducerRealMuonsData_hpsPFTauDiscriminationByTightMuonRejection/TightMuonRejectionEff%s']
20 
21 elerejplots = [
22  ['RecoTauV/hpsPFTauProducerRealElectronsData_hpsPFTauDiscriminationByLooseElectronRejection/LooseElectronRejectionEff%s',
23  'RecoTauV/hpsPFTauProducerRealElectronsData_hpsPFTauDiscriminationByMVAElectronRejection/MVAElectronRejectionEff%s',],
24  ['RecoTauV/hpsPFTauProducerRealElectronsData_hpsPFTauDiscriminationByMediumElectronRejection/MediumElectronRejectionEff%s',
25  'RecoTauV/hpsPFTauProducerRealElectronsData_hpsPFTauDiscriminationByTightElectronRejection/TightElectronRejectionEff%s']
26  ]
27 
28 variables = {'a':'pt','b':'pileup','c':'eta','d':'phi'}
29 
30 datasetNames = {'RealData' : 'QCD Jets', 'RealMuonsData' : 'muons from Z', 'RealElectronsData' : 'electrons from Z'}
31 
32 outputFileString = 'def shiftpftaulayout(i, p, *rows): i["00 Shift/Tau/" + p] = DQMItem(layout=rows)\n\n%s'
33 stdFill=Template('shiftpftaulayout(\n\tdqmitems,\n\t"$locpath",\n\t$rows\n\t)')
34 
35 def defaults(locpath,dataType,var):
36  rows = [[{ 'path': plot % (dataType,var), 'description': '%s fake rate from %s' % (stripDiscName(plot), datasetNames[dataType]),'draw': {'drawopts': "e"}} for plot in row] for row in defaultPlots]
37  strow = ',\n\t'.join([row.__repr__() for row in rows])
38  return stdFill.substitute(locpath=locpath,rows=strow)
39 
40 def muRej(locpath,var):
41  rows = [{ 'path': plot % var, 'description': '%s fake rate' % (stripDiscName(plot)),'draw': {'drawopts': "e"}} for plot in muonrejplots]
42  return stdFill.substitute(locpath=locpath,rows=rows.__repr__())
43 
44 def eleRej(locpath,var):
45  rows = [[{ 'path': plot % var, 'description': '%s fake rate' % (stripDiscName(plot)),'draw': {'drawopts': "e"}} for plot in row] for row in elerejplots]
46  strow = ',\n\t'.join([row.__repr__() for row in rows])
47  return stdFill.substitute(locpath=locpath,rows=strow)
48 
49 #
50 #SingleMu
51 #
52 toAdd = [ defaults('SingleMu/00%s - Fake rate from muons vs %s' % item,'RealMuonsData',item[1]) for item in variables.items() ]
53 toAdd.extend( [ muRej('SingleMu/01%s - Muon rejection fake rate vs %s' % item,item[1]) for item in variables.items() ] )
54 toAdd.extend( [ defaults('SingleMu/02%s - Fake rate from jets vs %s' % item,'RealData',item[1]) for item in variables.items() ] )
55 
56 #
57 #Jet
58 #
59 toAdd.extend([ defaults('Jet/00%s - Fake rate from jets vs %s' % item,'RealData',item[1]) for item in variables.items() ] )
60 
61 #
62 #DoubleE / TauPlusX
63 #
64 toAdd.extend([ defaults('DoubleElectron_OR_TauPlusX/00%s - Fake rate from electrons vs %s' % item,'RealElectronsData',item[1]) for item in variables.items() ] )
65 toAdd.extend( [ eleRej('DoubleElectron_OR_TauPlusX/01%s - Electron rejection fake rate vs %s' % item,item[1]) for item in variables.items() ] )
66 
67 layout = open('shift_pftau_T0_layout.py','w')
68 layout.write(outputFileString % '\n'.join(toAdd) )
69 layout.close()
70 
71 ######################################################################################################################################################
72 # LAYOUTS
73 ######################################################################################################################################################
74 layoutString = 'def pftaulayout(i, p, *rows): i["RecoTauV/Layouts/" + p] = DQMItem(layout=rows)\n\n%s'
75 stdFill=Template('pftaulayout(\n\tdqmitems,\n\t"$locpath",\n\t$rows\n\t)')
76 
77 layoutDefaultPlots = [
78  [
79  ['RecoTauV/hpsPFTauProducer%s_Matched/PFJetMatchingEff%s',
80  'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByDecayModeFinding/DecayModeFindingEff%s'],
81  ['RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseChargedIsolation/LooseChargedIsolationEff%s',
82  'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr/LooseCombinedIsolationDBSumPtCorrEff%s'],
83  ],
84  [
85  ['RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseIsolation/LooseIsolationEff%s',
86  'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByMediumCombinedIsolationDBSumPtCorr/MediumCombinedIsolationDBSumPtCorrEff%s'],
87  ['RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByTightCombinedIsolationDBSumPtCorr/TightCombinedIsolationDBSumPtCorrEff%s',
88  'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByVLooseCombinedIsolationDBSumPtCorr/VLooseCombinedIsolationDBSumPtCorrEff%s'],
89  ]
90  ]
91 
92 layoutscone = [
93  ['RecoTauV/shrinkingConePFTauProducerLeadingPion%s_shrinkingConePFTauDiscriminationByECALIsolationUsingLeadingPion/ECALIsolationUsingLeadingPionEff%s',
94  'RecoTauV/shrinkingConePFTauProducerLeadingPion%s_shrinkingConePFTauDiscriminationByLeadingPionPtCut/LeadingPionPtCutEff%s'],
95  ['RecoTauV/shrinkingConePFTauProducerLeadingPion%s_shrinkingConePFTauDiscriminationByLeadingTrackFinding/LeadingTrackFindingEff%s',
96  'RecoTauV/shrinkingConePFTauProducerLeadingPion%s_shrinkingConePFTauDiscriminationByTrackIsolationUsingLeadingPion/TrackIsolationUsingLeadingPionEff%s']
97  ]
98 
99 layoutSizeSumpt = [
100  ['RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByDecayModeFinding/hpsPFTauDiscriminationByDecayModeFinding_Size_%s',
101  'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseChargedIsolation/hpsPFTauDiscriminationByLooseChargedIsolation_Size_%s',
102  'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr/hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr_Size_%s'],
103  ['RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByDecayModeFinding/hpsPFTauDiscriminationByDecayModeFinding_SumPt_%s',
104  'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseChargedIsolation/hpsPFTauDiscriminationByLooseChargedIsolation_SumPt_%s',
105  'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr/hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr_SumPt_%s'],
106  ]
107 
108 import string
109 
110 def layDefaults(locpath,dataType,var):
111  framerows = [[[{ 'path': plot % (dataType,var), 'description': '%s fake rate from %s' % (stripDiscName(plot), datasetNames[dataType]),'draw': {'drawopts': "e"}} for plot in row] for row in frame] for frame in layoutDefaultPlots]
112  strows = [',\n\t'.join([row.__repr__() for row in rows]) for rows in framerows]
113  ret = [stdFill.substitute(locpath=locpath % postfix, rows=strow) for postfix,strow in zip(string.letters,strows)]
114  return '\n'.join(ret)
115 
116 def sCone(locpath,dataType,var):
117  rows = [[{ 'path': plot % (dataType,var), 'description': '%s fake rate from %s' % (stripDiscName(plot), datasetNames[dataType]),'draw': {'drawopts': "e"}} for plot in row] for row in layoutscone]
118  strow = ',\n\t'.join([row.__repr__() for row in rows])
119  return stdFill.substitute(locpath=locpath,rows=strow)
120 
121 def sizeSumpt(locpath,dataType,var):
122  typ = lambda x: x.split('_')[-2]
123  if typ == 'SumPt':
124  typ += ' distribution'
125  rows = [[{ 'path': plot % (dataType,var), 'description': '%s faking taus %s of %s' % (datasetNames[dataType],typ(plot), var),'draw': {'drawopts': "e"}} for plot in row] for row in layoutSizeSumpt]
126  strow = ',\n\t'.join([row.__repr__() for row in rows])
127  return stdFill.substitute(locpath=locpath,rows=strow)
128 
129 variables = {'a%s':'pt','b%s':'pileup','c%s':'eta','d%s':'phi'}
130 sumVar = dict( zip(string.letters,[elem for elem in ['signalPFCands','isolationPFChargedHadrCands','isolationPFGammaCands','isolationPFNeutrHadrCands'] ]) )
131 
132 
133 #
134 #SingleMu
135 #
136 toAdd = [ layDefaults('SingleMu/00%s - Fake rate from muons vs %s' % item,'RealMuonsData',item[1]) for item in variables.items() ]
137 toAdd.extend( [ muRej('SingleMu/01%s - Muon rejection fake rate vs %s' % (item[0]%'',item[1]),item[1]) for item in variables.items() ] )
138 toAdd.extend( [ layDefaults('SingleMu/02%s - Fake rate from jets vs %s' % item,'RealData',item[1]) for item in variables.items() ] )
139 toAdd.extend( [ sizeSumpt('SingleMu/03%s - Distributions of size and sumPt for %s, %s faking taus' % (item[0], item[1],datasetNames['RealMuonsData']),'RealMuonsData',item[1]) for item in sumVar.items() ] )
140 toAdd.extend( [ sizeSumpt('SingleMu/04%s - Distributions of size and sumPt for %s, %s faking taus' % (item[0], item[1],datasetNames['RealData']),'RealData',item[1]) for item in sumVar.items() ] )
141 
142 #
143 #Jet
144 #
145 toAdd.extend([ layDefaults('Jet/00%s - Fake rate from jets vs %s' % item,'RealData',item[1]) for item in variables.items() ] )
146 toAdd.extend( [ sizeSumpt('Jet/01%s - Distributions of size and sumPt for %s, %s faking taus' % (item[0], item[1],datasetNames['RealData']),'RealData',item[1]) for item in sumVar.items() ] )
147 
148 #
149 #DoubleE / TauPlusX
150 #
151 toAdd.extend([ layDefaults('DoubleElectron_OR_TauPlusX/00%s - Fake rate from electrons vs %s' % item,'RealElectronsData',item[1]) for item in variables.items() ] )
152 toAdd.extend( [ eleRej('DoubleElectron_OR_TauPlusX/01%s - Electron rejection fake rate vs %s' % (item[0].replace('%s',''),item[1]),item[1]) for item in variables.items() ] )
153 toAdd.extend( [ sizeSumpt('DoubleElectron_OR_TauPlusX/04%s - Distributions of size and sumPt for %s, %s faking taus' % (item[0], item[1],datasetNames['RealElectronsData']),'RealElectronsData',item[1]) for item in sumVar.items() ] )
154 
155 layout = open('pftatau_T0_layouts.py','w')
156 layout.write(layoutString % '\n'.join(toAdd) )
157 layout.close()
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