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ExampleMonitorAlgorithm.py
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2# Copyright (C) 2002-2023 CERN for the benefit of the ATLAS collaboration
3#
4
5'''@file ExampleMonitorAlgorithm.py
6@author C. D. Burton
7@author P. Onyisi
8@date 2018-01-11
9@brief Example python configuration for the Run III AthenaMonitoring package
10'''
11
13 '''Function to configures some algorithms in the monitoring system.'''
14
15
21
22 # The following class will make a sequence, configure algorithms, and link
23 # them to GenericMonitoringTools
24 from AthenaMonitoring import AthMonitorCfgHelper
25 helper = AthMonitorCfgHelper(flags, 'ExampleAthMonitorCfg')
26
27
28
35 from AthenaConfiguration.ComponentFactory import CompFactory
36 exampleMonAlg = helper.addAlgorithm(CompFactory.ExampleMonitorAlgorithm,'ExampleMonAlg')
37
38 # You can actually make multiple instances of the same algorithm and give
39 # them different configurations
40 anotherExampleMonAlg = helper.addAlgorithm(CompFactory.ExampleMonitorAlgorithm,'AnotherExampleMonAlg')
41
42 # # If for some really obscure reason you need to instantiate an algorithm
43 # # yourself, the AddAlgorithm method will still configure the base
44 # # properties and add the algorithm to the monitoring sequence.
45 # helper.AddAlgorithm(myExistingAlg)
46
47
48
54
55
58
59 # # Then, add a tool that doesn't have its own configuration function. In
60 # # this example, no accumulator is returned, so no merge is necessary.
61 # from MyDomainPackage.MyDomainPackageConf import MyDomainTool
62 # exampleMonAlg.MyDomainTool = MyDomainTool()
63
64 # Add a generic monitoring tool (a "group" in old language). The returned
65 # object here is the standard GenericMonitoringTool.
66 myGroup = helper.addGroup(
67 exampleMonAlg,
68 'ExampleMonitor',
69 'OneRing/'
70 )
71
72 # Add a GMT for the other example monitor algorithm
73 anotherGroup = helper.addGroup(anotherExampleMonAlg,'ExampleMonitor')
74
75
76
78 myGroup.defineHistogram('lumiPerBCID',title='Luminosity,WithCommaInTitle;L/BCID;Events',
79 path='ToRuleThemAll',xbins=40,xmin=0.0,xmax=80.0)
80 myGroup.defineHistogram('lb', title='Luminosity Block;lb;Events',
81 path='ToFindThem',xbins=1000,xmin=-0.5,xmax=999.5,weight='testweight')
82 myGroup.defineHistogram('random;random2', title='LB;x;Events',
83 path='ToBringThemAll',xbins=30,xmin=0,xmax=1,opt='kLBNHistoryDepth=10')
84 myGroup.defineHistogram('random', title='title;x;y',path='ToBringThemAll',
85 xbins=[0,.1,.2,.4,.8,1.6])
86 myGroup.defineHistogram('random,pT', type='TH2F', title='title;x;y',path='ToBringThemAll',
87 xbins=[0,.1,.2,.4,.8,1.6],ybins=[0,10,30,40,60,70,90])
88 # specify a merge method
89 myGroup.defineHistogram('lumiPerBCID;lumiPerBCID_merge',title='Luminosity,WithCommaInTitle;L/BCID;Events',
90 path='ToRuleThemAll',xbins=40,xmin=0.0,xmax=80.0, merge='weightedAverage')
91 # use strings as bin labels
92 myGroup.defineHistogram('evtstr', title='Event number as string;Event number;Events',
93 xbins=2500, path='ToRuleThemAll', merge='merge')
94 # TEfficiencies
95 myGroup.defineHistogram('pT_passed,pT', type='TEfficiency', title='Test TEfficiency;x;Eff',
96 path='AndInTheDarkness', xbins=100, xmin=0.0, xmax=50.0)
97 myGroup.defineHistogram('pT_passed,pT,random', type='TEfficiency', title='Test TEfficiency 2D;x;y;Eff',
98 path='AndInTheDarkness', xbins=100, xmin=0.0, xmax=50.0,
99 ybins=10, ymin=0.0, ymax=2.0)
100 # # use a cutmask to only fill certain events
101 myGroup.defineHistogram('pT;pT_with_cut', title='p_{T};p_{T};Events', path='AndInTheDarkness',
102 xbins=50, xmin=0, xmax=50, cutmask='pT_passed')
103 # make a plot which will always exist, even though it is never filled
104 myGroup.defineHistogram('dummy;alwaysempty', title='Plot is always empty', path='AndInTheDarkness',
105 xbins=50, xmin=0, xmax=50, opt='kAlwaysCreate')
106 # make a TTree
107 myGroup.defineTree('pT,lb,pT_vec,strvec,str;testtree', path='BindThem',
108 treedef='pT/F:lb/i:pT_vec/vector<float>:strvec/vector<string>:str/string')
109
110 anotherGroup.defineHistogram('lbWithFilter',title='Lumi;lb;Events',
111 path='top',xbins=1000,xmin=-0.5,xmax=999.5)
112 anotherGroup.defineHistogram('run',title='Run Number;run;Events',
113 path='top',xbins=1000000,xmin=-0.5,xmax=999999.5)
114
115 # Example defining an array of histograms. This is useful if one seeks to create a
116 # number of histograms in an organized manner. (For instance, one plot for each ASIC
117 # in the subdetector, and these components are mapped in eta, phi, and layer.) Thus,
118 # one might have an array of TH1's such as quantity[etaIndex][phiIndex][layerIndex].
119 for alg in [exampleMonAlg, anotherExampleMonAlg]:
120 # Using an array of groups
121 topPath = 'OneRing' if alg == exampleMonAlg else 'top'
122 array = helper.addArray([2],alg,'ExampleMonitor', topPath=topPath)
123 array.defineHistogram('a,b',title='AB',type='TH2F',path='Eta',
124 xbins=10,xmin=0.0,xmax=10.0,
125 ybins=10,ymin=0.0,ymax=10.0)
126 array.defineHistogram('c',title='C',path='Eta',
127 xbins=10,xmin=0.0,xmax=10.0)
128 array = helper.addArray([4,2],alg,'ExampleMonitor', topPath=topPath)
129 array.defineHistogram('a',title='A',path='EtaPhi',
130 xbins=10,xmin=0.0,xmax=10.0)
131
132 # Using a map of groups
133 layerList = ['layer1', 'layer2']
134 clusterList = ['clusterX', 'clusterB']
135 array1D = helper.addArray([layerList], alg, 'ExampleMonitor', topPath=topPath)
136 array1D.defineHistogram('c', title='C', path='Layer',
137 xbins=10, xmin=0, xmax=10.0)
138 array2D = helper.addArray([layerList, clusterList], alg, 'ExampleMonitor', topPath=topPath)
139 array2D.defineHistogram('c', title='C', path='LayerCluster',
140 xbins=10, xmin=0, xmax=10.0)
141
142 # Using templates for histogram titles or paths
143 array1D.defineHistogram('c', title='Layer {0}', path='Keys', xmax=3.)
144 array1D.defineHistogram('c;c_alternate', title='Layer', path='Keys/{0}', xmax=3.)
145 array1D.defineHistogram('c;c_{0}_formatted', path='Keys', xmax=3.)
146 array2D.defineHistogram('c', title='Cluster {1}, Layer {0}', path='Keys/{1}', xmax=3.)
147
148 # Making a histogram only for certain elements of the array
149 array2D.defineHistogram('c;c_restricted', path='Keys', pattern=[('layer1', 'clusterB'), ('layer2', 'clusterX')])
150
151
156 return helper.result()
157
158 # # Otherwise, merge with result object and return
159 # acc = helper.result()
160 # result.merge(acc)
161 # return result
162
163if __name__=='__main__':
164 # Setup logs
165 from AthenaCommon.Logging import log
166 from AthenaCommon.Constants import INFO
167 log.setLevel(INFO)
168
169 # Set the Athena configuration flags
170 from AthenaConfiguration.AllConfigFlags import initConfigFlags
171 flags = initConfigFlags()
172 import sys
173 nightly = '/cvmfs/atlas-nightlies.cern.ch/repo/data/data-art/CommonInputs/'
174 file = 'data16_13TeV.00311321.physics_Main.recon.AOD.r9264/AOD.11038520._000001.pool.root.1'
175 flags.Input.Files = [nightly+file]
176 flags.Input.isMC = False
177 flags.Output.HISTFileName = 'ExampleMonitorOutput.root'
178 flags.fillFromArgs(sys.argv[1:])
179
180 flags.lock()
181
182 # Initialize configuration object, add accumulator, merge, and run.
183 from AthenaConfiguration.MainServicesConfig import MainServicesCfg
184 from AthenaPoolCnvSvc.PoolReadConfig import PoolReadCfg
185 cfg = MainServicesCfg(flags)
186 cfg.merge(PoolReadCfg(flags))
187
188 exampleMonitorAcc = ExampleMonitoringConfig(flags)
189 cfg.merge(exampleMonitorAcc)
190
191 # If you want to turn on more detailed messages ...
192 # exampleMonitorAcc.getEventAlgo('ExampleMonAlg').OutputLevel = 2 # DEBUG
193 cfg.printConfig(withDetails=False) # set True for exhaustive info
194
195 cfg.run() #use cfg.run(20) to only run on first 20 events