Functions
	ExampleMonitoringConfig (flags)

Variables
	flags = initConfigFlags()
str	nightly = '/cvmfs/atlas-nightlies.cern.ch/repo/data/data-art/CommonInputs/'
str	file = 'data16_13TeV.00311321.physics_Main.recon.AOD.r9264/AOD.11038520._000001.pool.root.1'
	Files
	isMC
	HISTFileName
	cfg = MainServicesCfg(flags)
	exampleMonitorAcc = ExampleMonitoringConfig(flags)
	withDetails

Detailed Description

@file ExampleMonitorAlgorithm.py
@author C. D. Burton
@author P. Onyisi
@date 2018-01-11
@brief Example python configuration for the Run III AthenaMonitoring package

Function Documentation

◆ ExampleMonitoringConfig()

python.ExampleMonitorAlgorithm.ExampleMonitoringConfig ( flags )

Function to configures some algorithms in the monitoring system.

Definition at line 12 of file ExampleMonitorAlgorithm.py.

def ExampleMonitoringConfig(flags):
    '''Function to configures some algorithms in the monitoring system.'''
 
    
 
    # The following class will make a sequence, configure algorithms, and link
    # them to GenericMonitoringTools
    from AthenaMonitoring import AthMonitorCfgHelper
    helper = AthMonitorCfgHelper(flags, 'ExampleAthMonitorCfg')
 
 
    
    from AthenaConfiguration.ComponentFactory import CompFactory
    exampleMonAlg = helper.addAlgorithm(CompFactory.ExampleMonitorAlgorithm,'ExampleMonAlg')
 
    # You can actually make multiple instances of the same algorithm and give 
    # them different configurations
    anotherExampleMonAlg = helper.addAlgorithm(CompFactory.ExampleMonitorAlgorithm,'AnotherExampleMonAlg')
 
    # # If for some really obscure reason you need to instantiate an algorithm
    # # yourself, the AddAlgorithm method will still configure the base 
    # # properties and add the algorithm to the monitoring sequence.
    # helper.AddAlgorithm(myExistingAlg)
 
 
    
 
    
 
    # # Then, add a tool that doesn't have its own configuration function. In
    # # this example, no accumulator is returned, so no merge is necessary.
    # from MyDomainPackage.MyDomainPackageConf import MyDomainTool
    # exampleMonAlg.MyDomainTool = MyDomainTool()
 
    # Add a generic monitoring tool (a "group" in old language). The returned 
    # object here is the standard GenericMonitoringTool.
    myGroup = helper.addGroup(
        exampleMonAlg,
        'ExampleMonitor',
        'OneRing/'
    )
 
    # Add a GMT for the other example monitor algorithm
    anotherGroup = helper.addGroup(anotherExampleMonAlg,'ExampleMonitor')
 
 
    
    myGroup.defineHistogram('lumiPerBCID',title='Luminosity,WithCommaInTitle;L/BCID;Events',
                            path='ToRuleThemAll',xbins=40,xmin=0.0,xmax=80.0)
    myGroup.defineHistogram('lb', title='Luminosity Block;lb;Events',
                            path='ToFindThem',xbins=1000,xmin=-0.5,xmax=999.5,weight='testweight')
    myGroup.defineHistogram('random;random2', title='LB;x;Events',
                            path='ToBringThemAll',xbins=30,xmin=0,xmax=1,opt='kLBNHistoryDepth=10')
    myGroup.defineHistogram('random', title='title;x;y',path='ToBringThemAll',
                            xbins=[0,.1,.2,.4,.8,1.6])
    myGroup.defineHistogram('random,pT', type='TH2F', title='title;x;y',path='ToBringThemAll',
                            xbins=[0,.1,.2,.4,.8,1.6],ybins=[0,10,30,40,60,70,90])
    # specify a merge method
    myGroup.defineHistogram('lumiPerBCID;lumiPerBCID_merge',title='Luminosity,WithCommaInTitle;L/BCID;Events',
                            path='ToRuleThemAll',xbins=40,xmin=0.0,xmax=80.0, merge='weightedAverage')
    # use strings as bin labels
    myGroup.defineHistogram('evtstr', title='Event number as string;Event number;Events',
                            xbins=2500, path='ToRuleThemAll', merge='merge')
    # TEfficiencies
    myGroup.defineHistogram('pT_passed,pT', type='TEfficiency', title='Test TEfficiency;x;Eff',
                            path='AndInTheDarkness', xbins=100, xmin=0.0, xmax=50.0)
    myGroup.defineHistogram('pT_passed,pT,random', type='TEfficiency', title='Test TEfficiency 2D;x;y;Eff',
                            path='AndInTheDarkness', xbins=100, xmin=0.0, xmax=50.0,
                            ybins=10, ymin=0.0, ymax=2.0)
    # # use a cutmask to only fill certain events
    myGroup.defineHistogram('pT;pT_with_cut', title='p_{T};p_{T};Events', path='AndInTheDarkness',
                             xbins=50, xmin=0, xmax=50, cutmask='pT_passed')
    # make a plot which will always exist, even though it is never filled
    myGroup.defineHistogram('dummy;alwaysempty', title='Plot is always empty', path='AndInTheDarkness',
                             xbins=50, xmin=0, xmax=50, opt='kAlwaysCreate')
    # make a TTree
    myGroup.defineTree('pT,lb,pT_vec,strvec,str;testtree', path='BindThem',
                        treedef='pT/F:lb/i:pT_vec/vector<float>:strvec/vector<string>:str/string')
 
    anotherGroup.defineHistogram('lbWithFilter',title='Lumi;lb;Events',
                                 path='top',xbins=1000,xmin=-0.5,xmax=999.5)
    anotherGroup.defineHistogram('run',title='Run Number;run;Events',
                                 path='top',xbins=1000000,xmin=-0.5,xmax=999999.5)
 
    # Example defining an array of histograms. This is useful if one seeks to create a
    # number of histograms in an organized manner. (For instance, one plot for each ASIC
    # in the subdetector, and these components are mapped in eta, phi, and layer.) Thus,
    # one might have an array of TH1's such as quantity[etaIndex][phiIndex][layerIndex].
    for alg in [exampleMonAlg, anotherExampleMonAlg]:
        # Using an array of groups
        topPath = 'OneRing' if alg == exampleMonAlg else 'top'
        array = helper.addArray([2],alg,'ExampleMonitor', topPath=topPath)
        array.defineHistogram('a,b',title='AB',type='TH2F',path='Eta',
                              xbins=10,xmin=0.0,xmax=10.0,
                              ybins=10,ymin=0.0,ymax=10.0)
        array.defineHistogram('c',title='C',path='Eta',
                              xbins=10,xmin=0.0,xmax=10.0)
        array = helper.addArray([4,2],alg,'ExampleMonitor', topPath=topPath)
        array.defineHistogram('a',title='A',path='EtaPhi',
                              xbins=10,xmin=0.0,xmax=10.0)
 
        # Using a map of groups
        layerList = ['layer1', 'layer2']
        clusterList = ['clusterX', 'clusterB']
        array1D = helper.addArray([layerList], alg, 'ExampleMonitor', topPath=topPath)
        array1D.defineHistogram('c', title='C', path='Layer',
                                xbins=10, xmin=0, xmax=10.0)
        array2D = helper.addArray([layerList, clusterList], alg, 'ExampleMonitor', topPath=topPath)
        array2D.defineHistogram('c', title='C', path='LayerCluster',
                                xbins=10, xmin=0, xmax=10.0)
 
        # Using templates for histogram titles or paths
        array1D.defineHistogram('c', title='Layer {0}', path='Keys', xmax=3.)
        array1D.defineHistogram('c;c_alternate', title='Layer', path='Keys/{0}', xmax=3.)
        array1D.defineHistogram('c;c_{0}_formatted', path='Keys', xmax=3.)
        array2D.defineHistogram('c', title='Cluster {1}, Layer {0}', path='Keys/{1}', xmax=3.)
 
        # Making a histogram only for certain elements of the array
        array2D.defineHistogram('c;c_restricted', path='Keys', pattern=[('layer1', 'clusterB'), ('layer2', 'clusterX')])
 
    
    return helper.result()
    
    # # Otherwise, merge with result object and return
    # acc = helper.result()
    # result.merge(acc)
    # return result
 