Classes
class	L1CaloMonitorCfgHelper

Functions
	LVL1CaloMonitoringConfig (flags)

Variables
	flags = initConfigFlags()
	useTrigger
	Environment
	DataType
	enableLumiAccess
	h = L1CaloMonitorCfgHelper(flags,CompFactory.JfexSimMonitorAlgorithm,"MyAlg")
	type
	path
	hanConfig
	thresholdConfig

Function Documentation

◆ LVL1CaloMonitoringConfig()

LVL1CaloMonitoringConfig.LVL1CaloMonitoringConfig ( flags )

Function to call l1calo DQ monitoring algorithms

Definition at line 435 of file LVL1CaloMonitoringConfig.py.

def LVL1CaloMonitoringConfig(flags):
    '''Function to call l1calo DQ monitoring algorithms'''
    from AthenaConfiguration.ComponentAccumulator import ComponentAccumulator
    from AthenaConfiguration.Enums import Format
    import logging
 
    # local printing
    local_logger = logging.getLogger('AthenaMonitoringCfg')
    info = local_logger.info
    info('In LVL1CaloMonitoringConfig')
 
    result = ComponentAccumulator()
 
    # If we're not putting trigger objects in event store, can't monitor them
    if not flags.Trigger.Online.isPartition:
        if not flags.DQ.triggerDataAvailable:
            return result
 
    isData = not flags.Input.isMC
 
    # check if validation requested
    validation=flags.DQ.Steering.LVL1Calo.doValidation
 
    # monitoring algorithm configs
    # do not run on MC or  RAW->ESD(tier0), or AOD-only
    if not validation and isData and flags.DQ.Environment not in ('tier0Raw', 'AOD'):
 
        from TrigT1CaloMonitoring.PprMonitorAlgorithm import PprMonitoringConfig
        from TrigT1CaloMonitoring.JepJemMonitorAlgorithm import JepJemMonitoringConfig
 
        # Use metadata to check Run3 compatible trigger info is available  
        from AthenaConfiguration.AutoConfigFlags import GetFileMD
        md = GetFileMD(flags.Input.Files)
        inputContainsRun3FormatConfigMetadata = ("metadata_items" in md and any(('TriggerMenuJson' in key) for key in md["metadata_items"].keys()))
        result.merge(PprMonitoringConfig(flags))
        result.merge(JepJemMonitoringConfig(flags))
        if flags.Input.Format is not Format.POOL or inputContainsRun3FormatConfigMetadata:
            # L1 menu available in the POOL file
 
            # since the legacy system started getting turned off in 2024, use detMask to determine
            # which things are included, and therefore need monitoring ...
            import eformat
            detMask=eformat.helper.DetectorMask(f'{md.get("detectorMask",[0x0])[0]:032x}') #DetectorMask constructor swallows two 64bit ints
            hasCPM = detMask.is_set(eformat.helper.SubDetector.TDAQ_CALO_CLUSTER_PROC_DAQ)
            hasJEP = detMask.is_set(eformat.helper.SubDetector.TDAQ_CALO_JET_PROC_DAQ)
 
            if hasCPM:
                from TrigT1CaloMonitoring.CpmMonitorAlgorithm import CpmMonitoringConfig
                from TrigT1CaloMonitoring.CpmSimMonitorAlgorithm import CpmSimMonitoringConfig
                result.merge(CpmMonitoringConfig(flags))
                result.merge(CpmSimMonitoringConfig(flags))
 
            if hasJEP:
                from TrigT1CaloMonitoring.JepCmxMonitorAlgorithm import JepCmxMonitoringConfig
                result.merge(JepCmxMonitoringConfig(flags))
 
            from TrigT1CaloMonitoring.OverviewMonitorAlgorithm import OverviewMonitoringConfig
            from TrigT1CaloMonitoring.PPMSimBSMonitorAlgorithm import PPMSimBSMonitoringConfig
            result.merge(PPMSimBSMonitoringConfig(flags))
            result.merge(OverviewMonitoringConfig(flags))
 
            if not hasCPM:
                # CPM was disabled for run 480893 onwards, so stop monitoring that part
                OverviewMonAlg = result.getEventAlgo("OverviewMonAlg")
                OverviewMonAlg.CPMErrorLocation = ""
                OverviewMonAlg.CPMMismatchLocation = ""
 
            if  flags.Input.TriggerStream == "physics_Mistimed":
                from TrigT1CaloMonitoring.MistimedStreamMonitorAlgorithm import MistimedStreamMonitorConfig
                result.merge(MistimedStreamMonitorConfig(flags))
 
        # For running on bytestream data
        if flags.Input.Format is Format.BS:
            from TrigT1CaloByteStream.LVL1CaloRun2ByteStreamConfig import LVL1CaloRun2ReadBSCfg
            result.merge(LVL1CaloRun2ReadBSCfg(flags))
 
        # Phase 1 monitoring of inputs and sim-vs-hw
        if flags.Trigger.enableL1CaloPhase1 and flags.Input.Format is not Format.POOL:
 
            # run the L1Calo simulation (causes conflicts with DAOD)
            from L1CaloFEXSim.L1CaloFEXSimCfg import L1CaloFEXSimCfg
            result.merge(L1CaloFEXSimCfg(flags))
 
            #efex monitoring
            if flags.Trigger.L1.doeFex:
                from TrigT1CaloMonitoring.EfexInputMonitorAlgorithm import EfexInputMonitoringConfig
                result.merge(EfexInputMonitoringConfig(flags))
 
                # monitoring of simulation vs hardware
                from TrigT1CaloMonitoring.EfexSimMonitorAlgorithm import EfexSimMonitoringConfig
                result.merge(EfexSimMonitoringConfig(flags))
 
            #gfex monitoring 
            if flags.Trigger.L1.dogFex:
                #gfex input monitoring 
                from TrigT1CaloMonitoring.GfexInputMonitorAlgorithm import GfexInputMonitoringConfig
                result.merge(GfexInputMonitoringConfig(flags))
 
                from TrigT1CaloMonitoring.GfexSimMonitorAlgorithm import GfexSimMonitoringConfig
                result.merge(GfexSimMonitoringConfig(flags))
 
            #jfex monitoring 
            if flags.Trigger.L1.dojFex:
                #jfex monitoring for input data
                from TrigT1CaloMonitoring.JfexInputMonitorAlgorithm import JfexInputMonitoringConfig
                result.merge(JfexInputMonitoringConfig(flags))
            
                #jfex monitoring for Data Vs Simulation
                from TrigT1CaloMonitoring.JfexSimMonitorAlgorithm import JfexSimMonitoringConfig
                JfexSimMonitoring = JfexSimMonitoringConfig(flags)
                result.merge(JfexSimMonitoring)
 
            if flags.Trigger.L1.doTopo and isData:
                #L1TopoSimulation (with monitoring Off to avoid clash with next call)
                from L1TopoSimulation.L1TopoSimulationConfig import L1TopoSimulationCfg
                result.merge(L1TopoSimulationCfg(flags,readMuCTPI=True,doMonitoring=False, useMuonDecoder=True, writeMuonRoIs = False))
                #L1TopoOnlineMonitoring specific for L1Calo DQPlots
                from L1TopoOnlineMonitoring.L1TopoOnlineMonitoringConfig import Phase1TopoMonitoringCfg
                result.merge(Phase1TopoMonitoringCfg(flags))
 
    # run FEX output monitoring if doing validation or running on data not @ tier0 or on AOD
    if validation or (isData and flags.DQ.Environment not in ('tier0Raw', 'AOD')):
 
        if validation:
            # only run this monitoring if doing validation
            from TrigT1CaloMonitoring.L1CaloLegacyEDMMonitorAlgorithm import L1CaloLegacyEDMMonitoringConfig
            result.merge(L1CaloLegacyEDMMonitoringConfig(flags))
        
        #efex monitoring
        if flags.Trigger.L1.doeFex:
            from TrigT1CaloMonitoring.EfexMonitorAlgorithm import EfexMonitoringConfig
            result.merge(EfexMonitoringConfig(flags))
            from TrigT1CaloMonitoring.EfexMonitorAlgorithm import EfexMonitoringHistConfig
            result.merge(EfexMonitoringHistConfig(flags,result.getEventAlgo('EfexMonAlg')))
 
        #gfex monitoring
        if flags.Trigger.L1.dogFex:
            from TrigT1CaloMonitoring.GfexMonitorAlgorithm import GfexMonitoringConfig
            result.merge(GfexMonitoringConfig(flags))
        
        #jfex monitoring
        if flags.Trigger.L1.dojFex:
            from TrigT1CaloMonitoring.JfexMonitorAlgorithm import JfexMonitoringConfig
            result.merge(JfexMonitoringConfig(flags))
 
        # jet efficiency monitoring -- needs either gfex or jfex to be worth scheduling
        if flags.Trigger.L1.dojFex or flags.Trigger.L1.dogFex:
            from TrigT1CaloMonitoring.JetEfficiencyMonitorAlgorithm import JetEfficiencyMonitoringConfig
            result.merge(JetEfficiencyMonitoringConfig(flags))
 
    result.printConfig( withDetails= True )
 
    return result
 