JetAnalysisCommon.py

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# Copyright (C) 2002-2021 CERN for the benefit of the ATLAS collaboration
 
 
"""
JetAnalysisCommon
 
This module defines various components to be used in AnalysisBase releases.
These components (classes, submodules...) can be used in place of some Athena components
they are replacing, so athena-style configuration can be used unchanged in AnalysisBase
 
This module is thus designed ONLY for AnalysisBase and to run EventLoop jobs.
 
IMPORTANT : this module is only designed so the jet configuration works. There's no guarantee it won't mess up
when used with other part of Athena configuration.
 
Internally, the athena-style configurations of algorithms are translated to AnaReentrantAlgorithmConfig or 
AnaAlgorithmConfig. The configuration of AsgTools are translated to call to AnaAlgorithmConfig.addPrivateTool() 
or AnaAlgorithmConfig.setPropertyFromString()
 
This module allows to write python config for EventLoop exactly as one would do for Athena :
 
alg1 = CompFactory.MyAlg("algname",
                         InputContainer = "SomeJets".
                         Aparameter=4.305,
                         AprivateTool = CompFactory.SomeTool("tool", AToolparam =0.21), )
alg2 = CompFactory.AnOtherAlg( ... )
 
job = ROOT.EL.Jon()
 ...
job.addManyAlgs([alg1, alg2]) # specific call allowed by this module
 
driver = ROOT.EL.DirectDriver()
driver.submit( job, "out")
 
"""
 
 
from types import  ModuleType
import ROOT
 
 
# #*******************************************************************
# reset the base logging class : the one set by xAH breaks AthenaCommon.Logging
import logging
logging.setLoggerClass( logging.Logger ) 
    
# #*******************************************************************
 
 
def stringPropValue( value ):
     """Helper function producing a string property value"""
 
     stringValue = str( value )
     if isinstance( value, bool ):
         stringValue = str( int( value ) )
         pass
     return stringValue
 
class ConfArray:
    """A simplistic array of Configured (see below) to replace the ToolHandleArray of Athena """
    def __init__(self, key, conflist , parent):
        self.key = key
        self._parent = parent
        self.conflist=[]
        self += conflist
 
    def __iadd__(self, conflist):
        self.conflist += conflist
        for conf in conflist:
            conf.setparent(self._parent)  
            conf._name = self.key
 
    def __iter__(self):
        return iter(self.conflist)
            
    def append(self, conf):
        self += [conf]
        
    def assignAllProperties(self, anaAlg):
        self._anaAlg = anaAlg
        for conf in self.conflist:
            actualName = anaAlg.createPrivateToolInArray(conf.fullname(), conf.type)
            conf._name = actualName.split('.')[-1] # because AnaAlgorithmConfig will assign it's own naming scheme
            conf.assignAllProperties(anaAlg)
            
            
class Configured:
    """A replacement for Athena auto-generated Configured python class.
    Configured has the same interface as its Athena counterpart and can describe both Tools and Algorithms
 
    This is a base class. The system replacing CompFactory will generate a derived class for each c++ Tool/Algorithm
    to hold the configuration of such tool/alg  (see generateConfigured())
    """
    _properties=set()
    _parent = None
    _anaAlg = None
    # the list of properties and attribute memeber which are allowed to be set.
    # The full list will be generated for each class when actual classes are build in generateConfigured
    _allowed = ['_properties', '_name', '_parent', '_anaAlg']
 
    def __init__(self, name, **props):
        self._name = name
        self._properties = set()
        for k,v in props.items():
            setattr(self,k,v)
 
    def __setattr__(self, k, v):
        if k in self._allowed:
            self._setattrImpl(k,v)
        else:
            raise AttributeError("Configuration of Tool {} / {} . can't set attribute : {}".format(self.type, self._name, k) )
 
    def _setattrImpl(self, k, v) :
        super().__setattr__(k,v)
        if k[0] == '_' :
            # this is not a Property 
            return
 
        if isinstance(v, Configured):
            if k in self._properties:
                raise RuntimeError( "Configuring {} / {} : Tool for property {} already exists".format(self.type, self._name, k) )
            # it's a tool:
            v.setparent(self)
            v._name = k
        elif isinstance(v, (list, tuple) ):
            if isinstance(v[0], Configured):
                v = ConfArray(k,v, self)
                super().__setattr__(k,v)                
        self._properties.add(k)
        if self._anaAlg:
            self.setPropToAnaAlg( k , v)
 
 
    def getName(self):
        return self._name
    
    def setparent(self, parent):
        self._parent = parent
 
    def prefixed(self, k):
        if self._parent is None: return k
        return self.fullname()+'.'+k
 
    def ancestors(self):
        if self._parent is None : return [self]
        return self._parent.ancestors()+[self]
    
    def fullname(self):
        parents = self.ancestors()[1:]
        return '.'.join([p._name for p in parents])
        
    def properties(self):
        return [ (k, getattr(self,k)) for k in self._properties]
 
    def typeAndName(self):
        return self.type+'/'+self._name
 
    def asAnaAlg(self):
        if issubclass(self._cppclass, ROOT.EL.AnaReentrantAlgorithm):
            alg=ROOT.EL.AnaReentrantAlgorithmConfig()
        else:
            alg=ROOT.EL.AnaAlgorithmConfig()
 
        alg.setTypeAndName( self.typeAndName() )
        self.assignAllProperties(alg)
        return alg
 
    def assignAllProperties(self, anaAlg):
        self._anaAlg = anaAlg 
        for (k,v) in self.properties():
            self.setPropToAnaAlg(k,v)
            
    def setPropToAnaAlg(self, k, v):
        alg=self._anaAlg
        if isinstance(v , Configured):
            # it must be a Tool :
            alg.createPrivateTool(v.fullname(), v.type)
            v.assignAllProperties(alg)
        elif isinstance(v, ConfArray ):
            # it is a Tool array 
            v.assignAllProperties(alg)
        else:
            # any other type :
            alg.setPropertyFromString(self.prefixed(k) , stringPropValue( v ) )
 
    def getType(self):
        return self.type
        
def generateConfigured(classname, cppclass, prefix=""):
    import cppyy
 
    # get an instance of the class :
    if issubclass(cppclass, cppyy.gbl.asg.IAsgTool):
        dummy = cppclass('dummy')
    else: # then it's an Algorithm
        dummy = cppclass('dummy', 0)
 
    # find all the properties of the Tool/Algorithm
    allowedProp = Configured._allowed + [k for k,v in  dummy.getPropertyMgr().getProperties() ]
    # generate the class derived from Configured for this Tool/Alg
    klass=type(classname+'Conf', (Configured,), dict(_allowed=allowedProp,
                                                              type=prefix+classname,_cppclass=cppclass) )
 
    return klass
 
class ConfNameSpace:
    """A namespace able to automatically generate Configured when quering attributes :
    Used to replace CompFactory so that expressions like :
      tool = CompFactory.Trk.SomeTrkTool("tname", Prop=2.345) 
      tool = CompFactory.getComp("Trk::SomeTrkTool")("tname", Prop=2.345) 
    works. 
    In the above 2 examples both CompFactory and Trk are ConfNameSpace
    """
    def __init__(self, name=""):
        self.prefix=name+"::" if name !="" else ""
 
    def __getattr__(self, t):
        return self.getComp(t)
 
    def getComp(self, classname):
        """generates a new Configured class for the C++ class ROOT.classname .
         This implies there must be a dictionnary for classname.
        """
 
        # if we already generated the class, return it :
        c = self.__dict__.get(classname, None)
        if c is not None:
            return  c
 
        # look for the c++ class from ROOT :
        c=getattr(ROOT, self.prefix+classname, None)
 
        if c is None:
            print("JetAnalysisCommon ERROR : ",classname," is not a known C++ tool, alg, or namespace ")
            raise
            
        if hasattr(c,'getPropertyMgr'):
            conf = generateConfigured(classname,c,self.prefix)
        else:
            # not a configurable. Must be a namespace
            conf = ConfNameSpace(self.prefix+classname)
 
        # save this new class onto self : 
        setattr(self, classname, conf)
        return conf
    
    def addNameSpaces(self, *nsList):
        for ns in nsList:
            setattr(self, ns, ConfNameSpace(self.prefix+ns))
        
 
    
# ----------------------------
# A replacement for CompFactory
CompFactory = ConfNameSpace()
# Add known namespaces  : 
CompFactory.addNameSpaces( 'Analysis', 'Trk', 'Jet', 'Sim',)
 
# Make a pseudo-Module :
ComponentFactory = ModuleType("ComponentFactory")
ComponentFactory.CompFactory = CompFactory
 
ComponentFactory.isComponentAccumulatorCfg = lambda : True
 
 
#*******************************************************************
# replacements for CFElements
def parOR(name):
    pass
CFElements = ModuleType("CFElements")
CFElements.parOR = parOR
 
 
#*******************************************************************
 
class ComponentAccumulatorMockUp:
    """Provdide similar interface than AthenaConfiguration.ComponentAccumulator and also very simplistic
    merging of list of algorithms 
    """
    def __init__(self, name="ca"):
        self.name = name
        self.algs = []
 
    def __iter__(self):
        return iter(self.algs)
    
    def addSequence(self, seqName):
        pass
    def addEventAlgo(self, alg, primary=False, sequenceName=""):
        self.algs +=[alg]
        setattr(self, alg._name, alg)
        
    def merge(self, ca, sequenceName=""):
        myTNs = set( alg.typeAndName() for alg in self.algs)
        for alg in ca.algs:
            tn = alg.typeAndName()
            if tn not in myTNs:
                self.algs.append(alg)
                setattr(self, alg._name, alg)
        
 
ComponentAccumulator = ModuleType("ComponentAccumulator")
ComponentAccumulator.ComponentAccumulator = ComponentAccumulatorMockUp
 
 
 
 
#*******************************************************************
#
def addManyAlgs(job, algList):
    """a little configuration function added from the python module JetAnalysisCommon.py to easily schedule
    # a list of Configured algs as defined by this module."""
    for alg in algList:
        job.algsAdd( alg.asAnaAlg() )
 
ROOT.EL.Job.addManyAlgs = addManyAlgs        
 
 
#*******************************************************************
# hack the list of modules in sys so that the Athena config modules are found and redirected
# to what we have defined in this module 
import sys
JetAnalysisCommon = sys.modules[__name__]
 
#import AthenaConfiguration, AthenaCommon
sys.modules['AthenaConfiguration.ComponentFactory'] = JetAnalysisCommon.ComponentFactory
sys.modules['AthenaConfiguration.ComponentAccumulator'] = JetAnalysisCommon.ComponentAccumulator
sys.modules['AthenaCommon.CFElements'] = JetAnalysisCommon.CFElements
 
 
def mock_JetRecTools():
    """Allows to ignore JetRecTools in case this package is not checked out on top of AnalysisBase"""
    sys.modules['JetRecTools'] = ModuleType('JetRecTools')
    sys.modules['JetRecTools.JetRecToolsConfig'] = ModuleType('JetRecToolsConfig')
 
 
    
#*******************************************************************
# hacks specific to jets
 
import JetRecConfig.JetRecConfig as JetRecConfig
 
# In Athena the jet config relies on the automatic scheduling of algorithms
# which relies on Read/WriteHandles to correctly order them.
# There's no such automatic ordering in EventLoop.
# We thus need to add a step in AnalysisBase to make sure inputs algs to jet finder are
# correctly ordered.
# For this we redefine the original JetRecConfig.JetRecCfg function. 
 
JetRecConfig.JetRecCfg_original = JetRecConfig.JetRecCfg
def JetRecCfg_reorder(jetdef, flags, returnFinalJetDef=False):
    """Builds the algs with JetRecConfig.JetRecCfg and then make sure
    they are in proper order.
    Re-ordering is done manually, according to various input alg type.
    """
    res = JetRecConfig.JetRecCfg_original(flags, jetdef , returnFinalJetDef)
 
    acc , _ = res if returnFinalJetDef else (res,None)
    algs = acc.algs
 
    # ************
    # reorder EventDensity and PseudoJetAlg 
    if not hasattr(ROOT, 'EventDensityAthAlg'):
        return res 
    evtDensityAlgs = [ (i,alg) for (i,alg) in enumerate(algs) if alg._cppclass == ROOT.EventDensityAthAlg ]
    pjAlgs = [ (i,alg) for (i,alg) in enumerate(algs) if alg._cppclass == ROOT.PseudoJetAlgorithm ]
    pairsToswap = []
    for i,edalg in evtDensityAlgs:
        edInput = edalg.EventDensityTool.InputContainer
        for j,pjalg in pjAlgs:
            if j<i: continue 
            if edInput == pjalg.OutputContainer:
                pairsToswap.append( (i,j) )
    for (i,j) in pairsToswap:
        algs[i], algs[j] = algs[j], algs[i]
 
    # ************
    # if there were other types of alg which need re-rordering
    # we could add the specific re-ordering code below ...
    
    return res
 
JetRecConfig.JetRecCfg = JetRecCfg_reorder