class PostProcessor:
def __init__(self,
outputDir,
inputFiles,
cut=None,
branchsel=None,
modules=[],
compression="LZMA:9",
friend=False,
postfix=None,
jsonInput=None,
noOut=False,
justcount=False,
provenance=False,
haddFileName=None,
fwkJobReport=False,
histFileName=None,
histDirName=None,
outputbranchsel=None,
maxEntries=None,
firstEntry=0,
prefetch=False,
longTermCache=False):
self.outputDir = outputDir
self.inputFiles = inputFiles
self.cut = cut
self.modules = modules
self.compression = compression
self.postfix = postfix
self.json = jsonInput
self.noOut = noOut
self.friend = friend
self.justcount = justcount
self.provenance = provenance
self.jobReport = JobReport() if fwkJobReport else None
self.haddFileName = haddFileName
self.histFile = None
self.histDirName = None
if self.jobReport and not self.haddFileName:
print("Because you requested a FJR we assume you want the final " \
"hadd. No name specified for the output file, will use tree.root")
self.haddFileName = "tree.root"
self.branchsel = BranchSelection(branchsel) if branchsel else None
if outputbranchsel != None:
self.outputbranchsel = BranchSelection(outputbranchsel)
elif outputbranchsel == None and branchsel != None:
# Use the same branches in the output as in input
self.outputbranchsel = BranchSelection(branchsel)
else:
self.outputbranchsel = None
self.histFileName = histFileName
self.histDirName = histDirName
# 2^63 - 1, largest int64
self.maxEntries = maxEntries if maxEntries else 9223372036854775807
self.firstEntry = firstEntry
self.prefetch = prefetch # prefetch files to TMPDIR using xrdcp
# keep cached files across runs (it's then up to you to clean up the temp)
self.longTermCache = longTermCache
def prefetchFile(self, fname, verbose=True):
tmpdir = os.environ['TMPDIR'] if 'TMPDIR' in os.environ else "/tmp"
if not fname.startswith("root://"):
return fname, False
rndchars = "".join([hex(ord(i))[2:] for i in os.urandom(
8)]) if not self.longTermCache else "long_cache-id%d-%s" \
% (os.getuid(), hashlib.sha1(fname).hexdigest())
localfile = "%s/%s-%s.root" \
% (tmpdir, os.path.basename(fname).replace(".root", ""), rndchars)
if self.longTermCache and os.path.exists(localfile):
if verbose:
print("Filename %s is already available in local path %s " \
% (fname, localfile))
return localfile, False
try:
if verbose:
print("Filename %s is remote, will do a copy to local path %s"\
% (fname, localfile))
start = time.time()
subprocess.check_output(["xrdcp", "-f", "-N", fname, localfile])
if verbose:
print("Time used for transferring the file locally: %.2f s"\
% (time.time() - start))
return localfile, (not self.longTermCache)
except:
if verbose:
print(
"Error: could not save file locally, will run from remote")
if os.path.exists(localfile):
if verbose:
print("Deleting partially transferred file %s" % localfile)
try:
os.unlink(localfile)
except:
pass
return fname, False
def run(self):
outpostfix = self.postfix if self.postfix != None else (
"_Friend" if self.friend else "_Skim")
if not self.noOut:
if self.compression != "none":
ROOT.gInterpreter.ProcessLine("#include <Compression.h>")
(algo, level) = self.compression.split(":")
compressionLevel = int(level)
if algo == "LZMA":
compressionAlgo = ROOT.ROOT.kLZMA
elif algo == "ZLIB":
compressionAlgo = ROOT.ROOT.kZLIB
elif algo == "LZ4":
compressionAlgo = ROOT.ROOT.kLZ4
else:
raise RuntimeError("Unsupported compression %s" % algo)
else:
compressionLevel = 0
print("Will write selected trees to " + self.outputDir)
if not self.justcount:
if not os.path.exists(self.outputDir):
os.system("mkdir -p " + self.outputDir)
else:
compressionLevel = 0
if self.noOut:
if len(self.modules) == 0:
raise RuntimeError(
"Running with --noout and no modules does nothing!")
# Open histogram file, if desired
if (self.histFileName != None and self.histDirName == None) or (
self.histFileName == None and self.histDirName != None):
raise RuntimeError(
"Must specify both histogram file and histogram directory!")
elif self.histFileName != None and self.histDirName != None:
self.histFile = ROOT.TFile.Open(self.histFileName, "RECREATE")
else:
self.histFile = None
for m in self.modules:
if hasattr(m, 'writeHistFile') and m.writeHistFile:
m.beginJob(histFile=self.histFile,
histDirName=self.histDirName)
else:
m.beginJob()
fullClone = (len(self.modules) == 0)
outFileNames = []
t0 = time.time()
totEntriesRead = 0
for fname in self.inputFiles:
ffnames = []
if "," in fname:
fnames = fname.split(',')
fname, ffnames = fnames[0], fnames[1:]
# open input file
if self.prefetch:
ftoread, toBeDeleted = self.prefetchFile(fname)
inFile = ROOT.TFile.Open(ftoread)
else:
inFile = ROOT.TFile.Open(fname)
# get input tree
inTree = inFile.Get("Events")
if inTree == None:
inTree = inFile.Get("Friends")
nEntries = min(inTree.GetEntries() - self.firstEntry,
self.maxEntries)
totEntriesRead += nEntries
# pre-skimming
elist, jsonFilter = preSkim(inTree,
self.json,
self.cut,
maxEntries=self.maxEntries,
firstEntry=self.firstEntry)
if self.justcount:
print('Would select %d / %d entries from %s (%.2f%%)' %
(elist.GetN() if elist else nEntries, nEntries, fname,
(elist.GetN() if elist else nEntries) /
(0.01 * nEntries) if nEntries else 0))
if self.prefetch:
if toBeDeleted:
os.unlink(ftoread)
continue
else:
print('Pre-select %d entries out of %s (%.2f%%)' %
(elist.GetN() if elist else nEntries, nEntries,
(elist.GetN() if elist else nEntries) /
(0.01 * nEntries) if nEntries else 0))
inAddFiles = []
inAddTrees = []
for ffname in ffnames:
inAddFiles.append(ROOT.TFile.Open(ffname))
inAddTree = inAddFiles[-1].Get("Events")
if inAddTree == None:
inAddTree = inAddFiles[-1].Get("Friends")
inAddTrees.append(inAddTree)
inTree.AddFriend(inAddTree)
if fullClone:
# no need of a reader (no event loop), but set up the elist if available
if elist:
inTree.SetEntryList(elist)
else:
# initialize reader
inTree = InputTree(inTree, elist)
# prepare output file
if not self.noOut:
outFileName = os.path.join(
self.outputDir,
os.path.basename(fname).replace(".root",
outpostfix + ".root"))
outFile = ROOT.TFile.Open(outFileName, "RECREATE", "",
compressionLevel)
outFileNames.append(outFileName)
if compressionLevel:
outFile.SetCompressionAlgorithm(compressionAlgo)
# prepare output tree
if self.friend:
outTree = FriendOutput(inFile, inTree, outFile)
else:
outTree = FullOutput(
inFile,
inTree,
outFile,
branchSelection=self.branchsel,
outputbranchSelection=self.outputbranchsel,
fullClone=fullClone,
maxEntries=self.maxEntries,
firstEntry=self.firstEntry,
jsonFilter=jsonFilter,
provenance=self.provenance)
else:
outFile = None
outTree = None
if self.branchsel:
self.branchsel.selectBranches(inTree)
# process events, if needed
if not fullClone:
eventRange = range(
self.firstEntry, self.firstEntry +
nEntries) if nEntries > 0 and not elist else None
(nall, npass, timeLoop) = eventLoop(self.modules,
inFile,
outFile,
inTree,
outTree,
eventRange=eventRange,
maxEvents=self.maxEntries)
print(
'Processed %d preselected entries from %s (%s entries). Finally selected %d entries'
% (nall, fname, nEntries, npass))
else:
nall = nEntries
print('Selected %d / %d entries from %s (%.2f%%)' %
(outTree.tree().GetEntries(), nall, fname,
outTree.tree().GetEntries() /
(0.01 * nall) if nall else 0))
# now write the output
if not self.noOut:
outTree.write()
outFile.Close()
print("Done %s" % outFileName)
if self.jobReport:
self.jobReport.addInputFile(fname, nall)
if self.prefetch:
if toBeDeleted:
os.unlink(ftoread)
for m in self.modules:
m.endJob()
print("Total time %.1f sec. to process %i events. Rate = %.1f Hz." %
((time.time() - t0), totEntriesRead, totEntriesRead /
(time.time() - t0)))
if self.haddFileName:
haddnano = "./haddnano.py" if os.path.isfile(
"./haddnano.py") else "haddnano.py"
os.system("%s %s %s" %
(haddnano, self.haddFileName, " ".join(outFileNames)))
if self.jobReport:
self.jobReport.addOutputFile(self.haddFileName)
self.jobReport.save()
def HarvestNanoAOD(inFileList, outFilePath, sample):
#
# Create the output file
#
print "Create Output File: %s" % (outFilePath)
f = ROOT.TFile(outFilePath, "RECREATE")
f.cd()
#
# Initialize the tree jet
#
treeName = "TreeFatJet"
isMC_QCD = "QCD" in sample
print "Create Output Tree: %s" % (treeName)
TreeFatJet = ROOT.TTree(treeName, treeName)
#
# FatJet branch
#
nFatJetSizeMax = 25
nFatJetString = 'nFatJet'
nFatJet = bookIntBranch(TreeFatJet, nFatJetString)
FatJetPt = bookFloatArrayBranch(TreeFatJet, 'FatJet_pt', nFatJetString,
nFatJetSizeMax)
FatJetEta = bookFloatArrayBranch(TreeFatJet, 'FatJet_eta', nFatJetString,
nFatJetSizeMax)
FatJetPhi = bookFloatArrayBranch(TreeFatJet, 'FatJet_phi', nFatJetString,
nFatJetSizeMax)
FatJetM = bookFloatArrayBranch(TreeFatJet, 'FatJet_mass', nFatJetString,
nFatJetSizeMax)
FatJetTau21 = bookFloatArrayBranch(TreeFatJet, 'FatJet_tau21',
nFatJetString, nFatJetSizeMax)
FatJetTau31 = bookFloatArrayBranch(TreeFatJet, 'FatJet_tau31',
nFatJetString, nFatJetSizeMax)
FatJetTau32 = bookFloatArrayBranch(TreeFatJet, 'FatJet_tau32',
nFatJetString, nFatJetSizeMax)
FatJetDeepTagTvsQCD = bookFloatArrayBranch(TreeFatJet,
'FatJet_deepTag_TvsQCD',
nFatJetString, nFatJetSizeMax)
FatJetDeepTagWvsQCD = bookFloatArrayBranch(TreeFatJet,
'FatJet_deepTag_WvsQCD',
nFatJetString, nFatJetSizeMax)
FatJetDeepTagZvsQCD = bookFloatArrayBranch(TreeFatJet,
'FatJet_deepTag_ZvsQCD',
nFatJetString, nFatJetSizeMax)
FatJetDeepTagQCD = bookFloatArrayBranch(TreeFatJet, 'FatJet_deepTag_QCD',
nFatJetString, nFatJetSizeMax)
FatJetDeepTagQCDOthers = bookFloatArrayBranch(TreeFatJet,
'FatJet_deepTag_QCDothers',
nFatJetString,
nFatJetSizeMax)
FatJetDeepTagMDTvsQCD = bookFloatArrayBranch(TreeFatJet,
'FatJet_deepTagMD_TvsQCD',
nFatJetString, nFatJetSizeMax)
FatJetDeepTagMDWvsQCD = bookFloatArrayBranch(TreeFatJet,
'FatJet_deepTagMD_WvsQCD',
nFatJetString, nFatJetSizeMax)
FatJetDeepTagMDZvsQCD = bookFloatArrayBranch(TreeFatJet,
'FatJet_deepTagMD_ZvsQCD',
nFatJetString, nFatJetSizeMax)
FatJetMSoftDrop = bookFloatArrayBranch(TreeFatJet, 'FatJet_msoftdrop',
nFatJetString, nFatJetSizeMax)
FatJetRawFactor = bookFloatArrayBranch(TreeFatJet, 'FatJet_rawFactor',
nFatJetString, nFatJetSizeMax)
FatJetJetId = bookIntArrayBranch(TreeFatJet, 'FatJet_jetId', nFatJetString,
nFatJetSizeMax)
FatJetSubJetIdx1 = bookIntArrayBranch(TreeFatJet, 'FatJet_subJetIdx1',
nFatJetString, nFatJetSizeMax)
FatJetSubJetIdx2 = bookIntArrayBranch(TreeFatJet, 'FatJet_subJetIdx2',
nFatJetString, nFatJetSizeMax)
FatJetGenJetAK8Idx = bookIntArrayBranch(TreeFatJet, 'FatJet_genJetAK8Idx',
nFatJetString, nFatJetSizeMax)
#
# GenPart branch
#
if isMC_QCD == False:
nGenPartSizeMax = 1000
nGenPartString = 'nGenPart'
nGenPart = bookIntBranch(TreeFatJet, nGenPartString)
GenPartPt = bookFloatArrayBranch(TreeFatJet, 'GenPart_pt',
nGenPartString, nGenPartSizeMax)
GenPartEta = bookFloatArrayBranch(TreeFatJet, 'GenPart_eta',
nGenPartString, nGenPartSizeMax)
GenPartPhi = bookFloatArrayBranch(TreeFatJet, 'GenPart_phi',
nGenPartString, nGenPartSizeMax)
GenPartM = bookFloatArrayBranch(TreeFatJet, 'GenPart_mass',
nGenPartString, nGenPartSizeMax)
GenPartPdgId = bookIntArrayBranch(TreeFatJet, 'GenPart_pdgId',
nGenPartString, nGenPartSizeMax)
GenPartStatus = bookIntArrayBranch(TreeFatJet, 'GenPart_status',
nGenPartString, nGenPartSizeMax)
GenPartStatusFlags = bookIntArrayBranch(TreeFatJet,
'GenPart_statusFlags',
nGenPartString,
nGenPartSizeMax)
GenPartGenPartIdxMother = bookIntArrayBranch(
TreeFatJet, 'GenPart_genPartIdxMother', nGenPartString,
nGenPartSizeMax)
#
# GenJetAK8 branch
#
nGenJetAK8SizeMax = 25
nGenJetAK8String = 'nGenJetAK8'
nGenJetAK8 = bookIntBranch(TreeFatJet, nGenJetAK8String)
GenJetAK8Pt = bookFloatArrayBranch(TreeFatJet, 'GenJetAK8_pt',
nGenJetAK8String, nGenJetAK8SizeMax)
GenJetAK8Eta = bookFloatArrayBranch(TreeFatJet, 'GenJetAK8_eta',
nGenJetAK8String, nGenJetAK8SizeMax)
GenJetAK8Phi = bookFloatArrayBranch(TreeFatJet, 'GenJetAK8_phi',
nGenJetAK8String, nGenJetAK8SizeMax)
GenJetAK8M = bookFloatArrayBranch(TreeFatJet, 'GenJetAK8_mass',
nGenJetAK8String, nGenJetAK8SizeMax)
GenJetAK8HadronFlavour = bookIntArrayBranch(TreeFatJet,
'GenJetAK8_hadronFlavour',
nGenJetAK8String,
nGenJetAK8SizeMax)
GenJetAK8PartonFlavour = bookIntArrayBranch(TreeFatJet,
'GenJetAK8_partonFlavour',
nGenJetAK8String,
nGenJetAK8SizeMax)
#
# Subjet branch
#
nSubJetSizeMax = 50
nSubJetString = 'nSubJet'
nSubJet = bookIntBranch(TreeFatJet, nSubJetString)
SubJetPt = bookFloatArrayBranch(TreeFatJet, 'SubJet_pt', nSubJetString,
nSubJetSizeMax)
SubJetEta = bookFloatArrayBranch(TreeFatJet, 'SubJet_eta', nSubJetString,
nSubJetSizeMax)
SubJetPhi = bookFloatArrayBranch(TreeFatJet, 'SubJet_phi', nSubJetString,
nSubJetSizeMax)
SubJetM = bookFloatArrayBranch(TreeFatJet, 'SubJet_mass', nSubJetString,
nSubJetSizeMax)
SubJetRawFactor = bookFloatArrayBranch(TreeFatJet, 'SubJet_rawFactor',
nSubJetString, nSubJetSizeMax)
SubJetNBHadrons = bookIntArrayBranch(TreeFatJet, 'SubJet_nBHadrons',
nSubJetString, nSubJetSizeMax)
SubJetNCHadrons = bookIntArrayBranch(TreeFatJet, 'SubJet_nCHadrons',
nSubJetString, nSubJetSizeMax)
#
# SubGenJetAK8 branch
#
nSubGenJetAK8SizeMax = 50
nSubGenJetAK8String = 'nSubGenJetAK8'
nSubGenJetAK8 = bookIntBranch(TreeFatJet, nSubGenJetAK8String)
SubGenJetAK8Pt = bookFloatArrayBranch(TreeFatJet, 'SubGenJetAK8_pt',
nSubGenJetAK8String,
nSubGenJetAK8SizeMax)
SubGenJetAK8Eta = bookFloatArrayBranch(TreeFatJet, 'SubGenJetAK8_eta',
nSubGenJetAK8String,
nSubGenJetAK8SizeMax)
SubGenJetAK8Phi = bookFloatArrayBranch(TreeFatJet, 'SubGenJetAK8_phi',
nSubGenJetAK8String,
nSubGenJetAK8SizeMax)
SubGenJetAK8M = bookFloatArrayBranch(TreeFatJet, 'SubGenJetAK8_mass',
nSubGenJetAK8String,
nSubGenJetAK8SizeMax)
#
# PV branch
#
PVnpvs = bookIntBranch(TreeFatJet, 'nPVnpvs')
PVnpvsGood = bookIntBranch(TreeFatJet, 'nPVnpvsGood')
PileUpNTrueInt = bookFloatBranch(TreeFatJet, 'nPileUpNTrueInt')
PileUpNPU = bookIntBranch(TreeFatJet, 'nPileUpNPU')
#
# SetupTChain
#
tree = ROOT.TChain("Events")
for inFilePath in inFileList:
print 'Adding files: %s' % (inFilePath)
tree.Add(inFilePath)
tree.ls()
#
# Use TChain and Setup TTreeReader.
#
inTree = InputTree(tree)
#
#
#
if isMC_QCD: branchSel = BranchSelection("branchSel_QCD.txt")
else: branchSel = BranchSelection("branchSel.txt")
branchSel.selectBranches(inTree)
numEvents = inTree.GetEntries()
#
# Set max number of events to process
# Set to -1 if you want to run over all events
#
maxevents = -1
# maxevents = 1000
#
# Loop over events
#
print numEvents
for iev in xrange(0, numEvents):
# print iev
if maxevents > 0 and iev > maxevents:
break
if (iev) % 1000 == 0:
print "Processing event %d out of %d" % (iev, numEvents)
#
# Load Event
#
evt = Event(inTree, iev)
#
# Loop over fatjets
#
fatjets = Collection(evt, "FatJet")
nFatJet[0] = 0
for i, fj in enumerate(fatjets):
fj_p4 = fj.p4()
FatJetPt[i] = fj_p4.Pt()
FatJetEta[i] = fj_p4.Eta()
FatJetPhi[i] = fj_p4.Phi()
FatJetM[i] = fj_p4.M()
if fj.tau1 > 0:
FatJetTau21[i] = fj.tau2 / fj.tau1
else:
FatJetTau21[i] = -1
if fj.tau1 > 0:
FatJetTau31[i] = fj.tau3 / fj.tau1
else:
FatJetTau31[i] = -1
if fj.tau2 > 0:
FatJetTau32[i] = fj.tau3 / fj.tau2
else:
FatJetTau32[i] = -1
FatJetDeepTagMDTvsQCD[i] = fj.deepTagMD_TvsQCD
FatJetDeepTagMDWvsQCD[i] = fj.deepTagMD_WvsQCD
FatJetDeepTagMDZvsQCD[i] = fj.deepTagMD_ZvsQCD
FatJetDeepTagTvsQCD[i] = fj.deepTag_TvsQCD
FatJetDeepTagWvsQCD[i] = fj.deepTag_WvsQCD
FatJetDeepTagZvsQCD[i] = fj.deepTag_ZvsQCD
FatJetDeepTagQCD[i] = fj.deepTag_QCD
FatJetDeepTagQCDOthers[i] = fj.deepTag_QCDothers
FatJetMSoftDrop[i] = fj.msoftdrop
FatJetRawFactor[i] = fj.rawFactor
FatJetJetId[i] = fj.jetId
FatJetSubJetIdx1[i] = fj.subJetIdx1
FatJetSubJetIdx2[i] = fj.subJetIdx2
FatJetGenJetAK8Idx[i] = fj.genJetAK8Idx
nFatJet[0] += 1
#
# Loop over genparts
#
if isMC_QCD == False:
particles = Collection(evt, "GenPart")
nGenPart[0] = 0
for i, gp in enumerate(particles):
GenPartPt[i] = gp.pt
GenPartEta[i] = gp.eta
GenPartPhi[i] = gp.phi
GenPartM[i] = gp.mass
GenPartPdgId[i] = gp.pdgId
GenPartStatus[i] = gp.status
GenPartStatusFlags[i] = gp.statusFlags
GenPartGenPartIdxMother[i] = gp.genPartIdxMother
nGenPart[0] += 1
#
# Loop over GenJetAK8
#
jets = Collection(evt, "GenJetAK8")
nGenJetAK8[0] = 0
for i, gj in enumerate(jets):
GenJetAK8Pt[i] = gj.pt
GenJetAK8Eta[i] = gj.eta
GenJetAK8Phi[i] = gj.phi
GenJetAK8M[i] = gj.mass
GenJetAK8HadronFlavour[i] = gj.hadronFlavour
GenJetAK8PartonFlavour[i] = gj.partonFlavour
nGenJetAK8[0] += 1
#
# Subjet over GenJetAK8
#
subjets = Collection(evt, "SubJet")
nSubJet[0] = 0
for i, sj in enumerate(subjets):
SubJetPt[i] = sj.pt
SubJetEta[i] = sj.eta
SubJetPhi[i] = sj.phi
SubJetM[i] = sj.mass
SubJetRawFactor[i] = sj.rawFactor
SubJetNBHadrons[i] = sj.nBHadrons
SubJetNCHadrons[i] = sj.nCHadrons
nSubJet[0] += 1
#
# Subjet over GenJetAK8
#
subjets = Collection(evt, "SubGenJetAK8")
nSubGenJetAK8[0] = 0
for i, sj in enumerate(subjets):
SubGenJetAK8Pt[i] = sj.pt
SubGenJetAK8Eta[i] = sj.eta
SubGenJetAK8Phi[i] = sj.phi
SubGenJetAK8M[i] = sj.mass
nSubGenJetAK8[0] += 1
#
# Loop over PV
#
PVnpvs[0] = evt.PV_npvs
PVnpvsGood[0] = evt.PV_npvsGood
PileUpNTrueInt[0] = evt.Pileup_nTrueInt
PileUpNPU[0] = evt.Pileup_nPU
#
# Fill the tree for this event
#
TreeFatJet.Fill()
#
# Save the output ttree in the output file
#
print "Write tree to file"
f.Write()
#
# Gracefully close the output file
#
print "Closing output"
f.Close()
#now we will demonstrate running outside the Draw command which is more flexable
#however this is slooow so we do things to speed it up like
#pre skim things as it is slower with an entry list
#and dropping branches we dont need so we dont waste time reading them
#note I highly suggest you look into RDataFrames as that should be much faster
Events.Draw(
">>elist",
"Sum$(Electron_pt>25 && abs(Electron_eta+Electron_deltaEtaSC)<1.4442)>=1",
"entrylist goff", max_events)
elist = ROOT.gDirectory.Get('elist')
elist.SetDirectory(0) #removing it from the file not to write it out
Events.SetEntryList(elist)
branchsel = BranchSelection(
"EgammaUser/EgammaDAS2020/data/nano_electron_branches.txt")
branchsel.selectBranches(Events)
nr_events = elist.GetN()
#2nd way, bare event loop
for event_nr in range(0, nr_events):
entry_nr = Events.GetEntryNumber(event_nr)
Events.GetEntry(entry_nr)
event = Events
if event_nr % args.report == 0:
print("processing event {} / {} {}".format(event_nr, nr_events,
time.ctime()))
for ele_nr in range(0, event.nElectron):
if event.Electron_pt[ele_nr] > 25 and abs(
event.Electron_eta[ele_nr] +
event.Electron_deltaEtaSC[ele_nr]) < 1.4442:
if event.Electron_genPartIdx[ele_nr] >= 0:
class PostProcessor:
def __init__(self,
outputDir,
inputFiles,
cut=None,
branchsel=None,
modules=[],
compression="LZMA:9",
friend=False,
postfix=None,
jsonInput=None,
noOut=False,
justcount=False,
provenance=False,
haddFileName=None,
fwkJobReport=False,
histFileName=None,
histDirName=None,
outputbranchsel=None,
maxEntries=None,
firstEntry=0,
prefetch=False,
longTermCache=False,
saveHistoGenWeights=False,
allowNoPostfix=False):
self.outputDir = outputDir
self.inputFiles = inputFiles
self.cut = cut
self.modules = modules
self.compression = compression
self.postfix = postfix
self.allowNoPostfix = allowNoPostfix
self.json = jsonInput
self.noOut = noOut
self.friend = friend
self.justcount = justcount
self.provenance = provenance
self.jobReport = JobReport() if fwkJobReport else None
self.haddFileName = haddFileName
self.saveHistoGenWeights = saveHistoGenWeights
self.histFile = None
self.histDirName = None
if self.jobReport and not self.haddFileName:
print("Because you requested a FJR we assume you want the final " \
"hadd. No name specified for the output file, will use tree.root")
self.haddFileName = "tree.root"
self.branchsel = BranchSelection(branchsel) if branchsel else None
if outputbranchsel is not None:
self.outputbranchsel = BranchSelection(outputbranchsel)
elif outputbranchsel is None and branchsel is not None:
# Use the same branches in the output as in input
self.outputbranchsel = BranchSelection(branchsel)
else:
self.outputbranchsel = None
self.histFileName = histFileName
self.histDirName = histDirName
# 2^63 - 1, largest int64
self.maxEntries = maxEntries if maxEntries else 9223372036854775807
self.firstEntry = firstEntry
self.prefetch = prefetch # prefetch files to TMPDIR using xrdcp
# keep cached files across runs (it's then up to you to clean up the temp)
self.longTermCache = longTermCache
def prefetchFile(self, fname, verbose=True):
tmpdir = os.environ['TMPDIR'] if 'TMPDIR' in os.environ else "/tmp"
if not fname.startswith("root://"):
return fname, False
rndchars = "".join([hex(ord(i))[2:] for i in os.urandom(
8)]) if not self.longTermCache else "long_cache-id%d-%s" \
% (os.getuid(), hashlib.sha1(fname).hexdigest())
localfile = "%s/%s-%s.root" \
% (tmpdir, os.path.basename(fname).replace(".root", ""), rndchars)
if self.longTermCache and os.path.exists(localfile):
if verbose:
print("Filename %s is already available in local path %s " \
% (fname, localfile))
return localfile, False
try:
if verbose:
print("Filename %s is remote, will do a copy to local path %s"\
% (fname, localfile))
start = time.time()
subprocess.check_output(["xrdcp", "-f", "-N", fname, localfile])
if verbose:
print("Time used for transferring the file locally: %.2f s"\
% (time.time() - start))
return localfile, (not self.longTermCache)
except:
if verbose:
print(
"Error: could not save file locally, will run from remote")
if os.path.exists(localfile):
if verbose:
print("Deleting partially transferred file %s" % localfile)
try:
os.unlink(localfile)
except:
pass
return fname, False
def run(self):
outpostfix = self.postfix if self.postfix is not None else (
"_Friend" if self.friend else "_Skim")
if self.allowNoPostfix and self.postfix is None:
outpostfix = ""
if not self.noOut:
if self.compression != "none":
ROOT.gInterpreter.ProcessLine("#include <Compression.h>")
(algo, level) = self.compression.split(":")
compressionLevel = int(level)
if algo == "LZMA":
compressionAlgo = ROOT.ROOT.kLZMA
elif algo == "ZLIB":
compressionAlgo = ROOT.ROOT.kZLIB
elif algo == "LZ4":
compressionAlgo = ROOT.ROOT.kLZ4
else:
raise RuntimeError("Unsupported compression %s" % algo)
else:
compressionLevel = 0
print("Will write selected trees to " + self.outputDir)
if not self.justcount:
if not os.path.exists(self.outputDir):
os.system("mkdir -p " + self.outputDir)
else:
compressionLevel = 0
if self.noOut:
if len(self.modules) == 0:
raise RuntimeError(
"Running with --noout and no modules does nothing!")
# Open histogram file, if desired
if (self.histFileName is not None and self.histDirName is None) or (
self.histFileName is None and self.histDirName is not None):
raise RuntimeError(
"Must specify both histogram file and histogram directory!")
elif self.histFileName is not None and self.histDirName is None:
self.histFile = ROOT.TFile.Open(self.histFileName, "RECREATE")
else:
self.histFile = None
for m in self.modules:
if hasattr(m, 'writeHistFile') and m.writeHistFile:
m.beginJob(histFile=self.histFile,
histDirName=self.histDirName)
else:
m.beginJob()
fullClone = (len(self.modules) == 0)
outFileNames = []
t0 = time.time()
totEntriesRead = 0
for fname in self.inputFiles:
ffnames = []
if "," in fname:
fnames = fname.split(',')
fname, ffnames = fnames[0], fnames[1:]
# open input file
if self.prefetch:
ftoread, toBeDeleted = self.prefetchFile(fname)
inFile = ROOT.TFile.Open(ftoread)
else:
inFile = ROOT.TFile.Open(fname)
if not inFile:
print 'ERROR: file does not exist, check!'
print ' filename:', fname
exit(0)
# get input tree
inTree = inFile.Get("Events")
if inTree is None:
inTree = inFile.Get("Friends")
nEntries = min(inTree.GetEntries() - self.firstEntry,
self.maxEntries)
# first check that the histogram with weights is not already in the file
hasWeightHistograms = False
if inFile.GetListOfKeys().Contains(
"hGenWeights") and inFile.GetListOfKeys().Contains(
"hNumWeights"):
hasWeightHistograms = True
print "Histogram hGenWeights already exists, I will just copy it without recreating it"
if self.saveHistoGenWeights and inTree.GetName(
) == "Events" and not hasWeightHistograms:
print "Histogram hGenWeights does not exist yet, I will create it"
# check that the tree contains all the original events, otherwise the sum of gen weights will miss some
tmpTreeRuns = inFile.Get("Runs")
for ievt, event in enumerate(tmpTreeRuns):
if ievt:
break # only need first event (but there should be only 1 here)
nGenEvents = event.genEventCount
if nGenEvents != inTree.GetEntries():
raise RuntimeError(
"I am creating the histogram with genWeight, but tree Events has less entries than genEventCount in tree Runs (%s instead of %s). The sum of weights will thus be wrong, please check"
% (str(inTree.GetEntries()), str(nGenEvents)))
# saving distribution of genWeight for offline usage
# idea is to fill the distribution of Log10(genWeight) with the sign, so to have a histogram from about -10 to 10
# with about 10k bins (genWeights can take valus spanning several orders of magnitude, especially for fancy weights)
# then one can compute the sum of genWeight in a given range using its integral (using Log10(threshold) ).
# This somehow relies on having always |genWeight|>1, should it be < 1 the Log would change the sign.
# So for the purpose of choosing the bin to be filled, we use |value| or 1.001, whatever is larger (this will not affect the integral)
# then, need a second histogram to keep the integer number of events in each bin, so to allow for clipping of large weights
hGenWeights = ROOT.TH1D("hGenWeights",
"distribution of Log10(genWeight)",
4800, -12.0, 12.0)
hNumWeights = ROOT.TH1D(
"hNumWeights",
"distribution of Log10(genWeight) (unweighted)", 4800,
-12.0, 12.0)
drawResult = inTree.Draw(
"TMath::Sign(1.0,genWeight)*TMath::Log10(max(1.001,abs(genWeight)))>>hGenWeights",
"genWeight", "goff", nEntries, self.firstEntry)
drawResult = inTree.Draw(
"TMath::Sign(1.0,genWeight)*TMath::Log10(max(1.001,abs(genWeight)))>>hNumWeights",
"1", "goff", nEntries, self.firstEntry)
totEntriesRead += nEntries
# pre-skimming
elist, jsonFilter = preSkim(inTree,
self.json,
self.cut,
maxEntries=self.maxEntries,
firstEntry=self.firstEntry)
if self.justcount:
print('Would select %d / %d entries from %s (%.2f%%)' %
(elist.GetN() if elist else nEntries, nEntries, fname,
(elist.GetN() if elist else nEntries) /
(0.01 * nEntries) if nEntries else 0))
if self.prefetch:
if toBeDeleted:
os.unlink(ftoread)
continue
else:
print('Pre-select %d entries out of %s (%.2f%%)' %
(elist.GetN() if elist else nEntries, nEntries,
(elist.GetN() if elist else nEntries) /
(0.01 * nEntries) if nEntries else 0))
inAddFiles = []
inAddTrees = []
for ffname in ffnames:
inAddFiles.append(ROOT.TFile.Open(ffname))
inAddTree = inAddFiles[-1].Get("Events")
if inAddTree is None:
inAddTree = inAddFiles[-1].Get("Friends")
inAddTrees.append(inAddTree)
inTree.AddFriend(inAddTree)
if fullClone:
# no need of a reader (no event loop), but set up the elist if available
if elist:
inTree.SetEntryList(elist)
else:
# initialize reader
inTree = InputTree(inTree, elist)
# prepare output file
if not self.noOut:
outFileName = os.path.join(
self.outputDir,
os.path.basename(fname).replace(".root",
outpostfix + ".root"))
outFile = ROOT.TFile.Open(outFileName, "RECREATE", "",
compressionLevel)
outFileNames.append(outFileName)
if compressionLevel:
outFile.SetCompressionAlgorithm(compressionAlgo)
# prepare output tree
if self.friend:
outTree = FriendOutput(inFile, inTree, outFile)
else:
outTree = FullOutput(
inFile,
inTree,
outFile,
branchSelection=self.branchsel,
outputbranchSelection=self.outputbranchsel,
fullClone=fullClone,
maxEntries=self.maxEntries,
firstEntry=self.firstEntry,
jsonFilter=jsonFilter,
provenance=self.provenance)
else:
outFile = None
outTree = None
if self.branchsel:
self.branchsel.selectBranches(inTree)
# process events, if needed
if not fullClone:
eventRange = range(
self.firstEntry, self.firstEntry +
nEntries) if nEntries > 0 and not elist else None
(nall, npass, timeLoop) = eventLoop(self.modules,
inFile,
outFile,
inTree,
outTree,
eventRange=eventRange,
maxEvents=self.maxEntries)
print(
'Processed %d preselected entries from %s (%s entries). Finally selected %d entries'
% (nall, fname, nEntries, npass))
else:
nall = nEntries
print('Selected %d / %d entries from %s (%.2f%%)' %
(outTree.tree().GetEntries(), nall, fname,
outTree.tree().GetEntries() /
(0.01 * nall) if nall else 0))
# now write the output
if not self.noOut:
outTree.write()
if not hasWeightHistograms:
if self.saveHistoGenWeights:
hGenWeights.Write(hGenWeights.GetName())
hNumWeights.Write(hNumWeights.GetName())
outFile.Close()
print("Done %s" % outFileName)
if self.jobReport:
self.jobReport.addInputFile(fname, nall)
if self.prefetch:
if toBeDeleted:
os.unlink(ftoread)
for m in self.modules:
m.endJob()
print("Total time %.1f sec. to process %i events. Rate = %.1f Hz." %
((time.time() - t0), totEntriesRead, totEntriesRead /
(time.time() - t0)))
if self.haddFileName:
haddnano = "./haddnano.py" if os.path.isfile(
"./haddnano.py") else "haddnano.py"
os.system("%s %s %s" %
(haddnano, self.haddFileName, " ".join(outFileNames)))
if self.jobReport:
self.jobReport.addOutputFile(self.haddFileName)
self.jobReport.save()
class PostProcessor :
def __init__(self,outputDir,inputFiles,cut=None,branchsel=None,modules=[],compression="LZMA:9",friend=False,postfix=None,
jsonInput=None,noOut=False,justcount=False,provenance=False,haddFileName=None,fwkJobReport=False,histFileName=None,histDirName=None, outputbranchsel=None):
self.outputDir=outputDir
self.inputFiles=inputFiles
self.cut=cut
self.modules=modules
self.compression=compression
self.postfix=postfix
self.json=jsonInput
self.noOut=noOut
self.friend=friend
self.justcount=justcount
self.provenance=provenance
self.jobReport = JobReport() if fwkJobReport else None
self.haddFileName=haddFileName
self.histFile = None
self.histDirName = None
if self.jobReport and not self.haddFileName :
print "Because you requested a FJR we assume you want the final hadd. No name specified for the output file, will use tree.root"
self.haddFileName="tree.root"
self.branchsel = BranchSelection(branchsel) if branchsel else None
self.outputbranchsel = BranchSelection(outputbranchsel) if outputbranchsel else None
self.histFileName=histFileName
self.histDirName=histDirName
def run(self) :
outpostfix = self.postfix if self.postfix != None else ("_Friend" if self.friend else "_Skim")
if not self.noOut:
if self.compression != "none":
ROOT.gInterpreter.ProcessLine("#include <Compression.h>")
(algo, level) = self.compression.split(":")
compressionLevel = int(level)
if algo == "LZMA": compressionAlgo = ROOT.ROOT.kLZMA
elif algo == "ZLIB": compressionAlgo = ROOT.ROOT.kZLIB
else: raise RuntimeError("Unsupported compression %s" % algo)
else:
compressionLevel = 0
print "Will write selected trees to "+self.outputDir
if not self.justcount:
if not os.path.exists(self.outputDir):
os.system("mkdir -p "+self.outputDir)
else:
compressionLevel = 0
if self.noOut:
if len(self.modules) == 0:
raise RuntimeError("Running with --noout and no modules does nothing!")
# Open histogram file, if desired
if (self.histFileName != None and self.histDirName == None) or (self.histFileName == None and self.histDirName != None) :
raise RuntimeError("Must specify both histogram file and histogram directory!")
elif self.histFileName != None and self.histDirName != None:
self.histFile = ROOT.TFile.Open( self.histFileName, "RECREATE" )
else :
self.histFile = None
for m in self.modules:
if hasattr( m, 'writeHistFile') and m.writeHistFile :
m.beginJob(histFile=self.histFile,histDirName=self.histDirName)
else :
m.beginJob()
fullClone = (len(self.modules) == 0)
outFileNames=[]
t0 = time.clock()
totEntriesRead=0
for fname in self.inputFiles:
# open input file
inFile = ROOT.TFile.Open(fname)
#get input tree
inTree = inFile.Get("Events")
totEntriesRead+=inTree.GetEntries()
# pre-skimming
elist,jsonFilter = preSkim(inTree, self.json, self.cut)
if self.justcount:
print 'Would select %d entries from %s'%(elist.GetN() if elist else inTree.GetEntries(), fname)
continue
else:
print 'Pre-select %d entries out of %s '%(elist.GetN() if elist else inTree.GetEntries(),inTree.GetEntries())
if fullClone:
# no need of a reader (no event loop), but set up the elist if available
if elist: inTree.SetEntryList(elist)
else:
# initialize reader
inTree = InputTree(inTree, elist)
# prepare output file
if not self.noOut:
outFileName = os.path.join(self.outputDir, os.path.basename(fname).replace(".root",outpostfix+".root"))
outFile = ROOT.TFile.Open(outFileName, "RECREATE", "", compressionLevel)
outFileNames.append(outFileName)
if compressionLevel:
outFile.SetCompressionAlgorithm(compressionAlgo)
# prepare output tree
if self.friend:
outTree = FriendOutput(inFile, inTree, outFile)
else:
outTree = FullOutput(inFile, inTree, outFile, branchSelection = self.branchsel, fullClone = fullClone, jsonFilter = jsonFilter,provenance=self.provenance)
else :
outFile = None
outTree = None
# process events, if needed
if not fullClone:
(nall, npass, timeLoop) = eventLoop(self.modules, inFile, outFile, inTree, outTree)
print 'Processed %d preselected entries from %s (%s entries). Finally selected %d entries' % (nall, fname, inTree.GetEntries(), npass)
else:
print 'Selected %d entries from %s' % (outTree.tree().GetEntries(), fname)
# now write the output
if self.outputbranchsel:
self.outputbranchsel.selectBranches(outTree._tree)
if not self.noOut:
outTree.write()
outFile.Close()
print "Done %s" % outFileName
if self.jobReport:
self.jobReport.addInputFile(fname,nall)
for m in self.modules: m.endJob()
print totEntriesRead/(time.clock()-t0), "Hz"
if self.haddFileName :
os.system("./haddnano.py %s %s" %(self.haddFileName," ".join(outFileNames))) #FIXME: remove "./" once haddnano.py is distributed with cms releases
if self.jobReport :
self.jobReport.addOutputFile(self.haddFileName)
self.jobReport.save()
