| 10 |
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from optparse import OptionParser |
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from array import * |
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from decimal import * |
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+ |
import subprocess |
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| 15 |
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from OSUT3Analysis.Configuration.configurationOptions import * |
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from OSUT3Analysis.Configuration.processingUtilities import * |
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|
| 18 |
< |
from ROOT import TCut, TFile, TH1D, TTree, TStopwatch, TChain |
| 18 |
> |
from ROOT import TChain, TCut, TDirectory, TFile, TH1D, TH2D, TStopwatch, TTree, gROOT |
| 19 |
> |
|
| 20 |
> |
gROOT.SetBatch(True) # This is to prevent pop-up graphical windows |
| 21 |
> |
|
| 22 |
> |
|
| 23 |
> |
def MakeCondorSubmitFile(arguments, dataset): |
| 24 |
> |
p = subprocess.Popen(["which", "makeBNTreePlot.py"], stdout=subprocess.PIPE) |
| 25 |
> |
executable = p.communicate()[0] # read the stdout of the command |
| 26 |
> |
workdir = os.getcwd() + "/" |
| 27 |
> |
outdir = "condor/"+arguments.condorDir+"/"+dataset+"/" |
| 28 |
> |
out = open(outdir+"/condorBNTree.sub", "w") |
| 29 |
> |
out.write("Executable = " + executable + " \n") |
| 30 |
> |
out.write("Universe = vanilla \n") |
| 31 |
> |
out.write("Getenv = True \n") |
| 32 |
> |
out.write("Arguments = -D " + dataset + " -l " + arguments.localConfig + " -c " + arguments.condorDir + " \n") |
| 33 |
> |
out.write("Output = " + workdir + outdir + "condorBNTree_$(Process).out \n") |
| 34 |
> |
out.write("Error = " + workdir + outdir + "condorBNTree_$(Process).err \n") |
| 35 |
> |
out.write("Log = " + workdir + outdir + "condorBNTree_$(Process).log \n") |
| 36 |
> |
out.write("+IsLocalJob = true \n") |
| 37 |
> |
out.write("Rank = TARGET.IsLocalSlot \n") |
| 38 |
> |
out.write("Queue 1 \n") |
| 39 |
> |
out.close() |
| 40 |
> |
|
| 41 |
> |
|
| 42 |
> |
def RunOnCondor(arguments, split_datasets): |
| 43 |
> |
print "Running jobs on condor, instead of interactively." |
| 44 |
> |
## print "Found condorDir = %s" % (condorDir) |
| 45 |
> |
## print "Found split_datasets = " |
| 46 |
> |
## print split_datasets |
| 47 |
> |
|
| 48 |
> |
for dataset in split_datasets: |
| 49 |
> |
MakeCondorSubmitFile(arguments, dataset) |
| 50 |
> |
cmd = "condor_submit condor/"+arguments.condorDir+"/"+dataset+"/condorBNTree.sub" |
| 51 |
> |
os.system(cmd) |
| 52 |
> |
print "Submitting job: %s " % cmd |
| 53 |
> |
|
| 54 |
> |
print "Once condor jobs have finished, merge the composite datasets and then make plots with:" |
| 55 |
> |
print " makeBNTreePlot.py -q -l " + arguments.localConfig + " -c " + arguments.condorDir |
| 56 |
> |
print " makePlots.py -l " + arguments.localConfig + " -c " + arguments.condorDir |
| 57 |
> |
|
| 58 |
> |
return |
| 59 |
> |
|
| 60 |
> |
|
| 61 |
> |
watch = TStopwatch() |
| 62 |
> |
watch1 = TStopwatch() |
| 63 |
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|
| 19 |
– |
watch = TStopwatch() |
| 64 |
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| 65 |
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parser = OptionParser() |
| 66 |
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parser = set_commandline_arguments(parser) |
| 68 |
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|
| 69 |
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if not arguments.localConfig: |
| 70 |
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sys.exit(" You must specify a localOptions.py file with -l") |
| 71 |
< |
if arguments.localConfig: |
| 71 |
> |
if arguments.localConfig: |
| 72 |
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sys.path.append(os.getcwd()) |
| 73 |
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exec("from " + arguments.localConfig.rstrip('.py') + " import *") |
| 74 |
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if not arguments.condorDir: |
| 76 |
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if arguments.condorDir: |
| 77 |
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condor_dir = "condor/%s" % arguments.condorDir |
| 78 |
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|
| 79 |
+ |
if arguments.datasetName: # If datasetName is specified on command line, then override the value from localConfig |
| 80 |
+ |
datasets = [ |
| 81 |
+ |
arguments.datasetName, |
| 82 |
+ |
] |
| 83 |
+ |
|
| 84 |
|
#save a list of composite datasets |
| 85 |
|
composite_datasets = get_composite_datasets(datasets, composite_dataset_definitions) |
| 86 |
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#save a list of datasets with composite datasets split up |
| 87 |
|
split_datasets = split_composite_datasets(datasets, composite_dataset_definitions) |
| 88 |
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|
| 89 |
+ |
if arguments.quickMerge and arguments.runOnCondor: |
| 90 |
+ |
print "Cannot use -q (--quickMerge) and -C (--runOnCondor) options simultaneously. Please choose one or the other." |
| 91 |
+ |
exit() |
| 92 |
+ |
|
| 93 |
+ |
if arguments.runOnCondor: |
| 94 |
+ |
RunOnCondor(arguments, split_datasets) |
| 95 |
+ |
exit() |
| 96 |
+ |
|
| 97 |
|
#write new histogram to dataset |
| 98 |
< |
for dataset in split_datasets: |
| 99 |
< |
for hist in input_histograms: |
| 100 |
< |
#chain trees together |
| 101 |
< |
ch = TChain("OSUAnalysis/"+hist['channel']+"/BNTree_"+hist['channel']) |
| 102 |
< |
ch.Add(condor_dir + "/" + dataset + "/hist_*.root") |
| 103 |
< |
|
| 104 |
< |
inputFile = TFile(condor_dir + "/" + dataset + ".root", "UPDATE") |
| 105 |
< |
h = TH1D(hist['histName'], hist['histName'], hist['nbins'], hist['xMin'], hist['xMax']) |
| 106 |
< |
cut = TCut(hist['cutString']) |
| 107 |
< |
|
| 108 |
< |
ch.Draw(hist['varToPlot']+">>"+hist['histName'], cut) |
| 109 |
< |
|
| 110 |
< |
inputFile.cd("OSUAnalysis/"+hist['channel']) |
| 111 |
< |
h.Write() |
| 112 |
< |
inputFile.Close() |
| 113 |
< |
print "Histogram " + hist['histName'] + " has been added to " + condor_dir + "/"+ dataset + ".root" |
| 98 |
> |
if not arguments.quickMerge: |
| 99 |
> |
for dataset in split_datasets: |
| 100 |
> |
for hist in input_histograms: |
| 101 |
> |
#chain trees together |
| 102 |
> |
ch = TChain("OSUAnalysis/"+hist['channel']+"/BNTree_"+hist['channel']) |
| 103 |
> |
ch.Add(condor_dir + "/" + dataset + "/hist_*.root") |
| 104 |
> |
print ("Looping over chain with # entries = %f; split time = " % ch.GetEntries()), |
| 105 |
> |
watch1.Stop(); watch1.Print(); watch1.Start() |
| 106 |
> |
|
| 107 |
> |
outputFile = TFile(condor_dir + "/" + dataset + ".root", "UPDATE") |
| 108 |
> |
if not outputFile or outputFile.IsZombie(): print "Could not open file: %s/%s.root" % (condor_dir, dataset) |
| 109 |
> |
outputFile.cd("OSUAnalysis/"+hist['channel']) |
| 110 |
> |
|
| 111 |
> |
deleteString = hist['histName'] + ";*" # delete all existing instances of the object |
| 112 |
> |
currentDir = outputFile.GetDirectory("OSUAnalysis/"+hist['channel']); |
| 113 |
> |
if not currentDir: print "Could not find directory OSUAnalysis/%s in file %s" % (hist['channel'], outputFile.GetName()) |
| 114 |
> |
currentDir.Delete(deleteString); |
| 115 |
> |
if 'nbinsY' in hist: # only make a 2D histogram if the key "nbinsY" is defined |
| 116 |
> |
h = TH2D(hist['histName'], hist['histName'], |
| 117 |
> |
hist['nbins'], hist['xMin'], hist['xMax'], |
| 118 |
> |
hist['nbinsY'], hist['yMin'], hist['yMax']) |
| 119 |
> |
else: |
| 120 |
> |
h = TH1D(hist['histName'], hist['histName'], hist['nbins'], hist['xMin'], hist['xMax']) |
| 121 |
> |
h.Sumw2() # Needed to get weights correct. |
| 122 |
> |
cut = TCut(hist['cutString']) |
| 123 |
> |
ch.Draw(hist['varToPlot']+">>"+hist['histName'], cut) |
| 124 |
> |
h.Write() |
| 125 |
> |
outputFile.Close() |
| 126 |
> |
print "Histogram " + hist['histName'] + " has been added to " + condor_dir + "/"+ dataset + ".root" |
| 127 |
|
|
| 128 |
|
#merge output if composite dataset |
| 129 |
|
for composite_dataset in composite_datasets: |
| 139 |
|
print "Merging output for composite dataset: " + composite_dataset |
| 140 |
|
os.system(command) |
| 141 |
|
|
| 142 |
+ |
print ("Total time: "), |
| 143 |
|
watch.Stop() |
| 144 |
|
watch.Print() |
| 145 |
|
|
| 146 |
|
|
| 147 |
|
|
| 77 |
– |
|
