def configureSequence(args):
# analysis and mithep defined in config
if args.flatConfig:
# copy the config to a temporary python directory to allow import
bambutmp = os.environ['CMSSW_BASE'] + '/python/bambutmp'
try:
os.mkdir(bambutmp)
open(bambutmp + '/__init__.py', 'w').close()
except:
pass
shutil.copy(args.config, bambutmp)
cfg = importlib.import_module('bambutmp.' + os.path.basename(args.config).replace('.py', ''))
shutil.rmtree(bambutmp)
try:
analysis = cfg.analysis
except AttributeError:
print 'Analysis object not defined in ' + args.config
sys.exit(1)
try:
mithep = cfg.mithep
except AttributeError:
import ROOT
ROOT.gSystem.Load('libMitAnaTreeMod.so')
mithep = ROOT.mithep
if args.goodlumiFile is not None:
# RunLumiSelectionMod assumed to be the first module
try:
jsonDir = os.environ['MIT_JSON_DIR']
for sm in analysis.GetSuperMods():
if sm.Class() != mithep.RunLumiSelectionMod.Class():
continue
sm.AddJSONFile(jsonDir + '/' + goodlumiFile)
except:
print 'Lumi list configuration failed.'
sys.exit(1)
else:
from MitAna.TreeMod.bambu import analysis, mithep
if args.realData or args.goodlumiFile is not None:
analysis.isRealData = True
execfile(args.config)
# if good run / lumi list is given, prepend the filter module
if args.goodlumiFile is not None:
from MitAna.PhysicsMod.runlumisel import goodLumiFilter
filterMod = goodLumiFilter(args.goodlumiFile)
analysis._sequence = filterMod * analysis._sequence
analysis.buildSequence()
return mithep, analysis
catalog = mithep.Catalog(os.environ['MIT_CATALOG'])
except KeyError:
print 'Dataset catalog requires environment MIT_CATALOG to be set.'
sys.exit(1)
dataset = catalog.FindDataset(args.book, args.dataset, args.fileset, 1)
analysis.AddDataset(dataset)
analysis.SetUseCacher(1)
elif args.inputFile:
analysis.AddFile(args.inputFile)
# if good run / lumi list is given, prepend the filter module
if args.goodlumiFiles:
from MitAna.PhysicsMod.runlumisel import goodLumiFilter
filterMod = goodLumiFilter(args.goodlumiFiles)
analysis._sequence = filterMod * analysis._sequence
if args.outputFile:
analysis.SetOutputName(args.outputFile)
if args.nentries >= 0:
analysis.SetProcessNEvents(args.nentries)
if args.useCacher:
analysis.SetUseCacher(1)
if args.hierarchy:
analysis.SetKeepHierarchy(True)
for mod in analysis._sequence.build()[0]:
for expr in args.custom:
key, eq, value = expr.partition('=')
if not value:
continue
try:
value = eval(value)
except:
pass
print 'Adding a custom variable', key, '=', ('"%s"' % value if type(value) is str else value)
analysis.custom[key] = value
# load macro
execfile(args.config)
# if good run / lumi list is given, prepend the filter module
if args.goodlumiFile:
from MitAna.PhysicsMod.runlumisel import goodLumiFilter
filterMod = goodLumiFilter(args.goodlumiFile)
analysis._sequence = filterMod * analysis._sequence
# build the module sequence
analysis.buildSequence()
print '\n+++++ ANALYSIS FLOW +++++\n'
analysis.PrintModuleTree()
print '\n+++++++++++++++++++++++++\n'
analysis.Run(False)
