if options.action == 'trgbyls':
session.transaction().start(True)
result=lumiCalcAPI.trgForRange(session.nominalSchema(),irunlsdict,trgbitname=sname,trgbitnamepattern=spattern,withL1Count=True,withPrescale=True)
session.transaction().commit()
if not options.outputfile:
lumiReport.toScreenLSTrg(result,iresults=iresults,isverbose=isdetail)
else:
lumiReport.toCSVLSTrg(result,options.outputfile,iresults=iresults,isverbose=isdetail)
if options.action == 'hltbyls':
withL1Pass=False
withHLTAccept=False
if options.verbose:
withL1Pass=True
withHLTAccept=True
session.transaction().start(True)
result=lumiCalcAPI.hltForRange(session.nominalSchema(),irunlsdict,hltpathname=sname,hltpathpattern=spattern,withL1Pass=withL1Pass,withHLTAccept=withHLTAccept)
session.transaction().commit()
if not options.outputfile:
lumiReport.toScreenLSHlt(result,iresults=iresults,isverbose=options.verbose)
else:
lumiReport.toCSVLSHlt(result,options.outputfile,iresults,options.verbose)
if options.action == 'trgconf':
session.transaction().start(True)
result=lumiCalcAPI.trgbitsForRange(session.nominalSchema(),irunlsdict,datatag=None)
session.transaction().commit()
if not options.outputfile:
lumiReport.toScreenConfTrg(result,iresults,options.verbose)
else:
lumiReport.toCSVConfTrg(result,options.outputfile,iresults,options.verbose)
if options.action == 'hltconf':
session.transaction().start(True)
withHLTAccept = False
pattern_results = {}
for pattern in options.pattern:
for run in sorted(run_ls.keys()):
small_run_ls = { run : run_ls[run] }
sys.stdout.write("Querying pattern: %s in run %i" % (pattern, run))
sys.stdout.write(" ")
sys.stdout.write('\r')
try:
session.transaction().start(True)
result = lumiCalcAPI.hltForRange(
session.nominalSchema(),
small_run_ls,
hltpathname=None,
hltpathpattern=pattern,
withL1Pass=withL1Pass,
withHLTAccept=withHLTAccept)
pattern_results.setdefault(pattern, {}).update(result)
except:
sys.stderr.write(
"\nException detected processing run %i, skipping\n" % run)
finally:
session.transaction().commit()
# Now we want tto find, for each run, all the unprescaled triggers.
# Just go through each run, and check what the lowest prescale is for each
# pattern.
run_info = {}
for pattern, run_ls in pattern_results.iteritems():