def hltpathsForRange(schema, runlist, hltpathname=None, hltpathpattern=None):
'''
input: runlist [run], (required)
datatag: data version (optional)
output : {runnumber,[(hltpath,l1seedexpr,l1bitname)...]}
'''
result = {}
for run in runlist:
hlttrgmap = dataDML.hlttrgMappingByrun(schema,
run,
hltpathname=hltpathname,
hltpathpattern=hltpathpattern)
result[run] = []
for hltpath in sorted(hlttrgmap):
l1seedexpr = hlttrgmap[hltpath]
(exptype,
l1bits) = hltTrgSeedMapper.findUniqueSeed(hltpath, l1seedexpr)
l1bitname = 'n/a'
if l1bits:
if exptype:
l1bitname = l1seedexpr
else:
l1bitname = l1bits[0]
result[run].append((hltpath, l1seedexpr, l1bitname))
return result
def hltpathsForRange(schema,runlist,hltpathname=None,hltpathpattern=None):
'''
input: runlist [run], (required)
datatag: data version (optional)
output : {runnumber,[(hltpath,l1seedexpr,l1bitname)...]}
'''
result={}
for run in runlist:
hlttrgmap=dataDML.hlttrgMappingByrun(schema,run,hltpathname=hltpathname,hltpathpattern=hltpathpattern)
result[run]=[]
for hltpath in sorted(hlttrgmap):
l1seedexpr=hlttrgmap[hltpath]
l1bitname=hltTrgSeedMapper.findUniqueSeed(hltpath,l1seedexpr)
result[run].append((hltpath,l1seedexpr,l1bitname))
return result
def effectiveLumiForIds(schema,irunlsdict,dataidmap,runsummaryMap=None,beamstatusfilter=None,timeFilter=None,normmap=None,hltpathname=None,hltpathpattern=None,withBXInfo=False,bxAlgo=None,xingMinLum=None,withBeamIntensity=False,lumitype='HF',minbiasXsec=None):
'''
delivered/recorded/eff lumi in selected hlt path (including calibration,time integral)
input:
irunlsdict: {run:[lsnum]}, where [lsnum]==None means all ; [lsnum]==[] means selected ls
dataidmap : {run:(lumiid,trgid,hltid)}
runsummaryMap: {run:[l1key(0),amodetag(1),egev(2),hltkey(3),fillnum(4),fillscheme(5),starttime(6),stoptime(7)]}
beamstatusfilter: LS filter on beamstatus
normmap: {since:[corrector(0),{paramname:paramvalue}(1),amodetag(2),egev(3),comment(4)]} if normmap empty, means without-correction , if notnormmap means without-correction
hltpathname: selected hltpathname
hltpathpattern: regex select hltpaths
withBXInfo: get per bunch info (optional)
bxAlgo: algoname for bx values (optional) ['OCC1','OCC2','ET']
xingMinLum: cut on bx lumi value (optional)
withBeamIntensity: get beam intensity info (optional)
lumitype: luminosity source
output:
result {run:[lumilsnum(0),cmslsnum(1),timestamp(2),beamstatus(3),beamenergy(4),deliveredlumi(5),recordedlumi(6),calibratedlumierror(7),{hltpath:[l1name,l1prescale,hltprescale,efflumi]}(8),bxdata(9),beamdata(10),fillnum(11),ncollidingbunches(12)]}
{run:None} None means no run in lumiDB,
{run:[]} [] means no lumi for this run in lumiDB
{run:[....deliveredlumi(5),recorded(6)==None,]} means no trigger in lumiDB
{run:[....deliveredlumi(5),recorded(6),calibratedlumierror(7)==None]} means no hlt in lumiDB
lumi unit: 1/ub
'''
deliveredresult=deliveredLumiForIds(schema,irunlsdict,dataidmap,runsummaryMap,beamstatusfilter=beamstatusfilter,timeFilter=timeFilter,normmap=normmap,withBXInfo=withBXInfo,bxAlgo=bxAlgo,xingMinLum=xingMinLum,withBeamIntensity=withBeamIntensity,lumitype=lumitype,minbiasXsec=minbiasXsec)
trgresult=trgForIds(schema,irunlsdict,dataidmap,withPrescale=True) #{run:[cmslsnum,deadfrac,deadtimecount,bitzero_count,bitzero_prescale,[(bitname,prescale,counts,mask)]]}
hltresult=hltForIds(schema,irunlsdict,dataidmap,hltpathname=hltpathname,hltpathpattern=hltpathpattern,withL1Pass=False,withHLTAccept=False) #{runnumber:[(cmslsnum,[(hltpath,hltprescale,l1pass,hltaccept),...]),(cmslsnum,[])})}
for run in deliveredresult.keys(): #loop over delivered
perrundata=deliveredresult[run]
if perrundata is None or len(perrundata)==0:#pass through
continue
alltrgls=[]
if run in trgresult and trgresult[run]:
alltrgls=[x[0] for x in trgresult[run]]
allhltls=[]
if run in hltresult and hltresult[run]:
allhltls=[x[0] for x in hltresult[run]]
l1bitinfo=[]
hltpathinfo=[]
hlttrgmap=dataDML.hlttrgMappingByrun(schema,run,hltpathname=hltpathname,hltpathpattern=hltpathpattern)
for perlsdata in perrundata: #loop over ls
if not perlsdata: continue #no lumi for this ls
perlsdata.insert(6,None)
perlsdata.insert(8,None)
if not alltrgls: continue #no trg for this run
cmslsnum=perlsdata[1]
recordedlumi=0.0
if cmslsnum==0:#if not a cmsls or not selected by cms list, set recordedlumi,efflumi to 0
continue
else:
try:
trglsidx=alltrgls.index(cmslsnum)
deadfrac=trgresult[run][trglsidx][1]
l1bitinfo=trgresult[run][trglsidx][5]
if deadfrac<0 or deadfrac>1.0:deadfrac=1.0
deliveredlumi=perlsdata[5]
recordedlumi=(1.0-deadfrac)*deliveredlumi
except ValueError:
#print '[WARNING] no trigger for LS=',cmslsnum
continue #do not go further
perlsdata[6]=recordedlumi
if not allhltls: continue #no hlt for this run
try:
hltlsidx=allhltls.index(cmslsnum)
except ValueError:
#print '[WARNING] no hlt for LS=',cmslsnum
continue #do not go further
trgprescalemap={} #{bitname:l1prescale} for this lumi section
if l1bitinfo:
for thisbitinfo in l1bitinfo:
thisbitname=thisbitinfo[0]
thisbitprescale=thisbitinfo[2]
trgprescalemap['"'+thisbitname+'"']=thisbitprescale
else:
continue
hltpathdata=hltresult[run][hltlsidx][1]
efflumidict={}#{pathname:[[l1bitname,l1prescale,hltprescale,efflumi]]}
for pathidx,thispathinfo in enumerate(hltpathdata):
thispathname=thispathinfo[0]
thisprescale=thispathinfo[1]
thisl1seed=None
l1bitname=None
l1prescale=None
try:
thisl1seed=hlttrgmap[thispathname]
except KeyError:
thisl1seed=None
if thisl1seed:
try:
(exptype,l1bits)=hltTrgSeedMapper.findUniqueSeed(thispathname,thisl1seed)
if l1bits:
if not exptype:
l1bitname=l1bits[0]
l1prescale=trgprescalemap[l1bits[0]]#need to match double quoted string!
else:
pmin=99999999
pmax=0
for bit in l1bits:
l1p=trgprescalemap[bit]
if exptype=='OR':
if l1p!=0 and l1p<pmin:
pmin=l1p
l1prescale=l1p
l1bitname=bit
if exptype=='AND':
if l1p!=0 and l1p>pmax:
pmax=l1p
l1prescale=l1p
l1bitname=bit
else:
l1prescale=None
except KeyError:
l1prescale=None
efflumi=0.0
if l1prescale and thisprescale:#normal both prescaled
efflumi=recordedlumi/(float(l1prescale)*float(thisprescale))
efflumidict[thispathname]=[l1bitname,l1prescale,thisprescale,efflumi]
elif l1prescale and thisprescale==0: #hltpath in menu but masked
efflumidict[thispathname]=[l1bitname,l1prescale,thisprescale,efflumi]
else:
efflumidict[thispathname]=[None,0,thisprescale,efflumi]
perlsdata[8]=efflumidict
return deliveredresult
def effectiveLumiForRange(schema,inputRange,hltpathname=None,hltpathpattern=None,amodetag=None,beamstatus=None,egev=None,withBXInfo=False,xingMinLum=0.0,bxAlgo=None,withBeamIntensity=False,norm=None,finecorrections=None,driftcorrections=None,usecorrectionv2=False,lumitype='HF',branchName=None):
'''
input:
inputRange {run:[cmsls]} (required)
hltpathname: selected hltpathname
hltpathpattern: regex select hltpaths
amodetag: amodetag for picking norm(optional)
egev: beamenergy for picking norm(optional)
withBXInfo: get per bunch info (optional)
bxAlgo: algoname for bx values (optional) ['OCC1','OCC2','ET']
xingMinLum: cut on bx lumi value (optional)
withBeamIntensity: get beam intensity info (optional)
normname: norm factor name to use (optional)
branchName: data version
output:
result {run:[lumilsnum(0),cmslsnum(1),timestamp(2),beamstatus(3),beamenergy(4),deliveredlumi(5),recordedlumi(6),calibratedlumierror(7),{hltpath:[l1name,l1prescale,hltprescale,efflumi]},bxdata,beamdata,fillnum]}
lumi unit: 1/ub
'''
if lumitype not in ['HF','PIXEL']:
raise ValueError('unknown lumitype '+lumitype)
if branchName is None:
branchName='DATA'
lumitableName=''
lumilstableName=''
if lumitype=='HF':
lumitableName=nameDealer.lumidataTableName()
lumilstableName=nameDealer.lumisummaryv2TableName()
else:
lumitableName=nameDealer.pixellumidataTableName()
lumilstableName=nameDealer.pixellumisummaryv2TableName()
numbx=3564
result = {}
normval=None
perbunchnormval=None
if norm:
normval=_getnorm(schema,norm)
perbunchnormval=float(normval)/float(1000)
elif amodetag and egev:
normval=_decidenormFromContext(schema,amodetag,egev)
perbunchnormval=float(normval)/float(1000)
c=lumiTime.lumiTime()
lumip=lumiParameters.ParametersObject()
for run in inputRange.keys():
lslist=inputRange[run]
if lslist is not None and len(lslist)==0:#no selected ls, do nothing for this run
result[run]=[]
continue
cmsrunsummary=dataDML.runsummary(schema,run)
if len(cmsrunsummary)==0:#non existing run
result[run]=None
continue
startTimeStr=cmsrunsummary[6]
fillnum=cmsrunsummary[4]
lumidataid=None
trgdataid=None
hltdataid=None
lumidataid=dataDML.guessLumiDataIdByRun(schema,run,lumitableName)
trgdataid=dataDML.guessTrgDataIdByRun(schema,run)
hltdataid=dataDML.guessHltDataIdByRun(schema,run)
if lumidataid is None or trgdataid is None or hltdataid is None:
result[run]=None
continue
(lumirunnum,lumidata)=dataDML.lumiLSById(schema,lumidataid,beamstatus,tableName=lumilstableName)
(trgrunnum,trgdata)=dataDML.trgLSById(schema,trgdataid,withPrescale=True)
(hltrunnum,hltdata)=dataDML.hltLSById(schema,hltdataid,hltpathname=hltpathname,hltpathpattern=hltpathpattern)
hlttrgmap=dataDML.hlttrgMappingByrun(schema,run)
if not normval:#if norm cannot be decided , look for it according to context per run
normval=_decidenormForRun(schema,run)
perbunchnormval=float(normval)/float(1000)
if not normval:#still not found? resort to global default (should never come here)
normval=6370
perbunchnormval=6.37
print '[Warning] using default normalization '+str(normval)
perrunresult=[]
for lumilsnum,perlsdata in lumidata.items():
cmslsnum=perlsdata[0]
triggeredls=perlsdata[0]
if lslist is not None and cmslsnum not in lslist:
#cmslsnum=0
triggeredls=0
recordedlumi=0.0
instlumi=perlsdata[1]
instlumierror=perlsdata[2]
avglumi=instlumi*normval
calibratedlumi=avglumi
if lumitype=='HF' and finecorrections and finecorrections[run]:
if usecorrectionv2:
if driftcorrections and driftcorrections[run]:
calibratedlumi=lumiCorrections.applyfinecorrectionV2(avglumi,finecorrections[run][0],finecorrections[run][1],finecorrections[run][2],finecorrections[run][3],finecorrections[run][4],driftcorrections[run])
else:
calibratedlumi=lumiCorrections.applyfinecorrectionV2(avglumi,finecorrections[run][0],finecorrections[run][1],finecorrections[run][2],finecorrections[run][3],finecorrections[run][4],1.0)
else:
calibratedlumi=lumiCorrections.applyfinecorrection(avglumi,finecorrections[run][0],finecorrections[run][1],finecorrections[run][2])
if lumitype=='PIXEL' and finecorrections is not None:
calibratedlumi=finecorrections[run]*avglumi
calibratedlumierror=instlumierror*normval
bstatus=perlsdata[4]
begev=perlsdata[5]
numorbit=perlsdata[6]
startorbit=perlsdata[7]
timestamp=c.OrbitToTime(startTimeStr,startorbit,0)
lslen=lumip.lslengthsec()
deliveredlumi=calibratedlumi*lslen
recordedlumi=0.0
trgprescalemap={}#trgprescalemap for this ls
efflumidict={}
if triggeredls!=0:
if not trgdata.has_key(cmslsnum):
#triggeredls=0 #if no trigger, set back to non-cms-active ls
recordedlumi=0.0 # no trigger->nobeam recordedlumi=None
else:
deadcount=trgdata[cmslsnum][0] ##subject to change !!
bitzerocount=trgdata[cmslsnum][1]
bitzeroprescale=trgdata[cmslsnum][2]
deadfrac=trgdata[cmslsnum][3]
if deadfrac<0 or deadfrac>1.0:
deadfrac=1.0
#if float(bitzerocount)*float(bitzeroprescale)==0.0:
# deadfrac=1.0
#else:
# deadfrac=float(deadcount)/(float(bitzerocount)*float(bitzeroprescale))
#if deadfrac>1.0:
# deadfrac=1.0 #artificial correction in case of deadfrac>1
recordedlumi=deliveredlumi*(1.0-deadfrac)
l1bitinfo=trgdata[cmslsnum][4]
if l1bitinfo:
for thisbitinfo in l1bitinfo:
thisbitname=thisbitinfo[0]
thisbitprescale=thisbitinfo[2]
#trgprescalemap['"'+thisbitname+'"']=thisbitprescale#note:need to double quote bit name!
trgprescalemap['"'+thisbitname+'"']=thisbitprescale
del trgdata[cmslsnum][:]
if hltdata.has_key(cmslsnum):
hltpathdata=hltdata[cmslsnum]
#print 'hltpathdata ',hltpathdata
for pathidx,thispathinfo in enumerate(hltpathdata):
efflumi=0.0
thispathname=thispathinfo[0]
thisprescale=thispathinfo[1]
thisl1seed=None
l1bitname=None
l1prescale=None
try:
thisl1seed=hlttrgmap[thispathname]
except KeyError:
thisl1seed=None
# print 'hltpath, l1seed, hltprescale ',thispathname,thisl1seed,thisprescale
if thisl1seed:
try:
l1bitname=hltTrgSeedMapper.findUniqueSeed(thispathname,thisl1seed)
if l1bitname :
l1prescale=trgprescalemap[l1bitname]#need to match double quoted string!
else:
l1prescale=None
except KeyError:
l1prescale=None
if l1prescale and thisprescale :#normal both prescaled
efflumi=recordedlumi/(float(l1prescale)*float(thisprescale))
efflumidict[thispathname]=[l1bitname,l1prescale,thisprescale,efflumi]
elif l1prescale and thisprescale==0: #hltpath in menu but masked
efflumi=0.0
efflumidict[thispathname]=[l1bitname,l1prescale,thisprescale,efflumi]
else:
efflumi=0.0
efflumidict[thispathname]=[None,0,thisprescale,efflumi]
bxvaluelist=[]
bxerrorlist=[]
bxdata=None
beamdata=None
if withBXInfo:
bxinfo=lumidata[8]
bxvalueArray=None
bxerrArray=None
if bxinfo:
bxvalueArray=bxinfo[0]
bxerrArray=bxinfo[1]
for idx,bxval in enumerate(bxvalueArray):
if finecorrections and finecorrections[run]:
if usecorrectionv2:
if driftcorrections and driftcorrections[run]:
mybxval=lumiCorrections.applyfinecorrectionBXV2(bxval,avglumi,perbunchnormval,finecorrections[run][0],finecorrections[run][1],finecorrections[run][2],finecorrections[run][3],finecorrections[run][4],driftcorrections[run])
else:
mybxval=lumiCorrections.applyfinecorrectionBXV2(bxval,avglumi,perbunchnormval,finecorrections[run][0],finecorrections[run][1],finecorrections[run][2],finecorrections[run][3],finecorrections[run][4],1.0)
else:
mybxval=lumiCorrections.applyfinecorrectionBX(bxval,avglumi,perbunchnormval,finecorrections[run][0],finecorrections[run][1],finecorrections[run][2])
else:
mybxval=bxval*perbunchnormval
if mybxval>xingMinLum:
bxidxlist.append(idx)
bxvaluelist.append(bxval)
bxerrorlist.append(bxerrArray[idx])
del bxvalueArray[:]
del bxerrArray[:]
bxdata=(bxidxlist,bxvaluelist,bxerrorlist)
if withBeamIntensity:
beaminfo=perlsdata[9]
bxindexlist=[]
b1intensitylist=[]
b2intensitylist=[]
if beaminfo:
bxindexarray=beaminfo[0]
beam1intensityarray=beaminfo[1]
beam2intensityarray=beaminfo[2]
bxindexlist=bxindexarray.tolist()
b1intensitylist=beam1intensityarray.tolist()
b2intensitylist=beam2intensityarray.tolist()
del bxindexarray[:]
del beam1intensityarray[:]
del beam2intensityarray[:]
beamdata=(bxindexlist,b1intensitylist,b2intensitylist)
# print cmslsnum,deliveredlumi,recordedlumi,efflumidict
perrunresult.append([lumilsnum,triggeredls,timestamp,bstatus,begev,deliveredlumi,recordedlumi,calibratedlumierror,efflumidict,bxdata,beamdata,fillnum])
del perlsdata[:]
result[run]=perrunresult
#print result
return result
