lumiReport Namespace Reference

Functions
def	dumptocsv (fieldnames, result, filename)
def	toCSVLumiByLSXing (lumidata, scalefactor, filename, irunlsdict=None, noWarning=True)
def	toScreenConfHlt (hltconfdata, iresults=[], toFile=None)
def	toScreenHeader (commandname, datatagname, normtag, worktag, updatetag, lumitype, toFile=None)
def	toScreenLSBeam (beamdata, iresults=[], dumpIntensity=False, toFile=None)
def	toScreenLSEffective (lumidata, resultlines, scalefactor, irunlsdict=None, noWarning=True, toFile=None)
def	toScreenLSHlt (hltdata, iresults=[], toFile=None)
def	toScreenLSTrg (trgdata, iresults=[], irunlsdict=None, noWarning=True, toFile=None, withoutmask=False)
def	toScreenLumiByLS (lumidata, resultlines, scalefactor, irunlsdict=None, noWarning=True, toFile=None)
def	toScreenNormDetail (normname, norminfo, normvalues)
def	toScreenNormSummary (allnorms)
def	toScreenOverview (lumidata, resultlines, scalefactor, irunlsdict=None, noWarning=True, toFile=None)
def	toScreenSingleTag (taginfo)
def	toScreenTags (tagdata)
def	toScreenTotDelivered (lumidata, resultlines, scalefactor, irunlsdict=None, noWarning=True, toFile=None)
def	toScreenTotEffective (lumidata, resultlines, scalefactor, irunlsdict=None, noWarning=True, toFile=None)

Function Documentation

def lumiReport.dumptocsv	(		fieldnames,
			result,
			filename
	)

utility method to dump result to csv file

Definition at line 11 of file lumiReport.py.

References join(), and harvestTrackValidationPlots.str.

Referenced by toScreenConfHlt(), toScreenLSBeam(), toScreenLSEffective(), toScreenLSHlt(), toScreenLSTrg(), toScreenLumiByLS(), toScreenOverview(), toScreenTotDelivered(), and toScreenTotEffective().

def dumptocsv(fieldnames,result,filename):
    '''
    utility method to dump result to csv file
    '''
    assert(filename)
    if filename.upper()=='STDOUT':
        r=sys.stdout
        r.write(','.join(fieldnames)+'\n')
        for l in result:
            r.write(str(l)+'\n')
    else:
        r=csvReporter.csvReporter(filename)
        r.writeRow(fieldnames)
        r.writeRows(result)
        r.close()
        

def lumiReport.toCSVLumiByLSXing	(		lumidata,
			scalefactor,
			filename,
			irunlsdict = None,
			noWarning = True
	)

input:{run:[lumilsnum(0),cmslsnum(1),timestamp(2),beamstatus(3),beamenergy(4),deliveredlumi(5),recordedlumi(6),calibratedlumierror(7),bxdata(8),beamdata(9),fillnum(10)]}
output:
fieldnames=['Run:Fill','LS','UTCTime','Delivered(/ub)','Recorded(/ub)','BX']

Definition at line 875 of file lumiReport.py.

References CommonUtil.flatten(), join(), harvestTrackValidationPlots.str, and CommonUtil.transposed().

def toCSVLumiByLSXing(lumidata,scalefactor,filename,irunlsdict=None,noWarning=True):
    '''
    input:{run:[lumilsnum(0),cmslsnum(1),timestamp(2),beamstatus(3),beamenergy(4),deliveredlumi(5),recordedlumi(6),calibratedlumierror(7),bxdata(8),beamdata(9),fillnum(10)]}
    output:
    fieldnames=['Run:Fill','LS','UTCTime','Delivered(/ub)','Recorded(/ub)','BX']
    '''
    result=[]
    assert(filename)
    fieldnames=['run:fill','ls','UTCTime','delivered(/ub)','recorded(/ub)','[bx,Hz/ub]']
    datarunlsdict={}#{run:[ls,...]}from data. construct it only if there is irunlsdict to compare with     
    for run in sorted(lumidata):
        rundata=lumidata[run]
        if rundata is None:
            result.append([str(run)+':0','n/a','n/a','n/a','n/a','n/a'])
            if irunlsdict and irunlsdict[run]:
                print '[WARNING] selected but no lumi data for run '+str(run)
            continue
        fillnum=0
        if rundata and rundata[0][10]:
            fillnum=rundata[0][10]
        if irunlsdict and not noWarning:
            existdata=[x[1] for x in rundata if x[1] ]
            datarunlsdict[run]=existdata
        for lsdata in rundata:
            lumilsnum=lsdata[0]
            cmslsnum=0
            if lsdata and lsdata[1]:
                cmslsnum=lsdata[1]
            tsStr='n/a'
            if lsdata and lsdata[2]:
                ts=lsdata[2]
                tsStr=ts.strftime('%m/%d/%y %H:%M:%S')
            deliveredlumi=0.
            if lsdata[5]:
                deliveredlumi=lsdata[5]
            recordedlumi=0.
            if lsdata[6]:
                recordedlumi=lsdata[6]
            (bxidxlist,bxvaluelist,bxerrorlist)=lsdata[8]
            if irunlsdict and irunlsdict[run]:
                if run in irunlsdict and cmslsnum in irunlsdict[run]:
                    if bxidxlist and bxvaluelist:
                        bxresult=[]
                        bxinfo=CommonUtil.transposed([bxidxlist,bxvaluelist])
                        bxresult=CommonUtil.flatten([str(run)+':'+str(fillnum),str(lumilsnum)+':'+str(cmslsnum),tsStr,deliveredlumi*scalefactor,recordedlumi*scalefactor,bxinfo])
                        result.append(bxresult)
                    else:
                        result.append([str(run)+':'+str(fillnum),str(lumilsnum)+':'+str(cmslsnum),tsStr,deliveredlumi*scalefactor,recordedlumi*scalefactor])
            else:
                if bxidxlist and bxvaluelist:
                    bxresult=[]
                    bxinfo=CommonUtil.transposed([bxidxlist,bxvaluelist])
                    bxresult=CommonUtil.flatten([str(run)+':'+str(fillnum),str(lumilsnum)+':'+str(cmslsnum),tsStr,deliveredlumi*scalefactor,recordedlumi*scalefactor,bxinfo])
                    result.append(bxresult)
                else:
                    result.append([str(run)+':'+str(fillnum),str(lumilsnum)+':'+str(cmslsnum),tsStr,deliveredlumi*scalefactor,recordedlumi*scalefactor])
    r=None
    if filename.upper()=='STDOUT':
        r=sys.stdout
        r.write(','.join(fieldnames)+'\n')
        for l in result:
            r.write(str(l)+'\n')
    else:
        r=csvReporter.csvReporter(filename)
        r.writeRow(fieldnames)
        r.writeRows(result)
    

def lumiReport.toScreenConfHlt	(		hltconfdata,
			iresults = [],
			toFile = None
	)

input : {runnumber,[(hltpath,l1seedexpr,l1bitname),...]}

Definition at line 1060 of file lumiReport.py.

References dumptocsv(), join(), python.rootplot.root2matplotlib.replace(), harvestTrackValidationPlots.str, and dataformats.wrap_onspace().

def toScreenConfHlt(hltconfdata,iresults=[],toFile=None):
    '''
    input : {runnumber,[(hltpath,l1seedexpr,l1bitname),...]}
    '''
    result=[]
    for r in iresults:
        pp=r[1]
        pp=' '.join([pp[i:i+25] for i in range(0,len(pp),25)])
        sdepr=r[2]
        sdepr=' '.join([sdepr[i:i+25] for i in range(0,len(sdepr),25)])
        lb=r[3]
        lb=' '.join([lb[i:i+25] for i in range(0,len(lb),25)])
        result.append([r[0],pp,sdepr,lb])
    for run in sorted(hltconfdata):
        pathdata=hltconfdata[run]
        if pathdata is None:
            result.append([str(run),'n/a','n/a','n/a'])
            continue
        for thispathinfo in pathdata:
            thispath=thispathinfo[0]
            thispath=' '.join([thispath[i:i+25] for i in range(0,len(thispath),25)])
            thisseed=thispathinfo[1]
            thisseed=' '.join([thisseed[i:i+25] for i in range(0,len(thisseed),25)]).replace('"','')
            thisbit=thispathinfo[2]
            if not thisbit:
                thisbit='n/a'
            else:
                thisbit=' '.join([thisbit[i:i+25] for i in range(0,len(thisbit),25)]).replace('"','')
            result.append([str(run),thispath,thisseed,thisbit])
    if not toFile:
        labels=[('Run','hltpath','l1seedexpr','l1bit')]
        print ' ==  = '
        print tablePrinter.indent (labels+result, hasHeader = True, separateRows = False,
                                   prefix = '| ', postfix = ' |', justify = 'left',
                                   delim = ' | ', wrapfunc = lambda x: wrap_onspace(x,25) )
    else:
        filename=toFile
        fieldnames=['Run','hltpath','l1seedexpr','l1bit']
        dumptocsv(fieldnames,sortedresult,filename)

def lumiReport.toScreenHeader	(		commandname,
			datatagname,
			normtag,
			worktag,
			updatetag,
			lumitype,
			toFile = None
	)

input:
   commandname: commandname
   datataginfo: tagname
   normtag: normtag
   worktag: working version
   updatetag: updated version if amy

Definition at line 27 of file lumiReport.py.

References join().

Referenced by toScreenLSBeam().

def toScreenHeader(commandname,datatagname,normtag,worktag,updatetag,lumitype,toFile=None):
    '''
    input:
       commandname: commandname
       datataginfo: tagname
       normtag: normtag
       worktag: working version
       updatetag: updated version if amy
    '''
    gmtnowStr=time.asctime(time.gmtime())+' UTC'
    updatetagStr='None'
    if updatetag:
        updatetagStr=updatetag
    header=''.join(['*']*80)+'\n'
    header+='* '+gmtnowStr+'\n'
    header+='* lumitype: '+lumitype+' , datatag: '+datatagname+' , normtag: '+normtag+' , worktag: '+worktag+'\n'
    header+='* \n'
    header+='* by:\n'
    header+='* '+commandname+'\n'
    header+='* \n'
    header+='* update: '+updatetag+'\n'
    header+=''.join(['*']*80)+'\n'
    if not toFile:
        sys.stdout.write(header)
    else:
        assert(toFile)
        if toFile.upper()=='STDOUT':
            r=sys.stdout
        else:
            r=open(toFile,'wb')
        r.write(header)
        

def lumiReport.toScreenLSBeam	(		beamdata,
			iresults = [],
			dumpIntensity = False,
			toFile = None
	)

input: {run:[(lumilsnum(0),cmslsnum(1),beamstatus(2),beamenergy(3),ncollidingbunches(4),beaminfolist(4)),..]}
beaminfolist:[(bxidx,b1,b2)]

Definition at line 1100 of file lumiReport.py.

References dumptocsv(), join(), harvestTrackValidationPlots.str, toScreenHeader(), and dataformats.wrap_onspace().

def toScreenLSBeam(beamdata,iresults=[],dumpIntensity=False,toFile=None):
    '''
    input: {run:[(lumilsnum(0),cmslsnum(1),beamstatus(2),beamenergy(3),ncollidingbunches(4),beaminfolist(4)),..]}
    beaminfolist:[(bxidx,b1,b2)]
    '''
    result=[]
    for rline in iresults:
        result.append(rline)
    for run in sorted(beamdata):
        perrundata=beamdata[run]
        if perrundata is None:            
            ll=[str(run),'n/a','n/a']
            if dumpIntensity:
                ll.extend('n/a')
            continue
        for lsdata in perrundata:
            lumilsnum=lsdata[0]
            cmslsnum=lsdata[1]
            beamstatus=lsdata[2]
            beamenergy=lsdata[3]
            ncollidingbx=lsdata[4]
            if not dumpIntensity:
                result.append([str(run),str(lumilsnum)+':'+str(cmslsnum),beamstatus,'%.2f'%beamenergy,str(ncollidingbx)])
                continue
            allbxinfo=lsdata[5]
            allbxresult=[]
            for thisbxinfo in allbxinfo:
                thisbxresultStr='(n/a,n/a,n/a,n/a)'
                bxidx=thisbxinfo[0]
                b1=thisbxinfo[1]
                b2=thisbxinfo[2]
                thisbxresultStr=','.join(['%d'%bxidx,'%.3e'%b1,'%.3e'%b2])
                allbxresult.append(thisbxresultStr)
            allbxresultStr=' '.join(allbxresult)
            result.append([str(run),str(lumilsnum)+':'+str(cmslsnum),beamstatus,'%.2f'%beamenergy,str(ncollidingbx),allbxresultStr])

    if not toFile:
        labels=[('Run','LS','beamstatus','egev','ncollidingbx')]
        if dumpIntensity:
            labels=[('Run','LS','beamstatus','egev','ncollidingbx','(bxidx,b1,b2)')]
        print ' ==  = '
        print tablePrinter.indent (labels+result, hasHeader = True, separateRows = False,
                                   prefix = '| ', postfix = ' |', justify = 'left',
                                   delim = ' | ', wrapfunc = lambda x: wrap_onspace(x,25) )
    else:
        fieldnames=['Run','LS','beamstatus','egev','ncollidingbx']
        if dumpIntensity:
            fieldnames.append('(bxidx,b1,b2)')
        filename=toFile
        dumptocsv(fieldnames,result,filename)

def lumiReport.toScreenLSEffective	(		lumidata,
			resultlines,
			scalefactor,
			irunlsdict = None,
			noWarning = True,
			toFile = None
	)

input:  {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)]}

Definition at line 538 of file lumiReport.py.

References mps_setup.append, dumptocsv(), objects.autophobj.float, createfilelist.int, CommonUtil.lumiUnitForPrint(), split, harvestTrackValidationPlots.str, and dataformats.wrap_onspace_strict().

def toScreenLSEffective(lumidata,resultlines,scalefactor,irunlsdict=None,noWarning=True,toFile=None):
    '''
    input:  {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)]}
    '''
    result=[]#[run,ls,hltpath,l1bitname,hltpresc,l1presc,efflumi]
    totalrow=[]
    totSelectedLSDict={}
    totRecordedDict={}
    totEffectiveDict={}

    totOldSelectedLSDict={}
    totOldRecordedDict={}
    totOldEffectiveDict={}

    maxlslumi = 0.0
    datarunlsdict={}#{run:[ls,...]}from data. construct it only if there is irunlsdict to compare with
    for rline in resultlines:
        runfillstr=rline[0]
        [runnumstr,fillnumstr]=runfillstr.split(':')
        if irunlsdict and not noWarning:
            if rline[1] is not 'n/a':
                datarunlsdict[int(runnumstr)]=[]
        myls=rline[1]
        mypath=rline[2]

        if myls and myls!='n/a' and mpath and mpath!='n/a':
            totOldSelectedLSDict[mypath]=0
            totOldRecordedDict[mypath]=0.
            totOldEffectiveDict[mypath]=0.
        if myls!='n/a':
            [luls,cmls]=myls.split(':')
            if cmls!='0':
                if mypath in totOldSelectedLSDict:
                    totOldSelectedLSDict[mypath]+=1
                if irunlsdict and not noWarning:
                    datarunlsdict[int(runnumstr)].append(int(myls))         
        myrecorded=0.
        if rline[6]!='n/a':
            myrecorded=float(rline[6])
            if myrecorded>maxlslumi:maxlslumi=myrecorded
            if mypath in totOldRecordedDict:
                totOldRecordedDict[mypath]+=myrecorded
            rline[6]=myrecorded
        myeff={}
        if rline[7]!='n/a':
            myeff=float(rline[7])
            if mypath in totOldEffectiveDict:
                totOldEffectiveDict[mypath]+=myeff
            rline[7]=myeff
        result.append(rline)        

    for run in lumidata.keys():#loop over runs
        lsdata=lumidata[run]
        if not lsdata:
            result.append([str(run),'n/a','n/a','n/a','n/a','n/a','n/a','n/a'])
            if irunlsdict and irunlsdict[run] and not noWarning:
                datarunlsdict[run]=None
            continue
        fillnum=0
        if lsdata[0] and lsdata[0][11]:
            fillnum=lsdata[0][11]
        datarunlsdict[run]=[]
        for thisls in lsdata:
            lumilsnum=thisls[0]
            cmslsnum=thisls[1]#triggered ls
            if not cmslsnum: continue
            efflumiDict=thisls[8]# this ls has no such path?            
            recordedlumi=0.
            if thisls[6]:
                recordedlumi=thisls[6]
            if recordedlumi>maxlslumi:maxlslumi=recordedlumi
            if not efflumiDict:
                result.append([str(run)+':'+str(fillnum),str(lumilsnum)+':'+str(cmslsnum),'n/a','n/a','n/a','n/a',recordedlumi,'n/a'])
                continue

            for hltpathname in sorted(efflumiDict):
                if hltpathname and hltpathname !='n/a' :
                    if hltpathname not in totRecordedDict:
                        totRecordedDict[hltpathname]=0. 
                    if hltpathname not in totSelectedLSDict:
                        totSelectedLSDict[hltpathname]=0
                    if hltpathname not in totEffectiveDict:
                        totEffectiveDict[hltpathname]=0.
                    totSelectedLSDict[hltpathname]+=1
                    totRecordedDict[hltpathname]+=recordedlumi
                pathdata=efflumiDict[hltpathname]
                l1name=pathdata[0]
                cleanl1name='n/a'
                if l1name:
                    cleanl1name=l1name.replace('"','')
                l1presc='0'
                if pathdata[1]:
                    l1presc=str(pathdata[1])
                hltpresc='0'
                if pathdata[2]:
                    hltpresc=str(pathdata[2])
                lumival=0.
                if pathdata[3]:
                    lumival=pathdata[3]
                result.append([str(run)+':'+str(fillnum),str(lumilsnum)+':'+str(cmslsnum),hltpathname,cleanl1name,hltpresc,l1presc,recordedlumi,lumival])
                if hltpathname and hltpathname !='n/a' :
                    totEffectiveDict[hltpathname]+=lumival
                if irunlsdict and not noWarning:
                    datarunlsdict[run].append(int(cmslsnum))
    sortedresult=sorted(result,key=lambda x : int(str(x[0]).split(':')[0]))
    if irunlsdict and not noWarning:
        for run,cmslslist in irunlsdict.items():
            if run not in datarunlsdict.keys() or datarunlsdict[run] is None:
                sys.stdout.write('[WARNING] selected run '+str(run)+' not in lumiDB or has no HLT data\n')
                continue
            if cmslslist:
                for ss in cmslslist:
                    if ss not in datarunlsdict[run]:
                        sys.stdout.write('[WARNING] selected run/ls '+str(run)+' '+str(ss)+' not in lumiDB or has no qualified data\n')
                        
    if not toFile:
        (lsunitstring,unitdenomitor)=CommonUtil.lumiUnitForPrint(maxlslumi*scalefactor)
        labels = [('Run:Fill','LS','HLTpath','L1bit','HLTpresc','L1presc','Recorded('+lsunitstring+')','Effective('+lsunitstring+')')]
        perlsresult=[]
        for entry in sortedresult:
            reclumi=entry[6]
            if reclumi!='n/a':
                reclumi='%.3f'%float(float(reclumi*scalefactor)/float(unitdenomitor))
            efflumi=entry[7]
            if efflumi!='n/a':
                efflumi='%.3f'%float(float(efflumi*scalefactor)/float(unitdenomitor))
            perlsresult.append([entry[0],entry[1],entry[2],entry[3],entry[4],entry[5],reclumi,efflumi])
        print ' ==  = '
        print tablePrinter.indent (labels+perlsresult, hasHeader = True, separateRows = False,
                                   prefix = '| ', postfix = ' |', justify = 'right',
                                   delim = ' | ', wrapfunc = lambda x: wrap_onspace_strict(x,25) )
        for mpath in sorted(totRecordedDict):
            totSelectedLS=totSelectedLSDict[mpath]
            if mpath in totOldSelectedLSDict:
                totSelectedLS+=totOldSelectedLS[mpath]
            totRecorded=totRecordedDict[mpath]
            if mpath in totOldRecordedDict:
                totRecorded+=totOldRecorded[mpath]
            totRecorded=float(totRecorded*scalefactor)/float(unitdenomitor)
            totEffective=totEffectiveDict[mpath]
            if mpath in totOldEffectiveDict:
                totEffective+=totOldEffective[mpath]
            totEffective=float(totEffective*scalefactor)/float(unitdenomitor)
            totalrow.append([str(totSelectedLS),mpath,'%.3f'%(totRecorded),'%.3f'%(totEffective)])
        lastrowlabels = [ ('Selected LS','HLTPath','Recorded('+lsunitstring+')','Effective('+lsunitstring+')')]
        print ' ==  =  Total : '
        print tablePrinter.indent (lastrowlabels+totalrow, hasHeader = True, separateRows = False, prefix = '| ',
                                   postfix = ' |', justify = 'right', delim = ' | ',
                                   wrapfunc = lambda x: wrap_onspace (x, 20))
    else:
        fieldnames = ['Run:Fill','LS','HLTpath','L1bit','HLTpresc','L1presc','Recorded(/ub)','Effective(/ub)']
        filename=toFile
        dumptocsv(fieldnames,sortedresult,filename)
        

def lumiReport.toScreenLSHlt	(		hltdata,
			iresults = [],
			toFile = None
	)

input:{runnumber:[(cmslsnum,[(hltpath,hltprescale,l1pass,hltaccept),...]),(cmslsnum,[])})}

Definition at line 1007 of file lumiReport.py.

References dumptocsv(), join(), and harvestTrackValidationPlots.str.

def toScreenLSHlt(hltdata,iresults=[],toFile=None):
    '''
    input:{runnumber:[(cmslsnum,[(hltpath,hltprescale,l1pass,hltaccept),...]),(cmslsnum,[])})}
    '''
    result=[]
    for r in iresults:
        result.append(r)
    for run in hltdata.keys():
        if hltdata[run] is None:            
            ll=[str(run),'n/a','n/a','n/a','n/a','n/a']
            continue
        perrundata=hltdata[run]
        for lsdata in perrundata:
            cmslsnum=lsdata[0]
            allpathinfo=lsdata[1]
            allpathresult=[]
            for thispathinfo in allpathinfo:
                thispathname=thispathinfo[0]
                thispathpresc=thispathinfo[1]
                thisl1pass=None
                thishltaccept=None
                thispathresult=[]
                thispathresult.append(thispathname)
                if thispathpresc is None:
                    thispathpresc='n/a'
                else:
                    thispathresult.append('%d'%thispathpresc)
                thisl1pass=thispathinfo[2]
                if thispathinfo[2] is None:
                    thispathresult.append('n/a')
                else:
                    thispathresult.append('%d'%thisl1pass)
                thishltaccept=thispathinfo[3]
                if thispathinfo[3] is None:
                    thispathresult.append('n/a')
                else:
                    thispathresult.append('%d'%thishltaccept)

                thispathresultStr='('+','.join(thispathresult)+')'
                allpathresult.append(thispathresultStr)
            result.append([str(run),str(cmslsnum),', '.join(allpathresult)])
            
    if not toFile:
        print ' ==  = '
        labels = [('Run', 'LS', '(hltpath,presc,l1pass,hltaccept)')]
        print tablePrinter.indent (labels+result, hasHeader = True, separateRows = False,
                                   prefix = '| ', postfix = ' |', justify = 'left',
                                   delim = ' | ', wrapfunc = lambda x: wrap_onspace (x,70) )
    else:
        fieldnames=['Run','LS','(hltpath,presc,l1pass,hltaccept)']
        filename=toFile
        dumptocsv(fieldnames,result,filename)
    

def lumiReport.toScreenLSTrg	(		trgdata,
			iresults = [],
			irunlsdict = None,
			noWarning = True,
			toFile = None,
			withoutmask = False
	)

input:{run:[[cmslsnum,deadfrac,deadtimecount,bitzero_count,bitzero_prescale,[(name,count,presc,mask),]],..]

Definition at line 942 of file lumiReport.py.

References mps_setup.append, dumptocsv(), createfilelist.int, join(), and harvestTrackValidationPlots.str.

def toScreenLSTrg(trgdata,iresults=[],irunlsdict=None,noWarning=True,toFile=None,withoutmask=False):
    '''
    input:{run:[[cmslsnum,deadfrac,deadtimecount,bitzero_count,bitzero_prescale,[(name,count,presc,mask),]],..]
    '''
    result=[]
    datarunlsdict={}#{run:[ls,...]}from data. construct it only if there is irunlsdict to compare with
    for rline in iresults:
        runnumStr=rline[0]
        cmslsnumStr=rline[1]
        if irunlsdict and not noWarning:
            if runnumStr is not 'n/a' and int(runnumStr) not in datarunlsdict:
                datarunlsdict[int(runnumstr)]=[]
            if cmslsnumStr!='n/a':
                datarunlsdict[int(runnumStr)].append(int(cmslsnumStr))
        result.append(rline)
    for run in trgdata.keys():
        rundata=trgdata[run]
        if not rundata:
            ll=[str(run),'n/a','n/a','n/a']
            result.append(ll)
            if irunlsdict and not noWarning:
                print '[WARNING] selected but no trg data for run '+str(run)
            continue
        if irunlsdict and not noWarning:
            existdata=[x[0] for x in rundata if x[0] ]
            datarunlsdict[run]=existdata
        deadfrac=0.0
        bitdataStr='n/a'
        for lsdata in rundata:
            cmslsnum=lsdata[0]
            deadfrac=lsdata[1]
            deadcount=lsdata[2]
            bitdata=lsdata[5]# already sorted by name
            if bitdata:
              if withoutmask:
                  flatbitdata=["("+x[0]+',%d'%x[1]+',%d'%x[2]+")" for x in bitdata if x[0]!='False']
                  bitdataStr=' '.join(flatbitdata)
              else:
                  #consider trg mask by default
                  flatbitdata=["("+x[0]+',%d'%x[1]+',%d'%x[2]+")" for x in bitdata if x[0]!='False' and x[3]]
                  bitdataStr=' '.join(flatbitdata)
            if irunlsdict and irunlsdict[run]:
                if run in irunlsdict and cmslsnum in irunlsdict[run]:
                    result.append([str(run),str(cmslsnum),'%.4f'%(deadfrac),bitdataStr])
            else:
                result.append([str(run),str(cmslsnum),'%.4f'%(deadfrac),bitdataStr])
    if irunlsdict and not noWarning:
        for run,cmslslist in irunlsdict.items():
            if run not in datarunlsdict.keys() or datarunlsdict[run] is None:
                sys.stdout.write('[WARNING] selected run '+str(run)+' not in lumiDB or has no qualified data\n')
                continue
            if cmslslist:
                for ss in cmslslist:
                    if ss not in datarunlsdict[run]:
                        sys.stdout.write('[WARNING] selected run/ls '+str(run)+' '+str(ss)+' not in lumiDB\n')
                        
    if not toFile:
        print ' ==  = '
        labels = [('Run', 'LS', 'dfrac','(bitname,count,presc)')]
        print tablePrinter.indent (labels+result, hasHeader = True, separateRows = False,prefix = '| ', postfix = ' |', justify = 'left',delim = ' | ', wrapfunc = lambda x: wrap_onspace (x,70) )
    else:
        filename=toFile
        fieldnames=['Run','LS','dfrac','(bitname,count,presc)']
        dumptocsv(fieldnames,result,filename)

def lumiReport.toScreenLumiByLS	(		lumidata,
			resultlines,
			scalefactor,
			irunlsdict = None,
			noWarning = True,
			toFile = None
	)

input:
lumidata {run:[lumilsnum(0),cmslsnum(1),timestamp(2),beamstatus(3),beamenergy(4),deliveredlumi(5),recordedlumi(6),calibratedlumierror(7),(bxidx,bxvalues,bxerrs)(8),(bxidx,b1intensities,b2intensities)(9),fillnum(10),pu(11)]}
{run:None}  None means no run in lumiDB, 
{run:[]} [] means no lumi for this run in lumiDB
{run:[....deliveredlumi(5),recordedlumi(6)None]} means no trigger in lumiDB
{run:cmslsnum(1)==0} means either not cmslsnum or is cms but not selected, therefore set recordedlumi=0,efflumi=0
resultlines [[resultrow1],[resultrow2],...,] existing result row

Definition at line 392 of file lumiReport.py.

References mps_setup.append, dumptocsv(), objects.autophobj.float, CommonUtil.guessUnit(), createfilelist.int, CommonUtil.lumiUnitForPrint(), split, and harvestTrackValidationPlots.str.

def toScreenLumiByLS(lumidata,resultlines,scalefactor,irunlsdict=None,noWarning=True,toFile=None):
    '''
    input:
    lumidata {run:[lumilsnum(0),cmslsnum(1),timestamp(2),beamstatus(3),beamenergy(4),deliveredlumi(5),recordedlumi(6),calibratedlumierror(7),(bxidx,bxvalues,bxerrs)(8),(bxidx,b1intensities,b2intensities)(9),fillnum(10),pu(11)]}
    {run:None}  None means no run in lumiDB, 
    {run:[]} [] means no lumi for this run in lumiDB
    {run:[....deliveredlumi(5),recordedlumi(6)None]} means no trigger in lumiDB
    {run:cmslsnum(1)==0} means either not cmslsnum or is cms but not selected, therefore set recordedlumi=0,efflumi=0
    resultlines [[resultrow1],[resultrow2],...,] existing result row
    '''
    result=[]
    totalrow = []
    
    totalDeliveredLS = 0
    totalSelectedLS = 0
    totalDelivered = 0.0
    totalRecorded = 0.0

    totOldDeliveredLS = 0
    totOldSelectedLS = 0
    totOldDelivered = 0.0
    totOldRecorded = 0.0

    maxlslumi = 0.0
    datarunlsdict={}#{run:[ls,...]}from data. construct it only if there is irunlsdict to compare with
    for rline in resultlines:
        runfillstr=rline[0]
        [runnumstr,fillnumstr]=runfillstr.split(':')
        if irunlsdict and not noWarning:
            if rline[1] is not 'n/a':
                datarunlsdict[int(runnumstr)]=[]
        myls=rline[1]
        if myls!='n/a':
            [luls,cmls]=myls.split(':')
            totOldDeliveredLS+=1
            if cmls!='0':
                totOldSelectedLS+=1
                if irunlsdict and not noWarning:
                    datarunlsdict[int(runnumstr)].append(int(myls))                    
        dl=rline[5]
        if rline[5]!='n/a':
            dl=float(rline[5])#delivered in /ub
            if dl>maxlslumi: maxlslumi=dl
            rline[5]=dl
            totOldDelivered+=dl
        rl=rline[6]
        if rline[6]!='n/a':
           rl=float(rline[6])#recorded in /ub
           rline[6]=rl
           totOldRecorded+=rl
        result.append(rline)
        
    for run in lumidata.keys():
        lsdata=lumidata[run]
        if not lsdata:
            #result.append([str(run),'n/a','n/a','n/a','n/a','n/a','n/a','n/a'])
            if irunlsdict and irunlsdict[run] and not noWarning:
                datarunlsdict[run]=None
                #print '[WARNING] selected but no lumi data for run '+str(run)
            continue
        fillnum=0
        if lsdata[0] and lsdata[0][10]:
            fillnum=lsdata[0][10]
        existdata=[]
        #if irunlsdict and not noWarning:
        #    existdata=[x[1] for x in rundata if x[1] ]
        #    datarunlsdict[run]=existdata
        for perlsdata in lsdata:
            lumilsnum=perlsdata[0]
            cmslsnum=perlsdata[1]#triggered ls
            if not noWarning:
                if cmslsnum:
                    existdata.append(cmslsnum)
            ts=perlsdata[2]
            bs=perlsdata[3]
            begev=perlsdata[4]
            deliveredlumi=perlsdata[5]
            npu=perlsdata[11]
            if deliveredlumi>maxlslumi: maxlslumi=deliveredlumi
            recordedlumi=0.
            if perlsdata[6]:
                recordedlumi=perlsdata[6]
            if irunlsdict and irunlsdict[run]:
                if run in irunlsdict and lumilsnum in irunlsdict[run]:
                    result.append([str(run)+':'+str(fillnum),str(lumilsnum)+':'+str(cmslsnum),ts.strftime('%m/%d/%y %H:%M:%S'),bs,'%.1f'%begev,deliveredlumi,recordedlumi,npu])                
                    totalDelivered+=deliveredlumi
                    totalRecorded+=recordedlumi
                    totalDeliveredLS+=1
                    totalSelectedLS+=1
            else:
                result.append([str(run)+':'+str(fillnum),str(lumilsnum)+':'+str(cmslsnum),ts.strftime('%m/%d/%y %H:%M:%S'),bs,'%.1f'%begev,deliveredlumi,recordedlumi,npu])
                totalDelivered+=deliveredlumi
                totalRecorded+=recordedlumi
                totalDeliveredLS+=1
                if cmslsnum :
                    totalSelectedLS+=1
        datarunlsdict[run]=existdata       
    sortedresult=sorted(result,key=lambda x : int(str(x[0]).split(':')[0]))    
    if irunlsdict and not noWarning:
        for run,cmslslist in irunlsdict.items():
            if run not in datarunlsdict.keys() or datarunlsdict[run] is None:
                sys.stdout.write('[WARNING] selected run '+str(run)+' not in lumiDB or has no qualified data\n')
                continue
            if cmslslist:
                for ss in cmslslist:
                    if ss not in datarunlsdict[run]:
                        sys.stdout.write('[WARNING] lumi or trg for selected run/ls '+str(run)+' '+str(ss)+' not in lumiDB\n')
    if not toFile:                    
        (lsunitstring,unitdenomitor)=CommonUtil.lumiUnitForPrint(maxlslumi*scalefactor)
        labels = [ ('Run:Fill','LS','UTCTime','Beam Status','E(GeV)','Del('+lsunitstring+')','Rec('+lsunitstring+')','avgPU') ]                    
        perlsresult=[]
        for entry in sortedresult:
            delumi=entry[5]
            if delumi!='n/a':
                delumi='%.3f'%float(float(delumi*scalefactor)/float(unitdenomitor))
            reclumi=entry[6]
            if reclumi!='n/a':
                reclumi='%.3f'%float(float(reclumi*scalefactor)/float(unitdenomitor))
            avgPU=entry[7]
            if avgPU!='n/a':                
                if avgPU>0:
                    avgPU='%.3f'%avgPU
                else:
                    avgPU='0'
            perlsresult.append([entry[0],entry[1],entry[2],entry[3],entry[4],delumi,reclumi,avgPU])
        totdeliveredlumi=0.0
        deliveredlumiunit='/ub'
        (totdeliveredlumi,deliveredlumiunit)=CommonUtil.guessUnit((totalDelivered+totOldDelivered)*scalefactor)
        totrecordedlumi=0.0
        recordedlumiunit='/ub'
        (totrecordedlumi,recordedlumiunit)=CommonUtil.guessUnit((totalRecorded+totOldRecorded)*scalefactor)
        lastrowlabels = [ ('Delivered LS','Selected LS', 'Delivered('+deliveredlumiunit+')', 'Recorded('+recordedlumiunit+')')]
        totalrow.append ([str(totalDeliveredLS+totOldDeliveredLS),str(totalSelectedLS+totOldSelectedLS),'%.3f'%(totdeliveredlumi),'%.3f'%(totrecordedlumi)])
        print ' ==  = '
        print tablePrinter.indent (labels+perlsresult, hasHeader = True, separateRows = False, prefix = '| ',
                                   postfix = ' |', justify = 'right', delim = ' | ',
                                   wrapfunc = lambda x: wrap_onspace_strict (x, 22))
        print ' ==  =  Total : '
        print tablePrinter.indent (lastrowlabels+totalrow, hasHeader = True, separateRows = False, prefix = '| ',
                                   postfix = ' |', justify = 'right', delim = ' | ',
                                   wrapfunc = lambda x: wrap_onspace (x, 20))    
    else:
        fieldnames=['Run:Fill','LS','UTCTime','Beam Status','E(GeV)','Delivered(/ub)','Recorded(/ub)','avgPU']
        filename=toFile
        dumptocsv(fieldnames,sortedresult,filename)

def lumiReport.toScreenNormDetail	(		normname,
			norminfo,
			normvalues
	)

list norm detail
input:
    normname
    norminfo=[data_id[0],lumitype(1)istypedefault[2],comment[3],creationtime[4]]
    normvalues={since:[corrector(0),{paramname:paramvalue}(1),amodetag(2),egev(3),comment(4)]}

Definition at line 76 of file lumiReport.py.

References objects.autophobj.float, and harvestTrackValidationPlots.str.

def toScreenNormDetail(normname,norminfo,normvalues):
    '''
    list norm detail
    input:
        normname
        norminfo=[data_id[0],lumitype(1)istypedefault[2],comment[3],creationtime[4]]
        normvalues={since:[corrector(0),{paramname:paramvalue}(1),amodetag(2),egev(3),comment(4)]}
    '''
    lumitype=norminfo[1]
    istypedefault=norminfo[2]
    print '=========================================================='
    print '* Norm: '+normname
    print '* Type: '+lumitype
    print '* isDefault: '+str(istypedefault)
    print '=========================================================='
    labels=[('Since','Func','Parameters','amodetag','egev','comment')]

    result=[]
    print ' ==  = '
    for since in sorted(normvalues):
        normdata=normvalues[since]
        correctorStr=normdata[0]
        paramDict=normdata[1]
        paramDictStr=''
        count=0
        for pname in sorted(paramDict):
            pval=paramDict[pname]
            if count!=0:
                paramDictStr+=' '
            try:
                fpval=float(pval)
                if fpval<1.:
                    paramDictStr+=pname+':'+'%.4f'%fpval
                else:
                    paramDictStr+=pname+':'+'%.2f'%fpval
            except ValueError:
                paramDictStr+=pname+':'+pval
            count+=1
        amodetag=normdata[2]
        egev=str(normdata[3])
        comment=normdata[4]
        result.append([str(since),correctorStr,paramDictStr,amodetag,egev,comment])
    print tablePrinter.indent (labels+result, hasHeader = True, separateRows = False,prefix = '| ', postfix = ' |', justify = 'left',delim = ' | ', wrapfunc = lambda x: wrap_onspace (x,40) ) 

def lumiReport.toScreenNormSummary

(

allnorms

)

list all known norms summary
input: {normname:[data_id(0),lumitype(1),istypedefault(2),comment(3),creationtime(4)]}

Definition at line 59 of file lumiReport.py.

References harvestTrackValidationPlots.str.

def toScreenNormSummary(allnorms):
    '''
    list all known norms summary
    input: {normname:[data_id(0),lumitype(1),istypedefault(2),comment(3),creationtime(4)]}
    '''
    result=[]
    labels=[('Name','Type','IsTypeDefault','Comment','CreationTime')]
    print ' ==  = '
    sorted_allnorms=sorted(allnorms.iteritems(),key=lambda x:x[0],reverse=True)
    for (normname,normvalues) in sorted_allnorms:
        lumitype=normvalues[1]
        istypedefault=str(normvalues[2])
        commentStr=normvalues[3]
        creationtime=normvalues[4]
        result.append([normname,lumitype,istypedefault,commentStr,creationtime])
    print tablePrinter.indent (labels+result, hasHeader = True, separateRows = False,prefix = '| ', postfix = ' |', justify = 'left',delim = ' | ', wrapfunc = lambda x: wrap_onspace (x,20) ) 

def lumiReport.toScreenOverview	(		lumidata,
			resultlines,
			scalefactor,
			irunlsdict = None,
			noWarning = True,
			toFile = None
	)

input:
lumidata {run:[lumilsnum(0),cmslsnum(1),timestamp(2),beamstatus(3),beamenergy(4),deliveredlumi(5),recordedlumi(6),calibratedlumierror(7),(bxidx,bxvalues,bxerrs)(8),(bxidx,b1intensities,b2intensities)(9),fillnum(10)]}
resultlines [[resultrow1],[resultrow2],...,] existing result row

Definition at line 260 of file lumiReport.py.

References dumptocsv(), objects.autophobj.float, CommonUtil.guessUnit(), reco.if(), createfilelist.int, split, CommonUtil.splitlistToRangeString(), and harvestTrackValidationPlots.str.

def toScreenOverview(lumidata,resultlines,scalefactor,irunlsdict=None,noWarning=True,toFile=None):
    '''
    input:
    lumidata {run:[lumilsnum(0),cmslsnum(1),timestamp(2),beamstatus(3),beamenergy(4),deliveredlumi(5),recordedlumi(6),calibratedlumierror(7),(bxidx,bxvalues,bxerrs)(8),(bxidx,b1intensities,b2intensities)(9),fillnum(10)]}
    resultlines [[resultrow1],[resultrow2],...,] existing result row
    '''
    result=[]

    totOldDeliveredLS=0
    totOldSelectedLS=0
    totOldDelivered=0.0
    totOldRecorded=0.0
    
    totaltable=[]
    totalDeliveredLS = 0
    totalSelectedLS = 0
    totalDelivered = 0.0
    totalRecorded = 0.0
    datarunlsdict={}#{run:[ls,...]}from data. construct it only if there is irunlsdict to compare with
    for r in resultlines:
        runfillstr=r[0]
        [runnumstr,fillnumstr]=runfillstr.split(':')
        if irunlsdict and not noWarning:
            if r[1] is not 'n/a':
                datarunlsdict[int(runnumstr)]=[]
        dl=0.0
        if(r[2]!='n/a'):            
            dl=float(r[2])#delivered in /ub because it comes from file!
            (rr,lumiu)=CommonUtil.guessUnit(dl)
            r[2]='%.3f'%(rr)+' ('+lumiu+')'
        dls=0
        if(r[1]!='n/a'):
            dls=int(r[1])
        totOldDeliveredLS+=dls
        totOldDelivered+=dl
        rls=0
        if(r[3]!='n/a'):
            rlsstr=r[3]
            listcomp=rlsstr.split(', ')
            for lstr in listcomp:
                enddigs=lstr[1:-1].split('-')
                lsmin=int(enddigs[0])
                lsmax=int(enddigs[1])
                rls=lsmax-lsmin+1
                totOldSelectedLS+=rls
        if(r[4]!='n/a'):
            rcd=float(r[4])#recorded in /ub because it comes from file!
            (rrcd,rlumiu)=CommonUtil.guessUnit(rcd)
            r[4]='%.3f'%(rrcd)+' ('+rlumiu+')'
        totOldRecorded+=rcd
        result.append(r)
    for run in lumidata.keys():
        lsdata=lumidata[run]
        if not lsdata:
            result.append([str(run)+':0','n/a','n/a','n/a','n/a'])
            if irunlsdict and irunlsdict[run] and not noWarning:
                datarunlsdict[run]=None
            continue
        fillnum=0
        if lsdata[0] and lsdata[0][10]:
            fillnum=lsdata[0][10]
        deliveredData=[]
        recordedData=[]
        nls=0
        existdata=[]
        selectedcmsls=[]
        for perlsdata in lsdata:
            lumilsnum=perlsdata[0]
            cmslsnum=perlsdata[1]
            if not noWarning:
                if cmslsnum:
                    existdata.append(cmslsnum)
            if irunlsdict and irunlsdict[run]:
                if lumilsnum and lumilsnum in irunlsdict[run]:
                    if perlsdata[5] is not None:
                        deliveredData.append(perlsdata[5])
                    if perlsdata[6]:
                        recordedData.append(perlsdata[6])
                    selectedcmsls.append(lumilsnum)
            else:
                deliveredData.append(perlsdata[5])
                if perlsdata[6]:
                    recordedData.append(perlsdata[6])
                if cmslsnum:                    
                    selectedcmsls.append(cmslsnum)
        datarunlsdict[run]=existdata
        nls=len(deliveredData)
        totdelivered=sum(deliveredData)
        totalDelivered+=totdelivered
        totalDeliveredLS+=len(deliveredData)
        (totdeliveredlumi,deliveredlumiunit)=CommonUtil.guessUnit(totdelivered)
        totrecorded=sum(recordedData)
        totalRecorded+=totrecorded
        (totrecordedlumi,recordedlumiunit)=CommonUtil.guessUnit(totrecorded)
        totalSelectedLS+=len(selectedcmsls)
        if len(selectedcmsls)==0:
            selectedlsStr='n/a'
        else:
            selectedlsStr = CommonUtil.splitlistToRangeString(selectedcmsls)
        if not toFile:
            result.append([str(run)+':'+str(fillnum),str(nls),'%.3f'%(totdeliveredlumi*scalefactor)+' ('+deliveredlumiunit+')',selectedlsStr,'%.3f'%(totrecordedlumi*scalefactor)+' ('+recordedlumiunit+')'])
        else:
            result.append([str(run)+':'+str(fillnum),nls,totdelivered*scalefactor,selectedlsStr,totrecorded*scalefactor])
    sortedresult=sorted(result,key=lambda x : int(str(x[0]).split(':')[0]))
    if irunlsdict and not noWarning:
        for run,cmslslist in irunlsdict.items():
            if run not in datarunlsdict.keys() or datarunlsdict[run] is None:
                sys.stdout.write('[WARNING] selected run '+str(run)+' not in lumiDB or has no qualified data\n')
                continue
            if cmslslist:
                for ss in cmslslist:
                    if ss not in datarunlsdict[run]:
                        sys.stdout.write('[WARNING] lumi or trg for selected run/ls '+str(run)+' '+str(ss)+' not in lumiDB\n')
    if not toFile:
        labels = [('Run:Fill', 'Delivered LS', 'Delivered','Selected LS','Recorded')]    
        print ' ==  = '
        print tablePrinter.indent (labels+sortedresult, hasHeader = True, separateRows = False,
                                   prefix = '| ', postfix = ' |', justify = 'right',
                                   delim = ' | ', wrapfunc = lambda x: wrap_onspace (x,20) )
        print ' ==  =  Total : '
        (totalDeliveredVal,totalDeliveredUni)=CommonUtil.guessUnit(totalDelivered+totOldDelivered)
        (totalRecordedVal,totalRecordedUni)=CommonUtil.guessUnit(totalRecorded+totOldRecorded)
        totrowlabels = [('Delivered LS','Delivered('+totalDeliveredUni+')','Selected LS','Recorded('+totalRecordedUni+')')]
        totaltable.append([str(totalDeliveredLS+totOldDeliveredLS),'%.3f'%(totalDeliveredVal*scalefactor),str(totalSelectedLS+totOldSelectedLS),'%.3f'%(totalRecordedVal*scalefactor)])
        print tablePrinter.indent (totrowlabels+totaltable, hasHeader = True, separateRows = False, prefix = '| ',
                                   postfix = ' |', justify = 'right', delim = ' | ',
                                   wrapfunc = lambda x: wrap_onspace (x, 20))
    else:
        fieldnames = ['Run:Fill', 'DeliveredLS', 'Delivered(/ub)','SelectedLS','Recorded(/ub)']
        filename=toFile
        dumptocsv(fieldnames,sortedresult,filename)
        

def lumiReport.toScreenSingleTag

(

taginfo

)

input: {run:(lumidataid,trgdataid,hltdataid,comment)}

Definition at line 135 of file lumiReport.py.

References join(), and harvestTrackValidationPlots.str.

def toScreenSingleTag(taginfo):
    '''
    input: {run:(lumidataid,trgdataid,hltdataid,comment)}
    '''
    result=[]
    labels=[('Run','Data Id','Insertion Time','Patch Comment')]
    print ' ==  = '
    for run in sorted(taginfo):
        (lumidataid,trgdataid,hltdataid,(ctimestr,comment))=taginfo[run]
        payloadid='-'.join([str(lumidataid),str(trgdataid),str(hltdataid)])
        result.append([str(run),payloadid,ctimestr,comment])
    print tablePrinter.indent (labels+result, hasHeader = True, separateRows = False,prefix = '| ', postfix = ' |', justify = 'left',delim = ' | ', wrapfunc = lambda x: wrap_onspace (x,25) )
    

def lumiReport.toScreenTags

(

tagdata

)

Definition at line 120 of file lumiReport.py.

References harvestTrackValidationPlots.str.

def toScreenTags(tagdata):
    result=[]
    labels=[('Name','Min Run','Max Run','Creation Time')]
    print ' ==  = '
    for tagid in sorted(tagdata):
        taginfo=tagdata[tagid]
        name=taginfo[0]
        minRun=str(taginfo[1])
        maxRun='Open'
        if taginfo[2]!=0:
            maxRun=str(taginfo[2])
        creationtime=taginfo[3]
        result.append([name,minRun,maxRun,creationtime])
    print tablePrinter.indent (labels+result, hasHeader = True, separateRows = False,prefix = '| ', postfix = ' |', justify = 'left',delim = ' | ', wrapfunc = lambda x: wrap_onspace (x,20) ) 

def lumiReport.toScreenTotDelivered	(		lumidata,
			resultlines,
			scalefactor,
			irunlsdict = None,
			noWarning = True,
			toFile = None
	)

inputs:
lumidata {run:[lumilsnum(0),cmslsnum(1),timestamp(2),beamstatus(3),beamenergy(4),deliveredlumi(5),calibratedlumierror(6),(bxidx,bxvalues,bxerrs)(7),(bxidx,b1intensities,b2intensities)(8),fillnum)(9)]}  
resultlines [[resultrow1],[resultrow2],...,] existing result row
            ('Run:Fill', 'N_LS','N_CMSLS','Delivered','UTCTime','E(GeV)')
irunlsdict: run/ls selection list. irunlsdict=None means no filter

Definition at line 148 of file lumiReport.py.

References dumptocsv(), objects.autophobj.float, CommonUtil.guessUnit(), reco.if(), createfilelist.int, split, and harvestTrackValidationPlots.str.

def toScreenTotDelivered(lumidata,resultlines,scalefactor,irunlsdict=None,noWarning=True,toFile=None):
    '''
    inputs:
    lumidata {run:[lumilsnum(0),cmslsnum(1),timestamp(2),beamstatus(3),beamenergy(4),deliveredlumi(5),calibratedlumierror(6),(bxidx,bxvalues,bxerrs)(7),(bxidx,b1intensities,b2intensities)(8),fillnum)(9)]}  
    resultlines [[resultrow1],[resultrow2],...,] existing result row
                ('Run:Fill', 'N_LS','N_CMSLS','Delivered','UTCTime','E(GeV)')
    irunlsdict: run/ls selection list. irunlsdict=None means no filter
    '''
    result=[]
    totOldDeliveredLS=0
    totOldCMSLS=0
    totOldDelivered=0.0
    datarunlsdict={}#{run:[ls,...]}from data. construct it only if there is irunlsdict to compare with
    for r in resultlines:
        runfillstr=r[0]
        [runnumstr,fillnumstr]=runfillstr.split(':')
        if irunlsdict and not noWarning:
            if r[1] is not 'n/a':
                datarunlsdict[int(runnumstr)]=[]
        dl=0.0
        if(r[3]!='n/a'):            #delivered
            dl=float(r[3])#in /ub because it comes from file!
            (rr,lumiu)=CommonUtil.guessUnit(dl)
            r[3]='%.3f'%(rr)+' ('+lumiu+')'            
        sls=0
        if(r[1]!='n/a'): #n_ls
            sls=int(r[1])
        totcmsls=0
        if(r[2]!='n/a'):#n_cmsls
            totcmsls=int(r[2])
        totOldDeliveredLS+=sls
        totOldCMSLS+=totcmsls
        totOldDelivered+=dl
        if(r[5]!='n/a'): #egev
            egv=float(r[5])
            r[5]='%.1f'%egv
        result.append(r)
    totls=0
    totcmsls=0
    totdelivered=0.0
    totaltable=[]    
    for run in lumidata.keys():
        lsdata=lumidata[run]
        if not lsdata:
            result.append([str(run)+':0','n/a','n/a','n/a','n/a','n/a'])
            if irunlsdict and not noWarning:
                datarunlsdict[run]=None
            continue
        fillnum=0
        if lsdata[0] and lsdata[0][9]:
            fillnum=lsdata[0][9]
        deliveredData=[]
        nls=0
        existdata=[]
        selectedcmsls=[]
        for perlsdata in lsdata:
            lumilsnum=perlsdata[0]
            cmslsnum=perlsdata[1]
            if not noWarning:
                if cmslsnum:
                    existdata.append(cmslsnum)
            if irunlsdict and irunlsdict[run]:
                if lumilsnum and lumilsnum in irunlsdict[run]:
                    deliveredData.append(perlsdata[5])
                    if cmslsnum:
                        selectedcmsls.append(cmslsnum)
            else:
                deliveredData.append(perlsdata[5])
                if cmslsnum:                    
                    selectedcmsls.append(cmslsnum)
        datarunlsdict[run]=existdata
        nls=len(deliveredData)
        ncmsls=0
        if selectedcmsls:
            ncmsls=len(selectedcmsls)
            totcmsls+=ncmsls
        totls+=nls
        totlumi=sum(deliveredData)
        totdelivered+=totlumi
        (totlumival,lumiunit)=CommonUtil.guessUnit(totlumi)
        beamenergyPerLS=[float(x[4]) for x in lsdata if x[3]=='STABLE BEAMS']
        avgbeamenergy=0.0
        if len(beamenergyPerLS):
            avgbeamenergy=sum(beamenergyPerLS)/len(beamenergyPerLS)
        runstarttime='n/a'
        if lsdata[0] and lsdata[0][2]:
            runstarttime=lsdata[0][2]
            runstarttime=runstarttime.strftime("%m/%d/%y %H:%M:%S")
        if not toFile:
            result.append([str(run)+':'+str(fillnum),str(nls),str(ncmsls),'%.3f'%(totlumival*scalefactor)+' ('+lumiunit+')',runstarttime,'%.1f'%(avgbeamenergy)])
        else:
            result.append([str(run)+':'+str(fillnum),str(nls),str(ncmsls),(totlumi*scalefactor),runstarttime,'%.1f'%(avgbeamenergy)])
    sortedresult=sorted(result,key=lambda x : int(str(x[0]).split(':')[0]))
    #print 'sortedresult ',sortedresult
    if not toFile:
        labels = [('Run:Fill', 'N_LS','N_CMSLS','Delivered','UTCTime','E(GeV)')]
        print ' ==  = '
        print tablePrinter.indent (labels+sortedresult, hasHeader = True, separateRows = False,
                                   prefix = '| ', postfix = ' |', justify = 'right',
                                   delim = ' | ', wrapfunc = lambda x: wrap_onspace (x,40) )
        print ' ==  =  Total : '
        (totalDeliveredVal,totalDeliveredUni)=CommonUtil.guessUnit(totdelivered+totOldDelivered)
        totrowlabels = [('Delivered LS','Total CMS LS','Delivered('+totalDeliveredUni+')')]
        totaltable.append([str(totls+totOldDeliveredLS),str(totcmsls+totOldCMSLS),'%.3f'%(totalDeliveredVal*scalefactor)])
        print tablePrinter.indent (totrowlabels+totaltable, hasHeader = True, separateRows = False, prefix = '| ',
                                   postfix = ' |', justify = 'right', delim = ' | ',
                                   wrapfunc = lambda x: wrap_onspace (x, 20))
    else:
        fieldnames = ['Run:Fill', 'N_LS','N_CMSLS','Delivered(/ub)','UTCTime','E(GeV)']
        filename=toFile
        dumptocsv(fieldnames,sortedresult,filename)
                

def lumiReport.toScreenTotEffective	(		lumidata,
			resultlines,
			scalefactor,
			irunlsdict = None,
			noWarning = True,
			toFile = None
	)

input:  {run:[lumilsnum(0),triggeredls(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)}
screen Run,SelectedLS,Recorded,HLTPath,L1Bit,Effective

Definition at line 692 of file lumiReport.py.

References mps_setup.append, dumptocsv(), objects.autophobj.float, CommonUtil.guessUnit(), createfilelist.int, join(), list(), split, CommonUtil.splitlistToRangeString(), harvestTrackValidationPlots.str, and dataformats.wrap_onspace_strict().

def toScreenTotEffective(lumidata,resultlines,scalefactor,irunlsdict=None,noWarning=True,toFile=None):

    '''
    input:  {run:[lumilsnum(0),triggeredls(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)}
    screen Run,SelectedLS,Recorded,HLTPath,L1Bit,Effective
    '''
    result=[]#[run,selectedlsStr,recordedofthisrun,hltpath,l1bit,efflumi]
    
    totdict={}#{hltpath:[nls,toteff]}
    selectedcmsls=[]
    alltotrecorded=0.0
    alleffective=0.0
    recordedPerpathPerrun={}#{path:{run:recorded}}
    selectedPerpathPerrun={}#{path:{run:totselected}}
    datarunlsdict={}#{run:[ls,...]}from data. construct it only if there is irunlsdict to compare with
    for rline in resultlines:
        runfillstr=rline[0]
        [runnumstr,fillnumstr]=runfillstr.split(':')
        myls=rline[1]
        if irunlsdict and not noWarning:
            if myls is not 'n/a':
                datarunlsdict[int(runnumstr)]=[]  
        mypath=rline[3]
        if mypath!='n/a':
            mypath=mypath.split('(')[0]
            if mypath not in totdict:
                totdict[mypath]=[0,0.0]
                recordedPerpathPerrun[mypath]={}
                selectedPerpathPerrun[mypath]={}
        if myls!='n/a':
            listcomp=myls.split(', ')
            for lstr in listcomp:
                enddigs=lstr[1:-1].split('-')
                lsmin=int(enddigs[0])
                lsmax=int(enddigs[1])
                rls=lsmax-lsmin+1
                totdict[mypath][0]+=rls                
            selectedPerrun[mypath].setdefault(int(myrun),totdict[mypath][0])
        myrecorded=rline[2]
        if myrecorded!='n/a':
            recordedPerpathPerrun[mypath].setdefault(int(myrun),float(myrecorded))
            (rr,lumiu)=CommonUtil.guessUnit(float(myrecorded))
            rline[2]='%.3f'%(rr)+' ('+lumiu+')'
        myeff=rline[5]
        if myeff!='n/a':
            reff=float(myeff)
            (rr,lumiu)=CommonUtil.guessUnit(float(reff))
            rline[5]='%.3f'%(rr)+' ('+lumiu+')'
            totdict[mypath][1]+=reff
        result.append(rline)
    for run in lumidata.keys():#loop over runs
        lsdata=lumidata[run]
        hprescdict={}
        lprescdict={}
        if not lsdata:
            result.append([str(run),'n/a','n/a','n/a','n/a','n/a'])
            if irunlsdict and irunlsdict[run] and not noWarning:
                datarunlsdict[run]=None
            continue
        fillnum=0
        if lsdata[0] and lsdata[0][11]:
            fillnum=lsdata[0][11]
        selectedcmsls=[x[1] for x in lsdata if x[1]]
        totefflumiDict={}
        totrecorded=0.0
        toteffective=0.0
        pathmap={}#{hltpathname:1lname}
        existdata=[]
        for thisls in lsdata:            
            cmslsnum=thisls[1]
            if not noWarning:
                if cmslsnum:
                    existdata.append(cmslsnum)
            efflumiDict=thisls[8]# this ls has no such path?
            recordedlumi=0.0
            if thisls[6]:
                recordedlumi=thisls[6]
            totrecorded+=recordedlumi
            if not efflumiDict:#no hltdata for this LS
                lumival=0.
                if cmslsnum in selectedcmsls:
                    selectedcmsls.remove(cmslsnum)
                continue            
            for hltpathname in sorted(efflumiDict):
                pathdata=efflumiDict[hltpathname]
                if hltpathname not in totefflumiDict:
                    totefflumiDict[hltpathname]=0.0
                    pathmap[hltpathname]='n/a'
                l1name=pathdata[0]
                l1presc=pathdata[1]
                hltpresc=pathdata[2]
                lumival=pathdata[3]
                recordedPerpathPerrun.setdefault(hltpathname,{})
                selectedPerpathPerrun.setdefault(hltpathname,{})
                if hltpathname not in totdict:
                    totdict[hltpathname]=[0,0.0]
                if l1presc is None or hltpresc is None:#if found all null prescales and if it is in the selectedcmsls, remove it because incomplete
                    if cmslsnum in selectedcmsls:
                        selectedcmsls.remove(cmslsnum)
                else:                    
                    if hltpathname not in hprescdict:
                        hprescdict[hltpathname]=[]
                    hprescdict[hltpathname].append(hltpresc)
                    if l1name not in lprescdict:
                        lprescdict[l1name]=[]
                    lprescdict[l1name].append(l1presc)
                    if cmslsnum!=0:
                        totdict[hltpathname][0]+=1                    
                    if lumival:
                        totdict[hltpathname][1]+=lumival
                        totefflumiDict[hltpathname]+=lumival
                        pathmap[hltpathname]=l1name
                    recordedPerpathPerrun[hltpathname][run]=totrecorded
                    selectedPerpathPerrun[hltpathname][run]=len(selectedcmsls)
        if len(selectedcmsls)==0:
            selectedlsStr='n/a'
        else:
            selectedlsStr = CommonUtil.splitlistToRangeString(selectedcmsls)
        if irunlsdict and not noWarning:
            datarunlsdict[run]=selectedcmsls
        
        for name in sorted(totefflumiDict):
            lname=pathmap[name]
            totrecordedinrun=recordedPerpathPerrun[name][run]
            hprescs=list(set(hprescdict[name]))
            hprescStr='('+','.join(['%d'%(x) for x in hprescs])+')'
            (totrecval,totrecunit)=CommonUtil.guessUnit(totrecordedinrun*scalefactor)
            effval='n/a'

            effvalStr='n/a'
            lprescStr='n/a'
            cleanlname=''
            if lname!='n/a':
                effval=totefflumiDict[name]*scalefactor
                lprescs=list(set(lprescdict[lname]))
                lprescStr='('+','.join(['%d'%(x) for x in lprescs])+')'
                cleanlname=lname.replace('"','')
                (efflumival,efflumiunit)=CommonUtil.guessUnit(effval)
                effvalStr='%.3f'%(efflumival)+'('+efflumiunit+')'
            if not toFile:
                result.append([str(run)+':'+str(fillnum),selectedlsStr,'%.3f'%(totrecval)+'('+totrecunit+')',name+hprescStr,cleanlname+lprescStr,effvalStr])
            else:
                result.append([str(run)+':'+str(fillnum),selectedlsStr,totrecordedinrun*scalefactor,name+hprescStr,cleanlname+lprescStr,effval])
                
    if irunlsdict and not noWarning:
        for run,cmslslist in irunlsdict.items():
            if run not in datarunlsdict.keys() or datarunlsdict[run] is None:
                sys.stdout.write('[WARNING] selected run '+str(run)+' not in lumiDB or has no HLT data\n')
                continue
            if cmslslist:
                for ss in cmslslist:
                    if ss not in datarunlsdict[run]:
                        sys.stdout.write('[WARNING] selected run/ls '+str(run)+' '+str(ss)+' not in lumiDB or has no HLT data\n')
                        
    sortedresult=sorted(result,key=lambda x : int(str(x[0]).split(':')[0]))

    if not toFile:
        labels = [('Run:Fill','SelectedLS','Recorded','HLTpath(Presc)','L1bit(Presc)','Effective')]
        print ' ==  = '
        print tablePrinter.indent (labels+sortedresult, hasHeader = True, separateRows = False,
                                   prefix = '| ', postfix = ' |', justify = 'right',
                                   delim = ' | ', wrapfunc = lambda x: wrap_onspace_strict(x,22) )
        print ' ==  =  Total : '
        lastrowlabels=[('HLTPath','SelectedLS','Recorded','Effective')]
        totresult=[]
        for hname in sorted(totdict):
            hdata=totdict[hname]
            totnls=hdata[0]
            (toteffval,toteffunit)=CommonUtil.guessUnit(hdata[1]*scalefactor)
            alltotrecorded=0.0
            selectedThispath=selectedPerpathPerrun[hname]
            for runnumber,nselected in selectedThispath.items():
                if nselected==0: continue
                alltotrecorded+=recordedPerpathPerrun[hname][runnumber]
            (alltotrecordedVal,alltotrecordedunit)=CommonUtil.guessUnit(alltotrecorded*scalefactor)                                                   
            totresult.append([hname,str(totnls),'%.3f'%(alltotrecordedVal)+'('+alltotrecordedunit+')','%.3f'%(toteffval)+'('+toteffunit+')'])
        print tablePrinter.indent (lastrowlabels+totresult, hasHeader = True, separateRows = False,prefix = '| ', postfix = ' |', justify = 'right',
                                   delim = ' | ', wrapfunc = lambda x: wrap_onspace (x,20) )
    else:
        fieldnames=['Run:Fill','SelectedLS','Recorded','HLTpath(Presc)','L1bit(Presc)','Effective(/ub)']
        filename=toFile
        dumptocsv(fieldnames,sortedresult,filename)