Inheritance diagram for MatrixInjector.MatrixInjector:

Public Member Functions
def	__init__ (self, opt, mode='init', options='')

def	prepare (self, mReader, directories, mode='init')

def	submit (self)

def	upload (self)

def	uploadConf (self, filePath, label, where)
	the info are not in the task specific dict but in the general dict t_input.update(copy.deepcopy(self.defaultHarvest)) t_input['DQMConfigCacheID']=t_second['ConfigCacheID'] More...

Public Attributes
	batchName

	batchTime

	chainDicts

	couch

	couchCache

	count

	DbsUrl

	defaultChain

	defaultHarvest

	defaultInput

	defaultScratch

	defaultTask

	dqmgui

	group

	keep

	label

	memoryOffset

	memPerCore

	speciallabel

	testMode

	user

	version

	wmagent

Detailed Description

Definition at line 37 of file MatrixInjector.py.

Constructor & Destructor Documentation

def MatrixInjector.MatrixInjector.__init__	(	self,
		opt,
		mode = `'init'`,
		options = `''`
	)

Definition at line 39 of file MatrixInjector.py.

     def __init__(self,opt,mode='init',options=''):
         self.count=1040
 
         self.dqmgui=None
         self.wmagent=None
         for k in options.split(','):
             if k.startswith('dqm:'):
                 self.dqmgui=k.split(':',1)[-1]
             elif k.startswith('wma:'):
                 self.wmagent=k.split(':',1)[-1]
 
         self.testMode=((mode!='submit') and (mode!='force'))
         self.version =1
         self.keep = opt.keep
         self.memoryOffset = opt.memoryOffset
         self.memPerCore = opt.memPerCore
         self.batchName = ''
         self.batchTime = str(int(time.time()))
         if(opt.batchName):
             self.batchName = '__'+opt.batchName+'-'+self.batchTime
 
         #wagemt stuff
         if not self.wmagent:
             self.wmagent=os.getenv('WMAGENT_REQMGR')
         if not self.wmagent:
             if not opt.testbed :
                 self.wmagent = 'cmsweb.cern.ch'
                 self.DbsUrl = "https://"+self.wmagent+"/dbs/prod/global/DBSReader"
             else :
                 self.wmagent = 'cmsweb-testbed.cern.ch'
                 self.DbsUrl = "https://"+self.wmagent+"/dbs/int/global/DBSReader"
 
         if not self.dqmgui:
             self.dqmgui="https://cmsweb.cern.ch/dqm/relval"
         #couch stuff
         self.couch = 'https://'+self.wmagent+'/couchdb'
 #        self.couchDB = 'reqmgr_config_cache'
         self.couchCache={} # so that we do not upload like crazy, and recyle cfgs
         self.user = os.getenv('USER')
         self.group = 'ppd'
         self.label = 'RelValSet_'+os.getenv('CMSSW_VERSION').replace('-','')+'_v'+str(self.version)
         self.speciallabel=''
         if opt.label:
             self.speciallabel= '_'+opt.label
 
 
         if not os.getenv('WMCORE_ROOT'):
             print '\n\twmclient is not setup properly. Will not be able to upload or submit requests.\n'
             if not self.testMode:
                 print '\n\t QUIT\n'
                 sys.exit(-18)
         else:
             print '\n\tFound wmclient\n'
             
         self.defaultChain={
             "RequestType" :    "TaskChain",                    #this is how we handle relvals
             "SubRequestType" : "RelVal",                       #this is how we handle relvals, now that TaskChain is also used for central MC production
             "RequestPriority": 500000,
             "Requestor": self.user,                           #Person responsible
             "Group": self.group,                              #group for the request
             "CMSSWVersion": os.getenv('CMSSW_VERSION'),       #CMSSW Version (used for all tasks in chain)
             "Campaign": os.getenv('CMSSW_VERSION'),           # = AcquisitionEra, will be reset later to the one of first task, will both be the CMSSW_VERSION
             "ScramArch": os.getenv('SCRAM_ARCH'),             #Scram Arch (used for all tasks in chain)
             "ProcessingVersion": self.version,                #Processing Version (used for all tasks in chain)
             "GlobalTag": None,                                #Global Tag (overridden per task)
             "ConfigCacheUrl": self.couch,                     #URL of CouchDB containing Config Cache
             "DbsUrl": self.DbsUrl,
             #- Will contain all configs for all Tasks
             #"SiteWhitelist" : ["T2_CH_CERN", "T1_US_FNAL"],   #Site whitelist
             "TaskChain" : None,                                  #Define number of tasks in chain.
             "nowmTasklist" : [],  #a list of tasks as we put them in
             "Multicore" : 1,   # do not set multicore for the whole chain
             "Memory" : 3000,
             "SizePerEvent" : 1234,
             "TimePerEvent" : 0.1,
             "PrepID": os.getenv('CMSSW_VERSION')
             }
 
         self.defaultHarvest={
             "EnableHarvesting" : "True",
             "DQMUploadUrl" : self.dqmgui,
             "DQMConfigCacheID" : None,
             "Multicore" : 1              # hardcode Multicore to be 1 for Harvest
             }
         
         self.defaultScratch={
             "TaskName" : None,                            #Task Name
             "ConfigCacheID" : None,                   #Generator Config id
             "GlobalTag": None,
             "SplittingAlgo"  : "EventBased",             #Splitting Algorithm
             "EventsPerJob" : None,                       #Size of jobs in terms of splitting algorithm
             "RequestNumEvents" : None,                      #Total number of events to generate
             "Seeding" : "AutomaticSeeding",                          #Random seeding method
             "PrimaryDataset" : None,                          #Primary Dataset to be created
             "nowmIO": {},
             "Multicore" : opt.nThreads,                  # this is the per-taskchain Multicore; it's the default assigned to a task if it has no value specified 
             "KeepOutput" : False
             }
         self.defaultInput={
             "TaskName" : "DigiHLT",                                      #Task Name
             "ConfigCacheID" : None,                                      #Processing Config id
             "GlobalTag": None,
             "InputDataset" : None,                                       #Input Dataset to be processed
             "SplittingAlgo"  : "LumiBased",                        #Splitting Algorithm
             "LumisPerJob" : 10,               #Size of jobs in terms of splitting algorithm
             "nowmIO": {},
             "Multicore" : opt.nThreads,                       # this is the per-taskchain Multicore; it's the default assigned to a task if it has no value specified 
             "KeepOutput" : False
             }
         self.defaultTask={
             "TaskName" : None,                                 #Task Name
             "InputTask" : None,                                #Input Task Name (Task Name field of a previous Task entry)
             "InputFromOutputModule" : None,                    #OutputModule name in the input task that will provide files to process
             "ConfigCacheID" : None,                            #Processing Config id
             "GlobalTag": None,
             "SplittingAlgo"  : "LumiBased",                        #Splitting Algorithm
             "LumisPerJob" : 10,               #Size of jobs in terms of splitting algorithm
             "nowmIO": {},
             "Multicore" : opt.nThreads,                       # this is the per-taskchain Multicore; it's the default assigned to a task if it has no value specified 
             "KeepOutput" : False
             }
 
         self.chainDicts={}
 
 

Member Function Documentation

def MatrixInjector.MatrixInjector.prepare	(	self,
		mReader,
		directories,
		mode = `'init'`
	)

Definition at line 164 of file MatrixInjector.py.

     def prepare(self,mReader, directories, mode='init'):
         try:
             #from Configuration.PyReleaseValidation.relval_steps import wmsplit
             wmsplit = {}
             wmsplit['DIGIHI']=5
             wmsplit['RECOHI']=5
             wmsplit['HLTD']=5
             wmsplit['RECODreHLT']=2  
             wmsplit['DIGIPU']=4
             wmsplit['DIGIPU1']=4
             wmsplit['RECOPU1']=1
             wmsplit['DIGIUP15_PU50']=1
             wmsplit['RECOUP15_PU50']=1
             wmsplit['DIGIUP15_PU25']=1
             wmsplit['RECOUP15_PU25']=1
             wmsplit['DIGIUP15_PU25HS']=1
             wmsplit['RECOUP15_PU25HS']=1
             wmsplit['DIGIHIMIX']=5
             wmsplit['RECOHIMIX']=5
             wmsplit['RECODSplit']=1
             wmsplit['SingleMuPt10_UP15_ID']=1
             wmsplit['DIGIUP15_ID']=1
             wmsplit['RECOUP15_ID']=1
             wmsplit['TTbar_13_ID']=1
             wmsplit['SingleMuPt10FS_ID']=1
             wmsplit['TTbarFS_ID']=1
             wmsplit['RECODR2_50nsreHLT']=5
             wmsplit['RECODR2_25nsreHLT']=5
             wmsplit['RECODR2_2016reHLT']=5
             wmsplit['RECODR2_50nsreHLT_HIPM']=5
             wmsplit['RECODR2_25nsreHLT_HIPM']=5
             wmsplit['RECODR2_2016reHLT_HIPM']=1
             wmsplit['RECODR2_2016reHLT_skimSingleMu']=1
             wmsplit['RECODR2_2016reHLT_skimDoubleEG']=1
             wmsplit['RECODR2_2016reHLT_skimMuonEG']=1
             wmsplit['RECODR2_2016reHLT_skimJetHT']=1
             wmsplit['RECODR2_2016reHLT_skimMET']=1
             wmsplit['RECODR2_2016reHLT_skimSinglePh']=1
             wmsplit['RECODR2_2016reHLT_skimMuOnia']=1
             wmsplit['RECODR2_2016reHLT_skimSingleMu_HIPM']=1
             wmsplit['RECODR2_2016reHLT_skimDoubleEG_HIPM']=1
             wmsplit['RECODR2_2016reHLT_skimMuonEG_HIPM']=1
             wmsplit['RECODR2_2016reHLT_skimJetHT_HIPM']=1
             wmsplit['RECODR2_2016reHLT_skimMET_HIPM']=1
             wmsplit['RECODR2_2016reHLT_skimSinglePh_HIPM']=1
             wmsplit['RECODR2_2016reHLT_skimMuOnia_HIPM']=1
             wmsplit['RECODR2_2017reHLT_Prompt']=1
             wmsplit['RECODR2_2017reHLT_skimSingleMu_Prompt_Lumi']=1
             wmsplit['RECODR2_2017reHLT_skimDoubleEG_Prompt']=1
             wmsplit['RECODR2_2017reHLT_skimMET_Prompt']=1
             wmsplit['RECODR2_2017reHLT_skimMuOnia_Prompt']=1
             wmsplit['HLTDR2_50ns']=1
             wmsplit['HLTDR2_25ns']=1
             wmsplit['HLTDR2_2016']=1
             wmsplit['HLTDR2_2017']=1
             wmsplit['Hadronizer']=1
             wmsplit['DIGIUP15']=1 
             wmsplit['RECOUP15']=1 
             wmsplit['RECOAODUP15']=5
             wmsplit['DBLMINIAODMCUP15NODQM']=5
             wmsplit['DigiFull']=5
             wmsplit['RecoFull']=5
             wmsplit['DigiFullPU']=1
             wmsplit['RecoFullPU']=1
             wmsplit['RECOHID11']=1
             wmsplit['DigiFullTriggerPU_2023D17PU'] = 1 
             wmsplit['RecoFullGlobalPU_2023D17PU']=1
             wmsplit['DIGIUP17']=1
             wmsplit['RECOUP17']=1
             wmsplit['DIGIUP17_PU25']=1
             wmsplit['RECOUP17_PU25']=1
             wmsplit['DIGICOS_UP17']=1
             wmsplit['RECOCOS_UP17']=1
 
                                     
             #import pprint
             #pprint.pprint(wmsplit)            
         except:
             print "Not set up for step splitting"
             wmsplit={}
 
         acqEra=False
         for (n,dir) in directories.items():
             chainDict=copy.deepcopy(self.defaultChain)
             print "inspecting",dir
             nextHasDSInput=None
             for (x,s) in mReader.workFlowSteps.items():
                 #x has the format (num, prefix)
                 #s has the format (num, name, commands, stepList)
                 if x[0]==n:
                     #print "found",n,s[3]
                     #chainDict['RequestString']='RV'+chainDict['CMSSWVersion']+s[1].split('+')[0]
                     index=0
                     splitForThisWf=None
                     thisLabel=self.speciallabel
                     #if 'HARVESTGEN' in s[3]:
                     if len( [step for step in s[3] if "HARVESTGEN" in step] )>0:
                         chainDict['TimePerEvent']=0.01
                         thisLabel=thisLabel+"_gen"
                     # for double miniAOD test
                     if len( [step for step in s[3] if "DBLMINIAODMCUP15NODQM" in step] )>0:
                         thisLabel=thisLabel+"_dblMiniAOD"
                     processStrPrefix=''
                     setPrimaryDs=None
                     nanoedmGT=''
                     for step in s[3]:
                         
                         if 'INPUT' in step or (not isinstance(s[2][index],str)):
                             nextHasDSInput=s[2][index]
 
                         else:
 
                             if (index==0):
                                 #first step and not input -> gen part
                                 chainDict['nowmTasklist'].append(copy.deepcopy(self.defaultScratch))
                                 try:
                                     chainDict['nowmTasklist'][-1]['nowmIO']=json.loads(open('%s/%s.io'%(dir,step)).read())
                                 except:
                                     print "Failed to find",'%s/%s.io'%(dir,step),".The workflows were probably not run on cfg not created"
                                     return -15
 
                                 chainDict['nowmTasklist'][-1]['PrimaryDataset']='RelVal'+s[1].split('+')[0]
                                 if not '--relval' in s[2][index]:
                                     print 'Impossible to create task from scratch without splitting information with --relval'
                                     return -12
                                 else:
                                     arg=s[2][index].split()
                                     ns=map(int,arg[arg.index('--relval')+1].split(','))
                                     chainDict['nowmTasklist'][-1]['RequestNumEvents'] = ns[0]
                                     chainDict['nowmTasklist'][-1]['EventsPerJob'] = ns[1]
                                 if 'FASTSIM' in s[2][index] or '--fast' in s[2][index]:
                                     thisLabel+='_FastSim'
                                 if 'lhe' in s[2][index] in s[2][index]:
                                     chainDict['nowmTasklist'][-1]['LheInputFiles'] =True
 
                             elif nextHasDSInput:
                                 chainDict['nowmTasklist'].append(copy.deepcopy(self.defaultInput))
                                 try:
                                     chainDict['nowmTasklist'][-1]['nowmIO']=json.loads(open('%s/%s.io'%(dir,step)).read())
                                 except:
                                     print "Failed to find",'%s/%s.io'%(dir,step),".The workflows were probably not run on cfg not created"
                                     return -15
                                 chainDict['nowmTasklist'][-1]['InputDataset']=nextHasDSInput.dataSet
                                 splitForThisWf=nextHasDSInput.split
                                 chainDict['nowmTasklist'][-1]['LumisPerJob']=splitForThisWf
                                 if step in wmsplit:
                                     chainDict['nowmTasklist'][-1]['LumisPerJob']=wmsplit[step]
                                 # get the run numbers or #events
                                 if len(nextHasDSInput.run):
                                     chainDict['nowmTasklist'][-1]['RunWhitelist']=nextHasDSInput.run
                                 if len(nextHasDSInput.ls):
                                     chainDict['nowmTasklist'][-1]['LumiList']=nextHasDSInput.ls
                                 #print "what is s",s[2][index]
                                 if '--data' in s[2][index] and nextHasDSInput.label:
                                     thisLabel+='_RelVal_%s'%nextHasDSInput.label
                                 if 'filter' in chainDict['nowmTasklist'][-1]['nowmIO']:
                                     print "This has an input DS and a filter sequence: very likely to be the PyQuen sample"
                                     processStrPrefix='PU_'
                                     setPrimaryDs = 'RelVal'+s[1].split('+')[0]
                                     if setPrimaryDs:
                                         chainDict['nowmTasklist'][-1]['PrimaryDataset']=setPrimaryDs
                                 nextHasDSInput=None
                             else:
                                 #not first step and no inputDS
                                 chainDict['nowmTasklist'].append(copy.deepcopy(self.defaultTask))
                                 try:
                                     chainDict['nowmTasklist'][-1]['nowmIO']=json.loads(open('%s/%s.io'%(dir,step)).read())
                                 except:
                                     print "Failed to find",'%s/%s.io'%(dir,step),".The workflows were probably not run on cfg not created"
                                     return -15
                                 if splitForThisWf:
                                     chainDict['nowmTasklist'][-1]['LumisPerJob']=splitForThisWf
                                 if step in wmsplit:
                                     chainDict['nowmTasklist'][-1]['LumisPerJob']=wmsplit[step]
 
                             # change LumisPerJob for Hadronizer steps. 
                             if 'Hadronizer' in step: 
                                 chainDict['nowmTasklist'][-1]['LumisPerJob']=wmsplit['Hadronizer']
 
                             #print step
                             chainDict['nowmTasklist'][-1]['TaskName']=step
                             if setPrimaryDs:
                                 chainDict['nowmTasklist'][-1]['PrimaryDataset']=setPrimaryDs
                             chainDict['nowmTasklist'][-1]['ConfigCacheID']='%s/%s.py'%(dir,step)
                             chainDict['nowmTasklist'][-1]['GlobalTag']=chainDict['nowmTasklist'][-1]['nowmIO']['GT'] # copy to the proper parameter name
                             chainDict['GlobalTag']=chainDict['nowmTasklist'][-1]['nowmIO']['GT'] #set in general to the last one of the chain
                             if 'NANOEDM' in step :
                                 nanoedmGT = chainDict['nowmTasklist'][-1]['nowmIO']['GT']
                             if 'NANOMERGE' in step :
                                 chainDict['GlobalTag'] = nanoedmGT
                             if 'pileup' in chainDict['nowmTasklist'][-1]['nowmIO']:
                                 chainDict['nowmTasklist'][-1]['MCPileup']=chainDict['nowmTasklist'][-1]['nowmIO']['pileup']
                             if '--pileup ' in s[2][index]:      # catch --pileup (scenarion) and not --pileup_ (dataset to be mixed) => works also making PRE-MIXed dataset
                                 processStrPrefix='PU_'          # take care of pu overlay done with GEN-SIM mixing
                                 if (  s[2][index].split()[  s[2][index].split().index('--pileup')+1 ]  ).find('25ns')  > 0 :
                                     processStrPrefix='PU25ns_'
                                 elif   (  s[2][index].split()[  s[2][index].split().index('--pileup')+1 ]  ).find('50ns')  > 0 :
                                     processStrPrefix='PU50ns_'
                             if 'DIGIPREMIX_S2' in s[2][index] : # take care of pu overlay done with DIGI mixing of premixed events
                                 if s[2][index].split()[ s[2][index].split().index('--pileup_input')+1  ].find('25ns')  > 0 :
                                     processStrPrefix='PUpmx25ns_'
                                 elif s[2][index].split()[ s[2][index].split().index('--pileup_input')+1  ].find('50ns')  > 0 :
                                     processStrPrefix='PUpmx50ns_'
 
                             if acqEra:
                                 #chainDict['AcquisitionEra'][step]=(chainDict['CMSSWVersion']+'-PU_'+chainDict['nowmTasklist'][-1]['GlobalTag']).replace('::All','')+thisLabel
                                 chainDict['AcquisitionEra'][step]=chainDict['CMSSWVersion']
                                 chainDict['ProcessingString'][step]=processStrPrefix+chainDict['nowmTasklist'][-1]['GlobalTag'].replace('::All','').replace('-','_')+thisLabel
                                 if 'NANOMERGE' in step :
                                     chainDict['ProcessingString'][step]=processStrPrefix+nanoedmGT.replace('::All','').replace('-','_')+thisLabel
                             else:
                                 #chainDict['nowmTasklist'][-1]['AcquisitionEra']=(chainDict['CMSSWVersion']+'-PU_'+chainDict['nowmTasklist'][-1]['GlobalTag']).replace('::All','')+thisLabel
                                 chainDict['nowmTasklist'][-1]['AcquisitionEra']=chainDict['CMSSWVersion']
                                 chainDict['nowmTasklist'][-1]['ProcessingString']=processStrPrefix+chainDict['nowmTasklist'][-1]['GlobalTag'].replace('::All','').replace('-','_')+thisLabel
                                 if 'NANOMERGE' in step :
                                     chainDict['nowmTasklist'][-1]['ProcessingString']=processStrPrefix+nanoedmGT.replace('::All','').replace('-','_')+thisLabel
 
                             if (self.batchName):
                                 chainDict['nowmTasklist'][-1]['Campaign'] = chainDict['nowmTasklist'][-1]['AcquisitionEra']+self.batchName
 
                             # specify different ProcessingString for double miniAOD dataset
                             if ('DBLMINIAODMCUP15NODQM' in step): 
                                 chainDict['nowmTasklist'][-1]['ProcessingString']=chainDict['nowmTasklist'][-1]['ProcessingString']+'_miniAOD' 
 
                             if( chainDict['nowmTasklist'][-1]['Multicore'] ):
                                 # the scaling factor of 1.2GB / thread is empirical and measured on a SECOND round of tests with PU samples
                                 # the number of threads is NO LONGER assumed to be the same for all tasks
                                 # https://hypernews.cern.ch/HyperNews/CMS/get/edmFramework/3509/1/1/1.html
                                 # now change to 1.5GB / additional thread according to discussion:
                                 # https://hypernews.cern.ch/HyperNews/CMS/get/relval/4817/1/1.html
 #                                chainDict['nowmTasklist'][-1]['Memory'] = 3000 + int( chainDict['nowmTasklist'][-1]['Multicore']  -1 )*1500
                                 chainDict['nowmTasklist'][-1]['Memory'] = self.memoryOffset + int( chainDict['nowmTasklist'][-1]['Multicore']  -1 ) * self.memPerCore
 
                         index+=1
                     #end of loop through steps
                     chainDict['RequestString']='RV'+chainDict['CMSSWVersion']+s[1].split('+')[0]
                     if processStrPrefix or thisLabel:
                         chainDict['RequestString']+='_'+processStrPrefix+thisLabel
 

def MatrixInjector.MatrixInjector.submit ( self )

Definition at line 538 of file MatrixInjector.py.

References MatrixInjector.MatrixInjector.testMode, and MatrixInjector.MatrixInjector.wmagent.

     def submit(self):
         try:
             from modules.wma import makeRequest,approveRequest
             from wmcontrol import random_sleep
             print '\n\tFound wmcontrol\n'
         except:
             print '\n\tUnable to find wmcontrol modules. Please include it in your python path\n'
             if not self.testMode:
                 print '\n\t QUIT\n'
                 sys.exit(-17)
 
         import pprint
         for (n,d) in self.chainDicts.items():
             if self.testMode:
                 print "Only viewing request",n
                 print pprint.pprint(d)
             else:
                 #submit to wmagent each dict
                 print "For eyes before submitting",n
                 print pprint.pprint(d)
                 print "Submitting",n,"..........."
                 workFlow=makeRequest(self.wmagent,d,encodeDict=True)
                 print "...........",n,"submitted"
                 random_sleep()
             
 
         

def MatrixInjector.MatrixInjector.upload ( self )

Definition at line 518 of file MatrixInjector.py.

References harvestTrackValidationPlots.str, and MatrixInjector.MatrixInjector.uploadConf().

     def upload(self):
         for (n,d) in self.chainDicts.items():
             for it in d:
                 if it.startswith("Task") and it!='TaskChain':
                     #upload
                     couchID=self.uploadConf(d[it]['ConfigCacheID'],
                                             str(n)+d[it]['TaskName'],
                                             d['ConfigCacheUrl']
                                             )
                     print d[it]['ConfigCacheID']," uploaded to couchDB for",str(n),"with ID",couchID
                     d[it]['ConfigCacheID']=couchID
                 if it =='DQMConfigCacheID':
                     couchID=self.uploadConf(d['DQMConfigCacheID'],
                                             str(n)+'harvesting',
                                             d['ConfigCacheUrl']
                                             )
                     print d['DQMConfigCacheID'],"uploaded to couchDB for",str(n),"with ID",couchID
                     d['DQMConfigCacheID']=couchID
                         
             

def MatrixInjector.MatrixInjector.uploadConf	(	self,
		filePath,
		label,
		where
	)

the info are not in the task specific dict but in the general dict t_input.update(copy.deepcopy(self.defaultHarvest)) t_input['DQMConfigCacheID']=t_second['ConfigCacheID']

batch name appended to Campaign name chainDict['Campaign'] = chainDict['AcquisitionEra'] clean things up now provide the number of tasks

Definition at line 491 of file MatrixInjector.py.

References MatrixInjector.MatrixInjector.couchCache, TmCcu.count, TmModule.count, TmApvPair.count, TmPsu.count, MatrixInjector.MatrixInjector.count, ValidationMisalignedTracker.count, SiStripDetSummary::Values.count, MatrixInjector.MatrixInjector.group, ElectronLikelihoodCategoryData.label, classes.PlotData.label, entry< T >.label, SiPixelFedFillerWordEventNumber.label, HcalLutSet.label, TtEvent::HypoClassKeyStringToEnum.label, L1GtBoardTypeStringToEnum.label, L1GtPsbQuadStringToEnum.label, MatrixInjector.MatrixInjector.label, ValidationMisalignedTracker.label, L1GtConditionTypeStringToEnum.label, cond::payloadInspector::ModuleVersion.label, L1GtConditionCategoryStringToEnum.label, PhysicsTools::Calibration::Comparator.label, MatrixInjector.MatrixInjector.testMode, EcalTPGParamReaderFromDB.user, popcon::RpcDataV.user, popcon::RPCObPVSSmapData.user, popcon::RpcDataT.user, popcon::RpcObGasData.user, popcon::RpcDataFebmap.user, popcon::RpcDataI.user, popcon::RpcDataS.user, popcon::RpcDataGasMix.user, popcon::RpcDataUXC.user, and MatrixInjector.MatrixInjector.user.

Referenced by MatrixInjector.MatrixInjector.upload().

     def uploadConf(self,filePath,label,where):
         labelInCouch=self.label+'_'+label
         cacheName=filePath.split('/')[-1]
         if self.testMode:
             self.count+=1
             print '\tFake upload of',filePath,'to couch with label',labelInCouch
             return self.count
         else:
             try:
                 from modules.wma import upload_to_couch,DATABASE_NAME
             except:
                 print '\n\tUnable to find wmcontrol modules. Please include it in your python path\n'
                 print '\n\t QUIT\n'
                 sys.exit(-16)
 
             if cacheName in self.couchCache:
                 print "Not re-uploading",filePath,"to",where,"for",label
                 cacheId=self.couchCache[cacheName]
             else:
                 print "Loading",filePath,"to",where,"for",label
                 ## totally fork the upload to couch to prevent cross loading of process configurations
                 pool = multiprocessing.Pool(1)
                 cacheIds = pool.map( upload_to_couch_oneArg, [(filePath,labelInCouch,self.user,self.group,where)] )
                 cacheId = cacheIds[0]
                 self.couchCache[cacheName]=cacheId
             return cacheId
     