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import sys
import json
import os
import copy
import multiprocessing
import time
import re
MAXWORKFLOWLENGTH = 81
def performInjectionOptionTest(opt):
if opt.show:
print('Not injecting to wmagent in --show mode. Need to run the worklfows.')
sys.exit(-1)
if opt.wmcontrol=='init':
#init means it'll be in test mode
opt.nProcs=0
if opt.wmcontrol=='test':
#means the wf were created already, and we just dryRun it.
opt.dryRun=True
if opt.wmcontrol=='submit' and opt.nProcs==0:
print('Not injecting to wmagent in -j 0 mode. Need to run the worklfows.')
sys.exit(-1)
if opt.wmcontrol=='force':
print("This is an expert setting, you'd better know what you're doing")
opt.dryRun=True
def upload_to_couch_oneArg(arguments):
from modules.wma import upload_to_couch
(filePath,labelInCouch,user,group,where) = arguments
cacheId=upload_to_couch(filePath,
labelInCouch,
user,
group,
test_mode=False,
url=where)
return cacheId
class MatrixInjector(object):
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.numberEventsInLuminosityBlock = opt.numberEventsInLuminosityBlock
self.numberOfStreams = 0
if(opt.nStreams>0):
self.numberOfStreams = opt.nStreams
self.batchName = ''
self.batchTime = str(int(time.time()))
if(opt.batchName):
self.batchName = '__'+opt.batchName+'-'+self.batchTime
####################################
# Checking and setting up GPU attributes
####################################
# Mendatory
self.RequiresGPU = opt.gpu
self.GPUMemoryMB = opt.GPUMemoryMB
self.CUDACapabilities = opt.CUDACapabilities
self.CUDARuntime = opt.CUDARuntime
# optional
self.GPUName = opt.GPUName
self.CUDADriverVersion = opt.CUDADriverVersion
self.CUDARuntimeVersion = opt.CUDARuntimeVersion
# WMagent url
if not self.wmagent:
# Overwrite with env variable
self.wmagent = os.getenv('WMAGENT_REQMGR')
if not self.wmagent:
# Default values
if not opt.testbed:
self.wmagent = 'cmsweb.cern.ch'
else:
self.wmagent = 'cmsweb-testbed.cern.ch'
# DBSReader url
if opt.dbsUrl is not None:
self.DbsUrl = opt.dbsUrl
elif os.getenv('CMS_DBSREADER_URL') is not None:
self.DbsUrl = os.getenv('CMS_DBSREADER_URL')
else:
# Default values
if not opt.testbed:
self.DbsUrl = "https://cmsweb-prod.cern.ch/dbs/prod/global/DBSReader"
else:
self.DbsUrl = "https://cmsweb-testbed.cern.ch/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
self.longWFName = []
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" : 10,
"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
"EventsPerLumi" : None,
"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
"EventStreams": self.numberOfStreams,
"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
"EventStreams": self.numberOfStreams,
"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
"EventStreams": self.numberOfStreams,
"KeepOutput" : False,
"RequiresGPU" : None,
"GPUParams": None
}
self.defaultGPUParams={
"GPUMemoryMB": self.GPUMemoryMB,
"CUDACapabilities": self.CUDACapabilities,
"CUDARuntime": self.CUDARuntime
}
if self.GPUName: self.defaultGPUParams.update({"GPUName": self.GPUName})
if self.CUDADriverVersion: self.defaultGPUParams.update({"CUDADriverVersion": self.CUDADriverVersion})
if self.CUDARuntimeVersion: self.defaultGPUParams.update({"CUDARuntimeVersion": self.CUDARuntimeVersion})
self.chainDicts={}
@staticmethod
def get_wmsplit():
"""
Return a "wmsplit" dictionary that contain non-default LumisPerJob values
"""
wmsplit = {}
try:
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['RECODR2_2017reHLT_Prompt_L1TEgDQM'] = 1
wmsplit['RECODR2_2018reHLT_Prompt'] = 1
wmsplit['RECODR2_2018reHLT_skimSingleMu_Prompt_Lumi'] = 1
wmsplit['RECODR2_2018reHLT_skimDoubleEG_Prompt'] = 1
wmsplit['RECODR2_2018reHLT_skimJetHT_Prompt'] = 1
wmsplit['RECODR2_2018reHLT_skimMET_Prompt'] = 1
wmsplit['RECODR2_2018reHLT_skimMuOnia_Prompt'] = 1
wmsplit['RECODR2_2018reHLT_skimEGamma_Prompt_L1TEgDQM'] = 1
wmsplit['RECODR2_2018reHLT_skimMuonEG_Prompt'] = 1
wmsplit['RECODR2_2018reHLT_skimCharmonium_Prompt'] = 1
wmsplit['RECODR2_2018reHLT_skimJetHT_Prompt_HEfail'] = 1
wmsplit['RECODR2_2018reHLT_skimJetHT_Prompt_BadHcalMitig'] = 1
wmsplit['RECODR2_2018reHLTAlCaTkCosmics_Prompt'] = 1
wmsplit['RECODR2_2018reHLT_skimDisplacedJet_Prompt'] = 1
wmsplit['RECODR2_2018reHLT_ZBPrompt'] = 1
wmsplit['RECODR2_2018reHLT_Offline'] = 1
wmsplit['RECODR2_2018reHLT_skimSingleMu_Offline_Lumi'] = 1
wmsplit['RECODR2_2018reHLT_skimDoubleEG_Offline'] = 1
wmsplit['RECODR2_2018reHLT_skimJetHT_Offline'] = 1
wmsplit['RECODR2_2018reHLT_skimMET_Offline'] = 1
wmsplit['RECODR2_2018reHLT_skimMuOnia_Offline'] = 1
wmsplit['RECODR2_2018reHLT_skimEGamma_Offline_L1TEgDQM'] = 1
wmsplit['RECODR2_2018reHLT_skimMuonEG_Offline'] = 1
wmsplit['RECODR2_2018reHLT_skimCharmonium_Offline'] = 1
wmsplit['RECODR2_2018reHLT_skimJetHT_Offline_HEfail'] = 1
wmsplit['RECODR2_2018reHLT_skimJetHT_Offline_BadHcalMitig'] = 1
wmsplit['RECODR2_2018reHLTAlCaTkCosmics_Offline'] = 1
wmsplit['RECODR2_2018reHLT_skimDisplacedJet_Offline'] = 1
wmsplit['RECODR2_2018reHLT_ZBOffline'] = 1
wmsplit['HLTDR2_50ns'] = 1
wmsplit['HLTDR2_25ns'] = 1
wmsplit['HLTDR2_2016'] = 1
wmsplit['HLTDR2_2017'] = 1
wmsplit['HLTDR2_2018'] = 1
wmsplit['HLTDR2_2018_BadHcalMitig'] = 1
wmsplit['Hadronizer'] = 1
wmsplit['DIGIUP15'] = 1
wmsplit['RECOUP15'] = 1
wmsplit['RECOAODUP15'] = 5
wmsplit['DBLMINIAODMCUP15NODQM'] = 5
wmsplit['Digi'] = 5
wmsplit['Reco'] = 5
wmsplit['DigiPU'] = 1
wmsplit['RecoPU'] = 1
wmsplit['RECOHID11'] = 1
wmsplit['DIGIUP17'] = 1
wmsplit['RECOUP17'] = 1
wmsplit['DIGIUP17_PU25'] = 1
wmsplit['RECOUP17_PU25'] = 1
wmsplit['DIGICOS_UP16'] = 1
wmsplit['RECOCOS_UP16'] = 1
wmsplit['DIGICOS_UP17'] = 1
wmsplit['RECOCOS_UP17'] = 1
wmsplit['DIGICOS_UP18'] = 1
wmsplit['RECOCOS_UP18'] = 1
wmsplit['DIGICOS_UP21'] = 1
wmsplit['RECOCOS_UP21'] = 1
wmsplit['HYBRIDRepackHI2015VR'] = 1
wmsplit['HYBRIDZSHI2015'] = 1
wmsplit['RECOHID15'] = 1
wmsplit['RECOHID18'] = 1
wmsplit['HLTDR3_2023'] = 1
wmsplit['RECONANORUN3_reHLT'] = 1
wmsplit['HARVESTRUN3'] = 1
# automate for phase 2
from .upgradeWorkflowComponents import upgradeKeys
for key in upgradeKeys['Run4']:
if 'PU' not in key:
continue
wmsplit['DigiTriggerPU_' + key] = 1
wmsplit['RecoGlobalPU_' + key] = 1
except Exception as ex:
print('Exception while building a wmsplit dictionary: %s' % (str(ex)))
return {}
return wmsplit
def prepare(self, mReader, directories, mode='init'):
wmsplit = MatrixInjector.get_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=list(map(int,arg[len(arg) - arg[-1::-1].index('--relval')].split(',')))
chainDict['nowmTasklist'][-1]['RequestNumEvents'] = ns[0]
chainDict['nowmTasklist'][-1]['EventsPerJob'] = ns[1]
chainDict['nowmTasklist'][-1]['EventsPerLumi'] = ns[1]
#overwrite EventsPerLumi if numberEventsInLuminosityBlock is set in cmsDriver
if 'numberEventsInLuminosityBlock' in s[2][index]:
nEventsInLuminosityBlock = re.findall('process.source.numberEventsInLuminosityBlock=cms.untracked.uint32\\(([ 0-9 ]*)\\)', s[2][index],re.DOTALL)
if nEventsInLuminosityBlock[-1].isdigit() and int(nEventsInLuminosityBlock[-1]) < ns[1]:
chainDict['nowmTasklist'][-1]['EventsPerLumi'] = int(nEventsInLuminosityBlock[-1])
if(self.numberEventsInLuminosityBlock > 0 and self.numberEventsInLuminosityBlock <= ns[1]):
chainDict['nowmTasklist'][-1]['EventsPerLumi'] = self.numberEventsInLuminosityBlock
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
if ('DQMHLTonRAWAOD' in step) :
chainDict['nowmTasklist'][-1]['IncludeParents']=True
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
if 'GPU' in step and self.RequiresGPU != 'forbidden':
chainDict['nowmTasklist'][-1]['RequiresGPU'] = self.RequiresGPU
chainDict['nowmTasklist'][-1]['GPUParams']=json.dumps(self.defaultGPUParams)
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]
if 'GPU' in step and self.RequiresGPU != 'forbidden':
chainDict['nowmTasklist'][-1]['RequiresGPU'] = self.RequiresGPU
chainDict['nowmTasklist'][-1]['GPUParams']=json.dumps(self.defaultGPUParams)
# 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
pileupString = s[2][index].split()[s[2][index].split().index('--pileup')+1]
processStrPrefix='PU_' # take care of pu overlay done with GEN-SIM mixing
if pileupString.find('25ns') > 0 :
processStrPrefix='PU25ns_'
elif pileupString.find('50ns') > 0 :
processStrPrefix='PU50ns_'
elif 'nopu' in pileupString.lower():
processStrPrefix=''
if 'premix_stage2' in s[2][index] and '--pileup_input' 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
#check candidate WF name
self.candidateWFName = self.user+'_'+chainDict['RequestString']
if (len(self.candidateWFName)>MAXWORKFLOWLENGTH):
self.longWFName.append(self.candidateWFName)
### PrepID
chainDict['PrepID'] = chainDict['CMSSWVersion']+'__'+self.batchTime+'-'+s[1].split('+')[0]
if(self.batchName):
chainDict['PrepID'] = chainDict['CMSSWVersion']+self.batchName+'-'+s[1].split('+')[0]
if( 'HIN' in self.batchName ):
chainDict['SubRequestType'] = "HIRelVal"
#wrap up for this one
import pprint
#print 'wrapping up'
#pprint.pprint(chainDict)
#loop on the task list
for i_second in reversed(range(len(chainDict['nowmTasklist']))):
t_second=chainDict['nowmTasklist'][i_second]
#print "t_second taskname", t_second['TaskName']
if 'primary' in t_second['nowmIO']:
#print t_second['nowmIO']['primary']
primary=t_second['nowmIO']['primary'][0].replace('file:','')
for i_input in reversed(range(0,i_second)):
t_input=chainDict['nowmTasklist'][i_input]
for (om,o) in t_input['nowmIO'].items():
if primary in o:
#print "found",primary,"procuced by",om,"of",t_input['TaskName']
#ad-hoc fix due to restriction in TaskName of 50 characters
if (len(t_input['TaskName'])>50):
if (t_input['TaskName'].find('GenSim') != -1):
t_input['TaskName'] = 'GenSimFull'
if (t_input['TaskName'].find('Hadronizer') != -1):
t_input['TaskName'] = 'HadronizerFull'
t_second['InputTask'] = t_input['TaskName']
t_second['InputFromOutputModule'] = om
#print 't_second',pprint.pformat(t_second)
if t_second['TaskName'].startswith('HARVEST'):
chainDict.update(copy.deepcopy(self.defaultHarvest))
if "_RD" in t_second['TaskName']:
chainDict['DQMHarvestUnit'] = "multiRun"
chainDict['DQMConfigCacheID']=t_second['ConfigCacheID']
## 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']
break
# agreed changes for wm injection:
# - Campaign: *optional* string during creation. It will default to AcqEra value if possible.
# Otherwise it will be empty.
# - AcquisitionEra: *mandatory* string at request level during creation. *optional* string
# at task level during creation. "optional" during assignment.
# - ProcessingString: *mandatory* string at request level during creation. *optional* string
# at task level during creation. "optional" during assignment.
# - ProcessingVersion: *optional* during creation (default 1). *optional* during assignment.
#
# Which requires following changes here:
# - reset Global AcuisitionEra, ProcessingString to be the one in the first task
# - and also Campaign to be always the same as the AcquisitionEra
if acqEra:
chainDict['AcquisitionEra'] = chainDict['AcquisitionEra'].values()[0]
chainDict['ProcessingString'] = chainDict['ProcessingString'].values()[0]
else:
chainDict['AcquisitionEra'] = chainDict['nowmTasklist'][0]['AcquisitionEra']
chainDict['ProcessingString'] = chainDict['nowmTasklist'][0]['ProcessingString']
##### batch name appended to Campaign name
# chainDict['Campaign'] = chainDict['AcquisitionEra']
chainDict['Campaign'] = chainDict['AcquisitionEra']+self.batchName
## clean things up now
itask=0
if self.keep:
for i in self.keep:
if isinstance(i, int) and i < len(chainDict['nowmTasklist']):
chainDict['nowmTasklist'][i]['KeepOutput']=True
for (i,t) in enumerate(chainDict['nowmTasklist']):
if t['TaskName'].startswith('HARVEST'):
continue
if not self.keep:
t['KeepOutput']=True
elif t['TaskName'] in self.keep:
t['KeepOutput']=True
if t['TaskName'].startswith('HYBRIDRepackHI2015VR'):
t['KeepOutput']=False
t.pop('nowmIO')
itask+=1
chainDict['Task%d'%(itask)]=t
##
## provide the number of tasks
chainDict['TaskChain']=itask#len(chainDict['nowmTasklist'])
chainDict.pop('nowmTasklist')
self.chainDicts[n]=chainDict
return 0
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
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 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()
if self.testMode and len(self.longWFName)>0:
print("\n*** WARNING: "+str(len(self.longWFName))+" workflows have too long names for submission (>"+str(MAXWORKFLOWLENGTH)+ "characters) ***")
print('\n'.join(self.longWFName))
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