config.JobType.priority = dataset.priority
config.Data.inputDBS = dataset.inputDBS
label = dataset.label
# MC specific settings:
if not isData:
pyCfgParams.append('data=0')
# Data specific settings:
if isData:
pyCfgParams.append('data=1')
config.Data.lumiMask = 'http://cms-service-dqm.web.cern.ch/cms-service-dqm/CAF/certification/Collisions15/13TeV/Cert_246908-260627_13TeV_PromptReco_Collisions15_25ns_JSON_v2.txt'
#pyCfgParams.append('steps=analyze') # Only run analyze step on data (Applicable if datasets has been skimmed already)
# Label specific settings
pyCfgParams.append('sample=' + label)
# Use this turn of different steps
# pyCfgParams.append('steps=skim')
# pyCfgParams.append('steps=analyze')
config.JobType.pyCfgParams = pyCfgParams
if not dryrun:
res = submit_newthread(config, dryrun=dryrun)
taskId = res['uniquerequestname'].split(':')[0]
filePath = '%s%s/%s/%s/' % (config.Data.outLFNDirBase,
config.Data.inputDataset.split('/')[1],
config.Data.outputDatasetTag, taskId)
print 'filePath:'
print filePath
tasklistFile.write(filePath)
tasklistFile.write('\n')
if not dryrun: tasklistFile.close()
config.JobType.priority = dataset.priority
config.Data.inputDBS = dataset.inputDBS
label = dataset.label
doHLT = dataset.doHLT
doJetFilter = dataset.doJetFilter
# MC specific settings:
if not isData:
pyCfgParams.append('data=0')
# Data specific settings:
if isData:
pyCfgParams.append('data=1')
config.Data.lumiMask = 'https://cms-service-dqm.web.cern.ch/cms-service-dqm/CAF/certification/Collisions16/13TeV/ReReco/Final/Cert_271036-284044_13TeV_23Sep2016ReReco_Collisions16_JSON.txt'
pyCfgParams.append('steps=skim,analyze')
# Label specific settings
pyCfgParams.append('sample='+label)
pyCfgParams.append('doHLT=%d' % doHLT)
pyCfgParams.append('doJetFilter=%d' % doJetFilter)
config.JobType.pyCfgParams = pyCfgParams
if not dryrun:
res = submit_newthread(config, dryrun=dryrun)
taskId = res['uniquerequestname'].split(':')[0]
filePath = '%s%s/%s/%s/' % ( config.Data.outLFNDirBase, config.Data.inputDataset.split('/')[1], config.Data.outputDatasetTag, taskId )
print 'filePath:'
print filePath
tasklistFile.write(filePath)
tasklistFile.write('\n')
if not dryrun: tasklistFile.close()
isData = dataset.isData
config.Data.splitting = dataset.splitting
config.JobType.priority = dataset.priority
config.Data.inputDBS = dataset.inputDBS
label = dataset.label
# MC specific settings:
if not isData:
pyCfgParams.append('data=0')
# Data specific settings:
if isData:
pyCfgParams.append('data=1')
config.Data.lumiMask = 'https://cms-service-dqm.web.cern.ch/cms-service-dqm/CAF/certification/Collisions15/13TeV/Cert_246908-260627_13TeV_PromptReco_Collisions15_25ns_JSON_v2.txt'
# Label specific settings
pyCfgParams.append('sample='+label)
# Use this turn of different steps
# pyCfgParams.append('steps=skim')
# pyCfgParams.append('steps=analyze')
config.JobType.pyCfgParams = pyCfgParams
if not dryrun:
res = submit_newthread(config)
taskId = res['uniquerequestname'].split(':')[0]
filePath = '%s%s/%s/%s/' % ( config.Data.outLFNDirBase, config.Data.inputDataset.split('/')[1], config.Data.outputDatasetTag, taskId )
print 'filePath:'
print filePath
tasklistFile.write(filePath)
tasklistFile.write('\n')
if not dryrun: tasklistFile.close()
config.Data.splitting = dataset.splitting
config.JobType.priority = dataset.priority
config.Data.inputDBS = dataset.inputDBS
label = dataset.label
# MC specific settings:
if not isData:
pyCfgParams.append('data=0')
# Data specific settings:
if isData:
pyCfgParams.append('data=1')
config.Data.lumiMask = 'https://cms-service-dqm.web.cern.ch/cms-service-dqm/CAF/certification/Collisions15/13TeV/Cert_246908-260627_13TeV_PromptReco_Collisions15_25ns_JSON_v2.txt'
# Label specific settings
pyCfgParams.append('sample=' + label)
# Use this turn of different steps
# pyCfgParams.append('steps=skim')
# pyCfgParams.append('steps=analyze')
config.JobType.pyCfgParams = pyCfgParams
if not dryrun:
res = submit_newthread(config)
taskId = res['uniquerequestname'].split(':')[0]
filePath = '%s%s/%s/%s/' % (config.Data.outLFNDirBase,
config.Data.inputDataset.split('/')[1],
config.Data.outputDatasetTag, taskId)
print 'filePath:'
print filePath
tasklistFile.write(filePath)
tasklistFile.write('\n')
if not dryrun: tasklistFile.close()
