Python JobSpec.cmtConfig方法代码示例

# 需要导入模块: from taskbuffer.JobSpec import JobSpec [as 别名]
# 或者: from taskbuffer.JobSpec.JobSpec import cmtConfig [as 别名]
    def defineEvgen16Job(self, i):
        """Define an Evgen16 job based on predefined values and randomly generated names
        """

        job = JobSpec()
        job.computingSite = self.__site
        job.cloud = self.__cloud

        job.jobDefinitionID = int(time.time()) % 10000
        job.jobName = "%s_%d" % (uuid.uuid1(), i)
        job.AtlasRelease = 'Atlas-16.6.2'
        job.homepackage = 'AtlasProduction/16.6.2.1'
        job.transformation = 'Evgen_trf.py'
        job.destinationDBlock = self.__datasetName
        job.destinationSE = self.__destName
        job.currentPriority = 10000
        job.prodSourceLabel = 'test'
        job.cmtConfig = 'i686-slc5-gcc43-opt'

        #Output file
        fileO = FileSpec()
        fileO.lfn = "%s.evgen.pool.root" % job.jobName
        fileO.destinationDBlock = job.destinationDBlock
        fileO.destinationSE = job.destinationSE
        fileO.dataset = job.destinationDBlock
        fileO.destinationDBlockToken = 'ATLASDATADISK'
        fileO.type = 'output'
        job.addFile(fileO)

        #Log file
        fileL = FileSpec()
        fileL.lfn = "%s.job.log.tgz" % job.jobName
        fileL.destinationDBlock = job.destinationDBlock
        fileL.destinationSE = job.destinationSE
        fileL.dataset = job.destinationDBlock
        fileL.destinationDBlockToken = 'ATLASDATADISK'
        fileL.type = 'log'
        job.addFile(fileL)

        job.jobParameters = "2760 105048 19901 101 200 MC10.105048.PythiaB_ccmu3mu1X.py %s NONE NONE NONE MC10JobOpts-latest-test.tar.gz" % fileO.lfn
        return job

# 需要导入模块: from taskbuffer.JobSpec import JobSpec [as 别名]
# 或者: from taskbuffer.JobSpec.JobSpec import cmtConfig [as 别名]
    def prepare(self, app, appsubconfig, appmasterconfig, jobmasterconfig):
        """Prepare the specific aspec of each subjob.
           Returns: subjobconfig list of objects understood by backends."""

        from pandatools import Client
        from pandatools import AthenaUtils
        from taskbuffer.JobSpec import JobSpec
        from taskbuffer.FileSpec import FileSpec
        from GangaAtlas.Lib.ATLASDataset.DQ2Dataset import dq2_set_dataset_lifetime
        from GangaPanda.Lib.Panda.Panda import refreshPandaSpecs
        
        # make sure we have the correct siteType
        refreshPandaSpecs()

        job = app._getParent()
        masterjob = job._getRoot()

        logger.debug('ProdTransPandaRTHandler prepare called for %s',
                     job.getFQID('.'))

        job.backend.actualCE = job.backend.site
        job.backend.requirements.cloud = Client.PandaSites[job.backend.site]['cloud']

        # check that the site is in a submit-able status
        if not job.splitter or job.splitter._name != 'DQ2JobSplitter':
            allowed_sites = job.backend.list_ddm_sites()

        try:
            outDsLocation = Client.PandaSites[job.backend.site]['ddm']
            tmpDsExist = False
            if (configPanda['processingType'].startswith('gangarobot') or configPanda['processingType'].startswith('hammercloud')):
                #if Client.getDatasets(job.outputdata.datasetname):
                if getDatasets(job.outputdata.datasetname):
                    tmpDsExist = True
                    logger.info('Re-using output dataset %s'%job.outputdata.datasetname)
            if not configPanda['specialHandling']=='ddm:rucio' and not  configPanda['processingType'].startswith('gangarobot') and not configPanda['processingType'].startswith('hammercloud') and not configPanda['processingType'].startswith('rucio_test'):
                Client.addDataset(job.outputdata.datasetname,False,location=outDsLocation,allowProdDisk=True,dsExist=tmpDsExist)
            logger.info('Output dataset %s registered at %s'%(job.outputdata.datasetname,outDsLocation))
            dq2_set_dataset_lifetime(job.outputdata.datasetname, outDsLocation)
        except exceptions.SystemExit:
            raise BackendError('Panda','Exception in adding dataset %s: %s %s'%(job.outputdata.datasetname,sys.exc_info()[0],sys.exc_info()[1]))
        
        # JobSpec.
        jspec = JobSpec()
        jspec.currentPriority = app.priority
        jspec.jobDefinitionID = masterjob.id
        jspec.jobName = commands.getoutput('uuidgen 2> /dev/null')
        jspec.coreCount = app.core_count
        jspec.AtlasRelease = 'Atlas-%s' % app.atlas_release
        jspec.homepackage = app.home_package
        jspec.transformation = app.transformation
        jspec.destinationDBlock = job.outputdata.datasetname
        if job.outputdata.location:
            jspec.destinationSE = job.outputdata.location
        else:
            jspec.destinationSE = job.backend.site
        if job.inputdata:
            jspec.prodDBlock = job.inputdata.dataset[0]
        else:
            jspec.prodDBlock = 'NULL'
        if app.prod_source_label:
            jspec.prodSourceLabel = app.prod_source_label
        else:
            jspec.prodSourceLabel = configPanda['prodSourceLabelRun']
        jspec.processingType = configPanda['processingType']
        jspec.specialHandling = configPanda['specialHandling']
        jspec.computingSite = job.backend.site
        jspec.cloud = job.backend.requirements.cloud
        jspec.cmtConfig = app.atlas_cmtconfig
        if app.dbrelease == 'LATEST':
            try:
                latest_dbrelease = getLatestDBReleaseCaching()
            except:
                from pandatools import Client
                latest_dbrelease = Client.getLatestDBRelease()
            m = re.search('(.*):DBRelease-(.*)\.tar\.gz', latest_dbrelease)
            if m:
                self.dbrelease_dataset = m.group(1)
                self.dbrelease = m.group(2)
            else:
                raise ApplicationConfigurationError(None, "Error retrieving LATEST DBRelease. Try setting application.dbrelease manually.")
        else:
            self.dbrelease_dataset = app.dbrelease_dataset
            self.dbrelease = app.dbrelease
        jspec.jobParameters = app.job_parameters

        if self.dbrelease:
            if self.dbrelease == 'current':
                jspec.jobParameters += ' --DBRelease=current' 
            else:
                if jspec.transformation.endswith("_tf.py") or jspec.transformation.endswith("_tf"):
                    jspec.jobParameters += ' --DBRelease=DBRelease-%s.tar.gz' % (self.dbrelease,)
                else:
                    jspec.jobParameters += ' DBRelease=DBRelease-%s.tar.gz' % (self.dbrelease,)
                dbspec = FileSpec()
                dbspec.lfn = 'DBRelease-%s.tar.gz' % self.dbrelease
                dbspec.dataset = self.dbrelease_dataset
                dbspec.prodDBlock = jspec.prodDBlock
                dbspec.type = 'input'
                jspec.addFile(dbspec)
#.........这里部分代码省略.........

# 需要导入模块: from taskbuffer.JobSpec import JobSpec [as 别名]
# 或者: from taskbuffer.JobSpec.JobSpec import cmtConfig [as 别名]

#.........这里部分代码省略.........
##                     if cloudSite==eachCloud:
##                         cloud=cloudID
##                         outclouds.append(cloud)
##                         break
                    
##             print outclouds
##             # finally, matching with user's wishes
##             if len(outclouds)>0:
##                 if not job.backend.requirements.cloud: # no user wish, update
##                     job.backend.requirements.cloud=outclouds[0]
##                 else:
##                     try:
##                         assert job.backend.requirements.cloud in outclouds
##                     except:
##                         raise ApplicationConfigurationError(None,'Input dataset not available in target cloud %s. Please try any of the following %s' % (job.backend.requirements.cloud, str(outclouds)))
                                                            
        from GangaPanda.Lib.Panda.Panda import runPandaBrokerage
        
        runPandaBrokerage(job)
        
        if job.backend.site == 'AUTO':
            raise ApplicationConfigurationError(None,'site is still AUTO after brokerage!')

        # output dataset preparation and registration
        try:
            outDsLocation = Client.PandaSites[job.backend.site]['ddm']
        except:
            raise ApplicationConfigurationError(None,"Could not extract output dataset location from job.backend.site value: %s. Aborting" % job.backend.site)
        if not app.dryrun:
            for outtype in app.outputpaths.keys():
                dset=string.replace(app.outputpaths[outtype],"/",".")
                dset=dset[1:]
                # dataset registration must be done only once.
                print "registering output dataset %s at %s" % (dset,outDsLocation)
                try:
                    Client.addDataset(dset,False,location=outDsLocation)
                    dq2_set_dataset_lifetime(dset, location=outDsLocation)
                except:
                    raise ApplicationConfigurationError(None,"Fail to create output dataset %s. Aborting" % dset)
            # extend registration to build job lib dataset:
            print "registering output dataset %s at %s" % (self.libDataset,outDsLocation)

            try:
                Client.addDataset(self.libDataset,False,location=outDsLocation)
                dq2_set_dataset_lifetime(self.libDataset, outDsLocation)
            except:
                raise ApplicationConfigurationError(None,"Fail to create output dataset %s. Aborting" % self.libDataset)


        ###
        cacheVer = "-AtlasProduction_" + str(app.prod_release)
            
        logger.debug("master job submit?")
        self.outsite=job.backend.site
        if app.se_name and app.se_name != "none" and not self.outsite:
            self.outsite=app.se_name

       
        #       create build job
        jspec = JobSpec()
        jspec.jobDefinitionID   = job.id
        jspec.jobName           = commands.getoutput('uuidgen 2> /dev/null')
        jspec.AtlasRelease      = 'Atlas-%s' % app.atlas_rel
        jspec.homepackage       = 'AnalysisTransforms'+cacheVer#+nightVer
        jspec.transformation    = '%s/buildJob-00-00-03' % Client.baseURLSUB # common base to Athena and AthenaMC jobs: buildJob is a pilot job which takes care of all inputs for the real jobs (in prepare()
        jspec.destinationDBlock = self.libDataset
        jspec.destinationSE     = job.backend.site
        jspec.prodSourceLabel   = 'panda'
        jspec.assignedPriority  = 2000
        jspec.computingSite     = job.backend.site
        jspec.cloud             = job.backend.requirements.cloud
#        jspec.jobParameters     = self.args not known yet
        jspec.jobParameters     = '-o %s' % (self.library)
        if app.userarea:
            print app.userarea
            jspec.jobParameters     += ' -i %s' % (os.path.basename(app.userarea))
        else:
            jspec.jobParameters     += ' -i %s' % (sources)
        jspec.cmtConfig         = AthenaUtils.getCmtConfig(athenaVer=app.atlas_rel)
        
        matchURL = re.search('(http.*://[^/]+)/',Client.baseURLSSL)
        if matchURL:
            jspec.jobParameters += ' --sourceURL %s' % matchURL.group(1)

        fout = FileSpec()
        fout.lfn  = self.library
        fout.type = 'output'
        fout.dataset = self.libDataset
        fout.destinationDBlock = self.libDataset
        jspec.addFile(fout)

        flog = FileSpec()
        flog.lfn = '%s.log.tgz' % self.libDataset
        flog.type = 'log'
        flog.dataset = self.libDataset
        flog.destinationDBlock = self.libDataset
        jspec.addFile(flog)
        #print "MASTER JOB DETAILS:",jspec.jobParameters

        return jspec

# 需要导入模块: from taskbuffer.JobSpec import JobSpec [as 别名]
# 或者: from taskbuffer.JobSpec.JobSpec import cmtConfig [as 别名]
    def prepare(self,app,appconfig,appmasterconfig,jobmasterconfig):
        '''prepare the subjob specific configuration'''
 
        # PandaTools
        from pandatools import Client
        from pandatools import AthenaUtils
        from taskbuffer.JobSpec import JobSpec
        from taskbuffer.FileSpec import FileSpec

        job = app._getParent()
        logger.debug('AthenaMCPandaRTHandler prepare called for %s', job.getFQID('.'))
        
        try:
            assert self.outsite
        except:
            logger.error("outsite not set. Aborting")
            raise Exception()
        
        job.backend.site = self.outsite
        job.backend.actualCE = self.outsite
        cloud = job._getRoot().backend.requirements.cloud
        job.backend.requirements.cloud = cloud
        

        # now just filling the job from AthenaMC data
        
        jspec = JobSpec()
        jspec.jobDefinitionID   = job._getRoot().id
        jspec.jobName           = commands.getoutput('uuidgen 2> /dev/null')  
        jspec.AtlasRelease      = 'Atlas-%s' % app.atlas_rel
        
        if app.transform_archive:
            jspec.homepackage       = 'AnalysisTransforms'+app.transform_archive
        elif app.prod_release:
            jspec.homepackage       = 'AnalysisTransforms-AtlasProduction_'+str(app.prod_release)
        jspec.transformation    = '%s/runAthena-00-00-11' % Client.baseURLSUB
            
        #---->????  prodDBlock and destinationDBlock when facing several input / output datasets?

        jspec.prodDBlock    = 'NULL'
        if job.inputdata and len(app.inputfiles)>0 and app.inputfiles[0] in app.dsetmap:
            jspec.prodDBlock    = app.dsetmap[app.inputfiles[0]]

        # How to specify jspec.destinationDBlock  when more than one type of output is available? Panda prod jobs seem to specify only the last output dataset
        outdset=""
        for type in ["EVNT","RDO","HITS","AOD","ESD","NTUP"]:
            if type in app.outputpaths.keys():
                outdset=string.replace(app.outputpaths[type],"/",".")
                outdset=outdset[1:-1]
                break
        if not outdset:
            try:
                assert len(app.outputpaths.keys())>0
            except:
                logger.error("app.outputpaths is empty: check your output datasets")
                raise
            type=app.outputpaths.keys()[0]
            outdset=string.replace(app.outputpaths[type],"/",".")
            outdset=outdset[1:-1]
            
        jspec.destinationDBlock = outdset
        jspec.destinationSE = self.outsite
        jspec.prodSourceLabel   = 'user'
        jspec.assignedPriority  = 1000
        jspec.cloud             = cloud
        # memory
        if job.backend.requirements.memory != -1:
            jspec.minRamCount = job.backend.requirements.memory
        jspec.computingSite     = self.outsite
        jspec.cmtConfig         = AthenaUtils.getCmtConfig(athenaVer=app.atlas_rel)
#       library (source files)
        flib = FileSpec()
        flib.lfn            = self.library
#        flib.GUID           = 
        flib.type           = 'input'
#        flib.status         = 
        flib.dataset        = self.libDataset
        flib.dispatchDBlock = self.libDataset
        jspec.addFile(flib)

        #       input files FIXME: many more input types
        for lfn in app.inputfiles:
            useguid=app.turls[lfn].replace("guid:","")
            finp = FileSpec()
            finp.lfn            = lfn
            finp.GUID           = useguid
            finp.dataset        = app.dsetmap[lfn]
            finp.prodDBlock     = app.dsetmap[lfn]
            finp.prodDBlockToken = 'local'
            finp.dispatchDBlock = app.dsetmap[lfn]
            finp.type           = 'input'
            finp.status         = 'ready'
            jspec.addFile(finp)
        # add dbfiles if any:
        for lfn in app.dbfiles:
            useguid=app.dbturls[lfn].replace("guid:","")
            finp = FileSpec()
            finp.lfn            = lfn
            finp.GUID           = useguid
            finp.dataset        = app.dsetmap[lfn]
#.........这里部分代码省略.........

# 需要导入模块: from taskbuffer.JobSpec import JobSpec [as 别名]
# 或者: from taskbuffer.JobSpec.JobSpec import cmtConfig [as 别名]

#.........这里部分代码省略.........
                 if not tmpSiteID.startswith('ANALY_'):
                     continue
                 # remove test and local
                 if re.search('_test',tmpSiteID,re.I) != None:
                     continue
                 if re.search('_local',tmpSiteID,re.I) != None:
                     continue
                 # avoid same site
                 if self.avoidSameSite and self.getAggName(tmpSiteSpec.ddm) == origSiteDDM:
                     continue
                 # check DQ2 ID
                 if self.cloud in [None,tmpSiteSpec.cloud] \
                        and (self.getAggName(tmpSiteSpec.ddm) in maxDQ2Sites or inputDS == []):
                     # excluded sites
                     excludedFlag = False
                     for tmpExcSite in self.excludedSite:
                         if re.search(tmpExcSite,tmpSiteID) != None:
                             excludedFlag = True
                             break
                     if excludedFlag:
                         _logger.debug("%s skip %s since excluded" % (self.token,tmpSiteID))
                         continue
                     # use online only
                     if tmpSiteSpec.status != 'online':
                         _logger.debug("%s skip %s status=%s" % (self.token,tmpSiteID,tmpSiteSpec.status))
                         continue
                     # check maxinputsize
                     if (maxFileSize == None and origMaxInputSize > siteMapper.getSite(tmpSiteID).maxinputsize) or \
                            maxFileSize > siteMapper.getSite(tmpSiteID).maxinputsize:
                         _logger.debug("%s skip %s due to maxinputsize" % (self.token,tmpSiteID))
                         continue
                     # append
                     if not tmpSiteID in maxPandaSites:
                         maxPandaSites.append(tmpSiteID)
             # choose at most 20 sites randomly to avoid too many lookup            
             random.shuffle(maxPandaSites)
             maxPandaSites = maxPandaSites[:20]
             _logger.debug("%s candidate PandaSites -> %s" % (self.token,str(maxPandaSites)))
             # no Panda siteIDs            
             if maxPandaSites == []:            
                 _logger.debug("%s no Panda site candidate" % self.token)
             else:
                 # set AtlasRelease and cmtConfig to dummy job
                 tmpJobForBrokerage = JobSpec()
                 if self.job.AtlasRelease in ['NULL',None]:
                     tmpJobForBrokerage.AtlasRelease = ''
                 else:
                     tmpJobForBrokerage.AtlasRelease = self.job.AtlasRelease
                 # use nightlies
                 matchNight = re.search('^AnalysisTransforms-.*_(rel_\d+)$',self.job.homepackage)
                 if matchNight != None:
                     tmpJobForBrokerage.AtlasRelease += ':%s' % matchNight.group(1)
                 # use cache
                 else:
                     matchCache = re.search('^AnalysisTransforms-([^/]+)',self.job.homepackage)
                     if matchCache != None:
                         tmpJobForBrokerage.AtlasRelease = matchCache.group(1).replace('_','-')
                 if not self.job.cmtConfig in ['NULL',None]:    
                     tmpJobForBrokerage.cmtConfig = self.job.cmtConfig
                 # memory size
                 if not self.job.minRamCount in ['NULL',None,0]:
                     tmpJobForBrokerage.minRamCount = self.job.minRamCount
                 # CPU count
                 if not self.job.maxCpuCount in ['NULL',None,0]:
                     tmpJobForBrokerage.maxCpuCount = self.job.maxCpuCount
                 # run brokerage
                 brokerage.broker.schedule([tmpJobForBrokerage],self.taskBuffer,siteMapper,forAnalysis=True,
                                           setScanSiteList=maxPandaSites,trustIS=True,reportLog=True)
                 newSiteID = tmpJobForBrokerage.computingSite
                 self.brokerageInfo += tmpJobForBrokerage.brokerageErrorDiag
                 _logger.debug("%s runBrokerage - > %s" % (self.token,newSiteID))
                 # unknown site
                 if not siteMapper.checkSite(newSiteID):
                     _logger.error("%s unknown site" % self.token)
                     _logger.debug("%s failed" % self.token)
                     return 
                 # get new site spec
                 newSiteSpec = siteMapper.getSite(newSiteID)
                 # avoid repetition
                 if self.getAggName(newSiteSpec.ddm) == origSiteDDM:
                     _logger.debug("%s assigned to the same site %s " % (self.token,newSiteID))
                     _logger.debug("%s end" % self.token)                        
                     return
                 # simulation mode
                 if self.simulation:
                     _logger.debug("%s end simulation" % self.token)                        
                     return
                 # prepare jobs
                 status = self.prepareJob(newSiteID,newSiteSpec)
                 if status:
                     # run SetUpper
                     statusSetUp = self.runSetUpper()
                     if not statusSetUp:
                         _logger.debug("%s runSetUpper failed" % self.token)
                     else:
                         _logger.debug("%s successfully assigned to %s" % (self.token,newSiteID))
         _logger.debug("%s end" % self.token)
     except:
         errType,errValue,errTraceBack = sys.exc_info()
         _logger.error("%s run() : %s %s" % (self.token,errType,errValue))

# 需要导入模块: from taskbuffer.JobSpec import JobSpec [as 别名]
# 或者: from taskbuffer.JobSpec.JobSpec import cmtConfig [as 别名]
    index += 1
    job = JobSpec()
    job.jobDefinitionID   = (time.time()) % 10000
    job.jobName           = "%s_%d" % (commands.getoutput('uuidgen'),index)
    job.AtlasRelease      = 'Atlas-17.0.5'
    job.homepackage       = 'AtlasProduction/17.0.5.6'
    job.transformation    = 'AtlasG4_trf.py'
    job.destinationDBlock = datasetName
    job.computingSite     = site
    job.prodDBlock        = prodDBlock
    
    job.prodSourceLabel   = 'test'
    job.processingType    = 'test'
    job.currentPriority   = 10000
    job.cloud             = cloud
    job.cmtConfig         = 'i686-slc5-gcc43-opt'

    fileI = FileSpec()
    fileI.dataset    = job.prodDBlock
    fileI.prodDBlock = job.prodDBlock
    fileI.lfn = lfn
    fileI.type = 'input'
    job.addFile(fileI)

    fileD = FileSpec()
    fileD.dataset    = 'ddo.000001.Atlas.Ideal.DBRelease.v170602'
    fileD.prodDBlock = fileD.dataset
    fileD.lfn = 'DBRelease-17.6.2.tar.gz'
    fileD.type = 'input'
    job.addFile(fileD)

# 需要导入模块: from taskbuffer.JobSpec import JobSpec [as 别名]
# 或者: from taskbuffer.JobSpec.JobSpec import cmtConfig [as 别名]
    job = JobSpec()
    job.jobDefinitionID   = int(time.time()) % 10000
    job.jobName           = "%s_%d" % (commands.getoutput('uuidgen'),index)
    job.AtlasRelease      = 'Atlas-12.0.6'
    job.homepackage       = 'AtlasProduction/12.0.6.4'
    job.transformation    = 'csc_reco_trf.py'
    job.destinationDBlock = datasetName
    job.destinationSE     = destName
    job.computingSite     = site
    #job.prodDBlock        = 'misal1_mc12.005200.T1_McAtNlo_Jimmy.digit.RDO.v12000601_tid007554'
    job.prodDBlock        = 'misal1_mc12.005802.JF17_pythia_jet_filter.digit.RDO.v12000601_tid008610' 
    job.cloud             = 'US'   

    job.prodSourceLabel   = 'test'    
    job.currentPriority   = 10000
    job.cmtConfig         = 'i686-slc4-gcc34-opt'

    fileI = FileSpec()
    fileI.dataset    = job.prodDBlock
    fileI.prodDBlock = job.prodDBlock
    fileI.lfn = lfn
    fileI.type = 'input'
    job.addFile(fileI)

    fileD = FileSpec()
    fileD.dataset    = 'ddo.000001.Atlas.Ideal.DBRelease.v030101'
    fileD.prodDBlock = 'ddo.000001.Atlas.Ideal.DBRelease.v030101'
    fileD.lfn = 'DBRelease-3.1.1.tar.gz'
    fileD.type = 'input'
    job.addFile(fileD)

# 需要导入模块: from taskbuffer.JobSpec import JobSpec [as 别名]
# 或者: from taskbuffer.JobSpec.JobSpec import cmtConfig [as 别名]
job.jobDefinitionID   = int(time.time()) % 10000
job.jobName           = "%s_1" % commands.getoutput('uuidgen')
job.AtlasRelease      = 'Atlas-20.1.4'
job.homepackage       = 'AtlasProduction/20.1.4.14'
#job.AtlasRelease      = 'Atlas-20.20.8'
#job.homepackage       = 'AtlasProduction/20.20.8.4'
job.transformation    = 'Reco_tf.py'
job.destinationDBlock = 'panda.destDB.%s' % commands.getoutput('uuidgen')
job.destinationSE     = 'AGLT2_TEST'
job.prodDBlock        = 'user.mlassnig:user.mlassnig.pilot.test.single.hits'
job.currentPriority   = 1000
#job.prodSourceLabel   = 'ptest'
job.prodSourceLabel   = 'user'
job.computingSite     = site
job.cloud             = cloud
job.cmtConfig         = 'x86_64-slc6-gcc48-opt'
job.specialHandling   = 'ddm:rucio'
#job.transferType      = 'direct'

ifile = 'HITS.06828093._000096.pool.root.1'
fileI = FileSpec()
fileI.GUID = 'AC5B3759-B606-BA42-8681-4BD86455AE02'
fileI.checksum = 'ad:5d000974'
fileI.dataset = 'user.mlassnig:user.mlassnig.pilot.test.single.hits'
fileI.fsize = 94834717
fileI.lfn = ifile
fileI.prodDBlock = job.prodDBlock
fileI.scope = 'mc15_13TeV'
fileI.type = 'input'
job.addFile(fileI)