Python JobSpec.homepackage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 homepackage [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 homepackage [as 别名]
    site = None
    cloud = None
    
datasetName = 'panda.destDB.%s_tid999991' % commands.getoutput('uuidgen')
taskid = 999989

jobList = []

for i in range(1):
    job = JobSpec()
    job.jobDefinitionID   = int(time.time()) % 10000
    job.jobName           = "%s_%d" % (commands.getoutput('uuidgen'),i)
#    job.AtlasRelease      = 'Atlas-12.0.6'
#    job.homepackage       = 'AtlasProduction/12.0.6.5'
    job.AtlasRelease      = 'Atlas-12.0.7'
    job.homepackage       = 'AtlasProduction/12.0.7.1'

    job.transformation    = 'csc_evgen_trf.py'
    job.destinationDBlock = datasetName
#    job.destinationSE     = destName
#    job.cloud             = 'CA'
    job.cloud             = cloud
    job.taskID = taskid
    job.currentPriority   = 1000
    job.prodSourceLabel   = 'test'
#    job.prodSourceLabel   = 'cloudtest'
    job.computingSite     = site
    
    file = FileSpec()
    file.lfn = "%s.evgen.pool.root" % job.jobName
    file.destinationDBlock = job.destinationDBlock

# 需要导入模块: from taskbuffer.JobSpec import JobSpec [as 别名]
# 或者: from taskbuffer.JobSpec.JobSpec import homepackage [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 homepackage [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 homepackage [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 homepackage [as 别名]
    site = sys.argv[1]
else:
    site = None

datasetName = 'panda.destDB.%s' % commands.getoutput('uuidgen')
destName    = 'BNL_ATLAS_2'

jobList = []
for i in range(20):
    
    job = JobSpec()
    job.jobDefinitionID   = int(time.time()) % 10000
    job.jobName           = commands.getoutput('uuidgen') 
    job.AtlasRelease      = 'Atlas-11.0.41'
    #job.AtlasRelease      = 'Atlas-11.0.3'
    job.homepackage       = 'AnalysisTransforms'
    job.transformation    = 'https://gridui01.usatlas.bnl.gov:24443/dav/test/runAthena'
    job.destinationDBlock = datasetName
    job.destinationSE     = destName
    job.currentPriority   = 100
    job.prodSourceLabel   = 'user'
    job.computingSite     = site
    #job.prodDBlock        = "pandatest.b1599dfa-cd36-4fc5-92f6-495781a94c66"
    job.prodDBlock        = "pandatest.f228b051-077b-4f81-90bf-496340644379"
    
    fileI = FileSpec()
    fileI.dataset    = job.prodDBlock
    fileI.prodDBlock = job.prodDBlock
    fileI.lfn = "lib.f228b051-077b-4f81-90bf-496340644379.tgz"
    fileI.type = 'input'
    job.addFile(fileI)

# 需要导入模块: from taskbuffer.JobSpec import JobSpec [as 别名]
# 或者: from taskbuffer.JobSpec.JobSpec import homepackage [as 别名]
destName    = None

files = {
    'daq.ATLAS.0092045.physics.RPCwBeam.LB0016.SFO-2._0009.data':None,
    }

jobList = []

index = 0
for lfn in files.keys():
    index += 1
    job = JobSpec()
    job.jobDefinitionID   = int(time.time()) % 10000
    job.jobName           = "%s_%d" % (commands.getoutput('uuidgen'),index)
    job.AtlasRelease      = 'Atlas-14.4.0'
    job.homepackage       = 'AtlasTier0/14.4.0.2'
    job.transformation    = 'Reco_trf.py'
    job.destinationDBlock = datasetName
    job.destinationSE     = destName
    job.computingSite     = site
    job.prodDBlock        = 'data08_cos.00092045.physics_RPCwBeam.daq.RAW.o4_T1224560091' 
    
    job.prodSourceLabel   = 'test'
    job.processingType    = 'reprocessing'        
    job.currentPriority   = 10000
    job.cloud = cloud
    job.cmtConfig         = 'i686-slc4-gcc34-opt'

    origParams = """inputBSFile=daq.ATLAS.0092045.physics.RPCwBeam.LB0016.SFO-2._0009.data maxEvents=5 skipEvents=0 autoConfiguration=FieldAndGeo preInclude=RecExCommission/RecExCommission.py,RecExCommission/MinimalCommissioningSetup.py,RecJobTransforms/UseOracle.py preExec="jetFlags.Enabled.set_Value_and_Lock(False)" DBRelease=DBRelease-6.2.1.5.tar.gz conditionsTag=COMCOND-ES1C-000-00 RunNumber=92045 beamType=cosmics AMITag=r595 projectName=data08_cos trigStream=physics_RPCwBeam outputTypes=DPDCOMM outputESDFile=ESD.029868._01110.pool.root outputTAGComm=TAG_COMM.029868._01110.pool.root outputAODFile=AOD.029868._01110.pool.root outputMergedDQMonitorFile=DQM_MERGED.029868._01110.root DPD_PIXELCOMM=DPD_PIXELCOMM.029868._01110.pool.root DPD_SCTCOMM=DPD_SCTCOMM.029868._01110.pool.root DPD_IDCOMM=DPD_IDCOMM.029868._01110.pool.root DPD_IDPROJCOMM=DPD_IDPROJCOMM.029868._01110.pool.root DPD_CALOCOMM=DPD_CALOCOMM.029868._01110.pool.root DPD_TILECOMM=DPD_TILECOMM.029868._01110.pool.root DPD_EMCLUSTCOMM=DPD_EMCLUSTCOMM.029868._01110.pool.root DPD_EGAMMACOMM=DPD_EGAMMACOMM.029868._01110.pool.root DPD_RPCCOMM=DPD_RPCCOMM.029868._01110.pool.root DPD_TGCCOMM=DPD_TGCCOMM.029868._01110.pool.root --ignoreunknown"""

    match = re.findall("([^\s]+=[^\s]+)",origParams)

# 需要导入模块: from taskbuffer.JobSpec import JobSpec [as 别名]
# 或者: from taskbuffer.JobSpec.JobSpec import homepackage [as 别名]
datasetName = 'panda.destDB.%s' % commands.getoutput('uuidgen')

files = {
    inputFile:None,
    }

jobList = []

index = 0
for lfn in files.keys():
    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

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

if len(sys.argv)>1:
    site = sys.argv[1]
else:
    site = None

datasetName = 'panda.destDB.%s' % commands.getoutput('uuidgen')

index = 0

job = JobSpec()
job.jobDefinitionID   = int(time.time()) % 10000
job.jobName           = "%s_%d" % (commands.getoutput('uuidgen'),index)
job.AtlasRelease      = 'Atlas-14.1.0\nAtlas-14.1.0'
job.homepackage       = 'AtlasProduction/14.1.0.3\nAtlasProduction/14.1.0.3'
job.transformation    = 'csc_digi_trf.py\ncsc_reco_trf.py'
job.destinationDBlock = datasetName

job.computingSite     = site

job.prodDBlock        = 'valid1.005200.T1_McAtNlo_Jimmy.simul.HITS.e322_s429_tid022081'
    
job.prodSourceLabel   = 'test'    
job.currentPriority   = 10000
job.cloud             = 'US'

for lfn in ['HITS.022081._00001.pool.root','HITS.022081._00002.pool.root']:
    fileI = FileSpec()
    fileI.dataset    = job.prodDBlock
    fileI.prodDBlock = job.prodDBlock

# 需要导入模块: from taskbuffer.JobSpec import JobSpec [as 别名]
# 或者: from taskbuffer.JobSpec.JobSpec import homepackage [as 别名]
 iJob += 1
 job = JobSpec()
 # job ID  ###### FIXME
 job.jobDefinitionID   = int(time.time()) % 10000
 # job name
 job.jobName           = "%s_%05d.job" % (taskName,iJob)
 # AtlasRelease
 if len(re.findall('\.',trfVer)) > 2:
     match = re.search('^(\d+\.\d+\.\d+)',trfVer)
     job.AtlasRelease  = 'Atlas-%s' % match.group(1)
 else:
     job.AtlasRelease  = 'Atlas-%s' % trfVer
 # homepackage
 vers = trfVer.split('.')
 if int(vers[0]) <= 11:
     job.homepackage = 'JobTransforms'
     for ver in vers:
         job.homepackage += "-%02d" % int(ver)
 else:
     job.homepackage = 'AtlasProduction/%s' % trfVer
 # trf
 job.transformation    = trf
 job.destinationDBlock = oDatasets[0]
 # prod DBlock
 job.prodDBlock        = iDataset
 # souce lavel
 job.prodSeriesLabel   = 'pandatest'
 job.prodSourceLabel   = 'managed'
 # priority
 job.assignedPriority  = priority
 job.currentPriority   = priority

# 需要导入模块: from taskbuffer.JobSpec import JobSpec [as 别名]
# 或者: from taskbuffer.JobSpec.JobSpec import homepackage [as 别名]
destName    = 'BNL_ATLAS_2'

files = {
    'EVNT.019128._00011.pool.root.1':None,
    }

jobList = []

index = 0
for lfn in files.keys():
    index += 1
    job = JobSpec()
    job.jobDefinitionID   = int(time.time()) % 10000
    job.jobName           = "%s_%d" % (commands.getoutput('uuidgen'),index)
    job.AtlasRelease      = 'Atlas-13.0.40'
    job.homepackage       = 'AtlasProduction/13.0.40.3'
    job.transformation    = 'csc_simul_trf.py'
    job.destinationDBlock = datasetName
    job.destinationSE     = destName
    job.computingSite     = site
    job.prodDBlock        = 'valid1.005001.pythia_minbias.evgen.EVNT.e306_tid019128'
    
    job.prodSourceLabel   = 'test'    
    job.currentPriority   = 10000
    job.cloud             = 'IT'

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

# 需要导入模块: from taskbuffer.JobSpec import JobSpec [as 别名]
# 或者: from taskbuffer.JobSpec.JobSpec import homepackage [as 别名]
files={'daq.m5_combined.0028997.Default.L1TT-b00000110.LB0000.SFO-1._0001.data':'M5.0028997.Default.L1TT-b00000110.RAW.v010803',}

if cloud=='IT':
  files={'daq.m5_combined.0029118.Default.L1TT-b00000010.LB0000.SFO-1._0001.data':'M5.0029118.Default.L1TT-b00000010.RAW.v010803'}


jobList = []

for i in range(1):
  for lfn in files.keys():
    job = JobSpec()
    job.jobDefinitionID   = int(time.time()) % 10000
    job.jobName           = commands.getoutput('uuidgen') 
    job.AtlasRelease      = 'Atlas-13.0.35'
    job.homepackage       = 'AtlasPoint1/13.0.35.1'
    job.transformation    = 'csc_cosmics_trf.py'
    job.destinationDBlock = datasetName
    job.cloud = cloud
    job.computingSite     = site
    job.prodDBlock        = files[lfn]
    job.prodSourceLabel   = 'test'
    job.currentPriority   = 1001

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

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

if len(sys.argv)>2:
    site = sys.argv[1]
    cloud = sys.argv[2]
else:
    site = "UTA_PAUL_TEST"
    cloud = "US"

job = JobSpec()
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'