Python FileSpec.prodDBlock方法代码示例

# 需要导入模块: from taskbuffer.FileSpec import FileSpec [as 别名]
# 或者: from taskbuffer.FileSpec.FileSpec import prodDBlock [as 别名]
 def convertToJobFileSpec(self,datasetSpec,setType=None,useEventService=False):
     jobFileSpec = JobFileSpec()
     jobFileSpec.fileID     = self.fileID
     jobFileSpec.datasetID  = datasetSpec.datasetID
     jobFileSpec.jediTaskID = datasetSpec.jediTaskID
     jobFileSpec.lfn        = self.lfn
     jobFileSpec.GUID       = self.GUID
     if setType == None:
         jobFileSpec.type   = self.type
     else:
         jobFileSpec.type   = setType
     jobFileSpec.scope      = self.scope
     jobFileSpec.fsize      = self.fsize
     jobFileSpec.checksum   = self.checksum
     jobFileSpec.attemptNr  = self.attemptNr
     # dataset attribute
     if datasetSpec != None:
         # dataset
         if not datasetSpec.containerName in [None,'']:
             jobFileSpec.dataset = datasetSpec.containerName
         else:
             jobFileSpec.dataset = datasetSpec.datasetName
         if self.type in datasetSpec.getInputTypes() or setType in datasetSpec.getInputTypes():
             # prodDBlock
             jobFileSpec.prodDBlock = datasetSpec.datasetName
             # storage token    
             if not datasetSpec.storageToken in ['',None]:
                 jobFileSpec.dispatchDBlockToken = datasetSpec.storageToken 
         else:
             # destinationDBlock
             jobFileSpec.destinationDBlock = datasetSpec.datasetName
             # storage token    
             if not datasetSpec.storageToken in ['',None]:
                 jobFileSpec.destinationDBlockToken = datasetSpec.storageToken.split('/')[0] 
             # destination
             if not datasetSpec.destination in ['',None]:
                 jobFileSpec.destinationSE = datasetSpec.destination
             # set prodDBlockToken for Event Service
             if useEventService and datasetSpec.getObjectStore() != None:
                 jobFileSpec.prodDBlockToken = 'objectstore^{0}'.format(datasetSpec.getObjectStore())
             # allow no output
             if datasetSpec.isAllowedNoOutput():
                 jobFileSpec.allowNoOutput()
     # return
     return jobFileSpec

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

        job = app._getParent()
        logger.debug('AthenaPandaRTHandler prepare called for %s', job.getFQID('.'))

#       in case of a simple job get the dataset content, otherwise subjobs are filled by the splitter
        if job.inputdata and not job._getRoot().subjobs:

            if not job.inputdata.names:
                
                contents = job.inputdata.get_contents(overlap=False, size=True)

                for ds in contents.keys():

                    for f in contents[ds]:
                        job.inputdata.guids.append( f[0] )
                        job.inputdata.names.append( f[1][0] )
                        job.inputdata.sizes.append( f[1][1] )
                        job.inputdata.checksums.append( f[1][2] )
                        job.inputdata.scopes.append( f[1][3] )


        site = job._getRoot().backend.site
        job.backend.site = site
        job.backend.actualCE = site
        cloud = job._getRoot().backend.requirements.cloud
        job.backend.requirements.cloud = cloud

#       if no outputdata are given
        if not job.outputdata:
            job.outputdata = DQ2OutputDataset()
            job.outputdata.datasetname = job._getRoot().outputdata.datasetname
        #if not job.outputdata.datasetname:
        else:
            job.outputdata.datasetname = job._getRoot().outputdata.datasetname

        if not job.outputdata.datasetname:
            raise ApplicationConfigurationError('DQ2OutputDataset has no datasetname')

        jspec = JobSpec()
        jspec.jobDefinitionID   = job._getRoot().id
        jspec.jobName           = commands.getoutput('uuidgen 2> /dev/null')
        jspec.transformation    = '%s/runGen-00-00-02' % Client.baseURLSUB
        if job.inputdata:
            jspec.prodDBlock    = job.inputdata.dataset[0]
        else:
            jspec.prodDBlock    = 'NULL'
        jspec.destinationDBlock = job.outputdata.datasetname
        if job.outputdata.location:
            if not job._getRoot().subjobs or job.id == 0:
                logger.warning('You have specified outputdata.location. Note that Panda may not support writing to a user-defined output location.')
            jspec.destinationSE = job.outputdata.location
        else:
            jspec.destinationSE = site
        jspec.prodSourceLabel   = configPanda['prodSourceLabelRun']
        jspec.processingType    = configPanda['processingType']
        jspec.assignedPriority  = configPanda['assignedPriorityRun']
        jspec.cloud             = cloud
        # memory
        if job.backend.requirements.memory != -1:
            jspec.minRamCount = job.backend.requirements.memory
        # cputime     
        if job.backend.requirements.cputime != -1:
            jspec.maxCpuCount = job.backend.requirements.cputime
        jspec.computingSite     = site

#       library (source files)
        if job.backend.libds:
            flib = FileSpec()
            flib.lfn            = self.fileBO.lfn
            flib.GUID           = self.fileBO.GUID
            flib.type           = 'input'
            flib.status         = self.fileBO.status
            flib.dataset        = self.fileBO.destinationDBlock
            flib.dispatchDBlock = self.fileBO.destinationDBlock
            jspec.addFile(flib)
        elif job.backend.bexec:
            flib = FileSpec()
            flib.lfn            = self.library
            flib.type           = 'input'
            flib.dataset        = self.libDataset
            flib.dispatchDBlock = self.libDataset
            jspec.addFile(flib)

#       input files FIXME: many more input types
        if job.inputdata:            
            for guid, lfn, size, checksum, scope in zip(job.inputdata.guids,job.inputdata.names,job.inputdata.sizes, job.inputdata.checksums, job.inputdata.scopes):
                finp = FileSpec()
                finp.lfn            = lfn
                finp.GUID           = guid
                finp.scope          = scope
                
#            finp.fsize =
#            finp.md5sum =
                finp.dataset        = job.inputdata.dataset[0]
#.........这里部分代码省略.........

# 需要导入模块: from taskbuffer.FileSpec import FileSpec [as 别名]
# 或者: from taskbuffer.FileSpec.FileSpec import prodDBlock [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.FileSpec import FileSpec [as 别名]
# 或者: from taskbuffer.FileSpec.FileSpec import prodDBlock [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.FileSpec import FileSpec [as 别名]
# 或者: from taskbuffer.FileSpec.FileSpec import prodDBlock [as 别名]
    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)
    
    fileOL = FileSpec()
    fileOL.lfn = "%s.job.log.tgz" % commands.getoutput('uuidgen') 
    fileOL.destinationDBlock = job.destinationDBlock
    fileOL.destinationSE     = job.destinationSE
    fileOL.dataset           = job.destinationDBlock
    fileOL.type = 'log'
    job.addFile(fileOL)

    fileOZ = FileSpec()
    fileOZ.lfn = "%s.pool.root" % commands.getoutput('uuidgen') 
    fileOZ.destinationDBlock = job.destinationDBlock

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

    fileOA = FileSpec()
    fileOA.lfn = "%s.HITS.pool.root" % job.jobName
    fileOA.destinationDBlock = job.destinationDBlock
    fileOA.destinationSE     = job.destinationSE

# 需要导入模块: from taskbuffer.FileSpec import FileSpec [as 别名]
# 或者: from taskbuffer.FileSpec.FileSpec import prodDBlock [as 别名]
# Need different args too
#    job.AtlasRelease      = 'Atlas-13.0.30'
#    job.homepackage       = 'AtlasProduction/13.0.30.2'
    job.transformation    = 'csc_simul_trf.py'
    job.destinationDBlock = datasetName
    job.cloud = cloud
    job.computingSite     = site
#    job.prodDBlock        = 'mc12.005001.pythia_minbias.evgen.EVNT.v12000701_tid012303'
    job.prodDBlock        = files[lfn]
    job.prodSourceLabel   = 'test'
#    job.prodSourceLabel   = 'cloudtest'
    job.currentPriority   = 1001

    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)


    fileOE = FileSpec()
    fileOE.lfn = "%s.HITS.pool.root" % job.jobName
    fileOE.destinationDBlock = job.destinationDBlock

# 需要导入模块: from taskbuffer.FileSpec import FileSpec [as 别名]
# 或者: from taskbuffer.FileSpec.FileSpec import prodDBlock [as 别名]
    file.destinationDBlock = job.destinationDBlock
    file.destinationSE     = job.destinationSE
    file.dataset           = job.destinationDBlock
    file.type = 'output'
    job.addFile(file)
    
    fileOL = FileSpec()
    fileOL.lfn = "%s.job.log.tgz" % job.jobName
    fileOL.destinationDBlock = job.destinationDBlock
    fileOL.destinationSE     = job.destinationSE
    fileOL.dataset           = job.destinationDBlock
    fileOL.type = 'log'
    job.addFile(fileOL)

    fileL = FileSpec()
    fileL.dataset    = 'user.TadashiMaeno.acas0003.lib._000134'
    fileL.prodDBlock = fileL.dataset
    fileL.lfn        = 'user.TadashiMaeno.acas0003.lib._000134.lib.tgz'
    fileL.type       = 'input'
    fileL.status     = 'ready'
    job.addFile(fileL)
    
    job.jobParameters=("-l %s " % fileL.lfn) + """-r run/ -j "%20AnalysisSkeleton_topOptions.py" -i "[]" -m "[]" -n "[]" -o "{'AANT': [('AANTupleStream', 'AANT', """ + ("""'%s')]}" -c""" % file.lfn) 
    jobList.append(job)

s,o = Client.submitJobs(jobList)
print "---------------------"
print s
for x in o:
    print "PandaID=%s" % x[0]

# 需要导入模块: from taskbuffer.FileSpec import FileSpec [as 别名]
# 或者: from taskbuffer.FileSpec.FileSpec import prodDBlock [as 别名]
    fileOZ.lfn = "AANT.%s.root" % commands.getoutput('uuidgen') 
    fileOZ.destinationDBlock = job.destinationDBlock
    fileOZ.destinationSE     = job.destinationSE
    fileOZ.dataset           = job.destinationDBlock
    fileOZ.type = 'output'
    job.addFile(fileOZ)

    files = [
        'testIdeal_06.005001.pythia_minbias.recon.AOD.v12000103._00001.pool.root.1',
        'testIdeal_06.005001.pythia_minbias.recon.AOD.v12000103._00002.pool.root.1',
        'testIdeal_06.005001.pythia_minbias.recon.AOD.v12000103._00003.pool.root.1',
        ]
    for lfn in files:
        fileI = FileSpec()
        fileI.dataset    = job.prodDBlock
        fileI.prodDBlock = job.prodDBlock
        fileI.lfn = lfn
        fileI.type = 'input'
        fileI.status     = 'ready'
        job.addFile(fileI)

    fileL = FileSpec()
    fileL.dataset    = 'user.TadashiMaeno.lib._000157'
    fileL.prodDBlock = 'user.TadashiMaeno.lib._000157'
    fileL.lfn = 'user.TadashiMaeno.lib._000157.lib.tgz'
    fileL.type = 'input'
    fileL.status     = 'ready'
    job.addFile(fileL)

    job.jobParameters=""" -l user.TadashiMaeno.lib._000157.lib.tgz -r run/ -j " AnalysisSkeleton_jobOptions.py" -i "['testIdeal_06.005001.pythia_minbias.recon.AOD.v12000103._00001.pool.root.1', 'testIdeal_06.005001.pythia_minbias.recon.AOD.v12000103._00002.pool.root.1', 'testIdeal_06.005001.pythia_minbias.recon.AOD.v12000103._00003.pool.root.1']" -o "{'AANT': [('AANTupleStream', 'AANT', '%s')]}" """ % fileOZ.lfn 

# 需要导入模块: from taskbuffer.FileSpec import FileSpec [as 别名]
# 或者: from taskbuffer.FileSpec.FileSpec import prodDBlock [as 别名]
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
    fileI.lfn = lfn
    fileI.type = 'input'
    job.addFile(fileI)

fileD1 = FileSpec()
fileD1.dataset    = 'ddo.000001.Atlas.Ideal.DBRelease.v050001'
fileD1.prodDBlock = fileD1.dataset
fileD1.lfn = 'DBRelease-5.0.1.tar.gz'
fileD1.type = 'input'
job.addFile(fileD1)

fileD2 = FileSpec()
fileD2.dataset    = 'ddo.000001.Atlas.Ideal.DBRelease.v050101'
fileD2.prodDBlock = fileD2.dataset
fileD2.lfn = 'DBRelease-5.1.1.tar.gz'

# 需要导入模块: from taskbuffer.FileSpec import FileSpec [as 别名]
# 或者: from taskbuffer.FileSpec.FileSpec import prodDBlock [as 别名]
    # CPU, memory,disk ### FIXME

    # attempt number   ### FIXME

    # input files
    if iDataset != 'NULL':
        # remove _tidXXX
        pat = re.sub('_tid\d+$','',iDataset)
        # search
        m = re.search('('+pat+'\S+)',line)
        if m != None:
            file = FileSpec()
            file.lfn  = m.group(1)
            file.type = 'input'
            file.dataset    = iDataset
            file.prodDBlock = iDataset
            job.addFile(file)
    # DB release
    for i,lpar in enumerate(lparams):
        if lpar == 'DBRelease':
            file = FileSpec()
            file.lfn  = "%s-%s.tgz" % (lpar,vparams[i])
            file.type = 'input'
            file.dataset    = iDataset
            file.prodDBlock = iDataset
            job.addFile(file)
            break
    # output files
    for oDataset in oDatasets:
        # remove _tidXXX
        pat = re.sub('_tid\d+$','',oDataset)

# 需要导入模块: from taskbuffer.FileSpec import FileSpec [as 别名]
# 或者: from taskbuffer.FileSpec.FileSpec import prodDBlock [as 别名]
def send_job(jobid, siteid):
    _logger.debug('Jobid: ' + str(jobid))

    site = sites_.get(siteid)

    job = jobs_.get(int(jobid))
    cont = job.container
    files_catalog = cont.files

    fscope = getScope(job.owner.username)
    datasetName = '{}:{}'.format(fscope, cont.guid)

    distributive = job.distr.name
    release = job.distr.release

    # Prepare runScript
    parameters = job.distr.command
    parameters = parameters.replace("$COMMAND$", job.params)
    parameters = parameters.replace("$USERNAME$", job.owner.username)
    parameters = parameters.replace("$WORKINGGROUP$", job.owner.working_group)

    # Prepare metadata
    metadata = dict(user=job.owner.username)

    # Prepare PanDA Object
    pandajob = JobSpec()
    pandajob.jobDefinitionID = int(time.time()) % 10000
    pandajob.jobName = cont.guid
    pandajob.transformation = client_config.DEFAULT_TRF
    pandajob.destinationDBlock = datasetName
    pandajob.destinationSE = site.se
    pandajob.currentPriority = 1000
    pandajob.prodSourceLabel = 'user'
    pandajob.computingSite = site.ce
    pandajob.cloud = 'RU'
    pandajob.VO = 'atlas'
    pandajob.prodDBlock = "%s:%s" % (fscope, pandajob.jobName)
    pandajob.coreCount = job.corecount
    pandajob.metadata = json.dumps(metadata)
    #pandajob.workingGroup = job.owner.working_group

    if site.encode_commands:
        # It requires script wrapper on cluster side
        pandajob.jobParameters = '%s %s %s "%s"' % (cont.guid, release, distributive, parameters)
    else:
        pandajob.jobParameters = parameters


    has_input = False
    for fcc in files_catalog:
        if fcc.type == 'input':
            f = fcc.file
            guid = f.guid
            fileIT = FileSpec()
            fileIT.lfn = f.lfn
            fileIT.dataset = pandajob.prodDBlock
            fileIT.prodDBlock = pandajob.prodDBlock
            fileIT.type = 'input'
            fileIT.scope = fscope
            fileIT.status = 'ready'
            fileIT.GUID = guid
            pandajob.addFile(fileIT)

            has_input = True
        if fcc.type == 'output':
            f = fcc.file
            fileOT = FileSpec()
            fileOT.lfn = f.lfn
            fileOT.destinationDBlock = pandajob.prodDBlock
            fileOT.destinationSE = pandajob.destinationSE
            fileOT.dataset = pandajob.prodDBlock
            fileOT.type = 'output'
            fileOT.scope = fscope
            fileOT.GUID = f.guid
            pandajob.addFile(fileOT)

            # Save replica meta
            fc.new_replica(f, site)

    if not has_input:
        # Add fake input
        fileIT = FileSpec()
        fileIT.lfn = "fake.input"
        fileIT.dataset = pandajob.prodDBlock
        fileIT.prodDBlock = pandajob.prodDBlock
        fileIT.type = 'input'
        fileIT.scope = fscope
        fileIT.status = 'ready'
        fileIT.GUID = "fake.guid"
        pandajob.addFile(fileIT)

    # Prepare lof file
    fileOL = FileSpec()
    fileOL.lfn = "%s.log.tgz" % pandajob.jobName
    fileOL.destinationDBlock = pandajob.destinationDBlock
    fileOL.destinationSE = pandajob.destinationSE
    fileOL.dataset = '{}:logs'.format(fscope)
    fileOL.type = 'log'
    fileOL.scope = 'panda'
    pandajob.addFile(fileOL)
#.........这里部分代码省略.........