Python FileSpec.FileSpec类代码示例

        def outFileSpec(of=None, log=False):
            """Local routine to create an FileSpec for the an job output/log file

               :arg str of: output file base name
               :return: FileSpec object for the output file."""
            outfile = FileSpec()
            if log:
                outfile.lfn = "job.log_%d_%s.tgz" % (jobid, lfnhanger)
                outfile.type = 'log'
            else:
                outfile.lfn = '%s_%d_%s%s' %(os.path.splitext(of)[0], jobid, lfnhanger, os.path.splitext(of)[1])
                outfile.type = 'output'
            outfile.destinationDBlock = pandajob.destinationDBlock
            outfile.destinationSE = task['tm_asyncdest']
            outfile.dataset = pandajob.destinationDBlock
            return outfile

job.transformation = 'http://pandawms.org/pandawms-jobcache/lsst-trf-phosim332.sh'
job.destinationDBlock = datasetName
#job.destinationSE     = destName
job.destinationSE     = 'local' 
job.currentPriority   = 1000
#job.prodSourceLabel   = 'ptest'
#job.prodSourceLabel = 'panda'
#job.prodSourceLabel = 'ptest'
#job.prodSourceLabel = 'test'
#job.prodSourceLabel = 'ptest'
### 2014-01-27
#job.prodSourceLabel = 'user'
job.prodSourceLabel = 'panda'
job.computingSite     = site
job.jobParameters = ""
job.VO = "lsst"

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)


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

import getpass
passwd = getpass.getpass()

pool = DBProxyPool('adbpro.usatlas.bnl.gov',passwd,2)

proxy = pool.getProxy()

import sys
import commands

job1 = JobSpec()
job1.PandaID='NULL'
job1.jobStatus='unknown'
job1.computingSite="aaa"
f11 = FileSpec()
f11.lfn = 'in1.pool.root'
f11.type = 'input'
job1.addFile(f11)
f12 = FileSpec()
f12.lfn = 'out1.pool.root'
f12.type = 'output'
job1.addFile(f12)

job2 = JobSpec()
job2.PandaID='NULL'
job2.jobStatus='unknown'
job2.computingSite="bbb"
f21 = FileSpec()
f21.lfn = 'in2.pool.root'
f21.type = 'input'

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)

    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)


    fileO1 = FileSpec()

    def master_prepare(self,app,appconfig):
        '''Prepare the master job'''

        from pandatools import Client
        from taskbuffer.JobSpec import JobSpec
        from taskbuffer.FileSpec import FileSpec

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

        # set chirp variables
        if configPanda['chirpconfig'] or configPanda['chirpserver']:
            setChirpVariables()

#       Pack inputsandbox
        inputsandbox = 'sources.%s.tar' % commands.getoutput('uuidgen 2> /dev/null') 
        inpw = job.getInputWorkspace()
        # add user script to inputsandbox
        if hasattr(job.application.exe, "name"):
            if not job.application.exe in job.inputsandbox:
                job.inputsandbox.append(job.application.exe)

        for fname in [f.name for f in job.inputsandbox]:
            fname.rstrip(os.sep)
            path = fname[:fname.rfind(os.sep)]
            f = fname[fname.rfind(os.sep)+1:]
            rc, output = commands.getstatusoutput('tar rf %s -C %s %s' % (inpw.getPath(inputsandbox), path, f))
            if rc:
                logger.error('Packing inputsandbox failed with status %d',rc)
                logger.error(output)
                raise ApplicationConfigurationError('Packing inputsandbox failed.')
        if len(job.inputsandbox) > 0:
            rc, output = commands.getstatusoutput('gzip %s' % (inpw.getPath(inputsandbox)))
            if rc:
                logger.error('Packing inputsandbox failed with status %d',rc)
                logger.error(output)
                raise ApplicationConfigurationError('Packing inputsandbox failed.')
            inputsandbox += ".gz"
        else:
            inputsandbox = None

#       Upload Inputsandbox
        if inputsandbox:
            logger.debug('Uploading source tarball ...')
            uploadSources(inpw.getPath(),os.path.basename(inputsandbox))
            self.inputsandbox = inputsandbox
        else:
            self.inputsandbox = None

#       input dataset
        if job.inputdata:
            if job.inputdata._name != 'DQ2Dataset':
                raise ApplicationConfigurationError('PANDA application supports only DQ2Datasets')

        # run brokerage here if not splitting
        if not job.splitter:
            from GangaPanda.Lib.Panda.Panda import runPandaBrokerage
            runPandaBrokerage(job)
        elif job.splitter._name not in ['DQ2JobSplitter', 'ArgSplitter', 'ArgSplitterTask']:
            raise ApplicationConfigurationError('Panda splitter must be DQ2JobSplitter or ArgSplitter')
        
        if job.backend.site == 'AUTO':
            raise ApplicationConfigurationError('site is still AUTO after brokerage!')

#       output dataset
        if job.outputdata:
            if job.outputdata._name != 'DQ2OutputDataset':
                raise ApplicationConfigurationError('Panda backend supports only DQ2OutputDataset')
        else:
            logger.info('Adding missing DQ2OutputDataset')
            job.outputdata = DQ2OutputDataset()

        job.outputdata.datasetname,outlfn = dq2outputdatasetname(job.outputdata.datasetname, job.id, job.outputdata.isGroupDS, job.outputdata.groupname)

        self.outDsLocation = Client.PandaSites[job.backend.site]['ddm']

        try:
            Client.addDataset(job.outputdata.datasetname,False,location=self.outDsLocation)
            logger.info('Output dataset %s registered at %s'%(job.outputdata.datasetname,self.outDsLocation))
            dq2_set_dataset_lifetime(job.outputdata.datasetname, location=self.outDsLocation)
        except exceptions.SystemExit:
            raise BackendError('Panda','Exception in Client.addDataset %s: %s %s'%(job.outputdata.datasetname,sys.exc_info()[0],sys.exc_info()[1]))

        # handle the libds
        if job.backend.libds:
            self.libDataset = job.backend.libds
            self.fileBO = getLibFileSpecFromLibDS(self.libDataset)
            self.library = self.fileBO.lfn
        elif job.backend.bexec:
            self.libDataset = job.outputdata.datasetname+'.lib'
            self.library = '%s.tgz' % self.libDataset
            try:
                Client.addDataset(self.libDataset,False,location=self.outDsLocation)
                dq2_set_dataset_lifetime(self.libDataset, location=self.outDsLocation)
                logger.info('Lib dataset %s registered at %s'%(self.libDataset,self.outDsLocation))
            except exceptions.SystemExit:
                raise BackendError('Panda','Exception in Client.addDataset %s: %s %s'%(self.libDataset,sys.exc_info()[0],sys.exc_info()[1]))

        # collect extOutFiles
        self.extOutFile = []
#.........这里部分代码省略.........

    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.........

    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.........

    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)
    
    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()

            if arg in ['outputTypes']:
                continue
            prefix = var.split('.')[0]
            sumatch = re.search('(\.[^\.]+\.[^\.]+)(\.\d+)*$',var)
            suffix = sumatch.group(1)
            newName = '%s.%s%s' % (job.jobName,prefix,suffix)
            outMap[arg] = (var,newName)
        # DBRelease
        elif arg == 'DBRelease':
            dbrMap = (arg,var)
        # input
        elif arg.startswith('input') and arg.endswith('File'):
            inputMap = (arg,var)


    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.v06020105'
    fileD.prodDBlock = fileD.dataset
    fileD.lfn = 'DBRelease-6.2.1.5.tar.gz'
    fileD.type = 'input'
    job.addFile(fileD)

    newParams = origParams
    newParams = newParams.replace(dbrMap[0]+'='+dbrMap[1],dbrMap[0]+'='+fileD.lfn)

    destName    = 'ANALY_BNL_ATLAS_1'
    
    job = JobSpec()
    job.jobDefinitionID   = 1
    job.jobName           = commands.getoutput('uuidgen') 
    job.AtlasRelease      = 'Atlas-12.0.2'
    job.homepackage       = 'AnalysisTransforms'
    job.transformation    = 'https://gridui01.usatlas.bnl.gov:24443/dav/test/runAthena2'
    job.destinationDBlock = datasetName
    job.destinationSE     = destName
    job.currentPriority   = 3000
    job.prodSourceLabel   = 'user'
    job.computingSite     = site
    job.prodDBlock        = 'testIdeal_06.005001.pythia_minbias.recon.AOD.v12000103'
    
    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 = "AANT.%s.root" % commands.getoutput('uuidgen') 
    fileOZ.destinationDBlock = job.destinationDBlock
    fileOZ.destinationSE     = job.destinationSE
    fileOZ.dataset           = job.destinationDBlock
    fileOZ.type = 'output'
    job.addFile(fileOZ)

#.........这里部分代码省略.........
                                             retTopT = self.taskBuffer.updateDatasets([unmergedDs],withLock=True,withCriteria="status<>:crStatus",
                                                                                      criteriaMap={':crStatus':unmergedDs.status})
                                             if len(retTopT) > 0 and retTopT[0]==1:
                                                 _logger.debug('%s set %s to parent dataset : %s' % (self.pandaID,unmergedDs.status,unmergedDsName))
                                             else:
                                                 _logger.debug('%s failed to update parent dataset : %s' % (self.pandaID,unmergedDsName))
                     if self.pandaDDM and self.job.prodSourceLabel=='managed':
                         # instantiate SiteMapper
                         if self.siteMapper == None:
                             self.siteMapper = SiteMapper(self.taskBuffer)
                         # get file list for PandaDDM
                         retList = self.taskBuffer.queryFilesWithMap({'destinationDBlock':destinationDBlock})
                         lfnsStr = ''
                         guidStr = ''
                         for tmpFile in retList:
                             if tmpFile.type in ['log','output']:
                                 lfnsStr += '%s,' % tmpFile.lfn
                                 guidStr += '%s,' % tmpFile.GUID
                         if lfnsStr != '':
                             guidStr = guidStr[:-1]
                             lfnsStr = lfnsStr[:-1]
                             # create a DDM job
                             ddmjob = JobSpec()
                             ddmjob.jobDefinitionID   = int(time.time()) % 10000
                             ddmjob.jobName           = "%s" % commands.getoutput('uuidgen')
                             ddmjob.transformation    = 'http://pandaserver.cern.ch:25080/trf/mover/run_dq2_cr'
                             ddmjob.destinationDBlock = 'testpanda.%s' % ddmjob.jobName
                             ddmjob.computingSite     = "BNL_ATLAS_DDM"
                             ddmjob.destinationSE     = ddmjob.computingSite
                             ddmjob.currentPriority   = 200000
                             ddmjob.prodSourceLabel   = 'ddm'
                             ddmjob.transferType      = 'sub'
                             # append log file
                             fileOL = FileSpec()
                             fileOL.lfn = "%s.job.log.tgz" % ddmjob.jobName
                             fileOL.destinationDBlock = ddmjob.destinationDBlock
                             fileOL.destinationSE     = ddmjob.destinationSE
                             fileOL.dataset           = ddmjob.destinationDBlock
                             fileOL.type = 'log'
                             ddmjob.addFile(fileOL)
                             # make arguments
                             dstDQ2ID = 'BNLPANDA'
                             srcDQ2ID = self.siteMapper.getSite(self.job.computingSite).ddm
                             callBackURL = 'https://%s:%s/server/panda/datasetCompleted?vuid=%s&site=%s' % \
                                           (panda_config.pserverhost,panda_config.pserverport,
                                            dataset.vuid,dstDQ2ID)
                             _logger.debug(callBackURL)
                             # set src/dest
                             ddmjob.sourceSite      = srcDQ2ID
                             ddmjob.destinationSite = dstDQ2ID
                             # if src==dst, send callback without ddm job
                             if dstDQ2ID == srcDQ2ID:
                                 comout = commands.getoutput('curl -k %s' % callBackURL)
                                 _logger.debug(comout)
                             else:
                                 # run dq2_cr
                                 callBackURL = urllib.quote(callBackURL)
                                 # get destination dir
                                 destDir = brokerage.broker_util._getDefaultStorage(self.siteMapper.getSite(self.job.computingSite).dq2url)
                                 argStr = "-s %s -r %s --guids %s --lfns %s --callBack %s -d %s/%s %s" % \
                                          (srcDQ2ID,dstDQ2ID,guidStr,lfnsStr,callBackURL,destDir,
                                           destinationDBlock,destinationDBlock)
                                 # set job parameters
                                 ddmjob.jobParameters = argStr
                                 _logger.debug('%s pdq2_cr %s' % (self.pandaID,ddmjob.jobParameters))
                                 ddmJobs.append(ddmjob)

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
    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'

    job.prodSourceLabel   = 'managed'
    # priority
    job.assignedPriority  = priority
    job.currentPriority   = priority
    # 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

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.........

from taskbuffer.JobSpec import JobSpec
from taskbuffer.FileSpec import FileSpec

job = JobSpec()
job.jobDefinitionID   = int(time.time()) % 10000
job.jobName           = commands.getoutput('/usr/bin/uuidgen') 
job.AtlasRelease      = 'Atlas-9.0.4'
job.prodDBlock        = 'pandatest.000003.dd.input'
job.destinationDBlock = 'panda.destDB.%s' % commands.getoutput('/usr/bin/uuidgen')
job.destinationSE     = 'BNL_SE'

ids = {'pandatest.000003.dd.input._00028.junk':'6c19e1fc-ee8c-4bae-bd4c-c9e5c73aca27',
       'pandatest.000003.dd.input._00033.junk':'98f79ba1-1793-4253-aac7-bdf90a51d1ee',
       'pandatest.000003.dd.input._00039.junk':'33660dd5-7cef-422a-a7fc-6c24cb10deb1'}
for lfn in ids.keys():
    file = FileSpec()
    file.lfn = lfn
    file.GUID = ids[file.lfn]
    file.dataset = 'pandatest.000003.dd.input'
    file.type = 'input'
    job.addFile(file)

s,o = Client.submitJobs([job])
print "---------------------"
print s
print o
print "---------------------"
s,o = Client.getJobStatus([4934, 4766, 4767, 4768, 4769])
print s
if s == 0:
    for job in o: