def createJobSpec(nodes, walltime, command, jobName, outputFile=None):
transformation = '#json#'
datasetName = 'panda.destDB.%s' % subprocess.check_output('uuidgen')
destName = 'local'
prodSourceLabel = 'user'
currentPriority = 1000
job = JobSpec()
job.jobDefinitionID = int(time.time()) % 10000
job.jobName = jobName
job.VO = VO
job.transformation = transformation
job.destinationDBlock = datasetName
job.destinationSE = destName
job.currentPriority = currentPriority
job.prodSourceLabel = prodSourceLabel
job.computingSite = QUEUE_NAME
job.cmtConfig = json.dumps({'name': job.jobName, 'next': None})
lqcd_command = {
"nodes": nodes,
"walltime": walltime,
"name": job.jobName,
"command": command
}
if (outputFile):
lqcd_command['outputFile'] = outputFile
job.jobParameters = json.dumps(lqcd_command)
fileOL = FileSpec()
fileOL.lfn = "%s.job.log.tgz" % job.jobName.strip()
fileOL.destinationDBlock = job.destinationDBlock
fileOL.destinationSE = job.destinationSE
fileOL.dataset = job.destinationDBlock
fileOL.type = 'log'
job.addFile(fileOL)
#job.cmtConfig = None
return job
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
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
def createJob(self,
name,
nodes,
walltime,
command,
inputs=None,
queuename=None):
job = JobSpec()
job.jobDefinitionID = int(time.time()) % 10000
job.jobName = "%s" % commands.getoutput('uuidgen')
job.VO = self.vo
job.transformation = self.transformation
job.destinationDBlock = self.datasetName
job.destinationSE = self.destName
job.currentPriority = self.currentPriority
job.prodSourceLabel = self.prodSourceLabel
job.computingSite = self.site if queuename is None else queuename
lqcd_command = {
"nodes": nodes,
"walltime": walltime,
"name": name,
"command": command
}
job.jobParameters = json.dumps(lqcd_command)
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)
job.cmtConfig = inputs
return job
def master_prepare(self,app,appmasterconfig):
# 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 master_prepare called for %s', job.getFQID('.'))
usertag = configDQ2['usertag']
#usertag='user09'
nickname = getNickname(allowMissingNickname=True)
self.libDataset = '%s.%s.ganga.%s_%d.lib._%06d' % (usertag,nickname,commands.getoutput('hostname').split('.')[0],int(time.time()),job.id)
# self.userprefix='%s.%s.ganga' % (usertag,gridProxy.identity())
sources = 'sources.%s.tar.gz' % commands.getoutput('uuidgen 2> /dev/null')
self.library = '%s.lib.tgz' % self.libDataset
# check DBRelease
# if job.backend.dbRelease != '' and job.backend.dbRelease.find(':') == -1:
# raise ApplicationConfigurationError(None,"ERROR : invalid argument for backend.dbRelease. Must be 'DatasetName:FileName'")
# unpack library
logger.debug('Creating source tarball ...')
tmpdir = '/tmp/%s' % commands.getoutput('uuidgen 2> /dev/null')
os.mkdir(tmpdir)
inputbox=[]
if os.path.exists(app.transform_archive):
# must add a condition on size.
inputbox += [ File(app.transform_archive) ]
if app.evgen_job_option:
self.evgen_job_option=app.evgen_job_option
if os.path.exists(app.evgen_job_option):
# locally modified job option file to add to the input sand box
inputbox += [ File(app.evgen_job_option) ]
self.evgen_job_option=app.evgen_job_option.split("/")[-1]
# add input sandbox files
if (job.inputsandbox):
for file in job.inputsandbox:
inputbox += [ file ]
# add option files
for extFile in job.backend.extOutFile:
try:
shutil.copy(extFile,tmpdir)
except IOError:
os.makedirs(tmpdir)
shutil.copy(extFile,tmpdir)
# fill the archive
for opt_file in inputbox:
try:
shutil.copy(opt_file.name,tmpdir)
except IOError:
os.makedirs(tmpdir)
shutil.copy(opt_file.name,tmpdir)
# now tar it up again
inpw = job.getInputWorkspace()
rc, output = commands.getstatusoutput('tar czf %s -C %s .' % (inpw.getPath(sources),tmpdir))
if rc:
logger.error('Packing sources failed with status %d',rc)
logger.error(output)
raise ApplicationConfigurationError(None,'Packing sources failed.')
shutil.rmtree(tmpdir)
# upload sources
logger.debug('Uploading source tarball ...')
try:
cwd = os.getcwd()
os.chdir(inpw.getPath())
rc, output = Client.putFile(sources)
if output != 'True':
logger.error('Uploading sources %s failed. Status = %d', sources, rc)
logger.error(output)
raise ApplicationConfigurationError(None,'Uploading archive failed')
finally:
os.chdir(cwd)
# Use Panda's brokerage
## if job.inputdata and len(app.sites)>0:
## # update cloud, use inputdata's
## from dq2.info.TiersOfATLAS import whichCloud,ToACache
## inclouds=[]
## for site in app.sites:
## cloudSite=whichCloud(app.sites[0])
## if cloudSite not in inclouds:
## inclouds.append(cloudSite)
## # now converting inclouds content into proper brokering stuff.
## outclouds=[]
## for cloudSite in inclouds:
## for cloudID, eachCloud in ToACache.dbcloud.iteritems():
## 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
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]
finp.prodDBlock = app.dsetmap[lfn]
finp.prodDBlockToken = 'local'
finp.dispatchDBlock = app.dsetmap[lfn]
finp.type = 'input'
finp.status = 'ready'
jspec.addFile(finp)
# then minbias files
for lfn in app.mbfiles:
useguid=app.minbias_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)
# then cavern files
for lfn in app.cavernfiles:
useguid=app.cavern_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)
# output files( this includes the logfiles)
# Output files
jidtag=""
job = app._getParent() # Returns job or subjob object
if job._getRoot().subjobs:
jidtag = job._getRoot().id
else:
jidtag = "%d" % job.id
outfiles=app.subjobsOutfiles[job.id]
pandaOutfiles={}
for type in outfiles.keys():
pandaOutfiles[type]=outfiles[type]+"."+str(jidtag)
if type=="LOG":
pandaOutfiles[type]+=".tgz"
#print pandaOutfiles
for outtype in pandaOutfiles.keys():
fout = FileSpec()
dset=string.replace(app.outputpaths[outtype],"/",".")
dset=dset[1:-1]
fout.dataset=dset
fout.lfn=pandaOutfiles[outtype]
fout.type = 'output'
# fout.destinationDBlock = jspec.destinationDBlock
fout.destinationDBlock = fout.dataset
fout.destinationSE = jspec.destinationSE
if outtype=='LOG':
fout.type='log'
fout.destinationDBlock = fout.dataset
fout.destinationSE = job.backend.site
jspec.addFile(fout)
# job parameters
param = '-l %s ' % self.library # user tarball.
# use corruption checker
if job.backend.requirements.corCheck:
param += '--corCheck '
# disable to skip missing files
if job.backend.requirements.notSkipMissing:
param += '--notSkipMissing '
# transform parameters
# need to update arglist with final output file name...
newArgs=[]
if app.mode == "evgen":
app.args[3]=app.args[3]+" -t "
if app.verbosity:
app.args[3]=app.args[3]+" -l %s " % app.verbosity
for arg in app.args[3:]:
for type in outfiles.keys():
if arg.find(outfiles[type])>-1:
arg=arg.replace(outfiles[type],pandaOutfiles[type])
newArgs.append(arg)
arglist=string.join(newArgs," ")
# print "Arglist:",arglist
param += ' -r ./ '
param += ' -j "%s"' % urllib.quote(arglist)
allinfiles=app.inputfiles+app.dbfiles
# Input files.
param += ' -i "%s" ' % allinfiles
if len(app.mbfiles)>0:
param+= ' -m "%s" ' % app.mbfiles
if len(app.cavernfiles)>0:
param+= ' -n "%s" ' % app.cavernfiles
# param += '-m "[]" ' #%minList FIXME
# param += '-n "[]" ' #%cavList FIXME
del pandaOutfiles["LOG"] # logfiles do not appear in IROOT block, and this one is not needed anymore...
param += ' -o "{\'IROOT\':%s }"' % str(pandaOutfiles.items())
# source URL
matchURL = re.search("(http.*://[^/]+)/",Client.baseURLSSL)
if matchURL != None:
param += " --sourceURL %s " % matchURL.group(1)
param += " --trf"
jspec.jobParameters = param
jspec.metadata="--trf \"%s\"" % arglist
#print "SUBJOB DETAILS:",jspec.values()
if app.dryrun:
print "job.application.dryrun activated, printing out job parameters"
print jspec.values()
return
return jspec
def run(self):
try:
# get job
tmpJobs = self.taskBuffer.getFullJobStatus([self.rPandaID])
if tmpJobs == [] or tmpJobs[0] == None:
_logger.debug("cannot find job for PandaID=%s" % self.rPandaID)
return
self.job = tmpJobs[0]
_logger.debug("%s start %s:%s:%s" % (self.token,self.job.jobDefinitionID,self.job.prodUserName,self.job.computingSite))
# using output container
if not self.job.destinationDBlock.endswith('/'):
_logger.debug("%s ouput dataset container is required" % self.token)
_logger.debug("%s end" % self.token)
return
# FIXEME : dont' touch group jobs for now
if self.job.destinationDBlock.startswith('group') and (not self.userRequest):
_logger.debug("%s skip group jobs" % self.token)
_logger.debug("%s end" % self.token)
return
# check processingType
typesForRebro = ['pathena','prun','ganga','ganga-rbtest']
if not self.job.processingType in typesForRebro:
_logger.debug("%s skip processingType=%s not in %s" % \
(self.token,self.job.processingType,str(typesForRebro)))
_logger.debug("%s end" % self.token)
return
# check jobsetID
if self.job.jobsetID in [0,'NULL',None]:
_logger.debug("%s jobsetID is undefined" % self.token)
_logger.debug("%s end" % self.token)
return
# check metadata
if self.job.metadata in [None,'NULL']:
_logger.debug("%s metadata is unavailable" % self.token)
_logger.debug("%s end" % self.token)
return
# check --disableRebrokerage
match = re.search("--disableRebrokerage",self.job.metadata)
if match != None and (not self.simulation) and (not self.forceOpt) \
and (not self.userRequest):
_logger.debug("%s diabled rebrokerage" % self.token)
_logger.debug("%s end" % self.token)
return
# check --site
match = re.search("--site",self.job.metadata)
if match != None and (not self.simulation) and (not self.forceOpt) \
and (not self.userRequest):
_logger.debug("%s --site is used" % self.token)
_logger.debug("%s end" % self.token)
return
# check --libDS
match = re.search("--libDS",self.job.metadata)
if match != None:
_logger.debug("%s --libDS is used" % self.token)
_logger.debug("%s end" % self.token)
return
# check --workingGroup since it is site-specific
match = re.search("--workingGroup",self.job.metadata)
if match != None:
_logger.debug("%s workingGroup is specified" % self.token)
_logger.debug("%s end" % self.token)
return
# avoid too many rebrokerage
if not self.checkRev():
_logger.debug("%s avoid too many rebrokerage" % self.token)
_logger.debug("%s end" % self.token)
return
# check if multiple JobIDs use the same libDS
if self.bPandaID != None and self.buildStatus not in ['finished','failed']:
if self.minPandaIDlibDS == None or self.maxPandaIDlibDS == None:
_logger.debug("%s max/min PandaIDs are unavailable for the libDS" % self.token)
_logger.debug("%s end" % self.token)
return
tmpPandaIDsForLibDS = self.taskBuffer.getFullJobStatus([self.minPandaIDlibDS,self.maxPandaIDlibDS])
if len(tmpPandaIDsForLibDS) != 2 or tmpPandaIDsForLibDS[0] == None or tmpPandaIDsForLibDS[1] == None:
_logger.debug("%s failed to get max/min PandaIDs for the libDS" % self.token)
_logger.debug("%s end" % self.token)
return
# check
if tmpPandaIDsForLibDS[0].jobDefinitionID != tmpPandaIDsForLibDS[1].jobDefinitionID:
_logger.debug("%s multiple JobIDs use the libDS %s:%s %s:%s" % (self.token,tmpPandaIDsForLibDS[0].jobDefinitionID,
self.minPandaIDlibDS,tmpPandaIDsForLibDS[1].jobDefinitionID,
self.maxPandaIDlibDS))
_logger.debug("%s end" % self.token)
return
# check excludedSite
if self.excludedSite == None:
self.excludedSite = []
match = re.search("--excludedSite( +|=)\s*(\'|\")*([^ \"\';$]+)",self.job.metadata)
if match != None:
self.excludedSite = match.group(3).split(',')
# remove empty
try:
self.excludedSite.remove('')
except:
pass
_logger.debug("%s excludedSite=%s" % (self.token,str(self.excludedSite)))
# check cloud
if self.cloud == None:
match = re.search("--cloud( +|=)\s*(\'|\")*([^ \"\';$]+)",self.job.metadata)
if match != None:
self.cloud = match.group(3)
_logger.debug("%s cloud=%s" % (self.token,self.cloud))
# get inDS/LFNs
status,tmpMapInDS,maxFileSize = self.taskBuffer.getInDatasetsForReBrokerage(self.jobID,self.userName)
if not status:
# failed
_logger.error("%s failed to get inDS/LFN from DB" % self.token)
return
status,inputDS = self.getListDatasetsUsedByJob(tmpMapInDS)
if not status:
# failed
_logger.error("%s failed" % self.token)
return
# get relicas
replicaMap = {}
unknownSites = {}
for tmpDS in inputDS:
if tmpDS.endswith('/'):
# container
status,tmpRepMaps = self.getListDatasetReplicasInContainer(tmpDS)
else:
# normal dataset
status,tmpRepMap = self.getListDatasetReplicas(tmpDS)
tmpRepMaps = {tmpDS:tmpRepMap}
if not status:
# failed
_logger.debug("%s failed" % self.token)
return
# make map per site
for tmpDS,tmpRepMap in tmpRepMaps.iteritems():
for tmpSite,tmpStat in tmpRepMap.iteritems():
# ignore special sites
if tmpSite in ['CERN-PROD_TZERO','CERN-PROD_DAQ','CERN-PROD_TMPDISK']:
continue
# ignore tape sites
if tmpSite.endswith('TAPE'):
continue
# keep sites with unknown replica info
if tmpStat[-1]['found'] == None:
if not unknownSites.has_key(tmpDS):
unknownSites[tmpDS] = []
unknownSites[tmpDS].append(tmpSite)
# ignore ToBeDeleted
if tmpStat[-1]['archived'] in ['ToBeDeleted',]:
continue
# change EOS
if tmpSite.startswith('CERN-PROD_EOS'):
tmpSite = 'CERN-PROD_EOS'
# change EOS TMP
if tmpSite.startswith('CERN-PROD_TMP'):
tmpSite = 'CERN-PROD_TMP'
# change DISK to SCRATCHDISK
tmpSite = re.sub('_[^_-]+DISK$','',tmpSite)
# change PERF-XYZ to SCRATCHDISK
tmpSite = re.sub('_PERF-[^_-]+$','',tmpSite)
# change PHYS-XYZ to SCRATCHDISK
tmpSite = re.sub('_PHYS-[^_-]+$','',tmpSite)
# patch for BNLPANDA
if tmpSite in ['BNLPANDA']:
tmpSite = 'BNL-OSG2'
# add to map
if not replicaMap.has_key(tmpSite):
replicaMap[tmpSite] = {}
replicaMap[tmpSite][tmpDS] = tmpStat[-1]
_logger.debug("%s replica map -> %s" % (self.token,str(replicaMap)))
# refresh replica info in needed
self.refreshReplicaInfo(unknownSites)
# instantiate SiteMapper
siteMapper = SiteMapper(self.taskBuffer)
# get original DDM
origSiteDDM = self.getAggName(siteMapper.getSite(self.job.computingSite).ddm)
# check all datasets
maxDQ2Sites = []
if inputDS != []:
# loop over all sites
for tmpSite,tmpDsVal in replicaMap.iteritems():
# loop over all datasets
appendFlag = True
for tmpOrigDS in inputDS:
# check completeness
if tmpDsVal.has_key(tmpOrigDS) and tmpDsVal[tmpOrigDS]['found'] != None and \
tmpDsVal[tmpOrigDS]['total'] == tmpDsVal[tmpOrigDS]['found']:
pass
else:
appendFlag = False
# append
if appendFlag:
if not tmpSite in maxDQ2Sites:
maxDQ2Sites.append(tmpSite)
_logger.debug("%s candidate DQ2s -> %s" % (self.token,str(maxDQ2Sites)))
if inputDS != [] and maxDQ2Sites == []:
_logger.debug("%s no DQ2 candidate" % self.token)
else:
maxPandaSites = []
# original maxinputsize
origMaxInputSize = siteMapper.getSite(self.job.computingSite).maxinputsize
# look for Panda siteIDs
for tmpSiteID,tmpSiteSpec in siteMapper.siteSpecList.iteritems():
# use ANALY_ only
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))
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-17.0.5'
job.homepackage = 'AtlasProduction/17.0.5.6'
job.transformation = 'Evgen_trf.py'
job.destinationDBlock = datasetName
job.destinationSE = destName
job.currentPriority = 10000
job.prodSourceLabel = 'test'
job.computingSite = site
job.cloud = cloud
job.cmtConfig = 'i686-slc5-gcc43-opt'
file = FileSpec()
file.lfn = "%s.evgen.pool.root" % job.jobName
file.destinationDBlock = job.destinationDBlock
file.destinationSE = job.destinationSE
file.dataset = job.destinationDBlock
file.destinationDBlockToken = 'ATLASDATADISK'
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
def master_prepare(self, app, appmasterconfig):
# 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 master_prepare called for %s',
job.getFQID('.'))
usertag = configDQ2['usertag']
#usertag='user09'
nickname = getNickname(allowMissingNickname=True)
self.libDataset = '%s.%s.ganga.%s_%d.lib._%06d' % (
usertag, nickname, commands.getoutput('hostname').split('.')[0],
int(time.time()), job.id)
# self.userprefix='%s.%s.ganga' % (usertag,gridProxy.identity())
sources = 'sources.%s.tar.gz' % commands.getoutput(
'uuidgen 2> /dev/null')
self.library = '%s.lib.tgz' % self.libDataset
# check DBRelease
# if job.backend.dbRelease != '' and job.backend.dbRelease.find(':') == -1:
# raise ApplicationConfigurationError(None,"ERROR : invalid argument for backend.dbRelease. Must be 'DatasetName:FileName'")
# unpack library
logger.debug('Creating source tarball ...')
tmpdir = '/tmp/%s' % commands.getoutput('uuidgen 2> /dev/null')
os.mkdir(tmpdir)
inputbox = []
if os.path.exists(app.transform_archive):
# must add a condition on size.
inputbox += [File(app.transform_archive)]
if app.evgen_job_option:
self.evgen_job_option = app.evgen_job_option
if os.path.exists(app.evgen_job_option):
# locally modified job option file to add to the input sand box
inputbox += [File(app.evgen_job_option)]
self.evgen_job_option = app.evgen_job_option.split("/")[-1]
# add input sandbox files
if (job.inputsandbox):
for file in job.inputsandbox:
inputbox += [file]
# add option files
for extFile in job.backend.extOutFile:
try:
shutil.copy(extFile, tmpdir)
except IOError:
os.makedirs(tmpdir)
shutil.copy(extFile, tmpdir)
# fill the archive
for opt_file in inputbox:
try:
shutil.copy(opt_file.name, tmpdir)
except IOError:
os.makedirs(tmpdir)
shutil.copy(opt_file.name, tmpdir)
# now tar it up again
inpw = job.getInputWorkspace()
rc, output = commands.getstatusoutput('tar czf %s -C %s .' %
(inpw.getPath(sources), tmpdir))
if rc:
logger.error('Packing sources failed with status %d', rc)
logger.error(output)
raise ApplicationConfigurationError(None,
'Packing sources failed.')
shutil.rmtree(tmpdir)
# upload sources
logger.debug('Uploading source tarball ...')
try:
cwd = os.getcwd()
os.chdir(inpw.getPath())
rc, output = Client.putFile(sources)
if output != 'True':
logger.error('Uploading sources %s failed. Status = %d',
sources, rc)
logger.error(output)
raise ApplicationConfigurationError(
None, 'Uploading archive failed')
finally:
os.chdir(cwd)
# Use Panda's brokerage
## if job.inputdata and len(app.sites)>0:
## # update cloud, use inputdata's
## from dq2.info.TiersOfATLAS import whichCloud,ToACache
## inclouds=[]
## for site in app.sites:
## cloudSite=whichCloud(app.sites[0])
## if cloudSite not in inclouds:
## inclouds.append(cloudSite)
## # now converting inclouds content into proper brokering stuff.
## outclouds=[]
## for cloudSite in inclouds:
## for cloudID, eachCloud in ToACache.dbcloud.iteritems():
## 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
index += 1
job = JobSpec()
job.jobDefinitionID = (time.time()) % 10000
job.jobName = "%s_%d" % (commands.getoutput('uuidgen'), index)
job.AtlasRelease = 'Atlas-15.3.1'
job.homepackage = 'AtlasProduction/15.3.1.5'
job.transformation = 'csc_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-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.v070302'
fileD.prodDBlock = fileD.dataset
fileD.lfn = 'DBRelease-7.3.2.tar.gz'
fileD.type = 'input'
job.addFile(fileD)
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)
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)
if job.inputdata:
m = re.search('(.*)\.(.*)\.(.*)\.(.*)\.(.*)\.(.*)',
job.inputdata.dataset[0])
if not m:
logger.error("Error retrieving run number from dataset name")
#raise ApplicationConfigurationError(None, "Error retrieving run number from dataset name")
runnumber = 105200
else:
runnumber = int(m.group(2))
if jspec.transformation.endswith(
"_tf.py") or jspec.transformation.endswith("_tf"):
jspec.jobParameters += ' --runNumber %d' % runnumber
else:
jspec.jobParameters += ' RunNumber=%d' % runnumber
# Output files.
randomized_lfns = []
ilfn = 0
for lfn, lfntype in zip(app.output_files, app.output_type):
ofspec = FileSpec()
if app.randomize_lfns:
randomized_lfn = lfn + (
'.%s.%d.%s' %
(job.backend.site, int(time.time()),
commands.getoutput('uuidgen 2> /dev/null')[:4]))
else:
randomized_lfn = lfn
ofspec.lfn = randomized_lfn
randomized_lfns.append(randomized_lfn)
ofspec.destinationDBlock = jspec.destinationDBlock
ofspec.destinationSE = jspec.destinationSE
ofspec.dataset = jspec.destinationDBlock
ofspec.type = 'output'
jspec.addFile(ofspec)
if jspec.transformation.endswith(
"_tf.py") or jspec.transformation.endswith("_tf"):
jspec.jobParameters += ' --output%sFile %s' % (
lfntype, randomized_lfns[ilfn])
else:
jspec.jobParameters += ' output%sFile=%s' % (
lfntype, randomized_lfns[ilfn])
ilfn = ilfn + 1
# Input files.
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):
ifspec = FileSpec()
ifspec.lfn = lfn
ifspec.GUID = guid
ifspec.fsize = size
ifspec.md5sum = checksum
ifspec.scope = scope
ifspec.dataset = jspec.prodDBlock
ifspec.prodDBlock = jspec.prodDBlock
ifspec.type = 'input'
jspec.addFile(ifspec)
if app.input_type:
itype = app.input_type
else:
itype = m.group(5)
if jspec.transformation.endswith(
"_tf.py") or jspec.transformation.endswith("_tf"):
jspec.jobParameters += ' --input%sFile %s' % (itype, ','.join(
job.inputdata.names))
else:
jspec.jobParameters += ' input%sFile=%s' % (itype, ','.join(
job.inputdata.names))
# Log files.
lfspec = FileSpec()
lfspec.lfn = '%s.job.log.tgz' % jspec.jobName
lfspec.destinationDBlock = jspec.destinationDBlock
lfspec.destinationSE = jspec.destinationSE
lfspec.dataset = jspec.destinationDBlock
lfspec.type = 'log'
jspec.addFile(lfspec)
return jspec
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)
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)
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)
if job.inputdata:
m = re.search('(.*)\.(.*)\.(.*)\.(.*)\.(.*)\.(.*)',
job.inputdata.dataset[0])
if not m:
logger.error("Error retrieving run number from dataset name")
#raise ApplicationConfigurationError(None, "Error retrieving run number from dataset name")
runnumber = 105200
else:
runnumber = int(m.group(2))
if jspec.transformation.endswith("_tf.py") or jspec.transformation.endswith("_tf"):
jspec.jobParameters += ' --runNumber %d' % runnumber
else:
jspec.jobParameters += ' RunNumber=%d' % runnumber
# Output files.
randomized_lfns = []
ilfn = 0
for lfn, lfntype in zip(app.output_files,app.output_type):
ofspec = FileSpec()
if app.randomize_lfns:
randomized_lfn = lfn + ('.%s.%d.%s' % (job.backend.site, int(time.time()), commands.getoutput('uuidgen 2> /dev/null')[:4] ) )
else:
randomized_lfn = lfn
ofspec.lfn = randomized_lfn
randomized_lfns.append(randomized_lfn)
ofspec.destinationDBlock = jspec.destinationDBlock
ofspec.destinationSE = jspec.destinationSE
ofspec.dataset = jspec.destinationDBlock
ofspec.type = 'output'
jspec.addFile(ofspec)
if jspec.transformation.endswith("_tf.py") or jspec.transformation.endswith("_tf"):
jspec.jobParameters += ' --output%sFile %s' % (lfntype, randomized_lfns[ilfn])
else:
jspec.jobParameters += ' output%sFile=%s' % (lfntype, randomized_lfns[ilfn])
ilfn=ilfn+1
# Input files.
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):
ifspec = FileSpec()
ifspec.lfn = lfn
ifspec.GUID = guid
ifspec.fsize = size
ifspec.md5sum = checksum
ifspec.scope = scope
ifspec.dataset = jspec.prodDBlock
ifspec.prodDBlock = jspec.prodDBlock
ifspec.type = 'input'
jspec.addFile(ifspec)
if app.input_type:
itype = app.input_type
else:
itype = m.group(5)
if jspec.transformation.endswith("_tf.py") or jspec.transformation.endswith("_tf"):
jspec.jobParameters += ' --input%sFile %s' % (itype, ','.join(job.inputdata.names))
else:
jspec.jobParameters += ' input%sFile=%s' % (itype, ','.join(job.inputdata.names))
# Log files.
lfspec = FileSpec()
lfspec.lfn = '%s.job.log.tgz' % jspec.jobName
lfspec.destinationDBlock = jspec.destinationDBlock
lfspec.destinationSE = jspec.destinationSE
lfspec.dataset = jspec.destinationDBlock
lfspec.type = 'log'
jspec.addFile(lfspec)
return jspec
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)
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]
finp.prodDBlock = app.dsetmap[lfn]
finp.prodDBlockToken = 'local'
finp.dispatchDBlock = app.dsetmap[lfn]
finp.type = 'input'
finp.status = 'ready'
jspec.addFile(finp)
# then minbias files
for lfn in app.mbfiles:
useguid = app.minbias_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)
# then cavern files
for lfn in app.cavernfiles:
useguid = app.cavern_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)
# output files( this includes the logfiles)
# Output files
jidtag = ""
job = app._getParent() # Returns job or subjob object
if job._getRoot().subjobs:
jidtag = job._getRoot().id
else:
jidtag = "%d" % job.id
outfiles = app.subjobsOutfiles[job.id]
pandaOutfiles = {}
for type in outfiles.keys():
pandaOutfiles[type] = outfiles[type] + "." + str(jidtag)
if type == "LOG":
pandaOutfiles[type] += ".tgz"
#print pandaOutfiles
for outtype in pandaOutfiles.keys():
fout = FileSpec()
dset = string.replace(app.outputpaths[outtype], "/", ".")
dset = dset[1:-1]
fout.dataset = dset
fout.lfn = pandaOutfiles[outtype]
fout.type = 'output'
# fout.destinationDBlock = jspec.destinationDBlock
fout.destinationDBlock = fout.dataset
fout.destinationSE = jspec.destinationSE
if outtype == 'LOG':
fout.type = 'log'
fout.destinationDBlock = fout.dataset
fout.destinationSE = job.backend.site
jspec.addFile(fout)
# job parameters
param = '-l %s ' % self.library # user tarball.
# use corruption checker
if job.backend.requirements.corCheck:
param += '--corCheck '
# disable to skip missing files
if job.backend.requirements.notSkipMissing:
param += '--notSkipMissing '
# transform parameters
# need to update arglist with final output file name...
newArgs = []
if app.mode == "evgen":
app.args[3] = app.args[3] + " -t "
if app.verbosity:
app.args[3] = app.args[3] + " -l %s " % app.verbosity
for arg in app.args[3:]:
for type in outfiles.keys():
if arg.find(outfiles[type]) > -1:
arg = arg.replace(outfiles[type], pandaOutfiles[type])
newArgs.append(arg)
arglist = string.join(newArgs, " ")
# print "Arglist:",arglist
param += ' -r ./ '
param += ' -j "%s"' % urllib.quote(arglist)
allinfiles = app.inputfiles + app.dbfiles
# Input files.
param += ' -i "%s" ' % allinfiles
if len(app.mbfiles) > 0:
param += ' -m "%s" ' % app.mbfiles
if len(app.cavernfiles) > 0:
param += ' -n "%s" ' % app.cavernfiles
# param += '-m "[]" ' #%minList FIXME
# param += '-n "[]" ' #%cavList FIXME
del pandaOutfiles[
"LOG"] # logfiles do not appear in IROOT block, and this one is not needed anymore...
param += ' -o "{\'IROOT\':%s }"' % str(pandaOutfiles.items())
# source URL
matchURL = re.search("(http.*://[^/]+)/", Client.baseURLSSL)
if matchURL != None:
param += " --sourceURL %s " % matchURL.group(1)
param += " --trf"
jspec.jobParameters = param
jspec.metadata = "--trf \"%s\"" % arglist
#print "SUBJOB DETAILS:",jspec.values()
if app.dryrun:
print "job.application.dryrun activated, printing out job parameters"
print jspec.values()
return
return jspec
