def getOutFilesGuids(outFiles, workdir, experiment, TURL=False):
""" get the outFilesGuids from the PFC """
ec = 0
pilotErrorDiag = ""
outFilesGuids = []
# Get the experiment object and the GUID source filename
thisExperiment = getExperiment(experiment)
filename = thisExperiment.getGUIDSourceFilename()
# If a source file should not be used (ie empty filename string), then generate the GUIDs here
if filename == "":
tolog("Pilot will generate GUIDs for the output files")
for i in range(0, len(outFiles)):
guid = getGUID()
if guid == "":
guid = "- GUID generation failed -"
outFilesGuids.append(guid)
return ec, pilotErrorDiag, outFilesGuids
else:
tolog("Pilot will get GUIDs for the output files from source: %s" %
(filename))
pfcFile = os.path.join(workdir,
filename) #"%s/PoolFileCatalog.xml" % (workdir)
# The PFC used for Event Service will be TURL based, use the corresponding file
if TURL:
pfcFile = pfcFile.replace(".xml", "TURL.xml")
# Initialization: make sure the guid list has the same length as the file list
for i in range(0, len(outFiles)):
outFilesGuids.append(None)
# make sure the PFC exists
if os.path.isfile(pfcFile):
from xml.dom import minidom
xmldoc = minidom.parse(pfcFile)
fileList = xmldoc.getElementsByTagName("File")
for thisfile in fileList:
gpfn = str(
thisfile.getElementsByTagName("pfn")[0].getAttribute("name"))
guid = str(thisfile.getAttribute("ID"))
for i in range(0, len(outFiles)):
if outFiles[i] == gpfn:
outFilesGuids[i] = guid
else:
pilotErrorDiag = "PFC file does not exist: %s" % (pfcFile)
tolog("!!FAILED!!3000!! %s" % (pilotErrorDiag))
error = PilotErrors()
ec = error.ERR_MISSINGPFC
return ec, pilotErrorDiag, outFilesGuids
def getOutFilesGuids(outFiles, workdir, experiment, TURL=False):
""" get the outFilesGuids from the PFC """
ec = 0
pilotErrorDiag = ""
outFilesGuids = []
# Get the experiment object and the GUID source filename
thisExperiment = getExperiment(experiment)
filename = thisExperiment.getGUIDSourceFilename()
# If a source file should not be used (ie empty filename string), then generate the GUIDs here
if filename == "":
tolog("Pilot will generate GUIDs for the output files")
for i in range (0, len(outFiles)):
guid = getGUID()
if guid == "":
guid = "- GUID generation failed -"
outFilesGuids.append(guid)
return ec, pilotErrorDiag, outFilesGuids
else:
tolog("Pilot will get GUIDs for the output files from source: %s" % (filename))
pfcFile = os.path.join(workdir, filename) #"%s/PoolFileCatalog.xml" % (workdir)
# The PFC used for Event Service will be TURL based, use the corresponding file
if TURL:
pfcFile = pfcFile.replace(".xml", "TURL.xml")
# Initialization: make sure the guid list has the same length as the file list
for i in range (0, len(outFiles)):
outFilesGuids.append(None)
# make sure the PFC exists
if os.path.isfile(pfcFile):
from xml.dom import minidom
xmldoc = minidom.parse(pfcFile)
fileList = xmldoc.getElementsByTagName("File")
for thisfile in fileList:
gpfn = str(thisfile.getElementsByTagName("pfn")[0].getAttribute("name"))
guid = str(thisfile.getAttribute("ID"))
for i in range(0, len(outFiles)):
if outFiles[i] == gpfn:
outFilesGuids[i] = guid
else:
pilotErrorDiag = "PFC file does not exist: %s" % (pfcFile)
tolog("!!FAILED!!3000!! %s" % (pilotErrorDiag))
error = PilotErrors()
ec = error.ERR_MISSINGPFC
return ec, pilotErrorDiag, outFilesGuids
def __init__(self):
self.jobId = '0' # panda job id
self.homePackage = None # package name
self.trf = None # trf name
self.inFiles = None # list of input files
self.dispatchDblock = None #
self.prodDBlockToken = [
] # used to send file info to the pilot (if input files should be directly accessed or not)
self.prodDBlockTokenForOutput = [] # used for object store info
self.prodDBlocks = [
] # contains the correct container or dataset name for the traces
self.dispatchDBlockToken = [
] # used to send space tokens to the pilot (for input files)
self.dispatchDBlockTokenForOut = None # used for chirp file destination, including server name
self.destinationDBlockToken = [
] # used to send space tokens to the pilot (for output files)
self.outFiles = [] # list of output files
self.destinationDblock = [] # datasets for output files
self.inFilesGuids = [] # list of input file guids
self.outFilesGuids = [
] # these guids are usually unknown till the job is done
self.logFile = None #
self.tarFileGuid = pUtil.getGUID(
) # guid for the tarball of the job workdir
self.logDblock = None #
self.jobPars = None # Job parameters defining the execution of the job
self.exeErrorCode = 0 # payload error code
self.exeErrorDiag = "" # payload error diagnostic, potentially more detailed error text than std error
self.pilotErrorDiag = None # detailed error diag
self.release = None # software release string
self.result = [
"Unknown", 0, 0
] # the first digit is the transExitCode, and second one is the pilotErrorCode
self.action = "" # place holder for "tobekilled" command from dispatcher
self.workdir = None # workdir for this job, usually under site.workdir
self.siteworkdir = None # workdir for the pilot (site.workdir)
self.logMsgFiles = [
] # list of log files that need to be reported back to panda server at the end of a job
self.newDirNM = "" #
self.datadir = "" # path to recovery datadir
self.finalstate = "" # final job state (either "failed" or "finished")
self.attemptNr = -1 # attempt number for this job
self.output_latereg = "None" # control variable for late registration by job recovery algo
self.output_fields = None # - " -
self.log_latereg = "None" # - " -
self.log_field = None # - " -
self.destinationSE = "" #
self.fileDestinationSE = "" # SE info for CMS
self.payload = "payload" # payload name, e.g. "athena"
self.stdout = "payload_stdout.txt" # payload stdout filename, default "%s_stdout.txt" % (self.payload)
self.stderr = "payload_stderr.txt" # payload stdout filename, default "%s_stderr.txt" % (self.payload)
self.spsetup = None # special setup string for xrdcp systems
self.prodUserID = "" # user id
self.cpuConsumptionTime = 0 # time spent during payload execution
self.cpuConsumptionUnit = None #
self.cpuConversionFactor = 0 #
self.maxCpuCount = 0 # defines what is a looping job (seconds)
self.maxDiskCount = 21 # max input file size [GB] (server default 0)
self.processingType = "NULL" # alternatively 'reprocessing', used to increase max input file size
self.prodSourceLabel = "" # job label, e.g. 'user', 'test', 'rc_test', 'ddm', 'software', 'ptest'
self.nEvents = 0 # number of processed events (read)
self.nEventsW = 0 # number of processed events (written)
self.realDatasetsIn = None # dataset name(s) for input file(s)
self.cmtconfig = None # CMTCONFIG value from the task definition
self.jobState = None # Current job state (for definition, see JobRecovery class)
self.fileStateDictionary = None # Dictionary for current file states (for definition, see JobRecovery class)
self.outputFilesXML = "OutputFiles.xml" # XML metadata related to output files for NG / CERNVM
self.transferType = None # Brokerage may decide to have input files transferred with remote I/O (set to 'direct' in that case)
self.jobDefinitionID = None # Job definition id forwarded to the DQ2 tracing server
self.cloud = "" # The cloud the job belongs to
self.credname = 'None' #
self.myproxy = 'None' #
self.taskID = "" # The task that this job belongs to
self.isPilotResubmissionRequired = False # Pilot-controlled resubmission
self.filesizeIn = [] # Input file sizes from the dispatcher
self.checksumIn = [] # Input file checksums from the dispatcher
self.debug = "" # debug = True will trigger the pilot to send stdout tail on job update
self.currentState = "" # Basically the same as result[0] but includes states like "stagein", "stageout"
self.vmPeakMax = 0 # Maximum value of vmPeak
self.vmPeakMean = 0 # Average value of vmPeak
self.RSSMean = 0 # Average value of RSS
self.JEM = "NO" # JEM usage (YES/NO), default: NO
self.filesWithoutFAX = 0 # Number of files normally staged in (only reported to jobMetrics in FAX mode)
self.filesWithFAX = 0 # Number of files staged in by FAX (only reported to jobMetrics in FAX mode)
self.filesNormalStageOut = 0 # Number of files normally staged out (only reported to jobMetrics in alt stage-out mode)
self.filesAltStageOut = 0 # Number of files staged out to alternative SE (only reported to jobMetrics in alt stage-out mode)
self.bytesWithoutFAX = 0 # Total size of files transferred without FAX (only reported to jobMetrics in FAX mode)
self.bytesWithFAX = 0 # Total size of files transferred with FAX (only reported to jobMetrics in FAX mode)
self.scopeIn = [] # Rucio scope for in files
self.scopeOut = [] # Rucio scope for out files
self.scopeLog = [] # Rucio scope for log file
self.experiment = "undefined" # Which experiment this job belongs to
self.coreCount = None # Number of cores as requested by the task
self.pgrp = 0 # Process group (RunJob* subprocess)
self.sourceSite = "" # Keep track of the original source site of the job (useful for overflow jobs to get to the proper FAX redirector)
self.ddmEndPointIn = [] #
self.ddmEndPointOut = [] #
# self.ddmEndPointOutAlt = [] #
self.ddmEndPointLog = [] #
self.cloneJob = "" # Is the job cloned? Allowed values: 'runonce', 'storeonce'
# event service objects
self.eventService = False # True for event service jobs
self.eventServiceMerge = False # True for event service merge jobs
self.eventRanges = None # Event ranges dictionary
self.jobsetID = None # Event range job set ID
# self.eventRangeID = None # Set for event service jobs
# self.startEvent = None # Set for event service jobs
# self.lastEvent = None # Set for event service jobs
# self.lfn = None # LFNs of input files to be read by the Event Server (NOT by the pilot)
# self.guid = None # GUIDs of input files to be read by the Event Server (NOT by the pilot)
# self.attemptNr = "" # (defined above)
# job mode, for example, HPC_normal, HPC_backfill
self.mode = None
self.hpcStatus = None
self.refreshNow = False
self.HPCJobId = None
# walltime counting for various steps
self.timeSetup = 0
self.timeGetJob = 0
self.timeStageIn = 0
self.timeExe = 0
self.timeStageOut = 0
self.timeCleanUp = 0
# Job start/end time
self.startTime = ""
self.endTime = ""
def setJobDef(self, data):
""" set values for a job object from a dictionary data
which is usually from cgi messages from panda server """
self.jobId = str(data.get('PandaID', '0'))
self.taskID = data.get('taskID', '')
self.outputFilesXML = "OutputFiles-%s.xml" % (self.jobId)
self.homePackage = data.get('homepackage', '')
self.trf = data.get('transformation', '')
try:
self.jobDefinitionID = int(data.get('jobDefinitionID', ''))
except:
self.jobDefinitionID = ''
try:
self.cloud = data.get('cloud', '')
except:
self.cloud = ''
# get the input files
inFiles = data.get('inFiles', '')
self.inFiles = inFiles.split(",")
realDatasetsIn = data.get('realDatasetsIn', '')
self.realDatasetsIn = realDatasetsIn.split(",")
filesizeIn = data.get('fsize', '')
self.filesizeIn = filesizeIn.split(",")
checksumIn = data.get('checksum', '')
self.checksumIn = checksumIn.split(",")
dispatchDblock = data.get('dispatchDblock', '')
self.dispatchDblock = dispatchDblock.split(",")
prodDBlocks = data.get('prodDBlocks', '')
self.prodDBlocks = prodDBlocks.split(",")
prodDBlockToken = data.get('prodDBlockToken', '')
self.prodDBlockToken = prodDBlockToken.split(",")
prodDBlockTokenForOutput = data.get('prodDBlockTokenForOutput', '')
self.prodDBlockTokenForOutput = prodDBlockTokenForOutput.split(",")
dispatchDBlockToken = data.get('dispatchDBlockToken', '')
self.dispatchDBlockToken = dispatchDBlockToken.split(",")
dispatchDBlockTokenForOut = data.get('dispatchDBlockTokenForOut', '')
self.dispatchDBlockTokenForOut = dispatchDBlockTokenForOut.split(",")
destinationDBlockToken = data.get('destinationDBlockToken', '')
self.destinationDBlockToken = destinationDBlockToken.split(",")
self.ddmEndPointIn = data.get(
'ddmEndPointIn',
'').split(',') if data.get('ddmEndPointIn') else []
self.ddmEndPointOut = data.get(
'ddmEndPointOut',
'').split(',') if data.get('ddmEndPointOut') else []
self.cloneJob = data.get('cloneJob', '')
logFile = data.get('logFile', '')
self.logFile = logFile
tarFileGuid = data.get('logGUID', pUtil.getGUID())
self.tarFileGuid = tarFileGuid
self.prodUserID = data.get('prodUserID', '')
self.credname = data.get('credname', 'None')
self.myproxy = data.get('myproxy', 'None')
outFiles = data.get('outFiles', '')
self.attemptNr = int(data.get('attemptNr', -1))
if data.has_key('GUID'):
self.inFilesGuids = data['GUID'].split(",")
else:
self.inFilesGuids = []
if data.has_key('processingType'):
self.processingType = str(data['processingType'])
# self.processingType = 'nightlies'
else:
# use default
pass
# Event Service variables
if data.has_key('eventService'):
if data.get('eventService', '').lower() == "true":
self.eventService = True
else:
self.eventService = False
pUtil.tolog("eventService = %s" % str(self.eventService))
else:
pUtil.tolog("Normal job (not an eventService job)")
if data.has_key('eventRanges'):
self.eventRanges = data.get('eventRanges', None)
if data.has_key('jobsetID'):
self.jobsetID = data.get('jobsetID', None)
pUtil.tolog("jobsetID=%s" % (self.jobsetID))
if not self.eventService and self.processingType == "evtest":
pUtil.tolog("Turning on Event Service for processing type = %s" %
(self.processingType))
self.eventService = True
# Event Service Merge variables
if data.has_key('eventServiceMerge'):
if data.get('eventServiceMerge', '').lower() == "true":
self.eventServiceMerge = True
else:
self.eventServiceMerge = False
pUtil.tolog("eventServiceMerge = %s" % str(self.eventServiceMerge))
# Event Service merge job
if self.workdir and data.has_key('eventServiceMerge') and data[
'eventServiceMerge'].lower() == "true":
if data.has_key('writeToFile'):
writeToFile = data['writeToFile']
esFileDictionary, orderedFnameList = pUtil.createESFileDictionary(
writeToFile)
pUtil.tolog("esFileDictionary=%s" % (esFileDictionary))
pUtil.tolog("orderedFnameList=%s" % (orderedFnameList))
if esFileDictionary != {}:
ec, fnames = pUtil.writeToInputFile(
self.workdir, esFileDictionary, orderedFnameList)
if ec == 0:
data['jobPars'] = pUtil.updateJobPars(
data['jobPars'], fnames)
# HPC job staus
if data.has_key('mode'):
self.mode = data.get("mode", None)
if data.has_key('hpcStatus'):
self.hpcStatus = data.get('hpcStatus', None)
# self.eventRangeID = data.get('eventRangeID', None)
# self.startEvent = data.get('startEvent', None)
# self.lastEvent = data.get('lastEvent', None)
# pUtil.tolog("eventRangeID = %s" % str(self.eventRangeID))
# pUtil.tolog("startEvent = %s" % str(self.startEvent))
# pUtil.tolog("lastEvent = %s" % str(self.lastEvent))
# if data.has_key('lfn'):
# self.lfn = data['lfn'].split(",")
# else:
# self.lfn = []
# if data.has_key('guid'):
# self.guid = data['guid'].split(",")
# else:
# self.guid = []
# Rucio scopes
if data.has_key('scopeIn'):
self.scopeIn = data['scopeIn'].split(",")
else:
self.scopeIn = []
if data.has_key('scopeOut'):
self.scopeOut = data['scopeOut'].split(",")
else:
self.scopeOut = []
if data.has_key('scopeLog'):
self.scopeLog = data['scopeLog'].split(",")
else:
self.scopeLog = []
self.maxCpuCount = int(data.get('maxCpuCount', 0))
self.transferType = data.get('transferType', '')
#PN self.transferType = 'direct'
if data.has_key('maxDiskCount'):
_tmp = int(data['maxDiskCount'])
if _tmp != 0 and _tmp != self.maxDiskCount:
self.maxDiskCount = _tmp
else:
# use default
pass
if data.has_key('cmtConfig'):
self.cmtconfig = str(data['cmtConfig'])
else:
# use default
pass
if data.has_key('coreCount'):
self.coreCount = str(data['coreCount'])
else:
# use default
pass
# Overwrite the coreCount value with ATHENA_PROC_NUMBER if it is set
if os.environ.has_key('ATHENA_PROC_NUMBER'):
try:
self.coreCount = int(os.environ['ATHENA_PROC_NUMBER'])
except Exception, e:
pUtil.tolog(
"ATHENA_PROC_NUMBER is not properly set: %s (will use existing job.coreCount value)"
% (e))
def __init__(self):
self.jobId = '0' # panda job id
self.homePackage = None # package name
self.trf = None # trf name
self.inFiles = None # list of input files
self.dispatchDblock = None #
self.prodDBlockToken = [] # used to send file info to the pilot (if input files should be directly accessed or not)
self.prodDBlockTokenForOutput = [] # used for object store info
self.prodDBlocks = [] # contains the correct container or dataset name for the traces
self.dispatchDBlockToken = [] # used to send space tokens to the pilot (for input files)
self.dispatchDBlockTokenForOut = None # used for chirp file destination, including server name
self.destinationDBlockToken = [] # used to send space tokens to the pilot (for output files)
self.outFiles = [] # list of output files
self.destinationDblock = [] # datasets for output files
self.inFilesGuids = [] # list of input file guids
self.outFilesGuids = [] # these guids are usually unknown till the job is done
self.logFile = None #
self.tarFileGuid = pUtil.getGUID() # guid for the tarball of the job workdir
self.logDblock = None #
self.jobPars = None # Job parameters defining the execution of the job
self.exeErrorCode = 0 # payload error code
self.exeErrorDiag = "" # payload error diagnostic, potentially more detailed error text than std error
self.pilotErrorDiag = None # detailed error diag
self.release = None # software release string
self.result = ["Unknown", 0, 0] # the first digit is the transExitCode, and second one is the pilotErrorCode
self.action = "" # place holder for "tobekilled" command from dispatcher
self.workdir = None # workdir for this job, usually under site.workdir
self.siteworkdir = None # workdir for the pilot (site.workdir)
self.logMsgFiles = [] # list of log files that need to be reported back to panda server at the end of a job
self.newDirNM = "" #
self.datadir = "" # path to recovery datadir
self.finalstate = "" # final job state (either "failed" or "finished")
self.attemptNr = -1 # attempt number for this job
self.output_latereg = "None" # control variable for late registration by job recovery algo
self.output_fields = None # - " -
self.log_latereg = "None" # - " -
self.log_field = None # - " -
self.destinationSE = "" #
self.fileDestinationSE = "" # SE info for CMS
self.payload = "payload" # payload name, e.g. "athena"
self.stdout = "payload_stdout.txt" # payload stdout filename, default "%s_stdout.txt" % (self.payload)
self.stderr = "payload_stderr.txt" # payload stdout filename, default "%s_stderr.txt" % (self.payload)
self.spsetup = None # special setup string for xrdcp systems
self.prodUserID = "" # user id
self.cpuConsumptionTime = 0 # time spent during payload execution
self.cpuConsumptionUnit = None #
self.cpuConversionFactor = 0 #
self.maxCpuCount = 0 # defines what is a looping job (seconds)
self.maxDiskCount = 21 # max input file size [GB] (server default 0)
self.processingType = "NULL" # alternatively 'reprocessing', used to increase max input file size
self.prodSourceLabel = "" # job label, e.g. 'user', 'test', 'rc_test', 'ddm', 'software', 'ptest'
self.nEvents = 0 # number of processed events (read)
self.nEventsW = 0 # number of processed events (written)
self.realDatasetsIn = None # dataset name(s) for input file(s)
self.cmtconfig = None # CMTCONFIG value from the task definition
self.jobState = None # Current job state (for definition, see JobRecovery class)
self.fileStateDictionary = None # Dictionary for current file states (for definition, see JobRecovery class)
self.outputFilesXML = "OutputFiles.xml" # XML metadata related to output files for NG / CERNVM
self.transferType = None # Brokerage may decide to have input files transferred with remote I/O (set to 'direct' in that case)
self.jobDefinitionID = None # Job definition id forwarded to the DQ2 tracing server
self.cloud = "" # The cloud the job belongs to
self.credname = 'None' #
self.myproxy = 'None' #
self.taskID = "" # The task that this job belongs to
self.isPilotResubmissionRequired = False # Pilot-controlled resubmission
self.filesizeIn = [] # Input file sizes from the dispatcher
self.checksumIn = [] # Input file checksums from the dispatcher
self.debug = "" # debug = True will trigger the pilot to send stdout tail on job update
self.currentState = "" # Basically the same as result[0] but includes states like "stagein", "stageout"
self.vmPeakMax = 0 # Maximum value of vmPeak
self.vmPeakMean = 0 # Average value of vmPeak
self.RSSMean = 0 # Average value of RSS
self.JEM = "NO" # JEM usage (YES/NO), default: NO
self.filesWithoutFAX = 0 # Number of files normally staged in (only reported to jobMetrics in FAX mode)
self.filesWithFAX = 0 # Number of files staged in by FAX (only reported to jobMetrics in FAX mode)
self.filesNormalStageOut = 0 # Number of files normally staged out (only reported to jobMetrics in alt stage-out mode)
self.filesAltStageOut = 0 # Number of files staged out to alternative SE (only reported to jobMetrics in alt stage-out mode)
self.bytesWithoutFAX = 0 # Total size of files transferred without FAX (only reported to jobMetrics in FAX mode)
self.bytesWithFAX = 0 # Total size of files transferred with FAX (only reported to jobMetrics in FAX mode)
self.scopeIn = [] # Rucio scope for in files
self.scopeOut = [] # Rucio scope for out files
self.scopeLog = [] # Rucio scope for log file
self.experiment = "undefined" # Which experiment this job belongs to
self.coreCount = None # Number of cores as requested by the task
self.pgrp = 0 # Process group (RunJob* subprocess)
self.sourceSite = "" # Keep track of the original source site of the job (useful for overflow jobs to get to the proper FAX redirector)
self.ddmEndPointIn = [] #
self.ddmEndPointOut = [] #
# self.ddmEndPointOutAlt = [] #
self.ddmEndPointLog = [] #
self.cloneJob = "" # Is the job cloned? Allowed values: 'runonce', 'storeonce'
# event service objects
self.eventService = False # True for event service jobs
self.eventServiceMerge = False # True for event service merge jobs
self.eventRanges = None # Event ranges dictionary
self.jobsetID = None # Event range job set ID
# self.eventRangeID = None # Set for event service jobs
# self.startEvent = None # Set for event service jobs
# self.lastEvent = None # Set for event service jobs
# self.lfn = None # LFNs of input files to be read by the Event Server (NOT by the pilot)
# self.guid = None # GUIDs of input files to be read by the Event Server (NOT by the pilot)
# self.attemptNr = "" # (defined above)
# job mode, for example, HPC_normal, HPC_backfill
self.mode = None
self.hpcStatus = None
self.refreshNow = False
# walltime counting for various steps
self.timeSetup = 0
self.timeGetJob = 0
self.timeStageIn = 0
self.timeExe = 0
self.timeStageOut = 0
self.timeCleanUp = 0
