def makeThreadsStreamsTweak(self):
"""
_makeThreadsStreamsTweak_
Tweak threads and streams paraameters
"""
origCores = int(
getattr(self.step.data.application.multicore, 'numberOfCores', 1))
eventStreams = int(
getattr(self.step.data.application.multicore, 'eventStreams', 0))
resources = {'cores': origCores}
resizeResources(resources)
numCores = resources['cores']
if numCores != origCores:
self.logger.info(
"Resizing a job with nStreams != nCores. Setting nStreams = nCores. This may end badly."
)
eventStreams = 0
tweak = PSetTweak()
tweak.addParameter("process.options", "customTypeCms.untracked.PSet()")
self.applyPsetTweak(tweak, skipIfSet=True)
self.tweak.addParameter(
"process.options.numberOfThreads",
"customTypeCms.untracked.uint32(%s)" % numCores)
self.tweak.addParameter(
"process.options.numberOfStreams",
"customTypeCms.untracked.uint32(%s)" % eventStreams)
return
def setupMonitors(self, task, wmbsJob):
logging.info("In Watchdog.setupMonitors")
if not hasattr(task.data, 'watchdog'):
msg = "Could not find watchdog in spec"
logging.error(msg)
# I don't think this is necessarily fatal
return
if not hasattr(task.data.watchdog, 'monitors'):
msg = "Watchdog has no monitors"
logging.error(msg)
# Probably not fatal either
return
if hasattr(task.data.watchdog, 'interval'):
# Set the interval off the config
self.setInterval(task.data.watchdog.interval)
for monitor in task.data.watchdog.monitors:
msg = "Initializing monitor %s" % monitor
logging.info(msg)
mon = self.loadMonitor(monitor)
args = {}
if hasattr(task.data.watchdog, monitor):
# This should be a config section
monitorArgs = getattr(task.data.watchdog, monitor)
args = monitorArgs.dictionary_()
if monitor == 'PerformanceMonitor' and args:
# Apply tweaks to PerformanceMonitor only.
# Scale resources according to the HTCondor runtime environment.
origCores = 1
for stepName in task.listAllStepNames():
sh = task.getStepHelper(stepName)
origCores = max(origCores, sh.getNumberOfCores())
resources = {'cores': origCores}
origMaxPSS = args.get('maxPSS', args.get('maxRSS'))
if origMaxPSS:
resources['memory'] = origMaxPSS
# Actually parses the HTCondor runtime
resizeResources(resources)
# We decided to only touch Watchdog settings if the number of cores changed.
# (even if this means the watchdog memory is wrong for a slot this size).
changedCores = origCores != resources['cores']
# If we did base maxPSS off the memory in the HTCondor slot, subtract a bit
# off the top so watchdog triggers before HTCondor does.
# Add the new number of cores to the args such that PerformanceMonitor can see it
args['cores'] = resources['cores']
if changedCores:
if origMaxPSS:
args['maxPSS'] = resources['memory'] - 50
logging.info("Watchdog modified: %s. Final settings:",
changedCores)
for k, v in viewitems(args):
logging.info(" %s: %r", k, v)
# Actually initialize the monitor variables
mon.initMonitor(task=task,
job=wmbsJob,
logPath=self.logPath,
args=args)
self._Monitors.append(mon)
return
def setupMonitors(self, task, wmbsJob):
logging.info("In Watchdog.setupMonitors")
if not hasattr(task.data, 'watchdog'):
msg = "Could not find watchdog in spec"
logging.error(msg)
# I don't think this is necessarily fatal
return
if not hasattr(task.data.watchdog, 'monitors'):
msg = "Watchdog has no monitors"
logging.error(msg)
# Probably not fatal either
return
if hasattr(task.data.watchdog, 'interval'):
# Set the interval off the config
self.setInterval(task.data.watchdog.interval)
for monitor in task.data.watchdog.monitors:
msg = "Initializing monitor %s" % monitor
logging.info(msg)
mon = self.loadMonitor(monitor)
args = {}
if hasattr(task.data.watchdog, monitor):
# This should be a config section
monitorArgs = getattr(task.data.watchdog, monitor)
args = monitorArgs.dictionary_()
if monitor == 'PerformanceMonitor' and args:
# Apply tweaks to PerformanceMonitor only.
# Scale resources according to the HTCondor runtime environment.
origCores = 1
for stepName in task.listAllStepNames():
sh = task.getStepHelper(stepName)
origCores = max(origCores, sh.getNumberOfCores())
resources = {'cores': origCores}
origMaxPSS = args.get('maxPSS', args.get('maxRSS'))
if origMaxPSS:
resources['memory'] = origMaxPSS
# Actually parses the HTCondor runtime
resizeResources(resources)
# We decided to only touch Watchdog settings if the number of cores changed.
# (even if this means the watchdog memory is wrong for a slot this size).
changedCores = origCores != resources['cores']
# If we did base maxPSS off the memory in the HTCondor slot, subtract a bit
# off the top so watchdog triggers before HTCondor does.
# Add the new number of cores to the args such that DashboardInterface can see it
args['cores'] = resources['cores']
if changedCores:
if origMaxPSS:
args['maxPSS'] = resources['memory'] - 50
logging.info("Watchdog modified: %s. Final settings:", changedCores)
for k, v in args.iteritems():
logging.info(" %s: %r", k, v)
# Actually initialize the monitor variables
mon.initMonitor(task=task, job=wmbsJob,
logPath=self.logPath, args=args)
self._Monitors.append(mon)
return
def __call__(self):
"""
_call_
Examine the step configuration and construct a PSet from that.
"""
self.logger.info("Executing SetupCMSSWPSet...")
self.jobBag = self.job.getBaggage()
scenario = getattr(self.step.data.application.configuration,
"scenario", None)
if scenario is not None and scenario != "":
self.logger.info("Setting up job scenario/process")
funcName = getattr(self.step.data.application.configuration,
"function", None)
if getattr(self.step.data.application.configuration,
"pickledarguments", None) is not None:
funcArgs = pickle.loads(
self.step.data.application.configuration.pickledarguments)
else:
funcArgs = {}
try:
self.createProcess(scenario, funcName, funcArgs)
except Exception as ex:
self.logger.exception(
"Error creating process for Config/DataProcessing:")
raise ex
if funcName == "repack":
self.handleRepackSettings()
if funcName in ["merge", "alcaHarvesting"]:
self.handleSingleCoreOverride()
if socket.getfqdn().endswith("cern.ch"):
self.handleSpecialCERNMergeSettings(funcName)
else:
try:
self.loadPSet()
except Exception as ex:
self.logger.exception("Error loading PSet:")
raise ex
# Check process.source exists
if getattr(self.process, "source", None) is None:
msg = "Error in CMSSW PSet: process is missing attribute 'source'"
msg += " or process.source is defined with None value."
self.logger.error(msg)
raise RuntimeError(msg)
self.handleCondorStatusService()
self.fixupProcess()
# In case of CRAB3, the number of threads in the PSet should not be overridden
if not self.crabPSet:
try:
origCores = int(
getattr(self.step.data.application.multicore,
'numberOfCores', 1))
eventStreams = int(
getattr(self.step.data.application.multicore,
'eventStreams', 0))
resources = {'cores': origCores}
resizeResources(resources)
numCores = resources['cores']
if numCores != origCores:
self.logger.info(
"Resizing a job with nStreams != nCores. Setting nStreams = nCores. This may end badly."
)
eventStreams = 0
options = getattr(self.process, "options", None)
if options is None:
self.process.options = cms.untracked.PSet()
options = getattr(self.process, "options")
options.numberOfThreads = cms.untracked.uint32(numCores)
options.numberOfStreams = cms.untracked.uint32(eventStreams)
except AttributeError as ex:
self.logger.error("Failed to override numberOfThreads: %s",
str(ex))
psetTweak = getattr(self.step.data.application.command, "psetTweak",
None)
if psetTweak is not None:
self.applyPSetTweak(psetTweak, self.fixupDict)
# Apply task level tweaks
taskTweak = makeTaskTweak(self.step.data)
applyTweak(self.process, taskTweak, self.fixupDict)
# Check if chained processing is enabled
# If not - apply the per job tweaks
# If so - create an override TFC (like done in PA) and then modify thePSet accordingly
if hasattr(self.step.data.input, "chainedProcessing"
) and self.step.data.input.chainedProcessing:
self.handleChainedProcessing()
else:
# Apply per job PSet Tweaks
jobTweak = makeJobTweak(self.job)
applyTweak(self.process, jobTweak, self.fixupDict)
# check for pileup settings presence, pileup support implementation
# and if enabled, process pileup configuration / settings
if hasattr(self.step.data, "pileup"):
self.handlePileup()
# Apply per output module PSet Tweaks
cmsswStep = self.step.getTypeHelper()
for om in cmsswStep.listOutputModules():
mod = cmsswStep.getOutputModule(om)
outTweak = makeOutputTweak(mod, self.job)
applyTweak(self.process, outTweak, self.fixupDict)
# revlimiter for testing
if getattr(self.step.data.application.command, "oneEventMode", False):
self.process.maxEvents.input = 1
# check for random seeds and the method of seeding which is in the job baggage
self.handleSeeding()
# make sure default parametersets for perf reports are installed
self.handlePerformanceSettings()
# check for event numbers in the producers
self.handleProducersNumberOfEvents()
# fixup the dqmFileSaver
self.handleDQMFileSaver()
# tweak for jobs reading LHE articles from CERN
self.handleLHEInput()
# tweak jobs for enforceGUIDInFileName
self.handleEnforceGUIDInFileName()
# Check if we accept skipping bad files
if hasattr(self.step.data.application.configuration, "skipBadFiles"):
self.process.source.skipBadFiles = \
cms.untracked.bool(self.step.data.application.configuration.skipBadFiles)
# Apply events per lumi section if available
if hasattr(self.step.data.application.configuration, "eventsPerLumi"):
self.process.source.numberEventsInLuminosityBlock = \
cms.untracked.uint32(self.step.data.application.configuration.eventsPerLumi)
# limit run time if desired
if hasattr(self.step.data.application.configuration,
"maxSecondsUntilRampdown"):
self.process.maxSecondsUntilRampdown = cms.untracked.PSet(
input=cms.untracked.int32(
self.step.data.application.configuration.
maxSecondsUntilRampdown))
# accept an overridden TFC from the step
if hasattr(self.step.data.application, 'overrideCatalog'):
self.logger.info("Found a TFC override: %s",
self.step.data.application.overrideCatalog)
self.process.source.overrideCatalog = \
cms.untracked.string(self.step.data.application.overrideCatalog)
configFile = self.step.data.application.command.configuration
configPickle = getattr(self.step.data.application.command,
"configurationPickle", "PSet.pkl")
workingDir = self.stepSpace.location
try:
with open("%s/%s" % (workingDir, configPickle), 'wb') as pHandle:
pickle.dump(self.process, pHandle)
with open("%s/%s" % (workingDir, configFile), 'w') as handle:
handle.write("import FWCore.ParameterSet.Config as cms\n")
handle.write("import pickle\n")
handle.write("with open('%s', 'rb') as handle:\n" %
configPickle)
handle.write(" process = pickle.load(handle)\n")
except Exception as ex:
self.logger.exception("Error writing out PSet:")
raise ex
self.logger.info("CMSSW PSet setup completed!")
return 0
def __call__(self):
"""
_call_
Examine the step configuration and construct a PSet from that.
"""
self.process = None
scenario = getattr(self.step.data.application.configuration, "scenario", None)
if scenario is not None and scenario != "":
funcName = getattr(self.step.data.application.configuration, "function", None)
if getattr(self.step.data.application.configuration, "pickledarguments", None) is not None:
funcArgs = pickle.loads(self.step.data.application.configuration.pickledarguments)
else:
funcArgs = {}
try:
self.createProcess(scenario, funcName, funcArgs)
except Exception as ex:
logging.exception("Error creating process for Config/DataProcessing:")
raise ex
if funcName == "repack":
self.handleRepackSettings()
if funcName in ["merge", "alcaHarvesting"]:
self.handleSingleCoreOverride()
if socket.getfqdn().endswith("cern.ch"):
self.handleSpecialCERNMergeSettings(funcName)
else:
try:
self.loadPSet()
except Exception as ex:
logging.exception("Error loading PSet:")
raise ex
# Check process.source exists
if getattr(self.process, "source", None) is None:
msg = "Error in CMSSW PSet: process is missing attribute 'source'"
msg += " or process.source is defined with None value."
logging.error(msg)
raise RuntimeError(msg)
self.handleCondorStatusService()
self.fixupProcess()
# In case of CRAB3, the number of threads in the PSet should not be overridden
if not self.crabPSet:
try:
origCores = int(getattr(self.step.data.application.multicore, 'numberOfCores', 1))
eventStreams = int(getattr(self.step.data.application.multicore, 'eventStreams', 0))
resources = {'cores': origCores}
resizeResources(resources)
numCores = resources['cores']
if numCores != origCores:
logging.info(
"Resizing a job with nStreams != nCores. Setting nStreams = nCores. This may end badly.")
eventStreams = 0
options = getattr(self.process, "options", None)
if options is None:
self.process.options = cms.untracked.PSet()
options = getattr(self.process, "options")
options.numberOfThreads = cms.untracked.uint32(numCores)
options.numberOfStreams = cms.untracked.uint32(eventStreams)
except AttributeError as ex:
logging.error("Failed to override numberOfThreads: %s", str(ex))
psetTweak = getattr(self.step.data.application.command, "psetTweak", None)
if psetTweak is not None:
self.applyPSetTweak(psetTweak, self.fixupDict)
# Apply task level tweaks
taskTweak = makeTaskTweak(self.step.data)
applyTweak(self.process, taskTweak, self.fixupDict)
# Check if chained processing is enabled
# If not - apply the per job tweaks
# If so - create an override TFC (like done in PA) and then modify thePSet accordingly
if hasattr(self.step.data.input, "chainedProcessing") and self.step.data.input.chainedProcessing:
self.handleChainedProcessing()
else:
# Apply per job PSet Tweaks
jobTweak = makeJobTweak(self.job)
applyTweak(self.process, jobTweak, self.fixupDict)
# check for pileup settings presence, pileup support implementation
# and if enabled, process pileup configuration / settings
if hasattr(self.step.data, "pileup"):
self.handlePileup()
# Apply per output module PSet Tweaks
cmsswStep = self.step.getTypeHelper()
for om in cmsswStep.listOutputModules():
mod = cmsswStep.getOutputModule(om)
outTweak = makeOutputTweak(mod, self.job)
applyTweak(self.process, outTweak, self.fixupDict)
# revlimiter for testing
if getattr(self.step.data.application.command, "oneEventMode", False):
self.process.maxEvents.input = 1
# check for random seeds and the method of seeding which is in the job baggage
self.handleSeeding()
# make sure default parametersets for perf reports are installed
self.handlePerformanceSettings()
# check for event numbers in the producers
self.handleProducersNumberOfEvents()
# fixup the dqmFileSaver
self.handleDQMFileSaver()
# Check if we accept skipping bad files
if hasattr(self.step.data.application.configuration, "skipBadFiles"):
self.process.source.skipBadFiles = \
cms.untracked.bool(self.step.data.application.configuration.skipBadFiles)
# Apply events per lumi section if available
if hasattr(self.step.data.application.configuration, "eventsPerLumi"):
self.process.source.numberEventsInLuminosityBlock = \
cms.untracked.uint32(self.step.data.application.configuration.eventsPerLumi)
# limit run time if desired
if hasattr(self.step.data.application.configuration, "maxSecondsUntilRampdown"):
self.process.maxSecondsUntilRampdown = cms.untracked.PSet(
input=cms.untracked.int32(self.step.data.application.configuration.maxSecondsUntilRampdown))
# accept an overridden TFC from the step
if hasattr(self.step.data.application, 'overrideCatalog'):
logging.info("Found a TFC override: %s", self.step.data.application.overrideCatalog)
self.process.source.overrideCatalog = \
cms.untracked.string(self.step.data.application.overrideCatalog)
configFile = self.step.data.application.command.configuration
configPickle = getattr(self.step.data.application.command, "configurationPickle", "PSet.pkl")
workingDir = self.stepSpace.location
try:
with open("%s/%s" % (workingDir, configPickle), 'wb') as pHandle:
pickle.dump(self.process, pHandle)
with open("%s/%s" % (workingDir, configFile), 'w') as handle:
handle.write("import FWCore.ParameterSet.Config as cms\n")
handle.write("import pickle\n")
handle.write("with open('%s', 'rb') as handle:\n" % configPickle)
handle.write(" process = pickle.load(handle)\n")
except Exception as ex:
logging.exception("Error writing out PSet:")
raise ex
return 0
def setupMonitors(self, task, wmbsJob):
logging.info("In Watchdog.setupMonitors")
if not hasattr(task.data, 'watchdog'):
msg = "Could not find watchdog in spec"
logging.error(msg)
# I don't think this is necessarily fatal
return
if not hasattr(task.data.watchdog, 'monitors'):
msg = "Watchdog has no monitors"
logging.error(msg)
# Probably not fatal either
return
if hasattr(task.data.watchdog, 'interval'):
# Set the interval off the config
self.setInterval(task.data.watchdog.interval)
for monitor in task.data.watchdog.monitors:
msg = "Initializing monitor %s" % monitor
logging.info(msg)
mon = self.loadMonitor(monitor)
args = {}
if hasattr(task.data.watchdog, monitor):
# This should be a config section
monitorArgs = getattr(task.data.watchdog, monitor)
args = monitorArgs.dictionary_()
if monitor == 'PerformanceMonitor' and args:
# Apply tweaks to PerformanceMonitor only.
# Scale resources according to the HTCondor runtime environment.
origCores = 1
for stepName in task.listAllStepNames():
sh = task.getStepHelper(stepName)
origCores = max(origCores, sh.getNumberOfCores())
resources = {'cores': origCores}
origMaxRSS = args.get('maxRSS')
if origMaxRSS:
origMaxRSS = int(origMaxRSS /
1024.) # HTCondor expects MB; we get KB.
resources['memory'] = origMaxRSS
# Actually parses the HTCondor runtime
resizeResources(resources)
# We decided to only touch Watchdog settings if the number of cores changed.
# (even if this means the watchdog memory is wrong for a slot this size).
changedCores = origCores != resources['cores']
# HTCondor doesn't explicitly scale VSize; it's also not clear what
# resources this manages (as we already watch the memory use) or how
# it should relate to other resources (such as memory or cores used).
# Hence, we simply remove it if we change anything about the memory.
# If we did base maxRSS off the memory in the HTCondor slot, subtract a bit
# off the top so watchdog triggers before HTCondor does.
# Add the new number of cores to the args such that DashboardInterface can see it
args['cores'] = resources['cores']
if changedCores:
if origMaxRSS:
args.pop('maxVSize', None)
args['maxRSS'] = 1024 * (resources['memory'] - 50
) # Convert back to KB
logging.info("Watchdog modified: %s. Final settings:",
changedCores)
for k, v in args.iteritems():
logging.info(" %s: %r", k, v)
# Actually initialize the monitor variables
mon.initMonitor(task=task,
job=wmbsJob,
logPath=self.logPath,
args=args)
self._Monitors.append(mon)
return
def setupMonitors(self, task, wmbsJob):
logging.info("In Watchdog.setupMonitors")
if not hasattr(task.data, 'watchdog'):
msg = "Could not find watchdog in spec"
logging.error(msg)
# I don't think this is necessarily fatal
return
if not hasattr(task.data.watchdog, 'monitors'):
msg = "Watchdog has no monitors"
logging.error(msg)
# Probably not fatal either
return
if hasattr(task.data.watchdog, 'interval'):
# Set the interval off the config
self.setInterval(task.data.watchdog.interval)
for monitor in task.data.watchdog.monitors:
msg = "Initializing monitor %s" % monitor
logging.info(msg)
mon = self.loadMonitor(monitor)
args = {}
if hasattr(task.data.watchdog, monitor):
# This should be a config section
monitorArgs = getattr(task.data.watchdog, monitor)
args = monitorArgs.dictionary_()
if monitor == 'PerformanceMonitor' and args:
# Apply tweaks to PerformanceMonitor only.
# Scale resources according to the HTCondor runtime environment.
origCores = 1
for stepName in task.listAllStepNames():
sh = task.getStepHelper(stepName)
origCores = max(origCores, sh.getNumberOfCores())
resources = {'cores': origCores}
origMaxRSS = args.get('maxRSS')
### TODO: keep only the else clause after ~HG1805
if origMaxRSS and origMaxRSS > 100 * 1000: # in case MaxRSS is in KB
origMaxRSS = int(origMaxRSS / 1024.) # HTCondor expects MB; we get KB.
resources['memory'] = origMaxRSS
elif origMaxRSS:
resources['memory'] = origMaxRSS # then it's already in MB
# Actually parses the HTCondor runtime
resizeResources(resources)
# We decided to only touch Watchdog settings if the number of cores changed.
# (even if this means the watchdog memory is wrong for a slot this size).
changedCores = origCores != resources['cores']
# HTCondor doesn't explicitly scale VSize; it's also not clear what
# resources this manages (as we already watch the memory use) or how
# it should relate to other resources (such as memory or cores used).
# Hence, we simply remove it if we change anything about the memory.
# If we did base maxRSS off the memory in the HTCondor slot, subtract a bit
# off the top so watchdog triggers before HTCondor does.
# Add the new number of cores to the args such that DashboardInterface can see it
args['cores'] = resources['cores']
if changedCores:
if origMaxRSS:
args.pop('maxVSize', None)
args['maxRSS'] = resources['memory'] - 50
logging.info("Watchdog modified: %s. Final settings:", changedCores)
for k, v in args.iteritems():
logging.info(" %s: %r", k, v)
# Actually initialize the monitor variables
mon.initMonitor(task=task, job=wmbsJob,
logPath=self.logPath, args=args)
self._Monitors.append(mon)
return