def cleanupTask(task):
# cleanup task at hand
# ----------------------------------------------------------------------------------------------
# Get all parameters for the production
# ----------------------------------------------------------------------------------------------
cleaner = Cleaner(task)
cleaner.logCleanup()
print ''
return
else:
scheduler = Scheduler(
'submit.mit.edu', os.getenv('KRAKEN_REMOTE_USER', 'paus'),
'/work/%s' % (os.getenv('KRAKEN_REMOTE_USER', 'paus')), nJobsMax)
# Generate the request
request = Request(scheduler, sample, config, version, py)
# Create the corresponding condor task
task = Task(condorId, request)
# Cleaning up only when you nwant to (careful cleanup only works as agent)
if not noCleanup:
# Quick analysis of ongoing failures and related logfile cleanup
cleaner = Cleaner(task)
cleaner.logCleanup()
# Prepare the environment
if len(task.sample.missingJobs) > 0:
# Make the local/remote directories
task.createDirectories()
task.makeTarBall()
# Make the submit file
task.writeCondorSubmit()
# Submit this job
task.condorSubmit()
# Make it clean
