def _setup_bulk_subjobs(self, dirac_ids, dirac_script):
"""
This is the old bulk submit method which is used to construct the subjobs for a parametric job
Args:
dirac_ids (list): This is a list of the Dirac ids which have been created
dirac_script (str): Name of the dirac script which contains the job jdl
"""
f = open(dirac_script, 'r')
parametric_datasets = get_parametric_datasets(f.read().split('\n'))
f.close()
if len(parametric_datasets) != len(dirac_ids):
raise BackendError(
'Dirac',
'Missmatch between number of datasets defines in dirac API script and those returned by DIRAC'
)
master_job = self.getJobObject()
master_job.subjobs = []
for i in range(len(dirac_ids)):
j = Job()
j.copyFrom(master_job)
j.splitter = None
j.backend.id = dirac_ids[i]
j.id = i
j.inputdata = self._setup_subjob_dataset(parametric_datasets[i])
j.status = 'submitted'
j.time.timenow('submitted')
master_job.subjobs.append(j)
return True
def master_updateMonitoringInformation(jobs):
"""Updates the statuses of the list of jobs provided by issuing crab -status."""
logger.info('Updating the monitoring information of ' + str(len(jobs)) + ' jobs')
try:
from Ganga.GPIDev.Lib.Job.Job import Job
import sys, traceback
for j in jobs:
server = CRABServer()
logger.debug('Updating monitoring information for job %d (%s)' % (j.id, j.status))
try:
dictresult, status, reason = server.status(j)
logger.info('CRAB3 server call answer status: %s - reason: %s' % (status, reason))
joblist = sorted(dictresult['result'][0]['jobList'], key=lambda x:x[1])
except KeyError:
logger.info('Get status for job %d didn\'t return job list, skipping job for now.' % j.id)
continue
except:
logger.error('Get status for job %d failed, skipping.' % j.id)
raise
if joblist:
logger.info('There are subjob statuses for job %s' % j.id)
logger.info('j: %s' % dir(j))
if not j.subjobs:
logger.warning('No subjob object for job %s' % j.id)
j.subjobs = []
for i in xrange(len(joblist)):
subjob = joblist[i]
index = int(subjob[1])
logger.info('Processing subjob %d, %s' % (index, subjob))
sj = Job()
sj.copyFrom(j)
sj.backend.crabid = index
sj.id = i
sj.updateStatus('submitting')
sj.backend.checkReport(subjob)
sj.backend.checkStatus()
j.subjobs.append(sj)
#j.subjobs = sorted(j.subjobs, key=lambda x: x.backend.id)
#j._commit()
else:
for subjob in joblist:
index = int(subjob[1])
logger.debug('Found subjob %s searching with index %s' % (j.subjobs[index-1].backend.crabid, index))
j.subjobs[index-1].backend.checkReport(subjob)
j.subjobs[index-1].backend.checkStatus()
j.updateMasterJobStatus()
else:
logger.info('There are no subjobs for job %s' % (j.id))
logger.info('checking task status from report: %s' % dictresult['result'][0]['status'])
taskstatus = dictresult['result'][0]['status']
if taskstatus in ['FAILED']:
logger.info('Job failed: %s' % dictresult)
j.updateStatus('failed')
except Exception as e:
logger.error(e)
traceback.print_exc(file=sys.stdout)
def _setup_bulk_subjobs(self, dirac_ids, dirac_script):
"""
This is the old bulk submit method which is used to construct the subjobs for a parametric job
Args:
dirac_ids (list): This is a list of the Dirac ids which have been created
dirac_script (str): Name of the dirac script which contains the job jdl
"""
f = open(dirac_script, 'r')
parametric_datasets = get_parametric_datasets(f.read().split('\n'))
f.close()
if len(parametric_datasets) != len(dirac_ids):
raise BackendError('Dirac', 'Missmatch between number of datasets defines in dirac API script and those returned by DIRAC')
from Ganga.GPIDev.Lib.Job.Job import Job
master_job = self.getJobObject()
master_job.subjobs = []
for i in range(len(dirac_ids)):
j = Job()
j.copyFrom(master_job)
j.splitter = None
j.backend.id = dirac_ids[i]
j.id = i
j.inputdata = self._setup_subjob_dataset(parametric_datasets[i])
j.status = 'submitted'
j.time.timenow('submitted')
master_job.subjobs.append(j)
return True
def master_setup_bulk_subjobs(self, jobs, jdefids):
from Ganga.GPIDev.Lib.Job.Job import Job
master_job=self.getJobObject()
for i in range(len(jdefids)):
j=Job()
j.copyFrom(master_job)
j.splitter = None
j.backend=Panda()
j.backend.id = jdefids[i]
j.id = i
j.status = 'submitted'
j.time.timenow('submitted')
master_job.subjobs.append(j)
return True
def master_setup_bulk_subjobs(self, jobs, jdefids):
from Ganga.GPIDev.Lib.Job.Job import Job
master_job = self.getJobObject()
for i in range(len(jdefids)):
j = Job()
j.copyFrom(master_job)
j.splitter = None
j.backend = Panda()
j.backend.id = jdefids[i]
j.id = i
j.status = 'submitted'
j.time.timenow('submitted')
master_job.subjobs.append(j)
return True
def _setup_bulk_subjobs(self, dirac_ids, dirac_script):
f = open(dirac_script, 'r')
parametric_datasets = get_parametric_datasets(f.read().split('\n'))
f.close()
if len(parametric_datasets) != len(dirac_ids):
raise BackendError('Dirac', 'Missmatch between number of datasets defines in dirac API script and those returned by DIRAC')
from Ganga.GPIDev.Lib.Job.Job import Job
master_job = self.getJobObject()
for i in range(len(dirac_ids)):
j = Job()
j.copyFrom(master_job)
j.splitter = None
j.backend.id = dirac_ids[i]
j.id = i
j.inputdata = self._setup_subjob_dataset(parametric_datasets[i])
j.status = 'submitted'
j.time.timenow('submitted')
master_job.subjobs.append(j)
master_job._commit()
return True
def _setup_bulk_subjobs(self, dirac_ids, dirac_script):
f = open(dirac_script, 'r')
parametric_datasets = get_parametric_datasets(f.read().split('\n'))
f.close()
if len(parametric_datasets) != len(dirac_ids):
raise BackendError('Dirac', 'Missmatch between number of datasets defines in dirac API script and those returned by DIRAC')
from Ganga.GPIDev.Lib.Job.Job import Job
master_job = self.getJobObject()
master_job.subjobs = []
for i in range(len(dirac_ids)):
j = Job()
j.copyFrom(master_job)
j.splitter = None
j.backend.id = dirac_ids[i]
j.id = i
j.inputdata = self._setup_subjob_dataset(parametric_datasets[i])
j.status = 'submitted'
j.time.timenow('submitted')
master_job.subjobs.append(j)
master_job._commit()
return True
def master_updateMonitoringInformation(jobs):
"""Updates the statuses of the list of jobs provided by issuing crab -status."""
logger.info('Updating the monitoring information of ' +
str(len(jobs)) + ' jobs')
try:
from Ganga.GPIDev.Lib.Job.Job import Job
import sys, traceback
for j in jobs:
server = CRABServer()
logger.debug(
'Updating monitoring information for job %d (%s)' %
(j.id, j.status))
try:
dictresult, status, reason = server.status(j)
logger.info(
'CRAB3 server call answer status: %s - reason: %s' %
(status, reason))
joblist = sorted(dictresult['result'][0]['jobList'],
key=lambda x: x[1])
except KeyError:
logger.info(
'Get status for job %d didn\'t return job list, skipping job for now.'
% j.id)
continue
except:
logger.error('Get status for job %d failed, skipping.' %
j.id)
raise
if joblist:
logger.info('There are subjob statuses for job %s' % j.id)
logger.info('j: %s' % dir(j))
if not j.subjobs:
logger.warning('No subjob object for job %s' % j.id)
j.subjobs = []
for i in xrange(len(joblist)):
subjob = joblist[i]
index = int(subjob[1])
logger.info('Processing subjob %d, %s' %
(index, subjob))
sj = Job()
sj.copyFrom(j)
sj.backend.crabid = index
sj.id = i
sj.updateStatus('submitting')
sj.backend.checkReport(subjob)
sj.backend.checkStatus()
j.subjobs.append(sj)
#j.subjobs = sorted(j.subjobs, key=lambda x: x.backend.id)
#j._commit()
else:
for subjob in joblist:
index = int(subjob[1])
logger.debug(
'Found subjob %s searching with index %s' %
(j.subjobs[index - 1].backend.crabid, index))
j.subjobs[index - 1].backend.checkReport(subjob)
j.subjobs[index - 1].backend.checkStatus()
j.updateMasterJobStatus()
else:
logger.info('There are no subjobs for job %s' % (j.id))
logger.info('checking task status from report: %s' %
dictresult['result'][0]['status'])
taskstatus = dictresult['result'][0]['status']
if taskstatus in ['FAILED']:
logger.info('Job failed: %s' % dictresult)
j.updateStatus('failed')
except Exception as e:
logger.error(e)
traceback.print_exc(file=sys.stdout)
def master_updateMonitoringInformation(jobs):
"""Updates the statuses of the list of jobs provided by issuing crab -status."""
logger.info('Updating the monitoring information of ' + str(len(jobs)) + ' jobs')
from CRABAPI.RawCommand import crabCommand
from CRABClient.ClientExceptions import ConfigurationException
import httplib
for j in jobs:
logger.info('Updating monitoring information for job %d (%s)' % (j.id, j.status))
if not j.backend.requestname:
logger.warning("Couldn't find request name for job %s. Skipping" % s)
continue
crab_work_dir = os.path.join(j.outputdir, j.backend.requestname)
logger.info('crab_work_dir: %s' % crab_work_dir)
statusresult = {}
try:
statusresult = crabCommand('status', dir = crab_work_dir, proxy = '/data/hc/apps/cms/config/x509up_production2', long=True)
logger.info("CRAB3 Status result: %s" % statusresult)
except httplib.HTTPException as e:
logger.error(e.result)
except ConfigurationException as ce:
# From CRAB3 error message: Error loading CRAB cache file. Try to do 'rm -rf /root/.crab3' and run the crab command again.
import subprocess
import uuid
randomstring = str(uuid.uuid4().get_hex().upper()[0:6])
subprocess.call(["mv", "/root/.crab3", "/tmp/.crab3."+randomstring])
try:
statusresult = crabCommand('status', dir = crab_work_dir, proxy = '/data/hc/apps/cms/config/x509up_production2', long=True)
logger.info("CRAB3 Status result: %s" % statusresult)
except httplib.HTTPException as e:
logger.error(e.headers)
logger.error(e.result)
try:
jobsdict = statusresult['jobs']
except KeyError:
jobsdict = {}
if jobsdict:
logger.info('There are subjob statuses for job %s' % j.id)
if not j.subjobs:
logger.warning('No subjob object for job %s' % j.id)
subjoblist = [None] * len(jobsdict)
#j.subjobs = [None] * len(jobsdict)
#subjob_index = 0
for crabid, status in jobsdict.items():
crabid = int(crabid)
jobstatus = status['State']
logger.info('Creating subjob')
sj = Job()
sj.copyFrom(j)
sj.backend.crabid = crabid
sj.inputdata = None
sj.id = crabid-1
sj.updateStatus('submitting')
sj.backend.updateSubjobStatus(status)
subjoblist[crabid-1] = sj
for newsubjob in subjoblist:
j.subjobs.append(newsubjob)
logger.info('New subjobs for job %s: %s' % (j.id, j.subjobs))
#j.subjobs.sort(key=lambda subjob: subjob.id)
else:
for crabid, status in jobsdict.items():
crabid = int(crabid)
j.subjobs[crabid-1].backend.updateSubjobStatus(status)
#j.updateStatus('running')
else:
logger.info('There are no subjobs for job %s' % (j.id))
#logger.info('Checking task status from report: %s' % statusresult['status'])
logger.info('Checking task status from report')
try:
taskstatus = statusresult['status']
if taskstatus in ['FAILED', 'SUBMITFAILED']:
logger.info('Job failed: %s' % taskstatus)
j.updateStatus('failed')
except KeyError:
pass
