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condor_utils.py
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from __future__ import print_function
import os
import glob
import gzip
from optparse import OptionParser
from datetime import datetime,timedelta
import time
import logging
import classad
now = datetime.utcnow()
zero = datetime.utcfromtimestamp(0).isoformat()
good_keys = {
'JobStatus':0.,
'Cmd':'',
'Owner':'',
'AccountingGroup':'',
'ImageSize_RAW':0.,
'DiskUsage_RAW':0.,
'ExecutableSize_RAW':0.,
'BytesSent':0.,
'BytesRecvd':0.,
'ResidentSetSize_RAW':0.,
'RequestCpus':1.,
'Requestgpus':0.,
'RequestMemory':1000.,
'RequestDisk':1000000.,
'NumJobStarts':0.,
'NumShadowStarts':0.,
'GlobalJobId':'',
'ClusterId':0.,
'ProcId':0.,
'ExitBySignal':False,
'ExitCode':0.,
'ExitSignal':0.,
'ExitStatus':0.,
'CumulativeSlotTime':0.,
'LastRemoteHost':'',
'QDate':now,
'JobStartDate':now,
'JobCurrentStartDate':now,
'EnteredCurrentStatus':now,
'RemoteUserCpu':0.,
'RemoteSysCpu':0.,
'CompletionDate':now,
'CommittedTime':0.,
'RemoteWallClockTime':0.,
'MATCH_EXP_JOBGLIDEIN_ResourceName':'other',
'MachineAttrGLIDEIN_SiteResource0':'other',
'MachineAttrGPU_NAMES0':'',
'StartdPrincipal':'',
'DAGManJobId':0.,
'LastJobStatus':0.,
'LastVacateTime':0.,
'LastMatchTime':0.,
'JobLastStartDate':0.,
'LastHoldReason':'',
'LastRemotePool':'',
'PRESIGNED_GET_URL':''
}
key_types = {
'number': ['AutoClusterId','BlockReadBytes','BlockReadKbytes','BlockReads',
'BlockWriteBytes','BlockWriteKbytes','BufferBlockSize','BufferSize',
'BytesRecvd','BytesSent','ClusterId','CommittedSlotTime','CommittedSuspensionTime',
'CommittedTime','CompletionDate','CoreSize','CumulativeSlotTime','CumulativeSuspensionTime',
'CurrentHosts','DiskUsage','DiskUsage_RAW','EnteredCurrentStatus','ExecutableSize',
'ExecutableSize_RAW','ExitCode','ExitStatus','ImageSize','ImageSize_RAW',
'JobCurrentStartDate','JobCurrentStartExecutingDate','JobFinishedHookDone',
'JobLeaseDuration','JobLeaseExpiration','JobNotification','JobPrio','JobRunCount','JobStartDate',
'JobStatus','JobUniverse','LastJobLeaseRenewal','LastJobStatus','LastMatchTime','JobLastStartDate',
'LastSuspensionTime','LastVacateTime','LocalSysCpu','LocalUserCpu','MachineAttrCpus0','MachineAttrSlotWeight0',
'MaxHosts','MinHosts','NumCkpts','NumCkpts_RAW','NumJobMatches','NumJobStarts',
'NumRestarts','NumShadowStarts','NumSystemHolds','OrigMaxHosts','ProcId','QDate',
'Rank','RecentBlockReadBytes','RecentBlockReadKbytes','RecentBlockReads',
'RecentBlockWriteBytes','RecentBlockWriteKbytes','RecentBlockWrites',
'RecentStatsLifetimeStarter','RecentStatsTickTimeStarter','RecentWindowMaxStarter',
'RemoteSysCpu','RemoteUserCpu','RemoteWallClockTime','RequestCpus','RequestDisk',
'RequestMemory','Requestgpus','ResidentSetSize','ResidentSetSize_RAW',
'StatsLastUpdateTimeStarter','StatsLifetimeStarter','TotalSuspensions',
'TransferInputSizeMB'],
'bool': ['EncryptExecuteDirectory','ExitBySignal','LeaveJobInQueue','NiceUser','OnExitHold',
'OnExitRemove','PeriodicHold','PeriodicRelease','StreamErr','StreamOut',
'TerminationPending','TransferIn','WantCheckpoint','WantRemoteIO',
'WantRemoteSyscalls','wantglidein','wantrhel6'],
}
reserved_ips = {
'18.12': 'MIT',
'23.22': 'AWS',
'35.9': 'MSU',
'40.78': 'Azure',
'40.112': 'Azure',
'50.16': 'AWS',
'50.17': 'AWS',
'54.144': 'AWS',
'54.145': 'AWS',
'54.157': 'AWS',
'54.158': 'AWS',
'54.159': 'AWS',
'54.161': 'AWS',
'54.163': 'AWS',
'54.166': 'AWS',
'54.167': 'AWS',
'54.197': 'AWS',
'54.204': 'AWS',
'54.205': 'AWS',
'54.211': 'AWS',
'54.227': 'AWS',
'54.243': 'AWS',
'72.36': 'Illinois',
'128.9': 'osgconnect',
'128.55': 'Berkeley',
'128.84': 'NYSGRID_CORNELL_NYS1',
'128.104': 'CHTC',
'128.105': 'CHTC',
'128.118': 'Bridges',
'128.120': 'UCD',
'128.205': 'osgconnect',
'128.211': 'Purdue-Hadoop',
'128.227': 'FLTech',
'128.230': 'Syracuse',
'129.74': 'NWICG_NDCMS',
'129.93': 'Nebraska',
'129.105': 'NUMEP-OSG',
'129.107': 'UTA_SWT2',
'129.119': 'SU-OG',
'129.128': 'illume',
'129.130': 'Kansas',
'129.217': 'LIDO_Dortmund',
'130.74': 'Miss',
'130.127': 'Clemson-Palmetto',
'130.199': 'BNL-ATLAS',
'131.94': 'FLTECH',
'131.215': 'CIT_CMS_T2',
'131.225': 'USCMS-FNAL-WC1',
'132.206': 'CA-MCGILL-CLUMEQ-T2',
'133.82': 'Chiba',
'134.93': 'mainz',
'136.145': 'osgconnect',
'137.99': 'UConn-OSG',
'137.135': 'Azure',
'138.23': 'UCRiverside',
'138.91': 'Azure',
'141.34': 'DESY-HH',
'142.150': 'CA-SCINET-T2',
'142.244': 'Alberta',
'144.92': 'HEP_WISC',
'149.165': 'Indiana',
'155.101': 'Utah',
'163.118': 'FLTECH',
'169.228': 'UCSDT2',
'171.67': 'HOSTED_STANFORD',
'174.129': 'AWS',
'184.73': 'AWS',
'192.5': 'Boston',
'192.12': 'Colorado',
'192.41': 'AGLT2',
'192.84': 'Ultralight',
'192.168': None,
'192.170': 'MWT2',
'193.58': 'T2B_BE_IIHE',
'193.190': 'T2B_BE_IIHE',
'198.32': 'osgconnect',
'198.48': 'Hyak',
'198.202': 'Comet',
'200.136': 'SPRACE',
'200.145': 'SPRACE',
'206.12': 'CA-MCGILL-CLUMEQ-T2',
'216.47': 'MWT2',
}
reserved_ips.update({'10.%d'%i:None for i in range(256)})
reserved_ips.update({'172.%d'%i:None for i in range(16,32)})
reserved_domains = {
'aglt2.org': 'AGLT2',
'bridges.psc.edu': 'Bridges',
'campuscluster.illinois.edu': 'Illinois',
'cl.iit.edu': 'MWT2',
'cm.cluster': 'LIDO_Dortmund',
'cmsaf.mit.edu': 'MIT',
'colorado.edu': 'Colorado',
'cpp.ualberta.ca': 'Alberta',
'crc.nd.edu': 'NWICG_NDCMS',
'cci.wisc.edu': 'CHTC',
'chtc.wisc.edu': 'CHTC',
'cs.wisc.edu': 'CS_WISC',
'cse.buffalo.edu': 'osgconnect',
'discovery.wisc.edu': 'CHTC',
'ec2.internal': 'AWS',
'ember.arches': 'Utah',
'fnal.gov': 'USCMS-FNAL-WC1',
'grid.tu-dortmund.de': 'LIDO_Dortmund',
'guillimin.clumeq.ca': 'Guillimin',
'hcc.unl.edu': 'Crane',
'hep.caltech.edu': 'CIT_CMS_T2',
'hep.int': 'osgconnect',
'hep.olemiss.edu': 'Miss',
'hep.wisc.edu': 'HEP_WISC',
'icecube.wisc.edu': 'NPX',
'ics.psu.edu': 'Bridges',
'iihe.ac.be': 'T2B_BE_IIHE',
'illume.systems': 'illume',
'internal.cloudapp.net': 'osgconnect',
'isi.edu': 'osgconnect',
'iu.edu': 'Indiana',
'lidocluster.hp': 'LIDO_Dortmund',
'math.wisc.edu': 'MATH_WISC',
'mwt2.org': 'MWT2',
'msu.edu': 'MSU',
'nut.bu.edu': 'Boston',
'palmetto.clemson.edu': 'Clemson-Palmetto',
'panther.net': 'FLTECH',
'phys.uconn.edu': 'UConn-OSG',
'rcac.purdue.edu': 'Purdue-Hadoop',
'research.northwestern.edu': 'NUMEP-OSG',
'sdsc.edu': 'Comet',
'stat.wisc.edu': 'CHTC',
't2.ucsd.edu': 'UCSDT2',
'tier3.ucdavis.edu':'UCD',
'unl.edu': 'Nebraska',
'uppmax.uu.se': 'Uppsala',
'usatlas.bnl.gov': 'BNL-ATLAS',
'wisc.cloudlab.us': 'CLOUD_WISC',
'wisc.edu': 'WISC',
'zeuthen.desy.de': 'DESY-ZN',
}
site_names = {
'DESY-ZN': 'DE-DESY',
'DESY-HH': 'DE-DESY',
'DESY': 'DE-DESY',
'Brussels': 'BE-IIHE',
'T2B_BE_IIHE': 'BE-IIHE',
'BEgrid-ULB-VUB': 'BE-IIHE',
'Guillimin': 'CA-McGill',
'CA-MCGILL-CLUMEQ-T2': 'CA-McGill',
'mainz': 'DE-Mainz',
'mainzgrid': 'DE-Mainz',
'CA-SCINET-T2': 'CA-Toronto',
'Alberta': 'CA-Alberta',
'parallel': 'CA-Alberta',
'jasper': 'CA-Alberta',
'illume': 'CA-Alberta',
'illume-new': 'CA-Alberta',
'Cedar': 'CA-SFU',
'RWTH-Aachen': 'DE-Aachen',
'aachen': 'DE-Aachen',
'wuppertalprod': 'DE-Wuppertal',
'TUM': 'DE-Munich',
'Uppsala': 'SE-Uppsala',
'Bartol': 'US-Bartol',
'UNI-DORTMUND': 'DE-Dortmund',
'LIDO_Dortmund': 'DE-Dortmund',
'PHIDO_Dortmund': 'DE-Dortmund',
'LIDO3_Dortmund_TEST': 'DE-Dortmund',
'UKI-NORTHGRID-MAN-HEP': 'UK-Manchester',
'UKI-LT2-QMUL': 'UK-Manchester',
'Bridges': 'XSEDE-Bridges',
'Comet': 'XSEDE-Comet',
'HOSTED_STANFORD': 'XSEDE-XStream',
'Xstream': 'XSEDE-XStream',
'xstream': 'XSEDE-XStream',
'NPX': 'US-NPX',
'GZK': 'US-GZK',
'CHTC': 'US-CHTC',
'Marquette': 'US-Marquette',
'UMD': 'US-UMD',
'MSU': 'US-MSU',
'msu': 'US-MSU',
'PSU': 'US-PSU',
'Japan': 'JP-Chiba',
'Chiba': 'JP-Chiba',
}
def get_site_from_domain(hostname):
parts = hostname.lower().split('.')
ret = None
if '.'.join(parts[-3:]) in reserved_domains:
ret = reserved_domains['.'.join(parts[-3:])]
elif '.'.join(parts[-2:]) in reserved_domains:
ret = reserved_domains['.'.join(parts[-2:])]
return ret
def get_site_from_ip_range(ip):
parts = ip.split('.')
ret = None
if len(parts) == 4 and all(p.isdigit() for p in parts):
if '.'.join(parts[:2]) in reserved_ips:
ret = reserved_ips['.'.join(parts[:2])]
return ret
def date_from_string(s):
if '.' in s:
return datetime.strptime(s, '%Y-%m-%dT%H:%M:%S.%f')
else:
return datetime.strptime(s, '%Y-%m-%dT%H:%M:%S')
def filter_keys(data):
# RequestGPUs comes in many cases
for k in ['RequestGpus', 'RequestGPUs']:
if k in data:
data['Requestgpus'] = data[k]
for k in data.keys():
if k not in good_keys:
del data[k]
for k in good_keys:
if k not in data:
data[k] = good_keys[k]
if isinstance(good_keys[k],bool):
try:
data[k] = bool(data[k])
except:
logging.info('bad bool [%s]: %r', k, data[k], exc_info=True)
data[k] = good_keys[k]
elif isinstance(good_keys[k],(float,int)):
try:
data[k] = float(data[k])
except:
logging.info('bad float/int [%s]: %r', k, data[k], exc_info=True)
data[k] = good_keys[k]
elif isinstance(good_keys[k],datetime):
try:
data[k] = datetime.utcfromtimestamp(data[k]).isoformat()
except:
logging.info('bad date [%s]: %r', k, data[k], exc_info=True)
data[k] = zero
else:
data[k] = str(data[k])
def is_bad_site(data):
if 'MATCH_EXP_JOBGLIDEIN_ResourceName' not in data:
return True
site = data['MATCH_EXP_JOBGLIDEIN_ResourceName']
if site in ('other','osgconnect','xsede-osg','WIPAC','wipac'):
return True
if '.' in site:
return True
if site.startswith('gzk9000') or site.startswith('gzk-'):
return True
return False
def add_classads(data):
"""Add extra classads to a condor job
Args:
data (dict): a classad dict for a single job
"""
filter_keys(data)
# fix site
bad_site = is_bad_site(data)
if bad_site:
if 'LastRemoteHost' in data:
site = get_site_from_domain(data['LastRemoteHost'].split('@')[-1])
if site:
data['MATCH_EXP_JOBGLIDEIN_ResourceName'] = site
elif 'StartdPrincipal' in data:
site = get_site_from_ip_range(data['StartdPrincipal'].split('/')[-1])
if site:
data['MATCH_EXP_JOBGLIDEIN_ResourceName'] = site
data['@timestamp'] = datetime.utcnow().isoformat()
# add completion date
if data['CompletionDate'] != zero and data['CompletionDate']:
data['date'] = data['CompletionDate']
elif data['EnteredCurrentStatus'] != zero and data['EnteredCurrentStatus']:
data['date'] = data['EnteredCurrentStatus']
else:
data['date'] = datetime.utcnow().isoformat()
# add queued time
if data['JobCurrentStartDate'] != zero and data['JobCurrentStartDate']:
data['queue_time'] = date_from_string(data['JobCurrentStartDate']) - date_from_string(data['QDate'])
else:
data['queue_time'] = datetime.now() - date_from_string(data['QDate'])
data['queue_time'] = data['queue_time'].total_seconds()/3600.
# add used time
if 'RemoteWallClockTime' in data:
data['totalwalltimehrs'] = data['RemoteWallClockTime']/3600.
else:
data['totalwalltimehrs'] = 0.
if 'CommittedTime' in data and data['CommittedTime']:
data['walltimehrs'] = data['CommittedTime']/3600.
elif ('LastVacateTime' in data and data['LastVacateTime']
and 'JobLastStartDate' in data and data['JobLastStartDate']):
data['walltimehrs'] = (data['LastVacateTime']-data['JobLastStartDate'])/3600.
else:
data['walltimehrs'] = 0.
# add site
if data['MATCH_EXP_JOBGLIDEIN_ResourceName'] in site_names:
data['site'] = site_names[data['MATCH_EXP_JOBGLIDEIN_ResourceName']]
else:
data['site'] = 'other'
# Add gpuhrs and cpuhrs
data['gpuhrs'] = data.get('Requestgpus', 0.) * data['walltimehrs']
data['cpuhrs'] = data.get('RequestCpus', 0.) * data['walltimehrs']
# add retry hours
data['retrytimehrs'] = data['totalwalltimehrs'] - data['walltimehrs']
def classad_to_dict(c):
ret = {}
for k in c.keys():
try:
ret[k] = c.eval(k)
except TypeError:
ret[k] = c[k]
return ret
def read_from_file(filename):
"""Read condor classads from file.
A generator that yields condor job dicts.
Args:
filename (str): filename to read
"""
with (gzip.open(filename) if filename.endswith('.gz') else open(filename)) as f:
entry = ''
for line in f.readlines():
if line.startswith('***'):
try:
c = classad.parseOne(entry)
yield classad_to_dict(c)
entry = ''
except:
entry = ''
else:
entry += line+'\n'
def read_from_collector(address, history=False):
"""Connect to condor collectors and schedds to pull job ads directly.
A generator that yields condor job dicts.
Args:
address (str): address of collector
history (bool): read history (True) or active queue (default: False)
"""
import htcondor
coll = htcondor.Collector(address)
schedd_ads = coll.locateAll(htcondor.DaemonTypes.Schedd)
for schedd_ad in schedd_ads:
logging.info('getting job ads from %s', schedd_ad['Name'])
schedd = htcondor.Schedd(schedd_ad)
try:
i = 0
if history:
start_dt = datetime.now()-timedelta(minutes=10)
start_stamp = time.mktime(start_dt.timetuple())
gen = schedd.history('EnteredCurrentStatus >= {0}'.format(start_stamp),[],10000)
else:
gen = schedd.query()
for i,entry in enumerate(gen):
yield classad_to_dict(entry)
logging.info('got %d entries', i)
except Exception:
logging.info('%s failed', schedd_ad['Name'], exc_info=True)