def testAlertsMessagingBasic(self):
config = getConfig("/tmp")
self.assertTrue(hasattr(config, "Alert"))
# initialization
# sender: instance of Alert messages Sender
# preAlert: pre-defined values for Alert instances generated from this class
self.config = config # needed in setUpAlertsMessaging
preAlert, sender = alertAPI.setUpAlertsMessaging(self,
compName = "testBasic")
sendAlert = alertAPI.getSendAlert(sender = sender,
preAlert = preAlert)
# set up a temporary alert message receiver
handler, receiver = utils.setUpReceiver(config.Alert.address,
config.Alert.controlAddr)
# test sending alert
msg = "this is my message Basic"
sendAlert(100, msg = msg)
# wait for the alert to arrive
while len(handler.queue) == 0:
time.sleep(0.3)
print "%s waiting for alert to arrive ..." % inspect.stack()[0][3]
self.assertEqual(len(handler.queue), 1)
alert = handler.queue[0]
self.assertEqual(alert["Component"], "testBasic")
self.assertEqual(alert["Level"], 100)
self.assertEqual(alert["Source"], self.__class__.__name__)
self.assertEqual(alert["Details"]["msg"], msg)
sender.unregister()
receiver.shutdown()
def testAlertsMessagingBasic(self):
config = getConfig("/tmp")
self.assertTrue(hasattr(config, "Alert"))
# initialization
# sender: instance of Alert messages Sender
# preAlert: pre-defined values for Alert instances generated from this class
self.config = config # needed in setUpAlertsMessaging
preAlert, sender = alertAPI.setUpAlertsMessaging(self,
compName="testBasic")
sendAlert = alertAPI.getSendAlert(sender=sender, preAlert=preAlert)
# set up a temporary alert message receiver
handler, receiver = utils.setUpReceiver(config.Alert.address,
config.Alert.controlAddr)
# test sending alert
msg = "this is my message Basic"
sendAlert(100, msg=msg)
# wait for the alert to arrive
while len(handler.queue) == 0:
time.sleep(0.3)
print "%s waiting for alert to arrive ..." % inspect.stack()[0][3]
self.assertEqual(len(handler.queue), 1)
alert = handler.queue[0]
self.assertEqual(alert["Component"], "testBasic")
self.assertEqual(alert["Level"], 100)
self.assertEqual(alert["Source"], self.__class__.__name__)
self.assertEqual(alert["Details"]["msg"], msg)
sender.unregister()
receiver.shutdown()
def initAlerts(self, compName=None):
"""
_initAlerts_
Setup the alerts for the rest of the system.
sender: instance of the Alert messages Sender
sendAlert: the code what sends the actual Alerts
(documented in WMCore/Alerts/APIgetSendAlert)
note:
Tests are done in the API_t belonging to Alerts fw.
This particular method is called from a number of
components and some have particular tests on alerts sending.
"""
if not compName:
compName = self.__class__.__name__
preAlert, sender = alertAPI.setUpAlertsMessaging(self,
compName=compName)
sendAlert = alertAPI.getSendAlert(sender=sender, preAlert=preAlert)
self.sender = sender
self.sendAlert = sendAlert
def initAlerts(self, compName = None):
"""
_initAlerts_
Setup the alerts for the rest of the system.
sender: instance of the Alert messages Sender
sendAlert: the code what sends the actual Alerts
(documented in WMCore/Alerts/APIgetSendAlert)
note:
Tests are done in the API_t belonging to Alerts fw.
This particular method is called from a number of
components and some have particular tests on alerts sending.
"""
if not compName:
compName = self.__class__.__name__
preAlert, sender = alertAPI.setUpAlertsMessaging(self,
compName = compName)
sendAlert = alertAPI.getSendAlert(sender = sender,
preAlert = preAlert)
self.sender = sender
self.sendAlert = sendAlert
def submit(self, jobs, info):
"""
_submit_
Submit jobs for one subscription
"""
# If we're here, then we have submitter components
self.scriptFile = self.config.JobSubmitter.submitScript
self.submitDir = self.config.JobSubmitter.submitDir
timeout = getattr(self.config.JobSubmitter, 'getTimeout', 400)
successfulJobs = []
failedJobs = []
jdlFiles = []
if len(jobs) == 0:
# Then was have nothing to do
return successfulJobs, failedJobs
if len(self.pool) == 0:
# Starting things up
# This is obviously a submit API
logging.info("Starting up CondorPlugin worker pool")
self.input = multiprocessing.Queue()
self.result = multiprocessing.Queue()
for x in range(self.nProcess):
p = multiprocessing.Process(target = submitWorker,
args = (self.input, self.result, timeout))
p.start()
self.pool.append(p)
if not os.path.exists(self.submitDir):
os.makedirs(self.submitDir)
# Now assume that what we get is the following; a mostly
# unordered list of jobs with random sandboxes.
# We intend to sort them by sandbox.
submitDict = {}
nSubmits = 0
for job in jobs:
sandbox = job['sandbox']
if not sandbox in submitDict.keys():
submitDict[sandbox] = []
submitDict[sandbox].append(job)
# Now submit the bastards
queueError = False
for sandbox in submitDict.keys():
jobList = submitDict.get(sandbox, [])
idList = [x['jobid'] for x in jobList]
if queueError:
# If the queue has failed, then we must not process
# any more jobs this cycle.
continue
while len(jobList) > 0:
jobsReady = jobList[:self.config.JobSubmitter.jobsPerWorker]
jobList = jobList[self.config.JobSubmitter.jobsPerWorker:]
idList = [x['id'] for x in jobsReady]
jdlList = self.makeSubmit(jobList = jobsReady)
if not jdlList or jdlList == []:
# Then we got nothing
logging.error("No JDL file made!")
return {'NoResult': [0]}
jdlFile = "%s/submit_%i_%i.jdl" % (self.submitDir, os.getpid(), idList[0])
handle = open(jdlFile, 'w')
handle.writelines(jdlList)
handle.close()
jdlFiles.append(jdlFile)
# Now submit them
logging.info("About to submit %i jobs" %(len(jobsReady)))
if self.glexecPath:
command = 'CS=`which condor_submit`; '
if self.glexecWrapScript:
command += 'export GLEXEC_ENV=`%s 2>/dev/null`; ' % self.glexecWrapScript
command += 'export GLEXEC_CLIENT_CERT=%s; ' % self.glexecProxyFile
command += 'export GLEXEC_SOURCE_PROXY=%s; ' % self.glexecProxyFile
command += 'export X509_USER_PROXY=%s; ' % self.glexecProxyFile
command += 'export GLEXEC_TARGET_PROXY=%s; ' % self.jdlProxyFile
if self.glexecUnwrapScript:
command += '%s %s -- $CS %s' % (self.glexecPath, self.glexecUnwrapScript, jdlFile)
else:
command += '%s $CS %s' % (self.glexecPath, jdlFile)
else:
command = "condor_submit %s" % jdlFile
try:
self.input.put({'command': command, 'idList': idList})
except AssertionError as ex:
msg = "Critical error: input pipeline probably closed.\n"
msg += str(ex)
msg += "Error Procedure: Something critical has happened in the worker process\n"
msg += "We will now proceed to pull all useful data from the queue (if it exists)\n"
msg += "Then refresh the worker pool\n"
logging.error(msg)
queueError = True
break
nSubmits += 1
# Now we should have sent all jobs to be submitted
# Going to do the rest of it now
for n in range(nSubmits):
try:
res = self.result.get(block = True, timeout = timeout)
except Queue.Empty:
# If the queue was empty go to the next submit
# Those jobs have vanished
logging.error("Queue.Empty error received!")
logging.error("This could indicate a critical condor error!")
logging.error("However, no information of any use was obtained due to process failure.")
logging.error("Either process failed, or process timed out after %s seconds." % timeout)
queueError = True
continue
except AssertionError as ex:
msg = "Found Assertion error while retrieving output from worker process.\n"
msg += str(ex)
msg += "This indicates something critical happened to a worker process"
msg += "We will recover what jobs we know were submitted, and resubmit the rest"
msg += "Refreshing worker pool at end of loop"
logging.error(msg)
queueError = True
continue
try:
output = res['stdout']
error = res['stderr']
idList = res['idList']
exitCode = res['exitCode']
except KeyError as ex:
msg = "Error in finding key from result pipe\n"
msg += "Something has gone crticially wrong in the worker\n"
try:
msg += "Result: %s\n" % str(res)
except:
pass
msg += str(ex)
logging.error(msg)
queueError = True
continue
if not exitCode == 0:
logging.error("Condor returned non-zero. Printing out command stderr")
logging.error(error)
errorCheck, errorMsg = parseError(error = error)
logging.error("Processing failed jobs and proceeding to the next jobs.")
logging.error("Do not restart component.")
else:
errorCheck = None
if errorCheck:
self.errorCount += 1
condorErrorReport = Report()
condorErrorReport.addError("JobSubmit", 61202, "CondorError", errorMsg)
for jobID in idList:
for job in jobs:
if job.get('id', None) == jobID:
job['fwjr'] = condorErrorReport
failedJobs.append(job)
break
else:
if self.errorCount > 0:
self.errorCount -= 1
for jobID in idList:
for job in jobs:
if job.get('id', None) == jobID:
successfulJobs.append(job)
break
# If we get a lot of errors in a row it's probably time to
# report this to the operators.
if self.errorCount > self.errorThreshold:
try:
msg = "Exceeded errorThreshold while submitting to condor. Check condor status."
logging.error(msg)
logging.error("Reporting to Alert system and continuing to process jobs")
from WMCore.Alerts import API as alertAPI
preAlert, sender = alertAPI.setUpAlertsMessaging(self,
compName = "BossAirCondorPlugin")
sendAlert = alertAPI.getSendAlert(sender = sender,
preAlert = preAlert)
sendAlert(6, msg = msg)
sender.unregister()
self.errorCount = 0
except:
# There's nothing we can really do here
pass
# Remove JDL files unless commanded otherwise
if getattr(self.config.JobSubmitter, 'deleteJDLFiles', True):
for f in jdlFiles:
os.remove(f)
# When we're finished, clean up the queue workers in order
# to free up memory (in the midst of the process, the forked
# memory space shouldn't be touched, so it should still be
# shared, but after this point any action by the Submitter will
# result in memory duplication).
logging.info("Purging worker pool to clean up memory")
self.close()
# We must return a list of jobs successfully submitted,
# and a list of jobs failed
logging.info("Done submitting jobs for this cycle in CondorPlugin")
return successfulJobs, failedJobs
for job in jobs:
if job.get('id', None) == jobID:
successfulJobs.append(job)
break
# If we get a lot of errors in a row it's probably time to
# report this to the operators.
if self.errorCount > self.errorThreshold:
try:
msg = "Exceeded errorThreshold while submitting to condor. Check condor status."
logging.error(msg)
logging.error("Reporting to Alert system and continuing to process jobs")
from WMCore.Alerts import API as alertAPI
preAlert, sender = alertAPI.setUpAlertsMessaging(self,
compName = "BossAirCondorPlugin")
sendAlert = alertAPI.getSendAlert(sender = sender,
preAlert = preAlert)
sendAlert(6, msg = msg)
sender.unregister()
self.errorCount = 0
except:
# There's nothing we can really do here
pass
# Remove JDL files unless commanded otherwise
if getattr(self.config.JobSubmitter, 'deleteJDLFiles', True):
for f in jdlFiles:
os.remove(f)
# When we're finished, clean up the queue workers in order
# to free up memory (in the midst of the process, the forked
# memory space shouldn't be touched, so it should still be
def __init__(self, logger = None, dbi = None, **params):
WorkQueueBase.__init__(self, logger, dbi)
self.parent_queue = None
self.params = params
# config argument (within params) shall be reference to
# Configuration instance (will later be checked for presence of "Alert")
self.config = params.get("Config", None)
self.params.setdefault('CouchUrl', os.environ.get('COUCHURL'))
if not self.params.get('CouchUrl'):
raise RuntimeError, 'CouchUrl config value mandatory'
self.params.setdefault('DbName', 'workqueue')
self.params.setdefault('InboxDbName', self.params['DbName'] + '_inbox')
self.params.setdefault('ParentQueueCouchUrl', None) # We get work from here
self.backend = WorkQueueBackend(self.params['CouchUrl'], self.params['DbName'],
self.params['InboxDbName'],
self.params['ParentQueueCouchUrl'], self.params.get('QueueURL'),
logger = self.logger)
if self.params.get('ParentQueueCouchUrl'):
self.parent_queue = WorkQueueBackend(self.params['ParentQueueCouchUrl'].rsplit('/', 1)[0],
self.params['ParentQueueCouchUrl'].rsplit('/', 1)[1])
self.params.setdefault("GlobalDBS",
"http://cmsdbsprod.cern.ch/cms_dbs_prod_global/servlet/DBSServlet")
self.params.setdefault('QueueDepth', 2) # when less than this locally
self.params.setdefault('LocationRefreshInterval', 600)
self.params.setdefault('FullLocationRefreshInterval', 7200)
self.params.setdefault('TrackLocationOrSubscription', 'subscription')
self.params.setdefault('ReleaseIncompleteBlocks', False)
self.params.setdefault('ReleaseRequireSubscribed', True)
self.params.setdefault('PhEDExEndpoint', None)
self.params.setdefault('PopulateFilesets', True)
self.params.setdefault('LocalQueueFlag', True)
self.params.setdefault('JobDumpConfig', None)
self.params.setdefault('BossAirConfig', None)
self.params['QueueURL'] = self.backend.queueUrl # url this queue is visible on
# backend took previous QueueURL and sanitized it
self.params.setdefault('WMBSUrl', None) # this will only be set on local Queue
self.params.setdefault('Teams', [''])
self.params.setdefault('DrainMode', False)
if self.params.get('CacheDir'):
try:
os.makedirs(self.params['CacheDir'])
except OSError:
pass
elif self.params.get('PopulateFilesets'):
raise RuntimeError, 'CacheDir mandatory for local queue'
self.params.setdefault('SplittingMapping', {})
self.params['SplittingMapping'].setdefault('DatasetBlock',
{'name': 'Block',
'args': {}}
)
self.params['SplittingMapping'].setdefault('MonteCarlo',
{'name': 'MonteCarlo',
'args':{}}
)
self.params['SplittingMapping'].setdefault('Dataset',
{'name': 'Dataset',
'args': {}}
)
self.params['SplittingMapping'].setdefault('Block',
{'name': 'Block',
'args': {}}
)
self.params['SplittingMapping'].setdefault('ResubmitBlock',
{'name': 'ResubmitBlock',
'args': {}}
)
self.params.setdefault('EndPolicySettings', {})
assert(self.params['TrackLocationOrSubscription'] in ('subscription',
'location'))
# Can only release blocks on location
if self.params['TrackLocationOrSubscription'] == 'location':
if self.params['SplittingMapping']['DatasetBlock']['name'] != 'Block':
raise RuntimeError, 'Only blocks can be released on location'
if self.params.get('PhEDEx'):
self.phedexService = self.params['PhEDEx']
else:
phedexArgs = {}
if self.params.get('PhEDExEndpoint'):
phedexArgs['endpoint'] = self.params['PhEDExEndpoint']
self.phedexService = PhEDEx(phedexArgs)
if self.params.get('SiteDB'):
self.SiteDB = self.params['SiteDB']
else:
self.SiteDB = SiteDB()
if type(self.params['Teams']) in types.StringTypes:
self.params['Teams'] = [x.strip() for x in \
self.params['Teams'].split(',')]
self.dataLocationMapper = WorkQueueDataLocationMapper(self.logger, self.backend,
phedex = self.phedexService,
sitedb = self.SiteDB,
locationFrom = self.params['TrackLocationOrSubscription'],
incompleteBlocks = self.params['ReleaseIncompleteBlocks'],
requireBlocksSubscribed = not self.params['ReleaseIncompleteBlocks'],
fullRefreshInterval = self.params['FullLocationRefreshInterval'],
updateIntervalCoarseness = self.params['LocationRefreshInterval'])
# initialize alerts sending client (self.sendAlert() method)
# usage: self.sendAlert(levelNum, msg = msg) ; level - integer 1 .. 10
# 1 - 4 - lower levels ; 5 - 10 higher levels
preAlert, self.alertSender = \
alertAPI.setUpAlertsMessaging(self, compName = "WorkQueueManager")
self.sendAlert = alertAPI.getSendAlert(sender = self.alertSender,
preAlert = preAlert)
self.logger.debug("WorkQueue created successfully")
def submit(self, jobs, info=None):
"""
_submit_
Submit jobs for one subscription
"""
# If we're here, then we have submitter components
self.scriptFile = self.config.JobSubmitter.submitScript
self.submitDir = self.config.JobSubmitter.submitDir
timeout = getattr(self.config.JobSubmitter, 'getTimeout', 400)
successfulJobs = []
failedJobs = []
jdlFiles = []
if len(jobs) == 0:
# Then was have nothing to do
return successfulJobs, failedJobs
if len(self.pool) == 0:
# Starting things up
# This is obviously a submit API
logging.info("Starting up CondorPlugin worker pool")
self.input = multiprocessing.Queue()
self.result = multiprocessing.Queue()
for x in range(self.nProcess):
p = multiprocessing.Process(target = submitWorker,
args = (self.input, self.result, timeout))
p.start()
self.pool.append(p)
if not os.path.exists(self.submitDir):
os.makedirs(self.submitDir)
# Now assume that what we get is the following; a mostly
# unordered list of jobs with random sandboxes.
# We intend to sort them by sandbox.
submitDict = {}
nSubmits = 0
for job in jobs:
sandbox = job['sandbox']
if not sandbox in submitDict.keys():
submitDict[sandbox] = []
submitDict[sandbox].append(job)
# Now submit the bastards
queueError = False
for sandbox in submitDict.keys():
jobList = submitDict.get(sandbox, [])
idList = [x['jobid'] for x in jobList]
if queueError:
# If the queue has failed, then we must not process
# any more jobs this cycle.
continue
while len(jobList) > 0:
jobsReady = jobList[:self.config.JobSubmitter.jobsPerWorker]
jobList = jobList[self.config.JobSubmitter.jobsPerWorker:]
idList = [x['id'] for x in jobsReady]
jdlList = self.makeSubmit(jobList = jobsReady)
if not jdlList or jdlList == []:
# Then we got nothing
logging.error("No JDL file made!")
return {'NoResult': [0]}
jdlFile = "%s/submit_%i_%i.jdl" % (self.submitDir, os.getpid(), idList[0])
handle = open(jdlFile, 'w')
handle.writelines(jdlList)
handle.close()
jdlFiles.append(jdlFile)
# Now submit them
logging.info("About to submit %i jobs" %(len(jobsReady)))
if self.glexecPath:
command = 'CS=`which condor_submit`; '
if self.glexecWrapScript:
command += 'export GLEXEC_ENV=`%s 2>/dev/null`; ' % self.glexecWrapScript
command += 'export GLEXEC_CLIENT_CERT=%s; ' % self.glexecProxyFile
command += 'export GLEXEC_SOURCE_PROXY=%s; ' % self.glexecProxyFile
command += 'export X509_USER_PROXY=%s; ' % self.glexecProxyFile
command += 'export GLEXEC_TARGET_PROXY=%s; ' % self.jdlProxyFile
if self.glexecUnwrapScript:
command += '%s %s -- $CS %s' % (self.glexecPath, self.glexecUnwrapScript, jdlFile)
else:
command += '%s $CS %s' % (self.glexecPath, jdlFile)
else:
command = "condor_submit %s" % jdlFile
try:
self.input.put({'command': command, 'idList': idList})
except AssertionError as ex:
msg = "Critical error: input pipeline probably closed.\n"
msg += str(ex)
msg += "Error Procedure: Something critical has happened in the worker process\n"
msg += "We will now proceed to pull all useful data from the queue (if it exists)\n"
msg += "Then refresh the worker pool\n"
logging.error(msg)
queueError = True
break
nSubmits += 1
# Now we should have sent all jobs to be submitted
# Going to do the rest of it now
for n in range(nSubmits):
try:
res = self.result.get(block = True, timeout = timeout)
except Queue.Empty:
# If the queue was empty go to the next submit
# Those jobs have vanished
logging.error("Queue.Empty error received!")
logging.error("This could indicate a critical condor error!")
logging.error("However, no information of any use was obtained due to process failure.")
logging.error("Either process failed, or process timed out after %s seconds." % timeout)
queueError = True
continue
except AssertionError as ex:
msg = "Found Assertion error while retrieving output from worker process.\n"
msg += str(ex)
msg += "This indicates something critical happened to a worker process"
msg += "We will recover what jobs we know were submitted, and resubmit the rest"
msg += "Refreshing worker pool at end of loop"
logging.error(msg)
queueError = True
continue
try:
output = res['stdout']
error = res['stderr']
idList = res['idList']
exitCode = res['exitCode']
except KeyError as ex:
msg = "Error in finding key from result pipe\n"
msg += "Something has gone critically wrong in the worker\n"
try:
msg += "Result: %s\n" % str(res)
except:
pass
msg += str(ex)
logging.error(msg)
queueError = True
continue
if not exitCode == 0:
logging.error("Condor returned non-zero. Printing out command stderr")
logging.error(error)
errorCheck, errorMsg = parseError(error = error)
logging.error("Processing failed jobs and proceeding to the next jobs.")
logging.error("Do not restart component.")
else:
errorCheck = None
if errorCheck:
self.errorCount += 1
condorErrorReport = Report()
condorErrorReport.addError("JobSubmit", 61202, "CondorError", errorMsg)
for jobID in idList:
for job in jobs:
if job.get('id', None) == jobID:
job['fwjr'] = condorErrorReport
failedJobs.append(job)
break
else:
if self.errorCount > 0:
self.errorCount -= 1
for jobID in idList:
for job in jobs:
if job.get('id', None) == jobID:
successfulJobs.append(job)
break
# If we get a lot of errors in a row it's probably time to
# report this to the operators.
if self.errorCount > self.errorThreshold:
try:
msg = "Exceeded errorThreshold while submitting to condor. Check condor status."
logging.error(msg)
logging.error("Reporting to Alert system and continuing to process jobs")
from WMCore.Alerts import API as alertAPI
preAlert, sender = alertAPI.setUpAlertsMessaging(self,
compName = "BossAirCondorPlugin")
sendAlert = alertAPI.getSendAlert(sender = sender,
preAlert = preAlert)
sendAlert(6, msg = msg)
sender.unregister()
self.errorCount = 0
except:
# There's nothing we can really do here
pass
# Remove JDL files unless commanded otherwise
if getattr(self.config.JobSubmitter, 'deleteJDLFiles', True):
for f in jdlFiles:
os.remove(f)
# When we're finished, clean up the queue workers in order
# to free up memory (in the midst of the process, the forked
# memory space shouldn't be touched, so it should still be
# shared, but after this point any action by the Submitter will
# result in memory duplication).
logging.info("Purging worker pool to clean up memory")
self.close()
# We must return a list of jobs successfully submitted,
# and a list of jobs failed
logging.info("Done submitting jobs for this cycle in CondorPlugin")
return successfulJobs, failedJobs
for job in jobs:
if job.get('id', None) == jobID:
successfulJobs.append(job)
break
# If we get a lot of errors in a row it's probably time to
# report this to the operators.
if self.errorCount > self.errorThreshold:
try:
msg = "Exceeded errorThreshold while submitting to condor. Check condor status."
logging.error(msg)
logging.error("Reporting to Alert system and continuing to process jobs")
from WMCore.Alerts import API as alertAPI
preAlert, sender = alertAPI.setUpAlertsMessaging(self,
compName = "BossAirPyCondorPlugin")
sendAlert = alertAPI.getSendAlert(sender = sender,
preAlert = preAlert)
sendAlert(6, msg = msg)
sender.unregister()
self.errorCount = 0
except:
# There's nothing we can really do here
pass
# Remove JDL files unless commanded otherwise
if getattr(self.config.JobSubmitter, 'deleteJDLFiles', True):
for f in jdlFiles:
os.remove(f)
# When we're finished, clean up the queue workers in order
# to free up memory (in the midst of the process, the forked
# memory space shouldn't be touched, so it should still be
class WorkQueue(WorkQueueBase):
"""
_WorkQueue_
WorkQueue object - interface to WorkQueue functionality.
"""
def __init__(self, logger=None, dbi=None, **params):
WorkQueueBase.__init__(self, logger, dbi)
self.parent_queue = None
self.params = params
# config argument (within params) shall be reference to
# Configuration instance (will later be checked for presence of "Alert")
self.config = params.get("Config", None)
self.params.setdefault('CouchUrl', os.environ.get('COUCHURL'))
if not self.params.get('CouchUrl'):
raise RuntimeError, 'CouchUrl config value mandatory'
self.params.setdefault('DbName', 'workqueue')
self.params.setdefault('InboxDbName', self.params['DbName'] + '_inbox')
self.params.setdefault('ParentQueueCouchUrl',
None) # We get work from here
self.backend = WorkQueueBackend(self.params['CouchUrl'],
self.params['DbName'],
self.params['InboxDbName'],
self.params['ParentQueueCouchUrl'],
self.params.get('QueueURL'),
logger=self.logger)
if self.params.get('ParentQueueCouchUrl'):
try:
self.parent_queue = WorkQueueBackend(
self.params['ParentQueueCouchUrl'].rsplit('/', 1)[0],
self.params['ParentQueueCouchUrl'].rsplit('/', 1)[1])
except IndexError, ex:
# Probable cause: Someone didn't put the global WorkQueue name in
# the ParentCouchUrl
msg = "Parsing failure for ParentQueueCouchUrl - probably missing dbname in input\n"
msg += "Exception: %s\n" % str(ex)
msg += str("ParentQueueCouchUrl: %s\n" %
self.params['ParentQueueCouchUrl'])
self.logger.error(msg)
raise WorkQueueError(msg)
self.params['ParentQueueCouchUrl'] = self.parent_queue.queueUrl
self.params.setdefault(
"GlobalDBS",
"http://cmsdbsprod.cern.ch/cms_dbs_prod_global/servlet/DBSServlet")
self.params.setdefault('QueueDepth',
0.5) # when less than this locally
self.params.setdefault('LocationRefreshInterval', 600)
self.params.setdefault('FullLocationRefreshInterval', 7200)
self.params.setdefault('TrackLocationOrSubscription', 'subscription')
self.params.setdefault('ReleaseIncompleteBlocks', False)
self.params.setdefault('ReleaseRequireSubscribed', True)
self.params.setdefault('PhEDExEndpoint', None)
self.params.setdefault('PopulateFilesets', True)
self.params.setdefault('LocalQueueFlag', True)
self.params.setdefault('QueueRetryTime', 86400)
self.params.setdefault('stuckElementAlertTime', 86400)
self.params.setdefault('reqmgrCompleteGraceTime', 604800)
self.params.setdefault('cancelGraceTime', 604800)
self.params.setdefault('JobDumpConfig', None)
self.params.setdefault('BossAirConfig', None)
self.params[
'QueueURL'] = self.backend.queueUrl # url this queue is visible on
# backend took previous QueueURL and sanitized it
self.params.setdefault('WMBSUrl',
None) # this will only be set on local Queue
if self.params.get('WMBSUrl'):
self.params['WMBSUrl'] = Lexicon.sanitizeURL(
self.params['WMBSUrl'])['url']
self.params.setdefault('Teams', [])
self.params.setdefault('DrainMode', False)
if self.params.get('CacheDir'):
try:
os.makedirs(self.params['CacheDir'])
except OSError:
pass
elif self.params.get('PopulateFilesets'):
raise RuntimeError, 'CacheDir mandatory for local queue'
self.params.setdefault('SplittingMapping', {})
self.params['SplittingMapping'].setdefault('DatasetBlock', {
'name': 'Block',
'args': {}
})
self.params['SplittingMapping'].setdefault('MonteCarlo', {
'name': 'MonteCarlo',
'args': {}
})
self.params['SplittingMapping'].setdefault('Dataset', {
'name': 'Dataset',
'args': {}
})
self.params['SplittingMapping'].setdefault('Block', {
'name': 'Block',
'args': {}
})
self.params['SplittingMapping'].setdefault('ResubmitBlock', {
'name': 'ResubmitBlock',
'args': {}
})
self.params.setdefault('EndPolicySettings', {})
assert (self.params['TrackLocationOrSubscription']
in ('subscription', 'location'))
# Can only release blocks on location
if self.params['TrackLocationOrSubscription'] == 'location':
if self.params['SplittingMapping']['DatasetBlock'][
'name'] != 'Block':
raise RuntimeError, 'Only blocks can be released on location'
if self.params.get('PhEDEx'):
self.phedexService = self.params['PhEDEx']
else:
phedexArgs = {}
if self.params.get('PhEDExEndpoint'):
phedexArgs['endpoint'] = self.params['PhEDExEndpoint']
self.phedexService = PhEDEx(phedexArgs)
if self.params.get('SiteDB'):
self.SiteDB = self.params['SiteDB']
else:
self.SiteDB = SiteDB()
if type(self.params['Teams']) in types.StringTypes:
self.params['Teams'] = [x.strip() for x in \
self.params['Teams'].split(',')]
self.dataLocationMapper = WorkQueueDataLocationMapper(
self.logger,
self.backend,
phedex=self.phedexService,
sitedb=self.SiteDB,
locationFrom=self.params['TrackLocationOrSubscription'],
incompleteBlocks=self.params['ReleaseIncompleteBlocks'],
requireBlocksSubscribed=not self.params['ReleaseIncompleteBlocks'],
fullRefreshInterval=self.params['FullLocationRefreshInterval'],
updateIntervalCoarseness=self.params['LocationRefreshInterval'])
# initialize alerts sending client (self.sendAlert() method)
# usage: self.sendAlert(levelNum, msg = msg) ; level - integer 1 .. 10
# 1 - 4 - lower levels ; 5 - 10 higher levels
preAlert, self.alertSender = \
alertAPI.setUpAlertsMessaging(self, compName = "WorkQueueManager")
self.sendAlert = alertAPI.getSendAlert(sender=self.alertSender,
preAlert=preAlert)
self.logger.debug("WorkQueue created successfully")