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|
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__revision__ = "$Id$" |
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__version__ = "$Revision$" |
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|
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import common |
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from crab_exceptions import * |
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from crab_util import * |
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|
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from WMCore.DataStructs.File import File |
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from WMCore.DataStructs.Fileset import Fileset |
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from WMCore.DataStructs.Run import Run |
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from WMCore.DataStructs.Subscription import Subscription |
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from WMCore.DataStructs.Workflow import Workflow |
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from WMCore.JobSplitting.SplitterFactory import SplitterFactory |
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from WMCore.SiteScreening.BlackWhiteListParser import SEBlackWhiteListParser |
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from LumiList import LumiList |
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|
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class JobSplitter: |
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def __init__( self, cfg_params, args ): |
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self.cfg_params = cfg_params |
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self.args=args |
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|
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self.lumisPerJob = -1 |
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self.totalNLumis = 0 |
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self.theNumberOfJobs = 0 |
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self.limitNJobs = False |
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self.limitTotalLumis = False |
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self.limitJobLumis = False |
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|
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#self.maxEvents |
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# init BlackWhiteListParser |
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seWhiteList = cfg_params.get('GRID.se_white_list',[]) |
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self.seWhiteList = cfg_params.get('GRID.se_white_list',[]) |
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seBlackList = cfg_params.get('GRID.se_black_list',[]) |
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self.blackWhiteListParser = SEBlackWhiteListParser(seWhiteList, seBlackList, common.logger()) |
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self.blackWhiteListParser = SEBlackWhiteListParser(self.seWhiteList, seBlackList, common.logger()) |
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|
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|
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def checkUserSettings(self): |
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self.total_number_of_events = 0 |
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self.selectTotalNumberEvents = 0 |
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|
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return |
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|
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def checkLumiSettings(self): |
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""" |
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Check to make sure the user has specified enough information to |
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perform splitting by Lumis to run the job |
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""" |
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settings = 0 |
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if self.cfg_params.has_key('CMSSW.lumis_per_job'): |
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self.lumisPerJob =int( self.cfg_params['CMSSW.lumis_per_job']) |
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self.limitJobLumis = True |
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settings += 1 |
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|
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if self.cfg_params.has_key('CMSSW.number_of_jobs'): |
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self.theNumberOfJobs =int( self.cfg_params['CMSSW.number_of_jobs']) |
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self.limitNJobs = True |
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settings += 1 |
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|
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if self.cfg_params.has_key('CMSSW.total_number_of_lumis'): |
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self.totalNLumis = int(self.cfg_params['CMSSW.total_number_of_lumis']) |
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self.limitTotalLumis = (self.totalNLumis != -1) |
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settings += 1 |
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|
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if settings != 2: |
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msg = 'When splitting by lumi section you must specify two and only two of:\n' |
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msg += ' number_of_jobs, lumis_per_job, total_number_of_lumis' |
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raise CrabException(msg) |
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if self.limitNJobs and self.limitJobLumis: |
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self.limitTotalLumis = True |
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self.totalNLumis = self.lumisPerJob * self.theNumberOfJobs |
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|
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# Has the user specified runselection? |
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if (self.cfg_params.has_key('CMSSW.runselection')): |
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common.logger.info('You have specified runselection and split by lumi.') |
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common.logger.info('Good lumi list will be the intersection of runselection and lumimask or ADS (if any).') |
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return |
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|
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def ComputeSubBlockSites( self, blockSites ): |
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""" |
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""" |
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sub_blockSites = {} |
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for k,v in blockSites.iteritems(): |
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sites=self.blackWhiteListParser.checkWhiteList(v) |
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if sites : sub_blockSites[k]=v |
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if len(sub_blockSites) < 1: |
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msg = 'WARNING: the sites %s is not hosting any part of data.'%self.seWhiteList |
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raise CrabException(msg) |
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return sub_blockSites |
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|
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######################################################################## |
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def jobSplittingByEvent( self ): |
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self.useParent = int(self.cfg_params.get('CMSSW.use_parent',0)) |
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noBboundary = int(self.cfg_params.get('CMSSW.no_block_boundary',0)) |
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|
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if noBboundary == 1: |
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if self.total_number_of_events== -1: |
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msg = 'You are selecting no_block_boundary=1 which does not allow to set total_number_of_events=-1\n' |
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msg +='\tYou shoud get the number of event from DBS web interface and use it for your configuration.' |
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raise CrabException(msg) |
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if len(self.seWhiteList) == 0 or len(self.seWhiteList.split(',')) != 1: |
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msg = 'You are selecting no_block_boundary=1 which requires to choose one and only one site.\n' |
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msg += "\tPlease set se_white_list with the site's storage element name." |
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raise CrabException(msg) |
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blockSites = self.ComputeSubBlockSites(blockSites) |
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|
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# ---- Handle the possible job splitting configurations ---- # |
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if (self.selectTotalNumberEvents): |
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totalEventsRequested = self.total_number_of_events |
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virgola = "," |
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for block in bloskNoSite: |
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msg += ' ' + str(block) + virgola |
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msg += '\n Related jobs:\n ' |
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msg += '\n\t\tRelated jobs:\n ' |
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virgola = "" |
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if len(noSiteBlock) > 1: |
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virgola = "," |
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for range_jobs in noSiteBlock: |
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msg += str(range_jobs) + virgola |
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msg += '\n will not be submitted and this block of data can not be analyzed!\n' |
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msg += '\n\t\twill not be submitted and this block of data can not be analyzed!\n' |
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if self.cfg_params.has_key('GRID.se_white_list'): |
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< |
msg += 'WARNING: SE White List: '+self.cfg_params['GRID.se_white_list']+'\n' |
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< |
msg += '(Hint: By whitelisting you force the job to run at this particular site(s).\n' |
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msg += 'Please check if the dataset is available at this site!)\n' |
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> |
msg += '\tWARNING: SE White List: '+self.cfg_params['GRID.se_white_list']+'\n' |
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> |
msg += '\t(Hint: By whitelisting you force the job to run at this particular site(s).\n' |
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msg += '\tPlease check if the dataset is available at this site!)' |
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if self.cfg_params.has_key('GRID.ce_white_list'): |
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< |
msg += 'WARNING: CE White List: '+self.cfg_params['GRID.ce_white_list']+'\n' |
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< |
msg += '(Hint: By whitelisting you force the job to run at this particular site(s).\n' |
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< |
msg += 'Please check if the dataset is available at this site!)\n' |
413 |
> |
msg += '\tWARNING: CE White List: '+self.cfg_params['GRID.ce_white_list']+'\n' |
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> |
msg += '\t(Hint: By whitelisting you force the job to run at this particular site(s).\n' |
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msg += '\tPlease check if the dataset is available at this site!)\n' |
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|
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common.logger.info(msg) |
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|
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if bloskNoSite == allBlock: |
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< |
raise CrabException('No jobs created') |
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> |
msg += 'Requested jobs cannot be Created! \n' |
421 |
> |
if self.cfg_params.has_key('GRID.se_white_list'): |
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> |
msg += '\tWARNING: SE White List: '+self.cfg_params['GRID.se_white_list']+'\n' |
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> |
msg += '\t(Hint: By whitelisting you force the job to run at this particular site(s).\n' |
424 |
> |
msg += '\tPlease check if the dataset is available at this site!)' |
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> |
if self.cfg_params.has_key('GRID.ce_white_list'): |
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> |
msg += '\tWARNING: CE White List: '+self.cfg_params['GRID.ce_white_list']+'\n' |
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> |
msg += '\t(Hint: By whitelisting you force the job to run at this particular site(s).\n' |
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msg += '\tPlease check if the dataset is available at this site!)\n' |
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raise CrabException(msg) |
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|
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return |
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|
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def jobSplittingByRun(self): |
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""" |
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""" |
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from sets import Set |
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from WMCore.JobSplitting.RunBased import RunBased |
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from WMCore.DataStructs.Workflow import Workflow |
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from WMCore.DataStructs.File import File |
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from WMCore.DataStructs.Fileset import Fileset |
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from WMCore.DataStructs.Subscription import Subscription |
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from WMCore.JobSplitting.SplitterFactory import SplitterFactory |
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from WMCore.DataStructs.Run import Run |
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|
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self.checkUserSettings() |
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blockSites = self.args['blockSites'] |
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jobfactory = splitter(subs) |
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|
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#loop over all runs |
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set = Set(runList) |
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list_of_lists = [] |
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jobDestination = [] |
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count = 0 |
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#need to check single file location |
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jobDestination.append(res['locations']) |
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count +=1 |
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# prepare dict output |
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# prepare dict output |
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dictOut = {} |
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dictOut['params']= ['InputFiles','MaxEvents','SkipEvents'] |
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dictOut['args'] = list_of_lists |
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return res |
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|
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######################################################################## |
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< |
def jobSplittingNoInput(self): |
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def prepareSplittingNoInput(self): |
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""" |
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Perform job splitting based on number of event per job |
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""" |
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– |
common.logger.debug('Splitting per events') |
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– |
self.checkUserSettings() |
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– |
jobDestination=[] |
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– |
if ( (self.selectTotalNumberEvents + self.selectEventsPerJob + self.selectNumberOfJobs) != 2 ): |
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msg = 'Must define exactly two of total_number_of_events, events_per_job, or number_of_jobs.' |
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raise CrabException(msg) |
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|
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managedGenerators =self.args['managedGenerators'] |
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generator = self.args['generator'] |
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firstRun = self.cfg_params.get('CMSSW.first_run',None) |
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|
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if (self.selectEventsPerJob): |
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common.logger.info('Required '+str(self.eventsPerJob)+' events per job ') |
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if (self.selectNumberOfJobs): |
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self.total_number_of_jobs = self.theNumberOfJobs |
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self.eventsPerJob = int(self.total_number_of_events/self.total_number_of_jobs) |
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|
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|
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def jobSplittingNoInput(self): |
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""" |
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Perform job splitting based on number of event per job |
546 |
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""" |
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common.logger.debug('Splitting per events') |
548 |
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self.checkUserSettings() |
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jobDestination=[] |
550 |
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if ( (self.selectTotalNumberEvents + self.selectEventsPerJob + self.selectNumberOfJobs) != 2 ): |
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msg = 'Must define exactly two of total_number_of_events, events_per_job, or number_of_jobs.' |
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raise CrabException(msg) |
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|
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managedGenerators =self.args['managedGenerators'] |
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generator = self.args['generator'] |
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firstLumi = self.cfg_params.get('CMSSW.first_lumi', 1) |
557 |
+ |
|
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self.prepareSplittingNoInput() |
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|
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common.logger.debug('N jobs '+str(self.total_number_of_jobs)) |
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|
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# is there any remainder? |
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self.list_of_args = [] |
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for i in range(self.total_number_of_jobs): |
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## Since there is no input, any site is good |
575 |
< |
jobDestination.append([""]) #must be empty to write correctly the xml |
575 |
> |
jobDestination.append([""]) # must be empty to correctly write the XML |
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args=[] |
577 |
< |
if (firstRun): |
578 |
< |
## pythia first run |
494 |
< |
args.append(str(firstRun)+str(i)) |
577 |
> |
if (firstLumi): # Pythia first lumi |
578 |
> |
args.append(str(int(firstLumi)+i)) |
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if (generator in managedGenerators): |
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args.append(generator) |
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if (generator == 'comphep' and i == 0): |
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|
590 |
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dictOut = {} |
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dictOut['params'] = ['MaxEvents'] |
592 |
< |
if (firstRun): |
593 |
< |
dictOut['params'] = ['FirstRun','MaxEvents'] |
594 |
< |
if ( generator in managedGenerators ) : |
595 |
< |
dictOut['params'] = ['FirstRun', 'Generator', 'FirstEvent', 'MaxEvents'] |
592 |
> |
if (firstLumi): |
593 |
> |
dictOut['params'] = ['FirstLumi','MaxEvents'] |
594 |
> |
if (generator in managedGenerators): |
595 |
> |
dictOut['params'] = ['FirstLumi', 'Generator', 'FirstEvent', 'MaxEvents'] |
596 |
|
else: |
597 |
|
if (generator in managedGenerators) : |
598 |
|
dictOut['params'] = ['Generator', 'FirstEvent', 'MaxEvents'] |
615 |
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common.logger.debug('Splitting per job') |
616 |
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common.logger.info('Required '+str(self.theNumberOfJobs)+' jobs in total ') |
617 |
|
|
618 |
< |
self.total_number_of_jobs = self.theNumberOfJobs |
618 |
> |
# self.total_number_of_jobs = self.theNumberOfJobs |
619 |
> |
|
620 |
> |
self.prepareSplittingNoInput() |
621 |
|
|
622 |
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common.logger.debug('N jobs '+str(self.total_number_of_jobs)) |
623 |
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|
624 |
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common.logger.info(str(self.total_number_of_jobs)+' jobs can be created') |
625 |
|
|
626 |
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# argument is seed number.$i |
627 |
< |
#self.list_of_args = [] |
627 |
> |
self.list_of_args = [] |
628 |
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for i in range(self.total_number_of_jobs): |
629 |
+ |
args=[] |
630 |
|
jobDestination.append([""]) |
631 |
< |
# self.list_of_args.append([str(i)]) |
631 |
> |
if self.eventsPerJob != 0 : |
632 |
> |
args.append(str(self.eventsPerJob)) |
633 |
> |
self.list_of_args.append(args) |
634 |
|
|
635 |
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# prepare dict output |
636 |
|
dictOut = {} |
637 |
< |
dictOut['args'] = [] # self.list_of_args |
637 |
> |
dictOut['params'] = ['MaxEvents'] |
638 |
> |
dictOut['args'] = self.list_of_args |
639 |
|
dictOut['jobDestination'] = jobDestination |
640 |
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dictOut['njobs']=self.total_number_of_jobs |
641 |
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return dictOut |
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|
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def jobSplittingByLumi(self): |
645 |
|
""" |
646 |
+ |
Split task into jobs by Lumi section paying attention to which |
647 |
+ |
lumis should be run (according to the analysis dataset). |
648 |
+ |
This uses WMBS job splitting which does not split files over jobs |
649 |
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so the job will have AT LEAST as many lumis as requested, perhaps |
650 |
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more |
651 |
|
""" |
652 |
< |
return |
652 |
> |
|
653 |
> |
common.logger.debug('Splitting by Lumi') |
654 |
> |
self.checkLumiSettings() |
655 |
> |
|
656 |
> |
blockSites = self.args['blockSites'] |
657 |
> |
pubdata = self.args['pubdata'] |
658 |
> |
|
659 |
> |
lumisPerFile = pubdata.getLumis() |
660 |
> |
|
661 |
> |
# Make the list of WMBS files for job splitter |
662 |
> |
fileList = pubdata.getListFiles() |
663 |
> |
thefiles = Fileset(name='FilesToSplit') |
664 |
> |
for jobFile in fileList: |
665 |
> |
block = jobFile['Block']['Name'] |
666 |
> |
try: |
667 |
> |
jobFile['Block']['StorageElementList'].extend(blockSites[block]) |
668 |
> |
except: |
669 |
> |
continue |
670 |
> |
wmbsFile = File(jobFile['LogicalFileName']) |
671 |
> |
[ wmbsFile['locations'].add(x) for x in blockSites[block] ] |
672 |
> |
wmbsFile['block'] = block |
673 |
> |
for lumi in lumisPerFile[jobFile['LogicalFileName']]: |
674 |
> |
wmbsFile.addRun(Run(lumi[0], lumi[1])) |
675 |
> |
thefiles.addFile(wmbsFile) |
676 |
> |
|
677 |
> |
# Create the factory and workflow |
678 |
> |
work = Workflow() |
679 |
> |
subs = Subscription(fileset = thefiles, workflow = work, |
680 |
> |
split_algo = 'LumiBased', type = "Processing") |
681 |
> |
splitter = SplitterFactory() |
682 |
> |
jobFactory = splitter(subs) |
683 |
> |
|
684 |
> |
list_of_lists = [] |
685 |
> |
jobDestination = [] |
686 |
> |
jobCount = 0 |
687 |
> |
lumisCreated = 0 |
688 |
> |
|
689 |
> |
if not self.limitJobLumis: |
690 |
> |
self.lumisPerJob = pubdata.getMaxLumis() // self.theNumberOfJobs + 1 |
691 |
> |
common.logger.info('Each job will process about %s lumis.' % |
692 |
> |
self.lumisPerJob) |
693 |
> |
|
694 |
> |
for jobGroup in jobFactory(lumis_per_job = self.lumisPerJob): |
695 |
> |
for job in jobGroup.jobs: |
696 |
> |
if (self.limitNJobs and jobCount >= self.theNumberOfJobs): |
697 |
> |
common.logger.info('Limit on number of jobs reached.') |
698 |
> |
break |
699 |
> |
if (self.limitTotalLumis and lumisCreated >= self.totalNLumis): |
700 |
> |
common.logger.info('Limit on number of lumis reached.') |
701 |
> |
break |
702 |
> |
lumis = [] |
703 |
> |
lfns = [] |
704 |
> |
locations = [] |
705 |
> |
firstFile = True |
706 |
> |
# Collect information from all the files |
707 |
> |
for jobFile in job.getFiles(): |
708 |
> |
doFile = False |
709 |
> |
if firstFile: # Get locations from first file in the job |
710 |
> |
for loc in jobFile['locations']: |
711 |
> |
locations.append(loc) |
712 |
> |
firstFile = False |
713 |
> |
# Accumulate Lumis from all files |
714 |
> |
for lumiList in jobFile['runs']: |
715 |
> |
theRun = lumiList.run |
716 |
> |
for theLumi in list(lumiList): |
717 |
> |
if (not self.limitTotalLumis) or \ |
718 |
> |
(lumisCreated <= self.totalNLumis): |
719 |
> |
doFile = True |
720 |
> |
lumisCreated += 1 |
721 |
> |
lumis.append( (theRun, theLumi) ) |
722 |
> |
if doFile: |
723 |
> |
lfns.append(jobFile['lfn']) |
724 |
> |
fileString = ','.join(lfns) |
725 |
> |
lumiLister = LumiList(lumis = lumis) |
726 |
> |
lumiString = lumiLister.getCMSSWString() |
727 |
> |
list_of_lists.append([fileString, str(-1), str(0), lumiString]) |
728 |
> |
|
729 |
> |
jobDestination.append(locations) |
730 |
> |
jobCount += 1 |
731 |
> |
common.logger.debug('Job %s will run on %s files and %s lumis ' |
732 |
> |
% (jobCount, len(lfns), len(lumis) )) |
733 |
> |
|
734 |
> |
common.logger.info('%s jobs created to run on %s lumis' % |
735 |
> |
(jobCount, lumisCreated)) |
736 |
> |
|
737 |
> |
# Prepare dict output matching back to non-WMBS job creation |
738 |
> |
dictOut = {} |
739 |
> |
dictOut['params'] = ['InputFiles', 'MaxEvents', 'SkipEvents', 'Lumis'] |
740 |
> |
dictOut['args'] = list_of_lists |
741 |
> |
dictOut['jobDestination'] = jobDestination |
742 |
> |
dictOut['njobs'] = jobCount |
743 |
> |
|
744 |
> |
return dictOut |
745 |
> |
|
746 |
> |
|
747 |
|
def Algos(self): |
748 |
|
""" |
749 |
|
Define key splittingType matrix |