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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 sets import Set |
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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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|
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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.selectTotalNumberEvents = 0 |
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|
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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 running on analysis datasets 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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|
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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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""" |
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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' |
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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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|
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common.logger.info(msg) |
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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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|
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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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> |
firstLumi = self.cfg_params.get('CMSSW.first_lumi', 1) |
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|
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self.prepareSplittingNoInput() |
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|
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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 |
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jobDestination.append([""]) #must be empty to write correctly the xml |
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jobDestination.append([""]) # must be empty to correctly write the XML |
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args=[] |
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if (firstRun): |
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## pythia first run |
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args.append(str(firstRun)+str(i)) |
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if (firstLumi): # Pythia first lumi |
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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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|
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dictOut = {} |
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dictOut['params'] = ['MaxEvents'] |
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if (firstRun): |
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dictOut['params'] = ['FirstRun','MaxEvents'] |
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if ( generator in managedGenerators ) : |
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dictOut['params'] = ['FirstRun', 'Generator', 'FirstEvent', 'MaxEvents'] |
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if (firstLumi): |
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dictOut['params'] = ['FirstLumi','MaxEvents'] |
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if (generator in managedGenerators): |
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dictOut['params'] = ['FirstLumi', 'Generator', 'FirstEvent', 'MaxEvents'] |
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else: |
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if (generator in managedGenerators) : |
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dictOut['params'] = ['Generator', 'FirstEvent', 'MaxEvents'] |
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|
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def jobSplittingByLumi(self): |
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""" |
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Split task into jobs by Lumi section paying attention to which |
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lumis should be run (according to the analysis dataset). |
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This uses WMBS job splitting which does not split files over jobs |
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so the job will have AT LEAST as many lumis as requested, perhaps |
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more |
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""" |
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< |
return |
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|
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common.logger.debug('Splitting by Lumi') |
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> |
self.checkLumiSettings() |
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|
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blockSites = self.args['blockSites'] |
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pubdata = self.args['pubdata'] |
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|
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lumisPerFile = pubdata.getLumis() |
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|
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# Make the list of WMBS files for job splitter |
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fileList = pubdata.getListFiles() |
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thefiles = Fileset(name='FilesToSplit') |
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for jobFile in fileList: |
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block = jobFile['Block']['Name'] |
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try: |
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jobFile['Block']['StorageElementList'].extend(blockSites[block]) |
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except: |
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continue |
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wmbsFile = File(jobFile['LogicalFileName']) |
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[ wmbsFile['locations'].add(x) for x in blockSites[block] ] |
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wmbsFile['block'] = block |
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for lumi in lumisPerFile[jobFile['LogicalFileName']]: |
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wmbsFile.addRun(Run(lumi[0], lumi[1])) |
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thefiles.addFile(wmbsFile) |
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|
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# Create the factory and workflow |
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work = Workflow() |
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subs = Subscription(fileset = thefiles, workflow = work, |
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split_algo = 'LumiBased', type = "Processing") |
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splitter = SplitterFactory() |
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jobFactory = splitter(subs) |
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> |
|
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list_of_lists = [] |
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> |
jobDestination = [] |
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> |
jobCount = 0 |
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> |
lumisCreated = 0 |
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> |
|
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if not self.limitJobLumis: |
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self.lumisPerJob = pubdata.getMaxLumis() // self.theNumberOfJobs + 1 |
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common.logger.info('Each job will process about %s lumis.' % |
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self.lumisPerJob) |
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|
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for jobGroup in jobFactory(lumis_per_job = self.lumisPerJob): |
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for job in jobGroup.jobs: |
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if (self.limitNJobs and jobCount >= self.theNumberOfJobs): |
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common.logger.info('Limit on number of jobs reached.') |
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break |
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if (self.limitTotalLumis and lumisCreated >= self.totalNLumis): |
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common.logger.info('Limit on number of lumis reached.') |
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break |
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> |
lumis = [] |
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> |
lfns = [] |
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locations = [] |
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> |
firstFile = True |
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# Collect information from all the files |
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for jobFile in job.getFiles(): |
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if firstFile: # Get locations from first file in the job |
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for loc in jobFile['locations']: |
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locations.append(loc) |
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firstFile = False |
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# Accumulate Lumis from all files |
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for lumiList in jobFile['runs']: |
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> |
theRun = lumiList.run |
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for theLumi in list(lumiList): |
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lumis.append( (theRun, theLumi) ) |
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|
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lfns.append(jobFile['lfn']) |
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fileString = ','.join(lfns) |
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lumiString = compressLumiString(lumis) |
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list_of_lists.append([fileString, str(-1), str(0), lumiString]) |
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> |
|
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jobDestination.append(locations) |
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jobCount += 1 |
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lumisCreated += len(lumis) |
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common.logger.debug('Job %s will run on %s files and %s lumis ' |
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% (jobCount, len(lfns), len(lumis) )) |
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|
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common.logger.info('%s jobs created to run on %s lumis' % |
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(jobCount, lumisCreated)) |
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> |
|
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> |
# Prepare dict output matching back to non-WMBS job creation |
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dictOut = {} |
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dictOut['params'] = ['InputFiles', 'MaxEvents', 'SkipEvents', 'Lumis'] |
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dictOut['args'] = list_of_lists |
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dictOut['jobDestination'] = jobDestination |
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dictOut['njobs'] = jobCount |
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> |
|
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return dictOut |
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> |
|
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> |
|
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def Algos(self): |
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""" |
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Define key splittingType matrix |
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} |
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return SplitAlogs |
| 740 |
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|
| 741 |
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|
| 742 |
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|
| 743 |
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def compressLumiString(lumis): |
| 744 |
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""" |
| 745 |
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Turn a list of 2-tuples of run/lumi numbers into a list of the format |
| 746 |
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R1:L1,R2:L2-R3:L3 which is acceptable to CMSSW LumiBlockRange variable |
| 747 |
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""" |
| 748 |
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|
| 749 |
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lumis.sort() |
| 750 |
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parts = [] |
| 751 |
+ |
startRange = None |
| 752 |
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endRange = None |
| 753 |
+ |
|
| 754 |
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for lumiBlock in lumis: |
| 755 |
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if not startRange: # This is the first one |
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startRange = lumiBlock |
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endRange = lumiBlock |
| 758 |
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elif lumiBlock == endRange: # Same Lumi (different files?) |
| 759 |
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pass |
| 760 |
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elif lumiBlock[0] == endRange[0] and lumiBlock[1] == endRange[1] + 1: # This is a continuation |
| 761 |
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endRange = lumiBlock |
| 762 |
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else: # This is the start of a new range |
| 763 |
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part = ':'.join(map(str, startRange)) |
| 764 |
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if startRange != endRange: |
| 765 |
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part += '-' + ':'.join(map(str, endRange)) |
| 766 |
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parts.append(part) |
| 767 |
+ |
startRange = lumiBlock |
| 768 |
+ |
endRange = lumiBlock |
| 769 |
+ |
|
| 770 |
+ |
# Put out what's left |
| 771 |
+ |
if startRange: |
| 772 |
+ |
part = ':'.join(map(str, startRange)) |
| 773 |
+ |
if startRange != endRange: |
| 774 |
+ |
part += '-' + ':'.join(map(str, endRange)) |
| 775 |
+ |
parts.append(part) |
| 776 |
+ |
|
| 777 |
+ |
output = ','.join(parts) |
| 778 |
+ |
return output |
| 779 |
+ |
|
| 780 |
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|
