prodmc.py

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#!/usr/bin/env python
"""
_prodmc_

Scenario supporting MC production

"""

import os
import sys

from Configuration.DataProcessing.Scenario import Scenario
import FWCore.ParameterSet.Config as cms
from Configuration.PyReleaseValidation.ConfigBuilder import ConfigBuilder
from Configuration.PyReleaseValidation.ConfigBuilder import Options
from Configuration.PyReleaseValidation.ConfigBuilder import defaultOptions



class prodmc(Scenario):
    """
    _prodmc_

    Implement configuration building for MC production 

    """

    def dqmHarvesting(self, datasetName, runNumber, globalTag, **args):
        """
        _dqmHarvesting_

        DQM Harvesting for MC production

        """
        options = defaultOptions
        options.scenario = "pp"
        options.step = "HARVESTING:validationprodHarvesting"
        options.isMC = True
        options.isData = False
        options.beamspot = None
        options.eventcontent = None
        options.name = "EDMtoMEConvert"
        options.conditions = "FrontierConditions_GlobalTag,%s" % globalTag
        options.arguments = ""
        options.evt_type = ""
        options.filein = []
 
        process = cms.Process("HARVESTING")
        if args.get('newDQMIO', False):
            process.source = cms.Source("DQMRootSource")
        else:
            process.source = cms.Source("PoolSource")
        configBuilder = ConfigBuilder(options, process = process)
        configBuilder.prepare()

        #
        # customise process for particular job
        #
        process.source.processingMode = cms.untracked.string('RunsAndLumis')
        process.source.fileNames = cms.untracked(cms.vstring())
        process.maxEvents.input = -1
        process.dqmSaver.workflow = datasetName
        if args.has_key('referenceFile') and args.get('referenceFile', ''):
            process.DQMStore.referenceFileName = \
                                cms.untracked.string(args['referenceFile'])
        
        return process