#$Id: MicroDST_Ganga.py,v 1.2 2009/03/23 17:18:47 jpalac Exp $

#------------------------------------------------------------------------------
dv = DaVinci( version = 'v25r6', user_release_area='/project/bfys/dremensk/new' )

#------------------------------------------------------------------------------
# The applicaiton configuration
#------------------------------------------------------------------------------
# Define the configuration file(s) to use
# Extra options
# Appended to the end of the main options to override default settings
dv.optsfile = "DaVinci-Staging.py"

#------------------------------------------------------------------------------
# Create a job
#------------------------------------------------------------------------------
j = Job( application = dv, name = 'DaVinciStager' )
#j.application.make()
#------------------------------------------------------------------------------
# Input data
# Can either be specified in the main configuration files (DaVinci.py etc.) or
# locally here as an LHCbDataset
#------------------------------------------------------------------------------

#ds = dv.readInputData( "/project/bfys/dremensk/DaVinci/validation/100_CERN_01_03.py" )

ds = dv.readInputData('/project/bfys/dremensk/DaVinci/validation/100_CERN_01_03.py') 
j.inputdata = ds
j.inputdata.XMLCatalogueSlice = File('/project/bfys/dremensk/DaVinci/validation/100_CERN_01.xml')
j.inputdata.depth=2
#------------------------------------------------------------------------------
#j.outputdata.location = '/project/bfys/dremensk'
config.LHCb.DataOutput='/project/bfys/dremensk'

j.inputsandbox = [ '/project/bfys/dremensk/DaVinci/validation/FileStager.py' ]

#------------------------------------------------------------------------------
# Define where to run
#------------------------------------------------------------------------------
# Run interactively on the local machine
#j.backend    = Interactive()
# Run directly on the local machine, but in the background
#j.backend    = Local()
# Submit to an LSF batch system, using the 8nm queue
#j.backend    = LSF( queue = '8nm' )
# Submit to a condor batch system
#j.backend    = Condor()
# Submit to a PBS batch system
#j.backend    = PBS()
# Submit to the grid.
j.backend    = Local()
#------------------------------------------------------------------------------

#------------------------------------------------------------------------------
# Submit the job
#------------------------------------------------------------------------------
j.submit()
#------------------------------------------------------------------------------