register_user_models.py

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from GBSModelRegistry     import  GetModelRegistry
from GBSModel             import  GBSModel

from GBSJobAnalyser       import GBSJobAnalyser
from GBSJob               import GBSJob
from GBSManager           import GBSManager

from MinosDCMTask         import MinosDCMTask

from MinosRSMJob          import MinosRSMJob
from MinosRSMJobAnalyser  import MinosRSMJobAnalyser
from MinosRSMTask         import MinosRSMTask

##  Register DCMQuery model

description = """This model extends Task so that it incorporates a DCM query.
Other roles are unchanged.
"""

m = GBSModel("DCMquery","The DCM Query",description)

m.AddMapping("Manager",     GBSManager, {})
m.AddMapping("Task",        MinosDCMTask,{})
m.AddMapping("Job",         GBSJob, {})
m.AddMapping("JobAnalyser", GBSJobAnalyser,{})

GetModelRegistry().AddModel(m)

##  Register RSMonteCarlo model

description = """The Run Seeded Monte Carlo (RSMonteCarlo) model is one in which the
Monte Carlo random number seed is determined by the run and subrun
numbers. Job names are of the form:-

  job_rrrrrrrr_ssss

  where

    rrrrrrrr  is an 8 digit zero padded run number
    ssss      is a 4 digit zero padded subrun number

The local job environment always includes:-

  run=<run-number>
  subrun=<subrun-number>

The JobAnalyser supports the request: NEW_SEED which involves renaming
the job to the next free subrun number for the job's run number.
"""

m = GBSModel("RSMonteCarlo","The Run Seeded Monte Carlo",description)

m.AddMapping("Manager",     GBSManager, {})
m.AddMapping("Task",        MinosRSMTask,{})
m.AddMapping("Job",         MinosRSMJob, {})
m.AddMapping("JobAnalyser", MinosRSMJobAnalyser,{})

GetModelRegistry().AddModel(m)

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