trainBackgroundClusterFilter.py

#!/usr/bin/env python3
 
 
 
import os
import sys
import os.path
 
from tracking.run.event_generation import ReadOrGenerateEventsRun
from trackfindingcdc.run.training import TrainingRunMixin
 
 
class BackgroundClusterFilterTrainingRun(TrainingRunMixin, ReadOrGenerateEventsRun):
    """Run to record clusters encountered at the ClusterBackgroundDetector and retrain its mva method"""
 
    
    n_events = 1000
    
    generator_module = "generic"
    
    bkg_files = os.path.join(os.environ["VO_BELLE2_SW_DIR"], "bkg")
 
    def create_path(self):
        """Setup the recording path after the simulation"""
        path = super().create_path()
        path.add_module("TFCDC_WireHitPreparer",
                        flightTimeEstimation="outwards")
 
        
        if self.task == "train":
            varSets = [
                "basic",
                "bkg_truth",
            ]
 
        elif self.task == "eval":
            varSets = [
                "filter(mva_bkg)",
                "bkg_truth",
            ]
 
        elif self.task == "explore":
            # Change me.
            varSets = [
                "basic",
                "bkg_truth",
                "filter(mva_bkg)",
            ]
 
        path.add_module("TFCDC_ClusterPreparer",
                        ClusterFilter="unionrecording",
                        ClusterFilterParameters={
                            "rootFileName": self.sample_file_name,
                            "varSets": varSets,
                        })
 
        return path
 
 
def main():
    run = BackgroundClusterFilterTrainingRun()
    run.configure_and_execute_from_commandline()
 
 
if __name__ == "__main__":
    import logging
    logging.basicConfig(stream=sys.stdout, level=logging.INFO, format='%(levelname)s:%(message)s')
    main()