DQMHistAnalysisSVDMiraBelle_test.py

#!/usr/bin/env python3
 
 
 
# script to test module which create monitoring variables for SVD
#
# Usage: basf2 DQMHistAnalysisSVDMiraBelle_test.py input_files
#   input_files: one of the raw dqm files placed under /group/belle2/phase3/dqm/dqmsrv1/
#
# i.e basf2 DQMHistAnalysisSVDMiraBelle_test.py /group/belle2/phase3/dqm/dqmsrv1/e0018/dqmhisto/erecodqm_e0018r001313.root
# Output file in format: mon_e0018r001313_online.root contains moniotring variables which can be pinted by script:
# dqm/analysis/examples/printDQMFile.C
 
import basf2 as b2
import os
import sys
import re
 
argv = sys.argv
if len(argv) < 2:
    print(f'\nUsage: {argv[0]} input_filename\n')
    exit(1)
inputFile = sys.argv[1]
 
directory, fileName = os.path.split(inputFile)
exp_nr = int(re.findall(r'\d+', fileName)[0])
run_nr = int(re.findall(r'\d+', fileName)[1])
 
# Set log level
b2.set_log_level(b2.LogLevel.INFO)
 
# Create main path
main = b2.create_path()
 
# Load histograms from file
main.add_module('DQMHistAnalysisInputRootFile',
                Experiment=0,
                RunList=[0],
                FileList=[inputFile],
                EventsList=[1],
                SelectHistograms=["SVDExpReco/*",
                                  "SVDClsTrk/*",
                                  "SVDEfficiency/*"],
                EventInterval=1,
                NullHistogramMode=False)
# main.add_module("DQMHistAutoCanvas") # Plot all Histo from Input not needed
 
# Run analysis module
main.add_module('DQMHistAnalysisSVDOnMiraBelle')
 
# Save canvases based on histograms used to prepare monitoring variables and monitoring variables to root file
main.add_module('DQMHistAnalysisOutputMonObj',
                exp=exp_nr,
                run=run_nr)
 
# Process the events
b2.print_path(main)
b2.process(main)
 
# print out the summary
print(b2.statistics)