run_channelMask_calibration.py

#!/usr/bin/env python3
 
 
 
# ---------------------------------------------------------------------------------------
# CAF calibration script: channel masking calibration
# data type: cdst
#
# usage: basf2 run_channelMask_calibration.py expNo runFirst runLast
# ---------------------------------------------------------------------------------------
 
import sys
import glob
from caf import backends
from caf.framework import CAF
from basf2 import B2ERROR
from top_calibration import channel_mask_calibration
 
# ----- those parameters need to be adjusted before running -----------------------
#
globalTags = ['online']  # highest priority first
localDBs = []  # highest priority first, local DB's have higher priority than global tags
data_dir = '/group/belle2/dataprod/Data/OfficialReco/proc11/'
skim_dir = 'skim/hlt_hadron/cdst/sub00'
main_output_dir = 'top_calibration'
unpack = True  # True if data unpacking is required (i.e. for raw data or for new cdst format)
#
# ---------------------------------------------------------------------------------------
 
# Argument parsing
argvs = sys.argv
if len(argvs) < 4:
    print("usage: basf2", argvs[0], "experiment runFirst runLast")
    sys.exit()
experiment = int(argvs[1])
run_first = int(argvs[2])
run_last = int(argvs[3])
 
# Make list of files
inputFiles = []
expNo = 'e' + f'{experiment:04d}'
for run in range(run_first, run_last + 1):
    runNo = 'r' + f'{run:05d}'
    filename = f"{data_dir}/{expNo}/*/{runNo}/{skim_dir}/cdst*.root"
    inputFiles += glob.glob(filename)
 
if len(inputFiles) == 0:
    B2ERROR('No cdst files found in ' + data_dir + ' for exp=' + str(experiment) +
            ' runFirst=' + str(run_first) + ' runLast=' + str(run_last) +
            ' (skim_dir=' + skim_dir + ')')
    sys.exit()
 
# Output folder name
run_range = 'r' + f'{run_first:05d}' + '-' + f'{run_last:05d}'
output_dir = f"{main_output_dir}/channelMask-{expNo}-{run_range}"
 
# Define calibration
cal = channel_mask_calibration(inputFiles, globalTags, localDBs, unpack)
cal.backend_args = {"queue": "s"}
 
# Add calibration to CAF
cal_fw = CAF()
cal_fw.add_calibration(cal)
cal_fw.output_dir = output_dir
cal_fw.backend = backends.LSF()
 
# Run calibration
cal_fw.run()