caf_klm_channel_status.py

 
 
"""
Calibration of KLM channel status. It provides calibration constants for the KLMChannelStatus
database object.
"""
 
import collections
 
import basf2
from caf.utils import ExpRun, IoV
from prompt import CalibrationSettings, INPUT_DATA_FILTERS
from prompt.utils import events_in_basf2_file
 
 
 
 
settings = CalibrationSettings(
    name='KLM channel status',
    expert_username='sayan97',
    description=__doc__,
    input_data_formats=['raw'],
    input_data_names=['raw_beam', 'raw_cosmic', 'raw_physics'],
    input_data_filters={
        'raw_beam': [INPUT_DATA_FILTERS['Run Type']['beam'],
                     INPUT_DATA_FILTERS['Data Quality Tag']['Good Or Recoverable']],
        'raw_cosmic': [INPUT_DATA_FILTERS['Run Type']['cosmic'],
                       INPUT_DATA_FILTERS['Data Quality Tag']['Good Or Recoverable']],
        'raw_physics': [INPUT_DATA_FILTERS['Run Type']['physics'],
                        f"NOT {INPUT_DATA_FILTERS['Data Tag']['random_calib']}",
                        INPUT_DATA_FILTERS['Data Tag']['hlt_skim'],
                        INPUT_DATA_FILTERS['Data Quality Tag']['Good Or Recoverable']]
    },
    depends_on=[])
 
 
 
 
def select_input_files(file_to_iov):
    """
    Parameters:
        files_to_iov (dict): Dictionary {run : IOV}.
        reduced_file_to_iov (dict): Selected data.
    """
    run_to_files = collections.defaultdict(list)
    for input_file, file_iov in file_to_iov.items():
        run = ExpRun(exp=file_iov.exp_low, run=file_iov.run_low)
        # Reject files without events.
        if events_in_basf2_file(input_file) > 0:
            run_to_files[run].append(input_file)
    reduced_file_to_iov = collections.OrderedDict()
    for run, files in run_to_files.items():
        for input_file in files:
            reduced_file_to_iov[input_file] = IoV(*run, *run)
    return reduced_file_to_iov
 
 
 
 
def get_calibrations(input_data, **kwargs):
    """
    Parameters:
      input_data (dict): Should contain every name from the 'input_data_names' variable as a key.
        Each value is a dictionary with {"/path/to/file_e1_r5.root": IoV(1,5,1,5), ...}. Useful for
        assigning to calibration.files_to_iov
 
      **kwargs: Configuration options to be sent in. Since this may change we use kwargs as a way to help prevent
        backwards compatibility problems. But you could use the correct arguments in b2caf-prompt-run for this
        release explicitly if you want to.
 
        Currently only kwargs["requested_iov"] is used. This is the output IoV range that your payloads should
        correspond to. Generally your highest ExpRun payload should be open ended e.g. IoV(3,4,-1,-1)
 
    Returns:
      list(caf.framework.Calibration): All of the calibration objects we want to assign to the CAF process
    """
    # Set up config options
 
    # In this script we want to use one sources of input data.
    # Get the input files  from the input_data variable
    file_to_iov_raw_beam = input_data['raw_beam']
    file_to_iov_raw_cosmic = input_data['raw_cosmic']
    file_to_iov_raw_physics = input_data['raw_physics']
 
    # Select input files (all data are necessary, only removes empty files).
    reduced_file_to_iov_raw_beam = select_input_files(file_to_iov_raw_beam)
    reduced_file_to_iov_raw_cosmic = select_input_files(file_to_iov_raw_cosmic)
    reduced_file_to_iov_raw_physics = select_input_files(file_to_iov_raw_physics)
 
    # Merge all input data.
    input_files_raw = list(reduced_file_to_iov_raw_beam.keys())
    input_files_raw.extend(list(reduced_file_to_iov_raw_cosmic.keys()))
    input_files_raw.extend(list(reduced_file_to_iov_raw_physics.keys()))
    input_files_raw.sort()
    basf2.B2INFO(f'Total number of raw-data files used as input = {len(input_files_raw)}')
 
    if not input_files_raw:
        raise Exception('No valid input files found!')
 
    # Get the overall IoV we our process should cover. Includes the end values that we may want to ignore since our output
    # IoV should be open ended. We could also use this as part of the input data selection in some way.
    requested_iov = kwargs['requested_iov']
 
    from caf.utils import IoV
    # The actual value our output IoV payload should have. Notice that we've set it open ended.
    output_iov = IoV(requested_iov.exp_low, requested_iov.run_low, -1, -1)
 
    
    from ROOT import Belle2  # noqa: make the Belle2 namespace available
    from ROOT.Belle2 import KLMChannelStatusAlgorithm
 
    alg = KLMChannelStatusAlgorithm()
 
    
 
    from caf.framework import Calibration, Collection
 
    cal_klm = Calibration('KLMChannelStatus')
 
    
 
    from klm_calibration_utils import get_channel_status_pre_collector_path
 
    if input_files_raw:
        coll_raw = get_collector('raw')
        rec_path_raw = get_channel_status_pre_collector_path()
 
        collection_raw = Collection(collector=coll_raw,
                                    input_files=input_files_raw,
                                    pre_collector_path=rec_path_raw)
 
        cal_klm.add_collection(name='raw', collection=collection_raw)
 
    
 
    cal_klm.algorithms = [alg]
 
    from klm_channel_status import KLMChannelStatus
 
    for algorithm in cal_klm.algorithms:
        algorithm.strategy = KLMChannelStatus
        algorithm.params = {'iov_coverage': output_iov}
 
    # You must return all calibrations you want to run in the prompt process, even if it's only one
    return [cal_klm]
 
 
 
 
def get_collector(input_data_name):
    """
    Return the correct KLMChannelStatusCollector module setup for each data type.
    Placed here so it can be different for prompt compared to standard.
    """
 
    if input_data_name == 'raw':
        return basf2.register_module('KLMChannelStatusCollector')
    raise Exception("Unknown input data name used when setting up collector")