Source code for pm4py.statistics.ocel.objects_ot_count

'''
    PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
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'''
from enum import Enum
from pm4py.util import exec_utils
from pm4py.objects.ocel import constants as ocel_constants
from collections import Counter
from pm4py.objects.ocel.obj import OCEL
from typing import Optional, Dict, Any


[docs] class Parameters(Enum): EVENT_ID = ocel_constants.PARAM_EVENT_ID OBJECT_ID = ocel_constants.PARAM_OBJECT_ID OBJECT_TYPE = ocel_constants.PARAM_OBJECT_TYPE
[docs] def get_objects_ot_count( ocel: OCEL, parameters: Optional[Dict[Any, Any]] = None ) -> Dict[str, Dict[str, int]]: """ Counts for each event the number of related objects per type Parameters ------------------- ocel Object-centric Event log parameters Parameters of the algorithm, including: - Parameters.EVENT_ID => the event identifier to be used - Parameters.OBJECT_ID => the object identifier to be used - Parameters.OBJECT_TYPE => the object type to be used Returns ------------------- dict_ot Dictionary associating to each event identifier a dictionary with the number of related objects """ if parameters is None: parameters = {} event_id = exec_utils.get_param_value( Parameters.EVENT_ID, parameters, ocel.event_id_column ) object_id = exec_utils.get_param_value( Parameters.OBJECT_ID, parameters, ocel.object_id_column ) object_type = exec_utils.get_param_value( Parameters.OBJECT_TYPE, parameters, ocel.object_type_column ) ref0 = ocel.relations.groupby(event_id)[object_type].agg(list).to_dict() ref = {x: Counter(y) for x, y in ref0.items()} return ref