Source code for pm4py.statistics.rework.log.get

'''
    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
License, or any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License
along with this program.  If not, see this software project's root or
visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions
Contact: info@processintelligence.solutions
'''
from pm4py.util import constants, xes_constants, exec_utils
from enum import Enum
from collections import Counter
from pm4py.objects.log.obj import EventLog, EventStream
from typing import Union, Optional, Dict, Any
from pm4py.objects.conversion.log import converter as log_converter


[docs] class Parameters(Enum): ACTIVITY_KEY = constants.PARAMETER_CONSTANT_ACTIVITY_KEY
[docs] def apply( log: Union[EventLog, EventStream], parameters: Optional[Dict[Union[str, Parameters], Any]] = None, ) -> Dict[str, int]: """ Associates to each activity (with at least one rework) the number of cases in the log for which the rework happened. Parameters ------------------ log Event log parameters Parameters of the algorithm, including: - Parameters.ACTIVITY_KEY => the attribute to be used as activity Returns ------------------ dict Dictionary associating to each activity the number of cases for which the rework happened """ if parameters is None: parameters = {} log = log_converter.apply(log, variant=log_converter.Variants.TO_EVENT_LOG) activity_key = exec_utils.get_param_value( Parameters.ACTIVITY_KEY, parameters, xes_constants.DEFAULT_NAME_KEY ) ret = Counter() for trace in log: activities = Counter([x[activity_key] for x in trace]) activities = [x for x in activities if activities[x] > 1] for act in activities: ret[act] += 1 return dict(ret)