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

'''
    This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

    PM4Py is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.

    PM4Py 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 General Public License for more details.

    You should have received a copy of the GNU General Public License
    along with PM4Py.  If not, see <https://www.gnu.org/licenses/>.
'''
from pm4py.util.xes_constants import DEFAULT_NAME_KEY
from pm4py.util import exec_utils
from pm4py.util import constants
from enum import Enum
from typing import Optional, Dict, Any, Union, Tuple, List, Set
from pm4py.objects.log.obj import EventLog
from pm4py.objects.conversion.log import converter as log_converter


[docs]class Parameters(Enum): ATTRIBUTE_KEY = constants.PARAMETER_CONSTANT_ATTRIBUTE_KEY ACTIVITY_KEY = constants.PARAMETER_CONSTANT_ACTIVITY_KEY START_TIMESTAMP_KEY = constants.PARAMETER_CONSTANT_START_TIMESTAMP_KEY TIMESTAMP_KEY = constants.PARAMETER_CONSTANT_TIMESTAMP_KEY CASE_ID_KEY = constants.PARAMETER_CONSTANT_CASEID_KEY MAX_NO_POINTS_SAMPLE = "max_no_of_points_to_sample" KEEP_ONCE_PER_CASE = "keep_once_per_case"
[docs]def get_end_activities(log: EventLog, parameters: Optional[Dict[Union[str, Parameters], Any]] = None) -> Dict[str, int]: """ Get the end attributes of the log along with their count Parameters ---------- log Log parameters Parameters of the algorithm, including: Parameters.ACTIVITY_KEY -> Attribute key (must be specified if different from concept:name) Returns ---------- end_activities Dictionary of end attributes associated with their count """ if parameters is None: parameters = {} attribute_key = exec_utils.get_param_value(Parameters.ACTIVITY_KEY, parameters, DEFAULT_NAME_KEY) log = log_converter.apply(log, variant=log_converter.Variants.TO_EVENT_LOG, parameters=parameters) end_activities = {} for trace in log: if len(trace) > 0: if attribute_key in trace[-1]: activity_last_event = trace[-1][attribute_key] if activity_last_event not in end_activities: end_activities[activity_last_event] = 0 end_activities[activity_last_event] = end_activities[activity_last_event] + 1 return end_activities