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| ''' | |
| 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.algo.conformance.tokenreplay.variants import token_replay, backwards | |
| from enum import Enum | |
| from pm4py.util import exec_utils | |
| from typing import Optional, Dict, Any, Union | |
| from pm4py.objects.log.obj import EventLog, EventStream | |
| import pandas as pd | |
| from pm4py.objects.petri_net.obj import PetriNet, Marking | |
| from pm4py.util import typing | |
| class Variants(Enum): | |
| TOKEN_REPLAY = token_replay | |
| BACKWARDS = backwards | |
| VERSIONS = {Variants.TOKEN_REPLAY, Variants.BACKWARDS} | |
| DEFAULT_VARIANT = Variants.TOKEN_REPLAY | |
| def apply(log: Union[EventLog, EventStream, pd.DataFrame], net: PetriNet, initial_marking: Marking, final_marking: Marking, parameters: Optional[Dict[Any, Any]] = None, variant=DEFAULT_VARIANT) -> typing.ListAlignments: | |
| """ | |
| Method to apply token-based replay | |
| Parameters | |
| ----------- | |
| log | |
| Log | |
| net | |
| Petri net | |
| initial_marking | |
| Initial marking | |
| final_marking | |
| Final marking | |
| parameters | |
| Parameters of the algorithm, including: | |
| Parameters.ACTIVITY_KEY -> Activity key | |
| variant | |
| Variant of the algorithm to use: | |
| - Variants.TOKEN_REPLAY | |
| - Variants.BACKWARDS | |
| """ | |
| if parameters is None: | |
| parameters = {} | |
| return exec_utils.get_variant(variant).apply(log, net, initial_marking, | |
| final_marking, parameters=parameters) | |
| def get_diagnostics_dataframe(log: Union[EventLog, EventStream, pd.DataFrame], tbr_output: typing.ListAlignments, variant=DEFAULT_VARIANT, parameters: Optional[Dict[Any, Any]] = None) -> pd.DataFrame: | |
| """ | |
| Gets the results of token-based replay in a dataframe | |
| Parameters | |
| -------------- | |
| log | |
| Event log | |
| tbr_output | |
| Output of the token-based replay technique | |
| variant | |
| Variant of the algorithm to use: | |
| - Variants.TOKEN_REPLAY | |
| - Variants.BACKWARDS | |
| Returns | |
| -------------- | |
| dataframe | |
| Diagnostics dataframe | |
| """ | |
| if parameters is None: | |
| parameters = {} | |
| return exec_utils.get_variant(variant).get_diagnostics_dataframe(log, tbr_output, parameters=parameters) | |