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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.evaluation.precision.variants import etconformance_token
from pm4py.algo.evaluation.precision.variants import align_etconformance
from pm4py.objects.petri_net.utils.check_soundness import check_easy_soundness_net_in_fin_marking
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
from pm4py.objects.petri_net.obj import PetriNet, Marking
import pandas as pd
class Variants(Enum):
ETCONFORMANCE_TOKEN = etconformance_token
ALIGN_ETCONFORMANCE = align_etconformance
ETCONFORMANCE_TOKEN = Variants.ETCONFORMANCE_TOKEN
ALIGN_ETCONFORMANCE = Variants.ALIGN_ETCONFORMANCE
VERSIONS = {ETCONFORMANCE_TOKEN, ALIGN_ETCONFORMANCE}
def apply(log: Union[EventLog, EventStream, pd.DataFrame], net: PetriNet, marking: Marking, final_marking: Marking, parameters: Optional[Dict[Any, Any]] = None, variant=None) -> float:
"""
Method to apply ET Conformance
Parameters
-----------
log
Trace log
net
Petri net
marking
Initial marking
final_marking
Final marking
parameters
Parameters of the algorithm, including:
pm4py.util.constants.PARAMETER_CONSTANT_ACTIVITY_KEY -> Activity key
variant
Variant of the algorithm that should be applied:
- Variants.ETCONFORMANCE_TOKEN
- Variants.ALIGN_ETCONFORMANCE
"""
if parameters is None:
parameters = {}
# execute the following part of code when the variant is not specified by the user
if variant is None:
if not (check_easy_soundness_net_in_fin_marking(
net,
marking,
final_marking)):
# in the case the net is not a easy sound workflow net, we must apply token-based replay
variant = ETCONFORMANCE_TOKEN
else:
# otherwise, use the align-etconformance approach (safer, in the case the model contains duplicates)
variant = ALIGN_ETCONFORMANCE
return exec_utils.get_variant(variant).apply(log, net, marking,
final_marking, parameters=parameters)