'''
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.objects.dfg import utils
from enum import Enum
from typing import Optional, Dict, Any, Union, Tuple
[docs]class Outputs(Enum):
DFG = "dfg"
SEQUENCE = "sequence"
PARALLEL = "parallel"
START_ACTIVITIES = "start_activities"
END_ACTIVITIES = "end_activities"
ACTIVITIES = "activities"
SKIPPABLE = "skippable"
ACTIVITIES_ALWAYS_HAPPENING = "activities_always_happening"
MIN_TRACE_LENGTH = "min_trace_length"
TRACE = "trace"
[docs]def apply(dfg: Dict[Tuple[str, str], int], parameters: Optional[Dict[Any, Any]] = None) -> Dict[str, Any]:
"""
Discovers a footprint object from a DFG
Parameters
--------------
dfg
DFG
parameters
Parameters of the algorithm
Returns
--------------
footprints_obj
Footprints object
"""
if parameters is None:
parameters = {}
parallel = {(x, y) for (x, y) in dfg if (y, x) in dfg}
sequence = {(x, y) for (x, y) in dfg if not (y, x) in dfg}
# replace this if needed
start_activities = set(utils.dfg_utils.infer_start_activities(dfg))
# replace this if needed
end_activities = set(utils.dfg_utils.infer_end_activities(dfg))
activities = set(utils.dfg_utils.get_activities_from_dfg(dfg))
return {Outputs.SEQUENCE.value: sequence, Outputs.PARALLEL.value: parallel,
Outputs.START_ACTIVITIES.value: start_activities, Outputs.END_ACTIVITIES.value: end_activities, Outputs.ACTIVITIES.value: activities}