Source code for pm4py.algo.discovery.inductive.cuts.factory
from typing import List, Optional, Tuple, TypeVar, Dict, Any
from pm4py.algo.discovery.inductive.cuts.abc import Cut
from pm4py.algo.discovery.inductive.cuts.concurrency import (
ConcurrencyCutUVCL,
ConcurrencyCutDFG,
)
from pm4py.algo.discovery.inductive.cuts.loop import LoopCutUVCL, LoopCutDFG
from pm4py.algo.discovery.inductive.cuts.sequence import (
StrictSequenceCutUVCL,
StrictSequenceCutDFG,
SequenceCutUVCL,
SequenceCutDFG,
)
from pm4py.algo.discovery.inductive.cuts.xor import (
ExclusiveChoiceCutUVCL,
ExclusiveChoiceCutDFG,
)
from pm4py.algo.discovery.inductive.dtypes.im_ds import (
IMDataStructure,
IMDataStructureUVCL,
IMDataStructureDFG,
)
from pm4py.algo.discovery.inductive.variants.instances import IMInstance
from pm4py.objects.process_tree.obj import ProcessTree
from pm4py.util import exec_utils
from enum import Enum
T = TypeVar("T", bound=IMDataStructure)
S = TypeVar("S", bound=Cut)
[docs]
class Parameters(Enum):
DISABLE_STRICT_SEQUENCE_CUT = "disable_strict_sequence_cut"
[docs]
class CutFactory:
[docs]
@classmethod
def get_cuts(
cls,
obj: T,
inst: IMInstance,
parameters: Optional[Dict[str, Any]] = None,
) -> List[S]:
if parameters is None:
parameters = {}
disable_strict_sequence_cut = exec_utils.get_param_value(
Parameters.DISABLE_STRICT_SEQUENCE_CUT, parameters, False
)
if inst is IMInstance.IM or inst is IMInstance.IMf:
if type(obj) is IMDataStructureUVCL:
sequence_cut = StrictSequenceCutUVCL
if disable_strict_sequence_cut:
sequence_cut = SequenceCutUVCL
return [
ExclusiveChoiceCutUVCL,
sequence_cut,
ConcurrencyCutUVCL,
LoopCutUVCL,
]
if inst is IMInstance.IMd:
if type(obj) is IMDataStructureDFG:
sequence_cut = StrictSequenceCutDFG
if disable_strict_sequence_cut:
sequence_cut = SequenceCutDFG
return [
ExclusiveChoiceCutDFG,
sequence_cut,
ConcurrencyCutDFG,
LoopCutDFG,
]
return list()
[docs]
@classmethod
def find_cut(
cls,
obj: IMDataStructure,
inst: IMInstance,
parameters: Optional[Dict[str, Any]] = None,
) -> Optional[Tuple[ProcessTree, List[T]]]:
for c in CutFactory.get_cuts(obj, inst, parameters):
r = c.apply(obj, parameters)
if r is not None:
return r
return None