Source code for pm4py.algo.conformance.footprints.variants.log_extensive

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from enum import Enum
from typing import Optional, Dict, Any, Union, Tuple, List, Set

[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]class ConfOutputs(Enum): FOOTPRINTS = "footprints" START_ACTIVITIES = "start_activities" END_ACTIVITIES = "end_activities" MIN_LENGTH_FIT = "min_length_fit" IS_FOOTPRINTS_FIT = "is_footprints_fit"
[docs]def apply(log_footprints: Dict[str, Any], model_footprints: Dict[str, Any], parameters: Optional[Dict[Any, Any]] = None) -> Dict[str, Any]: """ Apply footprints conformance between a log footprints object and a model footprints object Parameters ----------------- log_footprints Footprints of the log (entire log) model_footprints Footprints of the model parameters Parameters of the algorithm Returns ------------------ violations Dictionary containing all the violations """ if parameters is None: parameters = {} if type(log_footprints) is list: raise Exception( "it is possible to apply this variant only on overall log footprints, not trace-by-trace footprints!") log_configurations = log_footprints[Outputs.SEQUENCE.value].union(log_footprints[Outputs.PARALLEL.value]) model_configurations = model_footprints[Outputs.SEQUENCE.value].union(model_footprints[Outputs.PARALLEL.value]) ret = {} ret[ConfOutputs.FOOTPRINTS.value] = set(x for x in log_configurations if x not in model_configurations) ret[ConfOutputs.START_ACTIVITIES.value] = set(x for x in log_footprints[Outputs.START_ACTIVITIES.value] if x not in model_footprints[ Outputs.START_ACTIVITIES.value]) if Outputs.START_ACTIVITIES.value in model_footprints else set() ret[ConfOutputs.END_ACTIVITIES.value] = set( x for x in log_footprints[Outputs.END_ACTIVITIES.value] if x not in model_footprints[ Outputs.END_ACTIVITIES.value]) if Outputs.END_ACTIVITIES.value in model_footprints else set() ret[ConfOutputs.MIN_LENGTH_FIT.value] = log_footprints[Outputs.MIN_TRACE_LENGTH.value] >= model_footprints[ Outputs.MIN_TRACE_LENGTH.value] if Outputs.MIN_TRACE_LENGTH.value in log_footprints and Outputs.MIN_TRACE_LENGTH.value in model_footprints else True ret[ConfOutputs.IS_FOOTPRINTS_FIT.value] = len(ret[ConfOutputs.FOOTPRINTS.value]) == 0 and len( ret[ConfOutputs.START_ACTIVITIES.value]) == 0 and len( ret[ConfOutputs.END_ACTIVITIES.value]) == 0 and ret[ConfOutputs.MIN_LENGTH_FIT.value] return ret