pm4py.streaming.algo.conformance.temporal.variants.classic module#

PM4Py – A Process Mining Library for Python

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class pm4py.streaming.algo.conformance.temporal.variants.classic.Parameters(*values)[source]#

Bases: Enum

ACTIVITY_KEY = 'pm4py:param:activity_key'#
START_TIMESTAMP_KEY = 'pm4py:param:start_timestamp_key'#
TIMESTAMP_KEY = 'pm4py:param:timestamp_key'#
CASE_ID_KEY = 'pm4py:param:case_id_key'#
ZETA = 'zeta'#
DICT_VARIANT = 'dict_variant'#
DICT_ID = 'dict_id'#
CASE_DICT_ID = 'case_dict_id'#
DEV_DICT_ID = 'dev_dict_id'#
class pm4py.streaming.algo.conformance.temporal.variants.classic.TemporalProfileStreamingConformance(temporal_profile: Dict[Tuple[str, str], Tuple[float, float]], parameters: Dict[Any, Any] | None = None)[source]#

Bases: StreamingAlgorithm

check_conformance(event: Tuple[str, float, float, str])[source]#

Checks the conformance according to the temporal profile

Parameters:

event – Event

message_event_is_not_complete(event: Event)[source]#

Method that is called when the event does not contain the case, or the activity, or the timestamp

Parameters:

event – Incoming event

message_deviation(dev_descr: Tuple[str, str, str, float, float])[source]#

Method that is called to signal a deviation according to the temporal profile

Parameters:

dev_descr – Description of the deviation to be printed

pm4py.streaming.algo.conformance.temporal.variants.classic.apply(temporal_profile: Dict[Tuple[str, str], Tuple[float, float]], parameters: Dict[Any, Any] | None = None)[source]#

Initialize the streaming conformance checking.

Implements the approach described in: Stertz, Florian, Jürgen Mangler, and Stefanie Rinderle-Ma. “Temporal Conformance Checking at Runtime based on Time-infused Process Models.” arXiv preprint arXiv:2008.07262 (2020).

Parameters:

  • temporal_profile – Temporal profile

  • parameters –

    Parameters of the algorithm, including:

    • Parameters.ACTIVITY_KEY => the attribute to use as activity

    • Parameters.START_TIMESTAMP_KEY => the attribute to use as start timestamp

    • Parameters.TIMESTAMP_KEY => the attribute to use as timestamp

    • Parameters.ZETA => multiplier for the standard deviation

    • Parameters.CASE_ID_KEY => column to use as case identifier

    • Parameters.DICT_VARIANT => the variant of dictionary to use

    • Parameters.CASE_DICT_ID => the identifier of the case dictionary

    • Parameters.DEV_DICT_ID => the identifier of the deviations dictionary