Source code for pm4py.algo.discovery.dfg.variants.freq_triples

from collections import Counter
from enum import Enum

from pm4py.util import constants, exec_utils
from pm4py.util import xes_constants as xes_util
from typing import Optional, Dict, Any, Union, Tuple
from pm4py.objects.log.obj import EventLog, EventStream




class Parameters(Enum):
    ACTIVITY_KEY = constants.PARAMETER_CONSTANT_ACTIVITY_KEY





def apply(
    log: Union[EventLog, EventStream],
    parameters: Optional[Dict[Union[str, Parameters], Any]] = None,
) -> Dict[Tuple[str, str, str], int]:
    return freq_triples(log, parameters=parameters)





def freq_triples(
    log: Union[EventLog, EventStream],
    parameters: Optional[Dict[Union[str, Parameters], Any]] = None,
) -> Dict[Tuple[str, str, str], int]:
    """
    Counts the number of directly follows occurrences, i.e. of the form <...a,b...>, in an event log.

    Parameters
    ----------
    log
        Trace log
    parameters
        Possible parameters passed to the algorithms:
            activity_key -> Attribute to use as activity

    Returns
    -------
    dfg
        DFG graph
    """
    if parameters is None:
        parameters = {}
    activity_key = exec_utils.get_param_value(
        Parameters.ACTIVITY_KEY, parameters, xes_util.DEFAULT_NAME_KEY
    )
    dfgs = map(
        (
            lambda t: [
                (
                    t[i - 2][activity_key],
                    t[i - 1][activity_key],
                    t[i][activity_key],
                )
                for i in range(2, len(t))
            ]
        ),
        log,
    )
    return dict(Counter([dfg for lista in dfgs for dfg in lista]))