Source code for pm4py.statistics.ocel.ot_activities

from pm4py.util import constants
from pm4py.objects.ocel import constants as ocel_constants
from enum import Enum
from pm4py.util import exec_utils
from pm4py.objects.ocel.obj import OCEL
from typing import Optional, Dict, Any, Collection




class Parameters(Enum):
    ACTIVITY_KEY = constants.PARAMETER_CONSTANT_ACTIVITY_KEY
    OBJECT_TYPE = ocel_constants.PARAM_OBJECT_TYPE
    TEMP_COLUMN = "temp_column"
    TEMP_SEPARATOR = "temp_separator"





def get_object_type_activities(
    ocel: OCEL, parameters: Optional[Dict[Any, Any]] = None
) -> Dict[str, Collection[str]]:
    """
    Gets the set of activities performed for each object type

    Parameters
    ----------------
    ocel
        Object-centric event log
    parameters
        Parameters of the algorithm, including:
        - Parameters.ACTIVITY_KEY => the activity key
        - Parameters.OBJECT_TYPE => the object type column

    Returns
    ----------------
    dict
        A dictionary having as key the object types and as values the activities performed for that object type
    """
    if parameters is None:
        parameters = {}

    activity_key = exec_utils.get_param_value(
        Parameters.ACTIVITY_KEY, parameters, ocel.event_activity
    )
    object_type_column = exec_utils.get_param_value(
        Parameters.OBJECT_TYPE, parameters, ocel.object_type_column
    )

    matching_dict = {}
    prel_dict = (
        ocel.relations.groupby([activity_key, object_type_column])
        .size()
        .to_dict()
    )

    for el in prel_dict:
        if not el[1] in matching_dict:
            matching_dict[el[1]] = set()
        matching_dict[el[1]].add(el[0])

    return matching_dict