Source code for pm4py.statistics.eventually_follows.pandas.get

from enum import Enum

from pm4py.algo.discovery.dfg.adapters.pandas.df_statistics import (
    get_partial_order_dataframe,
)
from pm4py.util import exec_utils, constants, xes_constants
from typing import Optional, Dict, Any, Union, Tuple
import pandas as pd




class Parameters(Enum):
    ACTIVITY_KEY = constants.PARAMETER_CONSTANT_ACTIVITY_KEY
    CASE_ID_KEY = constants.PARAMETER_CONSTANT_CASEID_KEY
    TIMESTAMP_KEY = constants.PARAMETER_CONSTANT_TIMESTAMP_KEY
    START_TIMESTAMP_KEY = constants.PARAMETER_CONSTANT_START_TIMESTAMP_KEY
    KEEP_FIRST_FOLLOWING = "keep_first_following"





def apply(
    dataframe: pd.DataFrame,
    parameters: Optional[Dict[Union[str, Parameters], Any]] = None,
) -> Dict[Tuple[str, str], int]:
    if parameters is None:
        parameters = {}

    if parameters is None:
        parameters = {}

    activity_key = exec_utils.get_param_value(
        Parameters.ACTIVITY_KEY, parameters, xes_constants.DEFAULT_NAME_KEY
    )
    case_id_glue = exec_utils.get_param_value(
        Parameters.CASE_ID_KEY, parameters, constants.CASE_CONCEPT_NAME
    )
    timestamp_key = exec_utils.get_param_value(
        Parameters.TIMESTAMP_KEY,
        parameters,
        xes_constants.DEFAULT_TIMESTAMP_KEY,
    )
    start_timestamp_key = exec_utils.get_param_value(
        Parameters.START_TIMESTAMP_KEY, parameters, None
    )
    keep_first_following = exec_utils.get_param_value(
        Parameters.KEEP_FIRST_FOLLOWING, parameters, False
    )

    partial_order_dataframe = get_partial_order_dataframe(
        dataframe,
        start_timestamp_key=start_timestamp_key,
        timestamp_key=timestamp_key,
        case_id_glue=case_id_glue,
        activity_key=activity_key,
        keep_first_following=keep_first_following,
    )

    ret_dict = (
        partial_order_dataframe.groupby([activity_key, activity_key + "_2"])
        .size()
        .to_dict()
    )

    # assure to avoid problems with np.float64, by using the Python float type
    for el in ret_dict:
        ret_dict[el] = int(ret_dict[el])

    return ret_dict