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

'''
    This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

    PM4Py is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.

    PM4Py is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU General Public License for more details.

    You should have received a copy of the GNU General Public License
    along with PM4Py.  If not, see <https://www.gnu.org/licenses/>.
'''
from enum import Enum

from pm4py.objects.conversion.log import converter
from pm4py.objects.log.util import sorting
from pm4py.util import exec_utils, constants, xes_constants
from typing import Optional, Dict, Any, Union, Tuple, List, Set
from pm4py.objects.log.obj import EventLog


[docs]class Parameters(Enum): ACTIVITY_KEY = constants.PARAMETER_CONSTANT_ACTIVITY_KEY TIMESTAMP_KEY = constants.PARAMETER_CONSTANT_TIMESTAMP_KEY START_TIMESTAMP_KEY = constants.PARAMETER_CONSTANT_START_TIMESTAMP_KEY KEEP_FIRST_FOLLOWING = "keep_first_following"
[docs]def apply(interval_log: EventLog, parameters: Optional[Dict[Union[str, Parameters], Any]] = None) -> Dict[Tuple[str, str], int]: if parameters is None: parameters = {} interval_log = converter.apply(interval_log, variant=converter.Variants.TO_EVENT_LOG, parameters=parameters) activity_key = exec_utils.get_param_value(Parameters.ACTIVITY_KEY, parameters, xes_constants.DEFAULT_NAME_KEY) 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, xes_constants.DEFAULT_TIMESTAMP_KEY) keep_first_following = exec_utils.get_param_value(Parameters.KEEP_FIRST_FOLLOWING, parameters, False) ret_dict = {} for trace in interval_log: sorted_trace = sorting.sort_timestamp_trace(trace, start_timestamp_key) i = 0 while i < len(sorted_trace): act1 = sorted_trace[i][activity_key] tc1 = sorted_trace[i][timestamp_key] j = i + 1 while j < len(sorted_trace): ts2 = sorted_trace[j][start_timestamp_key] act2 = sorted_trace[j][activity_key] if tc1 <= ts2: tup = (act1, act2) if tup not in ret_dict: ret_dict[tup] = 0 ret_dict[tup] = ret_dict[tup] + 1 if keep_first_following: break j = j + 1 i = i + 1 return ret_dict