'''
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 pm4py.objects.ocel.obj import OCEL
from typing import Optional, Dict, Any
from enum import Enum
from pm4py.util import exec_utils
[docs]class Parameters(Enum):
EVENT_NUM_ATTRIBUTES = "num_ev_attr"
[docs]def apply(ocel: OCEL, parameters: Optional[Dict[Any, Any]] = None):
"""
Enables the extraction of a given collection of numeric event attributes in the feature table
(specified inside the "num_ev_attr" parameter).
Parameters
----------------
ocel
OCEL
parameters
Parameters of the algorithm:
- Parameters.EVENT_NUM_ATTRIBUTES => collection of numeric attributes to consider for feature extraction
Returns
----------------
data
Extracted feature values
feature_names
Feature names
"""
if parameters is None:
parameters = {}
ordered_events = list(ocel.events[ocel.event_id_column])
data = []
feature_names = []
event_num_attributes = exec_utils.get_param_value(Parameters.EVENT_NUM_ATTRIBUTES, parameters, None)
if event_num_attributes:
feature_names = feature_names + ["@@event_num_"+x for x in event_num_attributes]
attr_values = {}
for attr in event_num_attributes:
values = ocel.events[[ocel.event_id_column, attr]].dropna(subset=[attr]).to_dict("records")
values = {x[ocel.event_id_column]: x[attr] for x in values}
attr_values[attr] = values
for ev in ordered_events:
data.append([])
for attr in event_num_attributes:
data[-1].append(float(attr_values[attr][ev]) if ev in attr_values[attr] else 0.0)
return data, feature_names