Source code for pm4py.algo.transformation.ocel.features.objects.object_work_in_progress

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from pm4py.objects.ocel.obj import OCEL
from typing import Optional, Dict, Any
from pm4py.algo.transformation.ocel.features.objects import object_lifecycle_duration
import pandas as pd

[docs]def apply(ocel: OCEL, parameters: Optional[Dict[Any, Any]] = None): """ Assigns to each object a feature which is the number of objects that are open during the lifecycle of the object. Parameters ---------------- ocel OCEL parameters Parameters of the algorithm: - Parameters.OBJECT_STR_ATTRIBUTES => collection of string attributes to consider for feature extraction. Returns ---------------- data Extracted feature values feature_names Feature names """ if parameters is None: parameters = {} from intervaltree import Interval, IntervalTree data, feature_names = object_lifecycle_duration.apply(ocel, parameters=parameters) obj_dur = pd.DataFrame(data, columns=feature_names) obj_dur = obj_dur[["@@object_lifecycle_start_timestamp", "@@object_lifecycle_end_timestamp"]].to_dict("records") small_k = 10**-5 tree = IntervalTree() for el in obj_dur: tree.add(Interval(el["@@object_lifecycle_start_timestamp"] - small_k, el["@@object_lifecycle_end_timestamp"] + small_k)) data = [] feature_names = ["@@object_wip"] for el in obj_dur: data.append([len(tree[el["@@object_lifecycle_start_timestamp"] - small_k: el["@@object_lifecycle_end_timestamp"] + small_k])]) return data, feature_names