pm4py.ocel.discover_ocdfg#

pm4py.ocel.discover_ocdfg(ocel: OCEL, business_hours=False, business_hour_slots=[(25200, 61200), (111600, 147600), (198000, 234000), (284400, 320400), (370800, 406800)]) → Dict[str, Any][source]#

Discovers an OC-DFG from an object-centric event log.

Object-centric directly-follows multigraphs are a composition of directly-follows graphs for the single object type, which can be annotated with different metrics considering the entities of an object-centric event log (i.e., events, unique objects, total objects).

Reference paper: Berti, Alessandro, and Wil van der Aalst. “Extracting multiple viewpoint models from relational databases.” Data-Driven Process Discovery and Analysis. Springer, Cham, 2018. 24-51.

Parameters:

ocel (OCEL) – object-centric event log
business_hours (bool) – boolean value that enables the usage of the business hours
business_hour_slots – work schedule of the company, provided as a list of tuples where each tuple represents one time slot of business hours. One slot i.e. one tuple consists of one start and one end time given in seconds since week start, e.g. [(7 * 60 * 60, 17 * 60 * 60), ((24 + 7) * 60 * 60, (24 + 12) * 60 * 60), ((24 + 13) * 60 * 60, (24 + 17) * 60 * 60),] meaning that business hours are Mondays 07:00 - 17:00 and Tuesdays 07:00 - 12:00 and 13:00 - 17:00

Return type:

Dict[str, Any]

import pm4py

ocdfg = pm4py.discover_ocdfg(ocel)