pm4py.llm.abstract_event_stream

pm4py.llm.abstract_event_stream(log_obj: DataFrame | EventLog | EventStream, max_len: int = 10000, response_header: bool = True, activity_key: str = 'concept:name', timestamp_key: str = 'time:timestamp', case_id_key: str = 'case:concept:name') → str

Obtains the event stream abstraction of a traditional event log

Parameters:

• log_obj – log object

• max_len (int) – maximum length of the (string) abstraction

• response_header (bool) – includes a short header before the variants, pointing to the description of the abstraction

• activity_key (str) – the column to be used as activity

• timestamp_key (str) – the column to be used as timestamp

• case_id_key (str) – the column to be used as case identifier

Return type:

str

import pm4py

log = pm4py.read_xes("tests/input_data/roadtraffic100traces.xes")
print(pm4py.llm.abstract_event_stream(log))