pm4py.llm.abstract_log_attributes

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

Abstracts the attributes of a log by reporting their names, types, and top values.

Return type:

str

Parameters:

• log_obj – The log object whose attributes are to be abstracted.

• max_len (int) – Maximum length of the string abstraction (default: constants.OPENAI_MAX_LEN).

• activity_key (str) – The column name to be used as activity.

• timestamp_key (str) – The column name to be used as timestamp.

• case_id_key (str) – The column name to be used as case identifier.

Returns:

The log attributes abstraction as a string.

import pm4py

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