pm4py.algo.querying.llm.injection.db_knowledge.variants.pandas_duckdb module#

PM4Py – A Process Mining Library for Python

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class pm4py.algo.querying.llm.injection.db_knowledge.variants.pandas_duckdb.Parameters(*values)[source]#

Bases: Enum

ACTIVITY_KEY = 'pm4py:param:activity_key'#
TIMESTAMP_KEY = 'pm4py:param:timestamp_key'#
CASE_ID_KEY = 'pm4py:param:case_id_key'#
RESOURCE_KEY = 'pm4py:param:resource_key'#
TABLE_NAME = 'table_name'#
pm4py.algo.querying.llm.injection.db_knowledge.variants.pandas_duckdb.apply(db: DataFrame, parameters: Dict[Any, Any] | None = None) → str[source]#

Provides a string containing the required database knowledge for DuckDB querying (in order for the LLM to produce meaningful queries).

Parameters:

  • db – Database

  • parameters – Parameters of the method, including: - Parameters.ACTIVITY_KEY => the attribute of the log to be used as activity - Parameters.TIMESTAMP_KEY => the attribute of the log to be used as timestamp - Parameters.CASE_ID_KEY => the attribute of the log to be used as case identifier - Parameters.RESOURCE_KEY => the attribute of the log containing the resource - Parameters.TABLE_NAME => the name of the dataframe/table

Returns:

String containing the required database knowledge.

Return type:

db_knowledge