handlers

• pandas
  • PandasHandler
    • PandasHandler.get_doc_data()
    • PandasHandler.get_doc_entities()
    • PandasHandler.get_doc_events()
    • PandasHandler.get_doc_ids()
    • PandasHandler.get_table()
    • PandasHandler.init_persistence()
    • PandasHandler.insert_doc()
    • PandasHandler.start_buffered_ingestion()
    • PandasHandler.stop_buffered_ingestion()
• sqllite
  • SqlLiteHandler
    • SqlLiteHandler.get_doc_data()
    • SqlLiteHandler.get_doc_entities()
    • SqlLiteHandler.get_doc_events()
    • SqlLiteHandler.get_doc_ids()
    • SqlLiteHandler.get_table()
    • SqlLiteHandler.init_components()
    • SqlLiteHandler.init_persistence()
    • SqlLiteHandler.initialize_database()
    • SqlLiteHandler.insert_doc()
    • SqlLiteHandler.start_buffered_ingestion()
    • SqlLiteHandler.stop_buffered_ingestion()

class predict_backend.ml.nlp.handlers.PersistenceHandler

Bases: ABC

Interface. It provides a common way to store and access data produced by the nlp module. This way every component can save its output in a table stored in a persistence handler.

abstract get_doc_data(doc_id)

Return type:

Dict

abstract get_doc_entities(doc_id)

Return type:

DataFrame

abstract get_doc_events(doc_id)

Return type:

DataFrame

abstract get_doc_ids()

abstract get_table(table)

abstract init_persistence()

abstract insert_doc(doc, row_data)

abstract start_buffered_ingestion()

abstract stop_buffered_ingestion()