Dynamic KnowledgeBase : update inmemoryknowledgebase using custom action

Rasa Open Source
7

@yashjn72 Please try this but beware that this is an untested recommendation:

class MyKnowledgeBaseAction(ActionQueryKnowledgeBase):
    def __init__(self):
        knowledge_base = InMemoryKnowledgeBase("userdata.json")
        super().__init__(knowledge_base)

     async def run(
        self,
        dispatcher: CollectingDispatcher,
        tracker: Tracker,
        domain: "DomainDict",
      ) -> List[Dict[Text, Any]]:
        # this is the only line you need to introduce
        self.knowledge_base.load()
        
        # this is copied from current Rasa SDK Python implementation
        object_type = tracker.get_slot(SLOT_OBJECT_TYPE)
        last_object_type = tracker.get_slot(SLOT_LAST_OBJECT_TYPE)
        attribute = tracker.get_slot(SLOT_ATTRIBUTE)

        new_request = object_type != last_object_type

        if not object_type:
            dispatcher.utter_message(response="utter_ask_rephrase")
            return []

        if not attribute or new_request:
            return await self._query_objects(dispatcher, object_type, tracker)
        elif attribute:
            return await self._query_attribute(
                dispatcher, object_type, attribute, tracker
            )

        dispatcher.utter_message(response="utter_ask_rephrase")
        return []