Ejemplo n.º 1
0
    def __init__(
        self,
        domain: Union[Text, Domain, None] = None,
        policies: Union[PolicyEnsemble, List[Policy], None] = None,
        interpreters: Optional[Dict[Text, NaturalLanguageInterpreter]] = None,
        generator: Union[EndpointConfig, NaturalLanguageGenerator,
                         None] = None,
        tracker_store: Optional[TrackerStore] = None,
        lock_store: Optional[LockStore] = None,
        action_endpoint: Optional[EndpointConfig] = None,
        fingerprint: Optional[Text] = None,
        model_directory: Optional[Text] = None,
        model_server: Optional[EndpointConfig] = None,
        remote_storage: Optional[Text] = None,
        path_to_model_archive: Optional[Text] = None,
    ):
        # Initializing variables with the passed parameters.
        self.domain = self._create_domain(domain)
        self.policy_ensemble = self._create_ensemble(policies)

        if self.domain is not None:
            self.domain.add_requested_slot()
            self.domain.add_knowledge_base_slots()

        PolicyEnsemble.check_domain_ensemble_compatibility(
            self.policy_ensemble, self.domain)

        self.interpreters = interpreters or RegexInterpreter()

        self.nlg = NaturalLanguageGenerator.create(generator, self.domain)
        self.tracker_store = self.create_tracker_store(tracker_store,
                                                       self.domain)
        self.lock_store = self._create_lock_store(lock_store)
        self.action_endpoint = action_endpoint

        self._set_fingerprint(fingerprint)
        self.model_directory = model_directory
        self.model_server = model_server
        self.remote_storage = remote_storage
        self.path_to_model_archive = path_to_model_archive
Ejemplo n.º 2
0
    def __init__(
        self,
        domain: Union[Text, Domain, None] = None,
        policies: Union[PolicyEnsemble, List[Policy], None] = None,
        interpreter: Optional[NaturalLanguageInterpreter] = None,
        generator: Union[EndpointConfig, NaturalLanguageGenerator,
                         None] = None,
        tracker_store: Optional[TrackerStore] = None,
        action_endpoint: Optional[EndpointConfig] = None,
        fingerprint: Optional[Text] = None,
        model_directory: Optional[Text] = None,
        model_server: Optional[EndpointConfig] = None,
        remote_storage: Optional[Text] = None,
    ):
        # Initializing variables with the passed parameters.
        self.domain = self._create_domain(domain)
        if self.domain:
            self.domain.add_requested_slot()
        self.policy_ensemble = self._create_ensemble(policies)
        if not self._is_form_policy_present():
            raise InvalidDomain(
                "You have defined a form action, but haven't added the "
                "FormPolicy to your policy ensemble.")

        self.interpreter = NaturalLanguageInterpreter.create(interpreter)

        self.nlg = NaturalLanguageGenerator.create(generator, self.domain)
        self.tracker_store = self.create_tracker_store(tracker_store,
                                                       self.domain)
        self.action_endpoint = action_endpoint
        self.conversations_in_processing = {}

        self._set_fingerprint(fingerprint)
        self.model_directory = model_directory
        self.model_server = model_server
        self.remote_storage = remote_storage
Ejemplo n.º 3
0
Archivo: agent.py Proyecto: delldu/Rasa
    def __init__(
        self,
        domain: Union[Text, Domain, None] = None,
        policies: Union[PolicyEnsemble, List[Policy], None] = None,
        interpreter: Optional[NaturalLanguageInterpreter] = None,
        generator: Union[EndpointConfig, NaturalLanguageGenerator,
                         None] = None,
        tracker_store: Optional[TrackerStore] = None,
        action_endpoint: Optional[EndpointConfig] = None,
        fingerprint: Optional[Text] = None,
        model_directory: Optional[Text] = None,
        model_server: Optional[EndpointConfig] = None,
        remote_storage: Optional[Text] = None,
    ):
        # Initializing variables with the passed parameters.
        self.domain = self._create_domain(domain)
        self.policy_ensemble = self._create_ensemble(policies)

        if self.domain is not None:
            self.domain.add_requested_slot()

        PolicyEnsemble.check_domain_ensemble_compatibility(
            self.policy_ensemble, self.domain)

        self.interpreter = NaturalLanguageInterpreter.create(interpreter)

        self.nlg = NaturalLanguageGenerator.create(generator, self.domain)
        self.tracker_store = self.create_tracker_store(tracker_store,
                                                       self.domain)
        self.action_endpoint = action_endpoint
        self.conversations_in_processing = {}

        self._set_fingerprint(fingerprint)
        self.model_directory = model_directory
        self.model_server = model_server
        self.remote_storage = remote_storage
Ejemplo n.º 4
0
async def test_logging_of_end_to_end_action():
    end_to_end_action = "hi, how are you?"
    domain = Domain(
        intents=["greet"],
        entities=[],
        slots=[],
        templates={},
        action_names=[],
        forms={},
        action_texts=[end_to_end_action],
    )

    conversation_id = "test_logging_of_end_to_end_action"
    user_message = "/greet"

    class ConstantEnsemble(PolicyEnsemble):
        def __init__(self) -> None:
            super().__init__([])
            self.number_of_calls = 0

        def probabilities_using_best_policy(
            self,
            tracker: DialogueStateTracker,
            domain: Domain,
            interpreter: NaturalLanguageInterpreter,
            **kwargs: Any,
        ) -> PolicyPrediction:
            if self.number_of_calls == 0:
                prediction = PolicyPrediction.for_action_name(
                    domain, end_to_end_action, "some policy"
                )
                prediction.is_end_to_end_prediction = True
                self.number_of_calls += 1
                return prediction
            else:
                return PolicyPrediction.for_action_name(domain, ACTION_LISTEN_NAME)

    tracker_store = InMemoryTrackerStore(domain)
    lock_store = InMemoryLockStore()
    processor = MessageProcessor(
        RegexInterpreter(),
        ConstantEnsemble(),
        domain,
        tracker_store,
        lock_store,
        NaturalLanguageGenerator.create(None, domain),
    )

    await processor.handle_message(UserMessage(user_message, sender_id=conversation_id))

    tracker = tracker_store.retrieve(conversation_id)
    expected_events = [
        ActionExecuted(ACTION_SESSION_START_NAME),
        SessionStarted(),
        ActionExecuted(ACTION_LISTEN_NAME),
        UserUttered(user_message, intent={"name": "greet"}),
        ActionExecuted(action_text=end_to_end_action),
        BotUttered("hi, how are you?", {}, {}, 123),
        ActionExecuted(ACTION_LISTEN_NAME),
    ]
    for event, expected in zip(tracker.events, expected_events):
        assert event == expected