Exemple #1
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def test_swap_intent_with2():
    swap_rules = InputValidator(
        InputValidator._load_yaml(VALIDATOR_RULES_YAML)['intent_substitution'])
    # make sure intent not swapped after another action than the one specified in the rule
    parse_data = {"intent": {"name": "whatever", "confidence": 1.0}}
    Rules._swap_intent(parse_data, None, swap_rules.rules[1])
    assert parse_data["intent"]["name"] == "whatever"
Exemple #2
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def test_swap_intent_with1():
    swap_rules = InputValidator(
        InputValidator._load_yaml(VALIDATOR_RULES_YAML)['intent_substitution'])
    # make sure intent swapped
    parse_data = {"intent": {"name": "chitchat.i_am_angry", "confidence": 1.0}}
    Rules._swap_intent(parse_data, None, swap_rules.rules[1])
    assert parse_data["intent"]["name"] == "request.handover"
Exemple #3
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def test_swap_intent_after1():
    swap_rules = InputValidator(
        InputValidator._load_yaml(VALIDATOR_RULES_YAML)['intent_substitution'])
    # make sure intent swapped
    parse_data = {"intent": {"name": "whatever", "confidence": 1.0}}
    Rules._swap_intent(parse_data, "utter_something", swap_rules.rules[0])
    assert parse_data["intent"]["name"] == "intent_something"
    def __init__(self,
                 interpreter,  # type: NaturalLanguageInterpreter
                 policy_ensemble,  # type: PolicyEnsemble
                 domain,  # type: Domain
                 tracker_store,  # type: TrackerStore
                 generator,  # type: NaturalLanguageGenerator
                 max_number_of_predictions=10,  # type: int
                 message_preprocessor=None,  # type: Optional[LambdaType]
                 on_circuit_break=None,  # type: Optional[LambdaType]
                 create_dispatcher=None,  # type: Optional[LambdaType]
                 rules_file=None  # type: Optional[str]
                 ):

        self.rules = Rules(rules_file) if rules_file is not None else None
        super(SuperMessageProcessor, self).__init__(
            interpreter,
            policy_ensemble,
            domain,
            tracker_store,
            generator,
            max_number_of_predictions,
            message_preprocessor,
            on_circuit_break
        )
        self.create_dispatcher = create_dispatcher
        if self.create_dispatcher is None:
            self.create_dispatcher = lambda sender_id, output_channel, nlg: Dispatcher(sender_id, output_channel, nlg)
Exemple #5
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def test_swap_intent_with3():
    swap_rules = InputValidator(
        InputValidator._load_yaml(VALIDATOR_RULES_YAML)['intent_substitution'])
    # make sure intent is swapped and entity is added
    parse_data = {"intent": {"name": "chitchat.bye", "confidence": 1.0}}
    Rules._swap_intent(parse_data, None, swap_rules.rules[2])
    assert parse_data["intent"]["name"] == "chitchat"
    assert parse_data["entities"][0]["entity"] == "intent"
    assert parse_data["entities"][0]["value"] == "chitchat.bye"
Exemple #6
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def test_swap_intent_with4():
    swap_rules = InputValidator(
        InputValidator._load_yaml(VALIDATOR_RULES_YAML)['intent_substitution'])
    # just checking regex is ok
    parse_data = {
        "intent": {
            "name": "chitchat.this_is_frustrating",
            "confidence": 1.0
        }
    }
    Rules._swap_intent(parse_data, None, swap_rules.rules[2])
    assert parse_data["intent"]["name"] == "chitchat.this_is_frustrating"
Exemple #7
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def test_swap_intent_after2():
    swap_rules = InputValidator(
        InputValidator._load_yaml(VALIDATOR_RULES_YAML)['intent_substitution'])
    # make sure intent is not swapped when in unless list
    parse_data = {
        "intent": {
            "name": "chitchat.this_is_frustrating",
            "confidence": 1.0
        }
    }
    Rules._swap_intent(parse_data, "utter_something", swap_rules.rules[0])
    assert parse_data["intent"]["name"] == "chitchat.this_is_frustrating"
Exemple #8
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class SuperMessageProcessor(MessageProcessor):
    def __init__(
            self,
            interpreter,  # type: NaturalLanguageInterpreter
            policy_ensemble,  # type: PolicyEnsemble
            domain,  # type: Domain
            tracker_store,  # type: TrackerStore
            generator,  # type: NaturalLanguageGenerator
            max_number_of_predictions=10,  # type: int
            message_preprocessor=None,  # type: Optional[LambdaType]
            on_circuit_break=None,  # type: Optional[LambdaType]
            create_dispatcher=None,  # type: Optional[LambdaType]
            rules_file=None  # type: Optional[str]
    ):

        self.rules = Rules(rules_file) if rules_file is not None else None
        super(SuperMessageProcessor,
              self).__init__(interpreter, policy_ensemble, domain,
                             tracker_store, generator,
                             max_number_of_predictions, message_preprocessor,
                             on_circuit_break)
        self.create_dispatcher = create_dispatcher
        if self.create_dispatcher is None:
            self.create_dispatcher = lambda sender_id, output_channel, nlg: Dispatcher(
                sender_id, output_channel, nlg)

    def _handle_message_with_tracker(self, message, tracker):
        # type: (UserMessage, DialogueStateTracker) -> None

        parse_data = self._parse_message(message)

        # rules section #
        if self._rule_interrupts(parse_data, tracker, message):
            return
        # rules section - end #

        # don't ever directly mutate the tracker
        # - instead pass its events to log
        tracker.update(
            UserUttered(message.text, parse_data["intent"],
                        parse_data["entities"], parse_data))
        # store all entities as slots
        for e in self.domain.slots_for_entities(parse_data["entities"]):
            tracker.update(e)

        logger.debug("Logged UserUtterance - "
                     "tracker now has {} events".format(len(tracker.events)))

    def _rule_interrupts(self, parse_data, tracker, message):
        if self.rules is not None:
            dispatcher = self.create_dispatcher(message.sender_id,
                                                message.output_channel,
                                                self.nlg)
            return self.rules.interrupts(dispatcher, parse_data, tracker,
                                         self._run_action)

    def _predict_and_execute_next_action(self, message, tracker):
        # this will actually send the response to the user

        dispatcher = self.create_dispatcher(message.sender_id,
                                            message.output_channel, self.nlg)
        # keep taking actions decided by the policy until it chooses to 'listen'
        should_predict_another_action = True
        num_predicted_actions = 0
        self._log_slots(tracker)

        # action loop. predicts actions until we hit action listen
        while (should_predict_another_action
               and self._should_handle_message(tracker)
               and num_predicted_actions < self.max_number_of_predictions):
            # this actually just calls the policy's method by the same name
            action = self._get_next_action(tracker)

            should_predict_another_action = self._run_action(
                action, tracker, dispatcher)
            num_predicted_actions += 1

        if (num_predicted_actions == self.max_number_of_predictions
                and should_predict_another_action):
            # circuit breaker was tripped
            logger.warn("Circuit breaker tripped. Stopped predicting "
                        "more actions for sender '{}'".format(
                            tracker.sender_id))
            if self.on_circuit_break:
                # call a registered callback
                self.on_circuit_break(tracker, dispatcher)