Exemplo n.º 1
0
    def test_get_slots_should_raise_with_unknown_intent(self):
        # Given
        slots_dataset_stream = io.StringIO("""
---
type: intent
name: greeting1
utterances:
  - Hello [name1](John)

---
type: intent
name: goodbye
utterances:
  - Goodbye [name](Eric)""")
        dataset = Dataset.from_yaml_files("en", [slots_dataset_stream]).json

        # pylint:disable=unused-variable
        @IntentParser.register("first_intent_parser", True)
        class FirstIntentParser(MockIntentParser):
            pass

        @IntentParser.register("second_intent_parser", True)
        class SecondIntentParser(MockIntentParser):
            pass

        # pylint:enable=unused-variable

        config = NLUEngineConfig(
            ["first_intent_parser", "second_intent_parser"])
        nlu_engine = SnipsNLUEngine(config).fit(dataset)

        # When / Then
        with self.assertRaises(IntentNotFoundError):
            nlu_engine.get_slots("Hello John", "greeting3")
Exemplo n.º 2
0
    def test_should_get_slots(self):
        # Given
        dataset_stream = io.StringIO("""
---
type: intent
name: greeting
utterances:
- hello [greeted:name](john)""")
        dataset = Dataset.from_yaml_files("en", [dataset_stream]).json
        input_text = "hello snips"
        greeting_intent = "greeting"
        expected_slots = [
            unresolved_slot(match_range=(6, 11),
                            value="snips",
                            entity="name",
                            slot_name="greeted")
        ]

        # pylint:disable=unused-variable
        @IntentParser.register("first_intent_parser", True)
        class FirstIntentParser(MockIntentParser):
            pass

        @IntentParser.register("second_intent_parser", True)
        class SecondIntentParser(MockIntentParser):
            def get_slots(self, text, intent):
                if text == input_text and intent == greeting_intent:
                    return expected_slots
                return []

        # pylint:enable=unused-variable

        config = NLUEngineConfig(
            ["first_intent_parser", "second_intent_parser"])
        engine = SnipsNLUEngine(config).fit(dataset)

        # When
        res_slots = engine.get_slots(input_text, greeting_intent)

        # Then
        expected_slots = [custom_slot(s) for s in expected_slots]
        self.assertListEqual(expected_slots, res_slots)