def test_should_be_deserializable_before_fit(self, mock_deserialize_crf_model): # Given mock_deserialize_crf_model.return_value = None features_factories = [ { "factory_name": ShapeNgramFactory.name, "args": {"n": 1}, "offsets": [0] }, { "factory_name": IsDigitFactory.name, "args": {}, "offsets": [-1, 0] } ] slot_filler_config = CRFSlotFillerConfig( feature_factory_configs=features_factories) slot_filler_dict = { "unit_name": "crf_slot_filler", "crf_model_data": None, "language_code": None, "intent": None, "slot_name_mapping": None, "config": slot_filler_config.to_dict() } # When slot_filler = CRFSlotFiller.from_dict(slot_filler_dict) # Then expected_features_factories = [ { "factory_name": ShapeNgramFactory.name, "args": {"n": 1}, "offsets": [0] }, { "factory_name": IsDigitFactory.name, "args": {}, "offsets": [-1, 0] } ] expected_language = None expected_config = CRFSlotFillerConfig( feature_factory_configs=expected_features_factories) expected_intent = None expected_slot_name_mapping = None expected_crf_model = None self.assertEqual(slot_filler.crf_model, expected_crf_model) self.assertEqual(slot_filler.language, expected_language) self.assertEqual(slot_filler.intent, expected_intent) self.assertEqual(slot_filler.slot_name_mapping, expected_slot_name_mapping) self.assertDictEqual(expected_config.to_dict(), slot_filler.config.to_dict())
def test_should_get_slots_after_deserialization(self): # Given dataset = validate_and_format_dataset(BEVERAGE_DATASET) config = CRFSlotFillerConfig(random_seed=42) intent = "MakeTea" slot_filler = CRFSlotFiller(config) slot_filler.fit(dataset, intent) deserialized_slot_filler = CRFSlotFiller.from_dict( slot_filler.to_dict()) # When slots = deserialized_slot_filler.get_slots("make me two cups of tea") # Then expected_slots = [ unresolved_slot(match_range={START: 8, END: 11}, value='two', entity='snips/number', slot_name='number_of_cups')] self.assertListEqual(expected_slots, slots)
def test_should_be_deserializable(self, mock_deserialize_crf_model): # Given language = LANGUAGE_EN mock_deserialize_crf_model.return_value = None feature_factories = [ { "factory_name": ShapeNgramFactory.name, "args": {"n": 1, "language_code": language}, "offsets": [0] }, { "factory_name": IsDigitFactory.name, "args": {}, "offsets": [-1, 0] } ] slot_filler_config = CRFSlotFillerConfig( feature_factory_configs=feature_factories) slot_filler_dict = { "unit_name": "crf_slot_filler", "crf_model_data": "mocked_crf_model_data", "language_code": "en", "intent": "dummy_intent_1", "slot_name_mapping": { "dummy_intent_1": { "dummy_slot_name": "dummy_entity_1", } }, "config": slot_filler_config.to_dict() } # When slot_filler = CRFSlotFiller.from_dict(slot_filler_dict) # Then mock_deserialize_crf_model.assert_called_once_with( "mocked_crf_model_data") expected_language = LANGUAGE_EN expected_feature_factories = [ { "factory_name": ShapeNgramFactory.name, "args": {"n": 1, "language_code": language}, "offsets": [0] }, { "factory_name": IsDigitFactory.name, "args": {}, "offsets": [-1, 0] } ] expected_config = CRFSlotFillerConfig( feature_factory_configs=expected_feature_factories) expected_intent = "dummy_intent_1" expected_slot_name_mapping = { "dummy_intent_1": { "dummy_slot_name": "dummy_entity_1", } } self.assertEqual(slot_filler.language, expected_language) self.assertEqual(slot_filler.intent, expected_intent) self.assertEqual(slot_filler.slot_name_mapping, expected_slot_name_mapping) self.assertDictEqual(expected_config.to_dict(), slot_filler.config.to_dict())