def test_should_be_serializable_into_bytearray(self):
# Given
dataset_stream = io.StringIO("""
---
type: intent
name: MakeTea
utterances:
- make me a [beverage_temperature:Temperature](hot) cup of tea
- make me [number_of_cups:snips/number](five) tea cups
---
type: intent
name: MakeCoffee
utterances:
- make me [number_of_cups:snips/number](one) cup of coffee please
- brew [number_of_cups] cups of coffee""")
dataset = Dataset.from_yaml_files("en", [dataset_stream]).json
shared = self.get_shared_data(dataset)
engine = SnipsNLUEngine(**shared).fit(dataset)
# When
engine_bytes = engine.to_byte_array()
loaded_engine = SnipsNLUEngine.from_byte_array(engine_bytes)
result = loaded_engine.parse("Make me two cups of coffee")
# Then
self.assertEqual(result[RES_INTENT][RES_INTENT_NAME], "MakeCoffee")
def test_should_be_serializable_into_bytearray_when_empty(self):
# Given
engine = SnipsNLUEngine()
engine_bytes = engine.to_byte_array()
# When
engine = SnipsNLUEngine.from_byte_array(engine_bytes)
# Then
self.assertFalse(engine.fitted)
def test_should_be_serializable_into_bytearray(self):
# Given
dataset = BEVERAGE_DATASET
engine = SnipsNLUEngine().fit(dataset)
# When
engine_bytes = engine.to_byte_array()
loaded_engine = SnipsNLUEngine.from_byte_array(engine_bytes)
result = loaded_engine.parse("Make me two cups of coffee")
# Then
self.assertEqual(result[RES_INTENT][RES_INTENT_NAME], "MakeCoffee")
def test_should_be_serializable_into_bytearray(self):
# Given
dataset = BEVERAGE_DATASET
engine = SnipsNLUEngine().fit(dataset)
# When
engine_bytes = engine.to_byte_array()
builtin_entity_parser = BuiltinEntityParser.build(dataset=dataset)
custom_entity_parser = CustomEntityParser.build(
dataset, parser_usage=CustomEntityParserUsage.WITHOUT_STEMS)
loaded_engine = SnipsNLUEngine.from_byte_array(
engine_bytes, builtin_entity_parser=builtin_entity_parser,
custom_entity_parser=custom_entity_parser)
result = loaded_engine.parse("Make me two cups of coffee")
# Then
self.assertEqual(result[RES_INTENT][RES_INTENT_NAME], "MakeCoffee")
