def load_rasa_data_from_string(text):
# type: (Text) -> TrainingData
"""Loads training data stored in the rasa NLU data format."""
data = _read_json_from_string(text)
converters.validate_rasa_nlu_data(data)
common = data['rasa_nlu_data'].get("common_examples", list())
intent = data['rasa_nlu_data'].get("intent_examples", list())
entity = data['rasa_nlu_data'].get("entity_examples", list())
regex_features = data['rasa_nlu_data'].get("regex_features", list())
synonyms = data['rasa_nlu_data'].get("entity_synonyms", list())
entity_synonyms = converters.get_entity_synonyms_dict(synonyms)
if intent or entity:
logger.warn(
"DEPRECATION warning: Data file contains 'intent_examples' "
"or 'entity_examples' which will be "
"removed in the future. Consider putting all your examples "
"into the 'common_examples' section.")
all_examples = common + intent + entity
training_examples = []
for e in all_examples:
data = e.copy()
if "text" in data:
del data["text"]
training_examples.append(Message(e["text"], data))
return TrainingData(training_examples, entity_synonyms, regex_features)
def test_validation_is_throwing_exceptions(invalid_data):
with pytest.raises(ValidationError):
validate_rasa_nlu_data(invalid_data)
def test_example_training_data_is_valid():
with io.open('data/examples/rasa/demo-rasa.json',
encoding="utf-8-sig") as f:
data = json.loads(f.read())
validate_rasa_nlu_data(data)
def test_validation_is_throwing_exceptions(invalid_data):
with pytest.raises(ValidationError):
validate_rasa_nlu_data(invalid_data)
def test_example_training_data_is_valid():
with io.open('data/examples/rasa/demo-rasa.json', encoding="utf-8-sig") as f:
data = json.loads(f.read())
validate_rasa_nlu_data(data)
