def test_dump_config(
tmp_path: Path,
input_file: Text,
expected_file: Text,
capsys: CaptureFixture,
autoconfig_keys: Set[Text],
):
config_file = str(tmp_path / "config.yml")
shutil.copyfile(str(CONFIG_FOLDER / input_file), config_file)
autoconfig.get_configuration(config_file)
actual = io_utils.read_file(config_file)
expected = io_utils.read_file(str(CONFIG_FOLDER / expected_file))
assert actual == expected
captured = capsys.readouterr()
assert "does not exist or is empty" not in captured.out
for k in CONFIG_AUTOCONFIGURABLE_KEYS:
if k in autoconfig_keys:
assert k in captured.out
else:
assert k not in captured.out
def test_get_configuration_missing_file(tmp_path: Path, config_file: Text):
if config_file:
config_file = tmp_path / "non_existent_config.yml"
config = autoconfig.get_configuration(str(config_file))
assert config == {}
def test_get_configuration_for_different_training_types(
tmp_path: Path,
input_file: Text,
expected_file: Text,
expected_file_windows: Text,
training_type: autoconfig.TrainingType,
):
config_file = str(tmp_path / "config.yml")
shutil.copyfile(str(CONFIG_FOLDER / input_file), config_file)
autoconfig.get_configuration(config_file, training_type)
actual = io_utils.read_file(config_file)
if sys.platform == "win32":
expected = io_utils.read_file(
str(CONFIG_FOLDER / expected_file_windows))
else:
expected = io_utils.read_file(str(CONFIG_FOLDER / expected_file))
assert actual == expected
def __init__(
self,
config_file: Optional[Text] = None,
domain_path: Optional[Text] = None,
training_data_paths: Optional[Union[List[Text], Text]] = None,
):
self._domain_path = domain_path
self._story_files, self._nlu_files = data.get_core_nlu_files(
training_data_paths
)
self.config = autoconfig.get_configuration(config_file)
def __init__(
self,
config_file: Optional[Text] = None,
domain_path: Optional[Text] = None,
training_data_paths: Optional[Union[List[Text], Text]] = None,
training_type: Optional[TrainingType] = TrainingType.BOTH,
):
self._domain_path = domain_path
self._nlu_files = rasa.shared.data.get_data_files(
training_data_paths, rasa.shared.data.is_nlu_file)
self._story_files = rasa.shared.data.get_data_files(
training_data_paths, rasa.shared.data.is_story_file)
self.config = autoconfig.get_configuration(config_file, training_type)
def test_get_configuration(config_path: Path, autoconfig_keys: Set[Text],
monkeypatch: MonkeyPatch):
def _auto_configure(_, keys_to_configure: Set[Text]) -> Set[Text]:
return keys_to_configure
monkeypatch.setattr(autoconfig, "_dump_config", Mock())
monkeypatch.setattr(autoconfig, "_auto_configure", _auto_configure)
config = autoconfig.get_configuration(str(config_path))
if autoconfig_keys:
expected_config = _auto_configure(config, autoconfig_keys)
else:
expected_config = config
assert sorted(config) == sorted(expected_config)