def create_simple_project(path: Path):
scaffold.create_initial_project(str(path))
# create a config file
# for the cli test the resulting model is not important, use components that are
# fast to train
write_yaml(
{
"language":
"en",
"pipeline": [{
"name": "KeywordIntentClassifier"
}],
"policies": [
{
"name": "MappingPolicy"
},
{
"name": "MemoizationPolicy",
"max_history": 3
},
],
},
path / "config.yml",
)
return path
def project() -> Text:
import tempfile
from rasa.cli.scaffold import create_initial_project
directory = tempfile.mkdtemp()
create_initial_project(directory)
return directory
async def test_example_bot_training_on_initial_project(tmp_path: Path):
# we need to test this one separately, as we can't test it in place
# configuration suggestions would otherwise change the initial file
scaffold.create_initial_project(str(tmp_path))
importer = TrainingDataImporter.load_from_config(
str(tmp_path / "config.yml"),
str(tmp_path / "domain.yml"),
str(tmp_path / "data"),
)
with pytest.warns(None) as record:
await importer.get_nlu_data()
await importer.get_stories()
assert not len(record)
def test_example_bot_training_on_initial_project(tmp_path: Path):
# we need to test this one separately, as we can't test it in place
# configuration suggestions would otherwise change the initial file
scaffold.create_initial_project(str(tmp_path))
importer = TrainingDataImporter.load_from_config(
str(tmp_path / "config.yml"),
str(tmp_path / "domain.yml"),
str(tmp_path / "data"),
)
with pytest.warns(UserWarning) as record:
importer.get_nlu_data()
importer.get_stories()
# two for slot auto-fill removal
assert len(record) == 2
assert ("Slot auto-fill has been removed in 3.0 and replaced with "
"a new explicit mechanism to set slots."
in record[0].message.args[0])
assert record[0].message.args[0] == record[1].message.args[0]
