def test_invalid_many_tokenizers_in_config():
nlu_config = {
"pipeline": [{"name": "WhitespaceTokenizer"}, {"name": "SpacyTokenizer"}]
}
with pytest.raises(config.InvalidConfigError) as execinfo:
Trainer(config.RasaNLUModelConfig(nlu_config))
assert "More then one tokenizer is used" in str(execinfo.value)
def test_invalid_many_tokenizers_in_config():
nlu_config = {
"pipeline": [{"name": "WhitespaceTokenizer"}, {"name": "SpacyTokenizer"}]
}
with pytest.raises(InvalidConfigException) as execinfo:
Trainer(config.RasaNLUModelConfig(nlu_config))
assert "The pipeline configuration contains more than one" in str(execinfo.value)
def test_missing_property(pipeline_config):
with pytest.raises(config.InvalidConfigError) as execinfo:
Trainer(config.RasaNLUModelConfig(pipeline_config))
assert "Add required components to the pipeline" in str(execinfo.value)
def test_default_config_file():
final_config = config.RasaNLUModelConfig()
assert len(final_config) > 1
def test_missing_property(pipeline_config):
with pytest.raises(config.InvalidConfigError) as execinfo:
Trainer(config.RasaNLUModelConfig(pipeline_config))
assert "The pipeline configuration contains errors" in str(execinfo.value)
def test_missing_required_component(_config):
with pytest.raises(InvalidConfigException) as execinfo:
Trainer(config.RasaNLUModelConfig(_config))
assert "The pipeline configuration contains errors" in str(execinfo.value)