def test_get_unknown_scheme():
artifact_repository_registry = ArtifactRepositoryRegistry()
with pytest.raises(
mlflow.exceptions.MlflowException, match="Could not find a registered artifact repository"
):
artifact_repository_registry.get_artifact_repository("unknown-scheme://")
def test_plugin_registration():
artifact_repository_registry = ArtifactRepositoryRegistry()
mock_plugin = mock.Mock()
artifact_repository_registry.register("mock-scheme", mock_plugin)
assert "mock-scheme" in artifact_repository_registry._registry
repository_instance = artifact_repository_registry.get_artifact_repository(
artifact_uri="mock-scheme://fake-host/fake-path")
assert repository_instance == mock_plugin.return_value
mock_plugin.assert_called_once_with("mock-scheme://fake-host/fake-path")
def test_plugin_registration_failure_via_entrypoints(exception):
mock_entrypoint = mock.Mock(load=mock.Mock(side_effect=exception))
mock_entrypoint.name = "mock-scheme"
with mock.patch("entrypoints.get_group_all",
return_value=[mock_entrypoint]) as mock_get_group_all:
repo_registry = ArtifactRepositoryRegistry()
# Check that the raised warning contains the message from the original exception
with pytest.warns(UserWarning, match="test exception"):
repo_registry.register_entrypoints()
mock_entrypoint.load.assert_called_once()
mock_get_group_all.assert_called_once_with("mlflow.artifact_repository")
def test_plugin_registration_via_entrypoints():
mock_plugin_function = mock.Mock()
mock_entrypoint = mock.Mock(load=mock.Mock(return_value=mock_plugin_function))
mock_entrypoint.name = "mock-scheme"
with mock.patch(
"entrypoints.get_group_all", return_value=[mock_entrypoint]
) as mock_get_group_all:
artifact_repository_registry = ArtifactRepositoryRegistry()
artifact_repository_registry.register_entrypoints()
assert (
artifact_repository_registry.get_artifact_repository("mock-scheme://fake-host/fake-path")
== mock_plugin_function.return_value
)
mock_plugin_function.assert_called_once_with("mock-scheme://fake-host/fake-path")
mock_get_group_all.assert_called_once_with("mlflow.artifact_repository")