def test_export_project_dir_doesnt_exist():
project_name = "project-name"
project_file_path = (pathlib.Path(tests.conftest.results) / "new-dir" /
"another-new-dir" / "project.yaml")
project = mlrun.projects.project.new_project(project_name,
project_file_path)
project.export()
def test_sync_functions():
project_name = "project-name"
project = mlrun.new_project(project_name)
project.set_function("hub://describe")
project_function_object = project.spec._function_objects
project_file_path = pathlib.Path(tests.conftest.results) / "project.yaml"
project.export(str(project_file_path))
imported_project = mlrun.load_project(None, str(project_file_path))
assert imported_project.spec._function_objects == {}
imported_project.sync_functions()
_assert_project_function_objects(imported_project, project_function_object)
def test_sync_functions():
project_name = "project-name"
project = mlrun.new_project(project_name)
project.set_function("hub://describe", "describe")
project_function_object = project.spec._function_objects
project_file_path = pathlib.Path(tests.conftest.results) / "project.yaml"
project.export(str(project_file_path))
imported_project = mlrun.load_project("./", str(project_file_path))
assert imported_project.spec._function_objects == {}
imported_project.sync_functions()
_assert_project_function_objects(imported_project, project_function_object)
fn = project.func("describe")
assert fn.metadata.name == "describe", "func did not return"
# test that functions can be fetched from the DB (w/o set_function)
mlrun.import_function("hub://sklearn_classifier", new_name="train").save()
fn = project.func("train")
assert fn.metadata.name == "train", "train func did not return"