| from json.decoder import JSONDecodeError |
|
|
| from .artifact import Artifact, UnitxtArtifactNotFoundError, fetch_artifact |
| from .logging_utils import get_logger |
| from .parsing_utils import parse_key_equals_value_string_to_dict |
| from .register import _reset_env_local_catalogs, register_all_artifacts |
| from .settings_utils import get_settings |
| from .standard import BaseRecipe |
|
|
| logger = get_logger() |
| settings = get_settings() |
|
|
|
|
| def fetch(artifact_name): |
| try: |
| artifact, _ = fetch_artifact(artifact_name) |
| return artifact |
| except (UnitxtArtifactNotFoundError, JSONDecodeError): |
| return None |
|
|
|
|
| def parse(query: str): |
| return parse_key_equals_value_string_to_dict(query) |
|
|
|
|
| def get_dataset_artifact(dataset): |
| if isinstance(dataset, BaseRecipe): |
| return dataset |
| assert isinstance( |
| dataset, str |
| ), "dataset should be string description of recipe, or recipe object." |
| _reset_env_local_catalogs() |
| register_all_artifacts() |
| recipe = fetch(dataset) |
| if recipe is None: |
| args = parse(dataset) |
| if "__type__" not in args: |
| args["__type__"] = settings.default_recipe |
| recipe = Artifact.from_dict(args) |
| return recipe |
|
|
