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from json.decoder import JSONDecodeError
from typing import Any, Dict, Optional
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 DatasetRecipe
logger = get_logger()
settings = get_settings()
def fetch(artifact_name: str, overwrite_kwargs: Optional[Dict[str, Any]] = None):
try:
artifact, _ = fetch_artifact(artifact_name, overwrite_kwargs=overwrite_kwargs)
return artifact
except (UnitxtArtifactNotFoundError, JSONDecodeError):
return None
def parse(query: str) -> dict:
return parse_key_equals_value_string_to_dict(query)
def get_dataset_artifact(dataset, overwrite_kwargs: Optional[Dict[str, Any]] = None):
if isinstance(dataset, DatasetRecipe):
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, overwrite_kwargs=overwrite_kwargs)
if recipe is None:
args = parse(dataset)
if "__type__" not in args:
args["__type__"] = settings.default_recipe
if overwrite_kwargs is not None:
args.update(overwrite_kwargs)
recipe = Artifact.from_dict(args)
return recipe
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