# This Software (Dioptra) is being made available as a public service by the
# National Institute of Standards and Technology (NIST), an Agency of the United
# States Department of Commerce. This software was developed in part by employees of
# NIST and in part by NIST contractors. Copyright in portions of this software that
# were developed by NIST contractors has been licensed or assigned to NIST. Pursuant
# to Title 17 United States Code Section 105, works of NIST employees are not
# subject to copyright protection in the United States. However, NIST may hold
# international copyright in software created by its employees and domestic
# copyright (or licensing rights) in portions of software that were assigned or
# licensed to NIST. To the extent that NIST holds copyright in this software, it is
# being made available under the Creative Commons Attribution 4.0 International
# license (CC BY 4.0). The disclaimers of the CC BY 4.0 license apply to all parts
# of the software developed or licensed by NIST.
#
# ACCESS THE FULL CC BY 4.0 LICENSE HERE:
# https://creativecommons.org/licenses/by/4.0/legalcode
from __future__ import annotations

from typing import Any

import structlog
from multimethod import multimethod
from structlog.stdlib import BoundLogger

LOGGER: BoundLogger = structlog.stdlib.get_logger()


@multimethod
def estimator_predict(estimator: Any, x: Any, **kwargs) -> Any:
    LOGGER.info(
        "Dispatching to generic function",
        generic="estimator_predict",
        estimator="Generic fallback",
        args_signature=("Any", "Any"),
    )

    try:
        prediction_results: Any = estimator.predict(x, **kwargs)

    except AttributeError:
        LOGGER.exception("Estimator does not have a generic predict method")
        raise

    return prediction_results
