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from __future__ import annotations

import multiprocessing
import multiprocessing.context
import typing

from airflow.configuration import conf

if typing.TYPE_CHECKING:
    from airflow.models.operator import Operator
    from airflow.utils.context import Context


class MultiprocessingStartMethodMixin:
    """Convenience class to add support for different types of multiprocessing."""

    def _get_multiprocessing_start_method(self) -> str:
        """
        Determine method of creating new processes.

        Checks if the mp_start_method is set in configs, else, it uses the OS default.
        """
        if conf.has_option("core", "mp_start_method"):
            return conf.get_mandatory_value("core", "mp_start_method")

        method = multiprocessing.get_start_method()
        if not method:
            raise ValueError("Failed to determine start method")
        return method

    def _get_multiprocessing_context(self) -> multiprocessing.context.DefaultContext:
        mp_start_method = self._get_multiprocessing_start_method()
        return multiprocessing.get_context(mp_start_method)  # type: ignore


class ResolveMixin:
    """A runtime-resolved value."""

    def iter_references(self) -> typing.Iterable[tuple[Operator, str]]:
        """
        Find underlying XCom references this contains.

        This is used by the DAG parser to recursively find task dependencies.

        :meta private:
        """
        raise NotImplementedError

    def resolve(self, context: Context, *, include_xcom: bool = True) -> typing.Any:
        """
        Resolve this value for runtime.

        :meta private:
        """
        raise NotImplementedError