# -*- coding: utf-8 -*-

"""Core interfaces for Conda error solvers."""

from __future__ import annotations

__all__ = ['Solver', 'SimpleSolver', 'SolvedError', 'SolverCollection', 'POOL']

import abc
import typing
from anaconda_navigator.utils import solvers as common_solvers

if typing.TYPE_CHECKING:
    import typing_extensions
    from .. import types as conda_types

    TError_contra = typing.TypeVar('TError_contra', bound='conda_types.CondaErrorOutput', contravariant=True)

    class SolverFunction(typing_extensions.Protocol[TError_contra]):  # pylint: disable=too-few-public-methods
        """General form of a function, that could be used as a solver."""

        def __call__(self, error: TError_contra) -> str:
            """
            Solve Conda error.

            :param error: Description of the error to solve.
            :return: Message about what was fixed.
            """


TInvError = typing.TypeVar('TInvError', bound='conda_types.CondaErrorOutput')


class Solver(typing.Generic[TInvError], metaclass=abc.ABCMeta):  # pylint: disable=too-few-public-methods
    """
    Abstract base for all Conda error solvers.

    :param kwargs: Exact values to search for in the error body.
    """

    __slots__ = ('__arguments',)

    def __init__(self, **kwargs: typing.Any) -> None:
        """Initialize new :class:`~ErrorSolver` instance."""
        self.__arguments: 'typing_extensions.Final[typing.Mapping[str, typing.Any]]' = dict(kwargs)

    def solve(self, error: 'conda_types.CondaErrorOutput') -> typing.Optional[str]:
        """
        Attempt solution of the `error`.

        :param error: Description of the error to solve.
        :return: Message about what was fixed. Might be :code:`None` if the solver is not applicable.
        """
        if self._applicable(error=error):
            return self._solve(error=typing.cast(TInvError, error))
        return None

    def _applicable(self, error: 'conda_types.CondaErrorOutput') -> bool:
        """
        Check if this solver could be used to solve the `error`.

        This method might be overwritten to add custom checks.

        :param error: Description of the error to solve.
        :return: Check result.
        """
        return all(
            error.get(key, None) == value
            for key, value in self.__arguments.items()
        )

    @abc.abstractmethod
    def _solve(self, error: TInvError) -> str:
        """
        Solve Conda error.

        :param error: Description of the error to solve.
        :return: Message about what was fixed.
        """


class SimpleSolver(typing.Generic[TInvError], Solver[TInvError]):  # pylint: disable=too-few-public-methods
    """
    Custom :class:`~ErrorSolver`, which uses external function to solve an error.

    :param __function__: Function to use for error solving.
    :param kwargs: Exact values to search for in the error body.
    """

    __slots__ = ('__function',)

    def __init__(self, __function__: 'SolverFunction[TInvError]', **kwargs: typing.Any) -> None:
        """Initialize new :class:`~SimpleErrorSolver` instance."""
        super().__init__(**kwargs)
        self.__function: 'typing_extensions.Final[SolverFunction[TInvError]]' = __function__

    def _solve(self, error: TInvError) -> str:
        """
        Solve Conda error.

        :param error: Description of the error to solve.
        :return: Message about what was fixed.
        """
        return self.__function(error=error)


class SolvedError(typing.NamedTuple):
    """
    Record for the error, that was solved.

    :param error: Description of the error that was solved.
    :param message: Message about what was fixed.
    """

    error: 'conda_types.CondaErrorOutput'
    message: str


class SolverCollection(common_solvers.SolverCollection[Solver[typing.Any]]):
    """Collection of solvers."""

    __slots__ = ('__errors',)

    def __init__(self) -> None:
        """Initialize new :class:`~SolverCollection` instance."""
        super().__init__()
        self.__errors: 'typing_extensions.Final[typing.List[SolvedError]]' = []

    def errors(self) -> typing.Iterator[SolvedError]:
        """
        Iterate through errors that were solved by solvers from this pool.

        Each error description is removed as soon as it is retrieved with this method.
        """
        while self.__errors:
            yield self.__errors.pop(0)

    @typing.overload
    def register_function(
            self,
            function: 'SolverFunction[TInvError]',
            *,
            filters: typing.Optional[typing.Mapping[str, typing.Any]] = None,
            tags: typing.Union[str, typing.Iterable[str]] = (),
            unique_tags: typing.Union[str, typing.Iterable[str]] = (),
    ) -> 'SolverFunction[TInvError]':
        """Register function as a solver."""

    @typing.overload
    def register_function(
            self,
            function: None = None,
            *,
            filters: typing.Optional[typing.Mapping[str, typing.Any]] = None,
            tags: typing.Union[str, typing.Iterable[str]] = (),
            unique_tags: typing.Union[str, typing.Iterable[str]] = (),
    ) -> typing.Callable[['SolverFunction[TInvError]'], 'SolverFunction[TInvError]']:
        """Register function as a solver."""

    def register_function(self, function=None, filters=None, tags=(), unique_tags=()):
        """
        Register new solver.

        This method can be used as a decorator, as well as direct function. See :meth:`~SolverCollection.register` for
        more details.

        :param function: Function that should be registered.
        :param filters: Values that should be in the error body in order to apply current fix.
        :param tags: Optional collection of common tags.
        :param unique_tags: Optional collection of tags, that should be unique only for this particular solver.
        """
        if filters is None:
            filters = {}

        def wrapper(item: 'SolverFunction[TInvError]') -> 'SolverFunction[TInvError]':
            self.register(
                solver=SimpleSolver[TInvError](item, **filters),
                tags=tags,
                unique_tags=unique_tags,
            )
            return item

        if function is None:
            return wrapper
        return wrapper(function)

    def solve(
            self,
            error: 'conda_types.CondaErrorOutput',
            *,
            tags: typing.Union[None, str, typing.Iterable[str]] = None,
    ) -> typing.Optional[SolvedError]:
        """
        Detect and solve issues for the `context`.

        :param error: Conda error to solve.
        :param tags: Limit to issue solvers with specific tags.
        :return: Iterator of details about solved issues.
        """
        solver_record: common_solvers.SolverRecord[Solver[typing.Any]]
        for solver_record in self.only(tags=tags):
            message: typing.Optional[str] = solver_record.solver.solve(error)
            if message is not None:
                solved_error: SolvedError = SolvedError(error=error, message=message)
                self.__errors.append(solved_error)
                return solved_error
        return None


POOL: 'typing_extensions.Final[SolverCollection]' = SolverCollection()
