from __future__ import annotations

from typing import TYPE_CHECKING

if TYPE_CHECKING:
    from collections.abc import Collection, Iterable


class NarwhalsError(ValueError):
    """Base class for all Narwhals exceptions."""


class FormattedKeyError(KeyError):
    """KeyError with formatted error message.

    Python's `KeyError` has special casing around formatting
    (see https://bugs.python.org/issue2651). Use this class when the error
    message has newlines and other special format characters.
    Needed by https://github.com/tensorflow/tensorflow/issues/36857.
    """

    message: str

    def __init__(self, message: str) -> None:
        self.message = message

    def __str__(self) -> str:
        return self.message


class ColumnNotFoundError(FormattedKeyError, NarwhalsError):
    """Exception raised when column name isn't present."""

    message: str

    def __init__(self, message: str) -> None:
        self.message = message
        super().__init__(self.message)

    @classmethod
    def from_missing_and_available_column_names(
        cls, missing_columns: Iterable[str], available_columns: Collection[str], /
    ) -> ColumnNotFoundError:
        message = (
            f"The following columns were not found: {sorted(missing_columns)}"
            f"\n\nHint: Did you mean one of these columns: {list(available_columns)}?"
        )
        return ColumnNotFoundError(message)

    @classmethod
    def from_available_column_names(
        cls, available_columns: Collection[str]
    ) -> ColumnNotFoundError:
        message = (
            "The selected columns were not found."
            f"\n\nHint: Did you mean one of these columns: {list(available_columns)}?"
        )
        return ColumnNotFoundError(message)


class ComputeError(NarwhalsError):
    """Exception raised when the underlying computation could not be evaluated."""


class ShapeError(NarwhalsError):
    """Exception raised when trying to perform operations on data structures with incompatible shapes."""


class MultiOutputExpressionError(NarwhalsError):
    """Exception raised when using multi-output expression in unsupported context."""


class DuplicateError(NarwhalsError):
    """Exception when duplicate column names are encountered."""


class InvalidOperationError(NarwhalsError):
    """Exception raised during invalid operations."""


class InvalidIntoExprError(TypeError, NarwhalsError):
    """Exception raised when object can't be converted to expression."""

    message: str

    def __init__(self, message: str) -> None:
        self.message = message
        super().__init__(self.message)

    @classmethod
    def from_invalid_type(cls: type, invalid_type: type) -> InvalidIntoExprError:
        message = (
            f"Expected an object which can be converted into an expression, got {invalid_type}\n\n"
            "Hint:\n"
            "- if you were trying to select a column which does not have a string\n"
            "  column name, then you should explicitly use `nw.col`.\n"
            "  For example, `df.select(nw.col(0))` if you have a column named `0`.\n"
            "- if you were trying to create a new literal column, then you \n"
            "  should explicitly use `nw.lit`.\n"
            "  For example, `df.select(nw.lit(0))` if you want to create a new\n"
            "  column with literal value `0`."
        )
        return InvalidIntoExprError(message)


class UnsupportedDTypeError(NarwhalsError):
    """Exception raised when trying to convert to a DType which is not supported by the given backend."""


class NarwhalsUnstableWarning(UserWarning):
    """Warning issued when a method or function is considered unstable in the stable api."""


class PerformanceWarning(Warning): ...
