"""Perlin Noise calculating lib."""

import itertools
import math
import random
from functools import lru_cache
from typing import Dict, Iterable, List, Optional, Tuple, Union

from perlin_noise.rand_vec import RandVec
from perlin_noise.tools import hasher


class PerlinNoise:
    """Smooth random noise generator.

    read more https://en.wikipedia.org/wiki/Perlin_noise
    """

    def __init__(self, octaves: float = 1, seed: Optional[int] = None):
        """Perlin Noise object initialization class.

            ex.: noise = PerlinNoise(n_dims=2, octaves=3.5, seed=777)

        Parameters:
            octaves : optional positive float, default = 1
                positive number of sub rectangles in each [0, 1] range
            seed : optional positive int, default = None
                specified seed

        Raises:
            ValueError: if seed is negative
        """
        if octaves <= 0:
            raise ValueError("octaves expected to be positive number")

        if seed is not None and not isinstance(seed, int) and seed <= 0:
            raise ValueError("seed expected to be positive integer number")

        self.octaves: float = octaves
        self.seed: int = seed if seed else random.randint(1, 10**5)  # noqa: S311, E501
        self.cache: Dict[Tuple, RandVec] = {}

    def __call__(
        self,
        coordinates: Union[int, float, List, Tuple],
        tile_sizes: Optional[Union[int, List, Tuple]] = None,
    ) -> float:
        """Forward request to noise function.

        Parameters:
            coordinates: float or list of coordinates
            tile_sizes: optional tile sizes to repetative patterns

        Returns:
            noise_value
        """
        return self.noise(coordinates, tile_sizes)

    def noise(  # noqa: WPS231
        self,
        coordinates: Union[int, float, List, Tuple, Iterable],
        tile_sizes: Optional[Union[int, List, Tuple]] = None,
    ) -> float:
        """Get perlin noise value for given coordinates.

        Parameters:
            coordinates: float or list of coordinates
            tile_sizes: optional tile sizes to repetative patterns

        Returns:
            noise_value

        Raises:
            TypeError: if coordinates is not valid type
            ValueError: if tile_sizes have different length than coordinates
        """
        if not isinstance(coordinates, (int, float, list, tuple)):
            raise TypeError("coordinates must be int, float or iterable")

        if isinstance(coordinates, (int, float)):
            coordinates = [coordinates]
        else:
            coordinates = list(coordinates)

        if tile_sizes is not None:
            if isinstance(tile_sizes, int):
                tile_sizes = [tile_sizes]
            # fmt: off
            if not all(isinstance(tile, int) for tile in tile_sizes):
                raise TypeError("tile_sizes must be int or list of int")
            # fmt: on

            if len(tile_sizes) != len(coordinates):
                raise ValueError("tile_sizes must have same length as coordinates")

            coordinates = [coors % tile for coors, tile in zip(coordinates, tile_sizes)]
            tile_sizes = tuple(tile * self.octaves for tile in tile_sizes)
        coordinates = [coordinate * self.octaves for coordinate in coordinates]

        coor_bounding_box = [
            (math.floor(coordinate), math.floor(coordinate) + 1)
            for coordinate in coordinates
        ]
        return sum(
            [
                self.get_from_cache_of_create_new(coors, tile_sizes).get_weighted_val(
                    coordinates,
                )
                for coors in itertools.product(*coor_bounding_box)
            ]  # noqa: C812
        )

    @lru_cache(maxsize=100, typed=False)  # noqa: B019
    def get_from_cache_of_create_new(
        self,
        coors: Tuple[int, ...],
        tile_sizes: Optional[Tuple[int, ...]] = None,
    ) -> RandVec:
        """Use cached RandVec or creates new.

        Parameters:
            coors: Tuple of int vector coordinates
            tile_sizes: optional tile sizes to repetative patterns

        Returns:
            RandVec
        """
        return RandVec(coors, self.seed * hasher(coors, tile_sizes))