from __future__ import annotations

from typing import Iterable, Union

from colour import Color
from colour import hex2rgb
from colour import rgb2hex
import numpy as np

from manimlib.constants import WHITE
from manimlib.constants import COLORMAP_3B1B
from manimlib.utils.bezier import interpolate
from manimlib.utils.iterables import resize_with_interpolation

ManimColor = Union[str, Color]


def color_to_rgb(color: ManimColor) -> np.ndarray:
    if isinstance(color, str):
        return hex_to_rgb(color)
    elif isinstance(color, Color):
        return np.array(color.get_rgb())
    else:
        raise Exception("Invalid color type")


def color_to_rgba(color: ManimColor, alpha: float = 1.0) -> np.ndarray:
    return np.array([*color_to_rgb(color), alpha])


def rgb_to_color(rgb: Iterable[float]) -> Color:
    try:
        return Color(rgb=tuple(rgb))
    except ValueError:
        return Color(WHITE)


def rgba_to_color(rgba: Iterable[float]) -> Color:
    return rgb_to_color(tuple(rgba)[:3])


def rgb_to_hex(rgb: Iterable[float]) -> str:
    return rgb2hex(rgb, force_long=True).upper()


def hex_to_rgb(hex_code: str) -> np.ndarray:
    return np.array(hex2rgb(hex_code))


def invert_color(color: ManimColor) -> Color:
    return rgb_to_color(1.0 - color_to_rgb(color))


def color_to_int_rgb(color: ManimColor) -> np.ndarray:
    return (255 * color_to_rgb(color)).astype('uint8')


def color_to_int_rgba(color: ManimColor, opacity: float = 1.0) -> np.ndarray:
    alpha = int(255 * opacity)
    return np.array([*color_to_int_rgb(color), alpha])


def color_gradient(
    reference_colors: Iterable[ManimColor],
    length_of_output: int
) -> list[Color]:
    if length_of_output == 0:
        return []
    rgbs = list(map(color_to_rgb, reference_colors))
    alphas = np.linspace(0, (len(rgbs) - 1), length_of_output)
    floors = alphas.astype('int')
    alphas_mod1 = alphas % 1
    # End edge case
    alphas_mod1[-1] = 1
    floors[-1] = len(rgbs) - 2
    return [
        rgb_to_color(interpolate(rgbs[i], rgbs[i + 1], alpha))
        for i, alpha in zip(floors, alphas_mod1)
    ]


def interpolate_color(
    color1: ManimColor,
    color2: ManimColor,
    alpha: float
) -> Color:
    rgb = interpolate(color_to_rgb(color1), color_to_rgb(color2), alpha)
    return rgb_to_color(rgb)


def average_color(*colors: ManimColor) -> Color:
    rgbs = np.array(list(map(color_to_rgb, colors)))
    return rgb_to_color(rgbs.mean(0))


def random_color() -> Color:
    return Color(rgb=tuple(np.random.random(3)))


def random_bright_color() -> Color:
    color = random_color()
    return average_color(color, Color(WHITE))


def get_colormap_list(
    map_name: str = "viridis",
    n_colors: int = 9
) -> np.ndarray:
    """
    Options for map_name:
    3b1b_colormap
    magma
    inferno
    plasma
    viridis
    cividis
    twilight
    twilight_shifted
    turbo
    """
    from matplotlib.cm import get_cmap

    if map_name == "3b1b_colormap":
        rgbs = [color_to_rgb(color) for color in COLORMAP_3B1B]
    else:
        rgbs = get_cmap(map_name).colors  # Make more general?
    return resize_with_interpolation(np.array(rgbs), n_colors)