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#!/usr/bin/env python3
import argparse
import os
import sys

import numpy as np
from PIL import Image, ImageColor

try:
    from .create_template import VIEW_NAMES, parse_bg_color, resolve_renderer_path
except ImportError:
    from create_template import VIEW_NAMES, parse_bg_color, resolve_renderer_path


DEFAULT_SIZE = "344x768"


def parse_rgb_color(color):
    if isinstance(color, str):
        return ImageColor.getrgb(color)
    if isinstance(color, (tuple, list)) and len(color) >= 3:
        return tuple(int(channel) for channel in color[:3])
    raise ValueError(f"Invalid RGB color: {color!r}")


def render_visible_grid(mapping_path, skin_alpha, fill_color, grid_color):
    import torch

    mapping = torch.load(mapping_path, map_location="cpu")
    required_keys = ("geometry_uv_layers", "geometry_masks", "geometry_sort_indices")
    missing_keys = [key for key in required_keys if key not in mapping]
    if missing_keys:
        raise KeyError(
            f"Geometry visibility data missing from {mapping_path}: {', '.join(missing_keys)}"
        )

    geometry_uv = mapping["geometry_uv_layers"].cpu().numpy()
    geometry_masks = mapping["geometry_masks"].cpu().numpy().astype(bool)
    sort_indices = mapping["geometry_sort_indices"].cpu().numpy().astype(np.intp)
    if geometry_uv.shape[0] == 0:
        raise ValueError(f"No geometry layers found in mapping: {mapping_path}")

    layer_count, height, width = geometry_masks.shape
    u = geometry_uv[..., 0].astype(np.intp)
    v = geometry_uv[..., 1].astype(np.intp)
    valid_uv = (u >= 0) & (u < 64) & (v >= 0) & (v < 64)
    safe_u = np.clip(u, 0, 63)
    safe_v = np.clip(v, 0, 63)
    layer_visible = geometry_masks & valid_uv & (skin_alpha[safe_v, safe_u] > 0)

    # The sort order is back-to-front, matching DifferentiableRenderer's
    # compositing order. Pick only the nearest visible geometry at every pixel.
    sorted_visible = np.take_along_axis(layer_visible, sort_indices, axis=0)
    has_visible_surface = sorted_visible.any(axis=0)
    nearest_from_front = np.argmax(sorted_visible[::-1], axis=0)
    nearest_position = layer_count - 1 - nearest_from_front
    nearest_geometry = np.take_along_axis(
        sort_indices,
        nearest_position[np.newaxis, ...],
        axis=0,
    )[0]

    rows, columns = np.indices((height, width))
    selected_u = u[nearest_geometry, rows, columns]
    selected_v = v[nearest_geometry, rows, columns]

    # A grid edge is a boundary between visible UV texels/geometries, or the
    # silhouette between visible geometry and the transparent background.
    grid_edges = np.zeros((height, width), dtype=bool)

    left_visible = has_visible_surface[:, :-1]
    right_visible = has_visible_surface[:, 1:]
    horizontal_change = (left_visible != right_visible) | (
        left_visible
        & right_visible
        & (
            (nearest_geometry[:, :-1] != nearest_geometry[:, 1:])
            | (selected_u[:, :-1] != selected_u[:, 1:])
            | (selected_v[:, :-1] != selected_v[:, 1:])
        )
    )
    grid_edges[:, :-1] |= horizontal_change & left_visible
    grid_edges[:, 1:] |= horizontal_change & ~left_visible & right_visible

    top_visible = has_visible_surface[:-1, :]
    bottom_visible = has_visible_surface[1:, :]
    vertical_change = (top_visible != bottom_visible) | (
        top_visible
        & bottom_visible
        & (
            (nearest_geometry[:-1, :] != nearest_geometry[1:, :])
            | (selected_u[:-1, :] != selected_u[1:, :])
            | (selected_v[:-1, :] != selected_v[1:, :])
        )
    )
    grid_edges[:-1, :] |= vertical_change & top_visible
    grid_edges[1:, :] |= vertical_change & ~top_visible & bottom_visible

    grid_edges[0, :] |= has_visible_surface[0, :]
    grid_edges[-1, :] |= has_visible_surface[-1, :]
    grid_edges[:, 0] |= has_visible_surface[:, 0]
    grid_edges[:, -1] |= has_visible_surface[:, -1]

    output = np.zeros((height, width, 4), dtype=np.uint8)
    output[has_visible_surface, :3] = fill_color
    output[has_visible_surface, 3] = 255
    output[grid_edges, :3] = grid_color
    output[grid_edges, 3] = 255
    return Image.fromarray(output, mode="RGBA")


def create_grid_template(
    skin_path,
    output_path,
    renderer_path,
    size=DEFAULT_SIZE,
    bg_color="black",
    fill_color="white",
    grid_color="black",
):
    """Render four visible-surface Minecraft texel grids into one horizontal image."""
    if not os.path.exists(skin_path):
        raise FileNotFoundError(f"Skin image '{skin_path}' does not exist.")

    dmr_path = resolve_renderer_path(renderer_path)
    if dmr_path not in sys.path:
        sys.path.insert(0, dmr_path)

    from config import parse_sizes

    if isinstance(size, str):
        target_size = parse_sizes(size)[0]
    elif isinstance(size, (tuple, list)) and len(size) == 2:
        target_size = (int(size[0]), int(size[1]))
    else:
        target_size = tuple(int(value) for value in DEFAULT_SIZE.split("x"))

    skin_img = Image.open(skin_path).convert("RGBA")
    if skin_img.size != (64, 64):
        raise ValueError(
            f"Minecraft grid rendering requires a 64x64 skin, "
            f"got {skin_img.size[0]}x{skin_img.size[1]}."
        )

    skin_np = np.array(skin_img)
    alpha = skin_np[..., 3]
    semi_transparent = (alpha > 0) & (alpha < 255)
    skin_np[semi_transparent, 3] = 255

    fill_rgb = parse_rgb_color(fill_color)
    grid_rgb = parse_rgb_color(grid_color)
    mappings_dir = os.path.join(dmr_path, f"mappings_{target_size[0]}x{target_size[1]}")
    if not os.path.isdir(mappings_dir):
        raise FileNotFoundError(
            f"Differentiable renderer mappings not found for size "
            f"{target_size[0]}x{target_size[1]}: {mappings_dir}"
        )

    rendered_images = []
    for view_name in VIEW_NAMES:
        print(f"Rendering visible grid view: {view_name} (Size: {target_size})...")
        mapping_path = os.path.join(mappings_dir, f"{view_name}_mapping.pt")
        if not os.path.isfile(mapping_path):
            raise FileNotFoundError(f"View mapping not found: {mapping_path}")
        rendered_image = render_visible_grid(
            mapping_path=mapping_path,
            skin_alpha=skin_np[..., 3],
            fill_color=fill_rgb,
            grid_color=grid_rgb,
        )
        if rendered_image.size != target_size:
            raise ValueError(
                f"Mapping size for {view_name} is {rendered_image.size}, expected {target_size}."
            )
        rendered_images.append(rendered_image)

    widths, heights = zip(*(image.size for image in rendered_images))
    merged_img = Image.new("RGBA", (sum(widths), max(heights)))
    x_offset = 0
    for image in rendered_images:
        merged_img.paste(image, (x_offset, 0))
        x_offset += image.width

    parsed_bg = parse_bg_color(bg_color)
    if parsed_bg is not None:
        background = Image.new("RGBA", merged_img.size, parsed_bg)
        merged_img = Image.alpha_composite(background, merged_img)

    output_dir = os.path.dirname(os.path.abspath(output_path))
    if output_dir:
        os.makedirs(output_dir, exist_ok=True)

    merged_img.save(output_path)
    print(f"Successfully generated grid template: {output_path} (Size: {merged_img.size})")
    return output_path


def main():
    parser = argparse.ArgumentParser(
        description=(
            "Create a horizontal visible-surface grid for the front-left, "
            "front-right, back-left, and back-right Minecraft views."
        )
    )
    parser.add_argument(
        "--skin",
        "--skin_path",
        dest="skin_path",
        required=True,
        help="Path to the input 64x64 Minecraft skin.",
    )
    parser.add_argument(
        "--output",
        "--output_path",
        dest="output_path",
        required=True,
        help="Path to save the merged grid image.",
    )
    parser.add_argument(
        "--renderer_path",
        "--renderer",
        dest="renderer_path",
        required=True,
        help="Path to the differentiable_minecraft_renderer directory.",
    )
    parser.add_argument(
        "--size",
        "--resolution",
        default=DEFAULT_SIZE,
        help=(
            f"Resolution per view (default: {DEFAULT_SIZE}; four horizontal "
            "views produce 1376x768)."
        ),
    )
    parser.add_argument(
        "--bg_color",
        "--bg-color",
        "--background",
        dest="bg_color",
        default="black",
        help="Output background color (default: black); use 'transparent' for transparency.",
    )
    parser.add_argument(
        "--fill_color",
        "--fill-color",
        dest="fill_color",
        default="white",
        help="Visible surface fill color behind the black grid (default: white).",
    )
    parser.add_argument(
        "--grid_color",
        "--grid-color",
        dest="grid_color",
        default="black",
        help="Grid line color (default: black).",
    )

    args = parser.parse_args()
    create_grid_template(
        skin_path=args.skin_path,
        output_path=args.output_path,
        renderer_path=args.renderer_path,
        size=args.size,
        bg_color=args.bg_color,
        fill_color=args.fill_color,
        grid_color=args.grid_color,
    )


if __name__ == "__main__":
    main()