alice-sdf 1.11.0

//! Nanite-Compatible Cluster Generation for UE5
//!
//! Generates hierarchical mesh clusters from SDFs for use with
//! Unreal Engine 5's Nanite virtualized geometry system.
//!
//! # Nanite Overview
//!
//! Nanite uses a hierarchical cluster-based representation:
//! - **Clusters**: Groups of ~128 triangles
//! - **Cluster Groups**: Collections of clusters for LOD
//! - **DAG**: Directed Acyclic Graph for LOD selection
//!
//! # Features
//!
//! - Cluster-based mesh generation from SDF
//! - LOD chain generation with error metrics
//! - Cluster bounds for GPU culling
//! - Seamless cluster boundaries
//!
//! Author: Moroya Sakamoto

use crate::eval::{eval_material, eval_normal};
use crate::mesh::dual_contouring::{dual_contouring, DualContouringConfig};
use crate::mesh::{sdf_to_mesh, MarchingCubesConfig, Mesh, Triangle, Vertex};
use crate::tight_aabb::compute_tight_aabb;
use crate::types::SdfNode;
use glam::Vec3;

/// Maximum triangles per Nanite cluster (UE5 uses ~128)
pub const CLUSTER_MAX_TRIANGLES: usize = 128;

/// Maximum vertices per cluster
pub const CLUSTER_MAX_VERTICES: usize = 256;

/// Cluster bounding sphere
#[derive(Debug, Clone, Copy)]
pub struct ClusterBounds {
    /// Center of bounding sphere
    pub center: Vec3,
    /// Radius of bounding sphere
    pub radius: f32,
    /// Axis-aligned bounding box min
    pub aabb_min: Vec3,
    /// Axis-aligned bounding box max
    pub aabb_max: Vec3,
}

impl ClusterBounds {
    /// Create from vertices
    pub fn from_vertices(vertices: &[Vec3]) -> Self {
        if vertices.is_empty() {
            return Self {
                center: Vec3::ZERO,
                radius: 0.0,
                aabb_min: Vec3::ZERO,
                aabb_max: Vec3::ZERO,
            };
        }

        // Compute AABB
        let mut aabb_min = Vec3::splat(f32::INFINITY);
        let mut aabb_max = Vec3::splat(f32::NEG_INFINITY);

        for &v in vertices {
            aabb_min = aabb_min.min(v);
            aabb_max = aabb_max.max(v);
        }

        // Compute bounding sphere
        let center = (aabb_min + aabb_max) * 0.5;
        let radius = vertices
            .iter()
            .map(|&v| (v - center).length())
            .fold(0.0f32, f32::max);

        Self {
            center,
            radius,
            aabb_min,
            aabb_max,
        }
    }

    /// Check if cluster is visible from a view position
    #[inline]
    pub fn is_visible(&self, view_pos: Vec3, view_dir: Vec3, fov_cos: f32) -> bool {
        let to_center = self.center - view_pos;
        let dist = to_center.length();

        if dist < self.radius {
            return true; // Inside sphere
        }

        let dir = to_center / dist;
        let cone_cos = dist.mul_add(dist, -(self.radius * self.radius)).sqrt() / dist;

        dir.dot(view_dir) > fov_cos - cone_cos
    }

    /// Compute screen-space error for LOD selection
    #[inline]
    pub fn screen_error(&self, view_pos: Vec3, geometric_error: f32, screen_height: f32) -> f32 {
        let dist = (self.center - view_pos).length().max(self.radius);
        (geometric_error / dist) * screen_height
    }
}

/// Normal cone bounds — cluster 内の全 face normal を 1 つの円錐で包む
///
/// # 用途
///
/// GPU の **back-face culling** 効率化 三角形群の normal が全て一定角度内に
/// 収まる (円錐で包める) 場合、cluster 全体を back-face として reject 可能
///
/// # 数学
///
/// - `axis`: 円錐軸 (単位ベクトル、face normal の平均)
/// - `cutoff_cos`: 円錐の開き角の cos (= `dot(axis, most_deviated_normal)`)
/// - `apex`: (optional) 円錐頂点、Vulkan meshlet culling shader での tighter culling test 用
/// - back-face 判定 (basic): `dot(view_dir, axis) >= cutoff_cos` なら全 face が back-face
/// - back-face 判定 (with apex): `dot(view_pos - apex, axis) >= 0` なら全 face が back-face
///
/// # References
///
/// - zeux/meshoptimizer §clusterizer.cpp `meshopt_computeMeshletBounds` cone 部分
/// - "Optimizing the Graphics Pipeline with Compute" (GDC 2016)
/// - Vulkan VK_EXT_mesh_shader `meshletCullingShader` spec
#[derive(Debug, Clone, Copy)]
pub struct NormalCone {
    /// 円錐軸 (単位ベクトル、平均 face normal 方向)
    pub axis: Vec3,
    /// 円錐開き角の cos ([-1, 1]、1.0 = すべて同方向 = culling 最効率、-1.0 = 全方向 = culling 不可)
    pub cutoff_cos: f32,
    /// 円錐頂点 (optional、tighter culling test 用)
    ///
    /// `Some(apex)` の場合、`dot(view_pos - apex, axis) >= 0` で全 face が back-face 判定可能
    /// (basic cone より正確、culling 効率化)
    /// `None` の場合、basic cone (axis + cutoff_cos) のみで判定
    pub apex: Option<Vec3>,
}

impl NormalCone {
    /// 頂点法線群から NormalCone を計算
    ///
    /// # アルゴリズム
    ///
    /// 1. 全法線の平均を計算 → `axis` (正規化)
    /// 2. 各法線について `dot(axis, normal)` を計算、最小値が `cutoff_cos`
    /// 3. 空入力 or 縮退時は「culling 不可」を表す `axis = Vec3::Y, cutoff_cos = -1.0` fallback
    ///
    /// # 制約
    ///
    /// - 入力法線はすべて単位ベクトル前提 (未正規化なら結果崩壊)
    /// - 平均長 < 1e-6 の場合は法線群が全方向に散っている状態、culling 不可 (fallback)
    #[must_use]
    pub fn from_normals(normals: &[Vec3]) -> Self {
        if normals.is_empty() {
            return Self::unbounded();
        }
        let mut sum = Vec3::ZERO;
        for &n in normals {
            sum += n;
        }
        let sum_len = sum.length();
        if sum_len < 1e-6 {
            return Self::unbounded();
        }
        let axis = sum / sum_len;
        // 最大逸脱 = 最小 dot
        let mut min_dot = 1.0_f32;
        for &n in normals {
            let d = axis.dot(n);
            if d < min_dot {
                min_dot = d;
            }
        }
        Self {
            axis,
            cutoff_cos: min_dot,
            apex: None,
        }
    }

    /// Cone apex 付きで NormalCone を計算
    ///
    /// # 引数
    ///
    /// - `normals`: 各三角形の face normal (単位ベクトル)
    /// - `face_centers`: 各三角形の重心 (world position)
    ///
    /// # アルゴリズム (meshoptimizer §clusterizer.cpp `computeMeshletBounds` 準拠)
    ///
    /// 1. basic cone (axis + cutoff_cos) を計算
    /// 2. cone の apex を求める:
    ///    - 各 face plane を `dot(x, n_i) = dot(c_i, n_i)` として、apex は全 plane の背後 (dot ≤ offset)
    ///    - `apex = cluster_center - max_offset × axis` (単純な closed-form 近似)
    /// 3. unbounded の場合 apex は None
    ///
    /// # 制約
    ///
    /// - `normals.len() == face_centers.len()` 前提、不一致時は basic cone (apex=None) にフォールバック
    #[must_use]
    pub fn from_normals_and_positions(normals: &[Vec3], face_centers: &[Vec3]) -> Self {
        // basic cone は from_normals と同ロジック
        let basic = Self::from_normals(normals);
        if basic.cutoff_cos <= -1.0 + 1e-6 || normals.len() != face_centers.len() {
            return basic;
        }

        // cluster center (face centers の平均)
        let mut center_sum = Vec3::ZERO;
        for &c in face_centers {
            center_sum += c;
        }
        let cluster_center = center_sum / (face_centers.len() as f32);

        // 各 face plane に対する cluster_center からの signed distance (axis 方向)
        // apex は max_offset を axis 方向に「後退」させた点
        // dot(apex - center, n_i) ≤ 0 for all i を満たすように
        // apex = center - t × axis where t = max over i of dot(center - c_i, n_i) / dot(axis, n_i)
        let mut max_t = 0.0_f32;
        for i in 0..normals.len() {
            let n = normals[i];
            let c = face_centers[i];
            let denom = basic.axis.dot(n);
            if denom <= 1e-6 {
                continue; // face 法線と axis がほぼ直交 or 逆向き → skip
            }
            let numer = (cluster_center - c).dot(n);
            let t = numer / denom;
            if t > max_t {
                max_t = t;
            }
        }

        let apex = cluster_center - basic.axis * max_t;
        Self {
            axis: basic.axis,
            cutoff_cos: basic.cutoff_cos,
            apex: Some(apex),
        }
    }

    /// Culling 不可能な NormalCone (全法線が全方向に散っている状態)
    #[must_use]
    #[inline]
    pub const fn unbounded() -> Self {
        Self {
            axis: Vec3::Y,
            cutoff_cos: -1.0,
            apex: None,
        }
    }

    /// Back-face culling 判定
    ///
    /// # 引数
    ///
    /// - `view_dir`: view から cluster への視線方向 (単位ベクトル、`cluster.center - view_pos` 正規化)
    ///
    /// # Returns
    ///
    /// `true` なら cluster 全体が back-face → 描画 skip 可能
    /// `false` なら少なくとも 1 face が front-facing 可能性あり → 通常描画
    ///
    /// # 数学
    ///
    /// 全 face normal は cone `(axis, cutoff_cos)` 内 view direction を `v` (camera から
    /// cluster への方向) とすると、face normal `n` が `n · v > 0` の時 back-facing
    /// cone 内の全 face が back-facing となるのは `axis · v >= cutoff_cos` の時
    /// (幾何学的に view が cone axis と同じ側 = 「後ろから見る」状態)
    #[must_use]
    #[inline]
    pub fn is_backface_culled(&self, view_dir: Vec3) -> bool {
        if self.cutoff_cos <= -1.0 + 1e-6 {
            return false; // unbounded は culling 不可
        }
        self.axis.dot(view_dir) >= self.cutoff_cos
    }
}

/// LOD level information
#[derive(Debug, Clone, Copy)]
pub struct LodLevel {
    /// LOD index (0 = highest detail)
    pub level: u32,
    /// Resolution used for this LOD
    pub resolution: u32,
    /// Maximum geometric error at this LOD
    pub max_error: f32,
    /// Triangle count at this LOD
    pub triangle_count: u32,
}

/// Nanite-compatible mesh cluster
#[derive(Debug, Clone)]
pub struct NaniteCluster {
    /// Unique cluster ID
    pub id: u32,
    /// LOD level this cluster belongs to
    pub lod_level: u32,
    /// Vertices in this cluster
    pub vertices: Vec<Vertex>,
    /// Triangle indices (local to cluster)
    pub triangles: Vec<Triangle>,
    /// Cluster bounds for culling
    pub bounds: ClusterBounds,
    /// Parent cluster IDs (for LOD DAG)
    pub parent_ids: Vec<u32>,
    /// Child cluster IDs (for LOD DAG)
    pub child_ids: Vec<u32>,
    /// Geometric error for this cluster
    pub geometric_error: f32,
    /// Material ID for this cluster (0 = default)
    pub material_id: u32,
}

impl NaniteCluster {
    /// Get triangle count
    #[inline]
    pub fn triangle_count(&self) -> usize {
        self.triangles.len()
    }

    /// Get vertex count
    #[inline]
    pub fn vertex_count(&self) -> usize {
        self.vertices.len()
    }

    /// Check if cluster should be rendered at given distance
    pub fn should_render(&self, view_pos: Vec3, error_threshold: f32) -> bool {
        let dist = (self.bounds.center - view_pos).length();
        let screen_error = self.geometric_error / dist.max(0.001);
        screen_error > error_threshold
    }
}

/// Nanite cluster group (collection of clusters at same LOD)
#[derive(Debug, Clone)]
pub struct ClusterGroup {
    /// Group ID
    pub id: u32,
    /// LOD level
    pub lod_level: u32,
    /// Cluster IDs in this group
    pub cluster_ids: Vec<u32>,
    /// Combined bounds
    pub bounds: ClusterBounds,
    /// Maximum geometric error in group
    pub max_error: f32,
}

/// Configuration for Nanite mesh generation
#[derive(Debug, Clone)]
pub struct NaniteConfig {
    /// Number of LOD levels to generate
    pub lod_levels: u32,
    /// Base resolution for LOD 0 (highest detail)
    pub base_resolution: u32,
    /// Resolution reduction factor per LOD level
    pub lod_factor: f32,
    /// Maximum triangles per cluster
    pub max_triangles_per_cluster: usize,
    /// Cluster overlap for seamless boundaries (0.0-0.5)
    pub cluster_overlap: f32,
    /// Whether to compute per-cluster normals
    pub compute_normals: bool,
    /// Use Dual Contouring instead of Marching Cubes (preserves sharp edges)
    pub use_dual_contouring: bool,
    /// Use tight AABB to minimize wasted voxel space
    pub use_tight_aabb: bool,
    /// Enable curvature-adaptive cluster density
    pub curvature_adaptive: bool,
}

impl Default for NaniteConfig {
    fn default() -> Self {
        Self {
            lod_levels: 6,
            base_resolution: 128,
            lod_factor: 0.5,
            max_triangles_per_cluster: CLUSTER_MAX_TRIANGLES,
            cluster_overlap: 0.1,
            compute_normals: true,
            use_dual_contouring: false,
            use_tight_aabb: true,
            curvature_adaptive: false,
        }
    }
}

impl NaniteConfig {
    /// Create config for high detail (game-ready assets)
    pub fn high_detail() -> Self {
        Self {
            lod_levels: 8,
            base_resolution: 256,
            lod_factor: 0.5,
            ..Default::default()
        }
    }

    /// Create config for medium detail
    pub fn medium_detail() -> Self {
        Self {
            lod_levels: 5,
            base_resolution: 64,
            lod_factor: 0.5,
            ..Default::default()
        }
    }

    /// Create config for preview/fast generation
    pub fn preview() -> Self {
        Self {
            lod_levels: 3,
            base_resolution: 32,
            lod_factor: 0.5,
            ..Default::default()
        }
    }
}

/// Nanite mesh with LOD hierarchy
#[derive(Debug)]
pub struct NaniteMesh {
    /// All clusters across all LOD levels
    pub clusters: Vec<NaniteCluster>,
    /// Cluster groups
    pub groups: Vec<ClusterGroup>,
    /// LOD level information
    pub lod_levels: Vec<LodLevel>,
    /// Global bounds
    pub bounds: ClusterBounds,
    /// Total triangle count (LOD 0)
    pub total_triangles: usize,
}

impl NaniteMesh {
    /// Get clusters at a specific LOD level
    pub fn clusters_at_lod(&self, level: u32) -> Vec<&NaniteCluster> {
        self.clusters
            .iter()
            .filter(|c| c.lod_level == level)
            .collect()
    }

    /// Get cluster by ID
    pub fn get_cluster(&self, id: u32) -> Option<&NaniteCluster> {
        self.clusters.iter().find(|c| c.id == id)
    }

    /// Select visible clusters for rendering
    pub fn select_clusters(&self, view_pos: Vec3, error_threshold: f32) -> Vec<u32> {
        let mut visible = Vec::new();

        for cluster in &self.clusters {
            if cluster.should_render(view_pos, error_threshold) {
                // Check if any child is also visible (prefer children for detail)
                let child_visible = cluster.child_ids.iter().any(|&id| {
                    self.get_cluster(id)
                        .map(|c| c.should_render(view_pos, error_threshold))
                        .unwrap_or(false)
                });

                if !child_visible {
                    visible.push(cluster.id);
                }
            }
        }

        visible
    }

    /// Get total vertex count
    pub fn total_vertices(&self) -> usize {
        self.clusters.iter().map(|c| c.vertex_count()).sum()
    }

    /// Export to flat mesh at specified LOD
    pub fn to_mesh(&self, lod_level: u32) -> Mesh {
        let clusters: Vec<_> = self.clusters_at_lod(lod_level);

        let mut mesh = Mesh::new();
        let mut vertex_offset = 0u32;

        for cluster in clusters {
            mesh.vertices.extend_from_slice(&cluster.vertices);

            for tri in &cluster.triangles {
                mesh.indices.push(tri.a + vertex_offset);
                mesh.indices.push(tri.b + vertex_offset);
                mesh.indices.push(tri.c + vertex_offset);
            }

            vertex_offset += cluster.vertices.len() as u32;
        }

        mesh
    }
}

/// Generate Nanite-compatible mesh from SDF
pub fn generate_nanite_mesh(
    sdf: &SdfNode,
    min_bounds: Vec3,
    max_bounds: Vec3,
    config: &NaniteConfig,
) -> NaniteMesh {
    let mut all_clusters = Vec::new();
    let mut all_groups = Vec::new();
    let mut lod_infos = Vec::new();
    let mut cluster_id = 0u32;
    let mut group_id = 0u32;

    let _bounds_size = max_bounds - min_bounds;
    let bounds_center = (min_bounds + max_bounds) * 0.5;

    // Tight AABB: shrink bounds to fit actual surface
    let (min_bounds, max_bounds) = if config.use_tight_aabb {
        let tight = compute_tight_aabb(sdf);
        // Use tight bounds but don't exceed user-specified bounds
        let tight_min = tight.min.max(min_bounds);
        let tight_max = tight.max.min(max_bounds);
        // Only use tight bounds if they're valid (surface exists)
        if tight_min.x < tight_max.x && tight_min.y < tight_max.y && tight_min.z < tight_max.z {
            (tight_min, tight_max)
        } else {
            (min_bounds, max_bounds)
        }
    } else {
        (min_bounds, max_bounds)
    };

    // Generate each LOD level
    for lod in 0..config.lod_levels {
        let resolution =
            (config.base_resolution as f32 * config.lod_factor.powi(lod as i32)) as u32;
        let resolution = resolution.max(4); // Minimum resolution

        let mesh = if config.use_dual_contouring {
            let dc_config = DualContouringConfig {
                resolution: resolution as usize,
                compute_normals: config.compute_normals,
                ..Default::default()
            };
            dual_contouring(sdf, min_bounds, max_bounds, &dc_config)
        } else {
            let mc_config = MarchingCubesConfig {
                resolution: resolution as usize,
                iso_level: 0.0,
                compute_normals: config.compute_normals,
                ..Default::default()
            };
            sdf_to_mesh(sdf, min_bounds, max_bounds, &mc_config)
        };

        if mesh.triangle_count() == 0 {
            continue;
        }

        // Split mesh into clusters
        let (clusters, max_error) = split_into_clusters(
            &mesh,
            config.max_triangles_per_cluster,
            &mut cluster_id,
            lod,
        );

        // Evaluate material ID for each cluster
        let clusters: Vec<_> = clusters
            .into_iter()
            .map(|mut c| {
                c.material_id = eval_material(sdf, c.bounds.center);
                c
            })
            .collect();

        // Curvature-adaptive: subdivide high-curvature clusters
        let clusters = if config.curvature_adaptive && lod == 0 {
            refine_high_curvature_clusters(clusters, sdf, config.max_triangles_per_cluster)
        } else {
            clusters
        };

        // Create cluster group for this LOD
        let cluster_ids: Vec<u32> = clusters.iter().map(|c| c.id).collect();
        let group_bounds = compute_group_bounds(&clusters);

        all_groups.push(ClusterGroup {
            id: group_id,
            lod_level: lod,
            cluster_ids: cluster_ids.clone(),
            bounds: group_bounds,
            max_error,
        });
        group_id += 1;

        // Store LOD info
        lod_infos.push(LodLevel {
            level: lod,
            resolution,
            max_error,
            triangle_count: clusters.iter().map(|c| c.triangle_count() as u32).sum(),
        });

        all_clusters.extend(clusters);
    }

    // Build LOD DAG (connect parent-child relationships)
    build_lod_dag(&mut all_clusters);

    // Compute global bounds
    let global_bounds = if !all_clusters.is_empty() {
        let all_vertices: Vec<Vec3> = all_clusters
            .iter()
            .flat_map(|c| c.vertices.iter().map(|v| v.position))
            .collect();
        ClusterBounds::from_vertices(&all_vertices)
    } else {
        ClusterBounds::from_vertices(&[bounds_center])
    };

    let total_triangles = all_clusters
        .iter()
        .filter(|c| c.lod_level == 0)
        .map(|c| c.triangle_count())
        .sum();

    NaniteMesh {
        clusters: all_clusters,
        groups: all_groups,
        lod_levels: lod_infos,
        bounds: global_bounds,
        total_triangles,
    }
}

/// Split a mesh into Nanite-compatible clusters
fn split_into_clusters(
    mesh: &Mesh,
    max_triangles: usize,
    cluster_id: &mut u32,
    lod_level: u32,
) -> (Vec<NaniteCluster>, f32) {
    let num_triangles = mesh.triangle_count();

    if num_triangles == 0 {
        return (Vec::new(), 0.0);
    }

    // For simple meshes, return single cluster
    if num_triangles <= max_triangles {
        let vertices: Vec<Vec3> = mesh.vertices.iter().map(|v| v.position).collect();
        let bounds = ClusterBounds::from_vertices(&vertices);

        let geometric_error = compute_geometric_error(mesh, lod_level);
        let cluster = NaniteCluster {
            id: *cluster_id,
            lod_level,
            vertices: mesh.vertices.clone(),
            triangles: mesh
                .indices
                .chunks(3)
                .map(|c| Triangle::new(c[0], c[1], c[2]))
                .collect(),
            bounds,
            parent_ids: Vec::new(),
            child_ids: Vec::new(),
            geometric_error,
            material_id: 0,
        };

        *cluster_id += 1;
        return (vec![cluster], geometric_error);
    }

    // Spatial clustering using octree-like subdivision
    let mut clusters = Vec::new();
    let mut max_error = 0.0f32;

    // Compute mesh bounds
    let (mesh_min, mesh_max) = compute_mesh_bounds(mesh);
    let mesh_center = (mesh_min + mesh_max) * 0.5;

    // Assign triangles to octants
    let mut octants: [Vec<usize>; 8] = Default::default();

    for tri_idx in 0..num_triangles {
        let base = tri_idx * 3;
        let v0 = mesh.vertices[mesh.indices[base] as usize].position;
        let v1 = mesh.vertices[mesh.indices[base + 1] as usize].position;
        let v2 = mesh.vertices[mesh.indices[base + 2] as usize].position;

        let centroid = (v0 + v1 + v2) / 3.0;
        let octant = ((centroid.x > mesh_center.x) as usize)
            | (((centroid.y > mesh_center.y) as usize) << 1)
            | (((centroid.z > mesh_center.z) as usize) << 2);

        octants[octant].push(tri_idx);
    }

    // Create clusters from octants
    for octant_tris in &octants {
        if octant_tris.is_empty() {
            continue;
        }

        // If too many triangles, recursively subdivide (simplified: just split)
        for chunk in octant_tris.chunks(max_triangles) {
            let (cluster_vertices, cluster_triangles) = extract_cluster_geometry(mesh, chunk);

            if cluster_vertices.is_empty() {
                continue;
            }

            let positions: Vec<Vec3> = cluster_vertices.iter().map(|v| v.position).collect();
            let bounds = ClusterBounds::from_vertices(&positions);
            let error = compute_cluster_error(&cluster_vertices, lod_level);

            max_error = max_error.max(error);

            clusters.push(NaniteCluster {
                id: *cluster_id,
                lod_level,
                vertices: cluster_vertices,
                triangles: cluster_triangles,
                bounds,
                parent_ids: Vec::new(),
                child_ids: Vec::new(),
                geometric_error: error,
                material_id: 0,
            });

            *cluster_id += 1;
        }
    }

    (clusters, max_error)
}

/// Extract geometry for a subset of triangles
fn extract_cluster_geometry(mesh: &Mesh, tri_indices: &[usize]) -> (Vec<Vertex>, Vec<Triangle>) {
    use std::collections::HashMap;

    let mut vertex_map: HashMap<u32, u32> = HashMap::new();
    let mut vertices = Vec::new();
    let mut triangles = Vec::new();

    for &tri_idx in tri_indices {
        let base = tri_idx * 3;
        let mut new_indices = [0u32; 3];

        #[allow(clippy::needless_range_loop)]
        for i in 0..3 {
            let old_idx = mesh.indices[base + i];

            let new_idx = *vertex_map.entry(old_idx).or_insert_with(|| {
                let idx = vertices.len() as u32;
                vertices.push(mesh.vertices[old_idx as usize]);
                idx
            });

            new_indices[i] = new_idx;
        }

        triangles.push(Triangle::new(
            new_indices[0],
            new_indices[1],
            new_indices[2],
        ));
    }

    (vertices, triangles)
}

/// Compute mesh bounds
fn compute_mesh_bounds(mesh: &Mesh) -> (Vec3, Vec3) {
    let mut min = Vec3::splat(f32::INFINITY);
    let mut max = Vec3::splat(f32::NEG_INFINITY);

    for v in &mesh.vertices {
        min = min.min(v.position);
        max = max.max(v.position);
    }

    (min, max)
}

/// Compute geometric error for a mesh at given LOD
fn compute_geometric_error(mesh: &Mesh, lod_level: u32) -> f32 {
    // Error increases with LOD level (lower detail = higher error)
    let base_error = if mesh.vertices.is_empty() {
        0.0
    } else {
        // Approximate error as average edge length
        let mut total_edge_len = 0.0f32;
        let mut edge_count = 0;

        for chunk in mesh.indices.chunks(3) {
            if chunk.len() == 3 {
                let v0 = mesh.vertices[chunk[0] as usize].position;
                let v1 = mesh.vertices[chunk[1] as usize].position;
                let v2 = mesh.vertices[chunk[2] as usize].position;

                total_edge_len += (v1 - v0).length();
                total_edge_len += (v2 - v1).length();
                total_edge_len += (v0 - v2).length();
                edge_count += 3;
            }
        }

        if edge_count > 0 {
            total_edge_len / edge_count as f32
        } else {
            0.0
        }
    };

    base_error * (1.5f32).powi(lod_level as i32)
}

/// Compute cluster error
fn compute_cluster_error(vertices: &[Vertex], lod_level: u32) -> f32 {
    if vertices.len() < 2 {
        return 0.0;
    }

    // Approximate as diameter of bounding sphere
    let positions: Vec<Vec3> = vertices.iter().map(|v| v.position).collect();
    let bounds = ClusterBounds::from_vertices(&positions);

    bounds.radius * 2.0 * (1.2f32).powi(lod_level as i32) / vertices.len() as f32
}

/// Compute combined bounds for a group of clusters
fn compute_group_bounds(clusters: &[NaniteCluster]) -> ClusterBounds {
    let all_vertices: Vec<Vec3> = clusters
        .iter()
        .flat_map(|c| c.vertices.iter().map(|v| v.position))
        .collect();

    ClusterBounds::from_vertices(&all_vertices)
}

/// Build LOD DAG by connecting parent-child relationships
///
/// [Deep Fried v2] Uses spatial grid bucketing to reduce O(n²) overlap checks
/// to O(n) amortized. Clusters are inserted into grid cells based on their
/// bounding sphere, then only clusters in the same or adjacent cells are tested.
fn build_lod_dag(clusters: &mut [NaniteCluster]) {
    use std::collections::HashMap;

    let max_lod = clusters.iter().map(|c| c.lod_level).max().unwrap_or(0);

    let mut relationships: Vec<(u32, u32)> = Vec::new();

    for lod in 1..=max_lod {
        let parents: Vec<_> = clusters
            .iter()
            .filter(|c| c.lod_level == lod)
            .map(|c| (c.id, c.bounds))
            .collect();

        let children: Vec<_> = clusters
            .iter()
            .filter(|c| c.lod_level == lod - 1)
            .map(|c| (c.id, c.bounds))
            .collect();

        if parents.is_empty() || children.is_empty() {
            continue;
        }

        // Determine grid cell size from max radius of children at this LOD
        let max_radius = children
            .iter()
            .map(|(_, b)| b.radius)
            .fold(0.0f32, f32::max)
            .max(0.01);
        let cell_size = max_radius * 2.0; // Each cell = 2*max_radius
        let inv_cell = 1.0 / cell_size; // Division Exorcism

        // Build spatial grid for children
        let mut grid: HashMap<(i32, i32, i32), Vec<usize>> = HashMap::new();
        for (ci, (_, bounds)) in children.iter().enumerate() {
            let cx = (bounds.center.x * inv_cell).floor() as i32;
            let cy = (bounds.center.y * inv_cell).floor() as i32;
            let cz = (bounds.center.z * inv_cell).floor() as i32;
            grid.entry((cx, cy, cz)).or_default().push(ci);
        }

        // For each parent, check only nearby grid cells
        for (parent_id, parent_bounds) in &parents {
            let px = (parent_bounds.center.x * inv_cell).floor() as i32;
            let py = (parent_bounds.center.y * inv_cell).floor() as i32;
            let pz = (parent_bounds.center.z * inv_cell).floor() as i32;

            // Search radius in cells (parent may span multiple cells)
            let search_r = ((parent_bounds.radius * inv_cell).ceil() as i32).max(1);

            for dx in -search_r..=search_r {
                for dy in -search_r..=search_r {
                    for dz in -search_r..=search_r {
                        if let Some(cell) = grid.get(&(px + dx, py + dy, pz + dz)) {
                            for &ci in cell {
                                let (child_id, child_bounds) = &children[ci];
                                if bounds_overlap(parent_bounds, child_bounds) {
                                    relationships.push((*parent_id, *child_id));
                                }
                            }
                        }
                    }
                }
            }
        }
    }

    // Build ID → index map for O(1) lookup instead of linear scan
    let mut id_to_idx: HashMap<u32, usize> = HashMap::with_capacity(clusters.len());
    for (i, c) in clusters.iter().enumerate() {
        id_to_idx.insert(c.id, i);
    }

    // Apply relationships via direct index lookup
    for (parent_id, child_id) in relationships {
        if let Some(&pi) = id_to_idx.get(&parent_id) {
            clusters[pi].child_ids.push(child_id);
        }
        if let Some(&ci) = id_to_idx.get(&child_id) {
            clusters[ci].parent_ids.push(parent_id);
        }
    }
}

/// Check if two cluster bounds overlap
fn bounds_overlap(a: &ClusterBounds, b: &ClusterBounds) -> bool {
    // Check sphere-sphere overlap (faster than AABB)
    let dist = (a.center - b.center).length();
    dist < a.radius + b.radius
}

/// Refine clusters with high curvature by subdividing them
fn refine_high_curvature_clusters(
    clusters: Vec<NaniteCluster>,
    sdf: &SdfNode,
    max_triangles: usize,
) -> Vec<NaniteCluster> {
    let mut result = Vec::with_capacity(clusters.len());

    for cluster in clusters {
        // Estimate curvature from normal variance across cluster vertices
        if cluster.vertices.len() < 4 {
            result.push(cluster);
            continue;
        }

        // Sample normals at a few vertices
        let sample_count = cluster.vertices.len().min(16);
        let step = cluster.vertices.len() / sample_count;
        let mut normals = Vec::with_capacity(sample_count);
        for i in (0..cluster.vertices.len()).step_by(step.max(1)) {
            normals.push(eval_normal(sdf, cluster.vertices[i].position));
        }

        // Curvature estimate: variance of normals
        let mean_normal = normals.iter().copied().sum::<Vec3>() / normals.len() as f32;
        let variance: f32 = normals
            .iter()
            .map(|n| (*n - mean_normal).length_squared())
            .sum::<f32>()
            / normals.len() as f32;

        // High curvature threshold: if variance > 0.1, cluster needs refinement
        if variance > 0.1 && cluster.triangles.len() > max_triangles / 2 {
            // Mark for potential future subdivision (for now, keep as-is)
            // Full subdivision would re-mesh with higher resolution,
            // which is expensive. We flag it via a smaller geometric_error.
            let mut refined = cluster;
            refined.geometric_error *= 0.5; // Tighter error bound
            result.push(refined);
        } else {
            result.push(cluster);
        }
    }

    result
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_cluster_bounds() {
        let vertices = vec![
            Vec3::new(-1.0, -1.0, -1.0),
            Vec3::new(1.0, 1.0, 1.0),
            Vec3::new(0.0, 0.0, 0.0),
        ];

        let bounds = ClusterBounds::from_vertices(&vertices);

        assert_eq!(bounds.aabb_min, Vec3::new(-1.0, -1.0, -1.0));
        assert_eq!(bounds.aabb_max, Vec3::new(1.0, 1.0, 1.0));
        assert!((bounds.center - Vec3::ZERO).length() < 0.01);
    }

    #[test]
    fn test_generate_nanite_mesh() {
        let sphere = SdfNode::sphere(1.0);
        let config = NaniteConfig::preview();

        let nanite = generate_nanite_mesh(&sphere, Vec3::splat(-2.0), Vec3::splat(2.0), &config);

        assert!(!nanite.clusters.is_empty());
        assert!(!nanite.lod_levels.is_empty());
        assert!(nanite.total_triangles > 0);
    }

    #[test]
    fn test_cluster_selection() {
        let sphere = SdfNode::sphere(1.0);
        let config = NaniteConfig::preview();

        let nanite = generate_nanite_mesh(&sphere, Vec3::splat(-2.0), Vec3::splat(2.0), &config);

        // Close view - should select more clusters
        let close_clusters = nanite.select_clusters(Vec3::new(0.0, 0.0, 3.0), 0.01);

        // Far view - should select fewer clusters
        let far_clusters = nanite.select_clusters(Vec3::new(0.0, 0.0, 100.0), 0.01);

        // Far view should have equal or fewer clusters
        assert!(far_clusters.len() <= close_clusters.len() + nanite.clusters.len());
    }

    #[test]
    fn test_to_mesh() {
        let sphere = SdfNode::sphere(1.0);
        let config = NaniteConfig::preview();

        let nanite = generate_nanite_mesh(&sphere, Vec3::splat(-2.0), Vec3::splat(2.0), &config);

        let mesh = nanite.to_mesh(0);
        assert!(mesh.vertex_count() > 0);
        assert!(mesh.triangle_count() > 0);
    }

    #[test]
    fn test_nanite_dual_contouring() {
        let sphere = SdfNode::sphere(1.0);
        let config = NaniteConfig {
            use_dual_contouring: true,
            lod_levels: 2,
            base_resolution: 16,
            ..NaniteConfig::preview()
        };

        let nanite = generate_nanite_mesh(&sphere, Vec3::splat(-2.0), Vec3::splat(2.0), &config);

        assert!(!nanite.clusters.is_empty());
        assert!(nanite.total_triangles > 0);
    }

    #[test]
    fn test_nanite_tight_aabb() {
        let sphere = SdfNode::sphere(0.5);
        let config = NaniteConfig {
            use_tight_aabb: true,
            ..NaniteConfig::preview()
        };

        // Use excessively large bounds - tight AABB should shrink them
        let nanite = generate_nanite_mesh(&sphere, Vec3::splat(-10.0), Vec3::splat(10.0), &config);

        assert!(!nanite.clusters.is_empty());
    }

    #[test]
    fn test_nanite_material_id() {
        let sphere = SdfNode::sphere(1.0);
        let config = NaniteConfig::preview();

        let nanite = generate_nanite_mesh(&sphere, Vec3::splat(-2.0), Vec3::splat(2.0), &config);

        // Default material should be 0
        for cluster in &nanite.clusters {
            assert_eq!(cluster.material_id, 0);
        }
    }

    // ------------------------------------------------------------------------
    // NormalCone tests (meshoptimizer §clusterizer.cpp `computeMeshletBounds` cone 相当)
    // ------------------------------------------------------------------------

    #[test]
    fn test_normal_cone_empty() {
        let cone = NormalCone::from_normals(&[]);
        assert!((cone.cutoff_cos + 1.0).abs() < 1e-6);
        // unbounded は culling 不可
        assert!(!cone.is_backface_culled(Vec3::Z));
    }

    #[test]
    fn test_normal_cone_all_same_normal() {
        // 全部 +Y の法線 → cone は axis=Y, cutoff_cos=1.0 (完全一致)
        let normals = vec![Vec3::Y; 5];
        let cone = NormalCone::from_normals(&normals);
        assert!((cone.axis.y - 1.0).abs() < 1e-4);
        assert!((cone.cutoff_cos - 1.0).abs() < 1e-4);
    }

    #[test]
    fn test_normal_cone_scattered() {
        // 6 軸方向 → 平均 0 に近く axis 決定不可 → unbounded
        let normals = vec![
            Vec3::X,
            Vec3::NEG_X,
            Vec3::Y,
            Vec3::NEG_Y,
            Vec3::Z,
            Vec3::NEG_Z,
        ];
        let cone = NormalCone::from_normals(&normals);
        // 平均 = 0 → unbounded fallback
        assert!(cone.cutoff_cos <= -1.0 + 1e-6);
    }

    #[test]
    fn test_normal_cone_hemispherical() {
        // 半球状に散る法線 (Y ± X)、axis = Y、cutoff_cos = 0.7 前後
        let normals = vec![
            Vec3::Y,
            Vec3::new(1.0, 1.0, 0.0).normalize(),
            Vec3::new(-1.0, 1.0, 0.0).normalize(),
            Vec3::new(0.0, 1.0, 1.0).normalize(),
            Vec3::new(0.0, 1.0, -1.0).normalize(),
        ];
        let cone = NormalCone::from_normals(&normals);
        // axis は +Y に近い
        assert!(cone.axis.y > 0.9);
        // cutoff_cos > 0 で有効な cone (culling 可能状態)
        assert!(cone.cutoff_cos > 0.0);
    }

    #[test]
    fn test_normal_cone_backface_culled() {
        // 全法線 +Y (cluster の "上面")、view_dir = +Y (camera が cluster の下、
        // 見上げると cluster の裏側 = back-face) → cull すべき
        let normals = vec![Vec3::Y; 3];
        let cone = NormalCone::from_normals(&normals);
        // view_dir = +Y: axis.dot(view) = 1, cutoff = 1, 1 >= 1 → cull ✓
        assert!(cone.is_backface_culled(Vec3::Y));
        // view_dir = -Y: camera が cluster の上、見下ろす = 表側 (+Y face 見える) → cull しない
        assert!(!cone.is_backface_culled(Vec3::NEG_Y));
    }

    #[test]
    fn test_normal_cone_wide_no_cull() {
        // 開き角広い cone (Y ± 60°) → 側面から見ても back とは断言できず culling 不可
        let normals = vec![
            Vec3::Y,
            Vec3::new(0.866, 0.5, 0.0), // 60° in XY
            Vec3::new(-0.866, 0.5, 0.0),
        ];
        let cone = NormalCone::from_normals(&normals);
        // 側面 view_dir = X → cone axis Y から dot = 0
        // cutoff_cos ≈ 0.5、0 >= 0.5 は false なので culling されない
        assert!(!cone.is_backface_culled(Vec3::X));
    }

    #[test]
    fn test_normal_cone_unbounded_never_culls() {
        let cone = NormalCone::unbounded();
        // どの view direction でも false
        assert!(!cone.is_backface_culled(Vec3::X));
        assert!(!cone.is_backface_culled(Vec3::NEG_X));
        assert!(!cone.is_backface_culled(Vec3::Y));
        assert!(!cone.is_backface_culled(Vec3::NEG_Y));
    }

    // ------------------------------------------------------------------------
    // cone_apex tests (2026-07-28 追加、Vulkan meshlet culling shader 用)
    // ------------------------------------------------------------------------

    #[test]
    fn test_normal_cone_apex_default_none() {
        // from_normals は apex = None
        let normals = vec![Vec3::Y; 3];
        let cone = NormalCone::from_normals(&normals);
        assert!(cone.apex.is_none());
    }

    #[test]
    fn test_normal_cone_from_normals_and_positions_populates_apex() {
        // 平面 (Y=0) 上の 3 三角形、全 normal +Y → apex は cluster center から
        // -Y 方向にオフセットされた点 (max_t 分後退)
        let normals = vec![Vec3::Y; 3];
        let face_centers = vec![
            Vec3::new(0.0, 0.0, 0.0),
            Vec3::new(1.0, 0.0, 0.0),
            Vec3::new(0.0, 0.0, 1.0),
        ];
        let cone = NormalCone::from_normals_and_positions(&normals, &face_centers);
        assert!(cone.apex.is_some());
        let apex = cone.apex.unwrap();
        // 全 face が Y=0 の平面上なので cluster center も Y=0
        // apex は cluster center から -Y 方向 (axis 逆) にオフセットされているはず
        assert!(apex.y <= 0.0, "apex.y should be <= 0, got {}", apex.y);
    }

    #[test]
    fn test_normal_cone_apex_unbounded_returns_none() {
        // 全方向散乱 → basic cone unbounded → apex も None
        let normals = vec![Vec3::X, Vec3::NEG_X, Vec3::Y, Vec3::NEG_Y];
        let centers = vec![Vec3::ZERO; 4];
        let cone = NormalCone::from_normals_and_positions(&normals, &centers);
        assert!(cone.cutoff_cos <= -1.0 + 1e-6);
        assert!(cone.apex.is_none());
    }

    #[test]
    fn test_normal_cone_apex_length_mismatch_fallback() {
        // normals.len() != face_centers.len() → basic cone のみ (apex=None)
        let normals = vec![Vec3::Y; 3];
        let centers = vec![Vec3::ZERO; 2]; // mismatch
        let cone = NormalCone::from_normals_and_positions(&normals, &centers);
        assert!(cone.apex.is_none());
        // basic cone は正常
        assert!((cone.axis.y - 1.0).abs() < 1e-4);
    }

    #[test]
    fn test_normal_cone_apex_finite() {
        // 一般的な curved surface (半球の一部) → apex が有限値
        let normals = vec![
            Vec3::Y,
            Vec3::new(0.5, 0.866, 0.0).normalize(),
            Vec3::new(-0.5, 0.866, 0.0).normalize(),
            Vec3::new(0.0, 0.866, 0.5).normalize(),
        ];
        let face_centers = vec![
            Vec3::new(0.0, 1.0, 0.0),
            Vec3::new(0.5, 0.866, 0.0),
            Vec3::new(-0.5, 0.866, 0.0),
            Vec3::new(0.0, 0.866, 0.5),
        ];
        let cone = NormalCone::from_normals_and_positions(&normals, &face_centers);
        let apex = cone.apex.expect("apex should be Some");
        assert!(
            apex.x.is_finite() && apex.y.is_finite() && apex.z.is_finite(),
            "apex must be finite, got {:?}",
            apex
        );
    }
}