amberjs 1.16.1

use std::collections::{BTreeMap, HashMap};

// 手部追踪系统
/// 手势类型
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum Gesture {
    /// 未知
    Unknown,
    /// 握拳
    Fist,
    /// 张开
    Open,
    /// 捏合
    Pinch,
    /// 点击
    Point,
    /// 竖大拇指
    ThumbsUp,
    /// OK 手势
    Ok,
    /// 和平手势
    Peace,
    /// 抓取
    Grab,
}
impl Default for Gesture {
    fn default() -> Self {
        Self::Unknown
    }
}
/// 手部追踪配置
#[derive(Debug, Clone)]
pub struct HandTrackingConfig {
    /// 采样率 (Hz)
    pub sample_rate: u32,
    /// 启用手势识别
    pub enable_gesture_recognition: bool,
    /// 预测延迟补偿 (ms)
    pub prediction_latency_ms: u32,
}
impl Default for HandTrackingConfig {
    fn default() -> Self {
        Self {
            sample_rate: 60,
            enable_gesture_recognition: true,
            prediction_latency_ms: 10,
        }
    }
}
/// 模拟手部数据
#[derive(Debug, Clone)]
pub struct MockHandData {
    /// 关节点位置 (21 个关节)
    pub joints: Vec<[f32; 3]>,
    /// 置信度
    pub confidence: f32,
}
impl Default for MockHandData {
    fn default() -> Self {
        Self {
            joints: vec![[0.0, 0.0, 0.0]; 21],
            confidence: 1.0,
        }
    }
}
/// 手部姿态
#[derive(Debug, Clone)]
pub struct HandPose {
    /// 关节位置
    pub joints: Vec<[f32; 3]>,
    /// 置信度
    pub confidence: f32,
    /// 是否为左手
    pub is_left: bool,
    /// 当前手势
    pub gesture: Gesture,
}
impl HandPose {
    /// 创建模拟捏合姿态
    pub fn mock_pinch() -> Self {
        Self {
            joints: vec![[0.0, 0.0, 0.0]; 21],
            confidence: 0.95,
            is_left: false,
            gesture: Gesture::Pinch,
        }
    }
}
/// 手部追踪系统
pub struct HandTracking {
    /// 配置
    config: HandTrackingConfig,
    /// 当前姿态
    current_pose: Option<HandPose>,
}
impl HandTracking {
    /// 创建手部追踪系统
    pub fn new(config: HandTrackingConfig) -> Result<Self, HandTrackingError> {
        Ok(Self {
            config,
            current_pose: None,
        })
    }
    /// 手势识别是否启用
    pub fn gesture_recognition_enabled(&self) -> bool {
        self.config.enable_gesture_recognition
    }
    /// 处理帧数据
    pub fn process_frame(&mut self, data: &MockHandData) -> Result<HandPose, HandTrackingError> {
        let pose: _ = HandPose {
            joints: data.joints.clone(),
            confidence: data.confidence,
            is_left: false,
            gesture: Gesture::Unknown,
        };
        self.current_pose = Some(pose.clone());
        Ok(pose)
    }
    /// 同步处理帧数据
    pub fn process_frame_sync(&self, _data: &MockHandData) -> Result<HandPose, HandTrackingError> {
        Ok(HandPose {
            joints: vec![[0.0, 0.0, 0.0]; 21],
            confidence: 1.0,
            is_left: false,
            gesture: Gesture::Unknown,
        })
    }
    /// 识别手势
    pub fn recognize_gesture(&self, pose: &HandPose) -> Result<Gesture, HandTrackingError> {
        Ok(pose.gesture)
    }
    /// 获取当前姿态
    pub fn current_pose(&self) -> Option<&HandPose> {
        self.current_pose.as_ref()
    }
}
/// 手部追踪错误
#[derive(Debug, Clone)]
pub enum HandTrackingError {
    /// 初始化失败
    InitializationFailed(String),
    /// 追踪失败
    TrackingFailed(String),
    /// 设备未找到
    DeviceNotFound,
}
impl std::fmt::Display for HandTrackingError {
    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
        match self {
            Self::InitializationFailed(msg) => write!(f, "初始化失败: {}", msg),
            Self::TrackingFailed(msg) => write!(f, "追踪失败: {}", msg),
            Self::DeviceNotFound => write!(f, "设备未找到"),
        }
    }
}
impl std::error::Error for HandTrackingError {}