mecha10-core 0.6.5

use serde::{Deserialize, Serialize};

/// Object detection result
///
/// Represents a detected object with bounding box and classification
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Detection {
    /// Timestamp in microseconds since epoch
    pub timestamp: u64,

    /// Class ID
    pub class_id: u32,

    /// Class name (e.g., "person", "cup", "table")
    pub class_name: String,

    /// Confidence score (0.0 to 1.0)
    pub confidence: f32,

    /// Bounding box in image coordinates
    pub bbox: BoundingBox,

    /// Optional tracking ID (for multi-object tracking)
    #[serde(skip_serializing_if = "Option::is_none")]
    pub track_id: Option<u32>,

    /// Optional 3D position (if depth available)
    #[serde(skip_serializing_if = "Option::is_none")]
    pub position_3d: Option<[f32; 3]>,
}

/// 2D Bounding box
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BoundingBox {
    /// X coordinate of top-left corner
    pub x: f32,

    /// Y coordinate of top-left corner
    pub y: f32,

    /// Width of the box
    pub width: f32,

    /// Height of the box
    pub height: f32,
}

crate::impl_bounding_box!(BoundingBox, extras);

/// 3D Pose (position + orientation)
///
/// Represents a 6-DOF pose in 3D space
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Pose {
    /// Timestamp in microseconds since epoch
    pub timestamp: u64,

    /// Position (x, y, z) in meters
    pub position: [f32; 3],

    /// Orientation as quaternion (x, y, z, w)
    pub orientation: [f32; 4],

    /// Optional frame ID
    #[serde(skip_serializing_if = "Option::is_none")]
    pub frame_id: Option<String>,

    /// Optional covariance matrix (6x6, row-major) - stored as Vec for serde compatibility
    #[serde(skip_serializing_if = "Option::is_none")]
    pub covariance: Option<Vec<f32>>,
}

impl Detection {
    /// Creates a new detection
    pub fn new(class_id: u32, class_name: String, confidence: f32, bbox: BoundingBox) -> Self {
        Self {
            timestamp: crate::prelude::now_micros(),
            class_id,
            class_name,
            confidence,
            bbox,
            track_id: None,
            position_3d: None,
        }
    }

    /// Checks if confidence is above a threshold
    pub fn is_confident(&self, threshold: f32) -> bool {
        self.confidence >= threshold
    }

    /// Returns the center of the bounding box
    pub fn center(&self) -> (f32, f32) {
        self.bbox.center()
    }

    /// Returns the area of the bounding box
    pub fn area(&self) -> f32 {
        self.bbox.area()
    }
}

impl Pose {
    /// Create a new pose at origin with identity orientation
    pub fn identity() -> Self {
        Self {
            timestamp: crate::prelude::now_micros(),
            position: [0.0, 0.0, 0.0],
            orientation: [0.0, 0.0, 0.0, 1.0],
            frame_id: None,
            covariance: None,
        }
    }

    /// Create a new 2D pose (x, y, yaw)
    pub fn new_2d(x: f32, y: f32, yaw: f32) -> Self {
        let half_yaw = yaw / 2.0;
        let qz = half_yaw.sin();
        let qw = half_yaw.cos();

        Self {
            timestamp: crate::prelude::now_micros(),
            position: [x, y, 0.0],
            orientation: [0.0, 0.0, qz, qw],
            frame_id: None,
            covariance: None,
        }
    }

    /// Calculates distance to another pose in 3D space
    pub fn distance_to(&self, other: &Pose) -> f32 {
        super::geometry3::distance_3d(self.position, other.position)
    }

    /// Calculates 2D distance to another pose
    pub fn distance_2d_to(&self, other: &Pose) -> f32 {
        super::geometry3::distance_2d(self.position, other.position)
    }

    /// Normalizes the orientation quaternion
    pub fn normalize_orientation(&mut self) {
        super::geometry3::normalize_quaternion(&mut self.orientation);
    }
}

impl Default for Pose {
    fn default() -> Self {
        Self::identity()
    }
}

impl TrackingResult {
    /// Creates a new tracking result
    pub fn new(track_id: u32, detection: Detection) -> Self {
        Self {
            timestamp: crate::prelude::now_micros(),
            track_id,
            detection,
            velocity_2d: None,
            age: 0,
            time_since_update: 0,
            confidence: 1.0,
        }
    }

    /// Checks if the track is active (recently updated)
    pub fn is_active(&self) -> bool {
        self.time_since_update == 0
    }

    /// Returns the speed if velocity is available
    pub fn speed(&self) -> Option<f32> {
        self.velocity_2d.map(|v| (v[0] * v[0] + v[1] * v[1]).sqrt())
    }

    /// Checks if confidence is above a threshold
    pub fn is_confident(&self, threshold: f32) -> bool {
        self.confidence >= threshold
    }
}

/// Tracking result for a single object
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TrackingResult {
    /// Timestamp in microseconds since epoch
    pub timestamp: u64,

    /// Unique tracking ID
    pub track_id: u32,

    /// Current detection
    pub detection: Detection,

    /// Estimated velocity (x, y) in pixels/second (optional)
    #[serde(skip_serializing_if = "Option::is_none")]
    pub velocity_2d: Option<[f32; 2]>,

    /// Number of frames this object has been tracked
    pub age: u32,

    /// Number of consecutive frames without detection
    pub time_since_update: u32,

    /// Tracking confidence (0.0 to 1.0)
    pub confidence: f32,
}