voirs-spatial 0.1.0-rc.1

//! ARKit Platform Integration
//!
//! This module provides integration with Apple's ARKit framework for iOS devices,
//! enabling AR head tracking, world tracking, and plane detection.

use crate::platforms::{
    DeviceInfo, EyeTrackingData, HandTrackingData, PlatformCapabilities, PlatformIntegration,
    PlatformTrackingData, PoseData, TrackingConfig, TrackingQuality, TrackingState,
};
use crate::position::{PlatformData, PlatformType};
use crate::types::Position3D;
use crate::{Error, Result};
use async_trait::async_trait;
use std::collections::HashMap;
use tokio::time::Instant;

/// ARKit platform integration for iOS devices
pub struct ARKitPlatform {
    device_info: DeviceInfo,
    capabilities: PlatformCapabilities,
    tracking_active: bool,
    config: TrackingConfig,

    // ARKit-specific state
    world_tracking_enabled: bool,
    plane_detection_enabled: bool,
    face_tracking_enabled: bool,

    // iOS device detection
    device_model: IOSDeviceModel,
    last_update: Option<Instant>,
}

/// iOS device models with different AR capabilities
#[derive(Debug, Clone, Copy, PartialEq)]
pub enum IOSDeviceModel {
    /// iPhone models with A12+ bionic chips (good AR performance)
    IPhoneModern,
    /// iPhone models with A11 chips (basic AR)
    IPhoneBasic,
    /// iPad Pro models (excellent AR with LiDAR)
    IPadPro,
    /// iPad models (good AR performance)
    IPad,
    /// Unknown or unsupported device
    Unknown,
}

impl ARKitPlatform {
    /// Create new ARKit platform integration
    pub fn new() -> Self {
        Self {
            device_info: DeviceInfo {
                name: "ARKit Device".to_string(),
                manufacturer: "Apple".to_string(),
                model: "iPhone/iPad".to_string(),
                serial_number: "Unknown".to_string(),
                firmware_version: "Unknown".to_string(),
                platform_version: "Unknown".to_string(),
            },
            capabilities: PlatformCapabilities {
                head_tracking_6dof: true,
                hand_tracking: false, // ARKit doesn't natively support hand tracking
                eye_tracking: false,  // Limited to face tracking
                controller_tracking: false,
                room_scale: true,  // World tracking provides room scale
                passthrough: true, // AR by nature
                refresh_rates: vec![60.0, 120.0], // iOS display refresh rates
                tracking_range: 50.0, // Large AR range
            },
            tracking_active: false,
            config: TrackingConfig::default(),
            world_tracking_enabled: false,
            plane_detection_enabled: false,
            face_tracking_enabled: false,
            device_model: IOSDeviceModel::Unknown,
            last_update: None,
        }
    }

    /// Initialize ARKit session
    async fn init_arkit_session(&mut self) -> Result<()> {
        #[cfg(target_os = "ios")]
        {
            self.detect_device_capabilities().await?;
            self.setup_tracking_configuration().await?;
            self.last_update = Some(Instant::now());
            tracing::info!("ARKit session initialized successfully");
        }

        #[cfg(not(target_os = "ios"))]
        {
            tracing::warn!("ARKit is only available on iOS devices");
            Err(Error::LegacyConfig(
                "ARKit not available on this platform".to_string(),
            ))
        }
    }

    /// Detect iOS device capabilities
    async fn detect_device_capabilities(&mut self) -> Result<()> {
        // In a real implementation, this would use iOS APIs to detect device model
        // For simulation, we'll use a simplified approach

        self.device_model = self.detect_device_model().await;

        match self.device_model {
            IOSDeviceModel::IPadPro => {
                self.device_info.model = "iPad Pro".to_string();
                self.capabilities.tracking_range = 100.0; // LiDAR extends range
                self.capabilities.refresh_rates = vec![60.0, 120.0];
                self.device_info.platform_version = "ARKit 5.0+".to_string();
            }
            IOSDeviceModel::IPhoneModern => {
                self.device_info.model = "iPhone 12+".to_string();
                self.capabilities.tracking_range = 50.0;
                self.capabilities.refresh_rates = vec![60.0, 120.0];
                self.device_info.platform_version = "ARKit 4.0+".to_string();
            }
            IOSDeviceModel::IPhoneBasic => {
                self.device_info.model = "iPhone X/XS/XR".to_string();
                self.capabilities.tracking_range = 30.0;
                self.capabilities.refresh_rates = vec![60.0];
                self.device_info.platform_version = "ARKit 3.0+".to_string();
            }
            IOSDeviceModel::IPad => {
                self.device_info.model = "iPad".to_string();
                self.capabilities.tracking_range = 40.0;
                self.capabilities.refresh_rates = vec![60.0];
                self.device_info.platform_version = "ARKit 3.0+".to_string();
            }
            IOSDeviceModel::Unknown => {
                return Err(Error::LegacyConfig(
                    "Unsupported iOS device for ARKit".to_string(),
                ));
            }
        }

        tracing::info!(
            "Detected iOS device: {} with ARKit capabilities",
            self.device_info.model
        );
        Ok(())
    }

    /// Detect the iOS device model (simulated)
    async fn detect_device_model(&self) -> IOSDeviceModel {
        #[cfg(target_os = "ios")]
        {
            // In a real implementation, this would use:
            // - UIDevice.current.model
            // - sysctlbyname to get hardware model
            // - ARConfiguration.isSupported checks

            // For simulation, randomly assign a device type
            use scirs2_core::random::Rng;
            let mut rng = scirs2_core::random::thread_rng();
            match rng.random_range(0..5) {
                0 => IOSDeviceModel::IPadPro,
                1 => IOSDeviceModel::IPhoneModern,
                2 => IOSDeviceModel::IPhoneBasic,
                3 => IOSDeviceModel::IPad,
                _ => IOSDeviceModel::Unknown,
            }
        }

        #[cfg(not(target_os = "ios"))]
        {
            IOSDeviceModel::Unknown
        }
    }

    /// Setup ARKit tracking configuration
    async fn setup_tracking_configuration(&mut self) -> Result<()> {
        // In a real implementation, this would:
        // 1. Create ARWorldTrackingConfiguration
        // 2. Set up plane detection
        // 3. Configure environmental texturing
        // 4. Enable features based on device capabilities

        self.world_tracking_enabled = true;
        self.plane_detection_enabled = true;

        // Enable face tracking on devices that support it
        if matches!(
            self.device_model,
            IOSDeviceModel::IPhoneModern | IOSDeviceModel::IPadPro
        ) {
            self.face_tracking_enabled = true;
        }

        tracing::info!("ARKit tracking configuration set up");
        Ok(())
    }

    /// Get simulated ARKit tracking data
    fn get_simulated_tracking(&self) -> PlatformTrackingData {
        let now = Instant::now();

        // Simulate device movement in AR space
        let time = now.elapsed().as_secs_f32();

        // AR devices typically start at origin and move around
        let position = Position3D::new(
            (time * 0.02).sin() * 2.0, // Slower, larger movements
            1.6,                       // Phone/tablet height
            (time * 0.03).cos() * 1.5, // Forward/back movement
        );

        // Simulate natural head/device orientation changes
        let yaw = (time * 0.01).sin() * 0.3; // Natural head turning
        let pitch = (time * 0.015).cos() * 0.1; // Natural head nodding

        // Convert to quaternion
        let half_yaw = yaw * 0.5;
        let half_pitch = pitch * 0.5;
        let cos_yaw = half_yaw.cos();
        let sin_yaw = half_yaw.sin();
        let cos_pitch = half_pitch.cos();
        let sin_pitch = half_pitch.sin();

        let orientation = (
            sin_pitch * cos_yaw,
            cos_pitch * sin_yaw,
            -sin_pitch * sin_yaw,
            cos_pitch * cos_yaw,
        );

        let head_pose = PoseData {
            position,
            orientation,
            linear_velocity: Position3D::new(0.0, 0.0, 0.0),
            angular_velocity: Position3D::new(0.0, yaw * 0.1, pitch * 0.1),
            confidence: 0.88, // Slightly lower than VR due to visual tracking
        };

        // Calculate tracking quality based on simulated conditions
        let base_quality = match self.device_model {
            IOSDeviceModel::IPadPro => 0.95,      // Best with LiDAR
            IOSDeviceModel::IPhoneModern => 0.90, // Very good
            IOSDeviceModel::IPad => 0.85,         // Good
            IOSDeviceModel::IPhoneBasic => 0.80,  // Acceptable
            IOSDeviceModel::Unknown => 0.60,      // Poor
        };

        // Simulate environmental factors affecting tracking
        let environmental_factor = (time * 0.1).sin() * 0.1 + 0.9; // 0.8 to 1.0
        let final_quality = base_quality * environmental_factor;

        PlatformTrackingData {
            head_pose,
            left_controller: None, // ARKit doesn't use controllers
            right_controller: None,
            quality: TrackingQuality {
                overall_quality: final_quality,
                position_quality: final_quality * 0.95,
                orientation_quality: final_quality * 1.05,
                feature_count: match self.device_model {
                    IOSDeviceModel::IPadPro => 300, // LiDAR provides many features
                    IOSDeviceModel::IPhoneModern => 200,
                    IOSDeviceModel::IPad => 150,
                    IOSDeviceModel::IPhoneBasic => 100,
                    IOSDeviceModel::Unknown => 50,
                },
                state: if final_quality > 0.8 {
                    TrackingState::Full
                } else if final_quality > 0.5 {
                    TrackingState::Limited
                } else {
                    TrackingState::Lost
                },
            },
            timestamp: now,
            raw_data: PlatformData {
                device_id: "ARKit".to_string(),
                pose_data: vec![],
                tracking_confidence: final_quality,
                platform_timestamp: 0,
                properties: {
                    let mut props = HashMap::new();
                    props.insert(
                        "world_tracking".to_string(),
                        self.world_tracking_enabled.to_string(),
                    );
                    props.insert(
                        "plane_detection".to_string(),
                        self.plane_detection_enabled.to_string(),
                    );
                    props.insert(
                        "device_model".to_string(),
                        format!("{:?}", self.device_model),
                    );
                    props
                },
            },
        }
    }
}

#[async_trait]
impl PlatformIntegration for ARKitPlatform {
    async fn initialize(&mut self) -> Result<()> {
        self.init_arkit_session().await
    }

    async fn get_tracking_data(&self) -> Result<PlatformTrackingData> {
        if !self.tracking_active {
            return Err(Error::LegacyProcessing("Tracking not active".to_string()));
        }

        Ok(self.get_simulated_tracking())
    }

    async fn is_available(&self) -> bool {
        #[cfg(target_os = "ios")]
        {
            self.last_update.is_some() && !matches!(self.device_model, IOSDeviceModel::Unknown)
        }

        #[cfg(not(target_os = "ios"))]
        {
            false
        }
    }

    fn get_capabilities(&self) -> PlatformCapabilities {
        self.capabilities.clone()
    }

    async fn configure_tracking(&mut self, config: TrackingConfig) -> Result<()> {
        self.config = config;
        tracing::info!("Configured ARKit tracking with config: {:?}", self.config);
        Ok(())
    }

    fn get_device_info(&self) -> DeviceInfo {
        self.device_info.clone()
    }

    async fn start_tracking(&mut self) -> Result<()> {
        if self.last_update.is_none() {
            return Err(Error::LegacyProcessing("ARKit not initialized".to_string()));
        }

        self.tracking_active = true;
        self.last_update = Some(Instant::now());
        tracing::info!("Started ARKit tracking");
        Ok(())
    }

    async fn stop_tracking(&mut self) -> Result<()> {
        self.tracking_active = false;
        tracing::info!("Stopped ARKit tracking");
        Ok(())
    }

    async fn get_hand_tracking(&self) -> Result<Option<HandTrackingData>> {
        // ARKit doesn't natively support hand tracking
        // Would need third-party solutions or iOS 14+ hand pose estimation
        Ok(None)
    }

    async fn get_eye_tracking(&self) -> Result<Option<EyeTrackingData>> {
        // ARKit supports basic eye tracking through face tracking
        // but not full eye tracking like dedicated VR headsets
        Ok(None)
    }
}

impl Default for ARKitPlatform {
    fn default() -> Self {
        Self::new()
    }
}

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

    #[tokio::test]
    async fn test_arkit_platform_creation() {
        let platform = ARKitPlatform::new();
        assert!(!platform.tracking_active);
        assert_eq!(platform.device_info.manufacturer, "Apple");
        assert_eq!(platform.device_model, IOSDeviceModel::Unknown);
    }

    #[tokio::test]
    async fn test_arkit_capabilities() {
        let platform = ARKitPlatform::new();
        let capabilities = platform.get_capabilities();

        assert!(capabilities.head_tracking_6dof);
        assert!(capabilities.room_scale);
        assert!(capabilities.passthrough); // AR by nature
        assert!(!capabilities.controller_tracking); // No controllers in ARKit
        assert!(!capabilities.hand_tracking); // Not natively supported
    }

    #[cfg(target_os = "ios")]
    #[tokio::test]
    async fn test_arkit_initialization_ios() {
        let mut platform = ARKitPlatform::new();
        let result = platform.initialize().await;
        // Should succeed on iOS
        assert!(result.is_ok());
        assert_ne!(platform.device_model, IOSDeviceModel::Unknown);
    }

    #[cfg(not(target_os = "ios"))]
    #[tokio::test]
    async fn test_arkit_initialization_non_ios() {
        let mut platform = ARKitPlatform::new();
        let result = platform.initialize().await;
        // Should fail on non-iOS platforms
        assert!(result.is_err());
        assert!(!platform.is_available().await);
    }

    #[tokio::test]
    async fn test_device_model_capabilities() {
        let mut platform = ARKitPlatform::new();

        // Test different device models
        platform.device_model = IOSDeviceModel::IPadPro;
        if platform.detect_device_capabilities().await.is_ok() {
            assert!(platform.capabilities.tracking_range >= 50.0); // LiDAR extends range
        }

        platform.device_model = IOSDeviceModel::IPhoneBasic;
        if platform.detect_device_capabilities().await.is_ok() {
            assert!(platform.capabilities.tracking_range <= 50.0); // Limited range
        }
    }

    #[tokio::test]
    async fn test_tracking_quality_simulation() {
        let mut platform = ARKitPlatform::new();
        platform.device_model = IOSDeviceModel::IPhoneModern;
        platform.tracking_active = true;
        platform.last_update = Some(Instant::now());

        let tracking_data = platform.get_simulated_tracking();

        // Check that quality is reasonable for modern iPhone
        assert!(tracking_data.quality.overall_quality > 0.7);
        assert!(tracking_data.quality.feature_count > 100);
        assert_eq!(tracking_data.quality.state, TrackingState::Full);
    }
}