/**
 * 3D Face Mapper Module v1.0
 * Provides 3D face mapping, reconstruction and analysis capabilities for MorphGuard
 * Using Three.js, Tensorflow.js and WebAssembly for optimal performance
 */

class FaceMapper3D {
    constructor(options = {}) {
        // Configuration
        this.config = Object.assign({
            canvasId: '3d-face-canvas',
            wasmPath: '/static/wasm/',
            modelPath: '/static/models/face_landmark/',
            detectPoints: 478,  // Full face mesh landmark points
            scanQuality: 'standard', // rapid, standard, detailed
            enableWasm: true,
            enableDroneControl: true
        }, options);
        
        // State
        this.status = {
            initialized: false,
            modelLoaded: false,
            scanning: false,
            reconstructing: false,
            droneConnected: false,
            capturedImages: [],
            currentScanId: null,
            processingStage: 'idle', // idle, capture, sfm, reconstruction, analysis
            error: null
        };
        
        // Three.js objects
        this.scene = null;
        this.camera = null;
        this.renderer = null;
        this.controls = null;
        this.model = null;
        
        // Face mesh detection
        this.faceMeshModel = null;
        
        // WebAssembly module
        this.wasmModule = null;
        
        // Initialize
        this.init();
    }
    
    /**
     * Initialize the 3D face mapper
     */
    async init() {
        try {
            // Initialize Three.js scene
            this.initScene();
            
            // Load TensorFlow.js and face mesh model
            await this.loadFaceMeshModel();
            
            // Initialize WebAssembly module if enabled
            if (this.config.enableWasm) {
                await this.initWasmModule();
            }
            
            // Set up event listeners
            this.setupEventListeners();
            
            // Mark as initialized
            this.status.initialized = true;
            
            // Trigger initialized event
            this.triggerEvent('initialized');
        } catch (error) {
            console.error('Error initializing 3D Face Mapper:', error);
            this.status.error = error.message;
            this.triggerEvent('error', { error });
        }
    }
    
    /**
     * Initialize Three.js scene
     */
    initScene() {
        // Get canvas
        const canvas = document.getElementById(this.config.canvasId);
        if (!canvas) {
            throw new Error(`Canvas with ID ${this.config.canvasId} not found`);
        }
        
        // Create scene
        this.scene = new THREE.Scene();
        this.scene.background = new THREE.Color(0x111827);
        
        // Create camera
        this.camera = new THREE.PerspectiveCamera(
            75, 
            canvas.clientWidth / canvas.clientHeight, 
            0.1, 
            1000
        );
        this.camera.position.z = 2;
        
        // Create renderer
        this.renderer = new THREE.WebGLRenderer({ 
            canvas, 
            antialias: true,
            alpha: true 
        });
        this.renderer.setSize(canvas.clientWidth, canvas.clientHeight);
        this.renderer.setPixelRatio(window.devicePixelRatio);
        
        // Create orbit controls
        this.controls = new THREE.OrbitControls(this.camera, this.renderer.domElement);
        this.controls.enableDamping = true;
        this.controls.dampingFactor = 0.05;
        
        // Add lighting
        const ambientLight = new THREE.AmbientLight(0xffffff, 0.5);
        this.scene.add(ambientLight);
        
        const directionalLight = new THREE.DirectionalLight(0xffffff, 1);
        directionalLight.position.set(0, 1, 1);
        this.scene.add(directionalLight);
        
        // Add grid helper for reference
        const gridHelper = new THREE.GridHelper(10, 10, 0x444444, 0x222222);
        gridHelper.rotation.x = Math.PI / 2;
        this.scene.add(gridHelper);
        
        // Handle window resize
        window.addEventListener('resize', () => this.handleResize());
        
        // Start animation loop
        this.animate();
    }
    
    /**
     * Handle window resize
     */
    handleResize() {
        const canvas = this.renderer.domElement;
        const width = canvas.clientWidth;
        const height = canvas.clientHeight;
        
        if (this.camera && this.renderer) {
            this.camera.aspect = width / height;
            this.camera.updateProjectionMatrix();
            this.renderer.setSize(width, height, false);
        }
    }
    
    /**
     * Animation loop
     */
    animate() {
        requestAnimationFrame(() => this.animate());
        
        // Update controls
        if (this.controls) {
            this.controls.update();
        }
        
        // Render scene
        if (this.scene && this.camera) {
            this.renderer.render(this.scene, this.camera);
        }
    }
    
    /**
     * Load TensorFlow.js and face mesh model
     */
    async loadFaceMeshModel() {
        try {
            // Check if TensorFlow.js is loaded
            if (typeof tf === 'undefined') {
                await this.loadScript('https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@3.19.0/dist/tf.min.js');
            }
            
            // Check if face-landmarks-detection is loaded
            if (typeof faceLandmarksDetection === 'undefined') {
                await this.loadScript('https://cdn.jsdelivr.net/npm/@tensorflow-models/face-landmarks-detection@1.0.2/dist/face-landmarks-detection.min.js');
            }
            
            // Load face mesh model
            this.faceMeshModel = await faceLandmarksDetection.load(
                faceLandmarksDetection.SupportedPackages.mediapipeFacemesh,
                { maxFaces: 1 }
            );
            
            this.status.modelLoaded = true;
            this.triggerEvent('modelLoaded');
            
            return this.faceMeshModel;
        } catch (error) {
            console.error('Error loading face mesh model:', error);
            this.status.error = 'Failed to load face mesh model';
            this.triggerEvent('error', { error });
            throw error;
        }
    }
    
    /**
     * Initialize WebAssembly module
     */
    async initWasmModule() {
        try {
            // Load WebAssembly module
            const response = await fetch(`${this.config.wasmPath}/face_reconstruction.wasm`);
            const wasmBinary = await response.arrayBuffer();
            
            // Initialize module
            this.wasmModule = await WebAssembly.instantiate(wasmBinary, {
                env: {
                    memory: new WebAssembly.Memory({ initial: 256, maximum: 512 }),
                    abort: (_, __, ___, ____) => console.error('WASM abort called')
                },
                wasi_snapshot_preview1: {
                    proc_exit: () => {},
                    fd_close: () => {},
                    fd_write: () => {},
                    fd_seek: () => {},
                    fd_read: () => {}
                }
            });
            
            // Export functions
            this.wasmFunctions = {
                reconstructFace: this.wasmModule.instance.exports.reconstructFace,
                analyzeMorphing: this.wasmModule.instance.exports.analyzeMorphing,
                getMemoryBuffer: () => new Uint8Array(this.wasmModule.instance.exports.memory.buffer)
            };
            
            this.triggerEvent('wasmLoaded');
            return this.wasmModule;
        } catch (error) {
            console.error('Error initializing WebAssembly module:', error);
            // Fall back to JavaScript implementation
            this.config.enableWasm = false;
            this.triggerEvent('wasmFailed', { error });
        }
    }
    
    /**
     * Connect to drone
     */
    async connectDrone(deviceId) {
        if (!this.config.enableDroneControl) {
            throw new Error('Drone control is disabled');
        }
        
        try {
            // Simulate drone connection
            this.triggerEvent('droneConnecting');
            
            // In a real implementation, this would connect to the drone
            await new Promise(resolve => setTimeout(resolve, 2000));
            
            // Update drone status
            this.status.droneConnected = true;
            this.triggerEvent('droneConnected', { 
                battery: '92%',
                signal: 'Excellent',
                gps: '12 Satellites',
                camera: 'Ready'
            });
            
            return true;
        } catch (error) {
            console.error('Error connecting to drone:', error);
            this.status.error = 'Failed to connect to drone';
            this.triggerEvent('error', { error });
            return false;
        }
    }
    
    /**
     * Disconnect from drone
     */
    async disconnectDrone() {
        if (!this.status.droneConnected) {
            return false;
        }
        
        try {
            // Simulate drone disconnection
            this.triggerEvent('droneDisconnecting');
            
            // In a real implementation, this would disconnect from the drone
            await new Promise(resolve => setTimeout(resolve, 1000));
            
            // Update drone status
            this.status.droneConnected = false;
            this.triggerEvent('droneDisconnected');
            
            return true;
        } catch (error) {
            console.error('Error disconnecting from drone:', error);
            this.status.error = 'Failed to disconnect from drone';
            this.triggerEvent('error', { error });
            return false;
        }
    }
    
    /**
     * Start 3D scan using drone
     */
    async startDroneScan(options = {}) {
        if (!this.status.droneConnected) {
            throw new Error('Drone is not connected');
        }
        
        if (this.status.scanning) {
            throw new Error('Scan already in progress');
        }
        
        // Merge options with defaults
        const scanOptions = Object.assign({
            pattern: 'orbital', // orbital, hemispheric, spiral
            quality: this.config.scanQuality,
            subjectId: 'unknown'
        }, options);
        
        try {
            // Generate scan ID
            this.status.currentScanId = 'SCAN_' + Date.now().toString();
            
            // Update status
            this.status.scanning = true;
            this.status.capturedImages = [];
            this.status.processingStage = 'capture';
            
            // Clear previous data
            this.clearModel();
            
            // Trigger scan started event
            this.triggerEvent('scanStarted', { 
                scanId: this.status.currentScanId,
                options: scanOptions
            });
            
            // Determine number of images based on quality
            const imageCount = {
                'rapid': 15,
                'standard': 30,
                'detailed': 60
            }[scanOptions.quality] || 30;
            
            // Simulate drone capturing images
            for (let i = 0; i < imageCount; i++) {
                // Update progress
                const progress = (i + 1) / imageCount;
                this.triggerEvent('scanProgress', { 
                    progress,
                    currentImage: i + 1,
                    totalImages: imageCount,
                    stage: 'capture'
                });
                
                // Simulate image capture
                await new Promise(resolve => setTimeout(resolve, 500));
                
                // Add simulated image (in real implementation, this would be actual images)
                this.status.capturedImages.push({
                    id: `img_${i}`,
                    position: this.simulateCameraPosition(i, imageCount, scanOptions.pattern),
                    // In a real implementation, this would be actual image data
                    imageData: `simulated_image_${i}.jpg`
                });
            }
            
            // Start reconstruction process
            await this.reconstructFaceModel();
            
            // Mark scan as completed
            this.status.scanning = false;
            this.status.processingStage = 'completed';
            
            // Trigger scan completed event
            this.triggerEvent('scanCompleted', {
                scanId: this.status.currentScanId,
                imageCount,
                reconstructionSuccess: true
            });
            
            return {
                scanId: this.status.currentScanId,
                imageCount,
                subjectId: scanOptions.subjectId,
                timestamp: new Date().toISOString(),
                success: true
            };
        } catch (error) {
            console.error('Error scanning with drone:', error);
            
            // Update status
            this.status.scanning = false;
            this.status.error = error.message;
            this.status.processingStage = 'error';
            
            // Trigger error event
            this.triggerEvent('error', { error });
            
            return {
                success: false,
                error: error.message
            };
        }
    }
    
    /**
     * Cancel current scan
     */
    cancelScan() {
        if (!this.status.scanning) {
            return false;
        }
        
        // Update status
        this.status.scanning = false;
        this.status.processingStage = 'cancelled';
        
        // Trigger cancel event
        this.triggerEvent('scanCancelled', {
            scanId: this.status.currentScanId
        });
        
        return true;
    }
    
    /**
     * Simulate camera position for different scan patterns
     */
    simulateCameraPosition(index, total, pattern) {
        const progress = index / (total - 1);
        
        switch (pattern) {
            case 'orbital':
                // Horizontal circle around subject
                const angle = progress * Math.PI * 2;
                return {
                    x: Math.sin(angle) * 2,
                    y: 0.2,  // Slightly above eye level
                    z: Math.cos(angle) * 2
                };
                
            case 'hemispheric':
                // Hemisphere above subject
                const azimuth = progress * Math.PI * 2;
                const elevation = (0.2 + progress * 0.6) * Math.PI / 2;
                return {
                    x: 2 * Math.sin(azimuth) * Math.cos(elevation),
                    y: 2 * Math.sin(elevation),
                    z: 2 * Math.cos(azimuth) * Math.cos(elevation)
                };
                
            case 'spiral':
                // Spiral pattern for complete coverage
                const spiralAngle = progress * Math.PI * 6;
                const spiralHeight = Math.sin(progress * Math.PI) * 1.5;
                const radius = 1.5 + Math.sin(progress * Math.PI * 2) * 0.5;
                return {
                    x: Math.sin(spiralAngle) * radius,
                    y: spiralHeight,
                    z: Math.cos(spiralAngle) * radius
                };
                
            default:
                return { x: 0, y: 0, z: 2 };
        }
    }
    
    /**
     * Reconstruct 3D face model from captured images
     */
    async reconstructFaceModel() {
        if (this.status.capturedImages.length === 0) {
            throw new Error('No images captured');
        }
        
        try {
            // Update status
            this.status.reconstructing = true;
            this.status.processingStage = 'sfm';
            
            // Trigger reconstruction started event
            this.triggerEvent('reconstructionStarted', {
                scanId: this.status.currentScanId,
                imageCount: this.status.capturedImages.length
            });
            
            // Structure from Motion stage
            this.triggerEvent('reconstructionProgress', {
                stage: 'sfm',
                progress: 0.0,
                message: 'Extracting features...'
            });
            
            // Simulate feature extraction
            await new Promise(resolve => setTimeout(resolve, 3000));
            
            this.triggerEvent('reconstructionProgress', {
                stage: 'sfm',
                progress: 0.5,
                message: 'Matching features...'
            });
            
            // Simulate feature matching
            await new Promise(resolve => setTimeout(resolve, 2000));
            
            // Simulate sparse reconstruction
            this.triggerEvent('reconstructionProgress', {
                stage: 'reconstruction',
                progress: 0.0,
                message: 'Building sparse point cloud...'
            });
            
            await new Promise(resolve => setTimeout(resolve, 3000));
            
            // Simulate dense reconstruction
            this.triggerEvent('reconstructionProgress', {
                stage: 'reconstruction',
                progress: 0.5,
                message: 'Building dense model...'
            });
            
            await new Promise(resolve => setTimeout(resolve, 5000));
            
            // Create actual 3D model
            await this.createFaceModel();
            
            // Analyze the reconstructed model
            this.triggerEvent('reconstructionProgress', {
                stage: 'analysis',
                progress: 0.0,
                message: 'Analyzing model for morphing...'
            });
            
            // Perform morphing analysis
            const analysisResult = await this.analyzeMorphing();
            
            // Update status
            this.status.reconstructing = false;
            this.status.processingStage = 'completed';
            
            // Trigger reconstruction completed event
            this.triggerEvent('reconstructionCompleted', {
                scanId: this.status.currentScanId,
                analysisResult
            });
            
            return analysisResult;
        } catch (error) {
            console.error('Error reconstructing face model:', error);
            
            // Update status
            this.status.reconstructing = false;
            this.status.error = error.message;
            this.status.processingStage = 'error';
            
            // Trigger error event
            this.triggerEvent('error', { error });
            
            throw error;
        }
    }
    
    /**
     * Create 3D face model
     */
    async createFaceModel() {
        // Clear any existing model
        this.clearModel();
        
        // Create new model (in a real implementation, this would use actual reconstruction data)
        // For demo purposes, create a simple face mesh
        return new Promise(resolve => {
            // Create geometry (simplified face shape)
            const geometry = new THREE.SphereGeometry(1, 32, 32);
            
            // Create material with face texture
            const material = new THREE.MeshStandardMaterial({
                color: 0xf5f5f5,
                roughness: 0.7,
                metalness: 0.1,
                wireframe: false
            });
            
            // Create mesh
            this.model = new THREE.Mesh(geometry, material);
            this.scene.add(this.model);
            
            // Move camera to front view
            this.camera.position.set(0, 0, 3);
            this.controls.update();
            
            // Resolve after brief delay
            setTimeout(resolve, 500);
        });
    }
    
    /**
     * Analyze the 3D model for morphing artifacts
     */
    async analyzeMorphing() {
        // Check if model exists
        if (!this.model) {
            throw new Error('No model to analyze');
        }
        
        try {
            // If WebAssembly is enabled, use that for analysis
            if (this.config.enableWasm && this.wasmModule) {
                return this.analyzeWithWasm();
            } else {
                return this.analyzeWithJS();
            }
        } catch (error) {
            console.error('Error analyzing morphing:', error);
            throw error;
        }
    }
    
    /**
     * Analyze morphing using WebAssembly
     */
    analyzeWithWasm() {
        // In a real implementation, this would:
        // 1. Extract model data
        // 2. Pass to WebAssembly module
        // 3. Get analysis results
        
        // Simulate analysis with random result
        const isMorphed = Math.random() > 0.5;
        const confidence = isMorphed ? 
            0.7 + (Math.random() * 0.3) : // Higher confidence for morphed (70-100%)
            0.8 + (Math.random() * 0.2);  // Very high confidence for authentic (80-100%)
        
        return {
            isMorphed,
            confidence,
            regions: this.generateRegions(isMorphed),
            metrics: {
                asymmetry: isMorphed ? Math.random() * 0.5 + 0.5 : Math.random() * 0.3,
                textureConsistency: isMorphed ? Math.random() * 0.5 : Math.random() * 0.5 + 0.5,
                depthCoherence: isMorphed ? Math.random() * 0.4 : Math.random() * 0.3 + 0.7,
                featureAlignment: isMorphed ? Math.random() * 0.6 : Math.random() * 0.2 + 0.8
            }
        };
    }
    
    /**
     * Analyze morphing using JavaScript (fallback)
     */
    analyzeWithJS() {
        // Same as WebAssembly but pure JS implementation
        // Simulate analysis with random result
        const isMorphed = Math.random() > 0.5;
        const confidence = isMorphed ? 
            0.7 + (Math.random() * 0.25) : // Slightly lower confidence (70-95%)
            0.8 + (Math.random() * 0.15);  // Still high confidence (80-95%)
        
        return {
            isMorphed,
            confidence,
            regions: this.generateRegions(isMorphed),
            metrics: {
                asymmetry: isMorphed ? Math.random() * 0.5 + 0.5 : Math.random() * 0.3,
                textureConsistency: isMorphed ? Math.random() * 0.5 : Math.random() * 0.5 + 0.5,
                depthCoherence: isMorphed ? Math.random() * 0.4 : Math.random() * 0.3 + 0.7,
                featureAlignment: isMorphed ? Math.random() * 0.6 : Math.random() * 0.2 + 0.8
            }
        };
    }
    
    /**
     * Generate regions data
     */
    generateRegions(isMorphed) {
        if (!isMorphed) {
            return [{
                name: 'Overall Assessment',
                confidence: Math.random() * 0.1,
                description: 'No suspicious regions detected. All facial features show normal 3D structure and texture consistency.'
            }];
        }
        
        // Generate suspicious regions for morphed face
        return [
            {
                name: 'Left Eye Region',
                confidence: 0.8 + Math.random() * 0.2,
                description: 'Abnormal depth transitions and texture inconsistencies around the eye socket.'
            },
            {
                name: 'Mouth Area',
                confidence: 0.7 + Math.random() * 0.2,
                description: 'Blending artifacts detected in lip contour and surrounding areas.'
            },
            {
                name: 'Nose Bridge',
                confidence: 0.6 + Math.random() * 0.3,
                description: 'Structural anomalies in the bridge and sides of the nose.'
            }
        ];
    }
    
    /**
     * Clear the current 3D model
     */
    clearModel() {
        if (this.model) {
            this.scene.remove(this.model);
            this.model = null;
        }
    }
    
    /**
     * Load model from stored scan
     */
    async loadSavedModel(scanId) {
        try {
            // Clear current model
            this.clearModel();
            
            // Update status
            this.status.processingStage = 'loading';
            
            // Trigger loading event
            this.triggerEvent('modelLoading', { scanId });
            
            // Simulate loading model from server
            await new Promise(resolve => setTimeout(resolve, 2000));
            
            // Create face model (in a real implementation, this would load actual model data)
            await this.createFaceModel();
            
            // Set current scan ID
            this.status.currentScanId = scanId;
            
            // Generate analysis data
            const analysisResult = await this.analyzeMorphing();
            
            // Update status
            this.status.processingStage = 'loaded';
            
            // Trigger loaded event
            this.triggerEvent('modelLoaded', { 
                scanId,
                analysisResult
            });
            
            return analysisResult;
        } catch (error) {
            console.error('Error loading saved model:', error);
            
            // Update status
            this.status.error = error.message;
            this.status.processingStage = 'error';
            
            // Trigger error event
            this.triggerEvent('error', { error });
            
            throw error;
        }
    }
    
    /**
     * Change visualization mode
     */
    setVisualizationMode(mode, options = {}) {
        if (!this.model) {
            throw new Error('No model loaded');
        }
        
        switch (mode) {
            case 'standard':
                this.model.material.wireframe = false;
                this.model.material.color.set(0xf5f5f5);
                break;
                
            case 'confidence':
                // Apply confidence heatmap visualization
                this.createHeatmapVisualization(options.threshold || 0.5);
                break;
                
            case 'wireframe':
                this.model.material.wireframe = true;
                this.model.material.color.set(0x3b82f6);
                break;
                
            case 'points':
                // Convert mesh to point cloud
                this.convertToPointCloud();
                break;
                
            default:
                throw new Error(`Unknown visualization mode: ${mode}`);
        }
        
        // Trigger visualization change event
        this.triggerEvent('visualizationChanged', { mode, options });
        
        return true;
    }
    
    /**
     * Create heatmap visualization for morphing confidence
     */
    createHeatmapVisualization(threshold) {
        if (!this.model) return;
        
        // Create gradient material
        const material = new THREE.MeshStandardMaterial({
            vertexColors: true,
            roughness: 0.7,
            metalness: 0.2
        });
        
        // Get geometry
        const geometry = this.model.geometry.clone();
        
        // Create colors array
        const colors = [];
        const positions = geometry.attributes.position.array;
        
        // For each vertex, assign color based on position
        for (let i = 0; i < positions.length; i += 3) {
            const x = positions[i];
            const y = positions[i + 1];
            const z = positions[i + 2];
            
            // Generate a confidence value based on position
            // In a real implementation, this would use actual confidence values
            const distance = Math.sqrt(x * x + y * y + z * z);
            const normalizedDistance = Math.min(1, distance / 1.2);
            
            // Calculate confidence (higher values for points further from center)
            let confidence = Math.abs(normalizedDistance - 0.5) * 2;
            
            // Apply threshold
            confidence = confidence < threshold ? 0 : confidence;
            
            // Create color (green to yellow to red)
            if (confidence < 0.3) {
                // Green (low confidence)
                colors.push(0.0, 1.0, 0.0);
            } else if (confidence < 0.7) {
                // Yellow (medium confidence)
                colors.push(1.0, 1.0, 0.0);
            } else {
                // Red (high confidence)
                colors.push(1.0, 0.0, 0.0);
            }
        }
        
        // Add colors to geometry
        geometry.setAttribute('color', new THREE.Float32BufferAttribute(colors, 3));
        
        // Create new mesh with colored material
        this.scene.remove(this.model);
        this.model = new THREE.Mesh(geometry, material);
        this.scene.add(this.model);
    }
    
    /**
     * Convert mesh to point cloud
     */
    convertToPointCloud() {
        if (!this.model) return;
        
        // Get geometry
        const geometry = this.model.geometry.clone();
        
        // Create point cloud material
        const material = new THREE.PointsMaterial({
            color: 0x3b82f6,
            size: 0.01,
            sizeAttenuation: true
        });
        
        // Create point cloud
        this.scene.remove(this.model);
        this.model = new THREE.Points(geometry, material);
        this.scene.add(this.model);
    }
    
    /**
     * Reset camera view
     */
    resetView() {
        this.camera.position.set(0, 0, 3);
        this.camera.lookAt(0, 0, 0);
        this.controls.reset();
    }
    
    /**
     * Rotate view to preset position
     */
    rotateView(position) {
        switch (position) {
            case 'front':
                this.camera.position.set(0, 0, 3);
                break;
                
            case 'side':
                this.camera.position.set(3, 0, 0);
                break;
                
            case 'top':
                this.camera.position.set(0, 3, 0);
                break;
                
            default:
                return;
        }
        
        this.camera.lookAt(0, 0, 0);
        this.controls.update();
    }
    
    /**
     * Export 3D model as OBJ
     */
    exportModel(format = 'obj') {
        if (!this.model) {
            throw new Error('No model to export');
        }
        
        try {
            let result;
            
            switch (format.toLowerCase()) {
                case 'obj':
                    // In real implementation, this would use OBJExporter
                    result = 'Simulated OBJ export data';
                    break;
                    
                case 'stl':
                    // In real implementation, this would use STLExporter
                    result = 'Simulated STL export data';
                    break;
                    
                case 'ply':
                    // In real implementation, this would use PLYExporter
                    result = 'Simulated PLY export data';
                    break;
                    
                default:
                    throw new Error(`Unsupported export format: ${format}`);
            }
            
            // In real implementation, this would return a Blob
            return new Blob([result], { type: 'application/octet-stream' });
        } catch (error) {
            console.error('Error exporting model:', error);
            throw error;
        }
    }
    
    /**
     * Load external script
     */
    loadScript(src) {
        return new Promise((resolve, reject) => {
            const script = document.createElement('script');
            script.src = src;
            script.onload = resolve;
            script.onerror = reject;
            document.head.appendChild(script);
        });
    }
    
    /**
     * Set up event listeners
     */
    setupEventListeners() {
        // In a real implementation, this would set up various event listeners
    }
    
    /**
     * Trigger custom event
     */
    triggerEvent(eventName, data = {}) {
        // Create and dispatch custom event
        const event = new CustomEvent(`facemapper:${eventName}`, { 
            detail: { ...data, source: this }
        });
        document.dispatchEvent(event);
        
        // Call callback if defined
        const callbackName = `on${eventName.charAt(0).toUpperCase() + eventName.slice(1)}`;
        if (typeof this.config[callbackName] === 'function') {
            this.config[callbackName](data);
        }
    }
}

// Export for use in main script
window.FaceMapper3D = FaceMapper3D;