flyingff2083/parallel_self

1/**2 * Emotion Detection Client3 * Integrates with your existing emotion.py (DeepFace + OpenCV)4 * 5 * This is a mock implementation. For real emotion data:6 * - Option 1: Modify your emotion.py to send data via HTTP POST7 * - Option 2: Create a WebSocket bridge between Python and JavaScript8 * - Option 3: Use a JavaScript-based emotion detection library9 */10 11class EmotionClient {12    constructor(sessionId) {13        this.sessionId = sessionId;14        this.isRunning = false;15        this.updateInterval = null;16        this.mockMode = true; // Set to false when real emotion API is available17    }18    19    start() {20        if (this.isRunning) return;21        22        log('Starting emotion detection...');23        this.isRunning = true;24        25        // Update emotion status indicator26        this.updateStatusIndicator('active');27        28        if (this.mockMode) {29            // Mock emotion data for testing30            this.startMockEmotionDetection();31        } else {32            // Real emotion detection would go here33            this.startRealEmotionDetection();34        }35    }36    37    stop() {38        if (!this.isRunning) return;39        40        log('Stopping emotion detection...');41        this.isRunning = false;42        43        if (this.updateInterval) {44            clearInterval(this.updateInterval);45            this.updateInterval = null;46        }47        48        this.updateStatusIndicator('inactive');49    }50    51    updateStatusIndicator(status) {52        const indicator = document.getElementById('emotion-status');53        const indicatorElement = indicator.parentElement;54        55        if (status === 'active') {56            indicator.textContent = 'Monitoring ✓';57            indicatorElement.classList.remove('inactive');58            indicatorElement.classList.add('active');59        } else {60            indicator.textContent = 'Not Connected';61            indicatorElement.classList.remove('active');62            indicatorElement.classList.add('inactive');63        }64    }65    66    startMockEmotionDetection() {67        // Generate mock emotion data for testing68        this.updateInterval = setInterval(() => {69            const emotionData = this.generateMockEmotion();70            this.sendEmotionData(emotionData);71        }, CONFIG.EMOTION_UPDATE_INTERVAL);72    }73    74    generateMockEmotion() {75        // Generate realistic-looking mock emotions76        const baseEmotion = Math.random();77        78        let emotions;79        if (baseEmotion < 0.6) {80            // Mostly neutral/happy81            emotions = {82                happy: 0.3 + Math.random() * 0.4,83                neutral: 0.3 + Math.random() * 0.3,84                sad: Math.random() * 0.1,85                angry: Math.random() * 0.1,86                fear: Math.random() * 0.187            };88        } else if (baseEmotion < 0.85) {89            // More stressed emotions90            emotions = {91                happy: Math.random() * 0.2,92                neutral: 0.2 + Math.random() * 0.3,93                sad: 0.1 + Math.random() * 0.3,94                angry: 0.1 + Math.random() * 0.2,95                fear: 0.1 + Math.random() * 0.296            };97        } else {98            // High stress (rare)99            emotions = {100                happy: Math.random() * 0.1,101                neutral: Math.random() * 0.2,102                sad: 0.2 + Math.random() * 0.3,103                angry: 0.2 + Math.random() * 0.3,104                fear: 0.2 + Math.random() * 0.3105            };106        }107        108        // Normalize to sum to 1109        const sum = Object.values(emotions).reduce((a, b) => a + b, 0);110        Object.keys(emotions).forEach(key => {111            emotions[key] /= sum;112        });113        114        return {115            timestamp: Date.now(),116            emotions117        };118    }119    120    async sendEmotionData(emotionData) {121        if (!this.isRunning) return;122        123        try {124            const response = await fetch(`${CONFIG.API_URL}/session/${this.sessionId}/emotion`, {125                method: 'POST',126                headers: {127                    'Content-Type': 'application/json'128                },129                body: JSON.stringify(emotionData)130            });131            132            const result = await response.json();133            134            if (result.intervention) {135                log('Intervention triggered by emotion threshold');136                this.stop();137                138                // Notify main app139                if (window.protocolManager) {140                    window.protocolManager.handleIntervention('Emotion threshold exceeded');141                }142            }143            144        } catch (err) {145            error('Failed to send emotion data:', err);146        }147    }148    149    /**150     * Integration with your existing emotion.py151     * 152     * To use real emotion detection:153     * 1. Modify your emotion.py to include:154     * 155     *    import requests156     *    import json157     * 158     *    # In your detection loop:159     *    emotion_data = {160     *        'timestamp': int(time.time() * 1000),161     *        'emotions': {162     *            'happy': result[0]['emotion']['happy'] / 100,163     *            'sad': result[0]['emotion']['sad'] / 100,164     *            'angry': result[0]['emotion']['angry'] / 100,165     *            'fear': result[0]['emotion']['fear'] / 100,166     *            'neutral': result[0]['emotion']['neutral'] / 100167     *        }168     *    }169     * 170     *    # Send to backend171     *    session_id = sys.argv[1]  # Pass session ID as argument172     *    requests.post(173     *        f'http://localhost:3000/api/session/{session_id}/emotion',174     *        json=emotion_data175     *    )176     * 177     * 2. Start emotion.py with session ID:178     *    python emotion.py <session_id>179     * 180     * 3. Set mockMode = false in this class181     */182    startRealEmotionDetection() {183        // This would integrate with your actual emotion detection184        // For now, show instructions185        console.info(`186To use real emotion detection:1871. Modify emotion.py to send data to: ${CONFIG.API_URL}/session/${this.sessionId}/emotion1882. Start emotion.py with: python emotion.py ${this.sessionId}1893. Set mockMode = false in emotion-client.js190        `);191    }192}193 194// Make available globally195window.EmotionClient = EmotionClient;196