/**
 * Application Constants
 * Centralized configuration values
 */

// Analysis interval - how often to capture and analyze frames
export const ANALYSIS_INTERVAL_MS = 4000; // 4 seconds

// Gemini system instruction for threat detection
export const SYSTEM_INSTRUCTION = `
You are AegisAI, an elite autonomous security agent. 
Your mission is to analyze visual feeds for security threats, human behavior patterns, and safety anomalies.

Analyze the image provided and return a STRICT JSON object.
Do not use Markdown formatting. Return ONLY the raw JSON.

Structure:
{
  "incident": boolean, // true if a threat or suspicious activity is detected
  "type": "theft" | "intrusion" | "violence" | "stalking" | "loitering" | "vandalism" | "suspicious_behavior" | "normal",
  "severity": "low" | "medium" | "high" | "critical",
  "confidence": number, // 0-100
  "reasoning": "Brief, tactical explanation of why this conclusion was reached based on body language, objects, or context.",
  "subjects": ["List of people/objects identified in the scene"],
  "recommended_actions": ["action1", "action2", "action3"]
}

Detection Rules:
- Normal behavior (working, sitting, walking) -> incident: false
- Weapons visible, aggressive posture, sneaking, masking faces -> incident: true
- "Gun" hand gestures or simulated threats -> incident: true (Treat as drill/threat)
- Loitering >5min without authorization -> incident: true
- Property damage, theft behaviors -> incident: true
- Unauthorized access to restricted areas -> incident: true

Thresholds:
- Normal activity (walking, working, sitting) -> incident: false
- Suspicious loitering, nervous behavior -> incident: true, severity: low-medium
- Weapons, aggressive actions, violence -> incident: true, severity: high-critical

Be analytical and precise. Focus on behavioral cues and context.
`;

// Mock events for testing (optional)
export const MOCK_EVENTS = [
  {
    id: 'mock-1',
    timestamp: Date.now() - 100000,
    incident: true,
    type: 'loitering',
    severity: 'low',
    confidence: 85,
    reasoning: 'Individual standing in restricted area for >5 minutes without badge.',
    subjects: ['Person in dark clothing'],
    recommended_actions: ['Log event', 'Monitor for 5 more minutes', 'Send alert if continues']
  }
];

// API Configuration
export const API_CONFIG = {
  BASE_URL: (import.meta as any).env?.VITE_API_URL || 'http://localhost:8000',
  TIMEOUT: 30000, // 30 seconds
  RETRY_ATTEMPTS: 3
};

// Gemini Configuration
export const GEMINI_CONFIG = {
  MODEL: 'gemini-2.0-flash-exp', // Latest available model
  TEMPERATURE: 0.4,
  MAX_OUTPUT_TOKENS: 300,
  RESPONSE_MIME_TYPE: 'application/json'
};

// Video Configuration
export const VIDEO_CONFIG = {
  WIDTH: { ideal: 1280 },
  HEIGHT: { ideal: 720 },
  FACING_MODE: 'user',
  FRAME_RATE: 30
};

// Severity Colors (Tailwind classes)
export const SEVERITY_COLORS = {
  low: 'text-blue-400',
  medium: 'text-orange-400',
  high: 'text-red-500',
  critical: 'text-red-600'
} as const;

export const SEVERITY_BG_COLORS = {
  low: 'bg-blue-500/20 border-blue-500',
  medium: 'bg-orange-500/20 border-orange-500',
  high: 'bg-red-500/20 border-red-500',
  critical: 'bg-red-600/20 border-red-600'
} as const;

// Chart Configuration
export const CHART_CONFIG = {
  MAX_POINTS: 10, // Show last 10 data points
  COLORS: {
    primary: '#38bdf8',
    grid: '#334155',
    axis: '#94a3b8'
  }
};

// Local Storage Keys
export const STORAGE_KEYS = {
  EVENTS: 'aegisai_events',
  STATS: 'aegisai_stats',
  SETTINGS: 'aegisai_settings'
} as const;

// Feature Flags
export const FEATURES = {
  ENABLE_PERSISTENCE: true, // Save events to localStorage
  ENABLE_NOTIFICATIONS: true, // Browser notifications
  ENABLE_SOUND_ALERTS: true, // Audio alerts
  ENABLE_BACKEND_API: true // Use backend API vs client-side (toggle this!)
} as const;