/**
 * AI Core Module
 * Neural Network Simulation for Financial Fraud Detection
 */

class AICore {
    constructor() {
        this.apiEndpoint = '/api/v1/ai';
        this.isProcessing = false;
        this.models = {
            fraudDetection: 'SPECTRE-V4-TRANSFORMER',
            riskScoring: 'RISK-NET-XL',
            nlpAnalysis: 'DOCUMENT-AI-V3'
        };
    }

    /**
     * Analyze a specific entity using ML models
     */
    async analyzeEntity(entityId) {
        console.log(`🤖 AI Core: Analyzing entity ${entityId}...`);
        
        // Simulate API call delay
        await this.delay(800);
        
        // Mock AI analysis result
        return {
            entityId: entityId,
            riskScore: Math.floor(Math.random() * 30) + 70, // High risk simulation
            anomalies: [
                { type: 'VELOCITY_SPIKE', severity: 'HIGH', description: 'Transaction volume increased by 400% in last 24h' },
                { type: 'STRUCTURE_ANOMALY', severity: 'MEDIUM', description: 'Nested entity structure detected' },
                { type: 'GEO_ANOMALY', severity: 'LOW', description: 'Transactions from unexpected jurisdictions' }
            ],
            predictedOutcome: 'LIKELY_FRAUDULENT',
            confidence: 0.96,
            recommendations: [
                'Flag for manual review',
                'Cross-reference with PEP databases',
                'Request source of funds documentation'
            ]
        };
    }

    /**
     * Global Risk Analysis
     */
    async analyzeGlobalRisk() {
        console.log('🌍 AI Core: Running global risk assessment...');
        await this.delay(1200);
        
        return {
            globalRiskScore: 78, // Out of 100
            threatLevel: 'ELEVATED',
            activeThreats: 12,
            networkAnomalies: 47,
            predictions: {
                nextWeekRisk: 0.82,
                likelyAttackVector: 'Supply Chain Compromise',
                affectedSectors: ['Banking', 'Crypto', 'Real Estate']
            }
        };
    }

    /**
     * Natural Language Processing for Report Generation
     */
    async generateReport(entityId) {
        await this.delay(2000);
        
        return {
            summary: "This entity exhibits classic markers of a shell company structure...",
            sentiment: "NEGATIVE",
            keyPhrases: ["shell company", "fund layering", "round-tripping"],
            entitiesMentioned: ["Cayman Islands", "Delaware", "Offshore Account"]
        };
    }

    /**
     * Pattern Matching against known fraud databases
     */
    async matchPatterns(entityData) {
        console.log('🔍 AI Core: Matching patterns against fraud database...');
        await this.delay(600);
        
        // Simulate matching logic
        const matchScore = Math.random();
        return {
            matchesFound: matchScore > 0.7 ? 5 : 0,
            matchType: matchScore > 0.7 ? 'KNOWN_FRAUD_PATTERN' : 'NO_MATCH',
            similarCases: matchScore > 0.7 ? [
                { caseId: 'CASE-2024-001', similarity: 0.94 },
                { caseId: 'CASE-2023-287', similarity: 0.89 }
            ] : []
        };
    }

    /**
     * Utility: Simulate API delay
     */
    delay(ms) {
        return new Promise(resolve => setTimeout(resolve, ms));
    }
}

// Export for use in other scripts
window.AICore = AICore;