import { neo4jService } from '../database/Neo4jService.js';
import { neuralStream, NeuralEvent } from './NeuralStream.js';
import { metricsService } from './MetricsService.js';

export interface KnowledgePacket {
    title: string;
    content: string;
    source: string;
    category: string;
    tags: string[];
}

class KnowledgeAcquisitionService {
    private static instance: KnowledgeAcquisitionService;

    private constructor() {
        console.log('🧠 [KnowledgeAcquisition] Cortex Ingestor Online.');
        this.setupNeuralListeners();
    }

    public static getInstance(): KnowledgeAcquisitionService {
        if (!KnowledgeAcquisitionService.instance) {
            KnowledgeAcquisitionService.instance = new KnowledgeAcquisitionService();
        }
        return KnowledgeAcquisitionService.instance;
    }

    /**
     * Lytter på nervesystemet efter ny viden fra OmniHarvester eller andre agenter
     */
    private setupNeuralListeners() {
        // Når OmniHarvester har fundet noget (SYSTEM_HEALED med context 'ActiveLearning')
        // eller når vi manuelt pusher viden.
        neuralStream.on('KNOWLEDGE_INGEST_REQ', async (event: NeuralEvent) => {
            console.log('📥 [Acquisition] Receiving knowledge stream...', event.payload.title);
            await this.ingestKnowledge(event.payload as unknown as KnowledgePacket);
        });
    }

    /**
     * KERNE-LOGIK: Konverterer rå tekst til Graf-Struktur
     * Dette er "Memory Consolidation" processen.
     */
    public async ingestKnowledge(packet: KnowledgePacket): Promise<boolean> {
        const startTime = Date.now();

        try {
            // 1. Opret selve videns-noden (Fact / Document)
            // Vi bruger MERGE for at undgå duplikater baseret på titel/source
            const cypher = `
        MERGE (k:Knowledge {title: $title})
        SET k.content = $content,
            k.source = $source,
            k.category = $category,
            k.ingestedAt = datetime(),
            k.hash = $hash

        // 2. Opret kategori-struktur
        MERGE (c:Category {name: $category})
        MERGE (k)-[:BELONGS_TO]->(c)

        // 3. Auto-Tagging (Opretter tags og linker dem)
        FOREACH (tagName IN $tags |
          MERGE (t:Tag {name: tagName})
          MERGE (k)-[:TAGGED_WITH]->(t)
        )
      `;

            // Simpel hash for integritet
            const hash = Buffer.from(packet.title + packet.source).toString('base64');

            await neo4jService.runQuery(cypher, {
                title: packet.title,
                content: packet.content,
                source: packet.source,
                category: packet.category || 'General',
                tags: packet.tags || [],
                hash
            });

            // 4. THE MAGIC: Semantic Auto-Linking
            // Vi søger efter eksisterende noder, der nævnes i den nye tekst, og linker dem.
            await this.createSemanticLinks(packet.title, packet.content);

            // 5. Metrics & Feedback
            const duration = Date.now() - startTime;
            metricsService.incrementCounter('knowledge_ingested');
            console.log(`✅ [Acquisition] Absorbed: "${packet.title}" in ${duration}ms`);

            neuralStream.emitEvent('SYSTEM_HEALED', 'LOW', {
                action: 'MEMORY_CONSOLIDATED',
                target: packet.title
            }, 'KnowledgeAcquisition');

            return true;

        } catch (error) {
            console.error('❌ [Acquisition] Failed to ingest:', error);
            return false;
        }
    }

    /**
     * Finder andre noder i grafen, der nævnes i denne tekst, og skaber relationer.
     * Dette gør grafen "tættere" og klogere over tid.
     */
    private async createSemanticLinks(nodeTitle: string, content: string) {
        // Find noder (Personer, Tech, Threats) hvis navne optræder i den nye tekst
        // Undgå at linke til sig selv
        const linkCypher = `
      MATCH (k:Knowledge {title: $title})
      MATCH (other)
      WHERE other <> k
        AND (other:Person OR other:Technology OR other:Threat OR other:Organization)
        AND size(other.name) > 3  // Ignorer støj
        AND $content CONTAINS other.name
      MERGE (k)-[:MENTIONS]->(other)
      RETURN count(other) as links
    `;

        const result = await neo4jService.runQuery(linkCypher, {
            title: nodeTitle,
            content: content
        });

        const linksCreated = (result[0]?.links as any)?.toNumber?.() || 0;
        if (linksCreated > 0) {
            console.log(`🔗 [Acquisition] Auto-linked "${nodeTitle}" to ${linksCreated} existing concepts.`);
        }
    }

    // Stubs for backward compatibility
    public async acquire(params: any): Promise<any> { return { success: false, message: 'Deprecated' }; }
    public async batchAcquire(params: any): Promise<any> { return []; }
    public async semanticSearch(query: string, limit: number): Promise<any> { return []; }
    public async getVectorStats(): Promise<any> { return { totalRecords: 0 }; }
    public async acquireFromTargets(ids?: string[]): Promise<any> { return []; }
    public async acquireSingleTarget(id: string): Promise<any> { return null; }
}

export const knowledgeAcquisition = KnowledgeAcquisitionService.getInstance();