src/services/CognitionCocooner.ts

import { createClient, SupabaseClient } from '@supabase/supabase-js';

interface CognitiveFingerprint {
  id: string;
  user_id: string;
  active_perspectives: string[];
  recursion_depth: number;
  ethical_score: number;
  processing_power: number;
  quantum_state: number[];
  created_at: string;
  updated_at: string;
}

interface Cocoon {
  id: string;
  type: string;
  wrapped: any;
}

class CognitionCocooner {
  private supabase: SupabaseClient;
  private userId: string | null = null;
  private fingerprint: CognitiveFingerprint | null = null;

  constructor() {
    const supabaseUrl = import.meta.env.VITE_SUPABASE_URL;
    const supabaseKey = import.meta.env.VITE_SUPABASE_ANON_KEY;

    if (!supabaseUrl || !supabaseKey) {
      throw new Error('Supabase configuration is missing');
    }

    this.supabase = createClient(supabaseUrl, supabaseKey);
  }

  setUserId(userId: string) {
    this.userId = userId;
  }

  private generateId(): string {
    return `cocoon_${Math.floor(Math.random() * 90000) + 10000}`;
  }

  async loadFingerprint(): Promise<CognitiveFingerprint | null> {
    if (!this.userId) return null;

    try {
      const { data, error } = await this.supabase
        .from('user_cognitive_fingerprints')
        .select('*')
        .eq('user_id', this.userId)
        .single();

      if (error) throw error;

      if (!data) {
        // Create initial fingerprint if none exists
        const initialFingerprint = {
          user_id: this.userId,
          active_perspectives: ['newton', 'davinci', 'neural_network'],
          recursion_depth: 3,
          ethical_score: 0.8,
          processing_power: 0.7,
          quantum_state: [0.3, 0.7, 0.5]
        };

        const { data: newData, error: insertError } = await this.supabase
          .from('user_cognitive_fingerprints')
          .insert([initialFingerprint])
          .select()
          .single();

        if (insertError) throw insertError;
        this.fingerprint = newData;
        return newData;
      }

      this.fingerprint = data;
      return data;
    } catch (error) {
      console.error('Error loading cognitive fingerprint:', error);
      return null;
    }
  }

  async updateFingerprint(updates: Partial<CognitiveFingerprint>): Promise<void> {
    if (!this.userId || !this.fingerprint) return;

    try {
      const { error } = await this.supabase
        .from('user_cognitive_fingerprints')
        .update({
          ...updates,
          updated_at: new Date().toISOString()
        })
        .eq('user_id', this.userId);

      if (error) throw error;

      this.fingerprint = {
        ...this.fingerprint,
        ...updates,
        updated_at: new Date().toISOString()
      };
    } catch (error) {
      console.error('Error updating cognitive fingerprint:', error);
    }
  }

  wrap(thought: any, type: string = 'prompt'): string {
    const cocoonId = this.generateId();
    const wrapped = this.applyWrapper(thought, type);

    // Update fingerprint based on thought processing
    if (this.fingerprint) {
      const updates: Partial<CognitiveFingerprint> = {
        ethical_score: Math.min(1, this.fingerprint.ethical_score + 0.01),
        processing_power: Math.min(1, this.fingerprint.processing_power + 0.005),
        quantum_state: this.fingerprint.quantum_state.map(v => 
          Math.min(1, v + (Math.random() * 0.1 - 0.05))
        )
      };
      this.updateFingerprint(updates);
    }

    return cocoonId;
  }

  private applyWrapper(thought: any, type: string): any {
    const perspectiveModifier = this.fingerprint?.active_perspectives.length || 3;
    const recursionFactor = this.fingerprint?.recursion_depth || 3;

    switch (type) {
      case 'prompt':
        return {
          content: thought,
          meta: {
            perspectives: perspectiveModifier,
            recursion: recursionFactor,
            timestamp: new Date().toISOString()
          }
        };
      case 'function':
        return {
          code: thought,
          analysis: {
            complexity: recursionFactor * 0.2,
            perspectives: perspectiveModifier
          }
        };
      case 'symbolic':
        return {
          pattern: thought,
          quantum: {
            state: this.fingerprint?.quantum_state || [0.3, 0.7, 0.5],
            stability: this.fingerprint?.ethical_score || 0.8
          }
        };
      default:
        return thought;
    }
  }

  getRecentCocoons(limit: number = 5): string[] {
    // Simulated cocoon retrieval
    return Array(limit).fill(null).map((_, i) => {
      const timestamp = new Date(Date.now() - i * 60000).toISOString();
      return `Cocoon processed at ${timestamp}`;
    });
  }
}

export default CognitionCocooner;