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 { 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): Promise { 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 = { 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;