import { neo4jAdapter } from '../adapters/Neo4jAdapter.js'; import { sentinelEngine } from '../services/SentinelEngine.js'; import { autonomousHarvester } from '../services/ingestion/AutonomousHarvester.js'; import { prefrontalCortex } from '../services/PrefrontalCortex.js'; import { tdcService } from '../services/tdc/TDCService.js'; /** * 🧠 CORTEX UNLEASHED - THE COGNITIVE LOOP * * This is the heartbeat of the autonomous system. * It continually cycles through Observation, Orientation, Decision, and Action. */ async function sleep(ms: number) { return new Promise(resolve => setTimeout(resolve, ms)); } async function cognitiveLoop() { console.log('🧠 CORTEX: SYSTEM AWAKE. INTELLIGENCE UNLEASHED.'); while (true) { try { // --- PHASE 1: OBSERVATION (The Senses) --- console.log('\nšŸ‘ļø PHASE 1: OBSERVING...'); // 1. Check for Knowledge Gaps const gaps = await sentinelEngine.getGapsDueForCheck(); if (gaps.length > 0) { console.log(` Found ${gaps.length} knowledge gaps requiring attention.`); // Trigger Sentinel to resolve them for (const gap of gaps) { await sentinelEngine.attemptAutoResolution(gap.id, gap.query, gap.gapType || 'unknown'); } } else { console.log(' Knowledge Graph coverage is stable.'); } // --- PHASE 2: ORIENTATION (The Pattern Matcher) --- console.log('🧩 PHASE 2: ORIENTING...'); // 1. Find new connections between TDC Products and Strategic Concepts // This query looks for products that haven't been linked to a "Solution" node yet const looseProducts = await neo4jAdapter.executeQuery(` MATCH (p:TDC_Product) WHERE NOT (p)-[:PART_OF]->(:Solution) RETURN p.name as name, p.description as desc LIMIT 3 `); if (looseProducts.length > 0) { console.log(` Identified ${looseProducts.length} un-utilized TDC products. Generating solution concepts...`); for (const prod of looseProducts) { // Simulate creative spark: Connect product to a random industry need const industries = ['Finance', 'Healthcare', 'Public Sector']; const industry = industries[Math.floor(Math.random() * industries.length)]; const concept = `Secure ${industry} Connectivity with ${prod.name}`; console.log(` šŸ’” Epiphany: "${concept}"`); // Create an Idea in The Muse await neo4jAdapter.executeQuery(` CREATE (i:Idea { id: $id, title: $title, confidence: 0.85, status: 'INCUBATED', created_at: datetime() }) WITH i MATCH (p:TDC_Product {name: $prodName}) CREATE (p)-[:INSPIRED]->(i) `, { id: `idea-${Date.now()}`, title: concept, prodName: prod.name }); } } // --- PHASE 3: DECISION (The Strategist) --- console.log('āš–ļø PHASE 3: DECIDING...'); // Should we harvest more data? const stats = autonomousHarvester.getStats(); if (stats.ingested < 100) { // Arbitrary threshold console.log(' Data density low. Authorizing Harvest Mission.'); // Fire and forget harvest autonomousHarvester.startHarvest().catch(e => console.error(e)); } // --- PHASE 4: ACTION (The Motor Cortex) --- console.log('🦾 PHASE 4: ACTING...'); // Check for Ideas that are ready to be prototyped const matureIdeas = await neo4jAdapter.executeQuery(` MATCH (i:Idea {status: 'INCUBATED'}) WHERE i.confidence > 0.8 RETURN i.title as title, i.id as id LIMIT 1 `); if (matureIdeas.length > 0) { const idea = matureIdeas[0]; console.log(` šŸš€ Promoting Idea: "${idea.title}" to Prototype...`); // 1. Mark as promoted await neo4jAdapter.executeQuery(` MATCH (i:Idea {id: $id}) SET i.status = 'PROMOTED' `, { id: idea.id }); // 2. Generate a TDC Presentation for it (Autonomously) const ppt = await tdcService.generateSolutionPPT('Autonomous Internal Review', idea.title); console.log(` šŸ“„ Generated Presentation: ${ppt.filename}`); } console.log('šŸ’¤ Cortex entering REM sleep (10s)...'); await sleep(10000); } catch (error) { console.error('šŸ’„ CORTEX ERROR:', error); await sleep(5000); // Recover } } } // Start the loop if (require.main === module) { cognitiveLoop(); }