File size: 5,594 Bytes
34367da
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
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('\n👁️  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 ${prod.name}`;
                    console.log(`   💡 Epiphany: "${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('⚖️  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(`   🚀 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(`   📄 Generated Presentation: ${ppt.filename}`);
            }

            console.log('💤 Cortex entering REM sleep (10s)...');
            await sleep(10000);

        } catch (error) {
            console.error('💥 CORTEX ERROR:', error);
            await sleep(5000); // Recover
        }
    }
}

// Start the loop
if (require.main === module) {
    cognitiveLoop();
}