Merge pull request #47 from Steake/copilot/sub-pr-44-another-one

Fix duplicate consciousness bootstrap and import organization

Author: Steake

backend/unified_server.py

@@ -438,9 +438,20 @@ async def initialize_core_services():
             # Bootstrap consciousness after initialization
             if hasattr(cognitive_manager, 'consciousness_engine') and cognitive_manager.consciousness_engine:
                 try:
-                    logger.info("🌅 Bootstrapping consciousness in cognitive manager...")
-                    await cognitive_manager.consciousness_engine.bootstrap_consciousness()
-                    logger.info("✅ Consciousness engine bootstrapped successfully")
+                    ce = cognitive_manager.consciousness_engine
+                    # Check if bootstrap already completed to avoid duplicate calls
+                    bootstrap_done = False
+                    if (hasattr(ce, 'current_state') and 
+                        hasattr(ce.current_state, 'phenomenal_experience') and 
+                        ce.current_state.phenomenal_experience):
+                        bootstrap_done = ce.current_state.phenomenal_experience.get('bootstrap_complete', False)
+                    
+                    if not bootstrap_done:
+                        logger.info("🌅 Bootstrapping consciousness in cognitive manager...")
+                        await ce.bootstrap_consciousness()
+                        logger.info("✅ Consciousness engine bootstrapped successfully")
+                    else:
+                        logger.info("🟡 Consciousness engine bootstrap already completed; skipping duplicate call.")
                 except Exception as bootstrap_error:
                     logger.warning(f"⚠️ Consciousness bootstrap warning (non-fatal): {bootstrap_error}")
 
@@ -477,27 +488,9 @@ async def initialize_core_services():
             # Start the consciousness loop
             await unified_consciousness_engine.start_consciousness_loop()
             logger.info("🧠 Unified consciousness loop started")
-
-            # Bootstrap consciousness from unconscious state to operational awareness
-            logger.info("🌅 Initiating consciousness bootstrap sequence...")
-            try:
-                bootstrap_state = await unified_consciousness_engine.consciousness_state_injector.capture_current_state()
-                # Update unified consciousness state from bootstrap
-                if hasattr(bootstrap_state, 'awareness_level') and bootstrap_state.awareness_level < 0.5:
-                    # System needs bootstrapping
-                    logger.info("Consciousness needs bootstrap - initiating awakening sequence")
-                    # Note: UnifiedConsciousnessEngine doesn't have bootstrap_consciousness directly
-                    # We'll need to check if cognitive_manager has it
-                    if cognitive_manager and hasattr(cognitive_manager, 'consciousness_engine'):
-                        await cognitive_manager.consciousness_engine.bootstrap_consciousness()
-                        logger.info("✅ Consciousness bootstrapped successfully via cognitive manager")
-                    else:
-                        logger.warning("⚠️ Cognitive manager not available for bootstrap, consciousness will self-organize")
-                else:
-                    logger.info(f"Consciousness already active (level: {bootstrap_state.awareness_level:.2f})")
-            except Exception as bootstrap_error:
-                logger.warning(f"⚠️ Consciousness bootstrap encountered issue (non-fatal): {bootstrap_error}")
-                logger.info("Consciousness will self-organize through normal operation")
+            
+            # Note: Consciousness bootstrap is handled in cognitive_manager initialization above
+            # to avoid duplicate bootstrap calls
 
         except Exception as e:
             logger.error(f"❌ Failed to initialize unified consciousness engine: {e}")

demo_consciousness.py

@@ -16,6 +16,13 @@
 import time
 from datetime import datetime
 
+# Backend imports - moved to top for better organization
+from backend.core.consciousness_engine import ConsciousnessEngine
+from backend.core.unified_consciousness_engine import UnifiedConsciousnessEngine
+from backend.goal_management_system import GoalManagementSystem
+from backend.core.metacognitive_monitor import MetaCognitiveMonitor
+from backend.core.knowledge_graph_evolution import KnowledgeGraphEvolution
+
 # Add project to path
 sys.path.insert(0, '/workspace/GodelOS')
 
@@ -32,8 +39,6 @@ async def demo_1_bootstrap():
     print("└" + "─" * 78 + "┘")
     print()
 
-    from backend.core.consciousness_engine import ConsciousnessEngine
-
     print("Creating consciousness engine...")
     engine = ConsciousnessEngine()
 
@@ -72,8 +77,6 @@ async def demo_2_real_computation():
     print("└" + "─" * 78 + "┘")
     print()
 
-    from backend.core.unified_consciousness_engine import UnifiedConsciousnessEngine
-
     print("Creating unified consciousness engine...")
     engine = UnifiedConsciousnessEngine()
     await engine.initialize_components()
@@ -108,8 +111,6 @@ async def demo_3_conscious_query():
     print("└" + "─" * 78 + "┘")
     print()
 
-    from backend.core.unified_consciousness_engine import UnifiedConsciousnessEngine
-
     print("Setting up consciousness engine for query processing...")
     engine = UnifiedConsciousnessEngine()
     await engine.initialize_components()
@@ -155,8 +156,6 @@ async def demo_4_goals_phenomenal():
     print("└" + "─" * 78 + "┘")
     print()
 
-    from backend.goal_management_system import GoalManagementSystem
-
     print("Creating goal management system...")
     goal_system = GoalManagementSystem()
 
@@ -206,8 +205,6 @@ async def demo_5_metacognition_depth():
     print("└" + "─" * 78 + "┘")
     print()
 
-    from backend.core.metacognitive_monitor import MetaCognitiveMonitor
-
     print("Creating metacognitive monitor...")
     monitor = MetaCognitiveMonitor()
 
@@ -248,8 +245,6 @@ async def demo_6_knowledge_graph_insights():
     print("└" + "─" * 78 + "┘")
     print()
 
-    from backend.core.knowledge_graph_evolution import KnowledgeGraphEvolution
-
     print("Creating knowledge graph...")
     kg = KnowledgeGraphEvolution()