Fix duplicate consciousness bootstrap calls and refactor demo imports

backend/unified_server.py

@@ -362,6 +362,26 @@ def get_knowledge_stats() -> Dict[str, Any]:
     }
 }
 
+def is_consciousness_bootstrap_complete(cognitive_manager) -> bool:
+    """
+    Check if consciousness bootstrap has already been completed.
+
+    Args:
+        cognitive_manager: The cognitive manager instance with consciousness_engine
+
+    Returns:
+        bool: True if bootstrap is complete, False otherwise
+    """
+    # Check if cognitive_manager and its consciousness_engine exist and are not None
+    if not cognitive_manager or not hasattr(cognitive_manager, 'consciousness_engine'):
+        return False
+
+    ce = cognitive_manager.consciousness_engine
+    if not ce or not hasattr(ce, "current_state") or not hasattr(ce.current_state, "phenomenal_experience"):
+        return False
+
+    return ce.current_state.phenomenal_experience.get("bootstrap_complete", False)
+
 async def initialize_core_services():
     """Initialize core services with proper error handling."""
     global godelos_integration, websocket_manager, enhanced_websocket_manager, unified_consciousness_engine, tool_based_llm, cognitive_manager, transparency_engine
@@ -438,9 +458,13 @@ 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")
+                    # Check if bootstrap has already completed
+                    if not is_consciousness_bootstrap_complete(cognitive_manager):
+                        logger.info("🌅 Bootstrapping consciousness in cognitive manager...")
+                        await cognitive_manager.consciousness_engine.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}")
 
@@ -479,22 +503,29 @@ async def initialize_core_services():
             logger.info("🧠 Unified consciousness loop started")
 
             # Bootstrap consciousness from unconscious state to operational awareness
-            logger.info("🌅 Initiating consciousness bootstrap sequence...")
+            # (Only if not already bootstrapped in the cognitive manager section above)
+            logger.info("🌅 Checking consciousness bootstrap state...")
             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")
+                # Check if bootstrap was already completed
+                if not is_consciousness_bootstrap_complete(cognitive_manager):
+                    # Check if system needs bootstrapping based on awareness level
+                    state_injector = unified_consciousness_engine.cognitive_state_injector
+                    if state_injector:
+                        bootstrap_state = await state_injector.capture_current_state()
+                        if hasattr(bootstrap_state, 'awareness_level') and bootstrap_state.awareness_level < 0.5:
+                            # System needs bootstrapping
+                            logger.info("Consciousness needs bootstrap - initiating awakening sequence")
+                            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})")
                     else:
-                        logger.warning("⚠️ Cognitive manager not available for bootstrap, consciousness will self-organize")
+                        logger.warning("⚠️ Cognitive state injector not available, skipping awareness level check")
                 else:
-                    logger.info(f"Consciousness already active (level: {bootstrap_state.awareness_level:.2f})")
+                    logger.info("🟡 Consciousness bootstrap already completed; skipping duplicate check.")
             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")

demo_consciousness.py

@@ -19,6 +19,13 @@
 # Add project to path
 sys.path.insert(0, '/workspace/GodelOS')
 
+# Import all required modules at the top of the file
+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
+
 print("=" * 80)
 print("🧠 GODELSOS CONSCIOUSNESS INTEGRATION DEMO")
 print("=" * 80)
@@ -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()