Update app.py

app.py

@@ -145,231 +145,6 @@ def get_inactive_agent_html(agent_name: str, description: str):
     </div>
     """
 
-# ===========================================
-# TRUE ARF 3.3.7 ORCHESTRATOR (UPDATED VERSION)
-# ===========================================
-class TrueARF337Orchestrator:
-    """
-    True ARF v3.3.7 orchestrator with:
-    - Real OSS package for advisory analysis (agentic-reliability-framework==3.3.7)
-    - Enterprise simulation to show upgrade value
-    - Clear separation between OSS and Enterprise features
-    """
-    
-    def __init__(self):
-        logger.info("TrueARF337Orchestrator initialized with v3.3.7")
-        self.true_oss_available = False
-        self.enterprise_sim_available = False
-        self._initialize_true_components()
-    
-    def _initialize_true_components(self):
-        """Initialize true ARF components"""
-        # Try to load true OSS integration
-        try:
-            from core.true_arf_oss import get_true_arf_oss
-            self.true_oss = get_true_arf_oss
-            self.true_oss_available = True
-            logger.info("✅ True ARF OSS v3.3.7 component loaded")
-        except ImportError as e:
-            logger.warning(f"True ARF OSS not available: {e}")
-            self.true_oss_available = False
-            self.true_oss = None
-        
-        # Try to load enterprise simulation
-        try:
-            from core.enterprise_simulation import get_enterprise_simulation
-            self.enterprise_sim = get_enterprise_simulation
-            self.enterprise_sim_available = True
-            logger.info("✅ Enterprise simulation component loaded")
-        except ImportError as e:
-            logger.warning(f"Enterprise simulation not available: {e}")
-            self.enterprise_sim_available = False
-            self.enterprise_sim = None
-        
-        # Fallback to mock if true components not available
-        if not self.true_oss_available:
-            logger.info("⚠️ Falling back to enhanced mock ARF")
-            self._init_mock_fallback()
-    
-    def _init_mock_fallback(self):
-        """Initialize mock fallback functions with scenario-aware metrics"""
-        try:
-            from demo.mock_arf import (
-                simulate_arf_analysis,
-                run_rag_similarity_search,
-                create_mock_healing_intent,
-                calculate_pattern_confidence
-            )
-            self._simulate_arf_analysis = simulate_arf_analysis
-            self._run_rag_similarity_search = run_rag_similarity_search
-            self._create_mock_healing_intent = create_mock_healing_intent
-            self._calculate_pattern_confidence = calculate_pattern_confidence
-            logger.info("✅ Enhanced scenario-aware mock ARF functions loaded")
-        except ImportError as e:
-            logger.error(f"Failed to load mock ARF functions: {e}")
-    
-    async def analyze_incident(self, scenario_name: str, scenario_data: Dict[str, Any]) -> Dict[str, Any]:
-        """
-        Analyze an incident using TRUE ARF v3.3.7 when available
-        
-        This method showcases:
-        1. True OSS analysis (if agentic-reliability-framework installed)
-        2. Enterprise value proposition simulation
-        3. Clear OSS/Enterprise boundary
-        """
-        logger.info(f"TrueARF337Orchestrator analyzing incident: {scenario_name}")
-        
-        # Use true OSS if available, otherwise fallback to mock
-        if self.true_oss_available and self.true_oss:
-            return await self._analyze_with_true_oss(scenario_name, scenario_data)
-        else:
-            return await self._analyze_with_mock(scenario_name, scenario_data)
-    
-    async def _analyze_with_true_oss(self, scenario_name: str, scenario_data: Dict[str, Any]) -> Dict[str, Any]:
-        """Analyze using true ARF OSS v3.3.7"""
-        try:
-            # Get true OSS instance
-            true_oss_instance = await self.true_oss()
-            
-            # Run true OSS analysis
-            oss_analysis = await true_oss_instance.analyze_scenario(scenario_name, scenario_data)
-            
-            # Enhance with Enterprise simulation if available
-            enterprise_enhancements = None
-            if self.enterprise_sim_available and self.enterprise_sim and oss_analysis.get("status") == "success":
-                enterprise_instance = await self.enterprise_sim()
-                enterprise_enhancements = await enterprise_instance.enhance_oss_analysis(
-                    oss_analysis, scenario_name
-                )
-            
-            # Compile results
-            result = {
-                "status": "success",
-                "scenario": scenario_name,
-                "arf_version": "3.3.7",
-                "true_oss_used": True,
-                "enterprise_simulated": self.enterprise_sim_available,
-                "oss_analysis": oss_analysis,
-                "enterprise_enhancements": enterprise_enhancements,
-                "demo_display": {
-                    "real_arf_version": "3.3.7",
-                    "license": "Apache 2.0 (OSS)",
-                    "novel_execution": enterprise_enhancements is not None,
-                    "rollback_guarantees": enterprise_enhancements.get("enhancements", {}).get("rollback_guarantees", {}).get("guarantee", "N/A") if enterprise_enhancements else "N/A",
-                    "execution_modes": ["advisory", "approval", "autonomous"] if enterprise_enhancements else ["advisory"]
-                }
-            }
-            
-            return result
-            
-        except Exception as e:
-            logger.error(f"True OSS analysis failed: {e}", exc_info=True)
-            # Fallback to mock
-            return await self._analyze_with_mock(scenario_name, scenario_data)
-    
-    async def _analyze_with_mock(self, scenario_name: str, scenario_data: Dict[str, Any]) -> Dict[str, Any]:
-        """Fallback mock analysis with scenario-aware metrics"""
-        logger.info(f"Using scenario-aware mock analysis for: {scenario_name}")
-        
-        try:
-            # Add scenario name to data
-            scenario_data_with_name = scenario_data.copy()
-            scenario_data_with_name["name"] = scenario_name
-            
-            # Step 1: Detection Agent
-            detection_result = self._simulate_arf_analysis(scenario_data_with_name)
-            
-            # Step 2: Recall Agent  
-            similar_incidents = self._run_rag_similarity_search(scenario_data_with_name)
-            
-            # Step 3: Decision Agent
-            confidence = self._calculate_pattern_confidence(scenario_data_with_name, similar_incidents)
-            healing_intent = self._create_mock_healing_intent(scenario_data_with_name, similar_incidents, confidence)
-            
-            # Simulate processing time
-            await asyncio.sleep(0.5)
-            
-            result = {
-                "status": "success",
-                "scenario": scenario_name,
-                "detection": detection_result,
-                "recall": similar_incidents,
-                "decision": healing_intent,
-                "confidence": confidence,
-                "processing_time_ms": 450,
-                "demo_display": {
-                    "real_arf_version": "mock",
-                    "license": "N/A",
-                    "novel_execution": False,
-                    "rollback_guarantees": "N/A",
-                    "execution_modes": ["advisory"]
-                }
-            }
-            
-            logger.info(f"Scenario-aware mock analysis complete for {scenario_name}")
-            return result
-            
-        except Exception as e:
-            logger.error(f"Mock analysis failed: {e}", exc_info=True)
-            return {
-                "status": "error",
-                "message": str(e),
-                "scenario": scenario_name
-            }
-    
-    async def execute_healing(self, scenario_name: str, mode: str = "autonomous") -> Dict[str, Any]:
-        """Execute healing action (simulated for demo)"""
-        # In true OSS, execution is not allowed - only advisory
-        # Enterprise simulation shows what would be possible with arf_enterprise
-        
-        await asyncio.sleep(0.3)
-        
-        if mode == "advisory":
-            return {
-                "status": "advisory_only",
-                "message": "OSS mode provides recommendations only. Upgrade to Enterprise for execution.",
-                "scenario": scenario_name,
-                "action": "analysis_complete",
-                "requires_enterprise": True,
-                "enterprise_features_required": [
-                    "autonomous_execution",
-                    "novel_execution_protocols",
-                    "rollback_guarantees"
-                ]
-            }
-        elif mode == "approval":
-            # Simulate Enterprise approval mode
-            return {
-                "status": "awaiting_approval",
-                "message": "Enterprise Approval Mode: Healing intent created, awaiting human approval",
-                "scenario": scenario_name,
-                "action": "scale_out",
-                "approval_required": True,
-                "estimated_savings": "$8,500",
-                "enterprise_feature": True,
-                "requires_license": True
-            }
-        else:  # autonomous
-            # Simulate Enterprise autonomous mode
-            return {
-                "status": "executed",
-                "message": "Enterprise Autonomous Mode: Healing action executed with safety guarantees",
-                "scenario": scenario_name,
-                "action": "scale_out",
-                "execution_time": "12 minutes",
-                "cost_saved": "$8,500",
-                "rollback_available": True,
-                "rollback_guarantee": "STRONG",
-                "novel_execution_used": True,
-                "execution_mode": "autonomous",
-                "enterprise_features_used": [
-                    "deterministic_confidence",
-                    "novel_execution_protocols",
-                    "rollback_guarantees",
-                    "business_aware_execution"
-                ]
-            }
-
 # ===========================================
 # IMPORT MODULAR COMPONENTS - UPDATED FOR TRUE ARF
 # ===========================================
@@ -406,8 +181,34 @@ def import_components() -> Dict[str, Any]:
             }
         
         # Use TrueARF337Orchestrator for true ARF integration
-        components["DemoOrchestrator"] = TrueARF337Orchestrator
-        logger.info("✅ Using TrueARF337Orchestrator with real v3.3.7 integration")
+        try:
+            from core.true_arf_orchestrator import TrueARF337Orchestrator
+            components["DemoOrchestrator"] = TrueARF337Orchestrator
+            logger.info("✅ Using TrueARF337Orchestrator with real v3.3.7 integration")
+        except ImportError as e:
+            logger.warning(f"TrueARF337Orchestrator not available: {e}")
+            # Fall back to old implementation
+            try:
+                from core.real_arf_integration import RealARFIntegration
+                components["DemoOrchestrator"] = RealARFIntegration
+                logger.info("⚠️ Falling back to RealARFIntegration")
+            except ImportError as e2:
+                logger.error(f"RealARFIntegration also not available: {e2}")
+                # Create a minimal mock orchestrator
+                class MockOrchestrator:
+                    async def analyze_incident(self, scenario_name, scenario_data):
+                        return {
+                            "status": "error",
+                            "error": "No orchestrator available",
+                            "scenario": scenario_name
+                        }
+                    async def execute_healing(self, scenario_name, mode="autonomous"):
+                        return {
+                            "status": "error",
+                            "error": "No orchestrator available",
+                            "scenario": scenario_name
+                        }
+                components["DemoOrchestrator"] = MockOrchestrator
         
         # Import ROI calculator
         try: