Update core/true_arf_orchestrator.py

core/true_arf_orchestrator.py

@@ -4,7 +4,9 @@ Updated orchestrator that combines:
 2. Enterprise simulation to show value proposition
 """
 import logging
+import time
 from typing import Dict, Any
+from datetime import datetime, timedelta
 
 logger = logging.getLogger(__name__)
 
@@ -18,6 +20,8 @@ class TrueARF337Orchestrator:
     def __init__(self):
         self.true_oss = None
         self.enterprise_sim = None
+        self.arf_analysis_results = {}  # Store analysis results for execution
+        self.audit_trail_manager = None  # Will be set by app
         self._initialize_components()
     
     def _initialize_components(self):
@@ -82,6 +86,13 @@ class TrueARF337Orchestrator:
                     logger.error(f"Error in enterprise enhancement: {e}")
                     # Continue without enterprise enhancements
             
+            # Store analysis result for potential execution
+            self.arf_analysis_results[scenario_name] = {
+                "oss_analysis": oss_analysis,
+                "enterprise_enhancements": enterprise_enhancements,
+                "timestamp": datetime.now().isoformat()
+            }
+            
             # Combine results
             result = {
                 "status": "success",
@@ -105,6 +116,114 @@ class TrueARF337Orchestrator:
                 "suggestion": "Check logs for details"
             }
     
+    async def execute_healing(self, scenario_name: str, mode: str = "autonomous") -> Dict[str, Any]:
+        """
+        Execute enterprise healing for a given scenario.
+        
+        Args:
+            scenario_name: Name of the scenario to heal
+            mode: Execution mode ("autonomous", "approval", "manual")
+            
+        Returns:
+            Dict with execution results
+        """
+        try:
+            # Log execution start
+            logger.info(f"⚡ Executing enterprise healing for: {scenario_name} (mode: {mode})")
+            
+            # Get the latest analysis for this scenario
+            if not self.arf_analysis_results or scenario_name not in self.arf_analysis_results:
+                # Run analysis first if not available
+                logger.warning(f"No analysis found for {scenario_name}, running analysis first")
+                await self.analyze_incident(scenario_name, {})
+            
+            # Get the analysis result
+            analysis_result = self.arf_analysis_results.get(scenario_name, {})
+            oss_analysis = analysis_result.get("oss_analysis", {})
+            
+            # Extract healing intent from analysis
+            healing_intent = {}
+            if oss_analysis and "analysis" in oss_analysis and "decision" in oss_analysis["analysis"]:
+                healing_intent = oss_analysis["analysis"]["decision"]
+            elif oss_analysis and "healing_intent" in oss_analysis:
+                healing_intent = oss_analysis["healing_intent"]
+            
+            # Simulate enterprise execution with proper boundaries
+            enterprise_result = {
+                "status": "success",
+                "mode": mode,
+                "scenario": scenario_name,
+                "execution_id": f"exe_{int(time.time())}_{scenario_name.lower().replace(' ', '_')}",
+                "timestamp": datetime.now().isoformat(),
+                "boundary": "Enterprise Simulation",
+                "enterprise_features_used": [
+                    "AutonomousExecutionEngine",
+                    "SafetyOrchestrator",
+                    "ComplianceGuardrails",
+                    "RealTimeTelemetry",
+                    "LearningEngineIntegration"
+                ],
+                "execution_summary": {
+                    "action": healing_intent.get("action", "Scale infrastructure"),
+                    "target": healing_intent.get("target", "redis_cache"),
+                    "parameters": healing_intent.get("parameters", {}),
+                    "confidence": oss_analysis.get("analysis", {}).get("decision", {}).get("confidence", 0.85) 
+                                if oss_analysis else 0.85,
+                    "estimated_duration": "12 minutes",
+                    "blast_radius": "2 services",
+                    "safety_checks_passed": True
+                },
+                "business_impact": {
+                    "mttr_reduction": "73% faster (45m → 12m)",
+                    "cost_saved": 6375,
+                    "revenue_protected": 8500,
+                    "users_protected": 45000,
+                    "incidents_prevented": 3
+                },
+                "telemetry": {
+                    "start_time": datetime.now().isoformat(),
+                    "end_time": (datetime.now() + timedelta(minutes=12)).isoformat(),
+                    "resources_affected": ["redis_node_1", "redis_node_2"],
+                    "rollback_available": True,
+                    "audit_trail_enabled": True
+                },
+                "notes": [
+                    "✅ Enterprise execution simulation complete",
+                    "🔒 Safety boundaries enforced via MCP",
+                    "📊 Real-time telemetry active",
+                    "🧠 Learning engine updated with outcome",
+                    "💾 Audit trail recorded"
+                ]
+            }
+            
+            # Record execution in audit trail if manager is available
+            if self.audit_trail_manager:
+                try:
+                    self.audit_trail_manager.record_execution(
+                        execution_id=enterprise_result["execution_id"],
+                        scenario_name=scenario_name,
+                        status="success",
+                        mode=mode,
+                        details=enterprise_result
+                    )
+                except Exception as e:
+                    logger.warning(f"Could not record execution in audit trail: {e}")
+            
+            logger.info(f"✅ Enterprise healing execution simulated for {scenario_name}")
+            return enterprise_result
+            
+        except Exception as e:
+            logger.error(f"❌ Enterprise healing execution failed: {e}")
+            return {
+                "status": "failed",
+                "error": str(e),
+                "scenario": scenario_name,
+                "mode": mode,
+                "timestamp": datetime.now().isoformat(),
+                "boundary": "Enterprise Simulation Failed",
+                "notes": ["Execution failed in simulation mode"]
+            }
+    
     async def _fallback_oss_analysis(self, scenario_name: str, scenario_data: Dict[str, Any]) -> Dict[str, Any]:
         """Fallback mock analysis"""
         try:
@@ -157,4 +276,9 @@ class TrueARF337Orchestrator:
         elif enterprise_enhancements:
             return "✅ OSS analysis complete. ⚡ Enterprise features simulated - shows upgrade value. Contact sales@arf.dev for Enterprise trial."
         else:
-            return "✅ OSS analysis complete. Install agentic-reliability-framework==3.3.7 for real advisory capabilities."
+            return "✅ OSS analysis complete. Install agentic-reliability-framework==3.3.7 for real advisory capabilities."
+    
+    def set_audit_trail_manager(self, manager):
+        """Set audit trail manager for recording executions."""
+        self.audit_trail_manager = manager
+        logger.info("✅ Audit trail manager connected to orchestrator")