feat: Implement Trading Twins Autopilot with Teams integration and फैक्टर-3 overbooking logic [31988f42]

lead-engine/monitor.py

@@ -9,6 +9,13 @@ sys.path.append(os.path.dirname(__file__))
 from db import get_leads
 from enrich import refresh_ce_data
 
+# Import our new Trading Twins Orchestrator
+try:
+    from trading_twins.orchestrator import TradingTwinsOrchestrator
+except ImportError:
+    # Fallback for dev environment or missing dependencies
+    TradingTwinsOrchestrator = None
+
 # Setup logging
 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
 logger = logging.getLogger("lead-monitor")
@@ -16,6 +23,9 @@ logger = logging.getLogger("lead-monitor")
 def run_monitor():
     logger.info("Starting Lead Monitor (Polling CE for updates)...")
     
+    # Initialize Orchestrator once
+    orchestrator = TradingTwinsOrchestrator() if TradingTwinsOrchestrator else None
+    
     while True:
         try:
             leads = get_leads()
@@ -44,7 +54,24 @@ def run_monitor():
                     new_vertical = new_data.get('industry_ai') or new_data.get('vertical')
                     if new_vertical and new_vertical != 'None':
                         logger.info(f"    [SUCCESS] Analysis finished for {lead['company_name']}: {new_vertical}")
-                        # Optional: Here we could trigger the Auto-Reply generation in the future
+                        
+                        # Trigger Trading Twins Process
+                        if orchestrator:
+                            logger.info(f"    [ACTION] Triggering Trading Twins Orchestrator for {lead['company_name']}...")
+                            try:
+                                # Extract contact details safely
+                                email = lead.get('email')
+                                name = lead.get('contact_name', 'Interessent')
+                                company = lead.get('company_name', 'Ihre Firma')
+                                
+                                if email:
+                                    orchestrator.process_lead(email, name, company)
+                                else:
+                                    logger.warning(f"    [SKIP] No email address found for lead {lead['id']}")
+                            except Exception as e:
+                                logger.error(f"    [ERROR] Failed to trigger orchestrator: {e}")
+                        else:
+                            logger.warning("    [SKIP] Orchestrator not available (Import Error)")
             
         except Exception as e:
             logger.error(f"Monitor error: {e}")