Add forecasting demand insights trigger + fix RabbitMQ cleanup

Issue 1: Forecasting demand insights not triggered in demo workflow
- Created internal ML endpoint: /forecasting/internal/ml/generate-demand-insights
- Added trigger_demand_insights_internal() to ForecastServiceClient
- Integrated forecasting insights into demo session post-clone workflow
- Now triggers 4 AI insight types: price, safety stock, yield, + demand

Issue 2: RabbitMQ client cleanup error in procurement service
- Fixed: rabbitmq_client.close() → rabbitmq_client.disconnect()
- Added proper cleanup in exception handler
- Error: "'RabbitMQClient' object has no attribute 'close'"

Files modified:
- services/forecasting/app/api/ml_insights.py (new internal_router)
- services/forecasting/app/main.py (register internal router)
- shared/clients/forecast_client.py (new trigger method)
- services/demo_session/app/services/clone_orchestrator.py (+ demand insights)
- services/procurement/app/api/internal_demo.py (fix disconnect)

Expected impact:
- Demo sessions will now generate demand forecasting insights
- No more RabbitMQ cleanup errors in logs
- AI insights count should increase from 1 to 2-3 per session

🤖 Generated with Claude Code

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

services/demo_session/app/services/clone_orchestrator.py

@@ -968,6 +968,8 @@ class CloneOrchestrator:
         inventory_client = InventoryServiceClient(config, calling_service_name="demo-session")
         production_client = ProductionServiceClient(config, calling_service_name="demo-session")
         procurement_client = ProcurementServiceClient(config, service_name="demo-session")
+        from shared.clients.forecast_client import ForecastServiceClient
+        forecasting_client = ForecastServiceClient(config, calling_service_name="demo-session")
 
         # For professional/enterprise demos, trigger all AI insights
         if demo_account_type in ["professional", "enterprise"]:
@@ -1026,6 +1028,24 @@ class CloneOrchestrator:
                 logger.error("Failed to trigger yield insights", tenant_id=virtual_tenant_id, error=str(e))
                 results["yield_insights"] = {"error": str(e)}
 
+            # 4. Trigger demand forecasting insights
+            try:
+                logger.info("Triggering demand forecasting insights", tenant_id=virtual_tenant_id)
+                result = await forecasting_client.trigger_demand_insights_internal(virtual_tenant_id)
+                if result:
+                    results["demand_insights"] = result
+                    total_insights += result.get("insights_posted", 0)
+                    logger.info(
+                        "Demand insights generated",
+                        tenant_id=virtual_tenant_id,
+                        insights_posted=result.get("insights_posted", 0)
+                    )
+                else:
+                    results["demand_insights"] = {"error": "No response from service"}
+            except Exception as e:
+                logger.error("Failed to trigger demand insights", tenant_id=virtual_tenant_id, error=str(e))
+                results["demand_insights"] = {"error": str(e)}
+
         # Wait 2s for insights to be processed
         await asyncio.sleep(2.0)