Add AI insights feature

services/procurement/app/ml/price_insights_orchestrator.py

@@ -14,6 +14,7 @@ import os
 # Add shared clients to path
 sys.path.append(os.path.join(os.path.dirname(__file__), '../../../..'))
 from shared.clients.ai_insights_client import AIInsightsClient
+from shared.messaging import UnifiedEventPublisher
 
 from app.ml.price_forecaster import PriceForecaster
 
@@ -33,10 +34,12 @@ class PriceInsightsOrchestrator:
 
     def __init__(
         self,
-        ai_insights_base_url: str = "http://ai-insights-service:8000"
+        ai_insights_base_url: str = "http://ai-insights-service:8000",
+        event_publisher: Optional[UnifiedEventPublisher] = None
     ):
         self.forecaster = PriceForecaster()
         self.ai_insights_client = AIInsightsClient(ai_insights_base_url)
+        self.event_publisher = event_publisher
 
     async def forecast_and_post_insights(
         self,
@@ -107,7 +110,17 @@ class PriceInsightsOrchestrator:
             post_results = {'total': 0, 'successful': 0, 'failed': 0}
             logger.info("No insights to post for ingredient", ingredient_id=ingredient_id)
 
-        # Step 4: Return comprehensive results
+        # Step 4: Publish insight events to RabbitMQ
+        created_insights = post_results.get('created_insights', [])
+        if created_insights:
+            ingredient_context = {'ingredient_id': ingredient_id}
+            await self._publish_insight_events(
+                tenant_id=tenant_id,
+                insights=created_insights,
+                ingredient_context=ingredient_context
+            )
+
+        # Step 5: Return comprehensive results
         return {
             'tenant_id': tenant_id,
             'ingredient_id': ingredient_id,
@@ -261,6 +274,71 @@ class PriceInsightsOrchestrator:
             'bulk_opportunity_count': bulk_opportunity_count
         }
 
+    async def _publish_insight_events(self, tenant_id, insights, ingredient_context=None):
+        """
+        Publish insight events to RabbitMQ for alert processing.
+
+        Args:
+            tenant_id: Tenant identifier
+            insights: List of created insights
+            ingredient_context: Additional context about the ingredient
+        """
+        if not self.event_publisher:
+            logger.warning("No event publisher available for price insights")
+            return
+
+        for insight in insights:
+            # Determine severity based on confidence and priority
+            confidence = insight.get('confidence', 0)
+            priority = insight.get('priority', 'medium')
+
+            # Map priority to severity, with confidence as tiebreaker
+            if priority == 'critical' or (priority == 'high' and confidence >= 70):
+                severity = 'high'
+            elif priority == 'high' or (priority == 'medium' and confidence >= 80):
+                severity = 'medium'
+            else:
+                severity = 'low'
+
+            # Prepare the event data
+            event_data = {
+                'insight_id': insight.get('id'),
+                'type': insight.get('type'),
+                'title': insight.get('title'),
+                'description': insight.get('description'),
+                'category': insight.get('category'),
+                'priority': insight.get('priority'),
+                'confidence': confidence,
+                'recommendation': insight.get('recommendation_actions', []),
+                'impact_type': insight.get('impact_type'),
+                'impact_value': insight.get('impact_value'),
+                'ingredient_id': ingredient_context.get('ingredient_id') if ingredient_context else None,
+                'timestamp': insight.get('detected_at', datetime.utcnow().isoformat()),
+                'source_service': 'procurement',
+                'source_model': 'price_forecaster'
+            }
+
+            try:
+                await self.event_publisher.publish_recommendation(
+                    event_type='ai_price_forecast',
+                    tenant_id=tenant_id,
+                    severity=severity,
+                    data=event_data
+                )
+                logger.info(
+                    "Published price insight event",
+                    tenant_id=tenant_id,
+                    insight_id=insight.get('id'),
+                    severity=severity
+                )
+            except Exception as e:
+                logger.error(
+                    "Failed to publish price insight event",
+                    tenant_id=tenant_id,
+                    insight_id=insight.get('id'),
+                    error=str(e)
+                )
+
     def _generate_portfolio_summary_insight(
         self,
         tenant_id: str,

services/procurement/app/ml/supplier_insights_orchestrator.py

@@ -14,6 +14,7 @@ import os
 # Add shared clients to path
 sys.path.append(os.path.join(os.path.dirname(__file__), '../../../..'))
 from shared.clients.ai_insights_client import AIInsightsClient
+from shared.messaging import UnifiedEventPublisher
 
 from app.ml.supplier_performance_predictor import SupplierPerformancePredictor
 
@@ -28,16 +29,19 @@ class SupplierInsightsOrchestrator:
     1. Analyze supplier performance from historical orders
     2. Generate insights for procurement risk management
     3. Post insights to AI Insights Service
-    4. Provide supplier comparison and recommendations
-    5. Track supplier reliability scores
+    4. Publish recommendation events to RabbitMQ
+    5. Provide supplier comparison and recommendations
+    6. Track supplier reliability scores
     """
 
     def __init__(
         self,
-        ai_insights_base_url: str = "http://ai-insights-service:8000"
+        ai_insights_base_url: str = "http://ai-insights-service:8000",
+        event_publisher: Optional[UnifiedEventPublisher] = None
     ):
         self.predictor = SupplierPerformancePredictor()
         self.ai_insights_client = AIInsightsClient(ai_insights_base_url)
+        self.event_publisher = event_publisher
 
     async def analyze_and_post_supplier_insights(
         self,
@@ -105,7 +109,17 @@ class SupplierInsightsOrchestrator:
             post_results = {'total': 0, 'successful': 0, 'failed': 0}
             logger.info("No insights to post for supplier", supplier_id=supplier_id)
 
-        # Step 4: Return comprehensive results
+        # Step 4: Publish insight events to RabbitMQ
+        created_insights = post_results.get('created_insights', [])
+        if created_insights:
+            supplier_context = {'supplier_id': supplier_id}
+            await self._publish_insight_events(
+                tenant_id=tenant_id,
+                insights=created_insights,
+                supplier_context=supplier_context
+            )
+
+        # Step 5: Return comprehensive results
         return {
             'tenant_id': tenant_id,
             'supplier_id': supplier_id,
@@ -159,6 +173,71 @@ class SupplierInsightsOrchestrator:
 
         return enriched
 
+    async def _publish_insight_events(self, tenant_id, insights, supplier_context=None):
+        """
+        Publish insight events to RabbitMQ for alert processing.
+
+        Args:
+            tenant_id: Tenant identifier
+            insights: List of created insights
+            supplier_context: Additional context about the supplier
+        """
+        if not self.event_publisher:
+            logger.warning("No event publisher available for supplier insights")
+            return
+
+        for insight in insights:
+            # Determine severity based on confidence and priority
+            confidence = insight.get('confidence', 0)
+            priority = insight.get('priority', 'medium')
+
+            # Map priority to severity, with confidence as tiebreaker
+            if priority == 'critical' or (priority == 'high' and confidence >= 70):
+                severity = 'high'
+            elif priority == 'high' or (priority == 'medium' and confidence >= 80):
+                severity = 'medium'
+            else:
+                severity = 'low'
+
+            # Prepare the event data
+            event_data = {
+                'insight_id': insight.get('id'),
+                'type': insight.get('type'),
+                'title': insight.get('title'),
+                'description': insight.get('description'),
+                'category': insight.get('category'),
+                'priority': insight.get('priority'),
+                'confidence': confidence,
+                'recommendation': insight.get('recommendation_actions', []),
+                'impact_type': insight.get('impact_type'),
+                'impact_value': insight.get('impact_value'),
+                'supplier_id': supplier_context.get('supplier_id') if supplier_context else None,
+                'timestamp': insight.get('detected_at', datetime.utcnow().isoformat()),
+                'source_service': 'procurement',
+                'source_model': 'supplier_performance_predictor'
+            }
+
+            try:
+                await self.event_publisher.publish_recommendation(
+                    event_type='ai_supplier_recommendation',
+                    tenant_id=tenant_id,
+                    severity=severity,
+                    data=event_data
+                )
+                logger.info(
+                    "Published supplier insight event",
+                    tenant_id=tenant_id,
+                    insight_id=insight.get('id'),
+                    severity=severity
+                )
+            except Exception as e:
+                logger.error(
+                    "Failed to publish supplier insight event",
+                    tenant_id=tenant_id,
+                    insight_id=insight.get('id'),
+                    error=str(e)
+                )
+
     async def analyze_all_suppliers(
         self,
         tenant_id: str,