Add POI feature and imporve the overall backend implementation

services/forecasting/app/ml/predictor.py

@@ -52,6 +52,10 @@ class BakeryForecaster:
         self.predictor = BakeryPredictor(database_manager)
         self.use_enhanced_features = use_enhanced_features
 
+        # Initialize POI feature service
+        from app.services.poi_feature_service import POIFeatureService
+        self.poi_feature_service = POIFeatureService()
+
         if use_enhanced_features:
             # Import enhanced data processor from training service
             import sys
@@ -167,11 +171,24 @@ class BakeryForecaster:
                     'pressure': [features.get('pressure', 1013.0)]
                 })
 
+                # Fetch POI features if tenant_id is available
+                poi_features = None
+                if 'tenant_id' in features:
+                    poi_features = await self.poi_feature_service.get_poi_features(
+                        features['tenant_id']
+                    )
+                    if poi_features:
+                        logger.info(
+                            f"Retrieved {len(poi_features)} POI features for prediction",
+                            tenant_id=features['tenant_id']
+                        )
+
                 # Use data processor to create ALL enhanced features
                 df = await self.data_processor.prepare_prediction_features(
                     future_dates=future_dates,
                     weather_forecast=weather_df,
                     traffic_forecast=None,  # Will add when traffic forecasting is implemented
+                    poi_features=poi_features,  # POI features for location-based forecasting
                     historical_data=historical_data  # For lagged features
                 )