Add frontend procurement implementation 2

shared/clients/forecast_client.py

@@ -5,6 +5,7 @@ Handles all API calls to the forecasting service
 """
 
 from typing import Dict, Any, Optional, List
+from datetime import date
 from .base_service_client import BaseServiceClient
 from shared.config.base import BaseServiceSettings
 
@@ -100,6 +101,7 @@ class ForecastServiceClient(BaseServiceClient):
         model_id: str,
         target_date: str,
         features: Dict[str, Any],
+        inventory_product_id: Optional[str] = None,
         **kwargs
     ) -> Optional[Dict[str, Any]]:
         """Create a real-time prediction"""
@@ -109,7 +111,42 @@ class ForecastServiceClient(BaseServiceClient):
             "features": features,
             **kwargs
         }
-        return await self.post("predictions", data=data, tenant_id=tenant_id)
+        
+        # Add inventory_product_id if provided (required by forecasting service)
+        if inventory_product_id:
+            data["inventory_product_id"] = inventory_product_id
+            
+        return await self.post("forecasts/single", data=data, tenant_id=tenant_id)
+    
+    async def create_single_forecast(
+        self,
+        tenant_id: str,
+        inventory_product_id: str,
+        forecast_date: date,
+        location: str = "default",
+        forecast_days: int = 1,
+        confidence_level: float = 0.8,
+        **kwargs
+    ) -> Optional[Dict[str, Any]]:
+        """Create a single product forecast using new API format"""
+        from datetime import date as date_type
+        
+        # Convert date to string if needed
+        if isinstance(forecast_date, date_type):
+            forecast_date_str = forecast_date.isoformat()
+        else:
+            forecast_date_str = str(forecast_date)
+        
+        data = {
+            "inventory_product_id": inventory_product_id,
+            "forecast_date": forecast_date_str,
+            "forecast_days": forecast_days,
+            "location": location,
+            "confidence_level": confidence_level,
+            **kwargs
+        }
+        
+        return await self.post("forecasts/single", data=data, tenant_id=tenant_id)
     
     # ================================================================
     # FORECAST VALIDATION & METRICS