Start fixing forecast service API 5

services/forecasting/app/api/forecasts.py

@@ -47,7 +47,7 @@ async def create_single_forecast(
             )
         
         # Generate forecast
-        forecast = await forecasting_service.generate_forecast(tenant_id, request, db)
+        forecast = await forecasting_service.generate_forecast(request, db)
         
         # Convert to response model
         return ForecastResponse(

services/forecasting/app/main.py

@@ -108,7 +108,7 @@ async def health_check():
 @app.get("/metrics")
 async def get_metrics():
     """Metrics endpoint for Prometheus"""
-    return metrics_collector.generate_latest()
+    return metrics_collector.get_metrics()
 
 if __name__ == "__main__":
     import uvicorn

services/forecasting/app/schemas/forecasts.py

@@ -24,7 +24,12 @@ class ForecastRequest(BaseModel):
     """Request schema for generating forecasts"""
     tenant_id: str = Field(..., description="Tenant ID")
     product_name: str = Field(..., description="Product name")
-    forecast_date: date = Field(..., description="Date for which to generate forecast")
+    forecast_date: date = Field(..., description="Starting date for forecast")
+    forecast_days: int = Field(1, ge=1, le=30, description="Number of days to forecast")
+    location: str = Field(..., description="Location identifier")
+    
+    # Optional parameters - internally handled
+    confidence_level: float = Field(0.8, ge=0.5, le=0.95, description="Confidence level")
     
     @validator('forecast_date')
     def validate_forecast_date(cls, v):
@@ -37,14 +42,7 @@ class BatchForecastRequest(BaseModel):
     tenant_id: str = Field(..., description="Tenant ID")
     batch_name: str = Field(..., description="Batch name for tracking")
     products: List[str] = Field(..., description="List of product names")
-    location: str = Field(..., description="Location identifier")
     forecast_days: int = Field(7, ge=1, le=30, description="Number of days to forecast")
-    business_type: BusinessType = Field(BusinessType.INDIVIDUAL, description="Business model type")
-    
-    # Options
-    include_weather: bool = Field(True, description="Include weather data")
-    include_traffic: bool = Field(True, description="Include traffic data")
-    confidence_level: float = Field(0.8, ge=0.5, le=0.95, description="Confidence level")
 
 class ForecastResponse(BaseModel):
     """Response schema for forecast results"""

services/forecasting/app/services/forecasting_service.py

@@ -249,7 +249,7 @@ class ForecastingService:
         """Get the latest trained model for a tenant/product combination"""
         
         try:
-            model_data = await self.data_client.get_best_model_for_forecasting(tenant_id, product_name)
+            model_data = await self.model_client.get_best_model_for_forecasting(tenant_id, product_name)
             return model_data
                     
         except Exception as e:

services/notification/app/main.py

@@ -163,7 +163,7 @@ async def health_check():
 async def metrics():
     """Prometheus metrics endpoint"""
     if metrics_collector:
-        return metrics_collector.generate_latest()
+        return metrics_collector.get_metrics()
     return {"metrics": "not_available"}
 
 # Exception handlers

tests/test_onboarding_flow.sh

@@ -572,13 +572,16 @@ log_step "5.1. Testing basic dashboard functionality"
 # Use a real product name from our CSV for forecasting
 FIRST_PRODUCT=$(echo "$REAL_PRODUCTS" | sed 's/"//g' | cut -d',' -f1)
     
-FORECAST_RESPONSE=$(curl -s -X POST "$API_BASE/api/v1/tenants/$TENANT_ID/forecast/single" \
+FORECAST_RESPONSE=$(curl -s -X POST "$API_BASE/api/v1/tenants/$TENANT_ID/forecasts/single" \
     -H "Content-Type: application/json" \
     -H "Authorization: Bearer $ACCESS_TOKEN" \
     -d "{
-        \"products\": [\"$FIRST_PRODUCT\"],
-        \"forecast_days\": 7,
-        \"date\": \"2025-09-15\"
+        \"product_name\": [\"$FIRST_PRODUCT\"],
+        \"forecast_date\": "2025-11-30",
+        \"forecast_days\": 1,
+        \"date\": \"2025-09-15\",
+        \"location\": \"madrid_centro\",
+        \"confidence_level\": 0.85
         }")
     
 if echo "$FORECAST_RESPONSE" | grep -q '"predictions"\|"forecast"'; then