Fix new services implementation 3
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@@ -56,7 +56,7 @@ async def create_enhanced_single_forecast(
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logger.info("Generating enhanced single forecast",
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tenant_id=tenant_id,
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product_name=request.product_name,
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inventory_product_id=request.inventory_product_id,
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forecast_date=request.forecast_date.isoformat())
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# Record metrics
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@@ -124,13 +124,13 @@ async def create_enhanced_batch_forecast(
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logger.info("Generating enhanced batch forecasts",
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tenant_id=tenant_id,
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products_count=len(request.products),
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forecast_dates_count=len(request.forecast_dates))
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products_count=len(request.inventory_product_ids),
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forecast_dates_count=request.forecast_days)
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# Record metrics
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if metrics:
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metrics.increment_counter("enhanced_batch_forecasts_total")
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metrics.histogram("enhanced_batch_forecast_products_count", len(request.products))
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metrics.histogram("enhanced_batch_forecast_products_count", len(request.inventory_product_ids))
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# Generate batch forecasts using enhanced service
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batch_result = await enhanced_forecasting_service.generate_batch_forecasts(
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@@ -174,7 +174,7 @@ async def create_enhanced_batch_forecast(
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@track_execution_time("enhanced_get_forecasts_duration_seconds", "forecasting-service")
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async def get_enhanced_tenant_forecasts(
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tenant_id: str = Path(..., description="Tenant ID"),
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product_name: Optional[str] = Query(None, description="Filter by product name"),
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inventory_product_id: Optional[str] = Query(None, description="Filter by inventory product ID"),
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start_date: Optional[date] = Query(None, description="Start date filter"),
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end_date: Optional[date] = Query(None, description="End date filter"),
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skip: int = Query(0, description="Number of records to skip"),
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@@ -203,7 +203,7 @@ async def get_enhanced_tenant_forecasts(
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# Get forecasts using enhanced service
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forecasts = await enhanced_forecasting_service.get_tenant_forecasts(
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tenant_id=tenant_id,
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product_name=product_name,
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inventory_product_id=inventory_product_id,
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start_date=start_date,
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end_date=end_date,
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skip=skip,
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@@ -218,7 +218,7 @@ async def get_enhanced_tenant_forecasts(
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"forecasts": forecasts,
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"total_returned": len(forecasts),
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"filters": {
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"product_name": product_name,
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"inventory_product_id": inventory_product_id,
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"start_date": start_date.isoformat() if start_date else None,
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"end_date": end_date.isoformat() if end_date else None
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},
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