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Imporve the predicciones page

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This commit is contained in:
Urtzi Alfaro
2025-09-20 22:11:05 +02:00
parent abe7cf2444
commit 38d314e28d
14 changed files with 1659 additions and 364 deletions
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70
services/forecasting/app/api/forecasts.py
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@@ -11,8 +11,8 @@ import uuid
from app.services.forecasting_service import EnhancedForecastingService
from app.schemas.forecasts import (
ForecastRequest, ForecastResponse, BatchForecastRequest,
BatchForecastResponse
ForecastRequest, ForecastResponse, BatchForecastRequest,
BatchForecastResponse, MultiDayForecastResponse
)
from shared.auth.decorators import (
get_current_user_dep,
@@ -66,7 +66,7 @@ async def create_enhanced_single_forecast(
forecast_id=forecast.id)
return forecast
except ValueError as e:
if metrics:
metrics.increment_counter("enhanced_forecast_validation_errors_total")
@@ -89,6 +89,70 @@ async def create_enhanced_single_forecast(
)
@router.post("/tenants/{tenant_id}/forecasts/multi-day", response_model=MultiDayForecastResponse)
@track_execution_time("enhanced_multi_day_forecast_duration_seconds", "forecasting-service")
async def create_enhanced_multi_day_forecast(
request: ForecastRequest,
tenant_id: str = Path(..., description="Tenant ID"),
request_obj: Request = None,
enhanced_forecasting_service: EnhancedForecastingService = Depends(get_enhanced_forecasting_service)
):
"""Generate multiple daily forecasts for the specified period using enhanced repository pattern"""
metrics = get_metrics_collector(request_obj)
try:
logger.info("Generating enhanced multi-day forecast",
tenant_id=tenant_id,
inventory_product_id=request.inventory_product_id,
forecast_days=request.forecast_days,
forecast_date=request.forecast_date.isoformat())
# Record metrics
if metrics:
metrics.increment_counter("enhanced_multi_day_forecasts_total")
# Validate forecast_days parameter
if request.forecast_days <= 0 or request.forecast_days > 30:
raise ValueError("forecast_days must be between 1 and 30")
# Generate multi-day forecast using enhanced service
forecast_result = await enhanced_forecasting_service.generate_multi_day_forecast(
tenant_id=tenant_id,
request=request
)
if metrics:
metrics.increment_counter("enhanced_multi_day_forecasts_success_total")
logger.info("Enhanced multi-day forecast generated successfully",
tenant_id=tenant_id,
inventory_product_id=request.inventory_product_id,
forecast_days=len(forecast_result.get("forecasts", [])))
return MultiDayForecastResponse(**forecast_result)
except ValueError as e:
if metrics:
metrics.increment_counter("enhanced_multi_day_forecast_validation_errors_total")
logger.error("Enhanced multi-day forecast validation error",
error=str(e),
tenant_id=tenant_id)
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=str(e)
)
except Exception as e:
if metrics:
metrics.increment_counter("enhanced_multi_day_forecasts_errors_total")
logger.error("Enhanced multi-day forecast generation failed",
error=str(e),
tenant_id=tenant_id)
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Enhanced multi-day forecast generation failed"
)
@router.post("/tenants/{tenant_id}/forecasts/batch", response_model=BatchForecastResponse)
@track_execution_time("enhanced_batch_forecast_duration_seconds", "forecasting-service")
async def create_enhanced_batch_forecast(