201 előtti mentés

backend/app/api/v1/endpoints/analytics.py

@@ -9,7 +9,7 @@ from fastapi import APIRouter, Depends, HTTPException, status
 from sqlalchemy.ext.asyncio import AsyncSession
 
 from app.api import deps
-from app.schemas.analytics import TCOSummaryResponse, TCOErrorResponse
+from app.schemas.analytics import TCOSummaryResponse, TCOErrorResponse, DashboardResponse
 from app.services.analytics_service import TCOAnalytics
 from app.models import Vehicle
 from app.models.marketplace.organization import OrganizationMember
@@ -190,6 +190,102 @@ async def get_tco_summary(
         raise
     except Exception as e:
         logger.exception(f"Unexpected error in TCO summary for vehicle {vehicle_id}: {e}")
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Internal server error: {str(e)}"
+        )
+
+
+@router.get(
+    "/dashboard",
+    response_model=DashboardResponse,
+    responses={
+        500: {"model": TCOErrorResponse, "description": "Internal server error"},
+    },
+    summary="Get dashboard analytics data",
+    description="Returns aggregated dashboard data including monthly costs, fuel efficiency trends, "
+                "and business metrics for the user's fleet."
+)
+async def get_dashboard_analytics(
+    db: AsyncSession = Depends(deps.get_db),
+    current_user = Depends(deps.get_current_active_user),
+):
+    """
+    Retrieve dashboard analytics for the user's fleet.
+    
+    This endpoint returns mock data for now, but will be connected to real
+    analytics services in the future.
+    """
+    try:
+        # For now, return mock data matching the frontend expectations
+        # In production, this would query the database and aggregate real data
+        
+        # Import the new schema
+        from app.schemas.analytics import (
+            DashboardResponse, DashboardMonthlyCost, DashboardFuelEfficiency,
+            DashboardCostPerKm, DashboardFunFacts, DashboardBusinessMetrics
+        )
+        
+        # Mock monthly costs (last 6 months)
+        monthly_costs = [
+            DashboardMonthlyCost(month="Oct", maintenance=450, fuel=320, insurance=180, total=950),
+            DashboardMonthlyCost(month="Nov", maintenance=520, fuel=310, insurance=180, total=1010),
+            DashboardMonthlyCost(month="Dec", maintenance=380, fuel=290, insurance=180, total=850),
+            DashboardMonthlyCost(month="Jan", maintenance=620, fuel=350, insurance=200, total=1170),
+            DashboardMonthlyCost(month="Feb", maintenance=410, fuel=280, insurance=180, total=870),
+            DashboardMonthlyCost(month="Mar", maintenance=480, fuel=330, insurance=180, total=990),
+        ]
+        
+        # Mock fuel efficiency trends
+        fuel_efficiency_trends = [
+            DashboardFuelEfficiency(month="Oct", efficiency=12.5),
+            DashboardFuelEfficiency(month="Nov", efficiency=12.8),
+            DashboardFuelEfficiency(month="Dec", efficiency=13.2),
+            DashboardFuelEfficiency(month="Jan", efficiency=12.9),
+            DashboardFuelEfficiency(month="Feb", efficiency=13.5),
+            DashboardFuelEfficiency(month="Mar", efficiency=13.8),
+        ]
+        
+        # Mock cost per km trends
+        cost_per_km_trends = [
+            DashboardCostPerKm(month="Oct", cost=0.42),
+            DashboardCostPerKm(month="Nov", cost=0.45),
+            DashboardCostPerKm(month="Dec", cost=0.38),
+            DashboardCostPerKm(month="Jan", cost=0.51),
+            DashboardCostPerKm(month="Feb", cost=0.39),
+            DashboardCostPerKm(month="Mar", cost=0.41),
+        ]
+        
+        # Mock fun facts
+        fun_facts = DashboardFunFacts(
+            total_km_driven=384400,
+            total_trees_saved=42,
+            total_co2_saved=8.5,
+            total_money_saved=12500,
+            moon_trips=1,
+            earth_circuits=10
+        )
+        
+        # Mock business metrics
+        business_metrics = DashboardBusinessMetrics(
+            fleet_size=24,
+            average_vehicle_age=3.2,
+            total_monthly_cost=23500,
+            average_cost_per_km=0.43,
+            utilization_rate=78,
+            downtime_hours=42
+        )
+        
+        return DashboardResponse(
+            monthly_costs=monthly_costs,
+            fuel_efficiency_trends=fuel_efficiency_trends,
+            cost_per_km_trends=cost_per_km_trends,
+            fun_facts=fun_facts,
+            business_metrics=business_metrics
+        )
+        
+    except Exception as e:
+        logger.exception(f"Unexpected error in dashboard analytics: {e}")
         raise HTTPException(
             status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
             detail=f"Internal server error: {str(e)}"