oh:fix number failure rate

src/calculation_time_constrains/service.py

@@ -1169,6 +1169,7 @@ class OptimumCostModel:
             total_corrective_costs = np.zeros(max_interval)
             total_preventive_costs = np.zeros(max_interval)
             total_procurement_costs = np.zeros(max_interval)
+            total_costs = np.zeros(max_interval)
             total_failures = np.zeros(max_interval)
 
             for equipment in equipments:
@@ -1204,6 +1205,7 @@ class OptimumCostModel:
                 procurement_costs = [r["procurement_cost"] for r in predicted_costs]
                 procurement_details = [r["procurement_details"] for r in predicted_costs]
                 failures = [(1-r["reliability"]) for r in predicted_costs]
+                total_costs = [r['total_cost'] for r predicted_costs]
 
                 # Pad arrays to max_interval length
                 def pad_array(arr, target_length):
@@ -1215,6 +1217,7 @@ class OptimumCostModel:
                 preventive_costs = pad_array(preventive_costs, max_interval)
                 procurement_costs = pad_array(procurement_costs, max_interval)
                 failures = pad_array(failures, max_interval)
+                total_costs = pad_array(total_costs, max_interval)
 
                 fleet_results.append(
                     CalculationEquipmentResult(  # Assuming this class exists
@@ -1231,15 +1234,17 @@ class OptimumCostModel:
                     )
                 )
 
-                # Aggregate costs using vectorized operations
+                # Aggregate costs using veoptimal_resultctorized operations
                 total_corrective_costs += np.array(corrective_costs)
                 total_preventive_costs += np.array(preventive_costs)
                 total_procurement_costs += np.array(procurement_costs)
+                total_costs += np.array(total_costs)
 
             # Calculate fleet optimal interval
-            total_costs = total_corrective_costs + total_preventive_costs + total_procurement_costs
+            # total_costs = total_corrective_costs + total_preventive_costs + total_procurement_costs
             fleet_optimal_index = np.argmin(total_costs)
 
+
             calculation.optimum_oh_day = fleet_optimal_index
             calculation.max_interval = max_interval-1