fix

src/calculation_time_constrains/router.py

@@ -86,12 +86,12 @@ async def get_calculation_parameters(
 @get_calculation.get(
     "/{calculation_id}", response_model=StandardResponse[CalculationTimeConstrainsRead]
 )
-async def get_calculation_results(db_session: DbSession, calculation_id, token:InternalKey):
+async def get_calculation_results(db_session: DbSession, calculation_id, token:InternalKey, include_risk_cost:int = Query(1, alias="risk_cost")):
     if calculation_id == 'default':
         calculation_id = DEFAULT_TC_ID
     
     results = await get_calculation_result(
-        db_session=db_session, calculation_id=calculation_id, token=token
+        db_session=db_session, calculation_id=calculation_id, token=token, include_risk_cost=include_risk_cost
     )
 
     return StandardResponse(

src/calculation_time_constrains/service.py

@@ -783,7 +783,7 @@ async def create_param_and_data(
     return calculationData
 
 
-async def get_calculation_result(db_session: DbSession, calculation_id: str, token):
+async def get_calculation_result(db_session: DbSession, calculation_id: str, token, include_risk_cost):
     """
     Get calculation results with improved error handling, performance, and sparepart details
     """
@@ -850,7 +850,7 @@ async def get_calculation_result(db_session: DbSession, calculation_id: str, tok
         
         loss_production_per_month = np.arange(0, total_simulation_period)
         k = 5
-        loss_exp = (plant_monthly_metrics['total_downtime'] * 660 * 500_000) * (np.exp(k * (loss_production_per_month / total_simulation_period)) - 1) / (np.exp(k) - 1)
+        loss_exp = (plant_monthly_metrics['total_downtime'] * 660 * 500_000 * include_risk_cost) * (np.exp(k * (loss_production_per_month / total_simulation_period)) - 1) / (np.exp(k) - 1)
         
         # REFERENCE_CAPACITY = 630  # or 550
         # COST_PER_MWH = 1_000_000  # rupiah