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@ -809,21 +809,21 @@ async def get_calculation_result(db_session: DbSession, calculation_id: str, tok
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'critical_procurement_items': 0
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}
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plant_monthly_metrics = await plant_simulation_metrics(simulation_id=scope_calculation.rbd_simulation_id, location_tag="plant", use_location_tag=0, token=token, last_oh_date=prev_oh_scope.end_date, max_interval=scope_calculation.max_interval)
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# plant_monthly_metrics = await plant_simulation_metrics(simulation_id=scope_calculation.rbd_simulation_id, location_tag="plant", use_location_tag=0, token=token, last_oh_date=prev_oh_scope.end_date, max_interval=scope_calculation.max_interval)
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REFERENCE_CAPACITY = 630 # or 550
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COST_PER_MWH = 1_000_000 # rupiah
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# REFERENCE_CAPACITY = 630 # or 550
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# COST_PER_MWH = 1_000_000 # rupiah
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plant_capacity_loss_money = [metrics['derated_mwh'] * COST_PER_MWH for metrics in plant_monthly_metrics.values()]
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# cumulative_loss_money = np.cumsum(plant_capacity_loss_money)
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# plant_capacity_loss_money = [metrics['derated_mwh'] * COST_PER_MWH for metrics in plant_monthly_metrics.values()]
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# # cumulative_loss_money = np.cumsum(plant_capacity_loss_money)
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# raise Exception(plant_monthly_metrics)
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# # raise Exception(plant_monthly_metrics)
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# Process each monthself
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for month_index in range(data_num):
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month_result = {
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"overhaul_cost": 0.0,
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"corrective_cost": plant_capacity_loss_money[month_index],
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"corrective_cost": 0.0,
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"procurement_cost": 0.0,
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"num_failures": 0.0,
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"day": month_index + 1,
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