add new attribute to calculaiton

src/calculation_time_constrains/model.py

@@ -147,4 +147,14 @@ class CalculationEquipmentResult(Base, DefaultMixin):
     optimum_day = Column(Integer, default=1)
     is_included = Column(Boolean, default=True)
     
+    master_equipment = relationship(
+        "MasterEquipment",
+        lazy="joined",
+        primaryjoin="and_(CalculationEquipmentResult.assetnum == foreign(MasterEquipment.assetnum))",
+        uselist=False  # Add this if it's a one-to-one relationship
+    )
+    
+    
+    
+    
     

src/calculation_time_constrains/schema.py

@@ -8,6 +8,7 @@ from pydantic import Field
 from src.models import DefultBase
 from dataclasses import dataclass
 
+from src.scope_equipment.schema import MasterEquipmentBase
 
 class CalculationTimeConstrainsBase(DefultBase):
     pass
@@ -70,6 +71,8 @@ class EquipmentResult(CalculationTimeConstrainsBase):
     material_cost: float
     service_cost: float
     optimum_day: int  # Added optimum result for each equipment
+    is_included: bool
+    master_equipment: MasterEquipmentBase
 
 class CalculationTimeConstrainsRead(CalculationTimeConstrainsBase):
     id: Union[UUID, str]

src/calculation_time_constrains/service.py

@@ -58,9 +58,6 @@ def get_corrective_cost_time_chart(material_cost: float, service_cost: float, da
     # Calculate daily failure rate using sigmoid function
     daily_failure_rate = base_rate / (1 + np.exp(-acceleration * (day_points - grace_period)/days))
     
-    noise = np.random.normal(0.0, 0.05, days)  # Mean 0.0, Std Dev 0.05
-    daily_failure_rate += noise
-    
     # Calculate cumulative failures
     failure_counts = np.cumsum(daily_failure_rate)