Remove lock count (#415)

flood_adapt/object_model/interface/benefits.py

@@ -3,7 +3,7 @@
 from typing import Any, Optional, Union
 
 import pandas as pd
-from pydantic import BaseModel, validator
+from pydantic import BaseModel
 
 
 class CurrentSituationModel(BaseModel):
@@ -16,7 +16,6 @@ class BenefitModel(BaseModel):
 
     name: str
     description: Optional[str] = ""
-    lock_count: int = 0
     strategy: str
     event_set: str
     projection: str
@@ -27,13 +26,6 @@ class BenefitModel(BaseModel):
     implementation_cost: Optional[float] = None
     annual_maint_cost: Optional[float] = None
 
-    @validator("lock_count")
-    def validate_lock_count(cls, lock_count: int) -> int:
-        """Validate lock_count"""
-        if lock_count < 0:
-            raise ValueError("lock_count must be a positive integer")
-        return lock_count
-
 
 class IBenefit(ABC):
     attrs: BenefitModel

flood_adapt/object_model/interface/measures.py

@@ -51,16 +51,8 @@ class MeasureModel(BaseModel):
 
     name: str = Field(..., min_length=1)
     description: Optional[str] = ""
-    lock_count: int = 0
     type: Union[HazardType, ImpactType]
 
-    @validator("lock_count")
-    def validate_lock_count(cls, lock_count: int) -> int:
-        """Validate lock_count"""
-        if lock_count < 0:
-            raise ValueError("lock_count must be a positive integer")
-        return lock_count
-
 
 class HazardMeasureModel(MeasureModel):
     """BaseModel describing the expected variables and data types of attributes common to all impact measures"""

flood_adapt/object_model/interface/projections.py

@@ -2,7 +2,7 @@
 from abc import ABC, abstractmethod
 from typing import Any, Optional, Union
 
-from pydantic import BaseModel, validator
+from pydantic import BaseModel
 
 from flood_adapt.object_model.io.unitfulvalue import (
     UnitfulLength,
@@ -34,17 +34,9 @@ class SocioEconomicChangeModel(BaseModel):
 class ProjectionModel(BaseModel):
     name: str
     description: Optional[str] = ""
-    lock_count: int = 0
     physical_projection: PhysicalProjectionModel
     socio_economic_change: SocioEconomicChangeModel
 
-    @validator("lock_count")
-    def validate_lock_count(cls, lock_count: int) -> int:
-        """Validate lock_count"""
-        if lock_count < 0:
-            raise ValueError("lock_count must be a positive integer")
-        return lock_count
-
 
 class IProjection(ABC):
     attrs: ProjectionModel

flood_adapt/object_model/interface/scenarios.py

@@ -2,26 +2,18 @@
 from abc import ABC, abstractmethod
 from typing import Any, Optional, Union
 
-from pydantic import BaseModel, validator
+from pydantic import BaseModel
 
 
 class ScenarioModel(BaseModel):
     """BaseModel describing the expected variables and data types of a scenario"""
 
     name: str
     description: Optional[str] = ""
-    lock_count: int = 0
     event: str
     projection: str
     strategy: str
 
-    @validator("lock_count")
-    def validate_lock_count(cls, lock_count: int) -> int:
-        """Validate lock_count"""
-        if lock_count < 0:
-            raise ValueError("lock_count must be a positive integer")
-        return lock_count
-
 
 class IScenario(ABC):
     attrs: ScenarioModel

flood_adapt/object_model/interface/strategies.py

@@ -2,22 +2,14 @@
 from abc import ABC, abstractmethod
 from typing import Any, Optional, Union
 
-from pydantic import BaseModel, validator
+from pydantic import BaseModel
 
 
 class StrategyModel(BaseModel):
     name: str
     description: Optional[str] = ""
-    lock_count: int = 0
     measures: Optional[list[str]] = []
 
-    @validator("lock_count")
-    def validate_lock_count(cls, lock_count: int) -> int:
-        """Validate lock_count"""
-        if lock_count < 0:
-            raise ValueError("lock_count must be a positive integer")
-        return lock_count
-
 
 class IStrategy(ABC):
     attrs: StrategyModel