from pydantic import BaseModel
from typing import Optional

class Target(BaseModel):
    theta: float
    value: float
    result: Optional[float]
    drift: float = 0.0

    @classmethod
    def max_drift(cls) -> int:
        return 0

    @classmethod
    def max_drift_increment(cls) -> int:
        return 1 # 10%

    def minimum(self) -> float:
        return self.value - (self.value * self.drift)

    def maximum(self) -> float:
        return self.value + (self.value * self.drift)