reasoning/decision.py

from schemas.models import DecisionScore


class DecisionScoreEngine:
    """Calculates Expected Value (EV) score for candidate agent actions."""

    @staticmethod
    def calculate_action_score(benefit: float, cost: float, risk: float, confidence: float, resource_usage: float) -> DecisionScore:
        ev = (benefit * (confidence / 100.0)) / (1.0 + (cost * 0.1) + (risk * 0.2) + (resource_usage * 0.1))
        return DecisionScore(
            benefit=benefit,
            cost=cost,
            risk=risk,
            confidence=confidence,
            resource_usage=resource_usage,
            expected_value=round(ev, 2),
        )