"""Domain and MetricBound dataclasses."""

from __future__ import annotations

from dataclasses import dataclass, field


@dataclass
class MetricBound:
    """Per-metric weight and normalization bounds within a domain."""

    metric_name: str
    weight: float  # 0.0–1.0
    norm_min: float  # Below this → score 0 (or 1 if lower_is_better)
    norm_max: float  # Above this → score 1 (or 0 if lower_is_better)
    unit: str = ""
    lower_is_better: bool = False  # Invert scale (e.g., cost: lower = better)
    metric_id: int | None = None


@dataclass
class Domain:
    """A context frame that defines what 'good' means (e.g., urban_commuting)."""

    name: str
    description: str = ""
    metric_bounds: list[MetricBound] = field(default_factory=list)
    id: int | None = None