"""Shared fast-loop evaluation labels and explicit score projections."""

from __future__ import annotations

from typing import Literal

Appropriateness = Literal["pos", "warn", "neutral"]
APPROPRIATENESS_VALUES: tuple[Appropriateness, ...] = ("pos", "warn", "neutral")

# Persistence uses the rubric's 1..5 scale. Keep this projection distinct from
# the learner-growth 0..1 normalization below.
PERSISTED_APPROPRIATENESS_SCORE_5PT: dict[Appropriateness, float] = {
    "warn": 1.0,
    "neutral": 3.0,
    "pos": 5.0,
}

# ``neg`` is retained only for legacy stored evaluations; current evaluator
# output is restricted to APPROPRIATENESS_VALUES.
GROWTH_APPROPRIATENESS_SCORE_01: dict[str, float] = {
    "neg": 0.0,
    "warn": 0.25,
    "neutral": 0.5,
    "pos": 1.0,
}