from fastapi import APIRouter, HTTPException
from loguru import logger

import config
from train.trainer import run_evaluate, _get_latest_model_path

router = APIRouter()


@router.post("", summary="모델 평가")
def evaluate(test_size: float = 0.2):
    if not _get_latest_model_path():
        raise HTTPException(
            status_code=400, detail="저장된 모델 없음. 학습 먼저 실행하세요."
        )
    logger.info(f"평가 요청 | test_size={test_size}")
    return run_evaluate(test_size)