#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
预置 8 个数据集的鲁棒性评估配置路径，统一管理。

使用示例（在项目根目录）:
  # 查看支持的数据集
  python robustness_eval/robust_datasets.py --list

  # 获取某个数据集对应的配置路径
  python robustness_eval/robust_datasets.py --name cityscapes

然后可在 run_eval.sh 中设置:
  CONFIG=$(python robustness_eval/robust_datasets.py --name cityscapes)
"""

import argparse
from pathlib import Path

project_root = Path(__file__).parent.parent

# 预置 8 个数据集对应的鲁棒性配置文件（相对路径，位于 robustness_eval/configs/）
DATASET_CONFIGS = {
    "cityscapes": "robustness_eval/configs/cfg_cityscapes_robust.py",
    "coco_stuff164k": "robustness_eval/configs/cfg_coco_stuff164k_robust.py",
    "ade20k": "robustness_eval/configs/cfg_ade20k_robust.py",
    "voc20": "robustness_eval/configs/cfg_voc20_robust.py",
    "voc21": "robustness_eval/configs/cfg_voc21_robust.py",
    "context59": "robustness_eval/configs/cfg_context59_robust.py",
    "context60": "robustness_eval/configs/cfg_context60_robust.py",
    "coco_object": "robustness_eval/configs/cfg_coco_object_robust.py",
}


def resolve_config(name: str) -> Path:
    if name not in DATASET_CONFIGS:
        raise KeyError(f"未找到数据集 '{name}'，可用项: {list(DATASET_CONFIGS.keys())}")
    rel = DATASET_CONFIGS[name]
    return project_root / rel


def parse_args():
    parser = argparse.ArgumentParser(description="获取预置数据集的鲁棒性评估配置路径")
    parser.add_argument("--list", action="store_true", help="列出所有支持的数据集名称")
    parser.add_argument("--name", type=str, help="数据集名称，返回对应配置路径")
    return parser.parse_args()


def main():
    args = parse_args()
    if args.list:
        print("支持的数据集:")
        for k in DATASET_CONFIGS.keys():
            print(f"  {k}")
        return

    if args.name:
        path = resolve_config(args.name)
        print(path)
        return

    print("未指定参数。使用 --list 查看支持的数据集，或 --name <dataset>")


if __name__ == "__main__":
    main()