from __future__ import annotations

import argparse
import json

from common import load_config
from dynafall.train_eval import evaluate_checkpoint


def main() -> None:
    ap = argparse.ArgumentParser()
    ap.add_argument("--dataset", required=True)
    ap.add_argument("--method", required=True)
    ap.add_argument("--checkpoint", default=None)
    ap.add_argument("--split", default="test")
    ap.add_argument("--robustness", default="clean")
    ap.add_argument("--missing-amount", type=float, default=0.0)
    ap.add_argument("--tag", default=None)
    ap.add_argument("--config", default="configs/default.yaml")
    ap.add_argument("--processed-dataset", default=None)
    ap.add_argument("--out-dir", default=None)
    args = ap.parse_args()
    result = evaluate_checkpoint(
        args.dataset,
        args.method,
        load_config(args.config),
        checkpoint=args.checkpoint,
        split=args.split,
        robustness=args.robustness,
        missing_amount=args.missing_amount,
        tag=args.tag,
        processed_dataset=args.processed_dataset,
        out_dir=args.out_dir,
    )
    print(json.dumps(result, indent=2))


if __name__ == "__main__":
    main()