import argparse
import json
from collections import defaultdict
from pathlib import Path


def build_manifest_lookup(dataset_root: Path) -> dict[tuple[str, int], list[dict]]:
    lookup: dict[tuple[str, int], list[dict]] = defaultdict(list)
    for split in ["train", "val", "test"]:
        with open(dataset_root / f"{split}.json", "r") as f:
            rows = json.load(f)
        for row in rows:
            lookup[(row["video_path"], row["clip_index"])].append(
                {
                    "split": split,
                    "id": row["id"],
                    "label": row["label"],
                }
            )
    return lookup


def parse_args() -> argparse.Namespace:
    parser = argparse.ArgumentParser(description="Inspect Camera Motion benchmark rows.")
    parser.add_argument("--dataset-root", type=Path, required=True, help="Folder containing the staged HF dataset files.")
    parser.add_argument("--show", type=int, default=3, help="Number of benchmark rows to print.")
    return parser.parse_args()


def main() -> None:
    args = parse_args()
    benchmark_path = args.dataset_root / "cam-motion.jsonl"
    lookup = build_manifest_lookup(args.dataset_root)

    with open(benchmark_path, "r") as f:
        for index, line in enumerate(f):
            row = json.loads(line)
            matches = lookup.get((row["video"], row["clip_index"]), [])
            print(
                json.dumps(
                    {
                        "index": index,
                        "video": row["video"],
                        "clip_index": row["clip_index"],
                        "question": row["conversations"][0]["value"],
                        "answer": row["conversations"][1]["value"],
                        "manifest_matches": matches,
                    },
                    indent=2,
                )
            )
            if index + 1 >= args.show:
                break


if __name__ == "__main__":
    main()