from __future__ import annotations import json import shutil from pathlib import Path def load_records(path: str | Path) -> list[dict]: value = json.loads(Path(path).read_text(encoding="utf-8")) if not isinstance(value, list): raise ValueError("External benchmark metadata must be a JSON array") return value def prepare_ruler( metadata_json: str | Path, videos_dir: str | Path, output_dir: str | Path, seeds: list[int], filename_template: str, ) -> dict: rows = load_records(metadata_json) source_root = Path(videos_dir) target_root = Path(output_dir) copied = 0 missing = [] for row in rows: source_id = Path(row["image_path"]).stem for seed in seeds: source = source_root / filename_template.format( id=row["id"], id06=f"{row['id']:06d}", seed=seed ) if not source.is_file(): missing.append(str(source)) continue target = target_root / f"seed_{seed}" / row["task_name"] / f"{source_id}.mp4" target.parent.mkdir(parents=True, exist_ok=True) shutil.copy2(source, target) copied += 1 return {"copied": copied, "missing": len(missing), "missing_examples": missing[:10]} def prepare_vreason( metadata_json: str | Path, videos_dir: str | Path, output_dir: str | Path, seeds: list[int], model_name: str, filename_template: str, ) -> dict: rows = load_records(metadata_json) source_root = Path(videos_dir) target_root = Path(output_dir) copied = 0 missing = [] for row in rows: original_stem = Path(row["image_path"]).stem task = row["task_name"] prefix = f"{task}_" ground_truth_id = ( original_stem[len(prefix) :] if original_stem.startswith(prefix) else original_stem ) for seed in seeds: source = source_root / filename_template.format( id=row["id"], id06=f"{row['id']:06d}", seed=seed ) if not source.is_file(): missing.append(str(source)) continue target = ( target_root / f"{task}_{model_name}_{ground_truth_id}_{seed}.mp4" ) target.parent.mkdir(parents=True, exist_ok=True) shutil.copy2(source, target) copied += 1 return {"copied": copied, "missing": len(missing), "missing_examples": missing[:10]}