"""Extract the SEL Parquet snapshot into raw records for sel prepare.""" import argparse import hashlib import json import re import tempfile from pathlib import Path import pyarrow.parquet as pq SPLITS = ("train", "val", "test") IMAGE_EXTENSIONS = {".png", ".jpg", ".jpeg", ".webp"} def materialize(snapshot: Path, output: Path) -> None: output = output.resolve() if output.exists(): raise FileExistsError(output) output.parent.mkdir(parents=True, exist_ok=True) with tempfile.TemporaryDirectory(dir=output.parent) as temporary: root = Path(temporary) / "records" root.mkdir() for split in SPLITS: previous_index = -1 dataset = pq.ParquetFile(snapshot / "data" / f"{split}.parquet") with (root / f"{split}.jsonl").open("w", encoding="utf-8") as manifest: for batch in dataset.iter_batches(batch_size=32): for row in batch.to_pylist(): rid = row["id"] if not re.fullmatch(rf"{split}-[0-9]+", rid): raise ValueError(f"Invalid row ID: {rid}") if row["original_index"] <= previous_index or row["split"] != split: raise ValueError(f"Unexpected split or order for {rid}") previous_index = row["original_index"] directory = root / split / rid directory.mkdir(parents=True) record = json.loads(row["record_json"]) if image := row["image"]: name, data = image["path"], image["bytes"] if Path(name).name != name or Path(name).suffix not in IMAGE_EXTENSIONS: raise ValueError(f"Invalid image filename: {name}") if name != record.get("source_image"): raise ValueError(f"Image record mismatch for {rid}") if hashlib.sha256(data).hexdigest() != row["source_image_sha256"]: raise ValueError(f"Image checksum mismatch for {rid}") (directory / name).write_bytes(data) artifact = directory / "example.json" artifact.write_text(json.dumps(record, ensure_ascii=False) + "\n", encoding="utf-8") entry = { "artifact_path": artifact.relative_to(root).as_posix(), "task_id": row["task_id"], "selection_mode": row["selection_mode"], "query_first": row["query_first"], "environment_prompt": row["environment_prompt"], } manifest.write(json.dumps(entry, ensure_ascii=False) + "\n") print(f"Materialized {split}: {dataset.metadata.num_rows:,} records") root.rename(output) if __name__ == "__main__": parser = argparse.ArgumentParser(description=__doc__) parser.add_argument("snapshot", type=Path) parser.add_argument("output", type=Path) args = parser.parse_args() materialize(args.snapshot, args.output)