| """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) |
|
|
