Download scripts/download_tool.py from dongdongunique/openart-tools: direct link, hf CLI and curl.
- Browser
- Download file 1.46 kB
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https://huggingface.co/datasets/dongdongunique/openart-tools/resolve/main/scripts/download_tool.py
- Command line
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hf download hf://datasets/dongdongunique/openart-tools/scripts/download_tool.py
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curl -L -o download_tool.py https://huggingface.co/datasets/dongdongunique/openart-tools/resolve/main/scripts/download_tool.py
1.46 kB
| #!/usr/bin/env python3 | |
| from __future__ import annotations | |
| import argparse | |
| import json | |
| import zipfile | |
| from pathlib import Path | |
| import pyarrow.parquet as pq | |
| def main() -> int: | |
| parser = argparse.ArgumentParser(description="Extract one OpenART tool from a local dataset clone.") | |
| parser.add_argument("--dataset-dir", required=True) | |
| parser.add_argument("--tool-id", required=True) | |
| parser.add_argument("--output-dir", required=True) | |
| args = parser.parse_args() | |
| dataset = Path(args.dataset_dir) | |
| rows = pq.read_table(dataset / "data" / "tools" / "metadata-00000.parquet").to_pylist() | |
| match = next((row for row in rows if row["tool_id"] == args.tool_id), None) | |
| if match is None: | |
| raise SystemExit(f"tool not found: {args.tool_id}") | |
| archive_path = dataset / match["bundle_path"] | |
| prefix = match["bundle_member_prefix"].rstrip("/") + "/" | |
| out = Path(args.output_dir) | |
| out.mkdir(parents=True, exist_ok=True) | |
| with zipfile.ZipFile(archive_path) as archive: | |
| for member in archive.namelist(): | |
| if not member.startswith(prefix) or member.endswith("/"): | |
| continue | |
| target = out / member[len(prefix):] | |
| target.parent.mkdir(parents=True, exist_ok=True) | |
| target.write_bytes(archive.read(member)) | |
| print(json.dumps({"output_dir": str(out), "tool_id": args.tool_id}, sort_keys=True)) | |
| return 0 | |
| if __name__ == "__main__": | |
| raise SystemExit(main()) | |