#!/usr/bin/env python3
# WithIn Us AI / gss1147 upload helper for Hugging Face datasets.
#
# Usage:
#   export HF_TOKEN=...
#   python hf_upload_dataset.py --folder . --repo_id gss1147/HyperScholar-OmniPython-50K
#
from __future__ import annotations
import argparse, os
from pathlib import Path
from huggingface_hub import create_repo, upload_folder

def main() -> None:
    p = argparse.ArgumentParser()
    p.add_argument("--repo_id", default="gss1147/HyperScholar-OmniPython-50K")
    p.add_argument("--folder", default=".")
    p.add_argument("--private", action="store_true")
    args = p.parse_args()

    token = os.getenv("HF_TOKEN")
    if not token:
        raise SystemExit("Set HF_TOKEN env var with a write-enabled token.")

    folder = Path(args.folder).resolve()
    if not folder.exists():
        raise SystemExit(f"Folder not found: {folder}")

    create_repo(args.repo_id, repo_type="dataset", exist_ok=True, private=args.private, token=token)
    upload_folder(
        repo_id=args.repo_id,
        repo_type="dataset",
        folder_path=str(folder),
        commit_message="Upload HyperScholar-OmniPython-50K (WithIn Us AI)",
        token=token,
    )
    print("Uploaded:", args.repo_id)

if __name__ == "__main__":
    main()