#!/usr/bin/env python3
"""Upload staged CausalBN-Bench dataset to Hugging Face Datasets.

Usage:
    python scripts/upload_to_hf.py your-org/CausalBN-Bench

Prerequisites:
    pip install -U huggingface_hub
    huggingface-cli login
"""

from __future__ import annotations

import os
from pathlib import Path
import sys

from huggingface_hub import HfApi, create_repo


def main() -> None:
    if len(sys.argv) != 2 or sys.argv[1] in {"-h", "--help"}:
        raise SystemExit("Usage: python scripts/upload_to_hf.py your-org/CausalBN-Bench")

    repo_id = sys.argv[1]
    folder_path = Path(__file__).resolve().parents[1]

    os.environ.setdefault("HF_XET_HIGH_PERFORMANCE", "1")
    os.environ.setdefault("HF_XET_CACHE", f"/tmp/hf_xet_cache_{os.environ.get('USER', 'user')}")

    create_repo(repo_id=repo_id, repo_type="dataset", exist_ok=True)

    api = HfApi()
    if hasattr(api, "upload_large_folder"):
        api.upload_large_folder(
            repo_id=repo_id,
            repo_type="dataset",
            folder_path=str(folder_path),
        )
    else:
        api.upload_folder(
            repo_id=repo_id,
            repo_type="dataset",
            folder_path=str(folder_path),
            commit_message="Initial CausalBN-Bench dataset release",
        )

    print(f"Uploaded {folder_path} to https://huggingface.co/datasets/{repo_id}")


if __name__ == "__main__":
    main()