"""
Upload ChromaDB vector database to a Hugging Face Dataset repo.

Usage:
    python scripts/upload_vectordb.py --repo-id YOUR_USERNAME/chemical-vectordb

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

import argparse
from huggingface_hub import HfApi


def main():
    parser = argparse.ArgumentParser(description="Upload ChromaDB to HF Dataset")
    parser.add_argument(
        "--repo-id", required=True,
        help="HF dataset repo id, e.g. your-username/chemical-vectordb",
    )
    parser.add_argument(
        "--local-dir",
        default="./vector_db/content/vector_db/chroma_db",
        help="Local path to the chroma_db folder",
    )
    parser.add_argument("--private", action="store_true", help="Make the dataset private")
    args = parser.parse_args()

    api = HfApi()

    api.create_repo(repo_id=args.repo_id, repo_type="dataset", private=args.private, exist_ok=True)
    print(f"Repo ready: https://huggingface.co/datasets/{args.repo_id}")

    api.upload_folder(
        folder_path=args.local_dir,
        repo_id=args.repo_id,
        repo_type="dataset",
    )
    print(f"Upload complete! Files pushed to datasets/{args.repo_id}")


if __name__ == "__main__":
    main()