import os

import pandas as pd
import requests


def load_smithsonian_df(
    download_dir: str = "~/.objaverse_xl",
) -> pd.DataFrame:
    """Loads the Smithsonian Object Metadata dataset as a Pandas DataFrame.

    Args:
        download_dir (str, optional): Directory to download the parquet metadata file.
            Defaults to "~/.objaverse_xl".

    Returns:
        pd.DataFrame: Smithsonian Object Metadata dataset as a Pandas DataFrame with
            columns for the object "title", "url", "quality", and "file_type".
            The quality is always Medium and the file_type is always glb.
    """
    dirname = os.path.expanduser(os.path.join(download_dir, "smithsonian"))
    os.makedirs(dirname, exist_ok=True)
    filename = os.path.join(dirname, "object-metadata.parquet")

    url = "https://huggingface.co/datasets/allenai/objaverse-xl/resolve/main/smithsonian/object-metadata.parquet"
    response = requests.get(url)
    response.raise_for_status()
    with open(filename, "wb") as file:
        file.write(response.content)

    return pd.read_parquet(filename)