"""
Use this code to unpack the h5 file to pickle files to be able to use the original preprocessing pipeline.
"""

import h5py
import pickle
from pathlib import Path


def unpack_h5(h5_path, out_dir="v1"):
    out = Path(out_dir)
    out.mkdir(exist_ok=True)

    with h5py.File(h5_path, "r") as f:
        for key in f.keys():
            g = f[key]
            d = {name: ds[:] for name, ds in g.items()}
            d["meta"] = dict(g.attrs)
            with open(out / f"{key}.pkl", "wb") as fp:
                pickle.dump(d, fp)

    print(f"Saved {len(list(out.glob('*.pkl')))} files to {out}/")


h5_file = "autorois_dataset_v1.h5"
unpack_h5(h5_file, out_dir="v1")