from pathlib import Path

import pandas as pd
import torch
import ujson
import webdataset as wds
from tqdm import tqdm


def load_json(json):
    return ujson.loads(json)


load_map = {
    'json': load_json,
}


def get_glob(path):
    return sorted(Path('.').absolute().glob(path))


def chunker(l, n):
    for i in range(0, len(l), n):
        yield l[i:i + n]


def func(glob_path, combine_all=True):
    glob = get_glob(glob_path)

    for file in tqdm(glob, position=0):
        ds = wds.WebDataset(str(file)).map_dict(**load_map).to_tuple('json')

        metas = pd.DataFrame([meta[0]
                             for meta in tqdm(ds, position=1, leave=False)])

        metas.to_parquet(f'{file.stem}.parquet')

    if combine_all:
        combined = pd.concat(pd.read_parquet(
            f'{file.stem}.parquet') for file in tqdm(glob))
        combined.to_parquet('combined_meta.parquet')