import json
import os
import glob

from datasets import Dataset, Image


def main():
    workdir = "./sbu_captions"
    list_images = sorted(glob.glob(os.path.join(workdir, "**", "*.jpg"), recursive=True))

    def gen():
        for image_fn in list_images:
            js_fn = image_fn.replace(".jpg", ".json")
            with open(js_fn, "r", encoding="utf8") as reader:
                item = json.load(reader)
            for key in ["status", "error_message", "original_width", "original_height", "exif", "sha256"]:
                item.pop(key, None)
            item["image"] = image_fn
            item["filename"] = image_fn.replace(f"{workdir}/", "")
            yield item
            
    ds = Dataset.from_generator(gen)
    ds = ds.cast_column("image", Image())
    ds.save_to_disk(f"{workdir}/datasets/data/train", max_shard_size="400MB")
    return


if __name__ == "__main__":
    main()