import fiftyone as fo
import datasets
import os
import PIL


def _get_extension(image):
    if isinstance(image, PIL.PngImagePlugin.PngImageFile):
        return ".png"
    elif isinstance(image, PIL.JpegImagePlugin.JpegImageFile):
        return ".jpg"
    else:
        return "web"


def _get_download_dir():
    download_dir = os.path.join(
        fo.config.default_dataset_dir, "huggingface", "hub", "jamarks/pokemon_copy"
    )

    if not os.path.exists(download_dir):
        os.makedirs(download_dir)

    return download_dir


def convert_to_fiftyone(hf_dataset):
    dataset = fo.Dataset(name="pokemon-blip-captions", persistent=True, overwrite=True)

    splits = ["train"]
    download_dir = _get_download_dir()

    for split in splits:
        samples = []
        for i, item in enumerate(hf_dataset[split]):
            img = item["image"]
            ext = _get_extension(img)
            fp = os.path.join(download_dir, f"{split}_{i}{ext}")
            if not os.path.exists(fp):
                img.save(fp)

            sample_dict = {
                "filepath": fp,
                "tags": [split],
                "text": item["text"],
            }

            sample = fo.Sample(**sample_dict)
            samples.append(sample)

        dataset.add_samples(samples)

    return dataset