import copy
import json
import os
import pandas as pd
from glob import glob
import datasets
from datasets import load_dataset

_CITATION = """\

"""
_DESCRIPTION = """\

"""
_LICENSE = "GNU General Public License v3.0"
_SPLITS = ["train", "test"]

#Your zip url
_URL = "https://huggingface.co/datasets/Dodon/Corrosion/blob/main/original-20231018T064149Z-001.zip"

class CorrisonData(datasets.GeneratorBasedBuilder):
    
    def _info(self):
        features = datasets.Features(
            {
                "imgname": datasets.Value("string"),
                "image": datasets.Image(),
                "label": datasets.Value("int64")
            }
        )

        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=features,
            supervised_keys=None,
            license=_LICENSE,
        )

    def _split_generators(self, dl_manager):
        downloaded_file = dl_manager.download_and_extract(_URL) + "/original"
        
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={
                    "label_path": downloaded_file + "/Train/json",
                    "images_path": downloaded_file + "/Train/images",
                },
            ),
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={
                    "label_path": downloaded_file + "/Test/json",
                    "images_path": downloaded_file + "/Test/images",
                },
            ),
        ]

    def _generate_examples(self, label_path:str, images_path: str):
        idx = 0
        for json_path in glob(os.path.join(label_path, '/*.json')):
            fname = os.path.basename(json_path).split('.')[0]

            with open(json_path) as f:
                data = json.load(f)
                print(os.path.join(images_path,fname+'.jpeg'))   
                yield {"imgname": fname, "image": os.path.join(images_path,fname+'.jpeg'), "label": np.max([int(a['label'][:1]) for a in data['shapes']])}