import collections
import json
import os
import datasets


_HOMEPAGE = "https://huggingface.co/datasets/aidystark/FOOTNET40k"
_LICENSE = "CC BY 4.0"

#_NAMES = ["Dressing Shoe", "Crocs", "Heels", "Sneakers", "Boot", "Sandals"]
#_ANNOTATION_FILENAME = "_annotations.coco.json"


class FOOT40KConfig(datasets.BuilderConfig):
    """Builder Config for FOOT40K"""
 
    def __init__(self, data_url, **kwargs):# metadata_url, **kwargs):
        """BuilderConfig for FOOT40K.
        Args:
          data_url: `string`, url to download the zip file from.
          metadata_url:
          **kwargs: keyword arguments forwarded to super.
        """
        super(FOOT40KConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
        self.data_url = data_url
        #self.metadata_url = metadata_url

class FOOT40K(datasets.GeneratorBasedBuilder):
    """FOOT40K Images dataset"""
 
    BUILDER_CONFIGS = [
        FOOT40KConfig(
            name="shoe_all",
            description="Shoe Data.",
            data_url="https://huggingface.co/datasets/aidystark/FOOT40K/resolve/main/FOOT40k.tar.gz?download=true",
            #metadata_url = "https://huggingface.co/datasets/aidystark/FOOT40K/resolve/main/foot40k.json?download=true", 
            
        ),

    ]

    def _info(self):
      return datasets.DatasetInfo(
          features=datasets.Features(
              {
                  "image": datasets.Image(),
                  #"Label": datasets.Value("string"),
              }
          ),
          homepage=_HOMEPAGE,
          license=_LICENSE,
)
  
    def _split_generators(self, dl_manager):
      
        #archive_path = dl_manager.download(self.config.data_url)
        #image_iters = dl_manager.iter_archive(archive_path)
        #metadata_path = dl_manager.download(self.config.metadata_url)
        return [
              datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={
                    "images": dl_manager.iter_archive(dl_manager.download(self.config.data_url)),
                    #"images": image_iters,#"metadata_path": metadata_path,
                },
            ),

        ]


    def _generate_examples(self, images ):  #, metadata_path):
        for file_path, file_obj in images:
            yield file_path, {
                    "image": {"path": file_path, "bytes": file_obj.read()},
                    #"solution": Path(file_path).name.split('.')[0],
                }
      
      #idx = 0  
      #with open(metadata_path, "r") as f:
      #    filename_to_label = json.load(f)
      #labels = [item["Label"] for item in filename_to_label]      
      #for filepath, image in images:
      #    yield idx, {
      #        "image": {"path": filepath, "bytes": image.read()},
      #        #"label": labels[idx],
      #    }

      #    idx += 1