import pandas as pd
import logging
from typing import Dict, Any, Optional
import requests
from app.datasets.BaseDatasetLoader import BaseDatasetLoader
import os
import zipfile
import io
import logging
from app.datasets.BaseDatasetLoader import BaseDatasetLoader


logger = logging.getLogger(__name__)

class ConcreteCrackDataset_GROK3Dataset(BaseDatasetLoader):
    def get_dataset_info(self) -> Dict[str, Any]:
        return {
            'name': 'ConcreteCrackDataset_GROK3',
            'source_id': 'mendeley:concrete_crack_images',
            'category': 'models/binary_classification',
            'industry': 'construction',
            'description': 'Concrete Crack Images for Classification: A dataset of images of concrete surfaces labeled as cracked or non-cracked for binary classification. Contains 40,000 images (20,000 per class).',
            'source_url': 'https://data.mendeley.com/public-files/productions/5a1e30fe-7b10-4589-82b1-73e4c2d5e6e9/file-5a1e30fe-7b10-4589-82b1-73e4c2d5e6e9?dl=true',
            'format': 'zip',
            'target_column': 'label'
        }

    def download_dataset(self, info: Dict[str, Any]):
        """Download dataset - raises error as this is an image dataset incompatible with tabular pipeline"""
        raise RuntimeError(
            f"[{info['name']}] This dataset contains 40,000 images and is incompatible with the tabular data pipeline. "
            "Image datasets require specialized image processing pipelines and cannot be converted to tabular format. "
            "Please use this dataset with an image classification framework instead."
        )

    def process_dataframe(self, df: pd.DataFrame, info: Dict[str, Any]) -> pd.DataFrame:
        """Process dataset - raises error as this is an image dataset"""
        raise RuntimeError(
            f"[{info['name']}] This dataset contains images and cannot be processed as tabular data. "
            "Image datasets require specialized image processing pipelines."
        )