load.py

import os
import requests
from PIL import Image
import json

def download_image_with_retries(image_url, output_file):
    try:
        response = requests.get(image_url, stream=True, timeout=5)
        if response.status_code == 200:
            with open(output_file, 'wb') as out_file:
                for chunk in response.iter_content(1024):
                    out_file.write(chunk)
            return True
    except requests.RequestException as e:
        print(f"Download failed: {e}")
    return False

def convert_to_jpg(input_path, output_path):
    try:
        with Image.open(input_path) as img:
            # Convert image to RGB to ensure compatibility if original is in a different mode (e.g., RGBA, P)
            rgb_img = img.convert('RGB')
            rgb_img.save(output_path, 'JPEG')
        os.remove(input_path)  # Remove the original image file after conversion
        return True
    except Exception as e:
        print(f"Error converting image to JPG: {e}")
        return False

def verify_and_download_images(data):
    images_directory = './images'
    os.makedirs(images_directory, exist_ok=True)

    for key, value in data.items():
        image_url = value['imageURL']
        ext = os.path.splitext(image_url)[1].lower()  # Ensure extension is in lowercase for comparison
        needs_conversion = ext in ['.gif', '.png']
        output_ext = '.jpg' if needs_conversion else ext
        output_file = f'{images_directory}/{key}{output_ext}'

        if not os.path.exists(output_file):
            print(f"Image {key}{output_ext} not found, attempting to download...")
            temp_output_file = output_file if not needs_conversion else f'{images_directory}/{key}{ext}'
            if not download_image_with_retries(image_url, temp_output_file):
                print(f"Warning: Could not download image {image_url}")
            elif needs_conversion:
                # Convert image to JPG
                if not convert_to_jpg(temp_output_file, output_file):
                    print(f"Warning: Could not convert image to JPG for image {image_url}")

# Load the dataset JSON file (assuming you have a dataset.json file in the same directory)
with open('dataset.json', 'r') as fp:
    data = json.load(fp)

# Check and download images as necessary
verify_and_download_images(data)