from datasets import load_dataset
import os
from PIL import Image   
import matplotlib.pyplot as plt


# Clearly tell it: This file belongs to the test basket.
dataset = load_dataset(
    'json', 
    data_files={'test': 'data/test.jsonl'}, 
    split='test'
)

v1_dataset = dataset.filter(lambda x: x['task'] == 4)
print(f"Total entries in V1: {len(v1_dataset)}")
if len(v1_dataset) > 0:
    print(v1_dataset[0])
    item = v1_dataset[0]
    # Concatenate the complete path: data + ground_truth (e.g. Task_Image_Mask/.../id_*.png)
    img_path = os.path.join('data', item['ground_truth'])
    
    print(f"Trying to open the image:{img_path}")
    
    if os.path.exists(img_path):
        img = Image.open(img_path)
        
        plt.figure(figsize=(6, 6))
        plt.imshow(img, cmap='gray' if img.mode == 'L' else None)
        plt.title(f"ID: {item['id']} | Task: {item['task']}")
        plt.axis('off') 
        plt.show()
    else:
        print(f"file not found {img_path}")

    
    if "image1_path" in item.keys():
        img1_path = os.path.join('data', item['image1_path'])
        print(f"Trying to open the image:{img1_path}")
        
        if os.path.exists(img1_path):
            img1 = Image.open(img1_path)
            plt.figure(figsize=(6, 6))
            plt.imshow(img1, cmap='gray' if img1.mode == 'L' else None)
            plt.title(f"ID: {item['id']} | Task: {item['task']} - Image 1")
            plt.axis('off')
            plt.show()
        else:
            print(f"file not found {img1_path}")