"""
Upload MMB dataset with inline images to Hugging Face.
This will authenticate and push the dataset with Image columns.
"""
from pathlib import Path
import sys

# Add the upload script path
sys.path.insert(0, str(Path(__file__).parent.parent / "MMB-Space" / "Datasetviewer"))

from huggingface_hub import login, whoami
from scripts.upload_to_huggingface import main as upload_main

# Check if logged in
try:
    user = whoami()
    print(f"Logged in as: {user['name']}")
except Exception:
    print("Not logged in. Attempting browser login...")
    print("If browser doesn't open, get a token from: https://huggingface.co/settings/tokens")
    print("Then set environment variable: $env:HF_TOKEN='your_token'")
    try:
        login()  # Will open browser or use HF_TOKEN env var
        user = whoami()
        print(f"Logged in as: {user['name']}")
    except Exception as e:
        print(f"Login failed: {e}")
        print("\nTo authenticate manually:")
        print("1. Get token from: https://huggingface.co/settings/tokens")
        print("2. Run: $env:HF_TOKEN='your_token'")
        print("3. Then run this script again")
        sys.exit(1)

# Run the upload (use Dataset folder - change to "dataset_1k_720p_2" if needed)
csv_path = Path(__file__).parent / "Dataset" / "image_mapping_with_questions.csv"
print(f"\nUploading dataset from: {csv_path}")

# Modify sys.argv to simulate command line args
sys.argv = [
    "upload_with_images.py",
    str(csv_path),
    "--repo-id",
    "scholo/MMB_dataset"
]

upload_main()