"""
Example script for running a single-paper review.

This example is intentionally thin and delegates to the reusable
`review_single_paper_from_text` helper, which is what a Hugging Face
Space backend would call after performing PDF-to-text conversion.
"""

import json
import sys
from pathlib import Path
import logging

# Add project root to path for imports
project_root = Path(__file__).parent.parent
if str(project_root) not in sys.path:
    sys.path.insert(0, str(project_root))

from src.reviewer_agent.single_paper_inference import review_single_paper_from_text

logging.basicConfig(level=logging.INFO)
logging.getLogger("httpx").setLevel(logging.WARNING)
logger = logging.getLogger(__name__)


def main() -> None:
    """Run a minimal single-paper review using the first example paper."""
    json_path = project_root / "examples" / "example_papers.json"

    with open(json_path, "r") as f:
        data = json.load(f)

    # For demonstration we take only the first paper
    first_paper = data[0]
    paper_text = first_paper.get("paper_context", "")

    logger.info("Running single-paper review from example_papers.json...")
    review = review_single_paper_from_text(
        paper_text,
        keywords=first_paper.get("keywords"),
        # Use config defaults for review_format and verbosity
        enable_logging=True,
        verbose=False,
    )

    # Save the review content to a JSON file
    with open("review_content.json", "w") as f:
        json.dump([review], f, indent=2)

    logger.info("Review saved to review_content.json")


if __name__ == "__main__":
    main()