from __future__ import annotations

import argparse
import sys
from pathlib import Path


REPO_ROOT = Path(__file__).resolve().parents[1]
SRC_ROOT = REPO_ROOT / "src"

if str(SRC_ROOT) not in sys.path:
    sys.path.insert(0, str(SRC_ROOT))

from summary_mcp.core.summary_loop import run_loop


def main() -> None:
    parser = argparse.ArgumentParser(description="Run the minimal extraction -> LLM summary -> validation loop.")
    parser.add_argument("--extracted", type=Path, required=True, help="Extracted article JSON file")
    parser.add_argument("--prompt", type=Path, required=True, help="LLM prompt template file")
    parser.add_argument("--output", type=Path, required=True, help="Target path for the final summary JSON")
    parser.add_argument("--max-retries", type=int, default=2, help="Number of repair retries after the initial attempt")
    parser.add_argument("--timeout", type=float, default=60.0, help="LLM request timeout in seconds")
    parser.add_argument("--api-key", type=str, default=None, help="LLM API key")
    parser.add_argument("--model", type=str, default=None, help="LLM model name")
    parser.add_argument("--api-url", type=str, default=None, help="LLM chat completions API URL or base URL")
    args = parser.parse_args()

    raise SystemExit(
        run_loop(
            extracted_path=args.extracted,
            prompt_path=args.prompt,
            output_path=args.output,
            max_retries=args.max_retries,
            timeout_seconds=args.timeout,
            api_key=args.api_key,
            model=args.model,
            api_url=args.api_url,
        )
    )


if __name__ == "__main__":
    main()