"""CLI entry point: python -m replayer replay ..."""

from __future__ import annotations

import argparse
import asyncio
import logging
from pathlib import Path

from .replay import ReplayConfig, replay_trace


def main() -> None:
    p = argparse.ArgumentParser(description="Trace replayer for vLLM benchmarking")
    p.add_argument("--trace", type=Path, required=True, help="Sampled trace JSONL")
    p.add_argument("--output", type=Path, required=True, help="Output metrics JSONL")
    p.add_argument("--endpoint", type=str, required=True,
                   help="vLLM server URL (e.g. http://localhost:8000)")
    p.add_argument("--model", type=str, default="default", help="Model name for API")
    p.add_argument("--concurrency-limit", type=int, default=2000,
                   help="Max concurrent HTTP requests (safety limit)")
    p.add_argument("--request-timeout", type=float, default=600.0)
    p.add_argument("--request-limit", type=int, default=None,
                   help="Limit number of requests to replay")
    p.add_argument("-v", "--verbose", action="store_true")
    args = p.parse_args()

    logging.basicConfig(
        level=logging.DEBUG if args.verbose else logging.INFO,
        format="%(asctime)s %(levelname)s %(name)s: %(message)s",
    )

    config = ReplayConfig(
        trace_path=args.trace,
        output_path=args.output,
        endpoint_url=args.endpoint.rstrip("/"),
        model_name=args.model,
        concurrency_limit=args.concurrency_limit,
        request_timeout_s=args.request_timeout,
        request_limit=args.request_limit,
    )

    results = asyncio.run(replay_trace(config))
    succeeded = sum(1 for r in results if r.error is None)
    print(f"\nDone: {succeeded}/{len(results)} requests succeeded")
    print(f"Metrics: {args.output}")
    print(f"Summary: {args.output.with_suffix('.summary.json')}")


if __name__ == "__main__":
    main()