#!/usr/bin/env python3
"""抽取智能体派发入口（阶段 F 第二部分）。

真实模型调用必须显式授权并显式给出 provider/model：
.venv/bin/python .agent/skills/extract-chapter-knowledge/scripts/extract_via_dispatch.py 12 3 \
  --provider catproxy-anthropic --model claude-opus-5 --thinking medium
"""
from __future__ import annotations

import argparse
import json
import sys
from pathlib import Path

SCRIPT_DIR = Path(__file__).resolve().parent
if str(SCRIPT_DIR) not in sys.path:
    sys.path.insert(0, str(SCRIPT_DIR))

from dispatch_extraction_bridge import run_extraction_via_dispatch  # noqa: E402

REPO_ROOT = SCRIPT_DIR.parents[3]


def main(argv: list[str] | None = None) -> int:
    parser = argparse.ArgumentParser(description="派发抽取智能体做章后知识抽取（知识链）")
    parser.add_argument("work_id", type=int)
    parser.add_argument("chapter_order", type=int)
    parser.add_argument("--provider", required=True)
    parser.add_argument("--model", required=True)
    parser.add_argument("--thinking", default=None)
    parser.add_argument("--run-id", default=None)
    args = parser.parse_args(argv)

    summary = run_extraction_via_dispatch(
        args.work_id,
        args.chapter_order,
        repo_root=REPO_ROOT,
        provider=args.provider,
        model=args.model,
        thinking=args.thinking,
        run_id=args.run_id,
        spec_dir=REPO_ROOT / "docs" / "write-chapter" / "artifacts",
    )
    print(json.dumps(
        {k: v for k, v in summary.items() if k != "lesson"},
        ensure_ascii=False, default=str,
    ))
    print(f"RUN_ID={summary['run_id']}")
    print("知识草稿已落库（草稿态）；经经验确认通道 :8766 人审后才转正。")
    return 0


if __name__ == "__main__":
    raise SystemExit(main())