"""Перегенерация пустых или отсутствующих summary для уже обработанных совещаний."""

import argparse
import asyncio
import json
import sys
from pathlib import Path

sys.path.insert(0, str(Path(__file__).parent.parent))

from backend.paths import PROCESSED_ROOT, MEETINGS_DIRNAME
from src.config import load_config, resolve_opencode_credentials
from src.rag.formatter import build_meeting_text_only, format_summary_markdown
from src.rag.parser import classify_meeting, generate_meeting_brief


def _summary_body(summary_path: Path) -> str:
    if not summary_path.exists():
        return ""
    text = summary_path.read_text(encoding="utf-8")
    if "## Суть" not in text:
        return ""
    return text.split("## Суть", 1)[-1].strip()


def _find_meeting_jobs(org_slug: str) -> list[dict]:
    meetings_dir = PROCESSED_ROOT / org_slug / MEETINGS_DIRNAME
    if not meetings_dir.exists():
        return []

    jobs = []
    for folder in sorted(meetings_dir.iterdir()):
        if not folder.is_dir():
            continue
        segments_files = list(folder.glob("*_segments.json"))
        if not segments_files:
            continue
        segments_path = segments_files[0]
        stem = segments_path.name[: -len("_segments.json")]
        summary_path = folder / f"{stem}_summary.md"
        jobs.append({
            "folder": folder,
            "stem": stem,
            "segments_path": segments_path,
            "summary_path": summary_path,
            "display_name": f"{stem}.webm",
        })
    return jobs


async def _regenerate_job(job: dict, config: dict, dry_run: bool) -> bool:
    body = _summary_body(job["summary_path"])
    if body:
        return False

    segments = json.loads(job["segments_path"].read_text(encoding="utf-8"))
    meeting_text = build_meeting_text_only(segments)
    rag_cfg = config.get("rag", {})
    api_key, base_url = resolve_opencode_credentials(config)

    meta_path = job["folder"] / ".project.json"
    project = "unknown"
    if meta_path.exists():
        try:
            project = json.loads(meta_path.read_text(encoding="utf-8")).get("project_slug", project)
        except Exception:
            pass

    if not api_key:
        print(f"[skip] {job['folder'].name}: нет API-ключа")
        return False

    if dry_run:
        print(f"[dry-run] {job['folder'].name}")
        return True

    sections = rag_cfg.get("sections", ["Общие вопросы"])
    metadata = await classify_meeting(
        text=meeting_text,
        project=project,
        sections=sections,
        api_key=api_key,
        base_url=base_url,
        model=rag_cfg.get("index_model", "mimo-v2.5-free"),
        chunk_size=int(rag_cfg.get("classify_chunk_size", 7000)),
    )
    brief = await generate_meeting_brief(
        text=meeting_text,
        metadata=metadata,
        api_key=api_key,
        base_url=base_url,
        model=rag_cfg.get("summary_model", "deepseek-v4-flash-free"),
        chunk_size=int(rag_cfg.get("summary_chunk_size", 10000)),
    )
    if not (brief or "").strip():
        print(f"[warn] {job['folder'].name}: LLM вернул пустой brief")
        return False

    summary_md = format_summary_markdown(metadata, brief, job["display_name"])
    job["summary_path"].write_text(summary_md, encoding="utf-8")
    print(f"[ok] {job['folder'].name} ({len(brief)} символов)")
    return True


async def main():
    parser = argparse.ArgumentParser(description="Backfill пустых summary совещаний")
    parser.add_argument("--org", default="merakom", help="org_slug")
    parser.add_argument("--dry-run", action="store_true", help="Только показать, что будет обновлено")
    args = parser.parse_args()

    config = load_config()
    jobs = _find_meeting_jobs(args.org)
    updated = 0
    for job in jobs:
        if await _regenerate_job(job, config, args.dry_run):
            updated += 1
    print(f"Готово: {updated} из {len(jobs)} совещаний")


if __name__ == "__main__":
    asyncio.run(main())