"""기존 articles 테이블에서 종목별 뉴스 매핑."""

from __future__ import annotations

import datetime as dt
import logging
import sqlite3
from typing import Any, Dict, List, Tuple

log = logging.getLogger(__name__)


def gather_articles_for_tickers(
    conn: sqlite3.Connection,
    tickers: List[str],
    asof: dt.date,
    *,
    window_days: int = 1,
    max_per_ticker: int = 5,
) -> Tuple[Dict[str, List[Dict[str, Any]]], Dict[str, int]]:
    """articles 에서 ticker.name substring 매칭으로 종목별 뉴스 dict 반환.

    Returns:
        (
          {ticker: [{"title": str, "summary": str, "press": str, "pub_date": str}, ...]},
          {"total_articles": int, "matched_pairs": int, "hit_tickers": int},
        )
    """
    out: Dict[str, List[Dict[str, Any]]] = {t: [] for t in tickers}
    stats = {"total_articles": 0, "matched_pairs": 0, "hit_tickers": 0}

    if not tickers:
        return out, stats

    cutoff = (asof - dt.timedelta(days=window_days)).isoformat()

    placeholders = ",".join("?" * len(tickers))
    name_rows = conn.execute(
        f"SELECT ticker, name FROM krx_master WHERE ticker IN ({placeholders})",
        tickers,
    ).fetchall()
    # 2글자 미만 회사명은 false positive 위험으로 제외
    name_map = {r[0]: r[1] for r in name_rows if r[1] and len(r[1]) >= 2}

    articles = conn.execute(
        "SELECT title, summary, press, pub_date, crawled_at "
        "FROM articles WHERE crawled_at >= ? ORDER BY crawled_at DESC",
        (cutoff,),
    ).fetchall()
    stats["total_articles"] = len(articles)

    for a in articles:
        title = (a[0] or "").strip()
        summary = (a[1] or "").strip()
        haystack = title + " " + summary
        for ticker, name in name_map.items():
            if name not in haystack:
                continue
            if len(out[ticker]) >= max_per_ticker:
                continue
            out[ticker].append({
                "title": title,
                "summary": summary,
                "press": a[2] or "",
                "pub_date": a[3] or "",
            })
            stats["matched_pairs"] += 1

    stats["hit_tickers"] = sum(1 for arts in out.values() if arts)
    return out, stats