"""每日热点数据采集：核心股前100 + 题材涨幅前10，收盘后自动入库

由 main.lifespan 启动后台任务；幂等（按交易日 UNIQUE 去重）。
"""

import asyncio
import traceback
from datetime import datetime, time as dtime, timezone, timedelta
from typing import Optional

from database import get_connection
from services.themes import fetch_theme_list

_CST = timezone(timedelta(hours=8))

# 每天采集的后台任务：每 300 秒（5 分钟）检查一次
CHECK_INTERVAL_SECONDS = 300
COLLECT_AFTER_TIME = dtime(15, 0)  # 收盘后 15:00 开始允许采集
CORE_STOCK_LIMIT = 100  # 核心股前100
TOP_THEME_LIMIT = 10   # 题材前10


def _is_trading_day(d: datetime) -> bool:
    """仅按工作日判断：周一至周五视为交易日，不处理法定节假日"""
    return d.weekday() < 5


def _has_collected(trade_date: str) -> bool:
    """当日核心股是否已采集"""
    conn = get_connection()
    try:
        row = conn.execute(
            "SELECT 1 FROM daily_core_stocks WHERE trade_date = ? LIMIT 1",
            (trade_date,),
        ).fetchone()
        return row is not None
    finally:
        conn.close()


async def collect_daily(trade_date: str, dry_run: bool = False) -> dict:
    """采集指定交易日数据并入库。

    Args:
        trade_date: YYYY-MM-DD
        dry_run: True 只打印不写库（用于验证）

    Returns:
        {"core_count": int, "theme_count": int, "skipped": bool}
    """
    if _has_collected(trade_date):
        print(f"[collector] {trade_date} 已采集，跳过")
        return {"core_count": 0, "theme_count": 0, "skipped": True}

    # 1. 拉取全部题材列表（含领涨股，作为当日全部股票的采样来源）
    themes = await fetch_theme_list(1, False)
    if not themes:
        print(f"[collector] {trade_date} 题材列表为空（东财失败），跳过")
        return {"core_count": 0, "theme_count": 0, "skipped": True}

    # 2. 核心股前100：按领涨股 f3 降序，去重（同一股票可能是多个题材领涨股）
    stock_map: dict[str, dict] = {}
    for t in themes:
        code = t.get("securityCode")
        if not code:
            continue
        if code not in stock_map or (t.get("f3") or 0) > (stock_map[code].get("f3") or 0):
            stock_map[code] = {
                "stock_code": code,
                "stock_name": t.get("securityName", ""),
                "f3": t.get("f3"),
            }
    core_stocks = sorted(
        stock_map.values(), key=lambda x: -(x["f3"] or 0)
    )[:CORE_STOCK_LIMIT]

    # 3. 题材前10：bf3 降序
    top_themes = sorted(themes, key=lambda x: -(x.get("bf3") or 0))[:TOP_THEME_LIMIT]

    if dry_run:
        print(f"[collector] {trade_date} 核心股 {len(core_stocks)} 只，题材前10 {len(top_themes)} 只")
        return {"core_count": len(core_stocks), "theme_count": len(top_themes), "skipped": False}

    # 4. 入库（事务，UNIQUE 幂等）
    conn = get_connection()
    try:
        for i, s in enumerate(core_stocks, start=1):
            conn.execute(
                "INSERT OR IGNORE INTO daily_core_stocks (trade_date, stock_code, stock_name, f3, rank) VALUES (?,?,?,?,?)",
                (trade_date, s["stock_code"], s["stock_name"], s["f3"], i),
            )
        # 核心股所属题材：从 themes 列表（含 securityCode/themeCode/themeName）中
        # 为每个核心股收集其全部所属题材，写入 daily_core_stock_themes
        core_codes = {s["stock_code"] for s in core_stocks}
        for t in themes:
            if t.get("securityCode") in core_codes:
                conn.execute(
                    "INSERT OR IGNORE INTO daily_core_stock_themes (trade_date, stock_code, theme_code, theme_name) VALUES (?,?,?,?)",
                    (trade_date, t["securityCode"], t["themeCode"], t["themeName"]),
                )
        for i, t in enumerate(top_themes, start=1):
            conn.execute(
                "INSERT OR IGNORE INTO daily_top_themes (trade_date, theme_code, theme_name, bf3, hot_rank, rank) VALUES (?,?,?,?,?,?)",
                (trade_date, t["themeCode"], t["themeName"], t.get("bf3"), t.get("hotRank"), i),
            )
        conn.commit()
    finally:
        conn.close()

    print(f"[collector] {trade_date} 已采集：核心股 {len(core_stocks)} 只，题材前10 {len(top_themes)} 只")
    return {"core_count": len(core_stocks), "theme_count": len(top_themes), "skipped": False}


async def collector_loop(stop: Optional[asyncio.Event] = None) -> None:
    """后台循环：每个交易日 15:00 后自动采集当日数据（幂等）"""
    while True:
        try:
            now = datetime.now(_CST)
            if _is_trading_day(now) and now.time() >= COLLECT_AFTER_TIME:
                trade_date = now.strftime("%Y-%m-%d")
                if not _has_collected(trade_date):
                    await collect_daily(trade_date)
        except Exception:
            print("[collector] 采集异常：")
            traceback.print_exc()
        if stop is not None and stop.is_set():
            break
        await asyncio.sleep(CHECK_INTERVAL_SECONDS)