118 lines
4.5 KiB
Python
118 lines
4.5 KiB
Python
"""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
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由 main.lifespan 启动后台任务；幂等（按交易日 UNIQUE 去重）。
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"""
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import asyncio
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from datetime import datetime, time as dtime, timezone, timedelta
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from typing import Optional
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from database import get_connection
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from services.themes import fetch_theme_list
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_CST = timezone(timedelta(hours=8))
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# 每天采集的后台任务：每 CHECK_INTERVAL 分钟检查一次
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CHECK_INTERVAL_SECONDS = 300
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COLLECT_AFTER_TIME = dtime(15, 0) # 收盘后 15:00 开始允许采集
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CORE_STOCK_LIMIT = 100 # 核心股前100
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TOP_THEME_LIMIT = 10 # 题材前10
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def _is_trading_day(d: datetime) -> bool:
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"""周一至周五视为交易日（与 themes._is_trading_time 一致，不处理法定节假日）"""
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return d.weekday() < 5
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def _has_collected(trade_date: str) -> bool:
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"""当日核心股是否已采集"""
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conn = get_connection()
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try:
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row = conn.execute(
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"SELECT 1 FROM daily_core_stocks WHERE trade_date = ? LIMIT 1",
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(trade_date,),
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).fetchone()
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return row is not None
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finally:
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conn.close()
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async def collect_daily(trade_date: str, dry_run: bool = False) -> dict:
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"""采集指定交易日数据并入库。
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Args:
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trade_date: YYYY-MM-DD
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dry_run: True 只打印不写库（用于验证）
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Returns:
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{"core_count": int, "theme_count": int, "skipped": bool}
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"""
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if _has_collected(trade_date):
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print(f"[collector] {trade_date} 已采集，跳过")
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return {"core_count": 0, "theme_count": 0, "skipped": True}
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# 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）
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themes = await fetch_theme_list(1, False)
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if not themes:
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print(f"[collector] {trade_date} 题材列表为空（东财失败），跳过")
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return {"core_count": 0, "theme_count": 0, "skipped": True}
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# 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）
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stock_map: dict[str, dict] = {}
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for t in themes:
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code = t.get("securityCode")
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if not code:
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continue
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if code not in stock_map or (t.get("f3") or 0) > (stock_map[code].get("f3") or 0):
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stock_map[code] = {
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"stock_code": code,
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"stock_name": t.get("securityName", ""),
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"f3": t.get("f3"),
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}
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core_stocks = sorted(
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stock_map.values(), key=lambda x: -(x["f3"] or 0)
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)[:CORE_STOCK_LIMIT]
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# 3. 题材前10：bf3 降序
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top_themes = sorted(themes, key=lambda x: -(x.get("bf3") or 0))[:TOP_THEME_LIMIT]
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if dry_run:
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print(f"[collector] {trade_date} 核心股 {len(core_stocks)} 只，题材前10 {len(top_themes)} 只")
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return {"core_count": len(core_stocks), "theme_count": len(top_themes), "skipped": False}
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# 4. 入库（事务，UNIQUE 幂等）
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conn = get_connection()
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try:
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for i, s in enumerate(core_stocks, start=1):
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conn.execute(
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"INSERT OR IGNORE INTO daily_core_stocks (trade_date, stock_code, stock_name, f3, rank) VALUES (?,?,?,?,?)",
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(trade_date, s["stock_code"], s["stock_name"], s["f3"], i),
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)
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for i, t in enumerate(top_themes, start=1):
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conn.execute(
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"INSERT OR IGNORE INTO daily_top_themes (trade_date, theme_code, theme_name, bf3, hot_rank, rank) VALUES (?,?,?,?,?,?)",
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(trade_date, t["themeCode"], t["themeName"], t.get("bf3"), t.get("hotRank"), i),
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)
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conn.commit()
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finally:
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conn.close()
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print(f"[collector] {trade_date} 已采集：核心股 {len(core_stocks)} 只，题材前10 {len(top_themes)} 只")
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return {"core_count": len(core_stocks), "theme_count": len(top_themes), "skipped": False}
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async def collector_loop(stop: Optional[asyncio.Event] = None) -> None:
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"""后台循环：每个交易日 15:00 后自动采集当日数据（幂等）"""
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while True:
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try:
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now = datetime.now(_CST)
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if _is_trading_day(now) and now.time() >= _COLLECT_AFTER_TIME:
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trade_date = now.strftime("%Y-%m-%d")
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if not _has_collected(trade_date):
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await collect_daily(trade_date)
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except Exception as e:
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print(f"[collector] 采集异常: {e}")
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if stop is not None and stop.is_set():
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break
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await asyncio.sleep(_CHECK_INTERVAL_SECONDS)
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