118 lines
4.6 KiB
Python
118 lines
4.6 KiB
Python
#!/usr/bin/env python3
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"""news_collector_full.py — 全市场新闻采集（stock_news 日常刷新）
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背景（2026-08-12 架构补缺）：
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stock_news 403万行 8/4 停更。现有 news_collector/ths_news 只覆盖 v8.1 的 58 只，
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未注册 cron。p_oversold 的 news3 因子需要全市场个股近3日新闻数。
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数据源：东财 search-api（news_collector.fetch_stock_news，keyword=code 翻页）
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老莫改直连后实测可用（600519 返回 50 条含当日最新）。
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策略：全市场 4013 只按 code 逐个搜，每只取第一页(50条)只存近3天。
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4 个 cron 分批(--batch 0/1/2/3 各~1000只)，0.4s 间隔防封，INSERT OR IGNORE 幂等。
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调度：盘前 4 批（8:20/8:30/8:40/8:50）+ 盘后 4 批（16:40/16:45/16:50/16:55）
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规范：单例守卫(5.3) + 限速防封 + 分批 commit + 近3天过滤
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"""
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import sys, os, json, time, sqlite3, fcntl
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from pathlib import Path
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from datetime import datetime, timedelta
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sys.path.insert(0, str(Path(__file__).parent))
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from news_collector import fetch_stock_news, init_table
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DB_PATH = Path("/home/hmo/MoFin/data/mofin.db")
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SLEEP = 0.4 # 请求间隔（防东财封）
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BATCHES = 8 # 8 批（2026-08-13 由4改8：4272只/4批=1068只×0.9s=961s超600s超时，改8批每批534只×0.9s=481s安全）
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RECENT_DAYS = 3 # 只存近 3 天新闻（news3 因子口径）
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def _singleton_guard(tag):
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lock_dir = Path("/tmp/mofin_locks")
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lock_dir.mkdir(exist_ok=True)
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try:
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fd = os.open(str(lock_dir / f"{tag}.lock"), os.O_CREAT | os.O_RDWR)
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fcntl.flock(fd, fcntl.LOCK_EX | fcntl.LOCK_NB)
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return fd
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except OSError:
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print(f"[{tag}] 已有实例在运行，退出", flush=True)
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sys.exit(0)
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def get_codes(conn, batch):
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"""全市场 A 股（stock_daily distinct），按 batch 分批"""
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rows = conn.execute(
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"SELECT DISTINCT code FROM stock_daily WHERE length(code)=6 ORDER BY code"
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).fetchall()
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codes = [str(r[0]) for r in rows]
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return [c for i, c in enumerate(codes) if i % BATCHES == batch]
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def main():
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batch = 0
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limit = 0
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i = 1
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while i < len(sys.argv):
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a = sys.argv[i]
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if a.startswith("--batch"):
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batch = int(a.split("=")[-1] if "=" in a else sys.argv[i + 1])
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if a.startswith("--limit"):
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limit = int(a.split("=")[-1] if "=" in a else sys.argv[i + 1])
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i += 1
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tag = f"news_collector_full_b{batch}"
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_fd = _singleton_guard(tag)
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t0 = time.time()
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print(f"[{tag}] {datetime.now().strftime('%H:%M:%S')} 全市场新闻采集(batch={batch}) 开始", flush=True)
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conn = sqlite3.connect(str(DB_PATH), timeout=30)
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init_table(conn)
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codes = get_codes(conn, batch)
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if limit > 0:
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codes = codes[:limit]
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print(f" [测试模式] 只跑前 {limit} 只", flush=True)
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print(f" 股票池: {len(codes)} 只 (batch {batch}/{BATCHES})", flush=True)
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since = (datetime.now() - timedelta(days=RECENT_DAYS)).strftime("%Y-%m-%d")
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cur = conn.cursor()
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ok = fail = empty = new = 0
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for idx, code in enumerate(codes, 1):
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try:
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arts = fetch_stock_news(code, max_pages=1) # 第一页 50 条
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if not arts:
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empty += 1
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continue
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n = 0
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for a in arts:
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# 只存近 RECENT_DAYS 天（news3 口径），date 格式 'YYYY-MM-DD HH:MM' 或 'YYYY-MM-DD HH:MM:SS'
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dstr = (a.get("date") or "")[:10]
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if dstr and dstr >= since:
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try:
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cur.execute(
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"INSERT OR IGNORE INTO stock_news (code, title, content, source, date, url) "
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"VALUES (?,?,?,?,?,?)",
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(code, a.get("title", ""), a.get("content", ""),
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a.get("source", "eastmoney"), a.get("date", ""), a.get("url", "")))
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if cur.rowcount:
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n += 1
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except Exception:
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pass
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new += n
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ok += 1
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except Exception as e:
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fail += 1
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if fail <= 5:
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print(f" FAIL {code}: {str(e)[:60]}", flush=True)
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if idx % 50 == 0:
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conn.commit()
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print(f" [{idx}/{len(codes)}] ok={ok} empty={empty} fail={fail} 新增={new} | {time.time()-t0:.0f}s", flush=True)
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time.sleep(SLEEP)
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conn.commit()
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conn.close()
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dt = time.time() - t0
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print(f"[{tag}] 完成: {ok}/{len(codes)} 成功, {empty} 无新闻, {fail} 失败, 新增 {new} 条, 耗时 {dt:.0f}s", flush=True)
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if __name__ == "__main__":
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main()
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