116 lines
4.8 KiB
Python
116 lines
4.8 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""review_needed_watchdog.py 修复（2026-08-19 老莫：P1 架构收敛）
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原 bug：strategy_lifecycle 把 status=review_needed 写入 DB（holding_strategies.status，
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经 per_stock_reassess result.status 写回），但本 watchdog 却读废弃的 decisions.json →
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永远空跑，DB 里 review_needed 没人消费（写入方与消费方脱节）。
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修复：改读 DB（holding_strategies.status='review_needed'），对接 strategy_lifecycle 写入；
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XMPP 走 alert_helper 统一网关（分级 ACTION）。
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"""
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import sys, json, os, datetime, sqlite3
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# ── 消息通道统一路由(broadcast/xmpp by delivery) ──
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try:
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from messenger import install_stdio_hook as _msh
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_msh()
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except Exception:
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pass
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sys.path.insert(0, "/home/hmo/MoFin")
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os.chdir("/home/hmo/MoFin")
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DB = "/home/hmo/MoFin/data/mofin.db"
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RETRY_FILE = "/home/hmo/MoFin/data/review_needed_retry.json"
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MAX_RETRY = 3
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RETRY_INTERVAL_HOURS = 4 # 同股 4 小时内不重复跟进（配合 per_stock_reassess 冷却）
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def load_retry():
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try:
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return json.load(open(RETRY_FILE))
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except Exception:
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return {}
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def save_retry(data):
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json.dump(data, open(RETRY_FILE, "w"), indent=2)
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def push_alert(body):
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"""统一网关推送（ACTION 级直通，含分级/去重）"""
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try:
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from alert_helper import notify, ACTION
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notify("复习跟进", body, level=ACTION)
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return True
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except Exception as e:
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print(f" [XMPP推送失败] {e}")
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return False
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def main():
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conn = sqlite3.connect(DB, timeout=30)
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conn.execute("PRAGMA busy_timeout=30000")
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# 对接 strategy_lifecycle：读 DB status=review_needed（写入方经 per_stock_reassess 落库）
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try:
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rows = conn.execute(
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"SELECT code, name, status, reassessed_at FROM holding_strategies "
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"WHERE status='review_needed'",
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).fetchall()
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except Exception as e:
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print(f"[ERR] review_needed 查询失败: {e}")
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conn.close()
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return 0
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conn.close()
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review_list = [r for r in rows if r[0]]
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retry_data = load_retry()
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today = datetime.date.today().isoformat()
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if not review_list:
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print("[SILENT] 无 review_needed 策略")
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return 0
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print(f"发现 {len(review_list)} 只 review_needed 策略")
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for code, name, status, reassessed in review_list:
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nm = name or code
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retries = retry_data.get(code, {}).get("count", 0) + 1
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# 同股 4 小时内已跟进过 → 跳过（防重复重评烧 token）
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last = retry_data.get(code, {}).get("last_ts", 0)
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now_ts = datetime.datetime.now().timestamp()
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if last and now_ts - last < RETRY_INTERVAL_HOURS * 3600:
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print(f" ⏭ {nm}({code}) 4小时内已跟进，跳过")
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continue
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retry_data[code] = {"count": retries, "last_attempt": today, "last_ts": now_ts}
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if retries >= MAX_RETRY:
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print(f" ⛔ {nm}({code}) 已重试{retries}次，跳过")
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continue
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print(f" 🔄 {nm}({code}) 第{retries}次重试...")
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import subprocess
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r = subprocess.run(
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[sys.executable, "/home/hmo/MoFin/deploy/profile-scripts/per_stock_reassess.py", code],
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capture_output=True, text=True, timeout=120
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)
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out = (r.stdout or "") + (r.stderr or "")
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print(f" {out[:200]}")
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# 重读 DB
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conn = sqlite3.connect(DB, timeout=30)
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new_status = conn.execute("SELECT status FROM holding_strategies WHERE code=? ORDER BY id DESC LIMIT 1", (code,)).fetchone()
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conn.close()
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if new_status and new_status[0] == "active":
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print(f" ✅ {nm}({code}) 重评通过（status 恢复正常）")
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retry_data[code] = {"count": 0, "last_attempt": today, "last_ts": now_ts}
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elif new_status and new_status[0] == "review_needed":
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print(f" ❌ {nm}({code}) 仍 review_needed")
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else:
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print(f" ⚠️ {nm}({code}) 状态: {new_status[0] if new_status else '无记录'}")
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# 3 次以上失败 → 推 Dad 人工介入（统一网关 ACTION）
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dead = [code for code, v in retry_data.items() if v.get("count", 0) >= MAX_RETRY]
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if dead:
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names = []
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conn = sqlite3.connect(DB, timeout=30)
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for code in dead:
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nm = conn.execute("SELECT name FROM holding_strategies WHERE code=? AND status='active'", (code,)).fetchone()
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names.append(f"{nm[0] if nm else code}({code})")
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conn.close()
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msg = f"【MoFin·策略复习】{today}\n以下策略 {MAX_RETRY} 次自动重评均失败：\n" + "\n".join(f" - {n}" for n in names) + "\n\n原因可能是：缺少技术面数据 / 行业信息不完整 / 参数连续被拒。"
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push_alert(msg)
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save_retry(retry_data)
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return 0
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if __name__ == "__main__":
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main()
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