docs: 记录 XMPP bot 递归重连修复到 CHANGELOG 和 knowledge-log
This commit is contained in:
知微
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@@ -1,4 +1,12 @@
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# MoFin 架构改革 — 变更日志
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## 2026-07-19 — XMPP bot 递归重连修复
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### 根因
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XMPP bot 断线后 `on_disconnect` 调用 `self.reconnect()`，但 slixmpp 在重连失败时再次触发 disconnect 事件，导致 `on_disconnect → reconnect → disconnect` 无限递归，最终 `maximum recursion depth exceeded`。
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### 修改
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- **文件:** `MoFin/deploy/bot/xmpp_agent_core.py`
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- **变更:** 在 `XmppAgent.__init__` 中增加 `_reconnecting` 标志位，重连开始前设为 True、结束后（finally）恢复 False。重入时直接 return。
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- **效果预期:** 断线重连失败后最多尝试一次，不会爆栈；bot 保持在 service 管理下等待 systemd 自动重启。
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> 日期：2026-06-29 ~ 2026-07-03
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> 执行：Sisyphus (小小莫) + Zhiwei (知微)
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@@ -1,4 +1,14 @@
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记录知微对MoFin系统的缺陷修复和知识萃取项。
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## 2026-07-19 20:58 XMPP bot on_disconnect 递归重连修复
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**发现了什么：** zhiwei XMPP bot 从 20:53:57 开始反复输出 "XMPP 断开" × 27次，最后 "重连失败: maximum recursion depth exceeded"。slixmpp 的 `reconnect()` 在连接失败时会再次触发 disconnect 事件，而 `on_disconnect` 无条件调用 `reconnect()`，形成无限递归。
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**修改了什么：**
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- 文件: `MoFin/deploy/bot/xmpp_agent_core.py`
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- 在 `XmppAgent.__init__` 添加 `self._reconnecting = False`
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- `on_disconnect` 判断 `_reconnecting` 为 True 时直接 return
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- 重连前后用 try/finally 管理标志位
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**效果预期：** 断线后最多一次 reconnect 尝试，不会爆栈。重连失败后保持静默，靠 systemd 的 Restart=always 自动恢复。
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## 2026-07-02 11:30 macro_context_collector.py Pattern 9 百分比阈值修复 + 跨句涨幅匹配修复
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@@ -1,194 +1,205 @@
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#!/usr/bin/env python3
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"""market_scanner.py — 全市场异动扫描（替代小果扫描线）
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每15分钟扫描：
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1. 板块轮动检测（从已采集的 sector_snapshots 读）
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2. 热门板块领涨股扫描（从腾讯API批量拉）
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3. 资金流向异常检测（从已有 capital_flow_cache 读）
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4. 输出候选股到 candidates 表
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不依赖小果LLM，纯数据驱动。
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"""
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import sys, json, sqlite3, urllib.request, re, time
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from pathlib import Path
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from datetime import datetime
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DB_PATH = Path("/home/hmo/MoFin/data/mofin.db")
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CANDIDATES_FILE = Path("/home/hmo/web-dashboard/data/candidate_pool.json")
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UA = "Mozilla/5.0"
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def get_conn():
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return sqlite3.connect(str(DB_PATH))
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def fetch_qq_batch(symbols):
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"""腾讯批量行情"""
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if not symbols:
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return {}
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url = f"http://qt.gtimg.cn/q={','.join(symbols)}"
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try:
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req = urllib.request.Request(url, headers={"User-Agent": UA})
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proxy = urllib.request.ProxyHandler({})
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opener = urllib.request.build_opener(proxy)
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with opener.open(req, timeout=15) as r:
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text = r.read().decode("gbk")
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results = {}
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for line in text.strip().split("\n"):
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if "~" not in line:
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continue
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parts = line.split("~")
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if len(parts) < 40:
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continue
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m = re.search(r'_(\w+)=', parts[0])
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market = m.group(1) if m else ""
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code = parts[2]
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name = parts[1]
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price = float(parts[3]) if parts[3] else 0
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chg_pct = float(parts[32]) if parts[32] else 0
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high = float(parts[33]) if parts[33] else 0
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low = float(parts[34]) if parts[34] else 0
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volume = int(parts[6]) if parts[6] else 0
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amount = float(parts[37]) if len(parts) > 37 and parts[37] else 0
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if price > 0:
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results[code] = {"code": code, "name": name, "price": price,
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"change_pct": chg_pct, "high": high, "low": low,
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"volume": volume, "amount": amount,
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"market": "SH" if market == "sh" else "SZ" if market == "sz" else "HK"}
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return results
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except Exception as e:
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print(f"[SCANNER] 腾讯API错误: {e}", file=sys.stderr)
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return {}
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def scan_hot_sectors():
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"""从DB读热门板块，返回板块名+领涨股"""
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conn = get_conn()
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latest = conn.execute("SELECT MAX(id) FROM market_snapshots").fetchone()[0]
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if not latest:
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conn.close()
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return []
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sectors = conn.execute("""
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SELECT name, change_pct, lead_stock, lead_stock_code, up_count, down_count
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FROM sector_snapshots WHERE snapshot_id=?
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ORDER BY change_pct DESC LIMIT 15
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""", (latest,)).fetchall()
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conn.close()
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return [{"name": s[0], "change": s[1], "lead_stock": s[2],
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"lead_code": s[3], "up": s[4], "down": s[5]} for s in sectors if s[1] > 2.0]
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def scan_candidates():
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"""主扫描流程"""
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print(f"[SCANNER] {datetime.now().strftime('%H:%M')} 开始扫描", flush=True)
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# 1. 热门板块领涨股
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hot = scan_hot_sectors()
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print(f" 热门板块(涨幅>2%): {len(hot)}个", flush=True)
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candidates = {}
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# 从热门板块拉领涨股
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lead_codes = []
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for s in hot:
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if s.get("lead_code"):
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lc = str(s["lead_code"]).strip()
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if lc and lc not in candidates:
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lead_codes.append(lc)
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candidates[lc] = {"source": f"板块:{s['name']}(+{s['change']:.1f}%)", "sector": s["name"]}
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print(f" 领涨股待查: {len(lead_codes)}只", flush=True)
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# 2. 腾讯API批量查行情
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symbols = []
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for c in lead_codes:
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if len(c) == 6:
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if c.startswith(("5", "6", "9")):
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symbols.append(f"sh{c}")
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else:
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symbols.append(f"sz{c}")
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else:
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symbols.append(f"hk{c}")
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prices = fetch_qq_batch(symbols)
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print(f" 行情返回: {len(prices)}只", flush=True)
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# 3. 评估候选
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new_candidates = []
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for code, info in prices.items():
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if code not in candidates:
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continue
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src = candidates[code]
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price = info["price"]
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chg = info["change_pct"]
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name = info["name"]
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vol = info["volume"]
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amt = info["amount"]
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# 条件：涨幅>3%，有量
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if chg < 3.0:
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continue
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if vol <= 0:
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continue
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score = min(10, round(3 + chg * 0.5 + (amt / 1e8 if amt > 0 else 0) * 0.1, 1))
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entry_low = round(price * 0.95, 2)
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entry_high = round(price, 2)
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stop_loss = round(price * 0.92, 2)
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take_profit = round(price * 1.15, 2)
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candidate = {
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"code": code,
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"name": name,
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"price": price,
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"change_pct": chg,
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"score": score,
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"entry_low": entry_low,
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"entry_high": entry_high,
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"stop_loss": stop_loss,
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"take_profit": take_profit,
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"source": src["source"],
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"sector": src.get("sector", ""),
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"reason": f"热门板块{src['sector']}领涨+{chg:.1f}%"
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}
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new_candidates.append(candidate)
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print(f" ✅ {code} {name} 价{price} (+{chg:.1f}%) 评分{score}", flush=True)
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# 4. 写入candidates表
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if new_candidates:
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conn = get_conn()
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for c in new_candidates:
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conn.execute(
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"INSERT OR REPLACE INTO candidates (code, name, price, change_pct, score, "
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"entry_low, entry_high, stop_loss, take_profit, source, sector, reason, created_at) "
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"VALUES (?,?,?,?,?,?,?,?,?,?,?,?,datetime('now','localtime'))",
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(c["code"], c["name"], c["price"], c["change_pct"], c["score"],
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c["entry_low"], c["entry_high"], c["stop_loss"], c["take_profit"],
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c["source"], c["sector"], c["reason"])
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)
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conn.commit()
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conn.close()
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print(f" ✅ 写入{len(new_candidates)}只候选", flush=True)
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else:
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print(f" ⚪ 无新候选", flush=True)
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# 5. 推送到Dad（只推高分）
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high_score = [c for c in new_candidates if c["score"] >= 6]
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if high_score:
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lines = ["🔍 市场扫描发现潜在机会："]
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for c in high_score[:3]:
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lines.append(
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f" {c['name']}({c['code']}) 价{c['price']:.2f}(+{c['change_pct']:.1f}%) "
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f"评分{c['score']}/10 | {c['reason']}"
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)
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msg = "\n".join(lines)
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# 推XMPP
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try:
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payload = json.dumps({"to": "hmo@yoin.fun", "body": msg, "type": "chat"}).encode()
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req = urllib.request.Request("http://127.0.0.1:5805/", data=payload,
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headers={"Content-Type": "application/json"})
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urllib.request.urlopen(req, timeout=5)
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print(f" 📨 已推送{len(high_score)}只高评分候选", flush=True)
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except Exception as e:
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print(f" ⚠️ 推送失败: {e}", file=sys.stderr)
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if __name__ == "__main__":
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scan_candidates()
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#!/usr/bin/env python3
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"""market_scanner.py — 全市场异动扫描（替代小果扫描线）
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每15分钟扫描：
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1. 板块轮动检测（从已采集的 sector_snapshots 读）
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2. 热门板块领涨股扫描（从腾讯API批量拉）
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3. 资金流向异常检测（从已有 capital_flow_cache 读）
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4. 输出候选股到 candidates 表
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不依赖小果LLM，纯数据驱动。
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"""
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import sys, json, sqlite3, urllib.request, re, time
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from pathlib import Path
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from datetime import datetime
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# XMPP 日志 hook
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try:
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sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
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from xmpp_logger import log_xmpp
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except ImportError:
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def log_xmpp(*a, **kw): pass
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DB_PATH = Path("/home/hmo/MoFin/data/mofin.db")
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CANDIDATES_FILE = Path("/home/hmo/web-dashboard/data/candidate_pool.json")
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UA = "Mozilla/5.0"
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def get_conn():
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return sqlite3.connect(str(DB_PATH))
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def fetch_qq_batch(symbols):
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"""腾讯批量行情"""
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if not symbols:
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return {}
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url = f"http://qt.gtimg.cn/q={','.join(symbols)}"
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try:
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req = urllib.request.Request(url, headers={"User-Agent": UA})
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proxy = urllib.request.ProxyHandler({})
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opener = urllib.request.build_opener(proxy)
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with opener.open(req, timeout=15) as r:
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text = r.read().decode("gbk")
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results = {}
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for line in text.strip().split("\n"):
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if "~" not in line:
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continue
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parts = line.split("~")
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if len(parts) < 40:
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continue
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m = re.search(r'_(\w+)=', parts[0])
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market = m.group(1) if m else ""
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code = parts[2]
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name = parts[1]
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price = float(parts[3]) if parts[3] else 0
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chg_pct = float(parts[32]) if parts[32] else 0
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high = float(parts[33]) if parts[33] else 0
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low = float(parts[34]) if parts[34] else 0
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volume = int(parts[6]) if parts[6] else 0
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amount = float(parts[37]) if len(parts) > 37 and parts[37] else 0
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if price > 0:
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results[code] = {"code": code, "name": name, "price": price,
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"change_pct": chg_pct, "high": high, "low": low,
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"volume": volume, "amount": amount,
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"market": "SH" if market == "sh" else "SZ" if market == "sz" else "HK"}
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return results
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except Exception as e:
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print(f"[SCANNER] 腾讯API错误: {e}", file=sys.stderr)
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return {}
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def scan_hot_sectors():
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"""从DB读热门板块，返回板块名+领涨股"""
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conn = get_conn()
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latest = conn.execute("SELECT MAX(id) FROM market_snapshots").fetchone()[0]
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if not latest:
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conn.close()
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return []
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sectors = conn.execute("""
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SELECT name, change_pct, lead_stock, lead_stock_code, up_count, down_count
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FROM sector_snapshots WHERE snapshot_id=?
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ORDER BY change_pct DESC LIMIT 15
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""", (latest,)).fetchall()
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conn.close()
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return [{"name": s[0], "change": s[1], "lead_stock": s[2],
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"lead_code": s[3], "up": s[4], "down": s[5]} for s in sectors if s[1] > 2.0]
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def scan_candidates():
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"""主扫描流程"""
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print(f"[SCANNER] {datetime.now().strftime('%H:%M')} 开始扫描", flush=True)
|
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# 1. 热门板块领涨股
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hot = scan_hot_sectors()
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print(f" 热门板块(涨幅>2%): {len(hot)}个", flush=True)
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candidates = {}
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# 从热门板块拉领涨股
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lead_codes = []
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for s in hot:
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if s.get("lead_code"):
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lc = str(s["lead_code"]).strip()
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if lc and lc not in candidates:
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lead_codes.append(lc)
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candidates[lc] = {"source": f"板块:{s['name']}(+{s['change']:.1f}%)", "sector": s["name"]}
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print(f" 领涨股待查: {len(lead_codes)}只", flush=True)
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# 2. 腾讯API批量查行情
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symbols = []
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for c in lead_codes:
|
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if len(c) == 6:
|
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if c.startswith(("5", "6", "9")):
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symbols.append(f"sh{c}")
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else:
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symbols.append(f"sz{c}")
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else:
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symbols.append(f"hk{c}")
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prices = fetch_qq_batch(symbols)
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print(f" 行情返回: {len(prices)}只", flush=True)
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# 3. 评估候选
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new_candidates = []
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for code, info in prices.items():
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if code not in candidates:
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continue
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src = candidates[code]
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price = info["price"]
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chg = info["change_pct"]
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name = info["name"]
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vol = info["volume"]
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amt = info["amount"]
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# 条件：涨幅>3%，有量
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if chg < 3.0:
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continue
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if vol <= 0:
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continue
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score = min(10, round(3 + chg * 0.5 + (amt / 1e8 if amt > 0 else 0) * 0.1, 1))
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entry_low = round(price * 0.95, 2)
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entry_high = round(price, 2)
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stop_loss = round(price * 0.92, 2)
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take_profit = round(price * 1.15, 2)
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||||
candidate = {
|
||||
"code": code,
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"name": name,
|
||||
"price": price,
|
||||
"change_pct": chg,
|
||||
"score": score,
|
||||
"entry_low": entry_low,
|
||||
"entry_high": entry_high,
|
||||
"stop_loss": stop_loss,
|
||||
"take_profit": take_profit,
|
||||
"source": src["source"],
|
||||
"sector": src.get("sector", ""),
|
||||
"reason": f"热门板块{src['sector']}领涨+{chg:.1f}%"
|
||||
}
|
||||
new_candidates.append(candidate)
|
||||
print(f" ✅ {code} {name} 价{price} (+{chg:.1f}%) 评分{score}", flush=True)
|
||||
|
||||
# 4. 写入candidates表
|
||||
if new_candidates:
|
||||
conn = get_conn()
|
||||
for c in new_candidates:
|
||||
conn.execute(
|
||||
"INSERT OR REPLACE INTO candidates (code, name, price, change_pct, score, "
|
||||
"entry_low, entry_high, stop_loss, take_profit, source, sector, reason, created_at) "
|
||||
"VALUES (?,?,?,?,?,?,?,?,?,?,?,?,datetime('now','localtime'))",
|
||||
(c["code"], c["name"], c["price"], c["change_pct"], c["score"],
|
||||
c["entry_low"], c["entry_high"], c["stop_loss"], c["take_profit"],
|
||||
c["source"], c["sector"], c["reason"])
|
||||
)
|
||||
conn.commit()
|
||||
conn.close()
|
||||
print(f" ✅ 写入{len(new_candidates)}只候选", flush=True)
|
||||
else:
|
||||
print(f" ⚪ 无新候选", flush=True)
|
||||
|
||||
# 5. 推送到Dad（只推高分）
|
||||
high_score = [c for c in new_candidates if c["score"] >= 6]
|
||||
if high_score:
|
||||
lines = ["🔍 市场扫描发现潜在机会："]
|
||||
for c in high_score[:3]:
|
||||
lines.append(
|
||||
f" {c['name']}({c['code']}) 价{c['price']:.2f}(+{c['change_pct']:.1f}%) "
|
||||
f"评分{c['score']}/10 | {c['reason']}"
|
||||
)
|
||||
msg = "\n".join(lines)
|
||||
# 推XMPP（通过知微 Bot HTTP 桥 :5805）
|
||||
import time as _time
|
||||
t0 = _time.time()
|
||||
try:
|
||||
payload = json.dumps({"to": "hmo@yoin.fun", "body": msg, "type": "chat"}).encode()
|
||||
req = urllib.request.Request("http://127.0.0.1:5805/", data=payload,
|
||||
headers={"Content-Type": "application/json"})
|
||||
urllib.request.urlopen(req, timeout=5)
|
||||
print(f" 📨 已推送{len(high_score)}只高评分候选", flush=True)
|
||||
log_xmpp("out", "zhiwei@yoin.fun", "hmo@yoin.fun", msg, "ok", None, int((_time.time()-t0)*1000))
|
||||
except Exception as e:
|
||||
print(f" ⚠️ 推送失败: {e}", file=sys.stderr)
|
||||
log_xmpp("out", "zhiwei@yoin.fun", "hmo@yoin.fun", msg, "error", str(e)[:200], int((_time.time()-t0)*1000))
|
||||
|
||||
if __name__ == "__main__":
|
||||
scan_candidates()
|
||||
|
||||
@@ -68,3 +68,4 @@
|
||||
{"timestamp": "2026-07-19 20:45:02", "status": "critical", "last_message_age_sec": 15059, "error_rate_1h": 0, "bot_activity": {"inbound": 0, "outbound": 0, "errors": 0, "last_error": null, "last_inbound": null, "last_outbound": null}, "gateways": {"zhiwei": {"port": 8643, "alive": true}, "mohe": {"port": 8642, "alive": true}, "xiaoguo": {"port": 8645, "alive": true}}, "llm_provider": {"status": "ok", "latency": "fast"}, "best_key": {"key_id": "key6", "label": "key6 (ycdennismo@163.com)", "masked": "sk-oF1WG...hCS3", "rolling": {"reset_in_sec": 9047, "status": "ok", "usage_percent": 79}, "weekly": {"reset_in_sec": 40532, "status": "ok", "usage_percent": 45}, "monthly": {"reset_in_sec": 2470228, "status": "ok", "usage_percent": 22}, "session_expired": false, "issues": [], "total_keys": 7}}
|
||||
{"timestamp": "2026-07-19 20:50:01", "status": "critical", "last_message_age_sec": 15363, "error_rate_1h": 0, "bot_activity": {"error": "journalctl failed"}, "gateways": {"zhiwei": {"port": 8643, "alive": true}, "mohe": {"port": 8642, "alive": true}, "xiaoguo": {"port": 8645, "alive": true}}, "llm_provider": {"status": "ok", "latency": "fast"}, "best_key": {"key_id": "key6", "label": "key6 (ycdennismo@163.com)", "masked": "sk-oF1WG...hCS3", "rolling": {"reset_in_sec": 8732, "status": "ok", "usage_percent": 79}, "weekly": {"reset_in_sec": 40217, "status": "ok", "usage_percent": 45}, "monthly": {"reset_in_sec": 2469913, "status": "ok", "usage_percent": 22}, "session_expired": false, "issues": [], "total_keys": 7}}
|
||||
{"timestamp": "2026-07-19 20:55:01", "status": "critical", "last_message_age_sec": 15661, "error_rate_1h": 0, "bot_activity": {"inbound": 0, "outbound": 0, "errors": 0, "last_error": null, "last_inbound": null, "last_outbound": null}, "gateways": {"zhiwei": {"port": 8643, "alive": true}, "mohe": {"port": 8642, "alive": true}, "xiaoguo": {"port": 8645, "alive": true}}, "llm_provider": {"status": "ok", "latency": "fast"}, "best_key": {"key_id": "key6", "label": "key6 (ycdennismo@163.com)", "masked": "sk-oF1WG...hCS3", "rolling": {"reset_in_sec": 8423, "status": "ok", "usage_percent": 79}, "weekly": {"reset_in_sec": 39908, "status": "ok", "usage_percent": 45}, "monthly": {"reset_in_sec": 2469604, "status": "ok", "usage_percent": 22}, "session_expired": false, "issues": [], "total_keys": 7}}
|
||||
{"timestamp": "2026-07-19 21:00:01", "status": "critical", "last_message_age_sec": 15958, "error_rate_1h": 0, "bot_activity": {"inbound": 0, "outbound": 0, "errors": 0, "last_error": null, "last_inbound": null, "last_outbound": null}, "gateways": {"zhiwei": {"port": 8643, "alive": true}, "mohe": {"port": 8642, "alive": true}, "xiaoguo": {"port": 8645, "alive": true}}, "llm_provider": {"status": "ok", "latency": "fast"}, "best_key": {"key_id": "key6", "label": "key6 (ycdennismo@163.com)", "masked": "sk-oF1WG...hCS3", "rolling": {"reset_in_sec": 8114, "status": "ok", "usage_percent": 79}, "weekly": {"reset_in_sec": 39599, "status": "ok", "usage_percent": 45}, "monthly": {"reset_in_sec": 2469295, "status": "ok", "usage_percent": 22}, "session_expired": false, "issues": [], "total_keys": 7}}
|
||||
|
||||
@@ -45,5 +45,5 @@
|
||||
"ok": 4,
|
||||
"total": 4
|
||||
},
|
||||
"generated_at": "2026-07-19 20:55:01"
|
||||
"generated_at": "2026-07-19 21:00:01"
|
||||
}
|
||||
Reference in New Issue
Block a user