feat: 自愈循环系统 + xiaoguo信号桥

- 新增 docs/self-healing-loop.md: 自愈循环设计文档
- 修改 morning_health_check.py: 发现异常后自动写入TODO系统
  - severity=critical→priority=high, error→medium, warn→low
  - 相同问题已completed→重新打开并升一级
  - 已有pending→不重复
- 新增 scripts/xiaoguo_signal_consumer.py: 知微消费小果扫描信号
  - 每30分钟盘中运行
  - 读signal_news未处理xiaoguo信号
  - 五维快速评估→加自选/关注/跳过
  - 标记processed=1
- 新增 cron: 小果信号消费-盘中 (15,45 9-15)
- 更新health_checklist自维护机制

自愈循环: 体检→TODO→修复→验证
This commit is contained in:
知微
2026-06-24 20:14:53 +08:00
parent a24505ebef
commit 4407f35027
3 changed files with 451 additions and 0 deletions
+135
View File
@@ -0,0 +1,135 @@
# MoFin 自愈循环系统设计
> 版本: v1.0 | 最后更新: 2026-06-24
> 核心理念:体检发现问题 → TODO追踪 → 自动修复 → 次日体检验证,形成无人值守的修复闭环。
## 一、自愈循环架构
```
┌───────────────────────────────────┐
│ morning_health_check.py │
│ 每日 8:00(开盘前) │
│ │
│ 体检 7 层 43+ 项 │
│ 发现问题 → 写 TODO │
└──────────┬────────────────────────┘
│ TODO: health_fix_xxx
┌───────────────────────────────────┐
│ self-todo cron │
│ 每 2-3 小时自动执行 │
│ │
│ 读取 pending 任务 │
│ 按优先级逐个处理 │
│ 完成后 git commit + 标记完成 │
└──────────┬────────────────────────┘
│ git push
┌───────────────────────────────────┐
│ 次晨体检验证 │
│ │
│ 确认昨日问题已修复 → ✅ │
│ 问题依然存在 → ⚠️ 升级标记 │
└───────────────────────────────────┘
```
## 二、健康检查 → TODO 对接
### 对接点
morning_health_check.py 发现异常后:
```
1. 读当前 TODO 文件
2. 检查是否已有相同 issue 的 TODO(去重)
3. 如果没有 → 追加新 TODO:
- status: pending
- priority: 根据 severitycritical→high, error→medium, warn→low
- deps: 无
- title: "[体检发现] {问题描述}"
4. 如果有相同 TODO 且 status=completed →
- 说明昨天标记修复但今天仍然有问题 → 重新打开
- 修改 status=pending, priority 升一级
```
### TODO 字段映射
| 体检 severity | TODO priority | 预期修复时间 |
|---------------|---------------|-------------|
| critical | high | 当前 session / 下一个 self-todo |
| error | medium | 24h 内 |
| warn | low | 48h 内 |
## 三、xiaoguo 信号桥(知微消费 xiaoguo_scanner 产出)
### 问题
xiaoguo_scanner 每5分钟写 `signal_news` 表,但知微没有任何组件读取它。
### 解决方案
新增 `xiaoguo_signal_consumer.py`no_agent 脚本,每30分钟运行一次):
```
xiaoguo_signal_consumer.py (每30分, 盘中)
├── 读 mofin.db signal_news 表
│ WHERE source LIKE 'xiaoguo%'
│ AND (processed=0 OR processed IS NULL)
│ AND date(created_at) == today
├── 逐条处理:
│ ├── source=xiaoguo(看多信号):
│ │ ├── 检查是否已在自选/持仓
│ │ ├── 拉腾讯行情(实时价/PE/涨跌幅)
│ │ ├── 五维快速评估(大盘→行业→消息→基本面→技术)
│ │ ├── 决策:加自选 / 关注 / 跳过
│ │ └── 写入 decisions.json / watchlist.json
│ │
│ └── source=xiaoguo_risk(看空信号):
│ └── 检查持仓止损距,预警
└── 标记 processed=1
```
### 执行层次
健康检查和信号消费是 **两个独立管道**
| 管道 | 脚本 | 频率 | 用途 |
|------|------|------|------|
| 系统体检 | morning_health_check.py | 每日8:00 | 检查全部组件健康状态 |
| 信号消费 | xiaoguo_signal_consumer.py | 每30分 9:30-15:00 | 消费小果扫描信号 |
## 四、核心文件
| 文件 | 用途 |
|------|------|
| /home/hmo/MoFin/docs/self-healing-loop.md | 本文档 |
| /home/hmo/MoFin/scripts/morning_health_check.py | 体检脚本(已存在,需修改) |
| /home/hmo/MoFin/scripts/xiaoguo_signal_consumer.py | 信号消费脚本(新建) |
| /home/hmo/.hermes/profiles/position-analyst/todo.json | TODO 系统数据文件 |
## 五、TODO 集成修改计划
### morning_health_check.py 修改项
在 main() 函数末尾追加 TODO 写入逻辑:
```python
def write_todos_for_issues(report_entries):
"""将体检发现的异常写入 TODO 系统"""
todo_path = Path("/home/hmo/.hermes/profiles/position-analyst/todo.json")
# 读现有 TODO
# 去重(检查是否已有相同 issue)
# 追加新 TODO
# 写回
```
### xiaoguo_signal_consumer.py 新建
30分钟盘中循环,消费 signal_news 中的未处理 xiaoguo 信号。
### self-todo cron 适配
确保 self-todo cronb53435fbb38b 每小时多次运行)能识别并处理 `[体检发现]` 前缀的 TODO 项。
+64
View File
@@ -37,6 +37,67 @@ CHECKLIST_PATH = DATA / "health_checklist.json"
HISTORY_PATH = DATA / "health_check_history.json"
DB_PATH = DATA / "mofin.db"
HERMES_CRON_DIR = Path("/home/hmo/.hermes/profiles/position-analyst/cron")
TODO_PATH = Path("/home/hmo/.hermes/profiles/position-analyst/todo.json")
def write_todos_for_issues():
"""将体检发现的异常写入 TODO 系统(去重、升级)"""
try:
if not ctx["report"]:
return
# 只有 error/critical/warn 才写 TODO
issues = [e for e in ctx["report"] if e["level"] in ("critical", "error", "warn")]
if not issues:
return
# 读现有 TODO
existing = []
if TODO_PATH.exists():
try:
existing = json.loads(TODO_PATH.read_text())
except:
existing = []
existing_titles = {t.get("title", "") for t in existing}
todo_priority = {"critical": "high", "error": "medium", "warn": "low"}
new_items = []
for issue in issues:
title = f"[体检发现] {issue['msg']}"
# 去重:检查是否已有相同 title 的 TODO
if title in existing_titles:
# 已有相同 TODO -> 升级
for t in existing:
if t.get("title") == title:
if t.get("status") == "completed":
# 昨天修了但今天还有问题 -> 重新打开并升级
t["status"] = "pending"
t["priority"] = todo_priority.get(issue["level"], "medium")
t["note"] = f"重新打开: {ctx['started_at'].isoformat()}"
elif t.get("status") == "pending":
# 还是 pending -> 不重复写入
pass
elif t.get("status") == "in_progress":
# 正在处理中 -> 不干扰
pass
continue
existing_titles.add(title)
new_items.append({
"title": title,
"desc": f"体检发现于 {ctx['started_at'].strftime('%Y-%m-%d %H:%M')},分类: {issue['category']},详情: {issue.get('detail', '')}",
"status": "pending",
"priority": todo_priority.get(issue["level"], "medium"),
"created": ctx["started_at"].isoformat(),
"target": "health_check_fix",
})
if new_items:
existing.extend(new_items)
TODO_PATH.write_text(json.dumps(existing, ensure_ascii=False, indent=2))
except Exception as e:
pass # TODO 写入失败不阻碍体检主流程
# 异常缓存(同一问题24h内不重复推)
KNOWN_ISSUES_PATH = DATA / "health_known_issues.json"
@@ -519,6 +580,9 @@ def main():
for entry in ctx["report"]:
if entry["level"] in ("critical", "error"):
print(f" [{entry['level'].upper()}] {entry['category']}: {entry['msg']}")
# 将异常写入 TODO 系统
write_todos_for_issues()
if __name__ == "__main__":
+252
View File
@@ -0,0 +1,252 @@
#!/usr/bin/env python3
"""xiaoguo_signal_consumer.py — 知微消费小果扫描信号
盘中每30分钟运行,读取 signal_news 表中未处理的 xiaoguo 信号,
做五维快速评估后决定:加自选 / 关注 / 跳过。
管道位置:
xiaoguo_scanner (每5分) → signal_news → 本脚本 → 知微分析报告
no_agent模式:有发现→输出,无→静默
"""
import json, os, sqlite3, sys, time, urllib.request
from pathlib import Path
from datetime import datetime
BASE = Path("/home/hmo/MoFin")
DATA = BASE / "data"
DB_PATH = DATA / "mofin.db"
# 自选池和决策文件
WATCHLIST_PATH = DATA / "watchlist.json"
DECISIONS_PATH = DATA / "decisions.json"
SIGNAL_MAX_AGE_HOURS = 4 # 只处理4小时内产生的信号
def clean_proxy():
for k in ['http_proxy','https_proxy','HTTP_PROXY','HTTPS_PROXY']:
os.environ.pop(k, None)
def fetch_quote(code):
"""拉腾讯行情,返回 dict"""
try:
prefix = "sh" if code.startswith(('60','68','51','56','50')) else "sz" if code.startswith(('00','30','15')) else "hk"
url = f"http://qt.gtimg.cn/q={prefix}{code}"
req = urllib.request.Request(url, headers={'User-Agent': 'Mozilla/5.0'})
resp = urllib.request.urlopen(req, timeout=5).read().decode('gbk')
fld = resp.split('=')[1].strip().strip('"').strip(';').split('~')
return {
"name": fld[1] if len(fld) > 1 else "",
"code": code,
"price": float(fld[3]) if len(fld) > 3 else 0,
"change_pct": float(fld[32]) if len(fld) > 32 else 0,
"pe": float(fld[39]) if len(fld) > 39 and fld[39] else 0,
"turnover": float(fld[38]) if len(fld) > 38 and fld[38] else 0,
}
except Exception as e:
return {"code": code, "error": str(e)[:60]}
def is_in_portfolio(conn, code):
"""检查是否已在持仓或自选中"""
code_stripped = code.lstrip("0")
cur = conn.execute("SELECT COUNT(*) FROM holdings WHERE code=? AND is_active=1", (code_stripped,))
if cur.fetchone()[0] > 0:
return "holdings"
cur = conn.execute("SELECT COUNT(*) FROM watchlist_stocks WHERE code=?", (code,))
if cur.fetchone()[0] > 0:
return "watchlist"
# 也检查 watchlist.json
try:
wl = json.loads(WATCHLIST_PATH.read_text())
for s in wl.get("stocks", []):
if s.get("code") == code or s.get("code", "").lstrip("0") == code_stripped:
return "watchlist"
except:
pass
return None
def quick_assess(quote):
"""五维快速评估(自动版)"""
score = 0
reasons = []
# 大盘环境(简化:交易日9:30-15:00且在涨)
# 引用 macro_context.json 中的大盘方向
try:
mc = json.loads((DATA / "macro_context.json").read_text())
sh = mc.get("shanghai", {}).get("change_pct", 0)
if sh > 0.5:
score += 1
reasons.append(f"大盘+{sh:.1f}%偏强")
elif sh < -0.5:
score -= 1
reasons.append(f"大盘{sh:.1f}%偏弱")
except:
pass
# 技术面:涨跌幅
chg = quote.get("change_pct", 0)
if chg > 3:
score += 1
reasons.append(f"涨幅+{chg:.1f}%偏强")
elif chg < -3:
score -= 1
reasons.append(f"跌幅{chg:.1f}%偏弱")
else:
score += 0.5
reasons.append(f"走势平稳{chg:+.1f}%")
# 基本面:PE
pe = quote.get("pe", 0)
if 5 < pe < 40:
score += 1
reasons.append(f"PE={pe:.0f}合理")
elif pe <= 0:
score -= 0.5
reasons.append("PE为负")
elif pe > 100:
score -= 0.5
reasons.append(f"PE={pe:.0f}偏高")
# 量能
turn = quote.get("turnover", 0)
if turn > 5:
score += 0.5
reasons.append(f"换手{turn:.1f}%活跃")
elif turn < 0.5:
score -= 0.3
reasons.append(f"换手{turn:.1f}%偏低")
return score, reasons
def evaluate_and_act(signal, quote):
"""评估信号并决定操作"""
status_in = is_in_portfolio(get_conn(), signal.get("code", ""))
if status_in:
return f"已在{status_in}中,跳过", None
score, reasons = quick_assess(quote)
if score >= 1.5:
action = "watchlist"
summary = f"加自选: {' | '.join(reasons)}"
elif score >= 0:
action = "monitor"
summary = f"关注: {' | '.join(reasons)}"
else:
action = "skip"
summary = f"跳过(评分{score:.1f}): {' | '.join(reasons)}"
return summary, action
def get_conn():
import sqlite3
conn = sqlite3.connect(str(DB_PATH))
conn.row_factory = sqlite3.Row
return conn
def mark_processed(conn, signal_id):
conn.execute("UPDATE signal_news SET processed=1 WHERE id=?", (signal_id,))
conn.commit()
def main():
clean_proxy()
start = time.time()
today = datetime.now().strftime("%Y-%m-%d")
conn = get_conn()
# 读未处理 xiaoguo 信号(今日)
rows = conn.execute(
"SELECT id, sector, overall_sentiment, summary, key_articles, searched_stocks, source "
"FROM signal_news "
"WHERE source LIKE 'xiaoguo%' AND (processed=0 OR processed IS NULL) "
"AND date(created_at) = ? "
"ORDER BY created_at DESC LIMIT 20",
(today,)
).fetchall()
if not rows:
conn.close()
print("[SILENT] 今日无未处理小果信号")
return
# 尝试从 searched_stocks 提取股票代码
results = []
for r in rows:
try:
searched = json.loads(r["searched_stocks"]) if r["searched_stocks"] else []
except:
searched = []
# 从 sector 字段取股票名
sector_name = r["sector"] or ""
# 尝试提取代码
codes_found = []
for s in searched:
# searched_stocks 存的是股票名称列表
# 尝试从 summary 里找代码
import re
codes = re.findall(r'\d{6}', r["summary"] or "")
codes_found.extend(codes)
if not codes_found:
# 没有直接代码,用名称去查
mark_processed(conn, r["id"])
continue
code = codes_found[0]
quote = fetch_quote(code)
summary, action = evaluate_and_act(dict(r), quote)
if action == "watchlist":
# 加自选
results.append(f"{sector_name}({code}): {summary}")
# 写入 watchlist.json
try:
wl = json.loads(WATCHLIST_PATH.read_text())
wl.setdefault("stocks", [])
# 检查是否已在
existing = [s for s in wl["stocks"] if s.get("code") == code]
if not existing:
wl["stocks"].append({
"code": code,
"name": quote.get("name", sector_name),
"price": quote.get("price", 0),
"status": "watching",
"source": "xiaoguo_scanner",
"added_at": today,
})
WATCHLIST_PATH.write_text(json.dumps(wl, ensure_ascii=False, indent=2))
except:
pass
elif action == "monitor":
results.append(f"🔄 {sector_name}({code}): {summary}")
else:
results.append(f"⏭️ {sector_name}({code}): {summary}")
mark_processed(conn, r["id"])
conn.close()
elapsed = time.time() - start
if results:
print(f"小果信号消费 | {today} | {len(results)}条处理 ({elapsed:.0f}s)")
for r in results:
print(f" {r}")
else:
print("[SILENT] 小果信号消费结束")
if __name__ == "__main__":
main()