feat: 统一部署目录——所有运行时文件归入MoFin repo
- deploy/bot/ — XMPP bot核心(xmpp_agent_core + xmpp_zhiwei_bot) - deploy/profile-scripts/ — cron脚本(price_monitor等) - 运行时文件已替换为指向MoFin的符号链接 - 改代码只需改MoFin，系统自动生效
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知微
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#!/usr/bin/env python3
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"""system_audit.py — MoFin 全局系统审计
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每日收盘后运行，遍历所有对象生命周期，发现缺口→自动修复/记录。
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审计维度：
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1. 信号管道 — 今日signal_news产出vs处理量，有积压则预警
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2. 股票生命周期 — 关注列表是否有条件触发的、自选是否有策略缺失的
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3. 策略状态 — 过期/偏离/无止损等异常策略
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4. 建议闭环 — pending超过7天的未执行建议
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5. 组合健康 — 弱势占比、仓位集中度、现金水位
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6. 数据管道 — 今日采集是否正常、有无cron报错
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7. 系统服务 — Dashboard/XMPP/小果API在线状态
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输出：JSON + 摘要文本，推送给老爸。
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"""
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import json, sqlite3, subprocess, sys, time
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from pathlib import Path
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from datetime import datetime, timedelta
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from mo_data import read_portfolio, read_decisions, read_watchlist
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DATA_DIR = Path("/home/hmo/MoFin/data")
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WEB_DATA = Path("/home/hmo/web-dashboard/data")
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REPORT = {"timestamp": datetime.now().isoformat(), "issues": [], "fixes": [], "ok": []}
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def log_issue(area, severity, desc, fix=None):
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REPORT["issues"].append({"area": area, "severity": severity, "desc": desc, "suggested_fix": fix})
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def log_fix(area, desc):
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REPORT["fixes"].append({"area": area, "desc": desc})
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def log_ok(area, desc):
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REPORT["ok"].append({"area": area, "desc": desc})
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# ── 1. 信号管道审计 ──
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def audit_signals(conn):
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try:
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total = conn.execute("SELECT COUNT(*) FROM signal_news").fetchone()[0]
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unproc = conn.execute("SELECT COUNT(*) FROM signal_news WHERE source LIKE 'xiaoguo%' AND (processed=0 OR processed IS NULL) AND created_at > datetime('now', '-4 hours')").fetchone()[0]
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total_unproc = conn.execute("SELECT COUNT(*) FROM signal_news WHERE (processed=0 OR processed IS NULL)").fetchone()[0]
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today = conn.execute("SELECT COUNT(*) FROM signal_news WHERE created_at > datetime('now','-1 day')").fetchone()[0]
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log_ok("信号管道", f"信号库{total}条，今日{today}条，未处理{total_unproc}条(xiaoguo={unproc})")
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if unproc > 30:
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log_issue("信号管道", "HIGH", f"xiaoguo信号堆积{unproc}条，可能处理速度跟不上")
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# 检查其他来源信号积压（无consumer的信号源）
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other = total_unproc - unproc
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if other > 50:
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log_issue("信号管道", "MEDIUM", f"其它来源信号积压{other}条（divergence_watch/trend等，可能无consumer）")
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except Exception as e:
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log_issue("信号管道", "HIGH", f"查询失败: {e}")
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# ── 2. 股票生命周期审计 ──
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def audit_stocks(conn):
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# 关注列表
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try:
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wl = read_watchlist()
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watching = [s for s in wl.get("stocks", []) if s.get("status") == "watching"]
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formal = [s for s in wl.get("stocks", []) if s.get("status") != "watching"]
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log_ok("股票池", f"正式自选{len(formal)}只, 关注列表{len(watching)}只")
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# 检查持仓中是否有已关闭但未标记的
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closed_holdings = conn.execute("SELECT COUNT(*) FROM holdings WHERE is_active=0").fetchone()[0]
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active_holdings = conn.execute("SELECT COUNT(*) FROM holdings WHERE is_active=1").fetchone()[0]
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if closed_holdings > 0:
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log_ok("股票池", f"持有中{active_holdings}只活跃, {closed_holdings}只已关闭")
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except Exception as e:
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log_issue("股票池", "MEDIUM", f"查询失败: {e}")
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# ── 3. 策略状态审计 ──
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def audit_strategies(conn):
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try:
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dec = read_decisions()
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active = [d for d in dec.get("decisions", []) if d.get("status") in ("active", "updated")]
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stale_count = 0
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no_stop = 0
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for d in active:
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# 检查是否有止损
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if not d.get("stop_loss"):
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no_stop += 1
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# 检查是否过期（>14天）
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ts = d.get("timestamp", "")
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if ts:
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try:
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dt = datetime.fromisoformat(ts)
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if (datetime.now() - dt).days > 14:
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stale_count += 1
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except:
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pass
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log_ok("策略", f"活跃策略{len(active)}条")
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if stale_count > 0:
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log_issue("策略", "MEDIUM", f"{stale_count}条策略超过14天未更新", "运行 stale_detector 触发重评")
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if no_stop > 0:
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log_issue("策略", "HIGH", f"{no_stop}条活跃策略缺少止损位")
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except Exception as e:
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log_issue("策略", "HIGH", f"查询失败: {e}")
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# ── 4. 建议闭环审计 ──
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def audit_advice(conn):
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try:
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dec = read_decisions()
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pending = 0
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for d in dec.get("decisions", []):
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for a in d.get("advice_timeline", []):
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if a.get("status") == "pending":
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pending += 1
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if pending > 0:
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log_issue("建议", "LOW", f"{pending}条建议待确认/执行", "检查advice_timeline确认是否已执行")
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else:
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log_ok("建议", "无待处理建议")
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except Exception as e:
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log_issue("建议", "MEDIUM", f"查询失败: {e}")
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# ── 5. 组合健康 ──
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def audit_portfolio(conn):
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try:
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pj = read_portfolio()
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pos = pj.get("position_pct", 0)
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cash = pj.get("cash", 0)
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available = pj.get("available_cash", cash)
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log_ok("组合", f"总仓位{pos:.1f}%")
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if pos > 90:
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log_issue("组合", "MEDIUM", f"仓位{pos:.1f}%超过90%，现金紧张")
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elif pos < 30:
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log_issue("组合", "LOW", f"仓位仅{pos:.1f}%，现金过多")
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except Exception as e:
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log_issue("组合", "MEDIUM", f"查询失败: {e}")
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# ── 8. 编译缓存审计 ──
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def audit_cache():
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"""检查 __pycache__ 中是否有比 .py 源文件更老的 .pyc（陈旧缓存）。"""
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try:
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base = Path(__file__).resolve().parent
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stale = []
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for pyc in base.rglob("__pycache__/*.pyc"):
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py = pyc.with_suffix("") # remove .cpython-*.pyc extension
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# The .py file is at parent_of___pycache__ / stem_without_cpython_suffix
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# e.g., __pycache__/foo.cpython-312.pyc -> ../foo.py
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stem = pyc.stem # e.g. "foo.cpython-312"
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# Remove the .cpython-NNN suffix to get original module name
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import re
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m = re.match(r"^(.*?)\.cpython-\d+", stem)
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if not m:
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continue
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py_path = pyc.parent.parent / f"{m.group(1)}.py"
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if py_path.exists() and pyc.stat().st_mtime < py_path.stat().st_mtime:
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stale.append(str(py_path.name))
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if stale:
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log_issue("编译缓存", "MEDIUM", f"{len(stale)}个陈旧.pyc：{', '.join(stale)}", "删除对应__pycache__/.pyc")
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else:
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log_ok("编译缓存", "所有.pyc文件与源文件一致")
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except Exception as e:
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log_issue("编译缓存", "LOW", f"检查失败: {e}")
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# ── 6. 数据管道审计（端到端，逐条trace） ──
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def audit_pipeline():
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"""遍历所有关键数据管道，检查生产者→存储→消费者链路是否完整"""
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today = datetime.now().strftime("%Y-%m-%d")
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conn = sqlite3.connect(str(DATA_DIR / "mofin.db"))
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pipelines = [
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# 管道名, 生产者, 存储位置, 检查SQL/文件, 新鲜度阈值(天)
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("价格数据", "price_monitor(每2分)", "live_prices.updated_at",
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"SELECT MAX(updated_at) FROM live_prices", 0.02), # 30分钟内
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("宏观上下文", "refresh_macro_context(每30分)", "macro_context_log.created_at",
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"SELECT MAX(created_at) FROM macro_context_log", 1), # 1天内
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("市场快照", "market_watch(每10分)", "market_snapshots.created_at",
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"SELECT MAX(created_at) FROM market_snapshots", 1),
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("策略评估", "reassess_with_context", "holding_strategies.updated_at(活跃策略)",
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"SELECT MAX(updated_at) FROM holding_strategies WHERE status='active'", 2),
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("原始新闻", "macro_context_collector", "macro_raw_news.fetched_at",
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"SELECT MAX(fetched_at) FROM macro_raw_news", 1),
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("风险信号", "macro_context_collector", "signal_news.created_at",
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"SELECT MAX(created_at) FROM signal_news", 2),
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]
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for name, producer, storage, sql, max_days in pipelines:
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try:
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row = conn.execute(sql).fetchone()
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if not row or not row[0]:
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# 特殊处理：收盘后价格数据停止更新是正常行为
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if name == "价格数据":
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now = datetime.now()
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# 如果是非交易时段(9:30-15:00之外)，不做无数据告警
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if now.hour < 9 or now.hour >= 15 or (now.hour == 9 and now.minute < 30):
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log_ok("数据管道", f"{name} 收盘后正常停止 → OK (最后已更新)")
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continue
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log_issue("数据管道", "HIGH", f"{name}: 无数据 ({producer}→{storage})",
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fix=f"检查{producer}是否正确运行")
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continue
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latest = row[0][:19] if len(row[0]) > 19 else row[0]
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try:
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dt = datetime.fromisoformat(latest) if isinstance(latest, str) else latest
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days_old = (datetime.now() - dt).total_seconds() / 86400
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except:
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days_old = 999
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if days_old > max_days:
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# 收盘后价格数据停止更新是正常行为，放松阈值
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if name == "价格数据":
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now = datetime.now()
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if now.hour < 9 or now.hour >= 15 or (now.hour == 9 and now.minute < 30):
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log_ok("数据管道", f"{name} {days_old*24:.0f}小时前更新(收盘后正常) → OK")
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continue
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log_issue("数据管道", "HIGH",
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f"{name}: {days_old:.0f}天未更新(阈值{max_days}天) 最后{latest} ({producer}→{storage})",
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fix=f"检查{producer}输出和{storage}写入逻辑")
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else:
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log_ok("数据管道", f"{name} {days_old*24:.0f}小时前更新 → OK")
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except Exception as e:
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log_issue("数据管道", "HIGH", f"{name} 检查失败: {e}")
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# 检查 holding_strategies 表策略数量
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try:
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hs_count = conn.execute("SELECT COUNT(*) FROM holding_strategies WHERE status IN ('active','updated')").fetchone()[0]
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if hs_count < 5:
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log_issue("数据管道", "HIGH", f"holding_strategies 仅{hs_count}条策略(异常)", fix="检查策略写入逻辑")
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else:
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log_ok("数据管道", f"holding_strategies {hs_count}条策略")
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except Exception as e:
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log_issue("数据管道", "HIGH", f"holding_strategies检查失败: {e}")
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conn.close()
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def audit_services():
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services = [
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("Dashboard", "http://127.0.0.1:8899/", "200"),
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("mofin-dashboard", None, "active"),
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("xmpp-zhiwei", None, "active"),
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]
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for name, url, expected in services:
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try:
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if url:
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result = subprocess.run(["curl", "-s", "-o", "/dev/null", "-w", "%{http_code}", url],
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capture_output=True, text=True, timeout=5)
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if result.stdout.strip() == expected:
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log_ok("系统服务", f"{name} 正常")
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else:
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log_issue("系统服务", "HIGH", f"{name} 返回 {result.stdout.strip()} (期望{expected})")
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else:
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result = subprocess.run(["systemctl", "is-active", name],
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capture_output=True, text=True, timeout=5)
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if result.stdout.strip() == expected:
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log_ok("系统服务", f"{name} 正常")
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else:
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log_issue("系统服务", "HIGH", f"{name} 状态 {result.stdout.strip()} (期望{expected})")
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except Exception as e:
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log_issue("系统服务", "HIGH", f"{name} 检查失败: {e}")
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# ── 执行 ──
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def main():
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start = time.time()
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conn = sqlite3.connect(str(DATA_DIR / "mofin.db"))
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audit_signals(conn)
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audit_stocks(conn)
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audit_strategies(conn)
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audit_advice(conn)
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audit_portfolio(conn)
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audit_pipeline()
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audit_services()
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audit_cache()
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conn.close()
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REPORT["duration"] = f"{time.time()-start:.0f}s"
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REPORT["summary"] = f"审计完成: {len(REPORT['issues'])}个问题, {len(REPORT['fixes'])}个已修复, {len(REPORT['ok'])}项正常"
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# 写入文件
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(WEB_DATA / "system_audit_report.json").write_text(json.dumps(REPORT, ensure_ascii=False, indent=2))
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# 输出摘要（给cron推送用）
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print(f"【系统审计】{REPORT['summary']}")
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for i in REPORT["issues"]:
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print(f" [{i['severity']}] {i['area']}: {i['desc']}")
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if REPORT["fixes"]:
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for f in REPORT["fixes"]:
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print(f" ✅ 已修复: {f['area']}: {f['desc']}")
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for o in REPORT["ok"]:
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print(f" ✅ {o['area']}: {o['desc']}")
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if __name__ == "__main__":
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main()
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Reference in New Issue
Block a user