fix: system_audit/stale_push_wlin/refresh_mtf → DB, remove final JSON refs
This commit is contained in:
知微
@@ -1,98 +1,94 @@
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#!/usr/bin/env python3
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"""多周期缓存刷新脚本 — 在开盘前预填充K线数据
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为所有持仓+自选股预先拉取日/周/月K线，写入 multi_tf_cache.json，
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这样收盘后全量重评(regenerate_all)运行时K线数据已有缓存，无需逐个拉取。
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运行时间：每天9:00（开盘前），no_agent模式。
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无输出 = 成功（避免每天收到无意义消息）。
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"""
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import sys
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import os
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import json
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from datetime import datetime
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# 确保能找到 web-dashboard 模块
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sys.path.insert(0, "/home/hmo/web-dashboard")
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# 控制台UTC日志
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def log(msg):
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ts = datetime.utcnow().strftime("%H:%M:%S")
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print(f"[{ts}] {msg}", file=sys.stderr)
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def main():
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from strategy_lifecycle import safe_json_load, PORTFOLIO_PATH, WATCHLIST_PATH
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# 收集所有股票代码
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codes = []
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for item in safe_json_load(PORTFOLIO_PATH, {}).get("holdings", []):
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code = item.get("code", "")
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if code:
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codes.append(("portfolio", code))
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seen = set(c[1] for c in codes)
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for item in safe_json_load(WATCHLIST_PATH, {}).get("stocks", []):
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code = item.get("code", "")
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if code and code not in seen:
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codes.append(("watchlist", code))
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seen.add(code)
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# 加入指数代码（用于多周期趋势研判）
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INDEXES = {
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"sh000001": "上证指数", "sz399001": "深证成指",
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"sz399006": "创业板指", "sh000688": "科创50",
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"hkHSI": "恒生指数", "hkHSTECH": "恒生科技",
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}
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for idx_code in INDEXES:
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if idx_code not in seen:
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codes.append(("index", idx_code))
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seen.add(idx_code)
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log(f"Pre-populating multi-timeframe cache for {len(codes)} stocks...")
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# 检查当前缓存，只更新需要更新的
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mtf_cache_path = "/home/hmo/web-dashboard/data/multi_tf_cache.json"
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try:
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with open(mtf_cache_path) as f:
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existing = json.load(f)
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except (FileNotFoundError, json.JSONDecodeError):
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existing = {}
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import time
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from multi_timeframe import full_multi_tf_analysis
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cached = 0
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fetched = 0
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errors = 0
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for source, code in codes:
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cached_entry = existing.get(code, {})
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updated_at = cached_entry.get("updated_at", 0)
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now = time.time()
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# 检查缓存是否新鲜：日K 1小时内，周/月K 1天内
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has_daily = bool(cached_entry.get("daily"))
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has_weekly = bool(cached_entry.get("weekly"))
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has_monthly = bool(cached_entry.get("monthly"))
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cache_fresh = (updated_at > 0 and (now - updated_at) < 3600)
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if has_daily and has_weekly and has_monthly and cache_fresh:
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cached += 1
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continue
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try:
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r = full_multi_tf_analysis(code)
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if any(k in r for k in ["daily", "weekly", "monthly"]):
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fetched += 1
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log(f" OK {code} ({source})")
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else:
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errors += 1
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log(f" EMPTY {code} ({source})")
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except Exception as e:
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errors += 1
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log(f" FAIL {code} ({source}): {e}")
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log(f"Done: {cached} cached, {fetched} fetched, {errors} errors")
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if __name__ == "__main__":
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main()
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#!/usr/bin/env python3
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"""多周期缓存刷新脚本 — 在开盘前预填充K线数据
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为所有持仓+自选股预先拉取日/周/月K线，写入 multi_tf_cache.json，
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这样收盘后全量重评(regenerate_all)运行时K线数据已有缓存，无需逐个拉取。
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运行时间：每天9:00（开盘前），no_agent模式。
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无输出 = 成功（避免每天收到无意义消息）。
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"""
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import sys
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import os
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import json
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from datetime import datetime
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# 确保能找到 web-dashboard 模块
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sys.path.insert(0, "/home/hmo/web-dashboard")
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# 控制台UTC日志
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def log(msg):
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ts = datetime.utcnow().strftime("%H:%M:%S")
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print(f"[{ts}] {msg}", file=sys.stderr)
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def main():
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from strategy_lifecycle import safe_json_load, PORTFOLIO_PATH, WATCHLIST_PATH
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# 收集所有股票代码
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codes = []
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for item in safe_json_load(PORTFOLIO_PATH, {}).get("holdings", []):
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code = item.get("code", "")
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if code:
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codes.append(("portfolio", code))
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seen = set(c[1] for c in codes)
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for item in safe_json_load(WATCHLIST_PATH, {}).get("stocks", []):
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code = item.get("code", "")
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if code and code not in seen:
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codes.append(("watchlist", code))
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seen.add(code)
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# 加入指数代码（用于多周期趋势研判）
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INDEXES = {
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"sh000001": "上证指数", "sz399001": "深证成指",
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"sz399006": "创业板指", "sh000688": "科创50",
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"hkHSI": "恒生指数", "hkHSTECH": "恒生科技",
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}
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for idx_code in INDEXES:
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if idx_code not in seen:
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codes.append(("index", idx_code))
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seen.add(idx_code)
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log(f"Pre-populating multi-timeframe cache for {len(codes)} stocks...")
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# 从 DB 读取现有缓存（替代 multi_tf_cache.json）
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from multi_timeframe import _load_mtf_cache, _save_mtf_cache
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existing = _load_mtf_cache()
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import time
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from multi_timeframe import full_multi_tf_analysis
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cached = 0
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fetched = 0
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errors = 0
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for source, code in codes:
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cached_entry = existing.get(code, {})
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updated_at = cached_entry.get("updated_at", 0)
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now = time.time()
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# 检查缓存是否新鲜：日K 1小时内，周/月K 1天内
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has_daily = bool(cached_entry.get("daily"))
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has_weekly = bool(cached_entry.get("weekly"))
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has_monthly = bool(cached_entry.get("monthly"))
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cache_fresh = (updated_at > 0 and (now - updated_at) < 3600)
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if has_daily and has_weekly and has_monthly and cache_fresh:
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cached += 1
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continue
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try:
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r = full_multi_tf_analysis(code)
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if any(k in r for k in ["daily", "weekly", "monthly"]):
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fetched += 1
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log(f" OK {code} ({source})")
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else:
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errors += 1
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log(f" EMPTY {code} ({source})")
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except Exception as e:
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errors += 1
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log(f" FAIL {code} ({source}): {e}")
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log(f"Done: {cached} cached, {fetched} fetched, {errors} errors")
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if __name__ == "__main__":
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main()
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+900
-897
File diff suppressed because it is too large
Load Diff
+239
-247
@@ -1,247 +1,239 @@
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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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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)").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{unproc}条")
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if unproc > 30:
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log_issue("信号管道", "HIGH", f"未处理信号堆积{unproc}条，可能处理速度跟不上")
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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 = json.loads((WEB_DATA / "watchlist.json").read_text())
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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 = json.loads((WEB_DATA / "decisions.json").read_text())
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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 = json.loads((WEB_DATA / "decisions.json").read_text())
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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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# 优先从 portfolio.json 读总仓位（更准确，基于实际市值/总资产）
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pj_path = WEB_DATA / "portfolio.json"
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if not pj_path.exists():
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pj_path = DATA_DIR / "portfolio.json"
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if pj_path.exists():
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pj = json.loads(pj_path.read_text())
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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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else:
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# 兜底：SQLite position_pct 之和
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pos = conn.execute("SELECT SUM(position_pct) FROM holdings WHERE is_active=1").fetchone()[0] or 0
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available = 0
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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 ──
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def audit_pipeline():
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# 检查DB市场数据是否今天更新
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try:
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conn = sqlite3.connect(str(DATA_DIR / "mofin.db"))
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row = conn.execute(
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"SELECT created_at FROM market_snapshots ORDER BY created_at DESC LIMIT 1"
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).fetchone()
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conn.close()
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if row and row[0][:10] == datetime.now().strftime("%Y-%m-%d"):
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log_ok("数据管道", f"市场数据今天更新({row[0]})")
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else:
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log_issue("数据管道", "HIGH", f"市场数据未更新(DB), 最后{row[0] if row else '无数据'}")
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except Exception as e:
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log_issue("数据管道", "HIGH", f"DB检查失败: {e}")
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# ── 7. 系统服务 ──
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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],
|
||||
capture_output=True, text=True, timeout=5)
|
||||
if result.stdout.strip() == expected:
|
||||
log_ok("系统服务", f"{name} 正常")
|
||||
else:
|
||||
log_issue("系统服务", "HIGH", f"{name} 返回 {result.stdout.strip()} (期望{expected})")
|
||||
else:
|
||||
result = subprocess.run(["systemctl", "is-active", name],
|
||||
capture_output=True, text=True, timeout=5)
|
||||
if result.stdout.strip() == expected:
|
||||
log_ok("系统服务", f"{name} 正常")
|
||||
else:
|
||||
log_issue("系统服务", "HIGH", f"{name} 状态 {result.stdout.strip()} (期望{expected})")
|
||||
except Exception as e:
|
||||
log_issue("系统服务", "HIGH", f"{name} 检查失败: {e}")
|
||||
|
||||
|
||||
# ── 执行 ──
|
||||
def main():
|
||||
start = time.time()
|
||||
conn = sqlite3.connect(str(DATA_DIR / "mofin.db"))
|
||||
|
||||
audit_signals(conn)
|
||||
audit_stocks(conn)
|
||||
audit_strategies(conn)
|
||||
audit_advice(conn)
|
||||
audit_portfolio(conn)
|
||||
audit_pipeline()
|
||||
audit_services()
|
||||
audit_cache()
|
||||
|
||||
conn.close()
|
||||
|
||||
REPORT["duration"] = f"{time.time()-start:.0f}s"
|
||||
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"
|
||||
|
||||
# 写入文件
|
||||
(WEB_DATA / "system_audit_report.json").write_text(json.dumps(REPORT, ensure_ascii=False, indent=2))
|
||||
|
||||
# 输出摘要（给cron推送用）
|
||||
print(f"【系统审计】{REPORT['summary']}")
|
||||
for i in REPORT["issues"]:
|
||||
print(f" [{i['severity']}] {i['area']}: {i['desc']}")
|
||||
if REPORT["fixes"]:
|
||||
for f in REPORT["fixes"]:
|
||||
print(f" ✅ 已修复: {f['area']}: {f['desc']}")
|
||||
for o in REPORT["ok"]:
|
||||
print(f" ✅ {o['area']}: {o['desc']}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
#!/usr/bin/env python3
|
||||
"""system_audit.py — MoFin 全局系统审计
|
||||
|
||||
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。
|
||||
|
||||
审计维度：
|
||||
1. 信号管道 — 今日signal_news产出vs处理量，有积压则预警
|
||||
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
|
||||
3. 策略状态 — 过期/偏离/无止损等异常策略
|
||||
4. 建议闭环 — pending超过7天的未执行建议
|
||||
5. 组合健康 — 弱势占比、仓位集中度、现金水位
|
||||
6. 数据管道 — 今日采集是否正常、有无cron报错
|
||||
7. 系统服务 — Dashboard/XMPP/小果API在线状态
|
||||
|
||||
输出：JSON + 摘要文本，推送给老爸。
|
||||
"""
|
||||
|
||||
import json, sqlite3, subprocess, sys, time
|
||||
from pathlib import Path
|
||||
from datetime import datetime, timedelta
|
||||
from mo_data import read_portfolio, read_decisions, read_watchlist
|
||||
|
||||
DATA_DIR = Path("/home/hmo/MoFin/data")
|
||||
WEB_DATA = Path("/home/hmo/web-dashboard/data")
|
||||
REPORT = {"timestamp": datetime.now().isoformat(), "issues": [], "fixes": [], "ok": []}
|
||||
|
||||
|
||||
def log_issue(area, severity, desc, fix=None):
|
||||
REPORT["issues"].append({"area": area, "severity": severity, "desc": desc, "suggested_fix": fix})
|
||||
|
||||
|
||||
def log_fix(area, desc):
|
||||
REPORT["fixes"].append({"area": area, "desc": desc})
|
||||
|
||||
|
||||
def log_ok(area, desc):
|
||||
REPORT["ok"].append({"area": area, "desc": desc})
|
||||
|
||||
|
||||
# ── 1. 信号管道审计 ──
|
||||
def audit_signals(conn):
|
||||
try:
|
||||
total = conn.execute("SELECT COUNT(*) FROM signal_news").fetchone()[0]
|
||||
unproc = conn.execute("SELECT COUNT(*) FROM signal_news WHERE source LIKE 'xiaoguo%' AND (processed=0 OR processed IS NULL)").fetchone()[0]
|
||||
today = conn.execute("SELECT COUNT(*) FROM signal_news WHERE created_at > datetime('now','-1 day')").fetchone()[0]
|
||||
log_ok("信号管道", f"信号库{total}条，今日{today}条，未处理{unproc}条")
|
||||
if unproc > 30:
|
||||
log_issue("信号管道", "HIGH", f"未处理信号堆积{unproc}条，可能处理速度跟不上")
|
||||
except Exception as e:
|
||||
log_issue("信号管道", "HIGH", f"查询失败: {e}")
|
||||
|
||||
|
||||
# ── 2. 股票生命周期审计 ──
|
||||
def audit_stocks(conn):
|
||||
# 关注列表
|
||||
try:
|
||||
wl = read_watchlist()
|
||||
watching = [s for s in wl.get("stocks", []) if s.get("status") == "watching"]
|
||||
formal = [s for s in wl.get("stocks", []) if s.get("status") != "watching"]
|
||||
log_ok("股票池", f"正式自选{len(formal)}只, 关注列表{len(watching)}只")
|
||||
|
||||
# 检查持仓中是否有已关闭但未标记的
|
||||
closed_holdings = conn.execute("SELECT COUNT(*) FROM holdings WHERE is_active=0").fetchone()[0]
|
||||
active_holdings = conn.execute("SELECT COUNT(*) FROM holdings WHERE is_active=1").fetchone()[0]
|
||||
if closed_holdings > 0:
|
||||
log_ok("股票池", f"持有中{active_holdings}只活跃, {closed_holdings}只已关闭")
|
||||
except Exception as e:
|
||||
log_issue("股票池", "MEDIUM", f"查询失败: {e}")
|
||||
|
||||
|
||||
# ── 3. 策略状态审计 ──
|
||||
def audit_strategies(conn):
|
||||
try:
|
||||
dec = read_decisions()
|
||||
active = [d for d in dec.get("decisions", []) if d.get("status") in ("active", "updated")]
|
||||
stale_count = 0
|
||||
no_stop = 0
|
||||
for d in active:
|
||||
# 检查是否有止损
|
||||
if not d.get("stop_loss"):
|
||||
no_stop += 1
|
||||
# 检查是否过期（>14天）
|
||||
ts = d.get("timestamp", "")
|
||||
if ts:
|
||||
try:
|
||||
dt = datetime.fromisoformat(ts)
|
||||
if (datetime.now() - dt).days > 14:
|
||||
stale_count += 1
|
||||
except:
|
||||
pass
|
||||
log_ok("策略", f"活跃策略{len(active)}条")
|
||||
if stale_count > 0:
|
||||
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")
|
||||
if no_stop > 0:
|
||||
log_issue("策略", "HIGH", f"{no_stop}条活跃策略缺少止损位")
|
||||
except Exception as e:
|
||||
log_issue("策略", "HIGH", f"查询失败: {e}")
|
||||
|
||||
|
||||
# ── 4. 建议闭环审计 ──
|
||||
def audit_advice(conn):
|
||||
try:
|
||||
dec = read_decisions()
|
||||
pending = 0
|
||||
for d in dec.get("decisions", []):
|
||||
for a in d.get("advice_timeline", []):
|
||||
if a.get("status") == "pending":
|
||||
pending += 1
|
||||
if pending > 0:
|
||||
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")
|
||||
else:
|
||||
log_ok("建议", "无待处理建议")
|
||||
except Exception as e:
|
||||
log_issue("建议", "MEDIUM", f"查询失败: {e}")
|
||||
|
||||
|
||||
# ── 5. 组合健康 ──
|
||||
def audit_portfolio(conn):
|
||||
try:
|
||||
pj = read_portfolio()
|
||||
pos = pj.get("position_pct", 0)
|
||||
cash = pj.get("cash", 0)
|
||||
available = pj.get("available_cash", cash)
|
||||
|
||||
log_ok("组合", f"总仓位{pos:.1f}%")
|
||||
if pos > 90:
|
||||
log_issue("组合", "MEDIUM", f"仓位{pos:.1f}%超过90%，现金紧张")
|
||||
elif pos < 30:
|
||||
log_issue("组合", "LOW", f"仓位仅{pos:.1f}%，现金过多")
|
||||
except Exception as e:
|
||||
log_issue("组合", "MEDIUM", f"查询失败: {e}")
|
||||
|
||||
|
||||
# ── 8. 编译缓存审计 ──
|
||||
def audit_cache():
|
||||
"""检查 __pycache__ 中是否有比 .py 源文件更老的 .pyc（陈旧缓存）。"""
|
||||
try:
|
||||
base = Path(__file__).resolve().parent
|
||||
stale = []
|
||||
for pyc in base.rglob("__pycache__/*.pyc"):
|
||||
py = pyc.with_suffix("") # remove .cpython-*.pyc extension
|
||||
# The .py file is at parent_of___pycache__ / stem_without_cpython_suffix
|
||||
# e.g., __pycache__/foo.cpython-312.pyc -> ../foo.py
|
||||
stem = pyc.stem # e.g. "foo.cpython-312"
|
||||
# Remove the .cpython-NNN suffix to get original module name
|
||||
import re
|
||||
m = re.match(r"^(.*?)\.cpython-\d+", stem)
|
||||
if not m:
|
||||
continue
|
||||
py_path = pyc.parent.parent / f"{m.group(1)}.py"
|
||||
if py_path.exists() and pyc.stat().st_mtime < py_path.stat().st_mtime:
|
||||
stale.append(str(py_path.name))
|
||||
if stale:
|
||||
log_issue("编译缓存", "MEDIUM", f"{len(stale)}个陈旧.pyc：{', '.join(stale)}", "删除对应__pycache__/.pyc")
|
||||
else:
|
||||
log_ok("编译缓存", "所有.pyc文件与源文件一致")
|
||||
except Exception as e:
|
||||
log_issue("编译缓存", "LOW", f"检查失败: {e}")
|
||||
|
||||
|
||||
# ── 6. 数据管道审计 ──
|
||||
def audit_pipeline():
|
||||
# 检查DB市场数据是否今天更新
|
||||
try:
|
||||
conn = sqlite3.connect(str(DATA_DIR / "mofin.db"))
|
||||
row = conn.execute(
|
||||
"SELECT created_at FROM market_snapshots ORDER BY created_at DESC LIMIT 1"
|
||||
).fetchone()
|
||||
conn.close()
|
||||
if row and row[0][:10] == datetime.now().strftime("%Y-%m-%d"):
|
||||
log_ok("数据管道", f"市场数据今天更新({row[0]})")
|
||||
else:
|
||||
log_issue("数据管道", "HIGH", f"市场数据未更新(DB), 最后{row[0] if row else '无数据'}")
|
||||
except Exception as e:
|
||||
log_issue("数据管道", "HIGH", f"DB检查失败: {e}")
|
||||
|
||||
|
||||
# ── 7. 系统服务 ──
|
||||
def audit_services():
|
||||
services = [
|
||||
("Dashboard", "http://127.0.0.1:8899/", "200"),
|
||||
("mofin-dashboard", None, "active"),
|
||||
("xmpp-zhiwei", None, "active"),
|
||||
]
|
||||
for name, url, expected in services:
|
||||
try:
|
||||
if url:
|
||||
result = subprocess.run(["curl", "-s", "-o", "/dev/null", "-w", "%{http_code}", url],
|
||||
capture_output=True, text=True, timeout=5)
|
||||
if result.stdout.strip() == expected:
|
||||
log_ok("系统服务", f"{name} 正常")
|
||||
else:
|
||||
log_issue("系统服务", "HIGH", f"{name} 返回 {result.stdout.strip()} (期望{expected})")
|
||||
else:
|
||||
result = subprocess.run(["systemctl", "is-active", name],
|
||||
capture_output=True, text=True, timeout=5)
|
||||
if result.stdout.strip() == expected:
|
||||
log_ok("系统服务", f"{name} 正常")
|
||||
else:
|
||||
log_issue("系统服务", "HIGH", f"{name} 状态 {result.stdout.strip()} (期望{expected})")
|
||||
except Exception as e:
|
||||
log_issue("系统服务", "HIGH", f"{name} 检查失败: {e}")
|
||||
|
||||
|
||||
# ── 执行 ──
|
||||
def main():
|
||||
start = time.time()
|
||||
conn = sqlite3.connect(str(DATA_DIR / "mofin.db"))
|
||||
|
||||
audit_signals(conn)
|
||||
audit_stocks(conn)
|
||||
audit_strategies(conn)
|
||||
audit_advice(conn)
|
||||
audit_portfolio(conn)
|
||||
audit_pipeline()
|
||||
audit_services()
|
||||
audit_cache()
|
||||
|
||||
conn.close()
|
||||
|
||||
REPORT["duration"] = f"{time.time()-start:.0f}s"
|
||||
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"
|
||||
|
||||
# 写入文件
|
||||
(WEB_DATA / "system_audit_report.json").write_text(json.dumps(REPORT, ensure_ascii=False, indent=2))
|
||||
|
||||
# 输出摘要（给cron推送用）
|
||||
print(f"【系统审计】{REPORT['summary']}")
|
||||
for i in REPORT["issues"]:
|
||||
print(f" [{i['severity']}] {i['area']}: {i['desc']}")
|
||||
if REPORT["fixes"]:
|
||||
for f in REPORT["fixes"]:
|
||||
print(f" ✅ 已修复: {f['area']}: {f['desc']}")
|
||||
for o in REPORT["ok"]:
|
||||
print(f" ✅ {o['area']}: {o['desc']}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
||||
Reference in New Issue
Block a user