知微
4aa884ed31
T001: enrich_timing_signal RR参数降级 T002: price_monitor已有XMPP推送(514-525行) T003: 自选扫描加15:00轮次 T005: 策略数据口径理解完成(非bug) T006: trigger同步(已完成) T004: 截图叙事清理待设计 system_health_check.py CRON_JOBS路径修正→正确的profile路径
268 lines
10 KiB
Python
268 lines
10 KiB
Python
#!/usr/bin/env python3
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"""system_health_check.py — MoFin 系统健康检查
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每日运行，检查所有组件是否正常工作。
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输出报告，有问题才推送。
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"""
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import json, os, sys, subprocess
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from datetime import datetime, timedelta
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from pathlib import Path
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DATA_DIR = Path("/home/hmo/web-dashboard/data")
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DECISIONS_PATH = DATA_DIR / "decisions.json"
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PORTFOLIO_PATH = DATA_DIR / "portfolio.json"
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EVENTS_PATH = DATA_DIR / "price_events.json"
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EVALUATION_PATH = DATA_DIR / "evaluation.json"
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ACCURACY_PATH = DATA_DIR / "accuracy_stats.json"
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CRON_JOBS = "/home/hmo/.hermes/profiles/position-analyst/cron/jobs.json"
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POSITION_CRON = "/home/hmo/.hermes/profiles/position-analyst/cron/jobs.json"
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def check(ok, msg):
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icon = "✅" if ok else "⚠️"
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return f" {icon} {msg}"
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def load_json(path, default=None):
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try:
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with open(path) as f:
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return json.load(f)
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except:
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return {} if default is None else default
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def check_cron_jobs(path, label):
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issues = []
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try:
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d = load_json(path, {"jobs": []})
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for j in d.get("jobs", []):
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name = j.get("name", "?")
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enabled = j.get("enabled", True)
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last = j.get("last_run_at", "")
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status = j.get("last_status", "")
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if not enabled:
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issues.append(f"{name} 已禁用")
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elif not last:
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issues.append(f"{name} 从未运行")
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elif status != "ok":
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issues.append(f"{name} 上次状态={status}")
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return len(d.get("jobs", [])), issues
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except:
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return 0, ["无法读取"]
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def run():
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now = datetime.now()
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issues = []
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ok_count = 0
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warn_count = 0
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lines = [f"MoFin 系统健康检查 | {now.strftime('%Y-%m-%d %H:%M')}"]
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lines.append("")
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# 1. 进程检查
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lines.append("【进程】")
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procs = {
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"mofin-dashboard": "mofin-dashboard",
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"xmpp-zhiwei": "xmpp_zhiwei_bot",
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"ejabberd": "ejabberd",
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}
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for name, pattern in procs.items():
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# 先查 systemd，再查 pgrep
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r = subprocess.run(["systemctl", "is-active", f"{pattern}.service"], capture_output=True, text=True, timeout=5)
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alive = r.stdout.strip() == "active"
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if not alive:
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r2 = subprocess.run(["pgrep", "-f", pattern], capture_output=True, timeout=5)
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alive = r2.returncode == 0
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lines.append(check(alive, f"{name} {'运行中' if alive else '已停止'}"))
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if not alive: issues.append(f"{name} 进程不存在"); warn_count += 1
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else: ok_count += 1
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# 2. 端口检查
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lines.append("")
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lines.append("【端口】")
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ports = {"8899": "Dashboard", "5222": "ejabberd", "8643": "知微Gateway"}
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for port, name in ports.items():
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r = subprocess.run(["ss", "-tlnp"], capture_output=True, text=True, timeout=5)
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listening = f":{port}" in r.stdout
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lines.append(check(listening, f"{name} :{port} {'监听中' if listening else '未监听'}"))
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if not listening: issues.append(f"{name} 端口{port}未监听"); warn_count += 1
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else: ok_count += 1
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# 3. 数据文件检查
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lines.append("")
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lines.append("【数据文件】")
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files = {
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"portfolio.json": PORTFOLIO_PATH,
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"watchlist.json": DATA_DIR / "watchlist.json",
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"decisions.json": DECISIONS_PATH,
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"market.json": DATA_DIR / "market.json",
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"price_events.json": EVENTS_PATH,
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"evaluation.json": EVALUATION_PATH,
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"accuracy_stats.json": ACCURACY_PATH,
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}
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for name, path in files.items():
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exists = path.exists()
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size = path.stat().st_size if exists else 0
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lines.append(check(exists and size > 10, f"{name} {'存在' if exists else '缺失'} ({size}B)"))
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if not exists or size < 10:
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issues.append(f"{name} 缺失或为空")
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warn_count += 1
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else:
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ok_count += 1
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# 4. 价格事件统计
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lines.append("")
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lines.append("【价格事件】")
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try:
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from mofin_db import get_conn, query_price_events, query_price_events_by_date
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conn = get_conn()
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ev_list = query_price_events(conn, limit=50000)
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today_events = query_price_events_by_date(conn, now.strftime("%Y-%m-%d"))
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conn.close()
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except Exception:
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events = load_json(EVENTS_PATH, {"events": []})
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ev_list = events.get("events", [])
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today_events = [e for e in ev_list if e.get("date") == now.strftime("%Y-%m-%d")]
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lines.append(check(len(ev_list) > 0, f"历史事件: {len(ev_list)}条"))
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lines.append(check(len(today_events) > 0, f"今日事件: {len(today_events)}条"))
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if len(ev_list) == 0:
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issues.append("price_events 无事件记录，price_monitor可能未触发过")
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warn_count += 1
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else:
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ok_count += 1
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# 5. 策略评估统计
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lines.append("")
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lines.append("【策略评估】")
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evals = load_json(EVALUATION_PATH, {"strategies": []})
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s_list = evals.get("strategies", [])
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lines.append(check(len(s_list) > 0, f"已评估策略: {len(s_list)}条"))
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if len(s_list) > 0:
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avg = sum(s.get("score", 0) for s in s_list) / len(s_list)
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lines.append(check(avg > 0, f"平均评分: {avg:.1f}/10"))
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ok_count += 1
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else:
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issues.append("evaluation.json 无评估数据")
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warn_count += 1
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# 6. 建议记录统计
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lines.append("")
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lines.append("【建议记录】")
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decisions = load_json(DECISIONS_PATH, {"decisions": []})
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total_advice = sum(len(d.get("advice_timeline", [])) for d in decisions.get("decisions", []))
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lines.append(check(total_advice > 0, f"建议记录: {total_advice}条"))
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if total_advice == 0:
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issues.append("所有策略建议记录为空")
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warn_count += 1
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else:
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ok_count += 1
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# 7. Cron jobs
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lines.append("")
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lines.append("【Cron Jobs】")
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cnt, cron_issues = check_cron_jobs(CRON_JOBS, "default")
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lines.append(check(cnt > 0, f"default profile: {cnt}个job"))
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for ci in cron_issues:
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lines.append(f" ⚠️ {ci}")
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warn_count += 1
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if cnt == 0: warn_count += 1
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cnt2, cron_issues2 = check_cron_jobs(POSITION_CRON, "position-analyst")
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lines.append(check(cnt2 > 0, f"position-analyst: {cnt2}个job"))
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for ci in cron_issues2:
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lines.append(f" ⚠️ {ci}")
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warn_count += 1
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if cnt2 == 0: warn_count += 1
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# 8. 数据新鲜度
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lines.append("")
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lines.append("【数据新鲜度】")
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# 各数据文件的合理最大陈旧时间（小时）
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freshness_thresholds = {
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"portfolio.json": 24, # 每日有数据即可
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"decisions.json": 48, # 策略参数更新频率较低
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"multi_tf_cache.json": 24, # K线缓存每日更新
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"macro_context.json": 24, # 宏观数据每日2次
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"market.json": 48, # 行业数据每日更新
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"strategy_staleness_report.json": 24, # 时效性报告每日生成
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}
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data_files = {
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"portfolio.json": PORTFOLIO_PATH,
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"decisions.json": DECISIONS_PATH,
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"multi_tf_cache.json": DATA_DIR / "multi_tf_cache.json",
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"macro_context.json": DATA_DIR / "macro_context.json",
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"market.json": DATA_DIR / "market.json",
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"strategy_staleness_report.json": DATA_DIR / "strategy_staleness_report.json",
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}
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for name, path in data_files.items():
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if not path.exists():
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lines.append(check(False, f"{name} 缺失"))
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issues.append(f"{name} 文件缺失")
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warn_count += 1
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continue
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mtime = datetime.fromtimestamp(path.stat().st_mtime)
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hours_ago = (now - mtime).total_seconds() / 3600
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threshold = freshness_thresholds.get(name, 24)
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fresh = hours_ago < threshold
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time_str = f"{hours_ago:.0f}h前" if hours_ago >= 1 else f"{hours_ago*60:.0f}分钟前"
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lines.append(check(fresh, f"{name} 更新于 {time_str} (阈值{threshold}h)"))
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if not fresh:
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issues.append(f"{name} 超过{threshold}h未更新（最近更新：{time_str}）")
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warn_count += 1
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else:
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ok_count += 1
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# 数据管道组件检查
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lines.append("")
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lines.append("【数据管道】")
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pipe_checks = [
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("再生器(regenerate_all)", r"strategy_lifecycle\.py"),
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("市场采集(market_watch)", r"market_watch\.py"),
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("宏观采集(macro)", r"macro_context_collector\.py"),
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]
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for pname, ppattern in pipe_checks:
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r = subprocess.run(["pgrep", "-f", ppattern], capture_output=True, timeout=5)
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if r.returncode == 0:
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lines.append(check(True, f"{pname} 进程存在"))
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ok_count += 1
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else:
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# no_agent脚本不常驻，不报warn
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lines.append(" 📎 {} 无常驻进程（no_agent脚本按cron调度运行）".format(pname))
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# 价格数据更新时间检查（盘中应有当日数据）
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is_trading_day = now.weekday() < 5 # 周一到周五
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if is_trading_day and now.hour >= 9 and now.hour < 16:
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if PORTFOLIO_PATH.exists():
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mtime = datetime.fromtimestamp(PORTFOLIO_PATH.stat().st_mtime)
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hours_ago = (now - mtime).total_seconds() / 3600
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has_intraday_data = mtime.date() == now.date()
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lines.append(check(has_intraday_data, f"盘中有当日价格数据 {'是' if has_intraday_data else '否'}(最近{mtime.strftime('%H:%M')})"))
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if not has_intraday_data:
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issues.append(f"盘中交易时段但portfolio.json无今日数据（最近更新{mtime.strftime('%m-%d %H:%M')}）")
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warn_count += 1
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else:
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ok_count += 1
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# 汇总
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total = ok_count + warn_count
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lines.append("")
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lines.append(f"总计: ✅ {ok_count}/{total} 正常 | ⚠️ {warn_count}/{total} 需关注")
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if issues:
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lines.append("")
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lines.append("需关注项:")
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for i, issue in enumerate(issues[:10], 1):
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lines.append(f" {i}. {issue}")
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report = "\n".join(lines)
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print(report)
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# 如果有问题，写入报告文件供推送
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if warn_count > 0:
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report_path = Path("/home/hmo/.hermes/profiles/position-analyst/cron/output/health")
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report_path.mkdir(parents=True, exist_ok=True)
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report_file = report_path / f"health_{now.strftime('%Y%m%d_%H%M')}.md"
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report_file.write_text(f"# MoFin 系统健康检查\n\n{report}")
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print(f"\n报告已写入 {report_file}")
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else:
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print("\n[SILENT] 一切正常")
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if __name__ == "__main__":
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run()
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