merge: pipeline fixes + false-alarm cleanup

deploy/profile-scripts/market_insight.py

@@ -139,8 +139,8 @@ def generate():
         insights.append("风险板块: " + " | ".join(loser_insights[:3]))
 
     # ── 洞察4：资金流向异动 ──
-    big_inflow = [s for s in sectors if s.get("net_inflow", 0) > 50]
+    big_inflow = [s for s in sectors if (s.get("net_inflow") or 0) > 50]
-    big_outflow = [s for s in sectors if s.get("net_inflow", 0) < -50]
+    big_outflow = [s for s in sectors if (s.get("net_inflow") or 0) < -50]
     if big_inflow:
         top = max(big_inflow, key=lambda s: s["net_inflow"])
         insights.append(

deploy/profile-scripts/mofin_health.py

@@ -868,22 +868,95 @@ def build_report():
         })
 
     # JSON文件
+    # 已迁移到DB的旧JSON文件：不再报"无读取方"假警报，真实健康信号看DB表新鲜度
+    MIGRATED_TO_DB = {
+        "multi_tf_cache.json": "mtf_cache",
+        "macro_context.json": "macro_context_log",
+        "market.json": "market_snapshots",
+        "live_prices.json": "live_prices",
+        "price_history.json": "price_events",
+        "macro_risk_state.json": "macro_context_log",
+    }
     json_entities = []
     for jf in sorted(WEB_DATA.glob("*.json")):
         if jf.name == "stocks": continue
         if jf.stem.startswith("temp_"): continue
         readers = flows["json_read"].get(jf.name, [])
         size = jf.stat().st_size / 1024
+        migrated = MIGRATED_TO_DB.get(jf.name)
+        desc = JSON_DESC.get(jf.name, "")
+        if migrated:
+            desc = (desc + " " if desc else "") + f"(已迁移到DB表 {migrated}，此为遗留文件)"
         json_entities.append({
             "name": jf.name,
-            "desc": JSON_DESC.get(jf.name, ""),
+            "desc": desc,
             "size_kb": round(size, 1),
             "readers": readers[:10],
             "writers": [],  # 难以精确追踪
             "last_modified": datetime.fromtimestamp(jf.stat().st_mtime).strftime("%m-%d %H:%M"),
-            "warn": len(readers) == 0 and jf.name not in ("portfolio.json", "market.json"),
+            "warn": (len(readers) == 0 and jf.name not in ("portfolio.json", "market.json")
+                     and not migrated),
+            "migrated_to_db": migrated or None,
         })
 
+    # ── DB表新鲜度：真实数据管道健康信号（替代对遗留JSON文件的mtime检查）──
+    # 注意：活跃数据在 /home/hmo/MoFin/data/mofin.db（live_prices/mtf_cache 今日有写入），
+    # 不用 get_conn()（它指向 web-dashboard 的库，那边部分表是旧的）
+    db_freshness = []
+    FRESHNESS_TABLES = [
+        ("mtf_cache", "updated_at", "多周期均线缓存"),
+        ("macro_context_log", "created_at", "宏观上下文"),
+        ("market_snapshots", "created_at", "市场快照"),
+        ("live_prices", "updated_at", "实时价格"),
+        ("price_events", "created_at", "价格事件"),
+    ]
+    try:
+        _fc = sqlite3.connect("/home/hmo/MoFin/data/mofin.db", timeout=10)
+        for tname, tcol, label in FRESHNESS_TABLES:
+            try:
+                row = _fc.execute(
+                    f"SELECT MAX({tcol}) FROM {tname}").fetchone()
+                if row and row[0]:
+                    last_dt = datetime.fromisoformat(str(row[0]).replace("Z", ""))
+                    age_h = (now - last_dt).total_seconds() / 3600
+                    db_freshness.append({
+                        "table": tname, "label": label,
+                        "last_record": last_dt.strftime("%m-%d %H:%M"),
+                        "age_hours": round(age_h, 1),
+                        "warn": age_h > 24,
+                    })
+                else:
+                    db_freshness.append({"table": tname, "label": label,
+                                         "last_record": None, "age_hours": -1, "warn": True})
+            except Exception:
+                pass  # 表不存在或列名不同，跳过
+        _fc.close()
+    except Exception:
+        pass
+
+    # price_events 特殊处理：活跃存储是 price_events.json（price_monitor 实时写入），
+    # DB 表是旧遗留。读 JSON 最后一条事件的时间。
+    try:
+        _pe_path = Path("/home/hmo/web-dashboard/data/price_events.json")
+        if _pe_path.exists():
+            _pe = json.loads(_pe_path.read_text(encoding="utf-8"))
+            _items = _pe if isinstance(_pe, list) else _pe.get("events", [])
+            if _items:
+                _last = _items[-1]
+                _ts = _last.get("timestamp") or _last.get("created_at") or ""
+                _dt = datetime.fromisoformat(str(_ts).replace("Z", ""))
+                _age = (now - _dt).total_seconds() / 3600
+                # 替换 db_freshness 里 price_events 那条（DB 旧数据）
+                db_freshness = [f for f in db_freshness if f["table"] != "price_events"]
+                db_freshness.append({
+                    "table": "price_events.json", "label": "价格事件",
+                    "last_record": _dt.strftime("%m-%d %H:%M"),
+                    "age_hours": round(_age, 1),
+                    "warn": _age > 24,
+                })
+    except Exception:
+        pass
+
     # ── Tab 3: 流程/cron映射 ──
     pipelines = []
     for j in sorted(cron_jobs, key=lambda x: x.get("name","")):
@@ -912,6 +985,7 @@ def build_report():
         "entities": entities,
         "json_files": json_entities,
         "pipelines": pipelines,
+        "db_freshness": db_freshness,
     }
     out_path = WEB_DATA / "mofin_health.json"
     with open(out_path, "w") as f:

deploy/profile-scripts/premarket_full_review.py

@@ -19,6 +19,23 @@ from strategy_lifecycle import regenerate_all
 result = regenerate_all(stdout=True)
 print(f"\n重评完成: {result.get('ok',0)}/{result.get('total',0)}成功")
 
+# Step 1.5: 持仓 12 维 LLM 深度分析——后台分离执行（12-40分钟，不能阻塞 cron 的 120s 超时）
+print("\n" + "=" * 50)
+print("🧠 持仓12维LLM分析（后台分离启动）")
+print("=" * 50)
+import subprocess as _sp
+analysis_result = {"mode": "detached"}
+try:
+    _log = open("/tmp/holdings_12d_daily.log", "a")
+    _sp.Popen(
+        ["python3", "/home/hmo/.hermes/profiles/position-analyst/scripts/batch_reassess.py",
+         "--type", "holding", "--today"],
+        stdout=_log, stderr=_log, start_new_session=True)
+    print("  ✅ 12维分析已后台启动，日志: /tmp/holdings_12d_daily.log（结果落DB，不阻塞盘前流程）")
+except Exception as e:
+    print(f"  ⚠️ 12维分析启动失败: {e}")
+    analysis_result = {"mode": "detached", "error": str(e)[:100]}
+
 # Step 2: 自选退出
 print("\n" + "=" * 50)
 print("🔍 自选退出检查")

deploy/profile-scripts/price_monitor.py

@@ -581,7 +581,7 @@ def run_once(round_label=""):
     # === 第三步：买入区偏离检测 + 自动重评 ===
     reassesed_codes = []
     # 先做急跌检测（仅持仓，自选股不推送暴跌告警）
-    holdings_codes = {d["code"] for d in active if d.get("shares", 0) > 0}
+    holdings_codes = {d["code"] for d in active if (d.get("shares") or 0) > 0}
     for d in active:
         code = d["code"]
         # 非持仓跳过

deploy/profile-scripts/promote_candidates.py

@@ -10,7 +10,8 @@ from datetime import datetime
 DB_PATH = Path("/home/hmo/MoFin/data/mofin.db")
 
 def main():
-    conn = sqlite3.connect(str(DB_PATH))
+    conn = sqlite3.connect(str(DB_PATH), timeout=30)
+    conn.execute("PRAGMA busy_timeout=30000")
     conn.row_factory = sqlite3.Row
     
     # 读未提拔候选（按评分降序）

scripts/check_default_pool.py

@@ -0,0 +1,9 @@
+import json
+d = json.load(open('/home/hmo/.hermes/auth.json'))
+pool = d.get('credential_pool', {})
+for name, entries in pool.items():
+    if 'custom' in name or 'ocg' in name.lower():
+        for e in entries:
+            print(f"{name}: label={e.get('label')} priority={e.get('priority')} "
+                  f"last_status={e.get('last_status')} err_code={e.get('last_error_code')} "
+                  f"req_count={e.get('request_count')}")

scripts/check_llm_jobs.py

@@ -0,0 +1,11 @@
+import json
+d = json.load(open('/home/hmo/.hermes/cron/jobs.json'))
+jobs = d if isinstance(d, list) else d.get('jobs', [])
+for j in jobs:
+    if j.get('name') in ('wiki-self-growth', 'evolution-pulse', '大脑任务执行', '知识研究-日常', '梦境循环-知识库归并'):
+        print(j['name'])
+        print('  provider:', j.get('provider'), '| model:', j.get('model'), '| base_url:', j.get('base_url'))
+        print('  no_agent:', j.get('no_agent'), '| script:', j.get('script'))
+        print('  timeout:', j.get('timeout'), '| max_turns:', j.get('max_turns'))
+        print('  prompt head:', str(j.get('prompt'))[:120])
+        print()

scripts/check_price_events.py

@@ -0,0 +1,19 @@
+import sqlite3, json
+# price_events in web-dashboard db
+c = sqlite3.connect('/home/hmo/web-dashboard/data/mofin.db')
+try:
+    r = c.execute("SELECT MAX(created_at), COUNT(*) FROM price_events").fetchone()
+    print('web-dashboard mofin.db price_events:', r)
+except Exception as e:
+    print('web-dashboard db err:', e)
+c.close()
+
+# price_events.json tail
+try:
+    d = json.load(open('/home/hmo/web-dashboard/data/price_events.json'))
+    print('price_events.json type:', type(d).__name__, 'len:', len(d) if hasattr(d, '__len__') else '?')
+    items = d if isinstance(d, list) else d.get('events', [])
+    if items:
+        print('last event:', json.dumps(items[-1], ensure_ascii=False)[:250])
+except Exception as e:
+    print('json err:', e)

scripts/check_table_schemas.py

@@ -0,0 +1,9 @@
+import sqlite3
+conn = sqlite3.connect('/home/hmo/MoFin/data/mofin.db')
+for t in ('mtf_cache', 'macro_context_log', 'live_prices', 'price_events', 'market_snapshots'):
+    try:
+        cols = [c[1] for c in conn.execute(f"PRAGMA table_info({t})")]
+        cnt = conn.execute(f"SELECT COUNT(*) FROM {t}").fetchone()[0]
+        print(f"{t}: rows={cnt} cols={cols}")
+    except Exception as e:
+        print(f"{t}: ERROR {e}")

scripts/full_error_inventory.py

@@ -0,0 +1,29 @@
+import json, os
+from datetime import datetime, timezone
+
+now = datetime.now(timezone.utc)
+out = []
+for jf, prof in [('/home/hmo/.hermes/profiles/position-analyst/cron/jobs.json', 'pa'),
+                 ('/home/hmo/.hermes/cron/jobs.json', 'default')]:
+    d = json.load(open(jf))
+    jobs = d if isinstance(d, list) else d.get('jobs', [])
+    for j in jobs:
+        st = j.get('last_status')
+        en = j.get('enabled', True)
+        if st == 'error' or not en:
+            lr = str(j.get('last_run_at') or '?')[:19]
+            err = str(j.get('last_error') or '')[:300].replace('\n', ' | ')
+            out.append({
+                'profile': prof, 'name': j.get('name'), 'script': j.get('script'),
+                'no_agent': j.get('no_agent'), 'status': st, 'enabled': en,
+                'last_run': lr, 'schedule': j.get('schedule_display') or str(j.get('schedule')),
+                'error': err,
+            })
+
+print(f"TOTAL problem jobs: {len(out)}\n")
+for o in out:
+    flag = 'DISABLED' if not o['enabled'] else 'ERROR'
+    print(f"[{flag}] ({o['profile']}) {o['name']}")
+    print(f"  script={o['script']} no_agent={o['no_agent']} sched={o['schedule']} last={o['last_run']}")
+    print(f"  err: {o['error'][:250]}")
+    print()

scripts/get_today_errors.py

@@ -0,0 +1,20 @@
+import json
+
+d = json.load(open('/home/hmo/.hermes/profiles/position-analyst/cron/jobs.json'))
+jobs = d if isinstance(d, list) else d.get('jobs', [])
+targets = ['价格监控-高频', '知微洞察生成', '候选股自动提拔-每30分', '健康监控数据采集-每15分', '盘前全量重评-自选退出']
+for j in jobs:
+    if j.get('name') in targets:
+        print('='*70)
+        print(j['name'], '| last:', str(j.get('last_run_at'))[:19])
+        print(str(j.get('last_error'))[:1200])
+        print()
+
+d2 = json.load(open('/home/hmo/.hermes/cron/jobs.json'))
+jobs2 = d2 if isinstance(d2, list) else d2.get('jobs', [])
+for j in jobs2:
+    if j.get('name') in ('市场数据采集', '记忆守卫-每日', 'wiki-self-growth', 'evolution-pulse', '大脑任务执行'):
+        print('='*70)
+        print('[default]', j['name'], '| last:', str(j.get('last_run_at'))[:19])
+        print(str(j.get('last_error'))[:800])
+        print()

scripts/inv5.py

@@ -0,0 +1,60 @@
+import json, os, subprocess
+from datetime import datetime
+
+now = datetime.now()
+
+print("=== 1. DATA FILES ===")
+for f in ['multi_tf_cache.json', 'macro_context.json']:
+    p = f'/home/hmo/MoFin/data/{f}'
+    if os.path.exists(p):
+        mtime = datetime.fromtimestamp(os.path.getmtime(p))
+        h = (now - mtime).total_seconds() / 3600
+        print(f'{f}: {mtime} ({h:.0f}h ago)')
+    else:
+        print(f'{f}: MISSING')
+
+pm = '/home/hmo/web-dashboard/data/market.json'
+print(f'market.json: {"EXISTS" if os.path.exists(pm) else "MISSING"}')
+
+print()
+print("=== 2. CRON MISSING SCRIPTS in profile scripts dir ===")
+d = json.load(open('/home/hmo/.hermes/profiles/position-analyst/cron/jobs.json'))
+jobs = d if isinstance(d, list) else d.get('jobs', [])
+sdir = '/home/hmo/.hermes/profiles/position-analyst/scripts'
+exist = set(os.listdir(sdir))
+for j in jobs:
+    s = j.get('script', '')
+    if s and s not in exist and j.get('no_agent'):
+        f = subprocess.run(['find', '/home/hmo/MoFin', '-name', s, '-not', '-path', '*/venv/*'], 
+                          capture_output=True, text=True, timeout=15)
+        locs = [l for l in f.stdout.splitlines() if l.strip()]
+        print(f"MISSING: {s} (job: {j.get('name')}) -> {locs[:2] if locs else 'NOT FOUND'}")
+
+print()
+print("=== 3. suggestions table ===")
+r = subprocess.run(['grep', '-rn', 'suggestions', '/home/hmo/MoFin/deploy/profile-scripts/', '--include=*.py'],
+                  capture_output=True, text=True, timeout=10)
+for l in r.stdout.splitlines():
+    if 'suggestions' in l.lower():
+        print(l.strip())
+# Check if any cron references it
+r2 = subprocess.run(['python3', '-c', '''
+import json
+d = json.load(open("/home/hmo/.hermes/profiles/position-analyst/cron/jobs.json"))
+jobs = d if isinstance(d, list) else d.get("jobs", [])
+for j in jobs:
+    if "suggest" in str(j):
+        print(j.get("name",""), j.get("script",""), j.get("prompt","")[:100])
+'''], capture_output=True, text=True, timeout=5)
+print(r2.stdout)
+
+print()
+print("=== 4. price_monitor newspaper ===")
+r = subprocess.run(['grep', '-n', 'newspaper', '/home/hmo/MoFin/deploy/profile-scripts/price_monitor.py'], capture_output=True, text=True, timeout=5)
+print(r.stdout[-500:] if len(r.stdout) > 500 else r.stdout)
+
+print()
+print("=== 5. Which crons generate multi_tf_cache / macro_context ===")
+for j in jobs:
+    if j.get('name') and ('多周期' in j.get('name','') or '宏观' in j.get('name','') or 'multi' in j.get('name','').lower() or 'market' in j.get('name','').lower()):
+        print(f"{j.get('name')}: script={j.get('script','?')} status={j.get('last_status','?')} last_run={j.get('last_run_at','?')} err={str(j.get('last_error',''))[:80]}")

scripts/investigate_5_issues.py

@@ -0,0 +1,47 @@
+import json, os
+
+# 1. Check data pipeline stagnation
+print("=== DATA FILE AGES ===")
+for f in ['multi_tf_cache.json', 'macro_context.json', 'market.json']:
+    p = f'/home/hmo/MoFin/data/{f}'
+    if os.path.exists(p):
+        sec = (os.path.getmtime(p))
+        from datetime import datetime
+        print(f'  {f}: {datetime.fromtimestamp(sec)} ({int((os.path.getmtime(p))/3600)}h ago)')
+    else:
+        print(f'  {f}: MISSING')
+
+# 2. Cron scripts missing from profile scripts dir
+print()
+print("=== MISSING CRON SCRIPTS ===")
+d = json.load(open('/home/hmo/.hermes/profiles/position-analyst/cron/jobs.json'))
+jobs = d if isinstance(d, list) else d.get('jobs', [])
+scripts_dir = '/home/hmo/.hermes/profiles/position-analyst/scripts'
+existing = set(os.listdir(scripts_dir))
+missing = []
+for j in jobs:
+    s = j.get('script', '')
+    if s and s not in existing and j.get('no_agent'):
+        missing.append((j.get('name'), s))
+        print(f'  MISSING: {s} (job: {j.get(\"name\",\"?\")})')
+if not missing:
+    print('  (none missing)')
+
+# 3. Find source locations for missing scripts
+print()
+print("=== FIND MISSING SCRIPTS IN MoFin ===")
+for name, script in missing:
+    import subprocess
+    r = subprocess.run(['find', '/home/hmo/MoFin', '-name', script, '-not', '-path', '*/venv/*'], 
+                      capture_output=True, text=True, timeout=15)
+    found = [l for l in r.stdout.splitlines() if l.strip()]
+    print(f'  {script}: {found if found else "NOT FOUND"}')
+
+# 4. market.json generator
+print()
+print("=== market.json GENERATOR ===")
+r = subprocess.run(['grep', '-rn', "'market.json'", '/home/hmo/MoFin/deploy/profile-scripts/', '/home/hmo/MoFin/scripts/'], 
+                   capture_output=True, text=True, timeout=10)
+for l in r.stdout.splitlines():
+    if 'market.json' in l:
+        print(f'  {l}')

scripts/kanban_create.py

@@ -0,0 +1,39 @@
+import sqlite3, uuid, time
+
+db = sqlite3.connect('/home/hmo/.hermes/kanban.db')
+print("=== statuses ===")
+for r in db.execute("SELECT status, COUNT(*) FROM tasks GROUP BY status"):
+    print(r)
+print()
+# a pending example if any
+r = db.execute("SELECT id, title, status, assignee FROM tasks WHERE status NOT IN ('done','cancelled') LIMIT 5").fetchall()
+for x in r:
+    print(x)
+
+# create the card for zhiwei
+tid = 't_' + uuid.uuid4().hex[:8]
+now = int(time.time())
+title = "12维分析管道已系统化 — 每日自动刷新，请知悉并验证"
+body = """笑笑(Sisyphus)完成系统级修复，知微不用再做任何手动补评。
+
+背景：老爸发现盘前全量重评只更新了技术参数，12维LLM深度分析(full_analysis)为空/陈旧。
+
+已落地的系统改动(已全部部署到246并提交git)：
+1. premarket_full_review.py 新增 Step 1.5：每交易日08:10自动跑 batch_reassess.py --type holding --today，14只持仓12维分析每日强制刷新
+2. batch_reassess.py 升级：--type holding|watchlist|all 全覆盖；分析超20h视为过期自动重评；现金/总资产改为从 portfolio_summary 实时读取(不再硬编码)；港股前缀修复(00700等5位代码)
+3. 新增每日12:30 cron「自选12维分析补全-每日午间」(watchlist_12d_backfill.py)，109只缺分析的自选股每日补全
+4. 验证：300308 已生成1920字12维分析(信号=观望)并写入DB；当前正在后台跑14只持仓的全量补评(/tmp/holdings_12d_backfill.log)
+
+需要知微做的：
+- 验证今天开盘简报/盯盘里能正常引用最新12维分析
+- 观察今日12:30自选补全任务是否正常触发
+- 有问题在kanban回复或XMPP找笑笑"""
+db.execute(
+    "INSERT INTO tasks (id, title, body, assignee, status, priority, created_by, created_at) VALUES (?,?,?,?,?,?,?,?)",
+    (tid, title, body, 'zhiwei', 'pending', 1, 'xxm', now))
+db.commit()
+print()
+print('created:', tid)
+for r in db.execute("SELECT id, title, status, assignee, created_by FROM tasks WHERE id=?", (tid,)):
+    print(r)
+db.close()

scripts/kanban_fix_status.py

@@ -0,0 +1,7 @@
+import sqlite3
+db = sqlite3.connect('/home/hmo/.hermes/kanban.db')
+db.execute("UPDATE tasks SET status='ready' WHERE id='t_2ff55641'")
+db.commit()
+for r in db.execute("SELECT id, status, assignee FROM tasks WHERE id='t_2ff55641'"):
+    print(r)
+db.close()

scripts/kanban_inspect.py

@@ -0,0 +1,13 @@
+import sqlite3, uuid
+from datetime import datetime
+
+db_path = '/home/hmo/.hermes/kanban.db'
+db = sqlite3.connect(db_path)
+# inspect schema
+schema = db.execute("SELECT sql FROM sqlite_master WHERE name='tasks'").fetchone()
+print(schema[0] if schema else 'no tasks table')
+print()
+# recent rows to see id format and fields
+for r in db.execute("SELECT id, title, status, assignee, created_by, created_at FROM tasks ORDER BY created_at DESC LIMIT 5"):
+    print(r)
+db.close()

scripts/notify_user.py

@@ -0,0 +1,24 @@
+import json, urllib.request
+
+msg = """[笑笑] 12维分析管道已系统化完成 ✅
+
+你早上指出的缺口（盘前重评只有技术参数、12维LLM分析为空/陈旧）已从系统层面修复，不是手动缝补：
+
+1️⃣ 盘前管道改造：每交易日 08:10 自动跑持仓12维分析（batch_reassess --type holding --today，每日强制刷新14只）
+2️⃣ batch_reassess 升级：持仓/自选全覆盖、分析超20h自动重评、现金/总资产改从 portfolio_summary 实时读（之前硬编码的是几周前的旧值）、港股前缀修复
+3️⃣ 自选补全：新增每日12:30 cron「自选12维分析补全」，109只缺分析的自选股每日自动补
+4️⃣ 验证：300308 已生成1920字12维分析（观望）写入DB；此刻后台正在跑14只持仓全量补评
+
+代码已提交并同步到246 repo（merge 4dcfee81）。
+已通过 kanban 通知知微（t_2ff55641），让她验证今日开盘简报和12:30自选任务。
+
+另外凌晨的自愈巡检还修了：promote候选崩溃、DB锁、符号链接阻断、candidate_filter等问题，今天开盘应该全部正常。"""
+
+payload = json.dumps({"to": "hmo@yoin.fun", "body": msg, "type": "chat"}).encode()
+req = urllib.request.Request("http://127.0.0.1:5805/", data=payload,
+                             headers={"Content-Type": "application/json"})
+try:
+    resp = urllib.request.urlopen(req, timeout=10)
+    print("XMPP sent:", resp.read().decode()[:100])
+except Exception as e:
+    print("XMPP fail:", e)

scripts/test_freshness_query.py

@@ -0,0 +1,16 @@
+import sqlite3
+from datetime import datetime
+conn = sqlite3.connect('/home/hmo/MoFin/data/mofin.db')
+for t, c in [('mtf_cache','updated_at'),('macro_context_log','created_at'),
+             ('live_prices','updated_at'),('price_events','created_at'),('market_snapshots','created_at')]:
+    try:
+        row = conn.execute(f"SELECT MAX({c}) FROM {t}").fetchone()
+        print(f"{t}.{c} MAX = {row[0]!r}")
+        if row and row[0]:
+            try:
+                dt = datetime.fromisoformat(str(row[0]).replace('Z',''))
+                print(f"   parsed OK: {dt}")
+            except Exception as pe:
+                print(f"   PARSE FAIL: {pe}")
+    except Exception as e:
+        print(f"{t}: QUERY ERROR {e}")

scripts/verify_health_json.py

@@ -0,0 +1,11 @@
+import json
+d = json.load(open('/home/hmo/web-dashboard/static/mofin_health.json'))
+print('generated:', d['generated_at'])
+print('db_freshness:')
+for f in d.get('db_freshness', []):
+    print(f"  {f['label']}({f['table']}): last={f['last_record']} age={f['age_hours']}h warn={f['warn']}")
+print()
+warned = [j['name'] for j in d['json_files'] if j.get('warn')]
+print(f'json_files warned: {len(warned)}')
+migrated = [j['name'] for j in d['json_files'] if j.get('migrated_to_db')]
+print(f'migrated (no longer warned): {migrated}')