关键修复: 不再直读WAL活库(会撞checkpoint报malformed), 改VACUUM INTO每5分钟一致性快照; 前端数据加载失败显式提示+重试; 看板显示快照时间

server.js

@@ -45,8 +45,34 @@ udb.exec(`CREATE TABLE IF NOT EXISTS users (
 )`);
 const userCount = () => udb.prepare('SELECT COUNT(*) c FROM users').get().c;
 
-// ---------- 招聘库(只读) ----------
-const rdb = new Database(RECRUITMENT_DB, { readonly: true });
+// ---------- 招聘库(读快照,不直读活库) ----------
+// 活库是 WAL 模式且被 Hermes 持续写入,直接单文件挂载读会在 checkpoint 期间报
+// "database disk image is malformed"。改为定期 VACUUM INTO 生成一致性快照再读。
+const RECRUITMENT_SRC = process.env.RECRUITMENT_SRC || '';
+const SNAP_PATH = RECRUITMENT_DB;                       // 读取目标=快照文件
+let snapshotAt = null;
+function makeSnapshot() {
+  if (!RECRUITMENT_SRC) return;                          // 未配置源=直接读单文件模式(仅测试)
+  const tmp = SNAP_PATH + '.tmp';
+  try {
+    const src = new Database(RECRUITMENT_SRC, { readonly: true });
+    fs.rmSync(tmp, { force: true });
+    src.exec(`VACUUM INTO '${tmp}'`);
+    src.close();
+    fs.renameSync(tmp, SNAP_PATH);
+    snapshotAt = new Date().toISOString();
+    console.log(`[snapshot] ok ${snapshotAt}`);
+  } catch (e) {
+    console.log(`[snapshot] failed(继续用旧快照): ${String(e.message).slice(0, 120)}`);
+  }
+}
+if (RECRUITMENT_SRC) {
+  makeSnapshot();                                        // 启动先做一次
+  setInterval(makeSnapshot, 5 * 60 * 1000).unref();      // 每5分钟刷新
+} else {
+  snapshotAt = fs.existsSync(SNAP_PATH) ? fs.statSync(SNAP_PATH).mtime.toISOString() : null;
+}
+const rdb = new Database(SNAP_PATH, { readonly: true });
 
 // ---------- 会话(内存态,重启需重登) ----------
 const sessions = new Map(); // sid -> { uid, role, expires }
@@ -122,6 +148,7 @@ function requireSuper(req, res, next) {
 app.get('/api/stats', requireAuth, (req, res) => {
   const today = new Date(Date.now() + 8 * 3600e3).toISOString().slice(0, 10);
   res.json({
+    snapshotAt,
     total: rdb.prepare('SELECT COUNT(*) c FROM candidates').get().c,
     today: rdb.prepare("SELECT COUNT(*) c FROM candidates WHERE scraped_at >= ?").get(today + 'T00:00').c,
     greetedTotal: rdb.prepare('SELECT COUNT(*) c FROM candidates WHERE greeted = 1').get().c,