feat: 知识管理加更新时间列；趋势管理待补筛选+统计+AI批量补齐人话解读接口

server/src/routes/admin.js

@@ -1157,18 +1157,68 @@ router.get('/login-logs', requirePermission('user:read'), async (req, res) => {
  */
 router.get('/trends', requirePermission('trend:read'), async (req, res) => {
   try {
-    const { page = 1, limit = 20, keyword = '' } = req.query
+    const { page = 1, limit = 20, keyword = '', missing } = req.query
     const query = keyword ? { title: { $regex: escapeRegExp(keyword), $options: 'i' } } : {}
+    if (missing === '1') query.plainExplain = { $in: ['', null, undefined] }
     const total = await Trend.countDocuments(query)
+    const missingCount = await Trend.countDocuments({ plainExplain: { $in: ['', null, undefined] } })
     const items = await Trend.find(query).sort({ newsDate: -1, createdAt: -1 })
       .skip((parseInt(page) - 1) * parseInt(limit)).limit(parseInt(limit)).lean()
-    return ApiResponse.paginated(res, items, { page: parseInt(page), limit: parseInt(limit), total })
+    return res.status(200).json({
+      success: true,
+      message: '查询成功',
+      data: { items, missingCount, pagination: { page: parseInt(page), limit: parseInt(limit), total, totalPages: Math.ceil(total / parseInt(limit)) } },
+    })
   } catch (error) {
     logger.error('获取趋势列表失败:', error)
     return ApiResponse.serverError(res, '获取趋势列表失败')
   }
 })
 
+// AI 批量补齐人话解读（复用 aiChat 的模型配置：数据库活跃模型或环境变量）
+router.post('/trends/fill-plain', requirePermission('trend:write'), async (req, res) => {
+  try {
+    const limit = Math.min(30, parseInt(req.body?.limit) || 20)
+    const missing = await Trend.find({ plainExplain: { $in: ['', null, undefined] } })
+      .sort({ newsDate: -1 }).limit(limit).lean()
+    if (!missing.length) return ApiResponse.success(res, { filled: 0, total: 0 }, '没有待补条目')
+
+    // 取模型配置
+    const active = await AIModel.getActiveModels().catch(() => [])
+    const model = (active && active[0]) || {
+      apiUrl: process.env.OPENAI_API_URL || 'https://api.openai.com/v1/chat/completions',
+      apiKey: process.env.OPENAI_API_KEY,
+      modelId: process.env.OPENAI_MODEL || 'gpt-3.5-turbo',
+    }
+    if (!model.apiKey) return ApiResponse.error(res, '未配置 AI 模型（系统设置→AI模型）', 400)
+
+    let filled = 0
+    for (const t of missing) {
+      try {
+        const prompt = `给下面这条AI行业新闻写两句中文解读。要求：1) 第一句"人话"：用不超过40字的大白话说清这件事；2) 第二句"对你"：说明对普通用户/从业者意味着什么，不超过40字。只输出两行，格式：人话内容\n对你内容\n\n新闻标题：${t.title}\n摘要：${(t.summary || '').slice(0, 200)}`
+        const r = await fetch(model.apiUrl, {
+          method: 'POST',
+          headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${model.apiKey}` },
+          body: JSON.stringify({ model: model.modelId, messages: [{ role: 'user', content: prompt }], max_tokens: 300, temperature: 0.5 }),
+          signal: AbortSignal.timeout(60_000),
+        })
+        const j = await r.json()
+        const text = String(j?.choices?.[0]?.message?.content || '').trim()
+        const lines = text.split('\n').map(x => x.replace(/^(人话|对你)[：:]?\s*/, '').trim()).filter(Boolean)
+        if (lines.length >= 2) {
+          await Trend.updateOne({ _id: t._id }, { plainExplain: lines[0].slice(0, 60), takeAway: lines[1].slice(0, 60) })
+          filled++
+        }
+      } catch (e) { logger.warn('补齐失败:', t.title, e.message) }
+    }
+    const remain = await Trend.countDocuments({ plainExplain: { $in: ['', null, undefined] } })
+    return ApiResponse.success(res, { filled, remain }, `已补齐 ${filled} 条，剩余 ${remain} 条待补`)
+  } catch (error) {
+    logger.error('批量补齐失败:', error)
+    return ApiResponse.serverError(res, '批量补齐失败')
+  }
+})
+
 router.post('/trends', requirePermission('trend:write'), async (req, res) => {
   try {
     const { title, summary, source, sourceUrl, category, tags, hot, picked, newsDate, plainExplain, takeAway } = req.body