综合训练（多物种合并模型）全链路：合并打包/独立版本序列/App 覆盖互斥 + 管理端发布入口

- 后端：/admin/trainings/combined 发起（≥2 数据集、类别重映射、防重名、负样本单份）；
  model_training/model_version 加 kind+dataset_ids（迁移 v14），综合任务 dataset_id=0、
  文件基名 combined(_n)、版本序列独立；训练列表补 published 标记
- 管理端：数据训练页工具栏发起综合训练；横幅常驻进行中任务 + 每档最近一条已结束任务，
  成功未发布给「发布模型」入口（可关闭收起）
- App：目录解析 kind/datasetIds、激活覆盖互斥、自动更新退场改目标档待办横幅手动一键下载

server_admin/src/views/Datasets.vue

@@ -1,7 +1,7 @@
 <script setup>
 import { computed, onBeforeUnmount, onMounted, reactive, ref, watch } from 'vue'
 import { ElMessage, ElMessageBox } from 'element-plus'
-import { EditPen, Loading, Picture, Plus, VideoPlay } from '@element-plus/icons-vue'
+import { EditPen, Loading, Picture, Plus, Share, VideoPlay } from '@element-plus/icons-vue'
 import { useRouter } from 'vue-router'
 import request from '../api/request'
 import FalseTargets from './FalseTargets.vue'
@@ -267,6 +267,101 @@ function resetCoverState() {
   coverDeleted.value = false
 }
 
+// ---------- 综合训练（2026-09-09）：多数据集合并训练一个全类模型 ----------
+const combinedDlg = ref(false)
+const combinedIds = ref([]) // 勾选的数据集 id（≥2）
+const combinedVariants = ref(['s', 'n']) // 档位（s=高精度 n=高性能）
+const combinedSubmitting = ref(false)
+const combinedAll = ref([]) // 最近拉取的综合任务（/trainings 倒序，最多 50 条）
+const combinedDismissed = ref([]) // 已结束任务本会话关闭的 id（发布/失败回看后收起）
+// 横幅行 = 进行中任务（queued/running）+ 每档位最近一条已结束任务（成功未发布=发布入口，
+// 发布过/失败仅状态回看）；只留最近一条避免横幅被历史任务堆满
+const combinedRows = computed(() => {
+  const all = combinedAll.value.filter((t) => !combinedDismissed.value.includes(t.id))
+  const active = all.filter((t) => t.status === 'running' || t.status === 'queued')
+  const latestDone = {}
+  for (const t of all) {
+    if (t.status !== 'success' && t.status !== 'failed') continue
+    if (!latestDone[t.variant] || t.id > latestDone[t.variant].id) latestDone[t.variant] = t
+  }
+  return [...active, ...Object.values(latestDone)]
+})
+
+const variantLabels = { s: '高精度', n: '高性能' }
+
+function openCombined() {
+  if (list.value.length < 2) {
+    ElMessage.warning('综合训练至少需要 2 个数据集')
+    return
+  }
+  combinedIds.value = []
+  combinedVariants.value = ['s', 'n']
+  combinedDlg.value = true
+}
+
+function combinedSubmit() {
+  if (combinedIds.value.length < 2) {
+    ElMessage.warning('请至少勾选 2 个数据集')
+    return
+  }
+  if (!combinedVariants.value.length) {
+    ElMessage.warning('请选择训练档位')
+    return
+  }
+  combinedSubmitting.value = true
+  request
+    .post('/trainings/combined', {
+      datasetIds: combinedIds.value,
+      variants: combinedVariants.value,
+    })
+    .then(() => {
+      ElMessage.success('综合训练已发起，进入队列')
+      combinedDlg.value = false
+      loadCombined()
+    })
+    .finally(() => {
+      combinedSubmitting.value = false
+    })
+}
+
+function loadCombined() {
+  request
+    .get('/trainings', { params: { page: 1, size: 50 } })
+    .then((data) => {
+      combinedAll.value = (data.list || []).filter((t) => t.kind === 'combined')
+    })
+    .catch(() => {})
+}
+
+function cancelCombined(t) {
+  ElMessageBox.confirm(`终止${t.status === 'queued' ? '排队中的' : '运行中的'}综合训练（${variantLabels[t.variant]}）？`, '取消综合训练', { type: 'warning' })
+    .then(() => request.post('/trainings/cancel', { id: t.id }).then(() => {
+      ElMessage.success('已取消')
+      loadCombined()
+    }))
+    .catch(() => {})
+}
+
+// 发布综合模型版本：任务成功即直写 trainings/combined(_n).tflite，发布只落版本记录
+function publishCombined(t) {
+  ElMessageBox.confirm(
+    `确定将综合模型 ${variantLabels[t.variant]}档（训练 #${t.id}「${t.name || ''}」）结果发布为模型版本？版本号综合序列独立自增，App 按识别档位热更新下载。`,
+    '发布模型版本',
+    { confirmButtonText: '发布', cancelButtonText: '取消', type: 'warning' },
+  )
+    .then(() => request.post('/trainings/publish', { id: t.id }))
+    .then((data) => {
+      ElMessage.success(`已发布版本 ${data.version}`)
+      loadCombined()
+    })
+    .catch(() => {})
+}
+
+// 关闭横幅中已结束任务的回看行（本会话内不再展示；进行中任务不可关）
+function dismissCombined(t) {
+  combinedDismissed.value.push(t.id)
+}
+
 function openCreate() {
   Object.assign(dlgForm, {
     mode: 'create',
@@ -583,8 +678,10 @@ let trainPoll = null
 onMounted(() => {
   load()
   loadFtPendingCount()
+  loadCombined()
   trainPoll = setInterval(() => {
     if (list.value.some((r) => trList(r).some((t) => t.status === 'running'))) load()
+    if (combinedRows.value.some((t) => t.status === 'running' || t.status === 'queued')) loadCombined()
   }, 10000)
 })
 
@@ -620,10 +717,58 @@ onBeforeUnmount(() => {
         <el-button @click="search">搜索</el-button>
       </div>
       <div class="toolbar-right">
+        <el-button :icon="Share" @click="openCombined">综合训练</el-button>
         <el-button type="primary" :icon="Plus" @click="openCreate">新建数据集</el-button>
       </div>
     </div>
 
+    <!-- 综合训练横幅：进行中任务进度 + 每档位最近一条已结束任务（综合任务 dataset_id=0
+         不归属任何数据集卡片，成功未发布在此给发布入口；失败/已发布可「关闭」收起） -->
+    <div v-if="combinedRows.length" class="combined-strip">
+      <div v-for="t in combinedRows" :key="t.id" class="combined-line">
+        <el-tag type="warning" size="small">综合训练</el-tag>
+        <span class="combined-name">{{ variantLabels[t.variant] }}档</span>
+        <template v-if="t.status === 'running'">
+          <el-progress
+            class="combined-bar"
+            :percentage="trainPercent(t)"
+            :stroke-width="6"
+            :show-text="false"
+          />
+          <span class="combined-text">{{ t.currentEpoch || 0 }}/{{ t.totalEpochs || '-' }} 轮</span>
+          <span v-if="t.etaMinutes" class="combined-text">· 剩余约 {{ etaText(t.etaMinutes) }}</span>
+        </template>
+        <el-tag v-else-if="t.status === 'queued'" size="small" type="info">排队中</el-tag>
+        <template v-else-if="t.status === 'success'">
+          <el-tag type="success" size="small">已完成</el-tag>
+          <el-button
+            v-if="!t.published"
+            size="small"
+            type="success"
+            class="ds-pub"
+            @click="publishCombined(t)"
+          >
+            发布模型
+          </el-button>
+          <span v-else class="combined-text">已发布</span>
+        </template>
+        <el-tooltip v-else-if="t.status === 'failed' && t.error" :content="t.error" placement="top">
+          <el-tag type="danger" size="small">失败</el-tag>
+        </el-tooltip>
+        <el-tag v-else type="danger" size="small">失败</el-tag>
+        <el-button
+          v-if="t.status === 'running' || t.status === 'queued'"
+          text
+          type="danger"
+          size="small"
+          @click="cancelCombined(t)"
+        >
+          {{ t.status === 'queued' ? '取消排队' : '终止' }}
+        </el-button>
+        <el-button v-else text size="small" @click="dismissCombined(t)">关闭</el-button>
+      </div>
+    </div>
+
     <div v-loading="loading" class="ds-grid">
       <div v-for="row in list" :key="row.id" class="ds-card" @click="router.push(`/datasets/${row.id}`)">
         <div class="ds-cover">
@@ -768,6 +913,43 @@ onBeforeUnmount(() => {
     <FalseTargets v-if="pageTab === 'falseTargets'" ref="ftRef" />
 
     <!-- 负样本批量生成：内置场景池 + RF-DETR 空检自动剔除，进度在负样本 tab 内展示 -->
+    <!-- 综合训练发起：多选数据集（≥2）+ 档位，合并训练一个全类模型 -->
+    <el-dialog v-model="combinedDlg" title="综合训练" width="min(480px, 94vw)">
+      <el-alert
+        type="info"
+        :closable="false"
+        show-icon
+        title="多个数据集合并训练出一个全类模型，App 下载一个模型即可识别多种动物；任一物种补数据后需重新发起综合训练"
+        style="margin-bottom: 14px"
+      />
+      <el-form label-width="70px">
+        <el-form-item label="数据集">
+          <el-checkbox-group v-model="combinedIds">
+            <el-checkbox v-for="d in list" :key="d.id" :value="d.id">
+              {{ d.name }}（{{ d.imageCount }} 张）
+            </el-checkbox>
+          </el-checkbox-group>
+        </el-form-item>
+        <el-form-item label="档位">
+          <el-checkbox-group v-model="combinedVariants">
+            <el-checkbox value="s">高精度（s@1280）</el-checkbox>
+            <el-checkbox value="n">高性能（n@704）</el-checkbox>
+          </el-checkbox-group>
+        </el-form-item>
+      </el-form>
+      <template #footer>
+        <el-button @click="combinedDlg = false">取消</el-button>
+        <el-button
+          type="primary"
+          :loading="combinedSubmitting"
+          :disabled="combinedIds.length < 2"
+          @click="combinedSubmit"
+        >
+          发起训练（{{ combinedIds.length }} 个数据集）
+        </el-button>
+      </template>
+    </el-dialog>
+
     <el-dialog v-model="negGenVisible" title="AI 生成负样本" width="min(480px, 94vw)">
       <el-form label-width="90px">
         <el-form-item label="生成张数">