feat: 添加数据任务 mock 数据

frontend/package.json

@@ -9,6 +9,7 @@
     "preview": "vite preview",
     "type-check": "vue-tsc -b --noEmit",
     "test:data-process-wizard": "node scripts/regression-data-process-wizard.mjs",
+    "test:dataset-task-tab": "node scripts/regression-dataset-task-tab.mjs",
     "test:model-manage": "node scripts/regression-model-manage.mjs",
     "test:training-log-layout": "node scripts/regression-training-log-layout.mjs",
     "test:page-surface": "node scripts/regression-page-surface.mjs"

frontend/scripts/regression-dataset-task-tab.mjs

@@ -0,0 +1,42 @@
+import assert from 'node:assert/strict'
+import { readFile } from 'node:fs/promises'
+import { fileURLToPath } from 'node:url'
+import path from 'node:path'
+
+const scriptDir = path.dirname(fileURLToPath(import.meta.url))
+const typesPath = path.resolve(scriptDir, '../src/types/index.ts')
+const dataPath = path.resolve(scriptDir, '../src/mock/data.ts')
+const viewPath = path.resolve(scriptDir, '../src/views/dataset/DatasetListView.vue')
+
+const [typesSource, dataSource, viewSource] = await Promise.all([
+  readFile(typesPath, 'utf8'),
+  readFile(dataPath, 'utf8'),
+  readFile(viewPath, 'utf8'),
+])
+
+assert.match(typesSource, /export type DatasetSource = 'upload' \| 'task'/)
+assert.match(typesSource, /source\?: DatasetSource/)
+
+assert.equal((dataSource.match(/source: 'upload'/g) || []).length, 6)
+assert.equal((dataSource.match(/source: 'task'/g) || []).length, 4)
+
+for (const name of [
+  '客服对话清洗集',
+  '通用指令构造集',
+  '用户反馈脱敏集',
+  '多轮对话增强集',
+]) {
+  const datasetLine = dataSource.split('\n').find((line) => line.includes(`name: '${name}'`))
+  assert.ok(datasetLine, `缺少数据任务 Mock：${name}`)
+  assert.match(datasetLine, /source: 'task'/, `${name} 必须标记为数据任务来源`)
+}
+
+assert.match(viewSource, /const activeTab = ref<DatasetSource>\('upload'\)/)
+assert.match(
+  viewSource,
+  /if \(activeTab\.value === 'task'\) \{\s*return dataList\.value\.filter\(\(item\) => item\.source === 'task'\)\s*\}/,
+)
+assert.match(viewSource, /return dataList\.value\.filter\(\(item\) => item\.source !== 'task'\)/)
+assert.doesNotMatch(viewSource, /数据任务产生的数据集[\s\S]*?return \[\]/)
+
+console.log('数据任务 Mock 数据与页签分流回归检查通过')

frontend/src/mock/data.ts

@@ -99,12 +99,16 @@ export const mockLocalModels = {
 
 // ============ 数据集 ============
 export const mockDatasets: DatasetItem[] = [
-  { id: 1, name: '金融问答-训练集', type: 'train', storage_type: 'local', size: '128 MB', count: 8560, description: '金融领域问答对', create_time: '2025-12-20T08:00:00Z' },
+  { id: 1, name: '金融问答-训练集', type: 'train', storage_type: 'local', source: 'upload', size: '128 MB', count: 8560, description: '金融领域问答对', create_time: '2025-12-20T08:00:00Z' },
-  { id: 2, name: '法律文书-训练集', type: 'train', storage_type: 'local', size: '256 MB', count: 15230, description: '法律文书数据集', create_time: '2025-12-25T10:30:00Z' },
+  { id: 2, name: '法律文书-训练集', type: 'train', storage_type: 'local', source: 'upload', size: '256 MB', count: 15230, description: '法律文书数据集', create_time: '2025-12-25T10:30:00Z' },
-  { id: 3, name: '客服对话-训练集', type: 'train', storage_type: 'minio', size: '512 MB', count: 24500, description: '客服对话记录', create_time: '2026-01-05T14:20:00Z' },
+  { id: 3, name: '客服对话-训练集', type: 'train', storage_type: 'minio', source: 'upload', size: '512 MB', count: 24500, description: '客服对话记录', create_time: '2026-01-05T14:20:00Z' },
-  { id: 4, name: '金融评测集', type: 'eval', storage_type: 'local', size: '32 MB', count: 1200, description: '金融领域评测', create_time: '2026-01-10T09:15:00Z' },
+  { id: 4, name: '金融评测集', type: 'eval', storage_type: 'local', source: 'upload', size: '32 MB', count: 1200, description: '金融领域评测', create_time: '2026-01-10T09:15:00Z' },
-  { id: 5, name: '通用能力评测', type: 'eval', storage_type: 'local', size: '64 MB', count: 3500, description: '通用能力评测数据集', create_time: '2026-01-12T11:30:00Z' },
+  { id: 5, name: '通用能力评测', type: 'eval', storage_type: 'local', source: 'upload', size: '64 MB', count: 3500, description: '通用能力评测数据集', create_time: '2026-01-12T11:30:00Z' },
-  { id: 6, name: '医疗问答-训练集', type: 'train', storage_type: 'local', size: '180 MB', count: 9800, description: '医疗问答对', create_time: '2026-02-01T15:00:00Z' },
+  { id: 6, name: '医疗问答-训练集', type: 'train', storage_type: 'local', source: 'upload', size: '180 MB', count: 9800, description: '医疗问答对', create_time: '2026-02-01T15:00:00Z' },
+  { id: 7, name: '客服对话清洗集', type: 'train', storage_type: 'minio', source: 'task', size: '96 MB', count: 18240, description: '由客服问答数据清洗任务生成', create_time: '2026-07-08T06:28:00Z' },
+  { id: 8, name: '通用指令构造集', type: 'train', storage_type: 'local', source: 'task', size: '148 MB', count: 12600, description: '由指令微调数据构造任务生成', create_time: '2026-07-09T01:42:00Z' },
+  { id: 9, name: '用户反馈脱敏集', type: 'test', storage_type: 'minio', source: 'task', size: '72 MB', count: 9340, description: '由敏感信息脱敏任务生成', create_time: '2026-07-09T09:18:00Z' },
+  { id: 10, name: '多轮对话增强集', type: 'eval', storage_type: 'local', source: 'task', size: '41 MB', count: 2780, description: '由多轮对话拼接任务生成', create_time: '2026-07-10T02:06:00Z' },
 ]
 
 // ============ 训练任务 ============

frontend/src/types/index.ts

@@ -57,6 +57,7 @@ export interface ModelForm {
 // ============ 数据集 ============
 export type DatasetType = 'train' | 'test' | 'eval' | 'val' | 'other'
 export type DatasetStorage = 'local' | 'cloud' | 'minio'
+export type DatasetSource = 'upload' | 'task'
 
 export interface DatasetFile {
   id?: string
@@ -70,6 +71,7 @@ export interface DatasetItem {
   name: string
   type: DatasetType | string
   storage_type: DatasetStorage | string
+  source?: DatasetSource
   size?: string | number
   count?: number
   description?: string

frontend/src/views/dataset/DatasetListView.vue

@@ -5,21 +5,20 @@ import { ElMessage } from 'element-plus'
 import DataTablePage from '@/components/DataTablePage.vue'
 import { getDatasetList, deleteDataset, downloadDatasetUrl } from '@/api/modules/dataset'
 import { DATASET_TYPE_MAP, STORAGE_MAP } from '@/constants'
-import type { DatasetItem } from '@/types'
+import type { DatasetItem, DatasetSource } from '@/types'
 
 const router = useRouter()
 
 const loading = ref(false)
 const dataList = ref<DatasetItem[]>([])
-const activeTab = ref('upload')
+const activeTab = ref<DatasetSource>('upload')
 
 const filteredDataList = computed(() => {
-  if (activeTab.value === 'upload') {
+  if (activeTab.value === 'task') {
-    return dataList.value
+    return dataList.value.filter((item) => item.source === 'task')
-  } else {
-    // 假设数据任务产生的数据集可以通过某个字段区分，目前 mock 数据没有该字段，所以暂为空
-    return []
   }
+
+  return dataList.value.filter((item) => item.source !== 'task')
 })
 
 async function loadData() {