fix: stabilize background operations and large embedding results

This commit is contained in:
2026-09-06 16:26:17 +08:00
parent 79307b9b00
commit 80471aef31
59 changed files with 1866 additions and 149 deletions
@@ -7,6 +7,31 @@ import { useProviderStore } from '@/stores/provider'
import { useSettingsStore } from '@/stores/settings'
beforeEach(() => { localStorage.clear(); setActivePinia(createPinia()) })
it('separates unfinished indexing from retrieval activity and retains short search totals', async () => {
const store = useSettingsStore()
vi.spyOn(store, 'loadDiagnostics').mockResolvedValue()
const providers = useProviderStore()
vi.spyOn(providers, 'loadProviders').mockResolvedValue()
vi.spyOn(providers, 'loadPresets').mockResolvedValue()
vi.spyOn(providers, 'refreshEnabledModels').mockResolvedValue()
const wrapper = mount(SettingsView, { global: { stubs: { UsageCard: true, LocalModelSettings: true, ModelRoutingSettings: true } } })
await flushPromises()
await wrapper.findAll('button').find(button => button.text() === '索引与模型')!.trigger('click')
expect(wrapper.text()).toContain('未完成索引 未获取')
store.indexStatus = { status: 'idle', pending_jobs: 1, running_jobs: 0, total_notes: 16, total_blocks: 3787, vector_refresh_required: true,
active_searches: 0, completed_searches: 2, failed_searches: 1, cancelled_searches: 0 }
await flushPromises()
expect(wrapper.text()).toContain('全文可用 · 向量待重建')
expect(wrapper.text()).toContain('未完成索引 1')
expect(wrapper.text()).toContain('已完成 2')
expect(wrapper.text()).toContain('失败 1')
store.indexStatus.status = 'indexing'
store.indexStatus.running_jobs = 1
await flushPromises()
expect(wrapper.text()).toContain('后台计算索引')
expect(wrapper.findAll('button').find(button => button.text() === '重建全部')!.attributes('disabled')).toBeDefined()
wrapper.unmount()
})
it('shows provider status and enables testing only after a successful enable', async () => {
const store = useProviderStore()
store.providers = [{ provider_id: 'p1', name: 'Example', provider_type: 'openai_compatible', enabled: false, default_model: '', capabilities: {}, has_credential: false }]