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@@ -0,0 +1,44 @@
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import { expect, test, type Page } from '@playwright/test'
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// 后台管理列表「创建时间 + 更新时间」两列验收(2026-09-19 需求):
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// 8 个实体管理列表统一展示创建/更新时间,数据取自各列表 VO。
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// mock 夹具统一给 createdAt=2026-03-01 09:15:00、updatedAt=2026-09-18 16:42:30,
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// 页面统一经 formatDateTime 归一为「YYYY-MM-DD HH:mm:ss」。
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const CREATED = '2026-03-01 09:15:00'
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const UPDATED = '2026-09-18 16:42:30'
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const PAGES: Array<{ title: string; path: string; heading: string }> = [
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{ title: '用户管理', path: '/admin-vue/account/users', heading: '用户列表' },
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{ title: '菜单管理', path: '/admin-vue/account/menus', heading: '菜单' },
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{ title: '密钥管理', path: '/admin-vue/account/user-secrets', heading: '用户密钥列表' },
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{ title: '不符合ASIN数据', path: '/admin-vue/asin-center/invalid', heading: '品牌数据列表' },
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{ title: '数据去重总数据', path: '/admin-vue/asin-center/registry', heading: '数据去重总数据' },
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{ title: '查询ASIN', path: '/admin-vue/asin-center/query', heading: '查询' },
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{ title: '最低价ASIN', path: '/admin-vue/asin-center/skip-price', heading: '最低价' },
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{ title: '商品类目', path: '/admin-vue/asin-center/categories', heading: '商品类目' },
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]
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async function openPage(page: Page, path: string) {
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await page.goto(path)
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await expect(page.locator('.panel-box table tbody tr').first()).toBeVisible({ timeout: 15000 })
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}
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for (const spec of PAGES) {
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test(`${spec.title}:表格展示创建时间与更新时间`, async ({ page }) => {
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const errors: string[] = []
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page.on('pageerror', (error) => errors.push(error.message))
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await openPage(page, spec.path)
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const table = page.locator('.panel-box table').first()
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// 表头出现两列
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await expect(table.locator('thead')).toContainText('创建时间')
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await expect(table.locator('thead')).toContainText('更新时间')
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// 数据行渲染出真实时间值(非空、非占位符)
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await expect(table.locator('tbody')).toContainText(CREATED)
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await expect(table.locator('tbody')).toContainText(UPDATED)
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expect(errors).toEqual([])
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})
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}
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@@ -220,13 +220,183 @@ const server = createServer((req, res) => {
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return json(res, {
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success: true,
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data: {
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items: [{ id: 1, username: 'admin', role: 'super_admin', creatorUsername: 'system', createdAt: '2026-01-01 00:00:00' }],
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items: [{ id: 1, username: 'admin', role: 'super_admin', creatorUsername: 'system', created_at: '2026-03-01 09:15:00', updated_at: '2026-09-18 16:42:30' }],
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total: 1,
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},
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})
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}
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if (url === '/api/admin/permission-menus') {
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return json(res, { success: true, data: { items: [] } })
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// 菜单管理列表:一条根节点,带创建/更新时间(验收时间列)。
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return json(res, {
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success: true,
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data: [
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{
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id: 1,
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name: '用户管理',
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column_key: 'admin_users',
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parent_id: null,
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menu_type: 'admin',
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route_path: 'account/users',
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sort_order: 10,
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created_at: '2026-03-01T09:15:00',
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updated_at: '2026-09-18T16:42:30',
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},
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],
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})
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}
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if (url === '/api/admin/invalid-asin-data') {
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return json(res, {
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success: true,
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data: {
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items: [
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{
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id: 1,
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dataValue: 'B0INVALID1',
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brand: '测试品牌',
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groupId: 1,
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groupName: '测试分组',
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recordSource: 'MANUAL',
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createdAt: '2026-03-01 09:15:00',
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updatedAt: '2026-09-18 16:42:30',
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},
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],
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total: 1,
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page: 1,
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pageSize: 10,
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},
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})
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}
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if (url === '/api/admin/dedupe-total-data') {
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return json(res, {
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success: true,
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data: {
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items: [
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{
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id: 1,
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dataValue: 'B0DEDUPE01',
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country: 'DE',
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groupId: 1,
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groupName: '测试分组',
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uploaderUserId: 1,
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username: 'admin',
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createdAt: '2026-03-01 09:15:00',
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updatedAt: '2026-09-18 16:42:30',
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},
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],
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total: 1,
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page: 1,
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pageSize: 10,
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},
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})
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}
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if (url === '/api/admin/query-asins') {
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return json(res, {
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success: true,
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data: {
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items: [
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{
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id: 1,
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groupId: 1,
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groupName: '测试分组',
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shopName: '测试店铺',
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asinDe: 'B0QUERY001',
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asinUk: '',
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asinFr: '',
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||||
asinIt: '',
|
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asinEs: '',
|
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createdAt: '2026-03-01 09:15:00',
|
||||
updatedAt: '2026-09-18 16:42:30',
|
||||
},
|
||||
],
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total: 1,
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page: 1,
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pageSize: 10,
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},
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})
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}
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if (url === '/api/admin/skip-price-asins') {
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return json(res, {
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success: true,
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data: {
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items: [
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{
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id: 1,
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groupId: 1,
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groupName: '测试分组',
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shopName: '测试店铺',
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asinDe: 'B0SKIP0001',
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minimumPriceDe: 9.99,
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asinUk: '',
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minimumPriceUk: null,
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asinFr: '',
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minimumPriceFr: null,
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asinIt: '',
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minimumPriceIt: null,
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asinEs: '',
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minimumPriceEs: null,
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createdAt: '2026-03-01 09:15:00',
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updatedAt: '2026-09-18 16:42:30',
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||||
},
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||||
],
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total: 1,
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||||
page: 1,
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pageSize: 10,
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},
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})
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}
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if (url === '/api/admin/product-categories/children') {
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return json(res, {
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success: true,
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data: {
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items: [
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{
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id: 1,
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parentId: null,
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name: '护肤品',
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categoryKey: 'skincare',
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sortOrder: 10,
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description: '测试备注',
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isBuiltin: true,
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childCount: 0,
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level: 0,
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path: '护肤品',
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createdAt: '2026-03-01 09:15:00',
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updatedAt: '2026-09-18 16:42:30',
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},
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||||
],
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total: 1,
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||||
page: 1,
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||||
pageSize: 10,
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hasMore: false,
|
||||
},
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||||
})
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}
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if (url === '/api/admin/user-secrets') {
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const emptyModule = { moduleKey: '', moduleLabel: '', masked: '', full: '', exists: false, checkStatus: 'unknown', checkCode: '', checkMessage: '', checkLatencyMs: null, checkedAt: null, updatedAt: null }
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return json(res, {
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||||
success: true,
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data: {
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||||
items: [
|
||||
{
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userId: 1,
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username: 'admin',
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groups: [],
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leaderUsername: '',
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similarAsin: { ...emptyModule, moduleKey: 'similar-asin', moduleLabel: '货源查询密钥' },
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appearancePatent: { ...emptyModule, moduleKey: 'appearance-patent', moduleLabel: '外观专利密钥' },
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proxy: { ...emptyModule, moduleKey: 'proxy', moduleLabel: '代理设置' },
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status: 'unknown',
|
||||
statusMessage: '',
|
||||
createdAt: '2026-03-01 09:15:00',
|
||||
updatedAt: '2026-09-18 16:42:30',
|
||||
},
|
||||
],
|
||||
total: 1,
|
||||
page: 1,
|
||||
pageSize: 15,
|
||||
groupOptions: [],
|
||||
},
|
||||
})
|
||||
}
|
||||
if (url === '/api/admin/shop-manage-groups') {
|
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return json(res, { success: true, data: { items: [] } })
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@@ -0,0 +1,135 @@
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import { http } from './http'
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import { unwrap } from './envelope'
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/** 日志文件行(桌面客户端 / 麦象采集机上报)。 */
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export interface DeviceLogFileRow {
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id: number
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source: string
|
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deviceId: string
|
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deviceName: string | null
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username: string | null
|
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uid: number | null
|
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fileName: string
|
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logDate: string
|
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uploadedBytes: number
|
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partCount: number
|
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lastUploadAt: string | null
|
||||
createdAt: string | null
|
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}
|
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|
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export interface DeviceLogPage {
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items: DeviceLogFileRow[]
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total: number
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page: number
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pageSize: number
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/** 云端日志保留天数(页面提示用)。 */
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retentionDays: number
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}
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export interface DeviceLogContent {
|
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fileId: number
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fileName: string
|
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content: string
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totalBytes: number
|
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shownBytes: number
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truncated: boolean
|
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}
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|
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export interface DeviceLogDevice {
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source: string
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deviceId: string
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deviceName: string | null
|
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lastUploadAt: string | null
|
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}
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|
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export interface DeviceLogOverride {
|
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id: number
|
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source: string
|
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deviceId: string
|
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deviceName: string | null
|
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mode: string
|
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updatedAt: string | null
|
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}
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export interface DeviceLogConfigData {
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globalMode: string
|
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overrides: DeviceLogOverride[]
|
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}
|
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|
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export interface DeviceLogQuery {
|
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source?: string
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keyword?: string
|
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startDate?: string
|
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endDate?: string
|
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page: number
|
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pageSize: number
|
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}
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|
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/** 分页查询日志文件列表:GET /api/admin/device-logs/files */
|
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export async function fetchDeviceLogFiles(params: DeviceLogQuery): Promise<DeviceLogPage> {
|
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const query: Record<string, string | number> = { page: params.page, pageSize: params.pageSize }
|
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if (params.source) query.source = params.source
|
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if (params.keyword) query.keyword = params.keyword
|
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if (params.startDate) query.startDate = params.startDate
|
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if (params.endDate) query.endDate = params.endDate
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const { data } = await http.get('/api/admin/device-logs/files', { params: query })
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return unwrap<DeviceLogPage>(data)
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}
|
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|
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/** 查看日志尾部内容:GET /api/admin/device-logs/content */
|
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export async function fetchDeviceLogContent(fileId: number, maxBytes?: number): Promise<DeviceLogContent> {
|
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const query: Record<string, number> = { fileId }
|
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if (maxBytes) query.maxBytes = maxBytes
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const { data } = await http.get('/api/admin/device-logs/content', { params: query })
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return unwrap<DeviceLogContent>(data)
|
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}
|
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|
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/** 完整日志下载地址(同域 cookie 鉴权,直接给 a[href] 或 window.open 用)。 */
|
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export function deviceLogDownloadUrl(fileId: number): string {
|
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return `/api/admin/device-logs/download?fileId=${fileId}`
|
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}
|
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|
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/** 删除日志文件(片段与元数据,不可恢复):DELETE /api/admin/device-logs/{id} */
|
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export async function deleteDeviceLogFile(id: number): Promise<void> {
|
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const { data } = await http.delete(`/api/admin/device-logs/${id}`)
|
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unwrap<unknown>(data)
|
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}
|
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|
||||
/** 采集配置(全局默认 + 终端覆盖):GET /api/admin/device-logs/config */
|
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export async function fetchDeviceLogConfig(keyword?: string): Promise<DeviceLogConfigData> {
|
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const { data } = await http.get('/api/admin/device-logs/config', {
|
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params: keyword ? { keyword } : undefined,
|
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})
|
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return unwrap<DeviceLogConfigData>(data)
|
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}
|
||||
|
||||
/** 最近上报过的终端(覆盖选择用):GET /api/admin/device-logs/devices */
|
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export async function fetchDeviceLogDevices(): Promise<DeviceLogDevice[]> {
|
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const { data } = await http.get('/api/admin/device-logs/devices')
|
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return unwrap<DeviceLogDevice[]>(data)
|
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}
|
||||
|
||||
/** 设置全局采集模式:PUT /api/admin/device-logs/config/global */
|
||||
export async function updateDeviceLogGlobalMode(mode: string): Promise<void> {
|
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const { data } = await http.put('/api/admin/device-logs/config/global', undefined, { params: { mode } })
|
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unwrap<unknown>(data)
|
||||
}
|
||||
|
||||
/** 设置/更新终端覆盖:PUT /api/admin/device-logs/config/device */
|
||||
export async function updateDeviceLogOverride(
|
||||
source: string,
|
||||
deviceId: string,
|
||||
deviceName: string | null,
|
||||
mode: string,
|
||||
): Promise<void> {
|
||||
const { data } = await http.put('/api/admin/device-logs/config/device', undefined, {
|
||||
params: { source, deviceId, deviceName: deviceName || undefined, mode },
|
||||
})
|
||||
unwrap<unknown>(data)
|
||||
}
|
||||
|
||||
/** 删除终端覆盖(回落到全局默认):DELETE /api/admin/device-logs/config/device/{id} */
|
||||
export async function deleteDeviceLogOverride(id: number): Promise<void> {
|
||||
const { data } = await http.delete(`/api/admin/device-logs/config/device/${id}`)
|
||||
unwrap<unknown>(data)
|
||||
}
|
||||
@@ -30,6 +30,8 @@ export interface AdminUserSecretRow {
|
||||
proxy: AdminUserSecretModule
|
||||
status: string
|
||||
statusMessage: string
|
||||
/** 首次配置时间(三模块中最早);从未配置为 null。 */
|
||||
createdAt: string | null
|
||||
updatedAt: string | null
|
||||
}
|
||||
|
||||
|
||||
@@ -23,6 +23,8 @@ export function toAdminUserItem(raw: unknown): AdminUser | null {
|
||||
if (createdById !== null) item.createdById = createdById
|
||||
const createdAt = text(r.created_at)
|
||||
if (createdAt) item.createdAt = createdAt
|
||||
const updatedAt = text(r.updated_at)
|
||||
if (updatedAt) item.updatedAt = updatedAt
|
||||
const creator = text(r.creator_username)
|
||||
if (creator) item.creatorUsername = creator
|
||||
const abbr = text(r.pinyin_abbr)
|
||||
|
||||
@@ -241,6 +241,7 @@ onMounted(loadMenus)
|
||||
<th style="width: 100px">菜单类型</th>
|
||||
<th style="width: 120px">上级菜单</th>
|
||||
<th style="width: 170px">创建时间</th>
|
||||
<th style="width: 170px">更新时间</th>
|
||||
<th style="width: 170px">操作</th>
|
||||
</tr>
|
||||
</thead>
|
||||
@@ -271,6 +272,7 @@ onMounted(loadMenus)
|
||||
<td><span class="menu-type-text">{{ menuTypeLabel(row.menuType) }}</span></td>
|
||||
<td>{{ parentNameOf(row) }}</td>
|
||||
<td>{{ formatDateTime(row.createdAt) }}</td>
|
||||
<td>{{ formatDateTime(row.updatedAt) }}</td>
|
||||
<td class="ops-cell">
|
||||
<button class="btn btn-sm" type="button" @click="openEdit(row)">编辑</button>
|
||||
<button
|
||||
@@ -286,10 +288,10 @@ onMounted(loadMenus)
|
||||
</tr>
|
||||
</template>
|
||||
<tr v-else-if="loading">
|
||||
<td colspan="7" class="empty-tip">加载中...</td>
|
||||
<td colspan="8" class="empty-tip">加载中...</td>
|
||||
</tr>
|
||||
<tr v-else>
|
||||
<td colspan="7" class="empty-tip">{{ filterName || filterType ? '暂无匹配菜单' : '暂无菜单,请先在上方新增' }}</td>
|
||||
<td colspan="8" class="empty-tip">{{ filterName || filterType ? '暂无匹配菜单' : '暂无菜单,请先在上方新增' }}</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
|
||||
@@ -77,7 +77,7 @@ watch(
|
||||
node-key="id"
|
||||
show-checkbox
|
||||
default-expand-all
|
||||
:props="{ label: 'name', children: 'children' }"
|
||||
:props="{ label: 'name', children: 'children', disabled: 'disabled' }"
|
||||
@check="onCheck"
|
||||
/>
|
||||
</div>
|
||||
@@ -89,7 +89,7 @@ watch(
|
||||
node-key="id"
|
||||
show-checkbox
|
||||
default-expand-all
|
||||
:props="{ label: 'name', children: 'children' }"
|
||||
:props="{ label: 'name', children: 'children', disabled: 'disabled' }"
|
||||
@check="onCheck"
|
||||
/>
|
||||
</div>
|
||||
|
||||
@@ -233,6 +233,8 @@ onMounted(load)
|
||||
<th style="width: 230px">外观专利密钥</th>
|
||||
<th style="width: 380px">代理设置</th>
|
||||
<th style="width: 130px">状态</th>
|
||||
<th style="width: 170px">创建时间</th>
|
||||
<th style="width: 170px">更新时间</th>
|
||||
<th style="width: 170px">操作</th>
|
||||
</tr>
|
||||
</thead>
|
||||
@@ -278,6 +280,8 @@ onMounted(load)
|
||||
{{ rowStatusMeta(row.status).label }}
|
||||
</span>
|
||||
</td>
|
||||
<td>{{ formatDateTime(row.createdAt) }}</td>
|
||||
<td>{{ formatDateTime(row.updatedAt) }}</td>
|
||||
<td class="ops-cell">
|
||||
<button
|
||||
class="btn btn-sm"
|
||||
@@ -292,10 +296,10 @@ onMounted(load)
|
||||
</tr>
|
||||
</template>
|
||||
<tr v-else-if="loading">
|
||||
<td :colspan="isSuperAdmin ? 8 : 7" class="empty-tip">加载中...</td>
|
||||
<td :colspan="isSuperAdmin ? 10 : 9" class="empty-tip">加载中...</td>
|
||||
</tr>
|
||||
<tr v-else>
|
||||
<td :colspan="isSuperAdmin ? 8 : 7" class="empty-tip">{{ keyword || statusFilter || groupFilter ? '暂无匹配记录' : '暂无用户密钥记录' }}</td>
|
||||
<td :colspan="isSuperAdmin ? 10 : 9" class="empty-tip">{{ keyword || statusFilter || groupFilter ? '暂无匹配记录' : '暂无用户密钥记录' }}</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
|
||||
@@ -169,6 +169,7 @@ onMounted(loadUsers)
|
||||
<th style="width: 140px">角色</th>
|
||||
<th style="width: 160px">所属管理员</th>
|
||||
<th style="width: 180px">创建时间</th>
|
||||
<th style="width: 180px">更新时间</th>
|
||||
<th style="width: 160px">操作</th>
|
||||
</tr>
|
||||
</thead>
|
||||
@@ -180,6 +181,7 @@ onMounted(loadUsers)
|
||||
<td>{{ roleLabel(row.role) }}</td>
|
||||
<td>{{ row.creatorUsername || '-' }}</td>
|
||||
<td>{{ formatDateTime(row.createdAt) }}</td>
|
||||
<td>{{ formatDateTime(row.updatedAt) }}</td>
|
||||
<td class="ops-cell">
|
||||
<button
|
||||
class="btn btn-sm"
|
||||
@@ -203,10 +205,10 @@ onMounted(loadUsers)
|
||||
</tr>
|
||||
</template>
|
||||
<tr v-else-if="loading">
|
||||
<td colspan="6" class="empty-tip">加载中...</td>
|
||||
<td colspan="7" class="empty-tip">加载中...</td>
|
||||
</tr>
|
||||
<tr v-else>
|
||||
<td colspan="6" class="empty-tip">{{ userListEmptyHint() }}</td>
|
||||
<td colspan="7" class="empty-tip">{{ userListEmptyHint() }}</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
|
||||
@@ -15,6 +15,7 @@ export interface MenuManageNode {
|
||||
routePath: string
|
||||
sortOrder: number
|
||||
createdAt?: string
|
||||
updatedAt?: string
|
||||
children?: MenuManageNode[]
|
||||
}
|
||||
|
||||
@@ -90,6 +91,8 @@ export function parseMenuManageItem(raw: unknown): MenuManageNode | null {
|
||||
if (rootColumnKey) node.rootColumnKey = rootColumnKey
|
||||
const createdAt = text(record.created_at)
|
||||
if (createdAt) node.createdAt = createdAt
|
||||
const updatedAt = text(record.updated_at)
|
||||
if (updatedAt) node.updatedAt = updatedAt
|
||||
return node
|
||||
}
|
||||
|
||||
|
||||
@@ -16,6 +16,11 @@ export interface MenuOptionNode {
|
||||
parentId: number | null
|
||||
/** 所属菜单类型(admin 后台 / app 前端客户端),提交时按类型分区落库。 */
|
||||
type: string
|
||||
/**
|
||||
* 当前操作者无权授予(后端 grantable=false)时置灰:仍展示并回显已勾选,
|
||||
* 但不允许改勾选。非超管只能授自己已有的菜单,勾到越权项会让整笔保存回滚。
|
||||
*/
|
||||
disabled?: boolean
|
||||
children?: MenuOptionNode[]
|
||||
}
|
||||
|
||||
@@ -39,6 +44,8 @@ export function parsePermissionMenuItem(raw: unknown, type = ''): MenuOptionNode
|
||||
sort: sortRaw === null ? 0 : sortRaw,
|
||||
parentId: parentId === null ? null : parentId,
|
||||
type,
|
||||
// 缺省(菜单管理页等未标记的接口)按可授予处理,保持旧行为
|
||||
disabled: record.grantable === false,
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -202,6 +202,7 @@ onMounted(() => {
|
||||
<th v-if="isSuperAdmin" style="width: 140px">分组</th>
|
||||
<th style="width: 110px">来源</th>
|
||||
<th style="width: 170px">创建时间</th>
|
||||
<th style="width: 170px">更新时间</th>
|
||||
<th style="width: 150px">操作</th>
|
||||
</tr>
|
||||
</thead>
|
||||
@@ -218,6 +219,7 @@ onMounted(() => {
|
||||
</span>
|
||||
</td>
|
||||
<td>{{ formatDateTime(row.createdAt) }}</td>
|
||||
<td>{{ formatDateTime(row.updatedAt) }}</td>
|
||||
<td class="ops-cell">
|
||||
<button class="btn btn-sm" type="button" @click="openEdit(row)">编辑</button>
|
||||
<button class="btn btn-sm btn-danger" type="button" @click="remove(row)">删除</button>
|
||||
@@ -225,10 +227,10 @@ onMounted(() => {
|
||||
</tr>
|
||||
</template>
|
||||
<tr v-else-if="loading">
|
||||
<td :colspan="isSuperAdmin ? 7 : 6" class="empty-tip">加载中...</td>
|
||||
<td :colspan="isSuperAdmin ? 8 : 7" class="empty-tip">加载中...</td>
|
||||
</tr>
|
||||
<tr v-else>
|
||||
<td :colspan="isSuperAdmin ? 7 : 6" class="empty-tip">暂无数据</td>
|
||||
<td :colspan="isSuperAdmin ? 8 : 7" class="empty-tip">暂无数据</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
|
||||
@@ -375,6 +375,7 @@ onMounted(() => {
|
||||
<th>用户名</th>
|
||||
<th v-if="isSuperAdmin">分组</th>
|
||||
<th>创建时间</th>
|
||||
<th>更新时间</th>
|
||||
<th>操作</th>
|
||||
</tr>
|
||||
</thead>
|
||||
@@ -387,6 +388,7 @@ onMounted(() => {
|
||||
<td>{{ row.username || '-' }}</td>
|
||||
<td v-if="isSuperAdmin">{{ row.groupName || '未分组' }}</td>
|
||||
<td>{{ formatDateTime(row.createdAt) }}</td>
|
||||
<td>{{ formatDateTime(row.updatedAt) }}</td>
|
||||
<td class="ops-cell">
|
||||
<button class="btn btn-sm" type="button" @click="openEdit(row)">编辑</button>
|
||||
<button class="btn btn-sm btn-danger" type="button" @click="removeRow(row)">删除</button>
|
||||
@@ -394,10 +396,10 @@ onMounted(() => {
|
||||
</tr>
|
||||
</template>
|
||||
<tr v-else-if="loading">
|
||||
<td :colspan="isSuperAdmin ? 7 : 6" class="empty-tip">加载中...</td>
|
||||
<td :colspan="isSuperAdmin ? 8 : 7" class="empty-tip">加载中...</td>
|
||||
</tr>
|
||||
<tr v-else>
|
||||
<td :colspan="isSuperAdmin ? 7 : 6" class="empty-tip">暂无总数据</td>
|
||||
<td :colspan="isSuperAdmin ? 8 : 7" class="empty-tip">暂无总数据</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
|
||||
@@ -15,6 +15,7 @@ import {
|
||||
} from './product-category-model.ts'
|
||||
import { categoryDraftError, createProductCategoryDraft, toCategorySaveRequest, type ProductCategoryDraft } from './product-category-editor-model.ts'
|
||||
import { buildProductCategoryExportUrl } from './product-category-export.ts'
|
||||
import { formatDateTime } from '@/utils/datetime'
|
||||
import OldPagination from '@/components/OldPagination.vue'
|
||||
|
||||
const loading = ref(false)
|
||||
@@ -330,6 +331,8 @@ onMounted(loadTree)
|
||||
<th style="width: 90px">排序</th>
|
||||
<th style="width: 120px">来源</th>
|
||||
<th>备注</th>
|
||||
<th style="width: 170px">创建时间</th>
|
||||
<th style="width: 170px">更新时间</th>
|
||||
<th style="width: 150px">操作</th>
|
||||
</tr>
|
||||
</thead>
|
||||
@@ -337,7 +340,7 @@ onMounted(loadTree)
|
||||
<template v-if="treeRows.length">
|
||||
<template v-for="row in treeRows" :key="String(row.node.id)">
|
||||
<tr v-if="isCategoryLoadMoreNode(row.node)" class="load-more-row">
|
||||
<td colspan="6">
|
||||
<td colspan="8">
|
||||
<div class="load-more-cell">
|
||||
<span class="tree-indent" :style="{ width: `${(row.depth + 1) * 24}px` }"></span>
|
||||
<button class="btn btn-sm btn-secondary" type="button" :disabled="moreLoading(row.node)" @click="loadMoreChildren(row.node)">
|
||||
@@ -376,6 +379,8 @@ onMounted(loadTree)
|
||||
<span v-if="row.node.description" class="node-desc" :title="row.node.description">{{ row.node.description }}</span>
|
||||
<span v-else class="dim">—</span>
|
||||
</td>
|
||||
<td>{{ formatDateTime(row.node.createdAt) }}</td>
|
||||
<td>{{ formatDateTime(row.node.updatedAt) }}</td>
|
||||
<td class="ops-cell">
|
||||
<button class="btn btn-sm" type="button" @click="openEdit(row.node)">编辑</button>
|
||||
<button
|
||||
@@ -392,10 +397,10 @@ onMounted(loadTree)
|
||||
</template>
|
||||
</template>
|
||||
<tr v-else-if="loading">
|
||||
<td colspan="6" class="empty-tip">加载中...</td>
|
||||
<td colspan="8" class="empty-tip">加载中...</td>
|
||||
</tr>
|
||||
<tr v-else>
|
||||
<td colspan="6" class="empty-tip">暂无商品类目</td>
|
||||
<td colspan="8" class="empty-tip">暂无商品类目</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
<tbody v-else>
|
||||
@@ -411,6 +416,8 @@ onMounted(loadTree)
|
||||
<span v-if="row.description" class="node-desc" :title="row.description">{{ row.description }}</span>
|
||||
<span v-else class="dim">—</span>
|
||||
</td>
|
||||
<td>{{ formatDateTime(row.createdAt) }}</td>
|
||||
<td>{{ formatDateTime(row.updatedAt) }}</td>
|
||||
<td class="ops-cell">
|
||||
<button class="btn btn-sm" type="button" @click="openEdit(row)">编辑</button>
|
||||
<button
|
||||
@@ -426,10 +433,10 @@ onMounted(loadTree)
|
||||
</tr>
|
||||
</template>
|
||||
<tr v-else-if="searchLoading">
|
||||
<td colspan="6" class="empty-tip">搜索中...</td>
|
||||
<td colspan="8" class="empty-tip">搜索中...</td>
|
||||
</tr>
|
||||
<tr v-else>
|
||||
<td colspan="6" class="empty-tip">暂无搜索结果</td>
|
||||
<td colspan="8" class="empty-tip">暂无搜索结果</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
|
||||
@@ -4,6 +4,7 @@
|
||||
import { computed, onMounted, reactive, ref } from 'vue'
|
||||
import { ElMessage, ElMessageBox } from 'element-plus'
|
||||
import CopyText from '@/components/CopyText.vue'
|
||||
import { formatDateTime } from '@/utils/datetime'
|
||||
import { createQueryAsin, fetchQueryAsinList, fetchShopNamesByGroup } from './query-asin-api.ts'
|
||||
import { QUERY_ASIN_COUNTRIES, queryAsinDisplayRows, type QueryAsinItem } from './query-asin-model.ts'
|
||||
import { asinCountryLabel } from './asin-country.ts'
|
||||
@@ -394,6 +395,8 @@ onMounted(() => {
|
||||
<th style="width: 15%">店铺名</th>
|
||||
<th style="width: 24%">ASIN</th>
|
||||
<th style="width: 12%">国家</th>
|
||||
<th style="width: 170px">创建时间</th>
|
||||
<th style="width: 170px">更新时间</th>
|
||||
<th style="width: 9%">操作</th>
|
||||
</tr>
|
||||
</thead>
|
||||
@@ -413,6 +416,8 @@ onMounted(() => {
|
||||
</td>
|
||||
<td>{{ asinCountryLabel(row.country || '') }}</td>
|
||||
<template v-if="row.isFirst">
|
||||
<td :rowspan="row.rowspan">{{ formatDateTime(row.item.createdAt) }}</td>
|
||||
<td :rowspan="row.rowspan">{{ formatDateTime(row.item.updatedAt) }}</td>
|
||||
<td :rowspan="row.rowspan" class="asin-col-actions">
|
||||
<button class="btn btn-sm" type="button" @click="openConfig(row.item as QueryAsinItem)">配置</button>
|
||||
<button class="btn btn-sm btn-danger" type="button" @click="removeShopAsin(row.item as QueryAsinItem)">删除</button>
|
||||
@@ -421,10 +426,10 @@ onMounted(() => {
|
||||
</tr>
|
||||
</template>
|
||||
<tr v-else-if="loading">
|
||||
<td :colspan="isSuperAdmin ? 6 : 5" class="empty-tip">加载中...</td>
|
||||
<td :colspan="isSuperAdmin ? 8 : 7" class="empty-tip">加载中...</td>
|
||||
</tr>
|
||||
<tr v-else>
|
||||
<td :colspan="isSuperAdmin ? 6 : 5" class="empty-tip">暂无数据</td>
|
||||
<td :colspan="isSuperAdmin ? 8 : 7" class="empty-tip">暂无数据</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
|
||||
@@ -4,6 +4,7 @@
|
||||
import { computed, onMounted, reactive, ref } from 'vue'
|
||||
import { ElMessage, ElMessageBox } from 'element-plus'
|
||||
import CopyText from '@/components/CopyText.vue'
|
||||
import { formatDateTime } from '@/utils/datetime'
|
||||
import { createSkipPriceAsin, fetchSkipPriceList } from './skip-price-api.ts'
|
||||
import { skipPriceDisplayRows, type SkipPriceItem } from './skip-price-model.ts'
|
||||
import { asinCountryLabel } from './asin-country.ts'
|
||||
@@ -447,6 +448,8 @@ onMounted(() => {
|
||||
<th style="width: 24%">ASIN</th>
|
||||
<th style="width: 12%">国家</th>
|
||||
<th style="width: 10%">最低价</th>
|
||||
<th style="width: 170px">创建时间</th>
|
||||
<th style="width: 170px">更新时间</th>
|
||||
<th style="width: 9%">操作</th>
|
||||
</tr>
|
||||
</thead>
|
||||
@@ -467,6 +470,8 @@ onMounted(() => {
|
||||
<td>{{ asinCountryLabel(row.country || '') }}</td>
|
||||
<td class="price-cell">{{ row.minimumPrice !== '' ? row.minimumPrice : '-' }}</td>
|
||||
<template v-if="row.isFirst">
|
||||
<td :rowspan="row.rowspan">{{ formatDateTime(row.item.createdAt) }}</td>
|
||||
<td :rowspan="row.rowspan">{{ formatDateTime(row.item.updatedAt) }}</td>
|
||||
<td :rowspan="row.rowspan" class="asin-col-actions">
|
||||
<button class="btn btn-sm" type="button" @click="openConfig(row.item as SkipPriceItem)">配置</button>
|
||||
<button class="btn btn-sm btn-danger" type="button" @click="removeRow(row.item as SkipPriceItem)">删除</button>
|
||||
@@ -475,10 +480,10 @@ onMounted(() => {
|
||||
</tr>
|
||||
</template>
|
||||
<tr v-else-if="loading">
|
||||
<td :colspan="isSuperAdmin ? 7 : 6" class="empty-tip">加载中...</td>
|
||||
<td :colspan="isSuperAdmin ? 9 : 8" class="empty-tip">加载中...</td>
|
||||
</tr>
|
||||
<tr v-else>
|
||||
<td :colspan="isSuperAdmin ? 7 : 6" class="empty-tip">暂无数据</td>
|
||||
<td :colspan="isSuperAdmin ? 9 : 8" class="empty-tip">暂无数据</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
|
||||
@@ -11,6 +11,7 @@ export interface DedupeTotalItem {
|
||||
uploaderUserId: number | null
|
||||
username: string
|
||||
createdAt?: string
|
||||
updatedAt?: string
|
||||
}
|
||||
|
||||
export interface DedupeTotalPageResult {
|
||||
@@ -51,6 +52,8 @@ export function toDedupeTotalItem(raw: unknown): DedupeTotalItem | null {
|
||||
}
|
||||
const createdAt = text(record.createdAt ?? record.created_at)
|
||||
if (createdAt) item.createdAt = createdAt
|
||||
const updatedAt = text(record.updatedAt ?? record.updated_at)
|
||||
if (updatedAt) item.updatedAt = updatedAt
|
||||
return item
|
||||
}
|
||||
|
||||
|
||||
@@ -14,6 +14,8 @@ export interface ProductCategoryNode {
|
||||
childCount: number
|
||||
level: number | null
|
||||
path: string
|
||||
createdAt?: string
|
||||
updatedAt?: string
|
||||
children: ProductCategoryNode[]
|
||||
}
|
||||
|
||||
@@ -72,6 +74,10 @@ export function toProductCategoryNode(raw: unknown): ProductCategoryNode | null
|
||||
path: text(record.path),
|
||||
children: [],
|
||||
}
|
||||
const createdAt = text(record.createdAt ?? record.created_at)
|
||||
if (createdAt) node.createdAt = createdAt
|
||||
const updatedAt = text(record.updatedAt ?? record.updated_at)
|
||||
if (updatedAt) node.updatedAt = updatedAt
|
||||
if (Array.isArray(record.children)) {
|
||||
node.children = record.children
|
||||
.map((child) => toProductCategoryNode(child))
|
||||
|
||||
@@ -12,6 +12,7 @@ export interface InvalidAsinItem {
|
||||
groupName: string
|
||||
recordSource: string
|
||||
createdAt?: string
|
||||
updatedAt?: string
|
||||
}
|
||||
|
||||
export interface InvalidAsinPageResult {
|
||||
@@ -74,6 +75,8 @@ export function toInvalidAsinItem(raw: unknown): InvalidAsinItem | null {
|
||||
}
|
||||
const createdAt = text(record.createdAt ?? record.created_at)
|
||||
if (createdAt) item.createdAt = createdAt
|
||||
const updatedAt = text(record.updatedAt ?? record.updated_at)
|
||||
if (updatedAt) item.updatedAt = updatedAt
|
||||
return item
|
||||
}
|
||||
|
||||
|
||||
@@ -0,0 +1,719 @@
|
||||
<script setup lang="ts">
|
||||
/** 日志管理页:桌面客户端 / 麦象采集机上报的日志浏览(仅超管)。
|
||||
* 支持来源/日期/关键字筛选,尾部内容查看(自动滚到底、可向前加载更早内容)、
|
||||
* 完整下载、删除;「采集配置」可调全量/精选模式(全局默认 + 终端覆盖)。 */
|
||||
import { computed, nextTick, onMounted, ref } from 'vue'
|
||||
import OldPagination from '@/components/OldPagination.vue'
|
||||
import { ElMessage } from 'element-plus'
|
||||
import { formatDateTime } from '@/utils/datetime'
|
||||
import {
|
||||
deleteDeviceLogFile,
|
||||
deleteDeviceLogOverride,
|
||||
deviceLogDownloadUrl,
|
||||
fetchDeviceLogConfig,
|
||||
fetchDeviceLogContent,
|
||||
fetchDeviceLogDevices,
|
||||
fetchDeviceLogFiles,
|
||||
updateDeviceLogGlobalMode,
|
||||
updateDeviceLogOverride,
|
||||
type DeviceLogContent,
|
||||
type DeviceLogDevice,
|
||||
type DeviceLogFileRow,
|
||||
type DeviceLogOverride,
|
||||
} from '@/api/device-logs'
|
||||
|
||||
const SOURCE_OPTIONS = [
|
||||
{ value: '', label: '全部来源' },
|
||||
{ value: 'client', label: '桌面客户端' },
|
||||
{ value: 'maixiang', label: '麦象采集机' },
|
||||
]
|
||||
|
||||
function sourceLabel(source: string): string {
|
||||
if (source === 'client') return '桌面客户端'
|
||||
if (source === 'maixiang') return '麦象采集机'
|
||||
return source || '—'
|
||||
}
|
||||
|
||||
function formatBytes(bytes: number | null | undefined): string {
|
||||
if (bytes == null || !Number.isFinite(bytes) || bytes <= 0) return '—'
|
||||
if (bytes < 1024) return `${bytes} B`
|
||||
const units = ['KB', 'MB', 'GB']
|
||||
let value = bytes / 1024
|
||||
let unitIndex = 0
|
||||
while (value >= 1024 && unitIndex < units.length - 1) {
|
||||
value /= 1024
|
||||
unitIndex += 1
|
||||
}
|
||||
return `${value >= 100 ? value.toFixed(0) : value.toFixed(1)} ${units[unitIndex]}`
|
||||
}
|
||||
|
||||
const loading = ref(false)
|
||||
const rows = ref<DeviceLogFileRow[]>([])
|
||||
const total = ref(0)
|
||||
const page = ref(1)
|
||||
const pageSize = ref(15)
|
||||
const sourceFilter = ref('')
|
||||
const keyword = ref('')
|
||||
const startDate = ref('')
|
||||
const endDate = ref('')
|
||||
const retentionDays = ref(7)
|
||||
|
||||
const totalPages = computed(() => Math.max(1, Math.ceil(total.value / pageSize.value)))
|
||||
|
||||
async function load() {
|
||||
loading.value = true
|
||||
try {
|
||||
const result = await fetchDeviceLogFiles({
|
||||
source: sourceFilter.value || undefined,
|
||||
keyword: keyword.value.trim() || undefined,
|
||||
startDate: startDate.value || undefined,
|
||||
endDate: endDate.value || undefined,
|
||||
page: page.value,
|
||||
pageSize: pageSize.value,
|
||||
})
|
||||
rows.value = result?.items || []
|
||||
total.value = Number(result?.total || 0)
|
||||
if (result?.retentionDays) retentionDays.value = result.retentionDays
|
||||
} catch (error) {
|
||||
ElMessage.error(error instanceof Error ? error.message : '日志列表加载失败')
|
||||
} finally {
|
||||
loading.value = false
|
||||
}
|
||||
}
|
||||
|
||||
function search() {
|
||||
page.value = 1
|
||||
load()
|
||||
}
|
||||
|
||||
function reset() {
|
||||
sourceFilter.value = ''
|
||||
keyword.value = ''
|
||||
startDate.value = ''
|
||||
endDate.value = ''
|
||||
page.value = 1
|
||||
load()
|
||||
}
|
||||
|
||||
function changePage(next: number) {
|
||||
if (next < 1 || next > totalPages.value) return
|
||||
page.value = next
|
||||
load()
|
||||
}
|
||||
|
||||
function changeSize(size: number) {
|
||||
pageSize.value = size
|
||||
page.value = 1
|
||||
load()
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------- 内容查看
|
||||
|
||||
const TAIL_STEP = 256 * 1024
|
||||
const TAIL_MAX = 8 * 1024 * 1024
|
||||
|
||||
const viewerVisible = ref(false)
|
||||
const viewerLoading = ref(false)
|
||||
const viewerFile = ref<DeviceLogFileRow | null>(null)
|
||||
const viewerContent = ref<DeviceLogContent | null>(null)
|
||||
const viewerMaxBytes = ref(TAIL_STEP)
|
||||
const viewerPre = ref<HTMLElement | null>(null)
|
||||
|
||||
async function openViewer(row: DeviceLogFileRow) {
|
||||
viewerFile.value = row
|
||||
viewerMaxBytes.value = TAIL_STEP
|
||||
viewerContent.value = null
|
||||
viewerVisible.value = true
|
||||
await loadContent(true)
|
||||
}
|
||||
|
||||
async function loadContent(scrollToBottom: boolean) {
|
||||
if (!viewerFile.value) return
|
||||
viewerLoading.value = true
|
||||
try {
|
||||
viewerContent.value = await fetchDeviceLogContent(viewerFile.value.id, viewerMaxBytes.value)
|
||||
if (scrollToBottom) {
|
||||
await nextTick()
|
||||
if (viewerPre.value) viewerPre.value.scrollTop = viewerPre.value.scrollHeight
|
||||
}
|
||||
} catch (error) {
|
||||
ElMessage.error(error instanceof Error ? error.message : '日志内容加载失败')
|
||||
} finally {
|
||||
viewerLoading.value = false
|
||||
}
|
||||
}
|
||||
|
||||
function loadMore() {
|
||||
viewerMaxBytes.value = Math.min(viewerMaxBytes.value * 2, TAIL_MAX)
|
||||
loadContent(false)
|
||||
}
|
||||
|
||||
async function remove(row: DeviceLogFileRow) {
|
||||
if (!window.confirm(`确认删除「${row.fileName}」(${row.deviceName || row.deviceId})的云端日志?删除后不可恢复。`)) return
|
||||
try {
|
||||
await deleteDeviceLogFile(row.id)
|
||||
ElMessage.success('已删除')
|
||||
load()
|
||||
} catch (error) {
|
||||
ElMessage.error(error instanceof Error ? error.message : '删除失败')
|
||||
}
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------- 采集配置
|
||||
|
||||
const configVisible = ref(false)
|
||||
const configLoading = ref(false)
|
||||
const globalMode = ref('full')
|
||||
const overrides = ref<DeviceLogOverride[]>([])
|
||||
const devices = ref<DeviceLogDevice[]>([])
|
||||
const newOverrideKey = ref('')
|
||||
const newOverrideMode = ref('selected')
|
||||
|
||||
const MODE_OPTIONS = [
|
||||
{ value: 'full', label: '全量采集' },
|
||||
{ value: 'selected', label: '精选采集' },
|
||||
]
|
||||
|
||||
function modeLabel(mode: string): string {
|
||||
return mode === 'selected' ? '精选' : '全量'
|
||||
}
|
||||
|
||||
async function openConfig() {
|
||||
configVisible.value = true
|
||||
await loadConfig()
|
||||
}
|
||||
|
||||
async function loadConfig() {
|
||||
configLoading.value = true
|
||||
try {
|
||||
const data = await fetchDeviceLogConfig()
|
||||
globalMode.value = data.globalMode || 'full'
|
||||
overrides.value = data.overrides || []
|
||||
devices.value = (await fetchDeviceLogDevices()) || []
|
||||
} catch (error) {
|
||||
ElMessage.error(error instanceof Error ? error.message : '采集配置加载失败')
|
||||
} finally {
|
||||
configLoading.value = false
|
||||
}
|
||||
}
|
||||
|
||||
async function saveGlobalMode(mode: string) {
|
||||
if (mode === globalMode.value) return
|
||||
try {
|
||||
await updateDeviceLogGlobalMode(mode)
|
||||
globalMode.value = mode
|
||||
ElMessage.success(`全局采集模式已切换为「${modeLabel(mode)}」`)
|
||||
} catch (error) {
|
||||
ElMessage.error(error instanceof Error ? error.message : '保存失败')
|
||||
}
|
||||
}
|
||||
|
||||
async function addOverride() {
|
||||
if (!newOverrideKey.value) {
|
||||
ElMessage.warning('请先选择终端')
|
||||
return
|
||||
}
|
||||
const [source, deviceId] = newOverrideKey.value.split('|')
|
||||
const device = devices.value.find((item) => item.source === source && item.deviceId === deviceId)
|
||||
try {
|
||||
await updateDeviceLogOverride(source, deviceId, device?.deviceName || null, newOverrideMode.value)
|
||||
ElMessage.success('终端覆盖已保存')
|
||||
newOverrideKey.value = ''
|
||||
await loadConfig()
|
||||
} catch (error) {
|
||||
ElMessage.error(error instanceof Error ? error.message : '保存失败')
|
||||
}
|
||||
}
|
||||
|
||||
async function removeOverride(row: DeviceLogOverride) {
|
||||
const who = row.deviceName || row.deviceId
|
||||
if (!window.confirm(`确认删除终端「${who}」的采集覆盖(回落到全局默认)?`)) return
|
||||
try {
|
||||
await deleteDeviceLogOverride(row.id)
|
||||
ElMessage.success('已删除')
|
||||
await loadConfig()
|
||||
} catch (error) {
|
||||
ElMessage.error(error instanceof Error ? error.message : '删除失败')
|
||||
}
|
||||
}
|
||||
|
||||
onMounted(load)
|
||||
</script>
|
||||
|
||||
<template>
|
||||
<div class="device-logs-view">
|
||||
<section class="panel-box">
|
||||
<div class="logs-head">
|
||||
<h3>日志文件列表</h3>
|
||||
<div class="logs-head-tools">
|
||||
<span class="retention-tip">云端仅保留 {{ retentionDays }} 天</span>
|
||||
<button class="btn btn-ghost" type="button" @click="openConfig">采集配置</button>
|
||||
<button class="btn" type="button" @click="load">刷新</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="form-row logs-filter-row">
|
||||
<div class="form-group" style="min-width: 150px">
|
||||
<label>来源</label>
|
||||
<select v-model="sourceFilter">
|
||||
<option v-for="option in SOURCE_OPTIONS" :key="option.value" :value="option.value">{{ option.label }}</option>
|
||||
</select>
|
||||
</div>
|
||||
<div class="form-group" style="min-width: 220px">
|
||||
<label>设备 / 文件名</label>
|
||||
<input v-model="keyword" type="text" placeholder="模糊搜索设备名、设备ID、文件名" @keyup.enter="search" />
|
||||
</div>
|
||||
<div class="form-group" style="min-width: 150px">
|
||||
<label>日志日期(起)</label>
|
||||
<input v-model="startDate" type="date" />
|
||||
</div>
|
||||
<div class="form-group" style="min-width: 150px">
|
||||
<label>日志日期(止)</label>
|
||||
<input v-model="endDate" type="date" />
|
||||
</div>
|
||||
<div class="form-group">
|
||||
<label> </label>
|
||||
<div class="filter-actions">
|
||||
<button class="btn" type="button" @click="search">查询</button>
|
||||
<button class="btn btn-ghost" type="button" @click="reset">重置</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="logs-table-scroll">
|
||||
<table>
|
||||
<thead>
|
||||
<tr>
|
||||
<th style="width: 110px">来源</th>
|
||||
<th style="width: 230px">设备</th>
|
||||
<th style="width: 130px">用户</th>
|
||||
<th style="width: 230px">文件名</th>
|
||||
<th style="width: 110px">日志日期</th>
|
||||
<th style="width: 100px">已收大小</th>
|
||||
<th style="width: 80px">片段数</th>
|
||||
<th style="width: 170px">最后更新</th>
|
||||
<th style="width: 190px">操作</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<template v-if="rows.length">
|
||||
<tr v-for="row in rows" :key="row.id">
|
||||
<td>
|
||||
<span class="source-pill" :class="row.source === 'maixiang' ? 'is-maixiang' : 'is-client'">
|
||||
{{ sourceLabel(row.source) }}
|
||||
</span>
|
||||
</td>
|
||||
<td>
|
||||
<span class="device-name" :title="row.deviceId">{{ row.deviceName || '—' }}</span>
|
||||
<span class="device-id" :title="row.deviceId">{{ row.deviceId }}</span>
|
||||
</td>
|
||||
<td>
|
||||
<span v-if="row.username" class="user-name">{{ row.username }}</span>
|
||||
<span v-else-if="row.uid" class="user-name">UID {{ row.uid }}</span>
|
||||
<span v-else class="dim">—</span>
|
||||
</td>
|
||||
<td>
|
||||
<span class="file-name" :title="row.fileName">{{ row.fileName }}</span>
|
||||
</td>
|
||||
<td>{{ row.logDate }}</td>
|
||||
<td>{{ formatBytes(row.uploadedBytes) }}</td>
|
||||
<td>{{ row.partCount ?? 0 }}</td>
|
||||
<td>{{ row.lastUploadAt ? formatDateTime(row.lastUploadAt) : '—' }}</td>
|
||||
<td class="ops-cell">
|
||||
<button class="btn btn-sm" type="button" @click="openViewer(row)">查看</button>
|
||||
<a class="btn btn-sm btn-ghost dl-link" :href="deviceLogDownloadUrl(row.id)" download>下载</a>
|
||||
<button class="btn btn-sm btn-danger" type="button" @click="remove(row)">删除</button>
|
||||
</td>
|
||||
</tr>
|
||||
</template>
|
||||
<tr v-else-if="loading">
|
||||
<td colspan="9" class="empty-tip">加载中...</td>
|
||||
</tr>
|
||||
<tr v-else>
|
||||
<td colspan="9" class="empty-tip">
|
||||
{{ keyword || sourceFilter || startDate || endDate ? '暂无匹配日志' : '暂无日志上报(客户端/采集机上报后自动出现在这里)' }}
|
||||
</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
<OldPagination :total="total" :page="page" :page-size="pageSize" @change="changePage" @size-change="changeSize" />
|
||||
</section>
|
||||
|
||||
<el-dialog v-model="viewerVisible" :title="viewerFile ? `${viewerFile.fileName}(${viewerFile.deviceName || viewerFile.deviceId})` : '日志内容'" width="900px" top="5vh">
|
||||
<div class="viewer-toolbar">
|
||||
<span class="viewer-meta">
|
||||
云端已收 {{ formatBytes(viewerContent?.totalBytes ?? viewerFile?.uploadedBytes) }}
|
||||
<template v-if="viewerContent"> · 当前展示 {{ formatBytes(viewerContent.shownBytes) }}</template>
|
||||
<template v-if="viewerContent?.truncated"> · 更早内容未加载</template>
|
||||
</span>
|
||||
<span class="viewer-actions">
|
||||
<button class="btn btn-sm btn-ghost" type="button" :disabled="viewerLoading" @click="loadContent(true)">刷新</button>
|
||||
<button
|
||||
class="btn btn-sm btn-ghost"
|
||||
type="button"
|
||||
:disabled="viewerLoading || !viewerContent?.truncated || viewerMaxBytes >= TAIL_MAX"
|
||||
@click="loadMore"
|
||||
>加载更早</button>
|
||||
<a v-if="viewerFile" class="btn btn-sm btn-ghost dl-link" :href="deviceLogDownloadUrl(viewerFile.id)" download>下载完整日志</a>
|
||||
</span>
|
||||
</div>
|
||||
<pre ref="viewerPre" class="log-pre">{{ viewerLoading && !viewerContent ? '加载中...' : (viewerContent?.content || '(暂无内容)') }}</pre>
|
||||
</el-dialog>
|
||||
|
||||
<el-dialog v-model="configVisible" title="采集配置" width="720px">
|
||||
<div class="config-block">
|
||||
<h4>全局默认模式</h4>
|
||||
<p class="config-desc">对未单独配置的终端生效。全量=上传日志目录内全部文件;精选=排除低价值大日志(客户端排除 pywebview;麦象排除 kk-browser / 控制台 / 测试日志)。终端在下一次上报周期(约 1 分钟内)跟随新配置。</p>
|
||||
<div class="mode-switch">
|
||||
<button
|
||||
v-for="option in MODE_OPTIONS"
|
||||
:key="option.value"
|
||||
class="mode-btn"
|
||||
:class="{ 'is-active': globalMode === option.value }"
|
||||
type="button"
|
||||
@click="saveGlobalMode(option.value)"
|
||||
>{{ option.label }}</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="config-block">
|
||||
<h4>终端覆盖</h4>
|
||||
<div class="override-add">
|
||||
<select v-model="newOverrideKey" class="override-select">
|
||||
<option value="">选择终端(最近上报的设备)</option>
|
||||
<option v-for="device in devices" :key="`${device.source}|${device.deviceId}`" :value="`${device.source}|${device.deviceId}`">
|
||||
{{ sourceLabel(device.source) }} · {{ device.deviceName || device.deviceId }}({{ device.deviceId }})
|
||||
</option>
|
||||
</select>
|
||||
<select v-model="newOverrideMode">
|
||||
<option v-for="option in MODE_OPTIONS" :key="option.value" :value="option.value">{{ option.label }}</option>
|
||||
</select>
|
||||
<button class="btn btn-sm" type="button" @click="addOverride">添加/更新覆盖</button>
|
||||
</div>
|
||||
<table class="override-table">
|
||||
<thead>
|
||||
<tr>
|
||||
<th style="width: 100px">来源</th>
|
||||
<th>设备</th>
|
||||
<th style="width: 80px">模式</th>
|
||||
<th style="width: 160px">更新时间</th>
|
||||
<th style="width: 90px">操作</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr v-for="row in overrides" :key="row.id">
|
||||
<td>{{ sourceLabel(row.source) }}</td>
|
||||
<td>
|
||||
<span class="device-name">{{ row.deviceName || row.deviceId }}</span>
|
||||
<span class="device-id">{{ row.deviceId }}</span>
|
||||
</td>
|
||||
<td>{{ modeLabel(row.mode) }}</td>
|
||||
<td>{{ row.updatedAt ? formatDateTime(row.updatedAt) : '—' }}</td>
|
||||
<td class="ops-cell">
|
||||
<button class="btn btn-sm btn-danger" type="button" @click="removeOverride(row)">删除</button>
|
||||
</td>
|
||||
</tr>
|
||||
<tr v-if="!overrides.length">
|
||||
<td colspan="5" class="empty-tip">{{ configLoading ? '加载中...' : '暂无终端覆盖(全部跟随全局默认)' }}</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
<template #footer>
|
||||
<el-button @click="configVisible = false">关闭</el-button>
|
||||
</template>
|
||||
</el-dialog>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
<style scoped>
|
||||
/* 沿用「记录与版本」系列的旧后台面板视觉语言。 */
|
||||
.device-logs-view {
|
||||
font-family: inherit;
|
||||
color: #24384d;
|
||||
}
|
||||
.panel-box {
|
||||
width: 100%;
|
||||
min-width: 0;
|
||||
padding: 20px 22px 24px;
|
||||
border: 1px solid #d8e3ee;
|
||||
border-radius: 14px;
|
||||
background: linear-gradient(145deg, #ffffff, #f9fbfd);
|
||||
box-shadow: 0 1px 2px rgba(39, 67, 94, 0.04), 0 14px 30px -24px rgba(39, 67, 94, 0.28);
|
||||
}
|
||||
h3 {
|
||||
margin: 0;
|
||||
font-size: 15px;
|
||||
font-weight: 650;
|
||||
color: #24384d;
|
||||
letter-spacing: 0.2px;
|
||||
}
|
||||
.logs-head {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
gap: 12px;
|
||||
margin-bottom: 16px;
|
||||
}
|
||||
.logs-head-tools {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 10px;
|
||||
}
|
||||
.retention-tip {
|
||||
color: #8598ab;
|
||||
font-size: 12.5px;
|
||||
}
|
||||
.logs-filter-row {
|
||||
margin: 0 0 16px;
|
||||
}
|
||||
.form-row {
|
||||
display: flex;
|
||||
flex-wrap: wrap;
|
||||
align-items: flex-end;
|
||||
gap: 14px 18px;
|
||||
}
|
||||
.form-group {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 7px;
|
||||
}
|
||||
.form-group label {
|
||||
color: #5b6f83;
|
||||
font-size: 12.5px;
|
||||
font-weight: 600;
|
||||
}
|
||||
.form-group input,
|
||||
.form-group select {
|
||||
min-width: 0;
|
||||
min-height: 42px;
|
||||
padding: 8px 12px;
|
||||
border: 1px solid #cbd9e6;
|
||||
border-radius: 9px;
|
||||
background: #f8fbfd;
|
||||
color: #24384d;
|
||||
font-size: 13.5px;
|
||||
font-family: inherit;
|
||||
color-scheme: light;
|
||||
outline: none;
|
||||
}
|
||||
.form-group input:focus,
|
||||
.form-group select:focus {
|
||||
background: #ffffff;
|
||||
border-color: #5f85ad;
|
||||
box-shadow: 0 0 0 3px rgba(95, 133, 173, 0.16);
|
||||
}
|
||||
.filter-actions {
|
||||
display: flex;
|
||||
gap: 10px;
|
||||
}
|
||||
.btn {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
gap: 8px;
|
||||
min-height: 42px;
|
||||
padding: 9px 18px;
|
||||
border: 1px solid #4f78a5;
|
||||
border-radius: 9px;
|
||||
background: linear-gradient(135deg, #5f85ad, #4f78a5);
|
||||
color: #ffffff;
|
||||
font-family: inherit;
|
||||
font-size: 13.5px;
|
||||
cursor: pointer;
|
||||
box-shadow: 0 8px 18px -14px rgba(79, 120, 165, 0.72);
|
||||
text-decoration: none;
|
||||
}
|
||||
.btn:hover:not(:disabled) {
|
||||
background: linear-gradient(135deg, #7094ba, #5d83ac);
|
||||
}
|
||||
.btn:disabled {
|
||||
cursor: not-allowed;
|
||||
opacity: 0.55;
|
||||
}
|
||||
.btn-ghost {
|
||||
background: #ffffff;
|
||||
border-color: #c7d7e5;
|
||||
color: #4f78a5;
|
||||
box-shadow: none;
|
||||
}
|
||||
.btn-ghost:hover:not(:disabled) {
|
||||
background: #edf5fb;
|
||||
border-color: #95b1cb;
|
||||
color: #2f5d8b;
|
||||
}
|
||||
.btn-danger {
|
||||
background: linear-gradient(135deg, #c06d77, #b35f6a);
|
||||
border-color: #b35f6a;
|
||||
}
|
||||
.btn-danger:hover:not(:disabled) {
|
||||
background: linear-gradient(135deg, #cb7c84, #b96570);
|
||||
}
|
||||
.btn-sm {
|
||||
min-height: 32px;
|
||||
padding: 4px 12px;
|
||||
font-size: 12.5px;
|
||||
border-radius: 7px;
|
||||
}
|
||||
.logs-table-scroll {
|
||||
width: 100%;
|
||||
overflow-x: auto;
|
||||
}
|
||||
table {
|
||||
width: 100%;
|
||||
border-collapse: collapse;
|
||||
font-size: 13px;
|
||||
}
|
||||
th {
|
||||
padding: 10px 12px;
|
||||
text-align: left;
|
||||
color: #5b6f83;
|
||||
font-weight: 650;
|
||||
font-size: 12.5px;
|
||||
border-bottom: 1px solid #dbe6f0;
|
||||
white-space: nowrap;
|
||||
}
|
||||
td {
|
||||
padding: 10px 12px;
|
||||
border-bottom: 1px solid #eaf1f7;
|
||||
vertical-align: top;
|
||||
}
|
||||
.source-pill {
|
||||
display: inline-block;
|
||||
padding: 2px 10px;
|
||||
border-radius: 999px;
|
||||
font-size: 12px;
|
||||
font-weight: 600;
|
||||
}
|
||||
.source-pill.is-client {
|
||||
background: #e8f1fb;
|
||||
color: #37618f;
|
||||
}
|
||||
.source-pill.is-maixiang {
|
||||
background: #eef7ec;
|
||||
color: #3f7a42;
|
||||
}
|
||||
.device-name {
|
||||
display: block;
|
||||
font-weight: 600;
|
||||
word-break: break-all;
|
||||
}
|
||||
.device-id {
|
||||
display: block;
|
||||
color: #8598ab;
|
||||
font-size: 11.5px;
|
||||
word-break: break-all;
|
||||
}
|
||||
.user-name {
|
||||
font-weight: 600;
|
||||
}
|
||||
.file-name {
|
||||
display: block;
|
||||
word-break: break-all;
|
||||
}
|
||||
.dim {
|
||||
color: #9db0c2;
|
||||
}
|
||||
.ops-cell {
|
||||
display: flex;
|
||||
gap: 8px;
|
||||
flex-wrap: wrap;
|
||||
border-bottom: none;
|
||||
}
|
||||
.empty-tip {
|
||||
padding: 26px 0;
|
||||
text-align: center;
|
||||
color: #8598ab;
|
||||
}
|
||||
.dl-link {
|
||||
text-decoration: none;
|
||||
}
|
||||
.viewer-toolbar {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
gap: 12px;
|
||||
margin-bottom: 10px;
|
||||
}
|
||||
.viewer-meta {
|
||||
color: #5b6f83;
|
||||
font-size: 12.5px;
|
||||
}
|
||||
.viewer-actions {
|
||||
display: flex;
|
||||
gap: 8px;
|
||||
}
|
||||
.log-pre {
|
||||
max-height: 62vh;
|
||||
margin: 0;
|
||||
padding: 12px 14px;
|
||||
overflow: auto;
|
||||
border: 1px solid #d8e3ee;
|
||||
border-radius: 10px;
|
||||
background: #0f1c29;
|
||||
color: #d7e4f1;
|
||||
font-family: Consolas, 'Courier New', monospace;
|
||||
font-size: 12.5px;
|
||||
line-height: 1.55;
|
||||
white-space: pre;
|
||||
}
|
||||
.config-block {
|
||||
margin-bottom: 18px;
|
||||
}
|
||||
.config-block h4 {
|
||||
margin: 0 0 6px;
|
||||
font-size: 13.5px;
|
||||
color: #24384d;
|
||||
}
|
||||
.config-desc {
|
||||
margin: 0 0 10px;
|
||||
color: #66798d;
|
||||
font-size: 12.5px;
|
||||
line-height: 1.6;
|
||||
}
|
||||
.mode-switch {
|
||||
display: flex;
|
||||
gap: 10px;
|
||||
}
|
||||
.mode-btn {
|
||||
min-height: 38px;
|
||||
padding: 8px 20px;
|
||||
border: 1px solid #c7d7e5;
|
||||
border-radius: 9px;
|
||||
background: #ffffff;
|
||||
color: #4f78a5;
|
||||
font-size: 13.5px;
|
||||
font-family: inherit;
|
||||
cursor: pointer;
|
||||
}
|
||||
.mode-btn.is-active {
|
||||
border-color: #4f78a5;
|
||||
background: linear-gradient(135deg, #5f85ad, #4f78a5);
|
||||
color: #ffffff;
|
||||
font-weight: 600;
|
||||
}
|
||||
.override-add {
|
||||
display: flex;
|
||||
gap: 10px;
|
||||
margin-bottom: 12px;
|
||||
}
|
||||
.override-add select {
|
||||
min-height: 38px;
|
||||
padding: 6px 10px;
|
||||
border: 1px solid #cbd9e6;
|
||||
border-radius: 9px;
|
||||
background: #f8fbfd;
|
||||
color: #24384d;
|
||||
font-size: 13px;
|
||||
font-family: inherit;
|
||||
color-scheme: light;
|
||||
}
|
||||
.override-select {
|
||||
flex: 1;
|
||||
min-width: 0;
|
||||
}
|
||||
.override-table td {
|
||||
vertical-align: middle;
|
||||
}
|
||||
</style>
|
||||
@@ -25,6 +25,7 @@ export const adminPages: AdminPageDef[] = [
|
||||
{ path: 'records/history', menuKey: 'admin_history', title: '生成记录', load: () => import('@/pages/records/RecordsHistoryPage.vue') },
|
||||
{ path: 'records/software-version', menuKey: 'admin_version', title: '软件版本管理', load: () => import('@/pages/records/RecordsSoftwareVersionPage.vue') },
|
||||
{ path: 'records/tutorial', menuKey: 'admin_tutorial', title: '教程管理', load: () => import('@/pages/records/RecordsTutorialPage.vue') },
|
||||
{ path: 'records/device-logs', menuKey: 'admin_device_logs', title: '日志管理', load: () => import('@/pages/records/DeviceLogsPage.vue') },
|
||||
{ path: 'records/digital-human-version', menuKey: 'digital_human_version', title: '数字人版本管理', load: () => import('@/pages/records/RecordsDigitalHumanVersionPage.vue') },
|
||||
{ path: 'records/image-video-tasks', menuKey: 'admin_image_video_tasks', title: '视频任务记录', load: () => import('@/pages/tasks/ImageVideoTasksPage.vue') },
|
||||
{ path: 'shop-center/data-tasks', menuKey: 'admin_shop_data_crawl_tasks', title: '店铺数据记录', load: () => import('@/pages/tasks/ShopDataTasksPage.vue') },
|
||||
|
||||
@@ -12,6 +12,7 @@ export interface AdminUser {
|
||||
createdById?: number | null
|
||||
creatorUsername?: string
|
||||
createdAt?: string
|
||||
updatedAt?: string
|
||||
pinyinAbbr?: string
|
||||
}
|
||||
|
||||
|
||||
@@ -82,7 +82,9 @@ test('align_query_asin_page_layout_wiring', () => {
|
||||
assert.match(page, /新增 ASIN/, '顶栏补新增 ASIN 按钮')
|
||||
assert.match(page, /:rowspan="row\.rowspan"/, '表格用原生 rowspan 合并(像素复刻旧版)')
|
||||
assert.match(page, /CopyText/, 'ASIN 单元格点击复制')
|
||||
assert.doesNotMatch(page, /更新时间/, '去掉更新时间列(参考无此列)')
|
||||
// 需求变更:后台管理列表统一展示「创建时间 + 更新时间」,覆盖早期「不加更新时间」的像素对齐。
|
||||
assert.match(page, /创建时间/, '表格含创建时间列')
|
||||
assert.match(page, /更新时间/, '表格含更新时间列')
|
||||
assert.match(page, /queryAsinDisplayRows/, '行展开走纯模型')
|
||||
assert.match(page, /请完整填写分组、店铺名、国家和 ASIN/, '新增弹窗校验文案对齐')
|
||||
assert.match(page, /请先选择分组/, '店铺下拉未选分组时占位对齐')
|
||||
|
||||
@@ -82,7 +82,9 @@ test('align_skip_price_page_layout_wiring', () => {
|
||||
assert.match(page, /新增 ASIN/, '顶栏补新增 ASIN 按钮')
|
||||
assert.match(page, /:rowspan="row\.rowspan"/, '表格用原生 rowspan 合并(像素复刻旧版)')
|
||||
assert.match(page, /CopyText/, 'ASIN 单元格点击复制')
|
||||
assert.doesNotMatch(page, /更新时间/, '去掉更新时间列(参考无此列)')
|
||||
// 需求变更:后台管理列表统一展示「创建时间 + 更新时间」,覆盖早期「不加更新时间」的像素对齐。
|
||||
assert.match(page, /创建时间/, '表格含创建时间列')
|
||||
assert.match(page, /更新时间/, '表格含更新时间列')
|
||||
assert.match(page, /skipPriceDisplayRows/, '行展开走纯模型')
|
||||
assert.match(page, /请完整填写分组、店铺名、国家和 ASIN/, '新增弹窗校验文案对齐')
|
||||
assert.match(page, /最低价格式不正确/, '最低价格式校验对齐')
|
||||
|
||||
@@ -0,0 +1,86 @@
|
||||
import test from 'node:test'
|
||||
import assert from 'node:assert/strict'
|
||||
import { readSource } from './helpers.ts'
|
||||
import {
|
||||
buildMenuOptionTree,
|
||||
compactDirectGrantIds,
|
||||
parseMenuOptionList,
|
||||
parsePermissionMenuItem,
|
||||
} from '../src/pages/account/user-menu-auth.ts'
|
||||
|
||||
// 2026-09-16 线上事故:非超管(普通管理员)在授权树里勾到自己无权授予的菜单后,
|
||||
// 后端 ensureGrantable 抛 403 并回滚整笔事务——创建用户与保存权限双双失败,
|
||||
// 前端只显示「普通管理员只能分配自己已有的菜单权限」。
|
||||
// 修复:菜单列表按操作者标记 grantable,前端把不可授予的节点置灰不可勾。
|
||||
//
|
||||
// 注意:这里是「置灰」而非「隐藏」。授权保存是整树替换,隐藏会让超管早先授予、
|
||||
// 而操作者自己没有的菜单在提交时被当作取消勾选删掉(与 09-13「权限自己没掉」同类)。
|
||||
|
||||
test('align_user_menu_grantable_false_maps_to_disabled_node', () => {
|
||||
const locked = parsePermissionMenuItem(
|
||||
{ id: 5, name: '查询ASIN', parent_id: null, sort_order: 1, grantable: false },
|
||||
'admin',
|
||||
)
|
||||
assert.equal(locked?.disabled, true, 'grantable=false → 节点置灰')
|
||||
|
||||
const allowed = parsePermissionMenuItem(
|
||||
{ id: 6, name: '店铺管理', parent_id: null, sort_order: 2, grantable: true },
|
||||
'admin',
|
||||
)
|
||||
assert.equal(allowed?.disabled, false, 'grantable=true → 可勾选')
|
||||
|
||||
// 菜单管理页等未标记 grantable 的接口必须保持旧行为(全部可勾选)
|
||||
const unmarked = parsePermissionMenuItem({ id: 7, name: '菜单权限配置', parent_id: null, sort_order: 3 }, 'admin')
|
||||
assert.equal(unmarked?.disabled, false, '缺省 grantable 视为可授予')
|
||||
})
|
||||
|
||||
test('align_user_menu_grantable_survives_tree_build', () => {
|
||||
const nodes = parseMenuOptionList(
|
||||
[
|
||||
{ id: 98, name: '账号与权限', parent_id: null, sort_order: 1, grantable: false },
|
||||
{ id: 7, name: '用户管理', parent_id: 98, sort_order: 1, grantable: false },
|
||||
{ id: 100, name: '店铺管理', parent_id: null, sort_order: 2, grantable: true },
|
||||
],
|
||||
'admin',
|
||||
)
|
||||
const tree = buildMenuOptionTree(nodes)
|
||||
const account = tree.find((node) => node.id === 98)
|
||||
assert.equal(account?.disabled, true, '分组节点置灰')
|
||||
assert.equal(account?.children?.[0]?.disabled, true, '子节点置灰随树保留')
|
||||
assert.equal(tree.find((node) => node.id === 100)?.disabled, false, '可授予节点不受影响')
|
||||
})
|
||||
|
||||
test('align_user_menu_grantable_disabled_node_still_compactable', () => {
|
||||
// 已持有但无权授予的节点会保持勾选并原样提交,压缩逻辑不能因 disabled 漏掉它
|
||||
const tree = buildMenuOptionTree(
|
||||
parseMenuOptionList(
|
||||
[
|
||||
{ id: 98, name: '账号与权限', parent_id: null, sort_order: 1, grantable: false },
|
||||
{ id: 7, name: '用户管理', parent_id: 98, sort_order: 1, grantable: false },
|
||||
],
|
||||
'admin',
|
||||
),
|
||||
)
|
||||
assert.deepEqual(compactDirectGrantIds([98, 7], tree), [98], '父级已勾选时仍压缩掉后代')
|
||||
})
|
||||
|
||||
test('align_user_menu_grantable_wired_end_to_end', () => {
|
||||
const tree = readSource('src/pages/account/UserMenuAuthTree.vue')
|
||||
assert.match(tree, /disabled: 'disabled'/, 'el-tree 按 disabled 键置灰节点')
|
||||
|
||||
const vo = readSource(
|
||||
'../backend-java/src/main/java/com/nanri/aiimage/modules/permission/model/vo/PermissionMenuItemVo.java',
|
||||
)
|
||||
assert.match(vo, /private Boolean grantable;/, 'VO 暴露 grantable')
|
||||
|
||||
const controller = readSource(
|
||||
'../backend-java/src/main/java/com/nanri/aiimage/modules/permission/controller/PermissionMenuController.java',
|
||||
)
|
||||
assert.match(controller, /permissionMenuService\.list\(requireAdmin\(request\), menuType\)/, '列表接口传入操作者')
|
||||
|
||||
const service = readSource(
|
||||
'../backend-java/src/main/java/com/nanri/aiimage/modules/permission/service/PermissionMenuService.java',
|
||||
)
|
||||
assert.match(service, /resolveGrantableMenuIds/, '按操作者计算可授予集')
|
||||
assert.match(service, /ensureGrantable\(operator, grantIds, userId\)/, '保存校验传入目标用户以放行既有授权')
|
||||
})
|
||||
@@ -25,4 +25,12 @@ public final class BusinessCodes {
|
||||
|
||||
/** 任务归属其它实例,需转发。 */
|
||||
public static final int TASK_OWNER_FORWARD = 40903;
|
||||
|
||||
/**
|
||||
* 提交结果的目标任务已不存在(通常是被删除)。
|
||||
* 语义:本次提交无意义,响应 success=false 且带该码,调用方应放弃而不是反复重试。
|
||||
* 与 {@link #TASK_ALREADY_FINISHED} 的区别:那个还留了任务记录(可幂等忽略),
|
||||
* 这个任务已经没了——如实报错,否则任务被误删时结果会被静默吞掉。
|
||||
*/
|
||||
public static final int TASK_NOT_FOUND = 40401;
|
||||
}
|
||||
|
||||
+40
-5
@@ -1,18 +1,21 @@
|
||||
package com.nanri.aiimage.common.exception;
|
||||
|
||||
import com.nanri.aiimage.common.api.ApiResponse;
|
||||
import com.nanri.aiimage.common.security.DeviceSessionPolicy;
|
||||
import com.nanri.aiimage.common.service.TaskOwnerForwardService;
|
||||
import com.nanri.aiimage.config.TaskOperationLockConfig;
|
||||
import jakarta.servlet.http.HttpServletRequest;
|
||||
import jakarta.validation.ConstraintViolationException;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.http.HttpStatus;
|
||||
import org.springframework.http.ResponseEntity;
|
||||
import org.springframework.web.bind.MethodArgumentNotValidException;
|
||||
import org.springframework.web.bind.annotation.ExceptionHandler;
|
||||
import org.springframework.web.bind.annotation.RestControllerAdvice;
|
||||
import org.springframework.web.context.request.async.AsyncRequestNotUsableException;
|
||||
import org.springframework.web.server.ResponseStatusException;
|
||||
import org.springframework.web.servlet.resource.NoResourceFoundException;
|
||||
|
||||
import java.io.IOException;
|
||||
|
||||
@@ -52,22 +55,40 @@ public class GlobalExceptionHandler {
|
||||
? ApiResponse.fail(forwardEx.getMessage())
|
||||
: ApiResponse.fail(forwardEx.getCode(), forwardEx.getMessage());
|
||||
} catch (Exception forwardEx) {
|
||||
// 转发失败是**瞬时基础设施故障**(归属实例正在滚动重启),不是业务结论,
|
||||
// 更不能表达成「任务不存活」。原先返回 ApiResponse.fail(40903) —— HTTP 200
|
||||
// 加 data:null,而客户端那句 bool((resp.json().get("data") or {}).get("alive"))
|
||||
// 会把「拿不到数据」折叠成 alive=false,于是客户端把**健康的长任务主动停掉**:
|
||||
// 2026-09-18 任务 28616 就是这么死的(归属节点 server-110 重启窗口内,心跳经
|
||||
// nginx 落到 server-121,转发 3 次 Connection refused 后返回空 data)。
|
||||
// 改为 503 + 空 body:新客户端按状态码判为「未知」继续跑;老客户端因 body 不是
|
||||
// JSON、resp.json() 抛异常,同样落到「未知」。顺带让这类故障在 HTTP 指标里可见
|
||||
// (原先记成 200,监控完全看不到滚动重启期间丢了多少心跳)。
|
||||
log.warn("[instance-routing] forward failed taskId={} operation={} owner={} current={} msg={}",
|
||||
ex.getTaskId(), ex.getOperation(), ex.getOwnerInstanceId(), ex.getCurrentInstanceId(),
|
||||
forwardEx.getMessage(), forwardEx);
|
||||
return ApiResponse.fail(40903, "任务归属实例转发失败: " + forwardEx.getMessage());
|
||||
return ResponseEntity.status(HttpStatus.SERVICE_UNAVAILABLE).build();
|
||||
}
|
||||
}
|
||||
|
||||
@ExceptionHandler(BusinessException.class)
|
||||
public ApiResponse<Void> handleBusinessException(BusinessException ex) {
|
||||
public ApiResponse<Void> handleBusinessException(BusinessException ex, HttpServletRequest request) {
|
||||
// 业务异常此前完全不记日志:2026-09-16 线上「保存权限/创建用户」双双失败时,
|
||||
// 服务端只留 RequestTraceFilter 的 200 一行,根因只能靠反推响应体字节数才定位到。
|
||||
// 401/4011(未登录、被顶下线)属于轮询类接口的常态噪声,降为 debug 以免淹没真实业务错。
|
||||
if (isRoutineAuthNoise(ex.getCode())) {
|
||||
log.debug("[business] {} {} code={} message={}", request.getMethod(), request.getRequestURI(),
|
||||
ex.getCode(), ex.getMessage());
|
||||
} else {
|
||||
log.warn("[business] {} {} code={} message={}", request.getMethod(), request.getRequestURI(),
|
||||
ex.getCode(), ex.getMessage());
|
||||
}
|
||||
if (Integer.valueOf(BusinessCodes.TASK_ALREADY_FINISHED).equals(ex.getCode())) {
|
||||
// 幂等忽略:任务已结束时的重复提交无副作用,按成功返回,避免客户端反复重试
|
||||
return ApiResponse.success("任务已结束,忽略重复提交", null);
|
||||
}
|
||||
if (Integer.valueOf(BusinessCodes.TASK_BUSY).equals(ex.getCode())) {
|
||||
// 锁竞争:必须如实返回失败 + 可重试码,否则 worker 会把「未落库」当成功而停止重试
|
||||
log.warn("[business] 任务忙,调用方应稍后重试: {}", ex.getMessage());
|
||||
return ApiResponse.fail(BusinessCodes.TASK_BUSY, ex.getMessage());
|
||||
}
|
||||
return ex.getCode() == null
|
||||
@@ -75,9 +96,23 @@ public class GlobalExceptionHandler {
|
||||
: ApiResponse.fail(ex.getCode(), ex.getMessage());
|
||||
}
|
||||
|
||||
@ExceptionHandler(NoResourceFoundException.class)
|
||||
public ResponseEntity<ApiResponse<Void>> handleNoResourceFoundException(NoResourceFoundException ex) {
|
||||
// 静态资源 404。绝大部分是外部扫描器在探测 /.env、/credentials、aliyun.json、oss.json
|
||||
// 这类云凭据文件(线上单节点一天 580 条)。此前落到 handleException 里,既刷 ERROR 堆栈,
|
||||
// 又把探测响应伪装成 HTTP 200;这里降为 debug 并如实返回 404。
|
||||
log.debug("static resource not found: {}", ex.getMessage());
|
||||
return ResponseEntity.status(HttpStatus.NOT_FOUND).body(ApiResponse.fail("资源不存在"));
|
||||
}
|
||||
|
||||
/** 未登录 / 登录态失效 / 被其他设备顶下线:按 401 语义的常态噪声,不占 WARN。 */
|
||||
private boolean isRoutineAuthNoise(Integer code) {
|
||||
return Integer.valueOf(401).equals(code)
|
||||
|| Integer.valueOf(DeviceSessionPolicy.CODE_KICKED).equals(code);
|
||||
}
|
||||
|
||||
@ExceptionHandler(MethodArgumentNotValidException.class)
|
||||
public ApiResponse<Void> handleMethodArgumentNotValidException(MethodArgumentNotValidException ex) {
|
||||
String message = ex.getBindingResult().getFieldError() != null
|
||||
public ApiResponse<Void> handleMethodArgumentNotValidException(MethodArgumentNotValidException ex) { String message = ex.getBindingResult().getFieldError() != null
|
||||
? ex.getBindingResult().getFieldError().getDefaultMessage()
|
||||
: "参数校验失败";
|
||||
return ApiResponse.fail(message);
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
package com.nanri.aiimage.common.model.entity;
|
||||
|
||||
import com.baomidou.mybatisplus.annotation.FieldStrategy;
|
||||
import com.baomidou.mybatisplus.annotation.IdType;
|
||||
import com.baomidou.mybatisplus.annotation.TableField;
|
||||
import com.baomidou.mybatisplus.annotation.TableId;
|
||||
@@ -24,5 +25,13 @@ public class AdminUserEntity {
|
||||
private Long createdById;
|
||||
@TableField("created_at")
|
||||
private LocalDateTime createdAt;
|
||||
/**
|
||||
* 更新时间(V131 新增):由数据库维护(DEFAULT CURRENT_TIMESTAMP + ON UPDATE CURRENT_TIMESTAMP)。
|
||||
*
|
||||
* <p>禁止应用显式写:MySQL 在 UPDATE 语句显式给该列赋值时不会触发自动更新,
|
||||
* 而本表写回多为 selectById → 改字段 → updateById(实体带着旧值),一旦写回就会冻结更新时间。
|
||||
*/
|
||||
@TableField(value = "updated_at", insertStrategy = FieldStrategy.NEVER, updateStrategy = FieldStrategy.NEVER)
|
||||
private LocalDateTime updatedAt;
|
||||
private String machine;
|
||||
}
|
||||
|
||||
@@ -9,6 +9,7 @@ import io.jsonwebtoken.Claims;
|
||||
import jakarta.servlet.http.Cookie;
|
||||
import jakarta.servlet.http.HttpServletRequest;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.http.HttpHeaders;
|
||||
import org.springframework.stereotype.Component;
|
||||
|
||||
@@ -19,6 +20,7 @@ import java.nio.charset.StandardCharsets;
|
||||
import java.nio.file.Files;
|
||||
import java.nio.file.Path;
|
||||
|
||||
@Slf4j
|
||||
@Component
|
||||
@RequiredArgsConstructor
|
||||
public class AdminAuthSupport {
|
||||
@@ -62,8 +64,30 @@ public class AdminAuthSupport {
|
||||
return user;
|
||||
}
|
||||
|
||||
/** 当前用户必须是管理员或超级管理员,否则抛 403。 */
|
||||
public AdminUserEntity requireAdmin(HttpServletRequest request) {
|
||||
/**
|
||||
* 解析当前请求 JWT 中**签名的**设备标识(deviceId claim);识别不出时返回空串。
|
||||
*
|
||||
* <p>无 token、token 过期/非法、内部令牌通道调用一律返回空串——调用方必须把空串
|
||||
* 当作"来源不明"做保守判定,绝不据此放宽任何限制。只认签名 claim,不接受
|
||||
* X-Device-Id 请求头(头由客户端可控,见 {@link DeviceSessionPolicy} 类注释)。</p>
|
||||
*
|
||||
* <p>本方法只做识别、不做鉴权,因此解析失败不抛异常,仅记日志后返回空串,
|
||||
* 避免把匿名/内部调用直接升级成 401。</p>
|
||||
*/
|
||||
public String currentDeviceId(HttpServletRequest request) {
|
||||
String token = resolveToken(request);
|
||||
if (token == null || token.isBlank()) {
|
||||
return "";
|
||||
}
|
||||
try {
|
||||
return DeviceSessionPolicy.claimDeviceId(jwtService.parse(token));
|
||||
} catch (Exception ex) {
|
||||
log.warn("[auth] 解析 token 取设备标识失败,按来源不明处理: {}", ex.getMessage());
|
||||
return "";
|
||||
}
|
||||
}
|
||||
|
||||
/** 当前用户必须是管理员或超级管理员,否则抛 403。 */ public AdminUserEntity requireAdmin(HttpServletRequest request) {
|
||||
AdminUserEntity user = requireUser(request);
|
||||
String role = currentRole(user);
|
||||
if (role == null) {
|
||||
|
||||
+55
@@ -13,10 +13,12 @@ import org.springframework.http.ResponseEntity;
|
||||
import org.springframework.http.client.SimpleClientHttpRequestFactory;
|
||||
import org.springframework.stereotype.Service;
|
||||
import org.springframework.util.StreamUtils;
|
||||
import org.springframework.web.client.ResourceAccessException;
|
||||
import org.springframework.web.client.RestClient;
|
||||
import org.springframework.web.util.ContentCachingRequestWrapper;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.net.ConnectException;
|
||||
import java.util.Enumeration;
|
||||
import java.util.List;
|
||||
import java.util.Set;
|
||||
@@ -28,6 +30,11 @@ public class TaskOwnerForwardService {
|
||||
|
||||
public static final String FORWARDED_HEADER = "X-AIIMAGE-Owner-Forwarded";
|
||||
|
||||
/** 连接类失败的重试次数(含首次)。对端滚动重启时通常几秒内即可恢复。 */
|
||||
private static final int CONNECT_RETRY_TIMES = 3;
|
||||
/** 第 n 次重试前的退避:1s、2s(总等待不超过 3s,不长时间占用请求线程)。 */
|
||||
private static final long CONNECT_RETRY_BACKOFF_MILLIS = 1000L;
|
||||
|
||||
private static final Set<String> HOP_BY_HOP_HEADERS = Set.of(
|
||||
"connection",
|
||||
"keep-alive",
|
||||
@@ -58,12 +65,60 @@ public class TaskOwnerForwardService {
|
||||
HttpHeaders headers = copyForwardHeaders(request, ex.getCurrentInstanceId());
|
||||
log.info("[instance-routing] forward {} taskId={} operation={} owner={} current={} url={}",
|
||||
method, ex.getTaskId(), ex.getOperation(), ex.getOwnerInstanceId(), ex.getCurrentInstanceId(), url);
|
||||
return forwardWithConnectRetry(method, url, headers, body, ex);
|
||||
}
|
||||
|
||||
/**
|
||||
* 转发带连接级重试。
|
||||
*
|
||||
* <p>对端实例在部署窗口(原地换 JAR + 两节点滚动重启)内会有几秒的 Connection refused。
|
||||
* 连接都没建立起来说明请求没到达对端,此时重放是安全的;而读超时不重试——对端可能
|
||||
* 已经在处理,盲目重放会造成重复提交。线上由此丢过用户提交的结果。
|
||||
*/
|
||||
private ResponseEntity<byte[]> forwardWithConnectRetry(HttpMethod method, String url,
|
||||
HttpHeaders headers, byte[] body,
|
||||
TaskOwnerMismatchException ex) {
|
||||
RuntimeException lastError = null;
|
||||
for (int attempt = 1; attempt <= CONNECT_RETRY_TIMES; attempt++) {
|
||||
try {
|
||||
return restClient().method(method)
|
||||
.uri(url)
|
||||
.headers(target -> target.addAll(headers))
|
||||
.body(body)
|
||||
.retrieve()
|
||||
.toEntity(byte[].class);
|
||||
} catch (ResourceAccessException accessError) {
|
||||
if (!isConnectFailure(accessError)) {
|
||||
throw accessError;
|
||||
}
|
||||
lastError = accessError;
|
||||
log.warn("[instance-routing] 转发连接失败,第 {}/{} 次 url={} taskId={} 原因={}",
|
||||
attempt, CONNECT_RETRY_TIMES, url, ex.getTaskId(), accessError.getMessage());
|
||||
if (attempt < CONNECT_RETRY_TIMES) {
|
||||
sleepQuietly(CONNECT_RETRY_BACKOFF_MILLIS * attempt);
|
||||
}
|
||||
}
|
||||
}
|
||||
throw lastError;
|
||||
}
|
||||
|
||||
private static boolean isConnectFailure(Throwable error) {
|
||||
Throwable cursor = error;
|
||||
while (cursor != null) {
|
||||
if (cursor instanceof ConnectException) {
|
||||
return true;
|
||||
}
|
||||
cursor = cursor.getCause();
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
private static void sleepQuietly(long millis) {
|
||||
try {
|
||||
Thread.sleep(millis);
|
||||
} catch (InterruptedException interrupted) {
|
||||
Thread.currentThread().interrupt();
|
||||
}
|
||||
}
|
||||
|
||||
private String resolveUrl(TaskOwnerMismatchException ex, String path) {
|
||||
|
||||
@@ -4,6 +4,7 @@ import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import com.nanri.aiimage.common.api.ApiResponse;
|
||||
import com.nanri.aiimage.common.exception.BusinessException;
|
||||
import com.nanri.aiimage.common.security.AdminAuthSupport;
|
||||
import com.nanri.aiimage.common.security.DeviceSessionPolicy;
|
||||
import jakarta.servlet.FilterChain;
|
||||
import jakarta.servlet.ServletException;
|
||||
import jakarta.servlet.http.HttpServletRequest;
|
||||
@@ -153,7 +154,14 @@ public class AdminApiGuardFilter extends OncePerRequestFilter {
|
||||
ApiResponse<Void> body = ex.getCode() == null
|
||||
? ApiResponse.fail(ex.getMessage())
|
||||
: ApiResponse.fail(ex.getCode(), ex.getMessage());
|
||||
// 401(登录已过期)与被顶下线是前端定时轮询(/api/notifications/summary、/api/user-secrets 等)
|
||||
// 的常态:线上单节点一天近 3000 条,会把真实业务错误淹没。与 GlobalExceptionHandler
|
||||
// 的 isRoutineAuthNoise 同一口径降为 debug。
|
||||
if (isRoutineAuthNoise(ex.getCode())) {
|
||||
log.debug("[admin-guard] {} {} rejected: {}", request.getMethod(), request.getRequestURI(), ex.getMessage());
|
||||
} else {
|
||||
log.warn("[admin-guard] {} {} rejected: {}", request.getMethod(), request.getRequestURI(), ex.getMessage());
|
||||
}
|
||||
response.setStatus(HttpServletResponse.SC_OK);
|
||||
response.setContentType("application/json;charset=UTF-8");
|
||||
response.getWriter().write(objectMapper.writeValueAsString(body));
|
||||
@@ -168,6 +176,12 @@ public class AdminApiGuardFilter extends OncePerRequestFilter {
|
||||
chain.doFilter(request, response);
|
||||
}
|
||||
|
||||
/** 登录态过期 / 被其他设备顶下线:前端轮询的常态噪声,不占 WARN。 */
|
||||
private static boolean isRoutineAuthNoise(Integer code) {
|
||||
return Integer.valueOf(401).equals(code)
|
||||
|| Integer.valueOf(DeviceSessionPolicy.CODE_KICKED).equals(code);
|
||||
}
|
||||
|
||||
/** 命中受保护前缀(/api/admin、/debug、自助接口、用户态工具前缀及其子路径)才进入鉴权,其余请求直接放行。 */
|
||||
private boolean isGuarded(String uri) {
|
||||
if (matchesPrefix(uri, ADMIN_API_PREFIX) || matchesPrefix(uri, DEBUG_PREFIX)) {
|
||||
|
||||
@@ -23,6 +23,14 @@ public class BrandCheckProperties {
|
||||
* 10 次尝试合计约 45s,既能覆盖限流窗口又不会让单个品牌长时间占住查询线程。
|
||||
*/
|
||||
private int retryMaxIntervalMillis = 10000;
|
||||
/**
|
||||
* 一次批量检查的总耗时上限(毫秒):整批用尽后不再重试,剩余品牌按「查询失败」收尾。
|
||||
* 上限的意义不是省时间,而是给「分片回传」这类同步调用方一个时延上界——上游卡死时
|
||||
* 单品牌 10 次重试曾把一次回传拖到 103.5 秒(taskId 28599),客户端重试预算耗尽后
|
||||
* 中止了整个采集。首轮请求始终执行,故上游只是略慢时不会误降级。
|
||||
* 设为 0 或负数表示不限制。
|
||||
*/
|
||||
private int totalTimeoutMillis = 90000;
|
||||
private int connectTimeoutMillis = 10000;
|
||||
private int readTimeoutMillis = 60000;
|
||||
}
|
||||
|
||||
@@ -0,0 +1,38 @@
|
||||
package com.nanri.aiimage.config;
|
||||
|
||||
import lombok.Data;
|
||||
import org.springframework.boot.context.properties.ConfigurationProperties;
|
||||
|
||||
/**
|
||||
* 设备日志对象存储配置:指向主机B 独立部署的 MinIO 实例(非业务 MinIO)。
|
||||
*
|
||||
* <p>日志体积大、只保留 7 天,独立实例便于单独设生命周期规则与容量管理,
|
||||
* 不挤占业务桶(nanri-ai-images 等)。endpoint 为空时上报接口直接失败,
|
||||
* 不做静默回退(避免日志悄悄落到其他存储上而无人知情)。
|
||||
*/
|
||||
@Data
|
||||
@ConfigurationProperties(prefix = "aiimage.device-log-oss")
|
||||
public class DeviceLogOssProperties {
|
||||
|
||||
private String endpoint;
|
||||
private String accessKeyId;
|
||||
private String accessKeySecret;
|
||||
private String bucket;
|
||||
|
||||
/**
|
||||
* 日志保留天数:查询侧按此过滤(早于今天的 N-1 天不展示),
|
||||
* 对象过期由 MinIO 桶生命周期规则在部署时同步设置(两侧口径保持一致)。
|
||||
*/
|
||||
private Integer retentionDays;
|
||||
|
||||
public boolean configured() {
|
||||
return endpoint != null && !endpoint.isBlank()
|
||||
&& accessKeyId != null && !accessKeyId.isBlank()
|
||||
&& accessKeySecret != null && !accessKeySecret.isBlank()
|
||||
&& bucket != null && !bucket.isBlank();
|
||||
}
|
||||
|
||||
public int retentionDaysOrDefault() {
|
||||
return retentionDays == null || retentionDays < 1 ? 7 : retentionDays;
|
||||
}
|
||||
}
|
||||
@@ -67,4 +67,12 @@ public class NotificationProperties {
|
||||
|
||||
/** 已读通知保留天数(超期自动清理),默认 90 天。 */
|
||||
private int readRetentionDays = 90;
|
||||
|
||||
/**
|
||||
* 未读通知保留天数,默认 180 天(比已读长一倍)。
|
||||
*
|
||||
* <p>未读通知此前永不清理:不看铃铛的用户会无限累积。保留期给得更宽,
|
||||
* 是因为未读意味着"用户可能还没看到",但也不能永远留着。
|
||||
*/
|
||||
private int unreadRetentionDays = 180;
|
||||
}
|
||||
|
||||
@@ -4,6 +4,6 @@ import org.springframework.boot.context.properties.EnableConfigurationProperties
|
||||
import org.springframework.context.annotation.Configuration;
|
||||
|
||||
@Configuration
|
||||
@EnableConfigurationProperties({OssProperties.class, TransientStorageProperties.class, StorageProperties.class, BrandProgressProperties.class, DeleteBrandProgressProperties.class, BrandCheckProperties.class, ZiniaoProperties.class, ModuleCleanupProperties.class, TaskPressureProperties.class, TaskImageCacheCleanupProperties.class, AppearancePatentProperties.class, SimilarAsinProperties.class, ImageVideoProperties.class, InstanceRoutingProperties.class, CapacityPlanProperties.class, UserSecretProperties.class, NotificationProperties.class})
|
||||
@EnableConfigurationProperties({OssProperties.class, TransientStorageProperties.class, StorageProperties.class, BrandProgressProperties.class, DeleteBrandProgressProperties.class, BrandCheckProperties.class, ZiniaoProperties.class, ModuleCleanupProperties.class, TaskPressureProperties.class, TaskImageCacheCleanupProperties.class, AppearancePatentProperties.class, SimilarAsinProperties.class, ImageVideoProperties.class, InstanceRoutingProperties.class, CapacityPlanProperties.class, UserSecretProperties.class, NotificationProperties.class, DeviceLogOssProperties.class})
|
||||
public class PropertiesConfig {
|
||||
}
|
||||
|
||||
+20
-1
@@ -29,7 +29,14 @@ public class TransientStorageProperties {
|
||||
*/
|
||||
private long maxTotalConcurrentOperations = 0;
|
||||
private long acquirePermitTimeoutMillis = 2000;
|
||||
private long baseRetryDelayMillis = 500;
|
||||
/**
|
||||
* 首次重试前的基础退避。
|
||||
*
|
||||
* <p>线上高频的重试诱因是 `unexpected end of stream`——那是**立即失败**(连接被 RustFS
|
||||
* 重置后 OkHttp 读响应即报错),不是等超时,所以 500ms 基本是白等:每天上千次累计十几分钟。
|
||||
* 降到 200ms 保留退避语义(真遇到服务端过载仍会退让),又不至于让用户等太久。
|
||||
*/
|
||||
private long baseRetryDelayMillis = 200;
|
||||
private long maxRetryDelayMillis = 5000;
|
||||
private long retryJitterMillis = 250;
|
||||
private long failureWindowSeconds = 60;
|
||||
@@ -37,7 +44,19 @@ public class TransientStorageProperties {
|
||||
private long failureCooldownMillis = 10000;
|
||||
private int dispatcherMaxRequests = 56;
|
||||
private int dispatcherMaxRequestsPerHost = 56;
|
||||
/**
|
||||
* 空闲连接保留数。
|
||||
*
|
||||
* <p>2026-09-17 曾试过设 0(彻底不复用)来验证"unexpected end of stream 是复用死连接导致的"
|
||||
* 这一假设——**实测照旧失败**(新容器起来后第一次请求就中招)。至此已排除公网链路、
|
||||
* keepAlive 过长、连接复用三项;用 mc 并发压 200 个小对象也全部成功,说明服务端没问题。
|
||||
* 剩余方向指向 MinIO Java SDK / OkHttp 与 RustFS 的协议细节,故恢复默认的连接复用。
|
||||
*/
|
||||
private int connectionPoolMaxIdle = 5;
|
||||
/**
|
||||
* 空闲连接在池里的保留时长。曾由 300000 调到 30000 试图减少 unexpected end of stream,
|
||||
* 实测无改善(该现象与连接复用无关,见 {@link #connectionPoolMaxIdle} 的排查记录),故恢复原值。
|
||||
*/
|
||||
private long connectionPoolKeepAliveMillis = 300000;
|
||||
private long warnPayloadBytes = 5L * 1024 * 1024;
|
||||
private long maxPayloadBytes = 50L * 1024 * 1024;
|
||||
|
||||
@@ -22,6 +22,13 @@ public class UserSecretProperties {
|
||||
/** 单轮巡检时间预算(分钟),超时中断本轮。 */
|
||||
private int checkBudgetMinutes = 20;
|
||||
|
||||
/**
|
||||
* 检测请求使用的 LLM 模型:独立于业务任务模型(业务用 gemini-3.8-flash 等),
|
||||
* 选便宜的可用模型,只验证密钥有效性与链路连通,降低每次检测与巡检的成本。
|
||||
* 用 lite 而非 mini:mini 在中继分组下无可用渠道(503 model_not_found),实测 lite 可路由。
|
||||
*/
|
||||
private String checkModel = "doubao-seed-2-0-lite-260215";
|
||||
|
||||
/**
|
||||
* 检测出口代理提取链接(选配):配置后检测请求优先经该代理 IP 发出,
|
||||
* 代理不可用时自动回退直连;留空则全部直连。
|
||||
|
||||
+3
-1
@@ -76,8 +76,10 @@ public class AdminConsoleController {
|
||||
@Operation(summary = "当前登录管理员的可见后台菜单树")
|
||||
public ApiResponse<Map<String, Object>> currentUserMenus(HttpServletRequest request) {
|
||||
AdminUserEntity operator = adminAuthSupport.requireAdminOrInternal(request);
|
||||
// 补全祖先分组:部分授权用户(只授权了子页面)也要看到「一级分组 + 子页面」层级,
|
||||
// 与超管的菜单组织顺序一致;分组节点无页面路由,不构成权限扩展。
|
||||
List<PermissionMenuItemVo> menus = permissionMenuService.getUserColumnPermissions(
|
||||
operator, operator.getId(), PermissionMenuService.MENU_TYPE_ADMIN);
|
||||
operator, operator.getId(), PermissionMenuService.MENU_TYPE_ADMIN, true);
|
||||
menus = AdminMenuTreeBuilder.filterByMenuType(menus, PermissionMenuService.MENU_TYPE_ADMIN);
|
||||
List<Map<String, Object>> items = AdminMenuTreeBuilder.toMapList(AdminMenuTreeBuilder.build(menus));
|
||||
return ApiResponse.success(Map.of("items", items));
|
||||
|
||||
+2
@@ -16,6 +16,8 @@ public class AdminUserItemVo {
|
||||
private String creatorUsername;
|
||||
@JsonProperty("created_at")
|
||||
private String createdAt;
|
||||
@JsonProperty("updated_at")
|
||||
private String updatedAt;
|
||||
@JsonProperty("pinyin_abbr")
|
||||
private String pinyinAbbr;
|
||||
}
|
||||
|
||||
+2
@@ -338,6 +338,8 @@ public class AdminUserService {
|
||||
vo.setCreatorUsername(creatorId == null ? "" : creatorMap.getOrDefault(creatorId, ""));
|
||||
LocalDateTime createdAt = entity.getCreatedAt();
|
||||
vo.setCreatedAt(createdAt == null ? "" : createdAt.format(CREATED_AT_FORMATTER));
|
||||
LocalDateTime updatedAt = entity.getUpdatedAt();
|
||||
vo.setUpdatedAt(updatedAt == null ? "" : updatedAt.format(CREATED_AT_FORMATTER));
|
||||
vo.setPinyinAbbr(PinyinAbbrUtil.abbr(entity.getUsername()));
|
||||
return vo;
|
||||
}
|
||||
|
||||
+45
@@ -0,0 +1,45 @@
|
||||
package com.nanri.aiimage.modules.appconfig.controller;
|
||||
|
||||
import com.nanri.aiimage.common.api.ApiResponse;
|
||||
import com.nanri.aiimage.modules.appconfig.service.KdFlowService;
|
||||
import io.swagger.v3.oas.annotations.Operation;
|
||||
import io.swagger.v3.oas.annotations.tags.Tag;
|
||||
import jakarta.servlet.http.HttpServletRequest;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.web.bind.annotation.PostMapping;
|
||||
import org.springframework.web.bind.annotation.RequestBody;
|
||||
import org.springframework.web.bind.annotation.RestController;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
/**
|
||||
* 工作台「开店流程」模块访问密码校验(公开接口,密码本身就是凭据,不额外要求登录态)。
|
||||
*
|
||||
* <p>客户端只在用户点开「开店流程」分组时调用一次;返回体只给 ok 与中文提示,
|
||||
* 不回显服务端配置的密码。
|
||||
*/
|
||||
@Slf4j
|
||||
@RestController
|
||||
@RequiredArgsConstructor
|
||||
@Tag(name = "开店流程访问校验", description = "工作台「开店流程」模块访问密码的服务端校验")
|
||||
public class KdFlowController {
|
||||
|
||||
private final KdFlowService kdFlowService;
|
||||
|
||||
@PostMapping("/api/kd-flow/verify")
|
||||
@Operation(summary = "校验开店流程访问密码",
|
||||
description = "密码存 app_config.kd_flow_password;改密码只需 UPDATE 该行,客户端无需重新发布")
|
||||
public ApiResponse<Map<String, Object>> verify(@RequestBody(required = false) Map<String, String> body,
|
||||
HttpServletRequest request) {
|
||||
String input = body == null ? null : body.get("password");
|
||||
boolean ok = kdFlowService.matches(input);
|
||||
// 只记输入长度与结果,绝不回显密码本身
|
||||
log.info("[开店流程] 校验请求 remoteAddr={} 输入为空={} 结果={}",
|
||||
request.getRemoteAddr(), input == null || input.isBlank(), ok ? "通过" : "拒绝");
|
||||
if (!ok) {
|
||||
return ApiResponse.fail("密码错误");
|
||||
}
|
||||
return ApiResponse.success("验证通过", Map.of("ok", true));
|
||||
}
|
||||
}
|
||||
+9
@@ -0,0 +1,9 @@
|
||||
package com.nanri.aiimage.modules.appconfig.mapper;
|
||||
|
||||
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
|
||||
import com.nanri.aiimage.modules.appconfig.model.entity.AppConfigEntity;
|
||||
import org.apache.ibatis.annotations.Mapper;
|
||||
|
||||
@Mapper
|
||||
public interface AppConfigMapper extends BaseMapper<AppConfigEntity> {
|
||||
}
|
||||
+32
@@ -0,0 +1,32 @@
|
||||
package com.nanri.aiimage.modules.appconfig.model.entity;
|
||||
|
||||
import com.baomidou.mybatisplus.annotation.IdType;
|
||||
import com.baomidou.mybatisplus.annotation.TableId;
|
||||
import com.baomidou.mybatisplus.annotation.TableName;
|
||||
import lombok.Data;
|
||||
|
||||
import java.time.LocalDateTime;
|
||||
|
||||
/**
|
||||
* 通用应用配置(键值)。首个用途:工作台「开店流程」模块访问密码(key = kd_flow_password)。
|
||||
* <p>只放这类低价值、需要"改一行即生效"的口令,不放密钥类敏感配置。
|
||||
*/
|
||||
@Data
|
||||
@TableName("app_config")
|
||||
public class AppConfigEntity {
|
||||
|
||||
@TableId(type = IdType.AUTO)
|
||||
private Long id;
|
||||
|
||||
/** 配置键(唯一) */
|
||||
private String configKey;
|
||||
|
||||
/** 配置值 */
|
||||
private String configValue;
|
||||
|
||||
/** 说明 */
|
||||
private String remark;
|
||||
|
||||
/** 更新时间,由数据库 CURRENT_TIMESTAMP 维护 */
|
||||
private LocalDateTime updatedAt;
|
||||
}
|
||||
+48
@@ -0,0 +1,48 @@
|
||||
package com.nanri.aiimage.modules.appconfig.service;
|
||||
|
||||
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
|
||||
import com.nanri.aiimage.modules.appconfig.mapper.AppConfigMapper;
|
||||
import com.nanri.aiimage.modules.appconfig.model.entity.AppConfigEntity;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.stereotype.Service;
|
||||
|
||||
/**
|
||||
* 工作台「开店流程」模块访问密码的服务端校验。
|
||||
*
|
||||
* <p>此前密码写死在客户端源码(KD_FLOW_PASSWORD),改密码必须重新打包装包发给全部用户;
|
||||
* 改由服务端比对后,改密码只需 UPDATE app_config 一行(key = kd_flow_password)。
|
||||
*
|
||||
* <p>不缓存:调用频次极低(用户点一次分组头一次),且改密码后应立即生效。
|
||||
*/
|
||||
@Slf4j
|
||||
@Service
|
||||
@RequiredArgsConstructor
|
||||
public class KdFlowService {
|
||||
|
||||
/** app_config 中存放开店流程访问密码的键名 */
|
||||
public static final String PASSWORD_KEY = "kd_flow_password";
|
||||
|
||||
private final AppConfigMapper appConfigMapper;
|
||||
|
||||
/** 读取服务端配置的密码;未配置返回 null。 */
|
||||
public String configuredPassword() {
|
||||
AppConfigEntity row = appConfigMapper.selectOne(new LambdaQueryWrapper<AppConfigEntity>()
|
||||
.eq(AppConfigEntity::getConfigKey, PASSWORD_KEY)
|
||||
.last("LIMIT 1"));
|
||||
return row == null ? null : row.getConfigValue();
|
||||
}
|
||||
|
||||
/** 校验用户输入的密码。未配置密码时一律判失败(宁可锁死也不放行)。 */
|
||||
public boolean matches(String input) {
|
||||
String expect = configuredPassword();
|
||||
if (expect == null || expect.isBlank()) {
|
||||
log.warn("[开店流程] app_config 未配置 {},本次校验一律判失败", PASSWORD_KEY);
|
||||
return false;
|
||||
}
|
||||
String actual = input == null ? "" : input.trim();
|
||||
boolean ok = expect.equals(actual);
|
||||
log.info("[开店流程] 服务端校验 输入长度={} 结果={}", actual.length(), ok ? "通过" : "不通过");
|
||||
return ok;
|
||||
}
|
||||
}
|
||||
+105
-4
@@ -424,6 +424,53 @@ public class AppearancePatentTaskService {
|
||||
|
||||
public void submitResult(Long taskId, AppearancePatentSubmitResultRequest request) {
|
||||
submitResultLocked(taskId, request);
|
||||
// 分片补传后自动恢复终态失败的组装 job —— 走与删除品牌同一套口径,
|
||||
// 此前外观专利没有接该入口,分片补齐后只能人工重置 job(线上任务 28459 即如此)。
|
||||
maybeRecoverTerminalFailedAssemble(taskId);
|
||||
}
|
||||
|
||||
/**
|
||||
* 补传恢复:此前因分片缺失导致组装 job 重试耗尽(终态失败),客户端补传缺口后
|
||||
* 把失败的组装 job 重置为 PENDING 重新派发({@code resetTerminalFailedForRecovery} 自行补发 dispatch 事件)。
|
||||
*
|
||||
* <p>best-effort:恢复失败不得影响补传本身——分片已经落库,恢复只是让后续组装继续推进。
|
||||
* 常态(无终态失败 job)下只查两次即返回,不触发分片扫描。
|
||||
*/
|
||||
private void maybeRecoverTerminalFailedAssemble(Long taskId) {
|
||||
if (taskId == null || taskId <= 0) {
|
||||
return;
|
||||
}
|
||||
try {
|
||||
FileResultEntity result = findResultRecord(taskId);
|
||||
if (result == null) {
|
||||
return;
|
||||
}
|
||||
if (taskFileJobService.hasSuccessfulAssembleJob(taskId, MODULE_TYPE, result.getId())) {
|
||||
return;
|
||||
}
|
||||
if (!taskFileJobService.isTerminalFailedAssembleJob(taskId, MODULE_TYPE, result.getId())) {
|
||||
return;
|
||||
}
|
||||
if (!isResultSubmissionComplete(taskId)) {
|
||||
log.info("[appearance-patent] 组装 job 终态失败但分片仍未补传完整,暂不恢复 taskId={} resultId={}",
|
||||
taskId, result.getId());
|
||||
return;
|
||||
}
|
||||
log.info("[appearance-patent] 分片已补传完整,恢复终态失败的组装 job taskId={} resultId={}",
|
||||
taskId, result.getId());
|
||||
taskFileJobService.resetTerminalFailedForRecovery(taskId, MODULE_TYPE, result.getId());
|
||||
} catch (Exception ex) {
|
||||
log.warn("[appearance-patent] 补传恢复检查失败(不影响本次补传)taskId={} err={}", taskId, ex.getMessage(), ex);
|
||||
}
|
||||
}
|
||||
|
||||
/** 按 task 取结果行(不创建);不存在返回 null。 */
|
||||
private FileResultEntity findResultRecord(Long taskId) {
|
||||
List<FileResultEntity> rows = fileResultMapper.selectList(new LambdaQueryWrapper<FileResultEntity>()
|
||||
.eq(FileResultEntity::getTaskId, taskId)
|
||||
.eq(FileResultEntity::getModuleType, MODULE_TYPE)
|
||||
.last("limit 1"));
|
||||
return rows == null || rows.isEmpty() ? null : rows.getFirst();
|
||||
}
|
||||
|
||||
private void submitResultLocked(Long taskId, AppearancePatentSubmitResultRequest request) {
|
||||
@@ -1065,6 +1112,14 @@ public class AppearancePatentTaskService {
|
||||
long activeAssembleJobs = taskFileJobService.countActiveAssembleJobs(taskId, MODULE_TYPE);
|
||||
log.info("[appearance-patent] stale recovery probe taskId={} uploadComplete={} activeAssembleJobs={} persistedRows={}",
|
||||
taskId, uploadComplete, activeAssembleJobs, hasPersistedResultRows(taskId));
|
||||
// 已有「重试耗尽且已终态收尾」的 assemble job:说明恢复已经试过、缺失是永久的。
|
||||
// 再重建只会每 30 秒空转一轮,而且恢复过程刷新任务心跳会让任务永远 RUNNING
|
||||
// (线上任务 28459 实测:48 分钟里每隔 30 秒重建一次 job)。返回 false 交给
|
||||
// finalizeStaleTask 按失败收尾,用户看到明确失败而不是无限等待。
|
||||
if (taskFileJobService.hasExhaustedAssembleJob(taskId, MODULE_TYPE)) {
|
||||
log.warn("[appearance-patent] stale recovery 放弃:已有重试耗尽的 assemble job,按失败收尾 taskId={}", taskId);
|
||||
return false;
|
||||
}
|
||||
if (!hasPersistedResultRows(taskId)) {
|
||||
log.info("[appearance-patent] stale recovery aborted because no persisted rows taskId={}", taskId);
|
||||
return false;
|
||||
@@ -1215,6 +1270,7 @@ public class AppearancePatentTaskService {
|
||||
if (rows == null || rows.isEmpty()) {
|
||||
return;
|
||||
}
|
||||
String conflictDetail = "未发生冲突";
|
||||
for (int attempt = 1; attempt <= CHUNK_PAYLOAD_MERGE_RETRY_LIMIT; attempt++) {
|
||||
TaskChunkEntity chunk = taskChunkMapper.selectOne(new LambdaQueryWrapper<TaskChunkEntity>()
|
||||
.eq(TaskChunkEntity::getTaskId, taskId)
|
||||
@@ -1256,13 +1312,35 @@ public class AppearancePatentTaskService {
|
||||
transientPayloadStorageService.deleteReplacedPayloadIfNeeded(oldPayload, storedPayload);
|
||||
return;
|
||||
}
|
||||
transientPayloadStorageService.deletePayloadIfPresent(storedPayload);
|
||||
// CAS 冲突:读回行上的当前哈希,否则只有一句 conflict 无从判断是谁改的(线上 28459 至今未能定位)
|
||||
String currentHash = currentPayloadHash(chunk.getId());
|
||||
conflictDetail = "期望hash=" + oldPayloadHash + " 当前hash=" + currentHash;
|
||||
if (attempt < CHUNK_PAYLOAD_MERGE_RETRY_LIMIT) {
|
||||
log.warn("[appearance-patent] chunk payload CAS conflict, retry merge taskId={} scopeHash={} chunk={} attempt={}/{}",
|
||||
taskId, scopeHash, chunkIndex, attempt, CHUNK_PAYLOAD_MERGE_RETRY_LIMIT);
|
||||
log.warn("[appearance-patent] chunk payload CAS conflict, retry merge taskId={} scopeHash={} chunk={} attempt={}/{} 期望hash={} 当前hash={}",
|
||||
taskId, scopeHash, chunkIndex, attempt, CHUNK_PAYLOAD_MERGE_RETRY_LIMIT, oldPayloadHash, currentHash);
|
||||
// 还要重试:这次写的对象会被下次重写,先删掉避免堆积
|
||||
transientPayloadStorageService.deletePayloadIfPresent(storedPayload);
|
||||
} else {
|
||||
// 终局失败:保留这次写入的版本化对象,作为读路径「同槽位兄弟对象」兜底的恢复源。
|
||||
// 行没指过去不该让该分片永久判死——删掉它才是线上 28459 丢数据的形态。
|
||||
log.error("[appearance-patent] chunk payload 合并冲突重试耗尽,保留兜底对象 taskId={} scopeHash={} chunk={} 期望hash={} 当前hash={} 保留对象={}",
|
||||
taskId, scopeHash, chunkIndex, oldPayloadHash, currentHash, storedPayload);
|
||||
}
|
||||
}
|
||||
throw new IllegalStateException("appearance patent chunk payload update conflict");
|
||||
throw new IllegalStateException("appearance patent chunk payload update conflict " + conflictDetail);
|
||||
}
|
||||
|
||||
/** 读回 chunk 行当前的 payload_hash,用于 CAS 冲突定位(行已不存在/读取失败时返回可读标记)。 */
|
||||
private String currentPayloadHash(Long chunkId) {
|
||||
if (chunkId == null) {
|
||||
return "chunkId 为空";
|
||||
}
|
||||
try {
|
||||
TaskChunkEntity latest = taskChunkMapper.selectById(chunkId);
|
||||
return latest == null ? "行已不存在" : latest.getPayloadHash();
|
||||
} catch (Exception ex) {
|
||||
return "读取失败:" + ex.getMessage();
|
||||
}
|
||||
}
|
||||
|
||||
private List<AppearancePatentResultRowDto> expandRows(List<AppearancePatentResultRowDto> representatives,
|
||||
@@ -2915,12 +2993,35 @@ public class AppearancePatentTaskService {
|
||||
} catch (Exception ex) {
|
||||
log.warn("[appearance-patent] read chunk payload failed taskId={} chunk={} err={}",
|
||||
chunk.getTaskId(), chunk.getChunkIndex(), ex.getMessage());
|
||||
if (isPayloadMissing(ex)) {
|
||||
// payload 对象已不在(被清理或从未写入):重试多少次都读不回来。继续抛会让
|
||||
// ASSEMBLE_RESULT job 的终态回调每轮重跑兜底组装 → 再读同一个缺失对象 → 无限循环
|
||||
// (线上任务 28459 每 10~30 秒重试一次)。跳过该分片,让任务按已有分片出部分结果,
|
||||
// 与品牌/相似ASIN「失败也产出可下载的部分结果」同一口径。
|
||||
log.warn("[appearance-patent] chunk payload 已不存在,跳过该分片(任务按已有分片出结果)"
|
||||
+ " taskId={} chunk={}", chunk.getTaskId(), chunk.getChunkIndex());
|
||||
return rows;
|
||||
}
|
||||
throw new BusinessException("appearance patent chunk payload read failed chunk="
|
||||
+ chunk.getChunkIndex() + ": " + ex.getMessage(), ex);
|
||||
}
|
||||
return rows;
|
||||
}
|
||||
|
||||
/** payload 对象已不存在(RustFS 返回 NoSuchKey:message 为 "The specified key does not exist.")。
|
||||
* 只有这种"重试也没用"的缺失才允许跳过;网络类失败仍照旧抛出以便重试。 */
|
||||
private static boolean isPayloadMissing(Throwable error) {
|
||||
Throwable cursor = error;
|
||||
while (cursor != null) {
|
||||
String message = cursor.getMessage();
|
||||
if (message != null && message.contains("does not exist")) {
|
||||
return true;
|
||||
}
|
||||
cursor = cursor.getCause();
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
private String rowKey(AppearancePatentParsedRowVo row) {
|
||||
if (row == null) {
|
||||
return "";
|
||||
|
||||
+14
-2
@@ -95,10 +95,14 @@ public class BrandCheckClient {
|
||||
|
||||
public BrandCheckBatchResult checkAll(List<String> brands, String strategy) {
|
||||
List<String> distinctBrands = distinctNonBlank(brands);
|
||||
// 整批共用一个耗时预算:上游 16890 卡死时,单品牌 10 次重试曾把一次分片回传拖到
|
||||
// 103.5 秒(taskId 28599),客户端重试预算耗尽后中止了整个采集。预算用尽即停止重试。
|
||||
long budgetMillis = properties.getTotalTimeoutMillis();
|
||||
long deadlineNanos = budgetMillis > 0L ? System.nanoTime() + budgetMillis * 1_000_000L : Long.MAX_VALUE;
|
||||
List<CompletableFuture<BrandCheckOutcome>> futures = new ArrayList<>(distinctBrands.size());
|
||||
for (String brand : distinctBrands) {
|
||||
futures.add(CompletableFuture.supplyAsync(
|
||||
() -> checkOneBrand(brand, strategy), checkExecutor));
|
||||
() -> checkOneBrand(brand, strategy, deadlineNanos), checkExecutor));
|
||||
}
|
||||
List<Object> failedData = new ArrayList<>();
|
||||
List<Object> queryFailedData = new ArrayList<>();
|
||||
@@ -110,11 +114,19 @@ public class BrandCheckClient {
|
||||
return new BrandCheckBatchResult(distinctBrands, failedData, queryFailedData);
|
||||
}
|
||||
|
||||
private BrandCheckOutcome checkOneBrand(String brand, String strategy) {
|
||||
private BrandCheckOutcome checkOneBrand(String brand, String strategy, long deadlineNanos) {
|
||||
int attempts = Math.max(1, properties.getRetryTimes());
|
||||
BrandCheckResponse response = null;
|
||||
Exception lastFailure = null;
|
||||
for (int attempt = 1; attempt <= attempts; attempt++) {
|
||||
// 预算用尽就不再重试,按查询失败收尾。只掐「重试」不打断已发出的请求,
|
||||
// 故最坏耗时 ≈ 预算 + 一次请求的读超时;首轮始终执行,避免上游只是慢一点时被误降级。
|
||||
if (attempt > 1 && System.nanoTime() >= deadlineNanos) {
|
||||
log.warn("[brand-check] 整批耗时预算用尽,停止重试 brand={} attempt={}/{} lastErr={}",
|
||||
brand, attempt, attempts,
|
||||
lastFailure == null ? "query_faild_data 持续非空" : lastFailure.getMessage());
|
||||
break;
|
||||
}
|
||||
try {
|
||||
response = check(brand, strategy);
|
||||
} catch (Exception ex) {
|
||||
|
||||
+24
@@ -3,7 +3,31 @@ package com.nanri.aiimage.modules.brand.mapper;
|
||||
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
|
||||
import com.nanri.aiimage.modules.brand.model.entity.BrandCrawlTaskEntity;
|
||||
import org.apache.ibatis.annotations.Mapper;
|
||||
import org.apache.ibatis.annotations.Param;
|
||||
import org.apache.ibatis.annotations.Select;
|
||||
|
||||
import java.time.LocalDateTime;
|
||||
import java.util.List;
|
||||
|
||||
@Mapper
|
||||
public interface BrandCrawlTaskMapper extends BaseMapper<BrandCrawlTaskEntity> {
|
||||
|
||||
/**
|
||||
* 查询超过保留期的终态品牌检测任务 id(保留期清理用,只取 id 不拉整行——历史行的
|
||||
* file_paths/result_paths JSON 字段可能很大)。
|
||||
*
|
||||
* <p>终态集合与 {@code BrandTaskService} 的状态机一致(success/failed/cancelled),
|
||||
* pending/running 绝不返回(删了正在跑的任务,结果回传会找不到任务行)。
|
||||
* 时间线用 updated_at,与 BrandTaskStaleRepairSpiImpl 的陈旧判定同款口径,
|
||||
* 可命中 V120 的 idx_brand_crawl_task_status_updated(status, updated_at) 索引。
|
||||
*/
|
||||
@Select("""
|
||||
SELECT id FROM brand_crawl_tasks
|
||||
WHERE status IN ('success', 'failed', 'cancelled')
|
||||
AND updated_at < #{cutoff}
|
||||
ORDER BY id ASC
|
||||
LIMIT #{batchSize}
|
||||
""")
|
||||
List<Long> selectExpiredTerminalTaskIds(@Param("cutoff") LocalDateTime cutoff,
|
||||
@Param("batchSize") int batchSize);
|
||||
}
|
||||
|
||||
+93
@@ -0,0 +1,93 @@
|
||||
package com.nanri.aiimage.modules.brand.service;
|
||||
|
||||
import com.nanri.aiimage.common.service.DistributedJobLockService;
|
||||
import com.nanri.aiimage.modules.brand.mapper.BrandCrawlTaskMapper;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.beans.factory.annotation.Value;
|
||||
import org.springframework.scheduling.annotation.Scheduled;
|
||||
import org.springframework.stereotype.Service;
|
||||
|
||||
import java.time.Duration;
|
||||
import java.time.LocalDateTime;
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* 品牌检测任务(brand_crawl_tasks)的保留期清理(2026-09 审核:该表只增不删,永久累积)。
|
||||
*
|
||||
* <p>该表自建、不写 biz_file_task,故不在 ModuleHistoryCleanupService 的清理名单里,
|
||||
* 此前没有任何删除路径。这里只查过期终态任务的 id,逐个走
|
||||
* {@link BrandTaskService#deleteTask(Long)} 既有删除入口 —— 它已处理任务行删除 +
|
||||
* 存储数据清理(brandTaskStorageService.deleteTaskData)+ 进度缓存清理,本类不重新实现删除逻辑。
|
||||
*
|
||||
* <p>双节点用 job 锁保证单实例执行;每批小批量(默认 50)逐个删,避免单次跑太久占住锁。
|
||||
*/
|
||||
@Service
|
||||
@RequiredArgsConstructor
|
||||
@Slf4j
|
||||
public class BrandTaskRetentionService {
|
||||
|
||||
/** 单轮最多处理的批次数(每批 batchSize 个任务),剩余留给下一轮。 */
|
||||
static final int MAX_BATCHES_PER_RUN = 20;
|
||||
|
||||
private final BrandCrawlTaskMapper brandCrawlTaskMapper;
|
||||
private final BrandTaskService brandTaskService;
|
||||
private final DistributedJobLockService distributedJobLockService;
|
||||
|
||||
@Value("${aiimage.brand.task-retention-days:90}")
|
||||
private int retentionDays = 90;
|
||||
|
||||
@Value("${aiimage.brand.task-retention-batch-size:50}")
|
||||
private int retentionBatchSize = 50;
|
||||
|
||||
@Scheduled(cron = "${aiimage.brand.task-retention-cron:0 45 4 * * *}")
|
||||
public void purgeExpiredTasks() {
|
||||
int days = Math.max(1, retentionDays);
|
||||
int batchSize = Math.max(1, retentionBatchSize);
|
||||
LocalDateTime cutoff = LocalDateTime.now().minusDays(days);
|
||||
|
||||
// 单轮 20 批 × 50 个任务的删除(含存储数据清理)可能跑较久,锁 TTL 给足 30 分钟
|
||||
DistributedJobLockService.LockHandle lockHandle =
|
||||
distributedJobLockService.tryLock("brand:task-retention", Duration.ofMinutes(30));
|
||||
if (lockHandle == null) {
|
||||
log.info("[brand-retention] 任务保留清理跳过:另一实例持锁");
|
||||
return;
|
||||
}
|
||||
try (lockHandle) {
|
||||
int totalDeleted = 0;
|
||||
int totalFailed = 0;
|
||||
int batches = 0;
|
||||
while (batches < MAX_BATCHES_PER_RUN) {
|
||||
// 只取 id:历史行的 file_paths/result_paths JSON 字段可能很大
|
||||
List<Long> taskIds = brandCrawlTaskMapper.selectExpiredTerminalTaskIds(cutoff, batchSize);
|
||||
if (taskIds.isEmpty()) {
|
||||
break;
|
||||
}
|
||||
batches++;
|
||||
int deletedInBatch = 0;
|
||||
for (Long taskId : taskIds) {
|
||||
try {
|
||||
brandTaskService.deleteTask(taskId);
|
||||
deletedInBatch++;
|
||||
} catch (Exception ex) {
|
||||
// 单个任务删除失败只记日志继续:一个坏任务不能卡住整轮
|
||||
log.warn("[brand-retention] 任务删除失败 taskId={} msg={}", taskId, ex.getMessage(), ex);
|
||||
}
|
||||
}
|
||||
totalDeleted += deletedInBatch;
|
||||
totalFailed += taskIds.size() - deletedInBatch;
|
||||
if (deletedInBatch == 0) {
|
||||
log.warn("[brand-retention] 整批任务均删除失败,提前结束本轮以免反复重试同一批");
|
||||
break;
|
||||
}
|
||||
if (taskIds.size() < batchSize) {
|
||||
break;
|
||||
}
|
||||
}
|
||||
log.info("[brand-retention] 任务保留清理完成 cutoff={} retentionDays={} deleted={} failed={} batches={}",
|
||||
cutoff, days, totalDeleted, totalFailed, batches);
|
||||
} catch (Exception ex) {
|
||||
log.warn("[brand-retention] 任务保留清理失败 cutoff={} msg={}", cutoff, ex.getMessage(), ex);
|
||||
}
|
||||
}
|
||||
}
|
||||
+79
-36
@@ -782,6 +782,39 @@ public class CollectDataService {
|
||||
throw new BusinessException("request is empty");
|
||||
}
|
||||
ensureRustfsPayloadStorageEnabled();
|
||||
|
||||
// 锁外预检:任务不存在/已结束时立即失败,不为终态任务白跑去重查询与品牌检测。
|
||||
// 只做快速失败,并发正确性仍由锁内的重读复核保证。
|
||||
FileTaskEntity probe = fileTaskMapper.selectById(taskId);
|
||||
if (probe == null || !MODULE_TYPE.equals(probe.getModuleType())) {
|
||||
throw new BusinessException("任务不存在");
|
||||
}
|
||||
if (STATUS_SUCCESS.equals(probe.getStatus()) || STATUS_FAILED.equals(probe.getStatus())) {
|
||||
log.warn("[collect-data] 任务已结束,拒绝重复提交 taskId={} status={}", taskId, probe.getStatus());
|
||||
throw new BusinessException(40901, "任务已结束,拒绝重复提交");
|
||||
}
|
||||
|
||||
// 归一化 / 去重过滤 / 品牌检测放在锁外:品牌检测是同步远程调用,上游 16890 抖动时
|
||||
// 单品牌 10 次重试合计上百秒(taskId 28599 实测:chunk 回传在锁内等品牌检测 103.5 秒,
|
||||
// 期间心跳与客户端重试全部撞 40902 拿不到锁,客户端 5 次重试预算耗尽后中止整个采集)。
|
||||
// 这几步只依赖本批入参、不写任务状态,放锁外不改变 chunk 落库的串行语义。
|
||||
List<CollectDataResultRowVo> rows = normalizeSubmitRows(request.getItems());
|
||||
buildParseLimits().validateChunkRowCount(rows.size());
|
||||
// 「结果文件」sheet 需要 Python 回传的全量数据(不经任何后端过滤),
|
||||
// 因此 chunk payload 写入未筛除空 ASIN 的全量 rows;
|
||||
// 仅当 ASIN 非空时才进入去重 / 无效品牌 / 品牌检测链路并落 biz_task_result_item。
|
||||
List<CollectDataResultRowVo> rowsForFiltering = new ArrayList<>(rows.size());
|
||||
for (CollectDataResultRowVo row : rows) {
|
||||
if (row.getAsin() != null && !row.getAsin().isBlank()) {
|
||||
rowsForFiltering.add(row);
|
||||
}
|
||||
}
|
||||
long prepareStartAt = System.currentTimeMillis();
|
||||
CollectDataBatchQuery.FilterResult filtered = collectDataBatchQuery.filter(rowsForFiltering);
|
||||
CollectDataBrandBatchFilter.BrandBatchOutcome brandOutcome = brandBatchFilter.filter(filtered.kept());
|
||||
log.info("[collect-data] 锁外预处理完成 taskId={} rows={} 去重后={} 品牌检测耗时={}ms",
|
||||
taskId, rows.size(), filtered.kept().size(), System.currentTimeMillis() - prepareStartAt);
|
||||
|
||||
try (TaskDistributedLockService.LockHandle ignored = acquireTaskLockOrThrow(taskId)) {
|
||||
FileTaskEntity task = fileTaskMapper.selectById(taskId);
|
||||
if (task == null || !MODULE_TYPE.equals(task.getModuleType())) {
|
||||
@@ -819,25 +852,23 @@ public class CollectDataService {
|
||||
return buildSubmitVo(task, result, chunkIndex, chunkTotal, request, 0);
|
||||
}
|
||||
|
||||
List<CollectDataResultRowVo> rows = normalizeSubmitRows(request.getItems());
|
||||
buildParseLimits().validateChunkRowCount(rows.size());
|
||||
CollectDataStats stats = loadStats(task);
|
||||
stats.receivedRows += rows.size();
|
||||
stats.currentChunkRows = rows.size();
|
||||
|
||||
// 「结果文件」sheet 需要 Python 回传的全量数据(不经任何后端过滤),
|
||||
// 因此 chunk payload 写入未筛除空 ASIN 的全量 rows;
|
||||
// 仅当 ASIN 非空时才进入去重 / 无效品牌 / 品牌检测链路并落 biz_task_result_item。
|
||||
List<CollectDataResultRowVo> rowsForFiltering = new ArrayList<>(rows.size());
|
||||
for (CollectDataResultRowVo row : rows) {
|
||||
if (row.getAsin() != null && !row.getAsin().isBlank()) {
|
||||
rowsForFiltering.add(row);
|
||||
}
|
||||
}
|
||||
CollectDataBatchQuery.FilterResult filtered = collectDataBatchQuery.filter(rowsForFiltering);
|
||||
stats.dedupeFilteredCount += filtered.dedupeFilteredCount();
|
||||
stats.invalidFilteredCount += filtered.invalidFilteredCount();
|
||||
List<CollectDataResultRowVo> accepted = filterByBrandCheck(filtered.kept(), stats);
|
||||
stats.brandRejectedCount += brandOutcome.rejected().size();
|
||||
stats.brandQueryFailedCount += brandOutcome.queryFailed().size();
|
||||
// 只有被服务端判定为无效品牌(rejected)的行才写入无效品牌表;
|
||||
// queryFailed 是品牌检测服务端到端失败(如缺 X-Token 422/超时/限流),
|
||||
// 一并写入会把故障期间被误伤的品牌永久拉黑,后续同品牌商品全部被
|
||||
// invalidFiltered 过滤(task-27265 实测:通过 Python 过滤的 21 行中
|
||||
// 8 行查询失败被写表后误杀,最终结果 Excel 0 行)。rejected 为空时
|
||||
// 不触发任何写入,避免空批次无意义调用。
|
||||
if (!brandOutcome.rejected().isEmpty()) {
|
||||
invalidAsinBatchWriter.writeBatch(brandOutcome.rejected());
|
||||
}
|
||||
List<CollectDataResultRowVo> accepted = brandOutcome.accepted();
|
||||
// 结果明细改为 chunk 级存储:整个 chunk 的 accepted 行共享一个
|
||||
// RustFS 对象(deterministic key,同 chunk 重提覆盖同一对象),
|
||||
// biz_task_result_item.payload_json 只存 {chunk, offset, payload} 引用。
|
||||
@@ -872,6 +903,14 @@ public class CollectDataService {
|
||||
|
||||
if (request.getError() != null && !request.getError().isBlank()) {
|
||||
markTaskFailed(task, result, request.getError(), stats);
|
||||
// 失败但已收到分片:照常组装结果文件,让用户能下载已采集的数据。
|
||||
// 此前失败分支只标失败不组装,已落库的数据也没有任何结果文件可下载
|
||||
// (taskId 28599:55 个分片全部收到、187 行明细已落库,用户却拿不到文件)。
|
||||
if (hasReceivedChunks(taskId)) {
|
||||
enqueueFinalWorkbook(task, result, stats);
|
||||
log.warn("[collect-data] 任务失败仍组装部分结果 taskId={} error={} finalRows={}",
|
||||
taskId, request.getError(), stats.finalRowCount);
|
||||
}
|
||||
} else if (Boolean.TRUE.equals(request.getDone())) {
|
||||
enqueueFinalWorkbook(task, result, stats);
|
||||
} else {
|
||||
@@ -933,22 +972,6 @@ public class CollectDataService {
|
||||
return rows;
|
||||
}
|
||||
|
||||
private List<CollectDataResultRowVo> filterByBrandCheck(List<CollectDataResultRowVo> rows, CollectDataStats stats) {
|
||||
CollectDataBrandBatchFilter.BrandBatchOutcome outcome = brandBatchFilter.filter(rows);
|
||||
stats.brandRejectedCount += outcome.rejected().size();
|
||||
stats.brandQueryFailedCount += outcome.queryFailed().size();
|
||||
// 只有被服务端判定为无效品牌(rejected)的行才写入无效品牌表;
|
||||
// queryFailed 是品牌检测服务端到端失败(如缺 X-Token 422/超时/限流),
|
||||
// 一并写入会把故障期间被误伤的品牌永久拉黑,后续同品牌商品全部被
|
||||
// invalidFiltered 过滤(task-27265 实测:通过 Python 过滤的 21 行中
|
||||
// 8 行查询失败被写表后误杀,最终结果 Excel 0 行)。rejected 为空时
|
||||
// 不触发任何写入,避免空批次无意义调用。
|
||||
if (!outcome.rejected().isEmpty()) {
|
||||
invalidAsinBatchWriter.writeBatch(outcome.rejected());
|
||||
}
|
||||
return outcome.accepted();
|
||||
}
|
||||
|
||||
private void persistChunk(Long taskId,
|
||||
String scopeKey,
|
||||
String scopeHash,
|
||||
@@ -1011,7 +1034,8 @@ public class CollectDataService {
|
||||
result.setResultFileSize(0L);
|
||||
result.setResultContentType(CONTENT_TYPE_XLSX);
|
||||
result.setRowCount(stats.finalRowCount);
|
||||
result.setErrorMessage(null);
|
||||
// 不清 errorMessage:失败任务的部分结果组装也走这里,清掉会让用户看不到真实失败原因
|
||||
// (成功路径的 errorMessage 本来就为 null,无需清理)。
|
||||
fileResultMapper.updateById(result);
|
||||
task.setUpdatedAt(LocalDateTime.now());
|
||||
fileTaskMapper.updateById(task);
|
||||
@@ -1060,6 +1084,22 @@ public class CollectDataService {
|
||||
stats.summaries,
|
||||
batch -> streamRawRows(task.getId(), batch));
|
||||
String objectKey = ossStorageService.uploadResultFile(xlsx, MODULE_TYPE);
|
||||
|
||||
// 复用同一份 stats 更新 finalRowCount 后再持久化,避免重复 loadStats 丢失 summaries。
|
||||
stats.finalRowCount = (int) finalRowCount;
|
||||
persistStats(task, stats);
|
||||
|
||||
// 失败原因先留存:下面的乐观写入会清空 result.errorMessage,任务已被判失败时要用它恢复。
|
||||
String failureReason = result.getErrorMessage();
|
||||
if (failureReason == null || failureReason.isBlank()) {
|
||||
failureReason = task.getErrorMessage();
|
||||
}
|
||||
if (failureReason == null || failureReason.isBlank()) {
|
||||
failureReason = "任务失败,结果文件为已采集的部分数据";
|
||||
}
|
||||
|
||||
// 结果行先按成功乐观写入:保持「结果文件先于任务成功落库」的时序,
|
||||
// 万一进程在这两步之间退出,任务仍是 RUNNING,会被陈旧巡检重新组装(可自愈)。
|
||||
result.setResultFilename(filename);
|
||||
result.setResultFileUrl(objectKey);
|
||||
result.setResultFileSize(xlsx.length());
|
||||
@@ -1069,10 +1109,7 @@ public class CollectDataService {
|
||||
result.setErrorMessage(null);
|
||||
fileResultMapper.updateById(result);
|
||||
|
||||
// 复用同一份 stats 更新 finalRowCount 后再持久化,避免重复 loadStats 丢失 summaries。
|
||||
stats.finalRowCount = (int) finalRowCount;
|
||||
persistStats(task, stats);
|
||||
// 条件更新:任务可能已被 /fail 标为 FAILED(客户端报错与结果文件组装并发)——
|
||||
// 条件更新:任务可能已被判失败(客户端上报失败 / 陈旧判死与结果文件组装并发)——
|
||||
// 无条件 updateById 会把 FAILED 覆盖成 SUCCESS(错误信息被清、用户看到「假成功」)。
|
||||
// 结果文件已生成,故失败态下仍保留文件,只是不覆盖状态。
|
||||
int updated = fileTaskMapper.update(null, new LambdaUpdateWrapper<FileTaskEntity>()
|
||||
@@ -1085,7 +1122,13 @@ public class CollectDataService {
|
||||
.set(FileTaskEntity::getUpdatedAt, LocalDateTime.now())
|
||||
.set(FileTaskEntity::getFinishedAt, LocalDateTime.now()));
|
||||
if (updated == 0) {
|
||||
log.warn("[collect-data] 结果文件已生成但任务已是 FAILED,保留失败态不覆盖 taskId={}", task.getId());
|
||||
// 任务已是 FAILED:结果记录改回失败语义并保留真实原因,但文件 URL 照常保留,
|
||||
// 用户看到「失败 + 原因」的同时仍能下载已采集的部分结果。
|
||||
result.setSuccess(0);
|
||||
result.setErrorMessage(failureReason);
|
||||
fileResultMapper.updateById(result);
|
||||
log.warn("[collect-data] 结果文件已生成但任务已是 FAILED,保留失败态与原因 taskId={} rows={} reason={}",
|
||||
task.getId(), finalRowCount, failureReason);
|
||||
}
|
||||
} finally {
|
||||
FileUtil.del(xlsx);
|
||||
|
||||
+9
@@ -1,6 +1,8 @@
|
||||
package com.nanri.aiimage.modules.dedupe.model.entity;
|
||||
|
||||
import com.baomidou.mybatisplus.annotation.FieldStrategy;
|
||||
import com.baomidou.mybatisplus.annotation.IdType;
|
||||
import com.baomidou.mybatisplus.annotation.TableField;
|
||||
import com.baomidou.mybatisplus.annotation.TableId;
|
||||
import com.baomidou.mybatisplus.annotation.TableName;
|
||||
import lombok.Data;
|
||||
@@ -19,5 +21,12 @@ public class DedupeTotalDataEntity {
|
||||
private Long uploaderUserId;
|
||||
private String uploaderUsername;
|
||||
private LocalDateTime createdAt;
|
||||
/**
|
||||
* 更新时间:由数据库维护(DEFAULT CURRENT_TIMESTAMP + ON UPDATE CURRENT_TIMESTAMP)。
|
||||
*
|
||||
* <p>禁止应用显式写:MySQL 在 UPDATE 语句显式给该列赋值时不会触发自动更新,
|
||||
* 而本表写回为 selectById → 改字段 → updateById(实体带着旧值),一旦写回就会冻结更新时间。
|
||||
*/
|
||||
@TableField(value = "updated_at", insertStrategy = FieldStrategy.NEVER, updateStrategy = FieldStrategy.NEVER)
|
||||
private LocalDateTime updatedAt;
|
||||
}
|
||||
|
||||
+3
@@ -32,4 +32,7 @@ public class DedupeTotalDataItemVo {
|
||||
|
||||
@Schema(description = "创建时间")
|
||||
private LocalDateTime createdAt;
|
||||
|
||||
@Schema(description = "更新时间")
|
||||
private LocalDateTime updatedAt;
|
||||
}
|
||||
|
||||
+72
-63
@@ -42,6 +42,7 @@ import java.util.concurrent.Executors;
|
||||
import java.util.concurrent.Future;
|
||||
import java.util.concurrent.Semaphore;
|
||||
import java.util.concurrent.atomic.AtomicInteger;
|
||||
import java.util.function.Supplier;
|
||||
import java.util.zip.ZipEntry;
|
||||
import java.util.zip.ZipOutputStream;
|
||||
|
||||
@@ -487,7 +488,7 @@ public class DedupeRunService {
|
||||
readResult.scannedRows = new AtomicInteger(0);
|
||||
readResult.filteredFbaRows = new AtomicInteger(0);
|
||||
|
||||
PendingMainIdGroup pendingMainIdGroup = new PendingMainIdGroup();
|
||||
IdRuleRowPicker rowPicker = new IdRuleRowPicker(keepIntegerIds, keepUnderscoreIds, keepIntegerMainIdsWhenNoSubIds);
|
||||
// 表头列索引缓存:由 onHeader 填充,数据行为空时使用
|
||||
final Map<String, Integer>[] headerIndexCache = new Map[]{Map.of()};
|
||||
|
||||
@@ -526,23 +527,16 @@ public class DedupeRunService {
|
||||
}
|
||||
Integer idColumnIndex = headerIndex.get("id");
|
||||
if (idColumnIndex == null) {
|
||||
readResult.rows.add(buildCandidateRow(rowMap, headerIndex, orderedSelectedColumns, null));
|
||||
rowPicker.addAlways(buildCandidateRow(rowMap, headerIndex, orderedSelectedColumns, null));
|
||||
return;
|
||||
}
|
||||
appendRowByIdRule(
|
||||
rowPicker.select(
|
||||
normalizeCellText(cellText(rowMap, idColumnIndex)),
|
||||
rowMap,
|
||||
headerIndex,
|
||||
orderedSelectedColumns,
|
||||
keepIntegerIds,
|
||||
keepUnderscoreIds,
|
||||
keepIntegerMainIdsWhenNoSubIds,
|
||||
pendingMainIdGroup,
|
||||
readResult.rows
|
||||
() -> buildCandidateRow(rowMap, headerIndex, orderedSelectedColumns, null)
|
||||
);
|
||||
}
|
||||
});
|
||||
pendingMainIdGroup.flush(readResult.rows);
|
||||
readResult.rows = rowPicker.resolve();
|
||||
long readNs = elapsedNs(readStartNs);
|
||||
|
||||
Set<String> candidateAsinValues = new HashSet<>();
|
||||
@@ -560,8 +554,9 @@ public class DedupeRunService {
|
||||
try (SXSSFWorkbook outputWorkbook = new SXSSFWorkbook(200)) {
|
||||
org.apache.poi.ss.usermodel.Sheet outputSheet = outputWorkbook.createSheet(WorkbookUtil.createSafeSheetName(readResult.sheetName.isBlank() ? "Sheet1" : readResult.sheetName));
|
||||
Row outputHeaderRow = outputSheet.createRow(0);
|
||||
for (int i = 0; i < selectedColumns.size(); i++) {
|
||||
outputHeaderRow.createCell(i).setCellValue(selectedColumns.get(i));
|
||||
// 表头必须与数据行同序:数据按 orderedSelectedColumns 取值,表头写 selectedColumns 会整体错列
|
||||
for (int i = 0; i < orderedSelectedColumns.size(); i++) {
|
||||
outputHeaderRow.createCell(i).setCellValue(orderedSelectedColumns.get(i));
|
||||
}
|
||||
|
||||
Set<String> writtenAsinValues = new HashSet<>();
|
||||
@@ -659,37 +654,83 @@ public class DedupeRunService {
|
||||
return new DedupeCandidateRow(selectedValues, asinValue);
|
||||
}
|
||||
|
||||
private void appendRowByIdRule(String idValue, Map<Integer, String> rowMap,
|
||||
Map<String, Integer> headerIndex, List<String> selectedColumns,
|
||||
boolean keepIntegerIds, boolean keepUnderscoreIds,
|
||||
boolean keepIntegerMainIdsWhenNoSubIds,
|
||||
PendingMainIdGroup pendingMainIdGroup,
|
||||
List<DedupeCandidateRow> rows) {
|
||||
/**
|
||||
* 按 ID 保留规则挑选输出行。
|
||||
*
|
||||
* <p>主链接行是否保留,只取决于「该主 ID 是否出现过子链接行」,与两类行在源文件中的
|
||||
* 先后顺序无关。旧实现用「暂存主链接行 + 后到的同主 ID 子链接行把它丢弃」的方式,
|
||||
* 一旦顺序是「子链接在前、主链接在后」(子行到来时暂存区尚空,无人记录该主 ID 已有
|
||||
* 子链接),主链接就会一路存活到收尾,导致同一主 ID 的主/子链接同时出现在结果里。</p>
|
||||
*/
|
||||
static final class IdRuleRowPicker {
|
||||
|
||||
private final boolean keepIntegerIds;
|
||||
private final boolean keepUnderscoreIds;
|
||||
private final boolean keepIntegerMainIdsWhenNoSubIds;
|
||||
/** 出现过子链接行的主 ID 集合,与源文件顺序无关 */
|
||||
private final Set<String> mainIdsWithSubRows = new HashSet<>();
|
||||
private final List<PickedRow> pickedRows = new ArrayList<>();
|
||||
private int subRowCount = 0;
|
||||
private int mainRowCount = 0;
|
||||
|
||||
IdRuleRowPicker(boolean keepIntegerIds, boolean keepUnderscoreIds, boolean keepIntegerMainIdsWhenNoSubIds) {
|
||||
this.keepIntegerIds = keepIntegerIds;
|
||||
this.keepUnderscoreIds = keepUnderscoreIds;
|
||||
this.keepIntegerMainIdsWhenNoSubIds = keepIntegerMainIdsWhenNoSubIds;
|
||||
}
|
||||
|
||||
/** ID 不参与保留规则判定的行(如无 id 列或 id 为空)直接保留。 */
|
||||
void addAlways(DedupeCandidateRow row) {
|
||||
pickedRows.add(new PickedRow(row, null));
|
||||
}
|
||||
|
||||
/** 按 ID 形态与保留规则挑选;rowSupplier 仅在确定保留时才求值。 */
|
||||
void select(String idValue, Supplier<DedupeCandidateRow> rowSupplier) {
|
||||
if (idValue == null || idValue.isBlank()) {
|
||||
return;
|
||||
}
|
||||
String mainId = extractMainId(idValue);
|
||||
if (pendingMainIdGroup.hasDifferentMainId(mainId)) {
|
||||
pendingMainIdGroup.flush(rows);
|
||||
}
|
||||
if (isUnderscoreId(idValue)) {
|
||||
pendingMainIdGroup.discardIfSameMainId(mainId);
|
||||
subRowCount++;
|
||||
mainIdsWithSubRows.add(mainId);
|
||||
if (keepUnderscoreIds) {
|
||||
rows.add(buildCandidateRow(rowMap, headerIndex, selectedColumns, null));
|
||||
pickedRows.add(new PickedRow(rowSupplier.get(), null));
|
||||
}
|
||||
return;
|
||||
}
|
||||
if (isIntegerId(idValue)) {
|
||||
if (keepIntegerIds) {
|
||||
rows.add(buildCandidateRow(rowMap, headerIndex, selectedColumns, null));
|
||||
pickedRows.add(new PickedRow(rowSupplier.get(), null));
|
||||
return;
|
||||
}
|
||||
if (keepIntegerMainIdsWhenNoSubIds) {
|
||||
pendingMainIdGroup.add(mainId, buildCandidateRow(rowMap, headerIndex, selectedColumns, null));
|
||||
mainRowCount++;
|
||||
pickedRows.add(new PickedRow(rowSupplier.get(), mainId));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/** 收尾统一判定:带条件的主链接行仅在该主 ID 没有子链接行时保留。 */
|
||||
List<DedupeCandidateRow> resolve() {
|
||||
List<DedupeCandidateRow> resolved = new ArrayList<>(pickedRows.size());
|
||||
int droppedMainRowCount = 0;
|
||||
for (PickedRow picked : pickedRows) {
|
||||
if (picked.conditionalMainId() != null && mainIdsWithSubRows.contains(picked.conditionalMainId())) {
|
||||
droppedMainRowCount++;
|
||||
continue;
|
||||
}
|
||||
resolved.add(picked.row());
|
||||
}
|
||||
log.info("dedupe id rules subRows={} mainRows={} mainIdsWithSubRows={} droppedMainRows={} keptRows={}",
|
||||
subRowCount, mainRowCount, mainIdsWithSubRows.size(), droppedMainRowCount, resolved.size());
|
||||
return resolved;
|
||||
}
|
||||
|
||||
/** conditionalMainId 非空表示该行是主链接行,需等收尾时看同主 ID 有无子链接行 */
|
||||
private record PickedRow(DedupeCandidateRow row, String conditionalMainId) {
|
||||
}
|
||||
}
|
||||
|
||||
private String cellText(Map<Integer, String> rowMap, Integer columnIndex) {
|
||||
if (columnIndex == null) {
|
||||
return "";
|
||||
@@ -730,7 +771,7 @@ public class DedupeRunService {
|
||||
return String.join("/", parts);
|
||||
}
|
||||
|
||||
private String extractMainId(String text) {
|
||||
static String extractMainId(String text) {
|
||||
if (text == null || text.isBlank()) {
|
||||
return "";
|
||||
}
|
||||
@@ -744,7 +785,7 @@ public class DedupeRunService {
|
||||
return "";
|
||||
}
|
||||
|
||||
private boolean isIntegerId(String text) {
|
||||
static boolean isIntegerId(String text) {
|
||||
if (text == null || text.isEmpty()) {
|
||||
return false;
|
||||
}
|
||||
@@ -756,7 +797,7 @@ public class DedupeRunService {
|
||||
return true;
|
||||
}
|
||||
|
||||
private boolean isUnderscoreId(String text) {
|
||||
static boolean isUnderscoreId(String text) {
|
||||
if (text == null || text.length() < 3) {
|
||||
return false;
|
||||
}
|
||||
@@ -952,38 +993,6 @@ public class DedupeRunService {
|
||||
private AtomicInteger filteredFbaRows;
|
||||
}
|
||||
|
||||
private record DedupeCandidateRow(List<String> selectedValues, String asinValue) {
|
||||
}
|
||||
|
||||
private static final class PendingMainIdGroup {
|
||||
private String mainId;
|
||||
private final List<DedupeCandidateRow> rows = new ArrayList<>();
|
||||
|
||||
private void add(String nextMainId, DedupeCandidateRow row) {
|
||||
if (hasDifferentMainId(nextMainId)) {
|
||||
rows.clear();
|
||||
}
|
||||
mainId = nextMainId;
|
||||
rows.add(row);
|
||||
}
|
||||
|
||||
private boolean hasDifferentMainId(String nextMainId) {
|
||||
return mainId != null && (nextMainId == null || nextMainId.isBlank() || !mainId.equals(nextMainId));
|
||||
}
|
||||
|
||||
private void discardIfSameMainId(String nextMainId) {
|
||||
if (mainId != null && mainId.equals(nextMainId)) {
|
||||
rows.clear();
|
||||
mainId = null;
|
||||
}
|
||||
}
|
||||
|
||||
private void flush(List<DedupeCandidateRow> outputRows) {
|
||||
if (!rows.isEmpty()) {
|
||||
outputRows.addAll(rows);
|
||||
rows.clear();
|
||||
}
|
||||
mainId = null;
|
||||
}
|
||||
record DedupeCandidateRow(List<String> selectedValues, String asinValue) {
|
||||
}
|
||||
}
|
||||
|
||||
+1
@@ -1398,6 +1398,7 @@ public class DedupeTotalDataService {
|
||||
vo.setUploaderUserId(entity.getUploaderUserId());
|
||||
vo.setUsername(entity.getUploaderUsername());
|
||||
vo.setCreatedAt(entity.getCreatedAt());
|
||||
vo.setUpdatedAt(entity.getUpdatedAt());
|
||||
return vo;
|
||||
}
|
||||
|
||||
|
||||
+23
-1
@@ -27,6 +27,7 @@ import com.nanri.aiimage.modules.task.model.entity.FileTaskEntity;
|
||||
import com.nanri.aiimage.modules.task.service.TaskDistributedLockService;
|
||||
import com.nanri.aiimage.modules.task.service.TaskFileJobService;
|
||||
import com.nanri.aiimage.modules.task.service.TaskHeartbeatPositionService;
|
||||
import com.nanri.aiimage.modules.task.service.TaskResumeService;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.beans.factory.annotation.Value;
|
||||
@@ -92,6 +93,8 @@ public class DeleteBrandStaleTaskService {
|
||||
private final ShopDataCrawlTaskService shopDataCrawlTaskService;
|
||||
private final TaskScopeStateMapper taskScopeStateMapper;
|
||||
private final TaskHeartbeatPositionService taskHeartbeatPositionService;
|
||||
/** 客户端中断任务的自动续跑(保留失败记录 + 重排队续跑任务,V129)。 */
|
||||
private final TaskResumeService taskResumeService;
|
||||
|
||||
@Value("${aiimage.temp-dir.retention-hours:24}")
|
||||
private long tempDirRetentionHours;
|
||||
@@ -114,13 +117,16 @@ public class DeleteBrandStaleTaskService {
|
||||
ShopMatchStaleCheckStats queryAsinStats = failStaleQueryAsinTasks();
|
||||
ShopMatchStaleCheckStats withdrawStats = failStaleWithdrawTasks();
|
||||
NoResultUploadStaleCheckStats noUploadStats = failNoResultUploadTasks();
|
||||
// 客户端重启中断的任务:除了标失败(客户端上报,用户能看到原因),还要重新排队
|
||||
// 一条 PENDING 续跑任务交给客户端兜底拉取执行,否则长任务一遇客户端更新就整个白跑
|
||||
TaskResumeService.ResumeStats resumeStats = resumeInterruptedSafely();
|
||||
for (Map.Entry<String, Runnable> delegated : delegatedStaleChecks().entrySet()) {
|
||||
runModuleStaleCheck(delegated.getKey(), delegated.getValue());
|
||||
}
|
||||
// 周期每 2 分钟一轮,各模块 summary 合并为单行,避免定期刷屏
|
||||
// 注意:每段占位符数量必须与实参一致——此前每段 5 个占位符只传 4 个参数,
|
||||
// 导致 withdraw 之后的取值整体错位、末尾 elapsedMs/thread 打成字面量
|
||||
log.info("[stale-check] summary product-risk(s={} f={} x={} p={}) price-track(s={} f={} x={} p={}) shop-match(s={} f={} x={} p={}) patrol-delete(s={} f={} x={} p={}) query-asin(s={} f={} x={} p={}) withdraw(s={} f={} x={} p={}) no-upload(c={} f={} x={}) elapsedMs={} thread={}",
|
||||
log.info("[stale-check] summary product-risk(s={} f={} x={} p={}) price-track(s={} f={} x={} p={}) shop-match(s={} f={} x={} p={}) patrol-delete(s={} f={} x={} p={}) query-asin(s={} f={} x={} p={}) withdraw(s={} f={} x={} p={}) no-upload(c={} f={} x={}) resume(s={} r={} k={} u={}) elapsedMs={} thread={}",
|
||||
stats.scannedTaskCount, stats.finalizedTaskCount, stats.failedTaskCount, stats.skippedTaskCount,
|
||||
priceTrackStats.scannedTaskCount, priceTrackStats.finalizedTaskCount, priceTrackStats.failedTaskCount, priceTrackStats.skippedTaskCount,
|
||||
shopMatchStats.scannedTaskCount, shopMatchStats.finalizedTaskCount, shopMatchStats.failedTaskCount, shopMatchStats.skippedTaskCount,
|
||||
@@ -128,11 +134,27 @@ public class DeleteBrandStaleTaskService {
|
||||
queryAsinStats.scannedTaskCount, queryAsinStats.finalizedTaskCount, queryAsinStats.failedTaskCount, queryAsinStats.skippedTaskCount,
|
||||
withdrawStats.scannedTaskCount, withdrawStats.finalizedTaskCount, withdrawStats.failedTaskCount, withdrawStats.skippedTaskCount,
|
||||
noUploadStats.scannedTaskCount, noUploadStats.failedTaskCount, noUploadStats.skippedTaskCount,
|
||||
resumeStats.scannedTaskCount, resumeStats.resumedTaskCount, resumeStats.skippedTaskCount,
|
||||
resumeStats.unsupportedTaskCount,
|
||||
System.currentTimeMillis() - startedAt,
|
||||
Thread.currentThread().getName());
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 自动续跑巡检的隔离壳:续跑失败绝不能拖垮判死主流程。
|
||||
* 判死是任务状态的兜底(不做会留下永远 RUNNING 的孤儿),优先级高于续跑;
|
||||
* 这里失败只记日志并返回空统计,2 分钟后的下一轮自然重试。
|
||||
*/
|
||||
private TaskResumeService.ResumeStats resumeInterruptedSafely() {
|
||||
try {
|
||||
return taskResumeService.resumeInterruptedTasks();
|
||||
} catch (Exception ex) {
|
||||
log.warn("[task-resume] 自动续跑巡检失败(不影响本轮判死): {}", ex.getMessage(), ex);
|
||||
return new TaskResumeService.ResumeStats();
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 委派式陈旧判死:moduleType → 处理动作。
|
||||
* {@code TaskModuleRegistry} 中 delegatedStaleCheck=true 的模块都必须在这里登记,
|
||||
|
||||
+159
@@ -0,0 +1,159 @@
|
||||
package com.nanri.aiimage.modules.devicelog.controller;
|
||||
|
||||
import com.nanri.aiimage.common.api.ApiResponse;
|
||||
import com.nanri.aiimage.common.exception.BusinessException;
|
||||
import com.nanri.aiimage.common.model.entity.AdminUserEntity;
|
||||
import com.nanri.aiimage.common.security.AdminAuthSupport;
|
||||
import com.nanri.aiimage.modules.devicelog.model.entity.DeviceLogConfigEntity;
|
||||
import com.nanri.aiimage.modules.devicelog.model.entity.DeviceLogFileEntity;
|
||||
import com.nanri.aiimage.modules.devicelog.model.vo.DeviceLogContentVo;
|
||||
import com.nanri.aiimage.modules.devicelog.model.vo.DeviceLogPageVo;
|
||||
import com.nanri.aiimage.modules.devicelog.service.DeviceLogConfigService;
|
||||
import com.nanri.aiimage.modules.devicelog.service.DeviceLogService;
|
||||
import io.swagger.v3.oas.annotations.Operation;
|
||||
import io.swagger.v3.oas.annotations.Parameter;
|
||||
import io.swagger.v3.oas.annotations.tags.Tag;
|
||||
import jakarta.servlet.http.HttpServletRequest;
|
||||
import jakarta.servlet.http.HttpServletResponse;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.format.annotation.DateTimeFormat;
|
||||
import org.springframework.web.bind.annotation.DeleteMapping;
|
||||
import org.springframework.web.bind.annotation.GetMapping;
|
||||
import org.springframework.web.bind.annotation.PathVariable;
|
||||
import org.springframework.web.bind.annotation.PutMapping;
|
||||
import org.springframework.web.bind.annotation.RequestMapping;
|
||||
import org.springframework.web.bind.annotation.RequestParam;
|
||||
import org.springframework.web.bind.annotation.RestController;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.net.URLEncoder;
|
||||
import java.nio.charset.StandardCharsets;
|
||||
import java.time.LocalDate;
|
||||
import java.util.LinkedHashMap;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
/**
|
||||
* 后台「日志管理」:桌面客户端与麦象采集机的日志浏览(仅超管)。
|
||||
* 列表/内容/下载/删除 + 采集配置(全局默认与终端覆盖)。
|
||||
*/
|
||||
@RestController
|
||||
@RequiredArgsConstructor
|
||||
@Slf4j
|
||||
@RequestMapping("/api/admin/device-logs")
|
||||
@Tag(name = "日志管理(后台)", description = "设备日志列表、内容查看、下载与采集配置(仅超管)。")
|
||||
public class AdminDeviceLogController {
|
||||
|
||||
private final DeviceLogService deviceLogService;
|
||||
private final DeviceLogConfigService deviceLogConfigService;
|
||||
private final AdminAuthSupport adminAuthSupport;
|
||||
|
||||
@GetMapping("/files")
|
||||
@Operation(summary = "日志文件分页列表",
|
||||
description = "source=client/maixiang;keyword 模糊匹配设备名/设备ID/文件名;日期为闭区间(早于保留窗口自动收紧)。")
|
||||
public ApiResponse<DeviceLogPageVo> files(
|
||||
HttpServletRequest request,
|
||||
@Parameter(description = "来源") @RequestParam(required = false) String source,
|
||||
@Parameter(description = "关键字(设备/文件名)") @RequestParam(required = false) String keyword,
|
||||
@Parameter(description = "起始日期(含)") @RequestParam(required = false)
|
||||
@DateTimeFormat(iso = DateTimeFormat.ISO.DATE) LocalDate startDate,
|
||||
@Parameter(description = "结束日期(含)") @RequestParam(required = false)
|
||||
@DateTimeFormat(iso = DateTimeFormat.ISO.DATE) LocalDate endDate,
|
||||
@RequestParam(defaultValue = "1") Long page,
|
||||
@RequestParam(defaultValue = "20") Long pageSize) {
|
||||
requireSuperAdmin(request);
|
||||
return ApiResponse.success(deviceLogService.page(source, keyword, startDate, endDate, page, pageSize));
|
||||
}
|
||||
|
||||
@GetMapping("/content")
|
||||
@Operation(summary = "查看日志尾部内容", description = "默认取最后 256KB(自最早行边界起);truncated=true 时可用更大 maxBytes 再取。")
|
||||
public ApiResponse<DeviceLogContentVo> content(
|
||||
HttpServletRequest request,
|
||||
@RequestParam Long fileId,
|
||||
@Parameter(description = "期望返回的明文字节数(16KB ~ 8MB)") @RequestParam(required = false) Long maxBytes) {
|
||||
requireSuperAdmin(request);
|
||||
return ApiResponse.success(deviceLogService.readTail(fileId, maxBytes));
|
||||
}
|
||||
|
||||
@GetMapping("/download")
|
||||
@Operation(summary = "下载完整日志(按偏移拼接解压)")
|
||||
public void download(HttpServletRequest request, HttpServletResponse response,
|
||||
@RequestParam Long fileId) throws IOException {
|
||||
requireSuperAdmin(request);
|
||||
DeviceLogFileEntity row = deviceLogService.requireFile(fileId);
|
||||
String downloadName = row.getFileName().replace('/', '_').replace('\\', '_');
|
||||
response.setContentType("text/plain;charset=UTF-8");
|
||||
response.setHeader("Content-Disposition", "attachment; filename*=UTF-8''"
|
||||
+ URLEncoder.encode(downloadName, StandardCharsets.UTF_8).replace("+", "%20"));
|
||||
deviceLogService.streamDownload(fileId, response.getOutputStream());
|
||||
}
|
||||
|
||||
@DeleteMapping("/{id}")
|
||||
@Operation(summary = "删除日志文件(片段与元数据,不可恢复)")
|
||||
public ApiResponse<Map<String, Object>> delete(HttpServletRequest request,
|
||||
@PathVariable Long id) {
|
||||
requireSuperAdmin(request);
|
||||
int deletedParts = deviceLogService.deleteFile(id);
|
||||
return ApiResponse.success("已删除", Map.of("deletedParts", deletedParts));
|
||||
}
|
||||
|
||||
@GetMapping("/config")
|
||||
@Operation(summary = "采集配置:全局默认 + 终端覆盖列表")
|
||||
public ApiResponse<Map<String, Object>> config(HttpServletRequest request,
|
||||
@RequestParam(required = false) String keyword) {
|
||||
requireSuperAdmin(request);
|
||||
Map<String, Object> data = new LinkedHashMap<>();
|
||||
data.put("globalMode", deviceLogConfigService.globalMode());
|
||||
List<DeviceLogConfigEntity> overrides = deviceLogConfigService.listOverrides(keyword);
|
||||
data.put("overrides", overrides);
|
||||
return ApiResponse.success(data);
|
||||
}
|
||||
|
||||
@GetMapping("/devices")
|
||||
@Operation(summary = "最近上报的终端列表(覆盖选择用)")
|
||||
public ApiResponse<List<Map<String, Object>>> devices(HttpServletRequest request) {
|
||||
requireSuperAdmin(request);
|
||||
return ApiResponse.success(deviceLogService.recentDevices());
|
||||
}
|
||||
|
||||
@PutMapping("/config/global")
|
||||
@Operation(summary = "设置全局采集模式", description = "mode=full(全量)/ selected(精选)")
|
||||
public ApiResponse<Map<String, Object>> updateGlobal(HttpServletRequest request,
|
||||
@RequestParam String mode) {
|
||||
requireSuperAdmin(request);
|
||||
deviceLogConfigService.setGlobalMode(mode);
|
||||
return ApiResponse.success(Map.of("globalMode", deviceLogConfigService.globalMode()));
|
||||
}
|
||||
|
||||
@PutMapping("/config/device")
|
||||
@Operation(summary = "设置/更新终端采集模式覆盖")
|
||||
public ApiResponse<Map<String, Object>> updateDevice(HttpServletRequest request,
|
||||
@RequestParam String source,
|
||||
@RequestParam String deviceId,
|
||||
@RequestParam(required = false) String deviceName,
|
||||
@RequestParam String mode) {
|
||||
requireSuperAdmin(request);
|
||||
DeviceLogConfigEntity row = deviceLogConfigService.upsertOverride(source, deviceId, deviceName, mode);
|
||||
return ApiResponse.success(Map.of("id", row.getId()));
|
||||
}
|
||||
|
||||
@DeleteMapping("/config/device/{id}")
|
||||
@Operation(summary = "删除终端覆盖(回落到全局默认)")
|
||||
public ApiResponse<Boolean> deleteOverride(HttpServletRequest request, @PathVariable Long id) {
|
||||
requireSuperAdmin(request);
|
||||
return ApiResponse.success("已删除", deviceLogConfigService.deleteOverride(id));
|
||||
}
|
||||
|
||||
/**
|
||||
* 日志可能含账号/代理等敏感信息,这里比常规后台更严:仅超管(requireAdmin 不含)。
|
||||
*/
|
||||
private void requireSuperAdmin(HttpServletRequest request) {
|
||||
AdminUserEntity user = adminAuthSupport.requireAdmin(request);
|
||||
if (!"super_admin".equals(adminAuthSupport.currentRole(user))) {
|
||||
log.warn("[device-log] 非超管访问日志管理被拒 userId={} username={}",
|
||||
user.getId(), user.getUsername());
|
||||
throw new BusinessException(403, "仅超级管理员可访问日志管理");
|
||||
}
|
||||
}
|
||||
}
|
||||
+102
@@ -0,0 +1,102 @@
|
||||
package com.nanri.aiimage.modules.devicelog.controller;
|
||||
|
||||
import com.nanri.aiimage.common.api.ApiResponse;
|
||||
import com.nanri.aiimage.common.exception.BusinessException;
|
||||
import com.nanri.aiimage.common.security.AdminAuthSupport;
|
||||
import com.nanri.aiimage.modules.devicelog.service.DeviceLogConfigService;
|
||||
import com.nanri.aiimage.modules.devicelog.service.DeviceLogService;
|
||||
import io.swagger.v3.oas.annotations.Operation;
|
||||
import io.swagger.v3.oas.annotations.tags.Tag;
|
||||
import jakarta.servlet.http.HttpServletRequest;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.format.annotation.DateTimeFormat;
|
||||
import org.springframework.web.bind.annotation.GetMapping;
|
||||
import org.springframework.web.bind.annotation.PostMapping;
|
||||
import org.springframework.web.bind.annotation.RequestMapping;
|
||||
import org.springframework.web.bind.annotation.RequestParam;
|
||||
import org.springframework.web.bind.annotation.RestController;
|
||||
import org.springframework.web.multipart.MultipartFile;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.time.LocalDate;
|
||||
import java.util.LinkedHashMap;
|
||||
import java.util.Map;
|
||||
|
||||
/**
|
||||
* 设备日志上报(桌面客户端 / 麦象采集机):增量片段上传、进度对齐、采集配置拉取。
|
||||
* 仅内部令牌(X-Internal-Token)可调。
|
||||
*/
|
||||
@RestController
|
||||
@RequiredArgsConstructor
|
||||
@Slf4j
|
||||
@RequestMapping("/api/internal/device-logs")
|
||||
@Tag(name = "内部接口", description = "服务间调用(X-Internal-Token 鉴权)。")
|
||||
public class InternalDeviceLogController {
|
||||
|
||||
private final DeviceLogService deviceLogService;
|
||||
private final DeviceLogConfigService deviceLogConfigService;
|
||||
private final AdminAuthSupport adminAuthSupport;
|
||||
|
||||
@PostMapping("/upload")
|
||||
@Operation(summary = "上报日志增量片段",
|
||||
description = "multipart:元数据字段 + file(gzip 片段)。offset 必须等于服务端已收字节数;"
|
||||
+ "重复片段幂等跳过(skipped=true);偏移不连续返回 code=409,调用方应从 uploadedBytes 重读。")
|
||||
public ApiResponse<Map<String, Object>> upload(
|
||||
HttpServletRequest request,
|
||||
@RequestParam("source") String source,
|
||||
@RequestParam("deviceId") String deviceId,
|
||||
@RequestParam(value = "deviceName", required = false) String deviceName,
|
||||
@RequestParam(value = "uid", required = false) Long uid,
|
||||
@RequestParam("fileName") String fileName,
|
||||
@RequestParam("logDate") @DateTimeFormat(iso = DateTimeFormat.ISO.DATE) LocalDate logDate,
|
||||
@RequestParam("offset") long offset,
|
||||
@RequestParam("plainBytes") long plainBytes,
|
||||
@RequestParam("file") MultipartFile file) throws IOException {
|
||||
requireInternal(request, "日志上报");
|
||||
if (file == null || file.isEmpty()) {
|
||||
return ApiResponse.fail("file 片段为空");
|
||||
}
|
||||
DeviceLogService.PartResult result = deviceLogService.recordPart(source, deviceId, deviceName, uid,
|
||||
fileName, logDate, offset, plainBytes, file.getBytes());
|
||||
Map<String, Object> data = new LinkedHashMap<>();
|
||||
data.put("uploadedBytes", result.uploadedBytes());
|
||||
data.put("partCount", result.partCount());
|
||||
data.put("accepted", result.accepted());
|
||||
data.put("skipped", result.skipped());
|
||||
return ApiResponse.success(data);
|
||||
}
|
||||
|
||||
@GetMapping("/state")
|
||||
@Operation(summary = "查询某文件服务端已收进度", description = "客户端本地进度丢失/被拒后从此对齐。")
|
||||
public ApiResponse<Map<String, Object>> state(
|
||||
HttpServletRequest request,
|
||||
@RequestParam("source") String source,
|
||||
@RequestParam("deviceId") String deviceId,
|
||||
@RequestParam("fileName") String fileName,
|
||||
@RequestParam("logDate") @DateTimeFormat(iso = DateTimeFormat.ISO.DATE) LocalDate logDate) {
|
||||
requireInternal(request, "进度查询");
|
||||
return ApiResponse.success(deviceLogService.state(source, deviceId, fileName, logDate));
|
||||
}
|
||||
|
||||
@GetMapping("/config")
|
||||
@Operation(summary = "拉取生效的采集配置", description = "终端覆盖 > 全局默认;返回 mode 与精选模式排除清单(glob)。")
|
||||
public ApiResponse<Map<String, Object>> config(
|
||||
HttpServletRequest request,
|
||||
@RequestParam("source") String source,
|
||||
@RequestParam("deviceId") String deviceId) {
|
||||
requireInternal(request, "配置拉取");
|
||||
DeviceLogConfigService.EffectiveConfig config = deviceLogConfigService.resolve(source, deviceId);
|
||||
Map<String, Object> data = new LinkedHashMap<>();
|
||||
data.put("mode", config.mode());
|
||||
data.put("exclude", config.exclude());
|
||||
return ApiResponse.success(data);
|
||||
}
|
||||
|
||||
private void requireInternal(HttpServletRequest request, String scene) {
|
||||
if (!adminAuthSupport.isTrustedInternalToken(request)) {
|
||||
log.warn("[device-log] 拒绝未携带可信内部令牌的{}请求 remoteAddr={}", scene, request.getRemoteAddr());
|
||||
throw new BusinessException(401, "未授权");
|
||||
}
|
||||
}
|
||||
}
|
||||
+9
@@ -0,0 +1,9 @@
|
||||
package com.nanri.aiimage.modules.devicelog.mapper;
|
||||
|
||||
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
|
||||
import com.nanri.aiimage.modules.devicelog.model.entity.DeviceLogConfigEntity;
|
||||
import org.apache.ibatis.annotations.Mapper;
|
||||
|
||||
@Mapper
|
||||
public interface DeviceLogConfigMapper extends BaseMapper<DeviceLogConfigEntity> {
|
||||
}
|
||||
+26
@@ -0,0 +1,26 @@
|
||||
package com.nanri.aiimage.modules.devicelog.mapper;
|
||||
|
||||
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
|
||||
import com.nanri.aiimage.modules.devicelog.model.entity.DeviceLogFileEntity;
|
||||
import org.apache.ibatis.annotations.Delete;
|
||||
import org.apache.ibatis.annotations.Mapper;
|
||||
import org.apache.ibatis.annotations.Param;
|
||||
|
||||
import java.time.LocalDate;
|
||||
|
||||
@Mapper
|
||||
public interface DeviceLogFileMapper extends BaseMapper<DeviceLogFileEntity> {
|
||||
|
||||
/**
|
||||
* 按日志日期分批删除保留期外的元数据行。
|
||||
*
|
||||
* <p>只删 {@code log_date} 早于 cutoff 的行:这条线正好是查询侧可见窗口的边界,
|
||||
* 即"早已看不见、只剩占位"的行,删掉不影响任何读取路径。
|
||||
*/
|
||||
@Delete("""
|
||||
DELETE FROM device_log_file
|
||||
WHERE log_date < #{cutoff}
|
||||
LIMIT #{batchSize}
|
||||
""")
|
||||
int deleteOlderThanBatch(@Param("cutoff") LocalDate cutoff, @Param("batchSize") int batchSize);
|
||||
}
|
||||
+32
@@ -0,0 +1,32 @@
|
||||
package com.nanri.aiimage.modules.devicelog.model.entity;
|
||||
|
||||
import com.baomidou.mybatisplus.annotation.IdType;
|
||||
import com.baomidou.mybatisplus.annotation.TableId;
|
||||
import com.baomidou.mybatisplus.annotation.TableName;
|
||||
import lombok.Data;
|
||||
|
||||
import java.time.LocalDateTime;
|
||||
|
||||
/**
|
||||
* 日志采集配置:scope=global 为全局默认(source/device_id 存空串占位);
|
||||
* scope=device 为终端级覆盖(按来源+设备精确命中,优先于全局)。
|
||||
*/
|
||||
@Data
|
||||
@TableName("device_log_config")
|
||||
public class DeviceLogConfigEntity {
|
||||
|
||||
@TableId(type = IdType.AUTO)
|
||||
private Long id;
|
||||
/** global / device。 */
|
||||
private String scope;
|
||||
/** 对应 device_log_file.source(global 行存空串)。 */
|
||||
private String source;
|
||||
/** 对应 device_log_file.device_id(global 行存空串)。 */
|
||||
private String deviceId;
|
||||
/** 覆盖行记录的设备展示名(列表展示用)。 */
|
||||
private String deviceName;
|
||||
/** full(全量)/ selected(精选)。 */
|
||||
private String mode;
|
||||
private LocalDateTime createdAt;
|
||||
private LocalDateTime updatedAt;
|
||||
}
|
||||
+37
@@ -0,0 +1,37 @@
|
||||
package com.nanri.aiimage.modules.devicelog.model.entity;
|
||||
|
||||
import com.baomidou.mybatisplus.annotation.IdType;
|
||||
import com.baomidou.mybatisplus.annotation.TableId;
|
||||
import com.baomidou.mybatisplus.annotation.TableName;
|
||||
import lombok.Data;
|
||||
|
||||
import java.time.LocalDate;
|
||||
import java.time.LocalDateTime;
|
||||
|
||||
/**
|
||||
* 设备日志文件元数据(对象内容存独立 MinIO,本表只存索引与进度)。
|
||||
* 一个「来源 + 设备 + 文件名 + 日志日期」一行,uploadedBytes/partCount 随增量上报推进。
|
||||
*/
|
||||
@Data
|
||||
@TableName("device_log_file")
|
||||
public class DeviceLogFileEntity {
|
||||
|
||||
@TableId(type = IdType.AUTO)
|
||||
private Long id;
|
||||
/** 来源:client(桌面客户端)/ maixiang(麦象采集机)。 */
|
||||
private String source;
|
||||
private String deviceId;
|
||||
/** 展示名:客户端登录用户名或机器名。 */
|
||||
private String deviceName;
|
||||
/** 桌面客户端当前登录用户 id(users.id),maixiang 上报为空。 */
|
||||
private Long uid;
|
||||
/** 日志文件名(客户端可能含子目录,如 API/2026_09_15.log)。 */
|
||||
private String fileName;
|
||||
private LocalDate logDate;
|
||||
/** 已上传的明文字节数(客户端增量断点由此对齐)。 */
|
||||
private Long uploadedBytes;
|
||||
private Integer partCount;
|
||||
private LocalDateTime lastUploadAt;
|
||||
private LocalDateTime createdAt;
|
||||
private LocalDateTime updatedAt;
|
||||
}
|
||||
+19
@@ -0,0 +1,19 @@
|
||||
package com.nanri.aiimage.modules.devicelog.model.vo;
|
||||
|
||||
import lombok.Data;
|
||||
|
||||
/** 日志内容(按尾部截取)。 */
|
||||
@Data
|
||||
public class DeviceLogContentVo {
|
||||
|
||||
private Long fileId;
|
||||
private String fileName;
|
||||
/** 已解压的日志文本(自最早行边界起,保证不截出半行)。 */
|
||||
private String content;
|
||||
/** 服务端已收到的日志总字节数。 */
|
||||
private long totalBytes;
|
||||
/** 本次实际返回的字节数。 */
|
||||
private long shownBytes;
|
||||
/** true=内容被截断(更早的历史未返回,可加大 maxBytes 再取)。 */
|
||||
private boolean truncated;
|
||||
}
|
||||
+25
@@ -0,0 +1,25 @@
|
||||
package com.nanri.aiimage.modules.devicelog.model.vo;
|
||||
|
||||
import lombok.Data;
|
||||
|
||||
import java.time.LocalDate;
|
||||
import java.time.LocalDateTime;
|
||||
|
||||
/** 日志文件列表行。 */
|
||||
@Data
|
||||
public class DeviceLogFileVo {
|
||||
|
||||
private Long id;
|
||||
private String source;
|
||||
private String deviceId;
|
||||
private String deviceName;
|
||||
/** 关联用户展示名(users.username;解析不到时为空)。 */
|
||||
private String username;
|
||||
private Long uid;
|
||||
private String fileName;
|
||||
private LocalDate logDate;
|
||||
private Long uploadedBytes;
|
||||
private Integer partCount;
|
||||
private LocalDateTime lastUploadAt;
|
||||
private LocalDateTime createdAt;
|
||||
}
|
||||
+17
@@ -0,0 +1,17 @@
|
||||
package com.nanri.aiimage.modules.devicelog.model.vo;
|
||||
|
||||
import lombok.Data;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
/** 日志文件分页结果。 */
|
||||
@Data
|
||||
public class DeviceLogPageVo {
|
||||
|
||||
private List<DeviceLogFileVo> items;
|
||||
private long total;
|
||||
private long page;
|
||||
private long pageSize;
|
||||
/** 服务端保留天数(前端提示「日志仅保留 N 天」)。 */
|
||||
private int retentionDays;
|
||||
}
|
||||
+169
@@ -0,0 +1,169 @@
|
||||
package com.nanri.aiimage.modules.devicelog.service;
|
||||
|
||||
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
|
||||
import com.nanri.aiimage.common.exception.BusinessException;
|
||||
import com.nanri.aiimage.modules.devicelog.mapper.DeviceLogConfigMapper;
|
||||
import com.nanri.aiimage.modules.devicelog.model.entity.DeviceLogConfigEntity;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.stereotype.Service;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
/**
|
||||
* 日志采集配置:全局默认 + 终端覆盖(超管在后台「日志管理」调整)。
|
||||
*
|
||||
* <p>上报端(桌面客户端 / 麦象)定期拉取生效配置:全量上传目录内全部日志;
|
||||
* 精选模式只上传关键日志(排除清单见 {@link #selectedExcludes},随配置一起下发,
|
||||
* 调整清单无需发客户端版本)。
|
||||
*/
|
||||
@Slf4j
|
||||
@Service
|
||||
@RequiredArgsConstructor
|
||||
public class DeviceLogConfigService {
|
||||
|
||||
public static final String MODE_FULL = "full";
|
||||
public static final String MODE_SELECTED = "selected";
|
||||
|
||||
/** 精选模式排除清单(glob,按来源;相对日志目录的文件名)。 */
|
||||
private static final Map<String, List<String>> SELECTED_EXCLUDES = Map.of(
|
||||
"client", List.of("pywebview.log"),
|
||||
"maixiang", List.of("kk-browser.log*", "*_console.log", "test*.log"));
|
||||
|
||||
private final DeviceLogConfigMapper deviceLogConfigMapper;
|
||||
|
||||
/** 生效配置(终端覆盖 > 全局默认 > 兜底全量)。 */
|
||||
public record EffectiveConfig(String mode, List<String> exclude) {
|
||||
}
|
||||
|
||||
public EffectiveConfig resolve(String source, String deviceId) {
|
||||
DeviceLogConfigEntity override = deviceLogConfigMapper.selectOne(
|
||||
new LambdaQueryWrapper<DeviceLogConfigEntity>()
|
||||
.eq(DeviceLogConfigEntity::getScope, "device")
|
||||
.eq(DeviceLogConfigEntity::getSource, source)
|
||||
.eq(DeviceLogConfigEntity::getDeviceId, deviceId)
|
||||
.last("limit 1"));
|
||||
String mode = override != null ? override.getMode() : globalMode();
|
||||
return new EffectiveConfig(mode, selectedExcludes(mode, source));
|
||||
}
|
||||
|
||||
public String globalMode() {
|
||||
DeviceLogConfigEntity global = findGlobal();
|
||||
return global == null ? MODE_FULL : global.getMode();
|
||||
}
|
||||
|
||||
public List<String> selectedExcludes(String mode, String source) {
|
||||
if (!MODE_SELECTED.equals(mode)) {
|
||||
return List.of();
|
||||
}
|
||||
List<String> excludes = SELECTED_EXCLUDES.get(source);
|
||||
if (excludes == null) {
|
||||
log.warn("[device-log] 来源 {} 无精选排除清单,精选模式将等价全量", source);
|
||||
return List.of();
|
||||
}
|
||||
return new ArrayList<>(excludes);
|
||||
}
|
||||
|
||||
public void setGlobalMode(String mode) {
|
||||
String safeMode = normalizeMode(mode);
|
||||
DeviceLogConfigEntity global = findGlobal();
|
||||
if (global == null) {
|
||||
global = new DeviceLogConfigEntity();
|
||||
global.setScope("global");
|
||||
global.setSource("");
|
||||
global.setDeviceId("");
|
||||
global.setMode(safeMode);
|
||||
deviceLogConfigMapper.insert(global);
|
||||
log.info("[device-log] 全局采集模式初始化 mode={}", safeMode);
|
||||
return;
|
||||
}
|
||||
if (safeMode.equals(global.getMode())) {
|
||||
return;
|
||||
}
|
||||
deviceLogConfigMapper.updateById(withMode(global, safeMode));
|
||||
log.info("[device-log] 全局采集模式更新 {} → {}", global.getMode(), safeMode);
|
||||
}
|
||||
|
||||
public List<DeviceLogConfigEntity> listOverrides(String keyword) {
|
||||
LambdaQueryWrapper<DeviceLogConfigEntity> qw = new LambdaQueryWrapper<DeviceLogConfigEntity>()
|
||||
.eq(DeviceLogConfigEntity::getScope, "device");
|
||||
if (keyword != null && !keyword.isBlank()) {
|
||||
String kw = keyword.trim();
|
||||
qw.and(w -> w.like(DeviceLogConfigEntity::getDeviceId, kw)
|
||||
.or().like(DeviceLogConfigEntity::getDeviceName, kw));
|
||||
}
|
||||
return deviceLogConfigMapper.selectList(qw
|
||||
.orderByDesc(DeviceLogConfigEntity::getUpdatedAt)
|
||||
.last("limit 500"));
|
||||
}
|
||||
|
||||
public DeviceLogConfigEntity upsertOverride(String source, String deviceId, String deviceName, String mode) {
|
||||
String safeSource = requireText(source, "source", 32);
|
||||
String safeDeviceId = requireText(deviceId, "deviceId", 128);
|
||||
String safeMode = normalizeMode(mode);
|
||||
DeviceLogConfigEntity row = deviceLogConfigMapper.selectOne(
|
||||
new LambdaQueryWrapper<DeviceLogConfigEntity>()
|
||||
.eq(DeviceLogConfigEntity::getScope, "device")
|
||||
.eq(DeviceLogConfigEntity::getSource, safeSource)
|
||||
.eq(DeviceLogConfigEntity::getDeviceId, safeDeviceId)
|
||||
.last("limit 1"));
|
||||
if (row == null) {
|
||||
row = new DeviceLogConfigEntity();
|
||||
row.setScope("device");
|
||||
row.setSource(safeSource);
|
||||
row.setDeviceId(safeDeviceId);
|
||||
row.setDeviceName(deviceName);
|
||||
row.setMode(safeMode);
|
||||
deviceLogConfigMapper.insert(row);
|
||||
log.info("[device-log] 新增终端覆盖 source={} device={} mode={}", safeSource, safeDeviceId, safeMode);
|
||||
return row;
|
||||
}
|
||||
DeviceLogConfigEntity update = withMode(row, safeMode);
|
||||
if (deviceName != null && !deviceName.isBlank()) {
|
||||
update.setDeviceName(deviceName);
|
||||
}
|
||||
deviceLogConfigMapper.updateById(update);
|
||||
log.info("[device-log] 终端覆盖更新 source={} device={} mode={}", safeSource, safeDeviceId, safeMode);
|
||||
return update;
|
||||
}
|
||||
|
||||
public boolean deleteOverride(Long id) {
|
||||
if (id == null) {
|
||||
throw new BusinessException(400, "id 不能为空");
|
||||
}
|
||||
int deleted = deviceLogConfigMapper.deleteById(id);
|
||||
log.info("[device-log] 终端覆盖删除 id={} deleted={}", id, deleted);
|
||||
return deleted > 0;
|
||||
}
|
||||
|
||||
private DeviceLogConfigEntity findGlobal() {
|
||||
return deviceLogConfigMapper.selectOne(new LambdaQueryWrapper<DeviceLogConfigEntity>()
|
||||
.eq(DeviceLogConfigEntity::getScope, "global")
|
||||
.last("limit 1"));
|
||||
}
|
||||
|
||||
private static DeviceLogConfigEntity withMode(DeviceLogConfigEntity row, String mode) {
|
||||
DeviceLogConfigEntity update = new DeviceLogConfigEntity();
|
||||
update.setId(row.getId());
|
||||
update.setMode(mode);
|
||||
return update;
|
||||
}
|
||||
|
||||
private static String normalizeMode(String mode) {
|
||||
String trimmed = mode == null ? "" : mode.trim().toLowerCase();
|
||||
if (!MODE_FULL.equals(trimmed) && !MODE_SELECTED.equals(trimmed)) {
|
||||
throw new BusinessException(400, "mode 只支持 full / selected");
|
||||
}
|
||||
return trimmed;
|
||||
}
|
||||
|
||||
private static String requireText(String value, String field, int maxLength) {
|
||||
String trimmed = value == null ? "" : value.trim();
|
||||
if (trimmed.isEmpty() || trimmed.length() > maxLength) {
|
||||
throw new BusinessException(400, field + " 非法");
|
||||
}
|
||||
return trimmed;
|
||||
}
|
||||
}
|
||||
+77
@@ -0,0 +1,77 @@
|
||||
package com.nanri.aiimage.modules.devicelog.service;
|
||||
|
||||
import com.nanri.aiimage.common.service.DistributedJobLockService;
|
||||
import com.nanri.aiimage.config.DeviceLogOssProperties;
|
||||
import com.nanri.aiimage.modules.devicelog.mapper.DeviceLogFileMapper;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.beans.factory.annotation.Value;
|
||||
import org.springframework.scheduling.annotation.Scheduled;
|
||||
import org.springframework.stereotype.Service;
|
||||
|
||||
import java.time.Duration;
|
||||
import java.time.LocalDate;
|
||||
|
||||
/**
|
||||
* 设备日志元数据的保留期清理。
|
||||
*
|
||||
* <p>对象侧一直有生命周期(主机B 独立 MinIO 桶,由运维 mc 定时任务按 7 天回收),
|
||||
* 但 {@code device_log_file} 的元数据行此前**只增不删**:客户端每 60 秒上报一轮,
|
||||
* 每台设备每天登记若干「来源+设备+文件名+日期」行,长期运行会无限累积。
|
||||
*
|
||||
* <p>查询侧本就只展示保留期内的行({@link DeviceLogService#page} 用同一个
|
||||
* {@code retentionDays} 过滤),这里按完全相同的边界删掉早已不可见的行。
|
||||
* 保留天数直接复用 {@code aiimage.device-log-oss.retention-days},
|
||||
* 与对象侧共用同一个配置项,避免两边各写一份天数后悄悄漂移。
|
||||
*
|
||||
* <p>对象本身仍由桶生命周期负责回收,本任务不碰对象:两条时间线按「对象修改时间」
|
||||
* 与「日志日期」衡量,可能有几天错位,但对象最终仍会被桶规则删除,不会永久残留。
|
||||
*
|
||||
* <p>双节点用 job 锁保证单实例执行;分批删除并限制单轮批次数,避免一次跑太久占住锁。
|
||||
*/
|
||||
@Service
|
||||
@RequiredArgsConstructor
|
||||
@Slf4j
|
||||
public class DeviceLogRetentionService {
|
||||
|
||||
/** 单轮最多删除的批次数(每批 batchSize 行),剩余留给下一轮。 */
|
||||
static final int MAX_BATCHES_PER_RUN = 20;
|
||||
|
||||
private final DeviceLogFileMapper deviceLogFileMapper;
|
||||
private final DeviceLogOssProperties properties;
|
||||
private final DistributedJobLockService distributedJobLockService;
|
||||
|
||||
@Value("${aiimage.device-log.retention-batch-size:2000}")
|
||||
private int retentionBatchSize = 2000;
|
||||
|
||||
@Scheduled(cron = "${aiimage.device-log.retention-cron:0 40 4 * * *}")
|
||||
public void purgeExpiredMetadata() {
|
||||
int days = properties.retentionDaysOrDefault();
|
||||
int batchSize = Math.max(100, retentionBatchSize);
|
||||
// 与查询侧可见窗口同一条边界:page() 只展示 log_date >= 今天-(days-1) 的行
|
||||
LocalDate cutoff = LocalDate.now().minusDays(days - 1L);
|
||||
|
||||
DistributedJobLockService.LockHandle lockHandle =
|
||||
distributedJobLockService.tryLock("device-log:metadata-retention", Duration.ofMinutes(15));
|
||||
if (lockHandle == null) {
|
||||
log.info("[device-log] 元数据保留清理跳过:另一实例持锁");
|
||||
return;
|
||||
}
|
||||
try (lockHandle) {
|
||||
int totalDeleted = 0;
|
||||
int batches = 0;
|
||||
while (batches < MAX_BATCHES_PER_RUN) {
|
||||
int deleted = deviceLogFileMapper.deleteOlderThanBatch(cutoff, batchSize);
|
||||
batches++;
|
||||
totalDeleted += deleted;
|
||||
if (deleted < batchSize) {
|
||||
break;
|
||||
}
|
||||
}
|
||||
log.info("[device-log] 元数据保留清理完成 cutoff={} retentionDays={} deleted={} batches={}",
|
||||
cutoff, days, totalDeleted, batches);
|
||||
} catch (Exception ex) {
|
||||
log.warn("[device-log] 元数据保留清理失败 cutoff={} msg={}", cutoff, ex.getMessage(), ex);
|
||||
}
|
||||
}
|
||||
}
|
||||
+458
@@ -0,0 +1,458 @@
|
||||
package com.nanri.aiimage.modules.devicelog.service;
|
||||
|
||||
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
|
||||
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
|
||||
import com.baomidou.mybatisplus.core.conditions.update.LambdaUpdateWrapper;
|
||||
import com.nanri.aiimage.common.exception.BusinessException;
|
||||
import com.nanri.aiimage.common.mapper.AdminUserMapper;
|
||||
import com.nanri.aiimage.common.model.entity.AdminUserEntity;
|
||||
import com.nanri.aiimage.config.DeviceLogOssProperties;
|
||||
import com.nanri.aiimage.modules.devicelog.mapper.DeviceLogFileMapper;
|
||||
import com.nanri.aiimage.modules.devicelog.model.entity.DeviceLogFileEntity;
|
||||
import com.nanri.aiimage.modules.devicelog.model.vo.DeviceLogContentVo;
|
||||
import com.nanri.aiimage.modules.devicelog.model.vo.DeviceLogFileVo;
|
||||
import com.nanri.aiimage.modules.devicelog.model.vo.DeviceLogPageVo;
|
||||
import com.nanri.aiimage.modules.devicelog.storage.DeviceLogStorageService;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.stereotype.Service;
|
||||
|
||||
import java.io.ByteArrayInputStream;
|
||||
import java.io.ByteArrayOutputStream;
|
||||
import java.io.IOException;
|
||||
import java.io.InputStream;
|
||||
import java.io.OutputStream;
|
||||
import java.nio.charset.StandardCharsets;
|
||||
import java.time.LocalDate;
|
||||
import java.time.LocalDateTime;
|
||||
import java.util.ArrayDeque;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Arrays;
|
||||
import java.util.Deque;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.Objects;
|
||||
import java.util.function.Function;
|
||||
import java.util.regex.Pattern;
|
||||
import java.util.zip.GZIPInputStream;
|
||||
|
||||
/**
|
||||
* 设备日志:增量片段接收(桌面客户端 / 麦象采集机上报)与后台查询。
|
||||
*
|
||||
* <p>存储模型:一个「来源+设备+文件名+日期」一行元数据;内容以 gzip 片段对象按
|
||||
* 「起始偏移」命名存独立 MinIO(device-logs/…/{offset}.log.gz)。客户端按本地
|
||||
* uploadedBytes 断点续传,服务端条件推进偏移;查看/下载时按偏移顺序拼接解压。
|
||||
* 片段 key 带偏移(而非序号),重复上报与乱序重试都会覆盖同一对象,天然幂等。
|
||||
*/
|
||||
@Slf4j
|
||||
@Service
|
||||
@RequiredArgsConstructor
|
||||
public class DeviceLogService {
|
||||
|
||||
/** 单片段明文上限(客户端按 2MB 切片,此处留防线余量)。 */
|
||||
private static final long MAX_PART_PLAIN_BYTES = 8L * 1024 * 1024;
|
||||
private static final long MAX_PART_GZIP_BYTES = 8L * 1024 * 1024;
|
||||
|
||||
private static final long DEFAULT_TAIL_BYTES = 256L * 1024;
|
||||
private static final long MIN_TAIL_BYTES = 16L * 1024;
|
||||
private static final long MAX_TAIL_BYTES = 8L * 1024 * 1024;
|
||||
|
||||
private static final long MAX_PAGE_SIZE = 100L;
|
||||
|
||||
/** 来源白名单形态:小写字母开头,长度 ≤32(client / maixiang / 未来新来源)。 */
|
||||
private static final Pattern SOURCE_PATTERN = Pattern.compile("^[a-z][a-z0-9_-]{0,31}$");
|
||||
/** 对象 key 段落清洗:路径分隔符、通配符、控制字符一律换成下划线。 */
|
||||
private static final Pattern UNSAFE_SEGMENT = Pattern.compile("[\\\\/:*?\"<>|\\x00-\\x1F]+");
|
||||
|
||||
private final DeviceLogFileMapper deviceLogFileMapper;
|
||||
private final AdminUserMapper adminUserMapper;
|
||||
private final DeviceLogStorageService storage;
|
||||
private final DeviceLogOssProperties properties;
|
||||
|
||||
/** 上报处理结果。 */
|
||||
public record PartResult(long uploadedBytes, int partCount, boolean accepted, boolean skipped) {
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------- 上报
|
||||
|
||||
/**
|
||||
* 接收一个增量片段。
|
||||
*
|
||||
* @param offset 客户端认为的已上传明文偏移(必须等于服务端记录值才能追加)
|
||||
* @param plainBytes 本片段解压后的明文字节数(客户端告知;服务端只存 gzip 不解压)
|
||||
*/
|
||||
public PartResult recordPart(String source, String deviceId, String deviceName, Long uid,
|
||||
String fileName, LocalDate logDate, long offset, long plainBytes,
|
||||
byte[] gzipBytes) {
|
||||
String safeSource = normalizeSource(source);
|
||||
String safeDeviceId = requireSegment(deviceId, "deviceId", 128);
|
||||
String safeFileName = requireSegment(fileName, "fileName", 255);
|
||||
if (logDate == null) {
|
||||
throw new BusinessException(400, "logDate 不能为空");
|
||||
}
|
||||
if (offset < 0) {
|
||||
throw new BusinessException(400, "offset 非法");
|
||||
}
|
||||
if (plainBytes <= 0 || plainBytes > MAX_PART_PLAIN_BYTES) {
|
||||
throw new BusinessException(400, "plainBytes 非法(1 ~ " + MAX_PART_PLAIN_BYTES + ")");
|
||||
}
|
||||
if (gzipBytes == null || gzipBytes.length == 0 || gzipBytes.length > MAX_PART_GZIP_BYTES) {
|
||||
throw new BusinessException(400, "片段内容为空或超过上限");
|
||||
}
|
||||
if (!storage.enabled()) {
|
||||
log.error("[device-log] 上报被拒:对象存储未就绪 source={} device={} file={}", safeSource, safeDeviceId, safeFileName);
|
||||
throw new BusinessException(503, "日志存储未就绪,请稍后重试");
|
||||
}
|
||||
|
||||
DeviceLogFileEntity row = findOrCreate(safeSource, safeDeviceId, safeFileName, logDate, deviceName, uid);
|
||||
long current = row.getUploadedBytes() == null ? 0L : row.getUploadedBytes();
|
||||
|
||||
if (offset < current) {
|
||||
// 重试/重复上报:内容已收过,幂等跳过(返回服务端权威进度供客户端对齐)
|
||||
log.info("[device-log] 片段重复,幂等跳过 source={} device={} file={} date={} offset={} current={}",
|
||||
safeSource, safeDeviceId, safeFileName, logDate, offset, current);
|
||||
return new PartResult(current, nvl(row.getPartCount()), false, true);
|
||||
}
|
||||
if (offset > current) {
|
||||
// 出现空洞(客户端本地进度领先于服务端):拒绝,让客户端从服务端进度重读
|
||||
log.warn("[device-log] 片段偏移不连续 source={} device={} file={} date={} offset={} current={}",
|
||||
safeSource, safeDeviceId, safeFileName, logDate, offset, current);
|
||||
throw new BusinessException(409, "偏移不连续,请从 uploadedBytes=" + current + " 重新读取");
|
||||
}
|
||||
|
||||
String objectKey = objectKeyPrefix(safeSource, safeDeviceId, logDate, safeFileName)
|
||||
+ String.format("%012d.log.gz", offset);
|
||||
storage.putPart(objectKey, gzipBytes);
|
||||
|
||||
// 条件推进(uploaded_bytes 与读取时一致才更新;双节点并发时另一方以 0 行影响放弃,以库中值为准)
|
||||
int updated = deviceLogFileMapper.update(null, new LambdaUpdateWrapper<DeviceLogFileEntity>()
|
||||
.eq(DeviceLogFileEntity::getId, row.getId())
|
||||
.eq(DeviceLogFileEntity::getUploadedBytes, current)
|
||||
.set(DeviceLogFileEntity::getUploadedBytes, offset + plainBytes)
|
||||
.setSql("part_count = part_count + 1")
|
||||
.set(DeviceLogFileEntity::getLastUploadAt, LocalDateTime.now())
|
||||
.set(deviceName != null && !deviceName.isBlank(), DeviceLogFileEntity::getDeviceName, deviceName)
|
||||
.set(uid != null, DeviceLogFileEntity::getUid, uid));
|
||||
if (updated <= 0) {
|
||||
DeviceLogFileEntity latest = deviceLogFileMapper.selectById(row.getId());
|
||||
long latestBytes = latest == null || latest.getUploadedBytes() == null ? current : latest.getUploadedBytes();
|
||||
log.warn("[device-log] 并发推进冲突,以库中值为准 id={} offset={} 库中={}", row.getId(), offset, latestBytes);
|
||||
return new PartResult(latestBytes, latest == null ? 0 : nvl(latest.getPartCount()), false, true);
|
||||
}
|
||||
|
||||
long after = offset + plainBytes;
|
||||
log.info("[device-log] 已收片段 source={} device={} file={} date={} offset={} +{}B → {}B key={}",
|
||||
safeSource, safeDeviceId, safeFileName, logDate, offset, plainBytes, after, objectKey);
|
||||
return new PartResult(after, nvl(row.getPartCount()) + 1, true, false);
|
||||
}
|
||||
|
||||
/** 客户端进度对齐:返回服务端已持有的偏移与片段数。 */
|
||||
public Map<String, Object> state(String source, String deviceId, String fileName, LocalDate logDate) {
|
||||
String safeSource = normalizeSource(source);
|
||||
DeviceLogFileEntity row = find(safeSource, requireSegment(deviceId, "deviceId", 128),
|
||||
requireSegment(fileName, "fileName", 255), logDate);
|
||||
return Map.of(
|
||||
"exists", row != null,
|
||||
"uploadedBytes", row == null || row.getUploadedBytes() == null ? 0L : row.getUploadedBytes(),
|
||||
"parts", row == null ? 0 : nvl(row.getPartCount()));
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------- 查询
|
||||
|
||||
public DeviceLogPageVo page(String source, String keyword, LocalDate startDate, LocalDate endDate,
|
||||
Long pageParam, Long pageSizeParam) {
|
||||
int retentionDays = properties.retentionDaysOrDefault();
|
||||
LocalDate minDate = LocalDate.now().minusDays(retentionDays - 1L);
|
||||
LocalDate from = startDate == null || startDate.isBefore(minDate) ? minDate : startDate;
|
||||
long safePage = pageParam == null || pageParam < 1 ? 1L : pageParam;
|
||||
long safeSize = pageSizeParam == null || pageSizeParam < 1
|
||||
? 20L : Math.min(pageSizeParam, MAX_PAGE_SIZE);
|
||||
|
||||
Function<Boolean, LambdaQueryWrapper<DeviceLogFileEntity>> wrapperBuilder = countOnly -> {
|
||||
LambdaQueryWrapper<DeviceLogFileEntity> qw = new LambdaQueryWrapper<>();
|
||||
if (source != null && !source.isBlank()) {
|
||||
qw.eq(DeviceLogFileEntity::getSource, source.trim());
|
||||
}
|
||||
if (keyword != null && !keyword.isBlank()) {
|
||||
String kw = keyword.trim();
|
||||
qw.and(w -> w.like(DeviceLogFileEntity::getDeviceName, kw)
|
||||
.or().like(DeviceLogFileEntity::getDeviceId, kw)
|
||||
.or().like(DeviceLogFileEntity::getFileName, kw));
|
||||
}
|
||||
qw.ge(DeviceLogFileEntity::getLogDate, from);
|
||||
if (endDate != null) {
|
||||
qw.le(DeviceLogFileEntity::getLogDate, endDate);
|
||||
}
|
||||
return qw;
|
||||
};
|
||||
|
||||
Long totalValue = deviceLogFileMapper.selectCount(wrapperBuilder.apply(true));
|
||||
long total = totalValue == null ? 0L : totalValue;
|
||||
long offset = Math.max(0L, (safePage - 1) * safeSize);
|
||||
List<DeviceLogFileEntity> rows = total == 0 ? List.of()
|
||||
: deviceLogFileMapper.selectList(wrapperBuilder.apply(false)
|
||||
.orderByDesc(DeviceLogFileEntity::getLastUploadAt)
|
||||
.orderByDesc(DeviceLogFileEntity::getId)
|
||||
.last("limit " + offset + "," + safeSize));
|
||||
|
||||
Map<Long, String> usernameOf = resolveUsernames(rows);
|
||||
List<DeviceLogFileVo> items = new ArrayList<>(rows.size());
|
||||
for (DeviceLogFileEntity row : rows) {
|
||||
items.add(toVo(row, usernameOf));
|
||||
}
|
||||
|
||||
DeviceLogPageVo vo = new DeviceLogPageVo();
|
||||
vo.setItems(items);
|
||||
vo.setTotal(total);
|
||||
vo.setPage(safePage);
|
||||
vo.setPageSize(safeSize);
|
||||
vo.setRetentionDays(retentionDays);
|
||||
log.info("[device-log] 列表查询 source={} keyword={} 起={} 止={} page={} size={} 命中={}",
|
||||
source, keyword, from, endDate, safePage, safeSize, total);
|
||||
return vo;
|
||||
}
|
||||
|
||||
/** 最近上报过的终端(来源+设备去重,供后台配置终端覆盖时选择)。 */
|
||||
public List<Map<String, Object>> recentDevices() {
|
||||
LocalDate minDate = LocalDate.now().minusDays(properties.retentionDaysOrDefault() - 1L);
|
||||
return deviceLogFileMapper.selectMaps(new QueryWrapper<DeviceLogFileEntity>()
|
||||
.select("source",
|
||||
"device_id AS deviceId",
|
||||
"MAX(device_name) AS deviceName",
|
||||
"MAX(last_upload_at) AS lastUploadAt")
|
||||
.ge("log_date", minDate)
|
||||
.groupBy("source", "device_id")
|
||||
.orderByDesc("lastUploadAt")
|
||||
.last("limit 200"));
|
||||
}
|
||||
|
||||
/** 尾部内容:从最新片段往前读,尽量凑满 maxBytes(自最早行边界起截取,不出现半行)。 */
|
||||
public DeviceLogContentVo readTail(Long fileId, Long maxBytesParam) {
|
||||
DeviceLogFileEntity row = requireFile(fileId);
|
||||
long maxBytes = maxBytesParam == null ? DEFAULT_TAIL_BYTES
|
||||
: Math.max(MIN_TAIL_BYTES, Math.min(maxBytesParam, MAX_TAIL_BYTES));
|
||||
String prefix = objectKeyPrefix(row);
|
||||
List<String> partKeys = storage.listParts(prefix);
|
||||
|
||||
Deque<byte[]> chunks = new ArrayDeque<>();
|
||||
long acc = 0;
|
||||
int idx = partKeys.size() - 1;
|
||||
for (; idx >= 0 && acc < maxBytes; idx--) {
|
||||
byte[] plain;
|
||||
try {
|
||||
plain = gunzip(storage.readPartBytes(partKeys.get(idx)));
|
||||
} catch (Exception ex) {
|
||||
log.warn("[device-log] 片段读取/解压失败,跳过 key={} err={}", partKeys.get(idx), ex.getMessage());
|
||||
continue;
|
||||
}
|
||||
chunks.addFirst(plain);
|
||||
acc += plain.length;
|
||||
}
|
||||
boolean truncated = idx >= 0;
|
||||
|
||||
ByteArrayOutputStream merged = new ByteArrayOutputStream((int) Math.min(acc, Integer.MAX_VALUE));
|
||||
for (byte[] chunk : chunks) {
|
||||
merged.write(chunk, 0, chunk.length);
|
||||
}
|
||||
byte[] bytes = merged.toByteArray();
|
||||
if (bytes.length > maxBytes) {
|
||||
int cut = (int) (bytes.length - maxBytes);
|
||||
int nl = indexOfNewline(bytes, cut);
|
||||
// 从行边界开始截(不留半行);但若这样会切掉全部内容(超长行),退回按字节截
|
||||
if (nl >= 0 && nl + 1 < bytes.length) {
|
||||
cut = nl + 1;
|
||||
}
|
||||
bytes = Arrays.copyOfRange(bytes, cut, bytes.length);
|
||||
truncated = true;
|
||||
}
|
||||
|
||||
DeviceLogContentVo vo = new DeviceLogContentVo();
|
||||
vo.setFileId(row.getId());
|
||||
vo.setFileName(row.getFileName());
|
||||
vo.setContent(new String(bytes, StandardCharsets.UTF_8));
|
||||
vo.setTotalBytes(row.getUploadedBytes() == null ? 0L : row.getUploadedBytes());
|
||||
vo.setShownBytes(bytes.length);
|
||||
vo.setTruncated(truncated);
|
||||
log.info("[device-log] 内容查看 id={} file={} 总大小={}B 返回={}B 截断={}",
|
||||
row.getId(), row.getFileName(), vo.getTotalBytes(), bytes.length, truncated);
|
||||
return vo;
|
||||
}
|
||||
|
||||
/** 按偏移顺序流式拼接全部片段(解压后写响应,无整文件内存占用)。 */
|
||||
public void streamDownload(Long fileId, OutputStream out) throws IOException {
|
||||
DeviceLogFileEntity row = requireFile(fileId);
|
||||
List<String> partKeys = storage.listParts(objectKeyPrefix(row));
|
||||
if (partKeys.isEmpty()) {
|
||||
throw new BusinessException(404, "该日志暂无内容");
|
||||
}
|
||||
for (String key : partKeys) {
|
||||
try (InputStream raw = storage.openPartStream(key);
|
||||
GZIPInputStream gz = new GZIPInputStream(raw)) {
|
||||
gz.transferTo(out);
|
||||
}
|
||||
}
|
||||
out.flush();
|
||||
log.info("[device-log] 下载拼接完成 id={} file={} 片段数={}", row.getId(), row.getFileName(), partKeys.size());
|
||||
}
|
||||
|
||||
/** 删除日志文件(片段对象 + 元数据行)。返回删除的对象数。 */
|
||||
public int deleteFile(Long fileId) {
|
||||
DeviceLogFileEntity row = requireFile(fileId);
|
||||
List<String> partKeys = storage.listParts(objectKeyPrefix(row));
|
||||
List<String> failed = storage.deleteParts(partKeys);
|
||||
deviceLogFileMapper.deleteById(fileId);
|
||||
log.info("[device-log] 删除日志 id={} file={} 片段总数={} 删除失败={}",
|
||||
row.getId(), row.getFileName(), partKeys.size(), failed.size());
|
||||
return partKeys.size() - failed.size();
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------- 内部
|
||||
|
||||
/** 按 id 取日志文件行(不存在抛 404)。 */
|
||||
public DeviceLogFileEntity requireFile(Long fileId) {
|
||||
if (fileId == null) {
|
||||
throw new BusinessException(400, "fileId 不能为空");
|
||||
}
|
||||
DeviceLogFileEntity row = deviceLogFileMapper.selectById(fileId);
|
||||
if (row == null) {
|
||||
throw new BusinessException(404, "日志文件不存在或已清理");
|
||||
}
|
||||
return row;
|
||||
}
|
||||
|
||||
private DeviceLogFileEntity findOrCreate(String source, String deviceId, String fileName,
|
||||
LocalDate logDate, String deviceName, Long uid) {
|
||||
DeviceLogFileEntity row = find(source, deviceId, fileName, logDate);
|
||||
if (row != null) {
|
||||
return row;
|
||||
}
|
||||
DeviceLogFileEntity entity = new DeviceLogFileEntity();
|
||||
entity.setSource(source);
|
||||
entity.setDeviceId(deviceId);
|
||||
entity.setFileName(fileName);
|
||||
entity.setLogDate(logDate);
|
||||
entity.setDeviceName(deviceName);
|
||||
entity.setUid(uid);
|
||||
entity.setUploadedBytes(0L);
|
||||
entity.setPartCount(0);
|
||||
try {
|
||||
deviceLogFileMapper.insert(entity);
|
||||
log.info("[device-log] 登记新日志文件 id={} source={} device={} file={} date={}",
|
||||
entity.getId(), source, deviceId, fileName, logDate);
|
||||
return entity;
|
||||
} catch (Exception ex) {
|
||||
// 双节点并发首传同一文件:唯一键冲突后复用已有行
|
||||
DeviceLogFileEntity existing = find(source, deviceId, fileName, logDate);
|
||||
if (existing != null) {
|
||||
log.info("[device-log] 并发登记同一文件,复用已有行 id={} file={}", existing.getId(), fileName);
|
||||
return existing;
|
||||
}
|
||||
throw ex;
|
||||
}
|
||||
}
|
||||
|
||||
private DeviceLogFileEntity find(String source, String deviceId, String fileName, LocalDate logDate) {
|
||||
if (logDate == null) {
|
||||
return null;
|
||||
}
|
||||
return deviceLogFileMapper.selectOne(new LambdaQueryWrapper<DeviceLogFileEntity>()
|
||||
.eq(DeviceLogFileEntity::getSource, source)
|
||||
.eq(DeviceLogFileEntity::getDeviceId, deviceId)
|
||||
.eq(DeviceLogFileEntity::getFileName, fileName)
|
||||
.eq(DeviceLogFileEntity::getLogDate, logDate)
|
||||
.last("limit 1"));
|
||||
}
|
||||
|
||||
private String objectKeyPrefix(DeviceLogFileEntity row) {
|
||||
return objectKeyPrefix(row.getSource(), row.getDeviceId(), row.getLogDate(), row.getFileName());
|
||||
}
|
||||
|
||||
private String objectKeyPrefix(String source, String deviceId, LocalDate logDate, String fileName) {
|
||||
return String.format("device-logs/%s/%s/%s/%s/",
|
||||
safeSegment(source), safeSegment(deviceId), logDate, safeSegment(fileName));
|
||||
}
|
||||
|
||||
private Map<Long, String> resolveUsernames(List<DeviceLogFileEntity> rows) {
|
||||
List<Long> uids = rows.stream()
|
||||
.map(DeviceLogFileEntity::getUid)
|
||||
.filter(Objects::nonNull)
|
||||
.distinct()
|
||||
.toList();
|
||||
if (uids.isEmpty()) {
|
||||
return Map.of();
|
||||
}
|
||||
List<AdminUserEntity> users = adminUserMapper.selectBatchIds(uids);
|
||||
Map<Long, String> map = new java.util.HashMap<>();
|
||||
for (AdminUserEntity user : users) {
|
||||
map.put(user.getId(), user.getUsername());
|
||||
}
|
||||
return map;
|
||||
}
|
||||
|
||||
private DeviceLogFileVo toVo(DeviceLogFileEntity row, Map<Long, String> usernameOf) {
|
||||
DeviceLogFileVo vo = new DeviceLogFileVo();
|
||||
vo.setId(row.getId());
|
||||
vo.setSource(row.getSource());
|
||||
vo.setDeviceId(row.getDeviceId());
|
||||
vo.setDeviceName(row.getDeviceName());
|
||||
vo.setUid(row.getUid());
|
||||
vo.setUsername(row.getUid() == null ? null : usernameOf.get(row.getUid()));
|
||||
vo.setFileName(row.getFileName());
|
||||
vo.setLogDate(row.getLogDate());
|
||||
vo.setUploadedBytes(row.getUploadedBytes());
|
||||
vo.setPartCount(row.getPartCount());
|
||||
vo.setLastUploadAt(row.getLastUploadAt());
|
||||
vo.setCreatedAt(row.getCreatedAt());
|
||||
return vo;
|
||||
}
|
||||
|
||||
private String normalizeSource(String source) {
|
||||
String trimmed = source == null ? "" : source.trim();
|
||||
if (!SOURCE_PATTERN.matcher(trimmed).matches()) {
|
||||
log.warn("[device-log] 非法来源被拒 source={}", source);
|
||||
throw new BusinessException(400, "source 非法(小写字母开头,数字/下划线/中划线,≤32)");
|
||||
}
|
||||
return trimmed;
|
||||
}
|
||||
|
||||
private String requireSegment(String value, String field, int maxLength) {
|
||||
String trimmed = value == null ? "" : value.trim();
|
||||
if (trimmed.isEmpty()) {
|
||||
throw new BusinessException(400, field + " 不能为空");
|
||||
}
|
||||
if (trimmed.length() > maxLength) {
|
||||
throw new BusinessException(400, field + " 超长(>" + maxLength + ")");
|
||||
}
|
||||
return trimmed;
|
||||
}
|
||||
|
||||
/** 清洗对象 key 段落:路径分隔符等换成下划线,剔除「.」「..」防穿越。 */
|
||||
private String safeSegment(String value) {
|
||||
String cleaned = UNSAFE_SEGMENT.matcher(value == null ? "" : value.trim()).replaceAll("_");
|
||||
if (cleaned.isEmpty() || cleaned.equals(".") || cleaned.equals("..")) {
|
||||
return "_";
|
||||
}
|
||||
return cleaned;
|
||||
}
|
||||
|
||||
private static byte[] gunzip(byte[] gz) throws IOException {
|
||||
try (GZIPInputStream in = new GZIPInputStream(new ByteArrayInputStream(gz));
|
||||
ByteArrayOutputStream out = new ByteArrayOutputStream(Math.max(64, gz.length * 4))) {
|
||||
in.transferTo(out);
|
||||
return out.toByteArray();
|
||||
}
|
||||
}
|
||||
|
||||
private static int indexOfNewline(byte[] bytes, int from) {
|
||||
for (int i = Math.max(0, from); i < bytes.length; i++) {
|
||||
if (bytes[i] == '\n') {
|
||||
return i;
|
||||
}
|
||||
}
|
||||
return -1;
|
||||
}
|
||||
|
||||
private static int nvl(Integer value) {
|
||||
return value == null ? 0 : value;
|
||||
}
|
||||
}
|
||||
+177
@@ -0,0 +1,177 @@
|
||||
package com.nanri.aiimage.modules.devicelog.storage;
|
||||
|
||||
import com.nanri.aiimage.config.DeviceLogOssProperties;
|
||||
import io.minio.BucketExistsArgs;
|
||||
import io.minio.GetObjectArgs;
|
||||
import io.minio.GetObjectResponse;
|
||||
import io.minio.ListObjectsArgs;
|
||||
import io.minio.MakeBucketArgs;
|
||||
import io.minio.MinioClient;
|
||||
import io.minio.PutObjectArgs;
|
||||
import io.minio.RemoveObjectsArgs;
|
||||
import io.minio.Result;
|
||||
import io.minio.messages.DeleteError;
|
||||
import io.minio.messages.DeleteObject;
|
||||
import io.minio.messages.Item;
|
||||
import jakarta.annotation.PostConstruct;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.stereotype.Service;
|
||||
|
||||
import java.io.ByteArrayInputStream;
|
||||
import java.io.InputStream;
|
||||
import java.util.ArrayList;
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* 设备日志的独立对象存储客户端(主机B 自建 MinIO,非业务 OSS)。
|
||||
*
|
||||
* <p>只存 gzip 片段原文,不做重压缩;桶的 7 天过期规则在部署时由运维用 mc 配置,
|
||||
* 本类不负责生命周期管理。
|
||||
*/
|
||||
@Slf4j
|
||||
@Service
|
||||
@RequiredArgsConstructor
|
||||
public class DeviceLogStorageService {
|
||||
|
||||
private final DeviceLogOssProperties properties;
|
||||
|
||||
private volatile MinioClient client;
|
||||
|
||||
@PostConstruct
|
||||
void init() {
|
||||
if (!properties.configured()) {
|
||||
log.warn("[device-log] aiimage.device-log-oss 未配置(endpoint/凭据/桶),"
|
||||
+ "日志上报与管理接口将不可用;生产必须通过 AIIMAGE_DEVICE_LOG_OSS_* 环境变量注入");
|
||||
return;
|
||||
}
|
||||
try {
|
||||
MinioClient built = MinioClient.builder()
|
||||
.endpoint(properties.getEndpoint())
|
||||
.credentials(properties.getAccessKeyId(), properties.getAccessKeySecret())
|
||||
.build();
|
||||
// 收紧超时:日志接口不能被慢存储拖挂(默认读超时 5 分钟)
|
||||
built.setTimeout(10_000, 60_000, 60_000);
|
||||
boolean exists = built.bucketExists(BucketExistsArgs.builder()
|
||||
.bucket(properties.getBucket()).build());
|
||||
if (!exists) {
|
||||
built.makeBucket(MakeBucketArgs.builder().bucket(properties.getBucket()).build());
|
||||
log.info("[device-log] 已创建日志桶 bucket={}", properties.getBucket());
|
||||
}
|
||||
this.client = built;
|
||||
log.info("[device-log] 日志对象存储已就绪 endpoint={} bucket={} 保留天数={}",
|
||||
properties.getEndpoint(), properties.getBucket(), properties.retentionDaysOrDefault());
|
||||
} catch (Exception ex) {
|
||||
log.error("[device-log] 日志对象存储初始化失败 endpoint={} bucket={},日志功能不可用: {}",
|
||||
properties.getEndpoint(), properties.getBucket(), ex.getMessage(), ex);
|
||||
}
|
||||
}
|
||||
|
||||
public boolean enabled() {
|
||||
return client != null;
|
||||
}
|
||||
|
||||
public String bucket() {
|
||||
return properties.getBucket();
|
||||
}
|
||||
|
||||
/** 写入一个 gzip 片段(同 key 覆盖写,幂等)。 */
|
||||
public void putPart(String objectKey, byte[] gzipBytes) {
|
||||
MinioClient c = requireClient();
|
||||
try (ByteArrayInputStream in = new ByteArrayInputStream(gzipBytes)) {
|
||||
c.putObject(PutObjectArgs.builder()
|
||||
.bucket(bucket())
|
||||
.object(objectKey)
|
||||
.stream(in, gzipBytes.length, -1)
|
||||
.contentType("application/gzip")
|
||||
.build());
|
||||
} catch (Exception ex) {
|
||||
throw new IllegalStateException("写日志对象失败 key=" + objectKey + " err=" + ex.getMessage(), ex);
|
||||
}
|
||||
}
|
||||
|
||||
/** 列出前缀下全部对象 key(按 key 升序;key 内的 offset 为零填充,字典序即偏移序)。 */
|
||||
public List<String> listParts(String prefix) {
|
||||
MinioClient c = requireClient();
|
||||
List<String> keys = new ArrayList<>();
|
||||
try {
|
||||
Iterable<Result<Item>> results = c.listObjects(ListObjectsArgs.builder()
|
||||
.bucket(bucket())
|
||||
.prefix(prefix)
|
||||
.recursive(true)
|
||||
.build());
|
||||
for (Result<Item> result : results) {
|
||||
keys.add(result.get().objectName());
|
||||
}
|
||||
} catch (Exception ex) {
|
||||
throw new IllegalStateException("列日志对象失败 prefix=" + prefix + " err=" + ex.getMessage(), ex);
|
||||
}
|
||||
keys.sort(String::compareTo);
|
||||
return keys;
|
||||
}
|
||||
|
||||
/** 读取一个 gzip 片段的原始字节(未解压)。 */
|
||||
public byte[] readPartBytes(String objectKey) {
|
||||
MinioClient c = requireClient();
|
||||
try (GetObjectResponse response = c.getObject(GetObjectArgs.builder()
|
||||
.bucket(bucket()).object(objectKey).build())) {
|
||||
return response.readAllBytes();
|
||||
} catch (Exception ex) {
|
||||
throw new IllegalStateException("读日志对象失败 key=" + objectKey + " err=" + ex.getMessage(), ex);
|
||||
}
|
||||
}
|
||||
|
||||
/** 打开一个 gzip 片段的流(调用方负责关闭;下载拼接时避免整段进内存)。 */
|
||||
public InputStream openPartStream(String objectKey) {
|
||||
MinioClient c = requireClient();
|
||||
try {
|
||||
return c.getObject(GetObjectArgs.builder()
|
||||
.bucket(bucket()).object(objectKey).build());
|
||||
} catch (Exception ex) {
|
||||
throw new IllegalStateException("打开日志对象流失败 key=" + objectKey + " err=" + ex.getMessage(), ex);
|
||||
}
|
||||
}
|
||||
|
||||
/** 批量删除对象;返回删除失败的 key 列表。 */
|
||||
public List<String> deleteParts(List<String> objectKeys) {
|
||||
if (objectKeys == null || objectKeys.isEmpty()) {
|
||||
return List.of();
|
||||
}
|
||||
MinioClient c = requireClient();
|
||||
List<DeleteObject> targets = objectKeys.stream().map(DeleteObject::new).toList();
|
||||
List<String> failed = new ArrayList<>();
|
||||
try {
|
||||
Iterable<Result<DeleteError>> results = c.removeObjects(RemoveObjectsArgs.builder()
|
||||
.bucket(bucket()).objects(targets).build());
|
||||
for (Result<DeleteError> result : results) {
|
||||
DeleteError error = result.get();
|
||||
failed.add(error.objectName());
|
||||
log.warn("[device-log] 删除对象失败 key={} err={}", error.objectName(), error.message());
|
||||
}
|
||||
} catch (Exception ex) {
|
||||
throw new IllegalStateException("批量删除日志对象失败 err=" + ex.getMessage(), ex);
|
||||
}
|
||||
return failed;
|
||||
}
|
||||
|
||||
/** 探测连通性(上传接口的错误提示用)。 */
|
||||
public boolean ping() {
|
||||
if (client == null) {
|
||||
return false;
|
||||
}
|
||||
try {
|
||||
return client.bucketExists(BucketExistsArgs.builder().bucket(bucket()).build());
|
||||
} catch (Exception ex) {
|
||||
log.warn("[device-log] 存储连通性探测失败: {}", ex.getMessage());
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
private MinioClient requireClient() {
|
||||
MinioClient c = client;
|
||||
if (c == null) {
|
||||
throw new IllegalStateException("日志对象存储未配置或初始化失败");
|
||||
}
|
||||
return c;
|
||||
}
|
||||
}
|
||||
+159
-1
@@ -5,10 +5,14 @@ import io.micrometer.core.instrument.DistributionSummary;
|
||||
import io.micrometer.core.instrument.MeterRegistry;
|
||||
import io.micrometer.core.instrument.Timer;
|
||||
import io.minio.GetObjectArgs;
|
||||
import io.minio.ListObjectsArgs;
|
||||
import io.minio.MinioClient;
|
||||
import io.minio.PutObjectArgs;
|
||||
import io.minio.RemoveObjectArgs;
|
||||
import io.minio.Result;
|
||||
import io.minio.StatObjectArgs;
|
||||
import io.minio.errors.ErrorResponseException;
|
||||
import io.minio.messages.Item;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import okhttp3.ConnectionPool;
|
||||
import okhttp3.Dispatcher;
|
||||
@@ -20,7 +24,11 @@ import org.springframework.stereotype.Service;
|
||||
import java.io.ByteArrayInputStream;
|
||||
import java.io.ByteArrayOutputStream;
|
||||
import java.nio.charset.StandardCharsets;
|
||||
import java.util.ArrayList;
|
||||
import java.util.List;
|
||||
import java.util.Objects;
|
||||
import java.util.Set;
|
||||
import java.util.UUID;
|
||||
import java.util.concurrent.Semaphore;
|
||||
import java.util.concurrent.ThreadLocalRandom;
|
||||
import java.util.concurrent.TimeUnit;
|
||||
@@ -38,6 +46,17 @@ public class RustfsObjectStorageService {
|
||||
private static final String OP_STAT = "stat";
|
||||
private static final String OP_TOTAL = "total";
|
||||
|
||||
/** S3 确定性错误码:重试不会改变结果,应立即失败而不是白打两次请求。 */
|
||||
private static final Set<String> NON_RETRYABLE_S3_CODES = Set.of(
|
||||
"NoSuchKey", "NoSuchBucket", "NoSuchVersion",
|
||||
"AccessDenied", "InvalidAccessKeyId", "SignatureDoesNotMatch", "InvalidBucketName");
|
||||
|
||||
/** 标准 UUID 字符串长度(8-4-4-4-12),用于识别版本化对象 key。 */
|
||||
private static final int UUID_STRING_LENGTH = 36;
|
||||
|
||||
/** 兄弟对象兜底列出的上限:只为找回同槽位的版本化对象,不需要列全。 */
|
||||
private static final int MAX_SIBLING_LIST_KEYS = 50;
|
||||
|
||||
private final TransientStorageProperties properties;
|
||||
private final ObjectProvider<MeterRegistry> meterRegistryProvider;
|
||||
private final ObjectProvider<RustfsDeleteRetryService> deleteRetryServiceProvider;
|
||||
@@ -99,7 +118,22 @@ public class RustfsObjectStorageService {
|
||||
return uploadBytes(objectKey, bytes, verifyAfterUpload);
|
||||
}
|
||||
|
||||
/**
|
||||
* 三参重载:是否做「上传失败补偿删除」按对象 key 形态自动判定。
|
||||
*
|
||||
* <p>只有版本化 key(末段以 UUID 结尾)是本次写入独占的;确定性 key 会被重传重写复用,
|
||||
* 删它就可能删掉别的 DB 行仍在引用的对象(2026-09-17 线上任务 28459 的载荷对象就是这么丢的)。
|
||||
*/
|
||||
public String uploadBytes(String objectKey, byte[] content, boolean verifyAfterUpload) {
|
||||
return uploadBytes(objectKey, content, verifyAfterUpload, isVersionedObjectKey(objectKey));
|
||||
}
|
||||
|
||||
/**
|
||||
* @param compensateDeleteOnFailure put 已完成、但后续可见性校验失败时,是否把该对象排进删除补偿队列。
|
||||
* 仅当调用方能确认「该对象不会被其它写入复用时」才可传 true。
|
||||
*/
|
||||
public String uploadBytes(String objectKey, byte[] content, boolean verifyAfterUpload,
|
||||
boolean compensateDeleteOnFailure) {
|
||||
long deadlineNanos = operationDeadlineNanos();
|
||||
if (!isConfigured()) {
|
||||
throw new IllegalStateException("transient storage is not configured");
|
||||
@@ -129,13 +163,45 @@ public class RustfsObjectStorageService {
|
||||
}
|
||||
return uploadedObjectKey;
|
||||
} catch (RuntimeException ex) {
|
||||
if (putCompleted.get()) {
|
||||
if (putCompleted.get() && compensateDeleteOnFailure) {
|
||||
enqueueDeleteRetry(objectKey, ex);
|
||||
} else if (putCompleted.get()) {
|
||||
// 共享 key 会被重传重写:此处删除可能删掉别的行正在引用的对象,交给保留期清理兜底。
|
||||
// 线上任务 28459 的 chunk-462/473/484 就是被这条无条件删除队列删掉的。
|
||||
log.warn("[rustfs] 跳过上传失败补偿删除(对象非本次独占,可能被复用)objectKey={} err={}",
|
||||
objectKey, ex.getMessage());
|
||||
}
|
||||
throw ex;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 对象 key 是否为「本次写入独占」的版本化 key:末段(去掉 {@code .json} 后缀)以 UUID 结尾。
|
||||
*
|
||||
* <p>只看末段——UUID 出现在中间段(如 scopeHash)不代表该对象被独占;解析失败一律按共享处理
|
||||
* (保守:宁可留下孤儿对象,也不删掉可能仍被引用的对象)。
|
||||
*/
|
||||
static boolean isVersionedObjectKey(String objectKey) {
|
||||
if (objectKey == null) {
|
||||
return false;
|
||||
}
|
||||
String key = objectKey.trim();
|
||||
if (key.endsWith(".json")) {
|
||||
key = key.substring(0, key.length() - ".json".length());
|
||||
}
|
||||
int slash = key.lastIndexOf('/');
|
||||
String lastSegment = slash < 0 ? key : key.substring(slash + 1);
|
||||
if (lastSegment.length() < UUID_STRING_LENGTH) {
|
||||
return false;
|
||||
}
|
||||
try {
|
||||
UUID.fromString(lastSegment.substring(lastSegment.length() - UUID_STRING_LENGTH));
|
||||
return true;
|
||||
} catch (IllegalArgumentException ex) {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
public String readObjectAsString(String objectKey) {
|
||||
byte[] bytes = readObjectBytes(objectKey);
|
||||
return new String(bytes, StandardCharsets.UTF_8);
|
||||
@@ -175,6 +241,43 @@ public class RustfsObjectStorageService {
|
||||
});
|
||||
}
|
||||
|
||||
/**
|
||||
* 列出前缀下的对象 key,按最后修改时间倒序(最新在前)。
|
||||
*
|
||||
* <p>只服务于「指针指向的对象已不存在、需要找回同槽位的版本化兄弟对象」这一兜底路径,
|
||||
* 因此刻意不做重试、不参与失败窗口记账:列出失败直接抛错,由调用方按原错误语义处理。
|
||||
*/
|
||||
public List<String> listObjectKeysNewestFirst(String prefix, int limit) {
|
||||
if (!isConfigured()) {
|
||||
throw new IllegalStateException("transient storage is not configured");
|
||||
}
|
||||
int safeLimit = Math.max(1, Math.min(limit, MAX_SIBLING_LIST_KEYS));
|
||||
long deadlineNanos = operationDeadlineNanos();
|
||||
List<String[]> entries = new ArrayList<>();
|
||||
try {
|
||||
Iterable<Result<Item>> results = buildClient(deadlineNanos).listObjects(ListObjectsArgs.builder()
|
||||
.bucket(properties.getBucket())
|
||||
.prefix(prefix == null ? "" : prefix)
|
||||
.recursive(true)
|
||||
.maxKeys(safeLimit)
|
||||
.build());
|
||||
for (Result<Item> result : results) {
|
||||
Item item = result.get();
|
||||
entries.add(new String[]{item.objectName(),
|
||||
item.lastModified() == null ? "" : item.lastModified().toString()});
|
||||
}
|
||||
} catch (Exception ex) {
|
||||
throw new IllegalStateException("transient storage list failed prefix=" + prefix
|
||||
+ " err=" + ex.getMessage(), ex);
|
||||
}
|
||||
entries.sort((left, right) -> right[1].compareTo(left[1]));
|
||||
List<String> keys = new ArrayList<>(entries.size());
|
||||
for (String[] entry : entries) {
|
||||
keys.add(entry[0]);
|
||||
}
|
||||
return keys;
|
||||
}
|
||||
|
||||
public void deleteObject(String objectKey) {
|
||||
deleteObject(objectKey, true, operationDeadlineNanos());
|
||||
}
|
||||
@@ -238,6 +341,12 @@ public class RustfsObjectStorageService {
|
||||
resetFailureWindow(operation);
|
||||
}
|
||||
recordOperation(operation, "success", elapsedNanos(startedAt));
|
||||
if (attempt > 1) {
|
||||
// 重试后成功必须留 INFO 结论:线上一天上千条 "operation failed, retrying"
|
||||
// 却没有任何结论日志,无法判断这些上传最后到底落盘了没有。
|
||||
log.info("[rustfs] 重试后成功 operation={} objectKey={} attempt={}/{} durationMs={} bytes={}",
|
||||
operation, objectKey, attempt, maxRetries, elapsedMillis(startedAt), bytes);
|
||||
}
|
||||
log.debug("[rustfs] operation success operation={} objectKey={} attempt={}/{} durationMs={} bytes={}",
|
||||
operation, objectKey, attempt, maxRetries, elapsedMillis(startedAt), bytes);
|
||||
return result;
|
||||
@@ -245,6 +354,15 @@ public class RustfsObjectStorageService {
|
||||
last = ex;
|
||||
recordOperation(operation, attempt < maxRetries ? "retry" : "failure", elapsedNanos(startedAt));
|
||||
recordFailure(operation, objectKey, ex);
|
||||
if (isNonRetryable(ex)) {
|
||||
// 确定性错误(NoSuchKey / AccessDenied…):重试多少次结果都一样。
|
||||
// 线上 read 一个已被清理的 chunk 就会连打 3 次请求、还被记成 ERROR。
|
||||
log.warn("[rustfs] 确定性错误,不重试 operation={} objectKey={} err={}",
|
||||
operation, objectKey, ex.getMessage());
|
||||
throw ex instanceof RuntimeException runtimeException
|
||||
? runtimeException
|
||||
: new IllegalStateException(ex);
|
||||
}
|
||||
if (attempt < maxRetries) {
|
||||
delayMillis = retryDelayMillis(attempt);
|
||||
log.warn("[rustfs] operation failed, retrying operation={} objectKey={} attempt={}/{} delayMs={} err={}",
|
||||
@@ -262,6 +380,9 @@ public class RustfsObjectStorageService {
|
||||
operation, objectKey, deadlineNanos);
|
||||
}
|
||||
}
|
||||
// 重试耗尽:留 ERROR 结论 + 最后一次错误,否则只看到一串 retrying,无从判断是否真丢数据
|
||||
log.error("[rustfs] 重试耗尽,最终失败 operation={} objectKey={} maxRetries={} 最后一次错误={}",
|
||||
operation, objectKey, maxRetries, last == null ? "无" : last.getMessage(), last);
|
||||
throw new IllegalStateException("failed to " + operation + " payload in transient storage", last);
|
||||
} finally {
|
||||
if (totalAcquired) {
|
||||
@@ -270,6 +391,27 @@ public class RustfsObjectStorageService {
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 是否为「重试也没用」的确定性错误(NoSuchKey / AccessDenied / 签名错误…)。
|
||||
*
|
||||
* <p>只有网络类与 5xx 类失败才值得重试;确定性错误重试多少次结果都一样。
|
||||
*/
|
||||
private static boolean isNonRetryable(Throwable error) {
|
||||
Throwable cursor = error;
|
||||
while (cursor != null) {
|
||||
if (cursor instanceof ErrorResponseException responseException) {
|
||||
String code = responseException.errorResponse() == null
|
||||
? null
|
||||
: responseException.errorResponse().code();
|
||||
if (code != null && NON_RETRYABLE_S3_CODES.contains(code)) {
|
||||
return true;
|
||||
}
|
||||
}
|
||||
cursor = cursor.getCause();
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
private void acquirePermit(String operation, String objectKey, Semaphore semaphore, long deadlineNanos) {
|
||||
try {
|
||||
checkDeadline(operation, objectKey, deadlineNanos);
|
||||
@@ -336,6 +478,22 @@ public class RustfsObjectStorageService {
|
||||
Math.max(1L, properties.getConnectionPoolKeepAliveMillis()),
|
||||
TimeUnit.MILLISECONDS))
|
||||
.retryOnConnectionFailure(true)
|
||||
.addNetworkInterceptor(chain -> {
|
||||
okhttp3.Request request = chain.request();
|
||||
okhttp3.RequestBody body = request.body();
|
||||
// OkHttp 对「长度为 0 的请求体」不会写 Content-Length,于是请求既无
|
||||
// Content-Length 也无 Transfer-Encoding(HTTP/1.1 不允许这样)。
|
||||
// RustFS 对此直接回 411 Length Required,客户端读到不完整响应就报
|
||||
// unexpected end of stream,进而重试——线上抓包实测 90 秒内 515 次 411,
|
||||
// 而上传空内容(content 为 null/空)在业务里是常态。
|
||||
// 用 network interceptor 在协议层补上该头(普通 interceptor 会被
|
||||
// BridgeInterceptor 按 body 长度覆盖掉,加了也不生效)。
|
||||
if (body != null && body.contentLength() == 0L
|
||||
&& request.header("Content-Length") == null) {
|
||||
request = request.newBuilder().header("Content-Length", "0").build();
|
||||
}
|
||||
return chain.proceed(request);
|
||||
})
|
||||
.build();
|
||||
}
|
||||
return httpClient;
|
||||
|
||||
+9
@@ -1,6 +1,8 @@
|
||||
package com.nanri.aiimage.modules.invalidasin.model.entity;
|
||||
|
||||
import com.baomidou.mybatisplus.annotation.FieldStrategy;
|
||||
import com.baomidou.mybatisplus.annotation.IdType;
|
||||
import com.baomidou.mybatisplus.annotation.TableField;
|
||||
import com.baomidou.mybatisplus.annotation.TableId;
|
||||
import com.baomidou.mybatisplus.annotation.TableName;
|
||||
import lombok.Data;
|
||||
@@ -18,5 +20,12 @@ public class InvalidAsinDataEntity {
|
||||
private Long groupId;
|
||||
private String recordSource;
|
||||
private LocalDateTime createdAt;
|
||||
/**
|
||||
* 更新时间:由数据库维护(DEFAULT CURRENT_TIMESTAMP + ON UPDATE CURRENT_TIMESTAMP)。
|
||||
*
|
||||
* <p>禁止应用显式写:MySQL 在 UPDATE 语句显式给该列赋值时不会触发自动更新,
|
||||
* 而本表写回为 selectById → 改字段 → updateById(实体带着旧值),一旦写回就会冻结更新时间。
|
||||
*/
|
||||
@TableField(value = "updated_at", insertStrategy = FieldStrategy.NEVER, updateStrategy = FieldStrategy.NEVER)
|
||||
private LocalDateTime updatedAt;
|
||||
}
|
||||
|
||||
+3
@@ -29,4 +29,7 @@ public class InvalidAsinDataItemVo {
|
||||
|
||||
@Schema(description = "创建时间")
|
||||
private LocalDateTime createdAt;
|
||||
|
||||
@Schema(description = "更新时间")
|
||||
private LocalDateTime updatedAt;
|
||||
}
|
||||
|
||||
+1
@@ -245,6 +245,7 @@ public class InvalidAsinDataService {
|
||||
vo.setGroupName(groupName == null ? "" : groupName);
|
||||
vo.setRecordSource(isManualRecord(entity) ? RECORD_SOURCE_MANUAL : RECORD_SOURCE_AUTO);
|
||||
vo.setCreatedAt(entity.getCreatedAt());
|
||||
vo.setUpdatedAt(entity.getUpdatedAt());
|
||||
return vo;
|
||||
}
|
||||
}
|
||||
|
||||
+10
-6
@@ -44,23 +44,27 @@ public class MaixiangConsoleClient {
|
||||
return hasText(properties.getPriceTrackApiUrl()) && hasText(properties.getMaixiangConsoleToken());
|
||||
}
|
||||
|
||||
/** 批量任务列表(all_task)。createdBefore 非空时只取创建时间不晚于该时刻的任务(SQL 字符串比较)。 */
|
||||
public BatchTaskPage batchTasks(int status, LocalDateTime createdBefore, int pageSize) {
|
||||
/**
|
||||
* 批量任务列表(all_task)。updateTimeBefore 非空时只取「最后更新」不晚于该时刻的任务
|
||||
* (SQL 字符串比较)。用 update_time 过滤而不是 create_time:desc(id) 分页下按创建时间过滤
|
||||
* 只能看到最新创建的一批,积压深处的老任务(真正停滞的)永远看不到 —— 2026-09-15 滞留漏报的根因。
|
||||
*/
|
||||
public BatchTaskPage batchTasks(int status, LocalDateTime updateTimeBefore, int pageSize) {
|
||||
String url = buildUrl("/api/console/batch/tasks",
|
||||
"status=" + status,
|
||||
"page=1",
|
||||
"page_size=" + pageSize,
|
||||
createdBefore == null ? null : "end_time=" + TIME_FORMAT.format(createdBefore));
|
||||
updateTimeBefore == null ? null : "update_time_end=" + TIME_FORMAT.format(updateTimeBefore));
|
||||
return parseBatchTaskPage(fetch(url, "批量任务列表 status=" + status));
|
||||
}
|
||||
|
||||
/** 单任务列表(task_record)。 */
|
||||
public SingleTaskPage singleTasks(int status, LocalDateTime createdBefore, int pageSize) {
|
||||
/** 单任务列表(task_record)。updateTimeBefore 语义同 {@link #batchTasks(int, LocalDateTime, int)}。 */
|
||||
public SingleTaskPage singleTasks(int status, LocalDateTime updateTimeBefore, int pageSize) {
|
||||
String url = buildUrl("/api/console/tasks",
|
||||
"status=" + status,
|
||||
"page=1",
|
||||
"page_size=" + pageSize,
|
||||
createdBefore == null ? null : "end_time=" + TIME_FORMAT.format(createdBefore));
|
||||
updateTimeBefore == null ? null : "update_time_end=" + TIME_FORMAT.format(updateTimeBefore));
|
||||
return parseSingleTaskPage(fetch(url, "单任务列表 status=" + status));
|
||||
}
|
||||
|
||||
|
||||
+6
-2
@@ -44,20 +44,24 @@ public class AdminNotificationController {
|
||||
|
||||
@GetMapping
|
||||
@Operation(summary = "通知分页列表",
|
||||
description = "onlyUnread=true 时只返回未读;keyword 模糊匹配标题/内容;startDate/endDate 为年月日闭区间。")
|
||||
description = "onlyUnread=true 时只返回未读;keyword 模糊匹配标题/内容;"
|
||||
+ "category 按类型大类筛选(system_error/task_error/config_error/system_notice);"
|
||||
+ "startDate/endDate 为年月日闭区间。")
|
||||
public ApiResponse<NotificationPageVo> page(
|
||||
HttpServletRequest request,
|
||||
@Parameter(description = "页码") @RequestParam(defaultValue = "1") Long page,
|
||||
@Parameter(description = "每页数量") @RequestParam(defaultValue = "20") Long pageSize,
|
||||
@Parameter(description = "只看未读") @RequestParam(required = false, defaultValue = "false") Boolean onlyUnread,
|
||||
@Parameter(description = "关键字(标题/内容)") @RequestParam(required = false) String keyword,
|
||||
@Parameter(description = "类型大类:system_error/task_error/config_error/system_notice")
|
||||
@RequestParam(required = false) String category,
|
||||
@Parameter(description = "起始日期(yyyy-MM-dd,含)")
|
||||
@RequestParam(required = false) @DateTimeFormat(iso = DateTimeFormat.ISO.DATE) LocalDate startDate,
|
||||
@Parameter(description = "结束日期(yyyy-MM-dd,含)")
|
||||
@RequestParam(required = false) @DateTimeFormat(iso = DateTimeFormat.ISO.DATE) LocalDate endDate) {
|
||||
Long userId = currentAdminId(request);
|
||||
return ApiResponse.success(notificationService.page(userId, NotificationService.AUDIENCE_ADMIN,
|
||||
NotificationPageQuery.of(page, pageSize, onlyUnread, keyword, startDate, endDate)));
|
||||
NotificationPageQuery.of(page, pageSize, onlyUnread, keyword, category, startDate, endDate)));
|
||||
}
|
||||
|
||||
@PostMapping("/{id}/read")
|
||||
|
||||
+6
-2
@@ -44,20 +44,24 @@ public class NotificationController {
|
||||
|
||||
@GetMapping
|
||||
@Operation(summary = "通知分页列表",
|
||||
description = "onlyUnread=true 时只返回未读;keyword 模糊匹配标题/内容;startDate/endDate 为年月日闭区间。")
|
||||
description = "onlyUnread=true 时只返回未读;keyword 模糊匹配标题/内容;"
|
||||
+ "category 按类型大类筛选(system_error/task_error/config_error/system_notice);"
|
||||
+ "startDate/endDate 为年月日闭区间。")
|
||||
public ApiResponse<NotificationPageVo> page(
|
||||
HttpServletRequest request,
|
||||
@Parameter(description = "页码") @RequestParam(defaultValue = "1") Long page,
|
||||
@Parameter(description = "每页数量") @RequestParam(defaultValue = "20") Long pageSize,
|
||||
@Parameter(description = "只看未读") @RequestParam(required = false, defaultValue = "false") Boolean onlyUnread,
|
||||
@Parameter(description = "关键字(标题/内容)") @RequestParam(required = false) String keyword,
|
||||
@Parameter(description = "类型大类:system_error/task_error/config_error/system_notice")
|
||||
@RequestParam(required = false) String category,
|
||||
@Parameter(description = "起始日期(yyyy-MM-dd,含)")
|
||||
@RequestParam(required = false) @DateTimeFormat(iso = DateTimeFormat.ISO.DATE) LocalDate startDate,
|
||||
@Parameter(description = "结束日期(yyyy-MM-dd,含)")
|
||||
@RequestParam(required = false) @DateTimeFormat(iso = DateTimeFormat.ISO.DATE) LocalDate endDate) {
|
||||
Long userId = currentUserId(request);
|
||||
return ApiResponse.success(notificationService.page(userId, NotificationService.AUDIENCE_USER,
|
||||
NotificationPageQuery.of(page, pageSize, onlyUnread, keyword, startDate, endDate)));
|
||||
NotificationPageQuery.of(page, pageSize, onlyUnread, keyword, category, startDate, endDate)));
|
||||
}
|
||||
|
||||
@PostMapping("/{id}/read")
|
||||
|
||||
+7
-3
@@ -5,8 +5,9 @@ import lombok.Data;
|
||||
import java.time.LocalDate;
|
||||
|
||||
/**
|
||||
* 通知列表查询条件:分页 + 未读过滤 + 关键字(标题/内容模糊)+ 创建日期区间(年月日闭区间)。
|
||||
* 铃铛面板的「按天搜索」与「内容搜索」都走这里,空值表示不限制。
|
||||
* 通知列表查询条件:分页 + 未读过滤 + 关键字(标题/内容模糊)+ 创建日期区间(年月日闭区间)
|
||||
* + 类型大类(system_error/task_error/config_error/system_notice)。
|
||||
* 铃铛面板的「按天搜索」「内容搜索」「类型筛选」都走这里,空值表示不限制。
|
||||
*/
|
||||
@Data
|
||||
public class NotificationPageQuery {
|
||||
@@ -15,16 +16,19 @@ public class NotificationPageQuery {
|
||||
private Long pageSize;
|
||||
private Boolean onlyUnread;
|
||||
private String keyword;
|
||||
private String category;
|
||||
private LocalDate startDate;
|
||||
private LocalDate endDate;
|
||||
|
||||
public static NotificationPageQuery of(Long page, Long pageSize, Boolean onlyUnread,
|
||||
String keyword, LocalDate startDate, LocalDate endDate) {
|
||||
String keyword, String category,
|
||||
LocalDate startDate, LocalDate endDate) {
|
||||
NotificationPageQuery query = new NotificationPageQuery();
|
||||
query.setPage(page);
|
||||
query.setPageSize(pageSize);
|
||||
query.setOnlyUnread(onlyUnread);
|
||||
query.setKeyword(keyword);
|
||||
query.setCategory(category);
|
||||
query.setStartDate(startDate);
|
||||
query.setEndDate(endDate);
|
||||
return query;
|
||||
|
||||
+2
@@ -11,6 +11,8 @@ public class NotificationItemVo {
|
||||
private Long id;
|
||||
/** 场景:secret_balance/secret_invalid/task_failed/service_down/system */
|
||||
private String scene;
|
||||
/** 类型大类(铃铛筛选用):system_error/task_error/config_error/system_notice */
|
||||
private String category;
|
||||
/** 级别:info/warning/error */
|
||||
private String level;
|
||||
private String title;
|
||||
|
||||
+3
-3
@@ -104,7 +104,7 @@ public class MaixiangAnomalyScanner {
|
||||
}
|
||||
}
|
||||
|
||||
/** 批量任务停滞:创建早于阈值、仍处 status=0/1 且 update_time 不再推进。 */
|
||||
/** 批量任务停滞:最后更新早于阈值、仍处 status=0/1(服务端按 update_time 过滤后取回)。 */
|
||||
void checkStuckBatchTasks(NotificationDispatchService.AdminAudience audience, LocalDateTime now) {
|
||||
int thresholdMinutes = Math.max(1, properties.getMaixiangStuckMinutes());
|
||||
LocalDateTime cutoff = now.minusMinutes(thresholdMinutes);
|
||||
@@ -112,7 +112,7 @@ public class MaixiangAnomalyScanner {
|
||||
for (int status : new int[]{0, 1}) {
|
||||
candidates.addAll(consoleClient.batchTasks(status, cutoff, PAGE_SIZE).items());
|
||||
}
|
||||
// 创建时间早于 cutoff 但仍在正常推进的大任务(update_time 晚于 cutoff)不算停滞
|
||||
// 服务端已按 update_time ≤ cutoff 过滤;这里再兜一层,防止接口参数被忽略时误报正常推进的大任务
|
||||
List<BatchTaskItem> stuck = new ArrayList<>();
|
||||
for (BatchTaskItem task : candidates) {
|
||||
if (task.updateTime() != null && !task.updateTime().isAfter(cutoff)) {
|
||||
@@ -135,7 +135,7 @@ public class MaixiangAnomalyScanner {
|
||||
push(audience, "麦象批量任务停滞", content, "maixiang_stuck_batch:" + now.format(DAY_FORMAT));
|
||||
}
|
||||
|
||||
/** 单任务滞留:创建早于阈值、仍处 status=0/1(跟价等单任务应秒级完成)。 */
|
||||
/** 单任务滞留:最后更新早于阈值、仍处 status=0/1(跟价等单任务应秒级完成)。 */
|
||||
void checkStuckSingleTasks(NotificationDispatchService.AdminAudience audience, LocalDateTime now) {
|
||||
int thresholdMinutes = Math.max(1, properties.getMaixiangSingleStuckMinutes());
|
||||
LocalDateTime cutoff = now.minusMinutes(thresholdMinutes);
|
||||
|
||||
+5
-3
@@ -273,15 +273,17 @@ public class NotificationScanScheduler {
|
||||
"service_down:" + serviceKey + ":" + hour, null);
|
||||
}
|
||||
|
||||
/** 已读通知保留期清理:每天最多一次。 */
|
||||
/** 通知保留期清理:每天最多一次;已读与未读各按自己的保留天数。 */
|
||||
private void cleanupExpiredIfNeeded() {
|
||||
LocalDate today = LocalDate.now();
|
||||
if (today.equals(lastCleanupDate)) {
|
||||
return;
|
||||
}
|
||||
lastCleanupDate = today;
|
||||
LocalDateTime cutoff = LocalDateTime.now().minusDays(Math.max(1, properties.getReadRetentionDays()));
|
||||
notificationService.cleanupReadBefore(cutoff);
|
||||
LocalDateTime readCutoff = LocalDateTime.now().minusDays(Math.max(1, properties.getReadRetentionDays()));
|
||||
notificationService.cleanupReadBefore(readCutoff);
|
||||
LocalDateTime unreadCutoff = LocalDateTime.now().minusDays(Math.max(1, properties.getUnreadRetentionDays()));
|
||||
notificationService.cleanupUnreadBefore(unreadCutoff);
|
||||
}
|
||||
|
||||
private String dedupeKeyOf(BucketKey key) {
|
||||
|
||||
+86
-7
@@ -15,6 +15,7 @@ import org.springframework.stereotype.Service;
|
||||
import java.time.LocalDateTime;
|
||||
import java.util.ArrayList;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
/**
|
||||
* 站内通知存取:桌面端用户(audience=user)与后台管理员(audience=admin)共用一张表,
|
||||
@@ -40,6 +41,27 @@ public class NotificationService {
|
||||
public static final String SCENE_MAIXIANG_ANOMALY = "maixiang_anomaly";
|
||||
public static final String SCENE_SYSTEM = "system";
|
||||
|
||||
/**
|
||||
* 通知大类:scene 太细(技术语义),铃铛按用户看得懂的四类归并筛选。
|
||||
* null/空分类表示不筛选,见 {@link #scenesOfCategory}。
|
||||
*/
|
||||
public static final String CATEGORY_SYSTEM_ERROR = "system_error";
|
||||
public static final String CATEGORY_TASK_ERROR = "task_error";
|
||||
public static final String CATEGORY_CONFIG_ERROR = "config_error";
|
||||
public static final String CATEGORY_SYSTEM_NOTICE = "system_notice";
|
||||
|
||||
/**
|
||||
* scene → 大类。未知 scene(历史遗留或新增未登记)归入「系统通知」,
|
||||
* 保证任一通知只属于一类、筛选项互斥且完备。
|
||||
*/
|
||||
private static final Map<String, String> SCENE_TO_CATEGORY = Map.of(
|
||||
SCENE_SERVICE_DOWN, CATEGORY_SYSTEM_ERROR,
|
||||
SCENE_MAIXIANG_ANOMALY, CATEGORY_SYSTEM_ERROR,
|
||||
SCENE_TASK_FAILED, CATEGORY_TASK_ERROR,
|
||||
SCENE_SECRET_BALANCE, CATEGORY_CONFIG_ERROR,
|
||||
SCENE_SECRET_INVALID, CATEGORY_CONFIG_ERROR,
|
||||
SCENE_SYSTEM, CATEGORY_SYSTEM_NOTICE);
|
||||
|
||||
private static final long MAX_PAGE_SIZE = 100L;
|
||||
private static final int TITLE_MAX_LENGTH = 128;
|
||||
private static final int CONTENT_MAX_LENGTH = 512;
|
||||
@@ -143,12 +165,35 @@ public class NotificationService {
|
||||
vo.setPage(safePage);
|
||||
vo.setPageSize(safeSize);
|
||||
vo.setUnreadCount(unreadCount(userId, audience));
|
||||
log.info("[notification] 列表查询 userId={} audience={} page={} size={} onlyUnread={} keyword={} 起={} 止={} 命中={}",
|
||||
userId, audience, safePage, safeSize, onlyUnread, normalize(safe.getKeyword()),
|
||||
safe.getStartDate(), safe.getEndDate(), total);
|
||||
log.info("[notification] 列表查询 userId={} audience={} page={} size={} onlyUnread={} category={} keyword={} 起={} 止={} 命中={}",
|
||||
userId, audience, safePage, safeSize, onlyUnread, normalize(safe.getCategory()),
|
||||
normalize(safe.getKeyword()), safe.getStartDate(), safe.getEndDate(), total);
|
||||
return vo;
|
||||
}
|
||||
|
||||
/** scene → 用户可见大类;未知 scene(历史遗留/新增未登记)一律归「系统通知」。 */
|
||||
public static String categoryOf(String scene) {
|
||||
return SCENE_TO_CATEGORY.getOrDefault(normalize(scene), CATEGORY_SYSTEM_NOTICE);
|
||||
}
|
||||
|
||||
/**
|
||||
* 大类对应的 scene 集合,供查询侧做 scene IN (...) 过滤。
|
||||
* 空值或未知大类返回空列表,调用方据此跳过该筛选(不报错,避免前端传错值就查不到数据)。
|
||||
*/
|
||||
public static List<String> scenesOfCategory(String category) {
|
||||
String wanted = normalize(category);
|
||||
if (wanted.isEmpty()) {
|
||||
return List.of();
|
||||
}
|
||||
List<String> scenes = new ArrayList<>();
|
||||
for (Map.Entry<String, String> entry : SCENE_TO_CATEGORY.entrySet()) {
|
||||
if (entry.getValue().equals(wanted)) {
|
||||
scenes.add(entry.getKey());
|
||||
}
|
||||
}
|
||||
return scenes;
|
||||
}
|
||||
|
||||
/** 摘要:未读数 + 最新通知 id(前端轮询判断是否有新通知)。 */
|
||||
public NotificationSummaryVo summary(Long userId, String audience) {
|
||||
NotificationSummaryVo vo = new NotificationSummaryVo();
|
||||
@@ -217,6 +262,17 @@ public class NotificationService {
|
||||
return deleted;
|
||||
}
|
||||
|
||||
/** 清理指定时间之前仍未读的通知(保留期由调用方决定,比已读给得更宽)。 */
|
||||
public int cleanupUnreadBefore(LocalDateTime cutoff) {
|
||||
int deleted = userNotificationMapper.delete(new LambdaQueryWrapper<UserNotificationEntity>()
|
||||
.isNull(UserNotificationEntity::getReadAt)
|
||||
.lt(UserNotificationEntity::getCreatedAt, cutoff));
|
||||
if (deleted > 0) {
|
||||
log.info("[notification] 清理历史未读通知 cutoff={} 删除={} 条", cutoff, deleted);
|
||||
}
|
||||
return deleted;
|
||||
}
|
||||
|
||||
private LambdaQueryWrapper<UserNotificationEntity> baseWrapper(Long userId, String audience, boolean onlyUnread,
|
||||
NotificationPageQuery query) {
|
||||
LambdaQueryWrapper<UserNotificationEntity> wrapper = new LambdaQueryWrapper<UserNotificationEntity>()
|
||||
@@ -231,9 +287,11 @@ public class NotificationService {
|
||||
|
||||
/**
|
||||
* 列表筛选:关键字模糊匹配标题/内容;日期按「年月日」闭区间
|
||||
* (起日 00:00 起含、止日次日 00:00 前不含,避免当天 23:59 漏行)。
|
||||
* (起日 00:00 起含、止日次日 00:00 前不含,避免当天 23:59 漏行);
|
||||
* 类型按大类映射成 scene 集合过滤。
|
||||
*/
|
||||
private void applyFilters(LambdaQueryWrapper<UserNotificationEntity> wrapper, NotificationPageQuery query) {
|
||||
applyCategoryFilter(wrapper, query.getCategory());
|
||||
String keyword = normalize(query.getKeyword());
|
||||
if (!keyword.isEmpty()) {
|
||||
wrapper.and(nested -> nested.like(UserNotificationEntity::getTitle, keyword)
|
||||
@@ -247,8 +305,28 @@ public class NotificationService {
|
||||
}
|
||||
}
|
||||
|
||||
private boolean existsByDedupeKey(String dedupeKey) {
|
||||
return selectByDedupeKey(dedupeKey) != null;
|
||||
/**
|
||||
* 类型筛选:「系统通知」是兜底类,除 scene=system 外还要包含所有未登记 scene
|
||||
* (否则直接改库塞入的 scene 在筛选时会凭空消失),故表达为「= system 或 不在其它三类里」;
|
||||
* 未知分类一律不追加条件,避免前端传错值就查不到任何数据。
|
||||
*/
|
||||
private void applyCategoryFilter(LambdaQueryWrapper<UserNotificationEntity> wrapper, String category) {
|
||||
String wanted = normalize(category);
|
||||
List<String> scenes = wanted.isEmpty() ? List.of() : scenesOfCategory(wanted);
|
||||
if (scenes.isEmpty()) {
|
||||
return;
|
||||
}
|
||||
if (CATEGORY_SYSTEM_NOTICE.equals(wanted)) {
|
||||
List<String> classified = new ArrayList<>(SCENE_TO_CATEGORY.keySet());
|
||||
classified.remove(SCENE_SYSTEM);
|
||||
wrapper.and(nested -> nested.eq(UserNotificationEntity::getScene, SCENE_SYSTEM)
|
||||
.or().notIn(UserNotificationEntity::getScene, classified));
|
||||
return;
|
||||
}
|
||||
wrapper.in(UserNotificationEntity::getScene, scenes);
|
||||
}
|
||||
|
||||
private boolean existsByDedupeKey(String dedupeKey) { return selectByDedupeKey(dedupeKey) != null;
|
||||
}
|
||||
|
||||
private UserNotificationEntity selectByDedupeKey(String dedupeKey) {
|
||||
@@ -262,6 +340,7 @@ public class NotificationService {
|
||||
NotificationItemVo vo = new NotificationItemVo();
|
||||
vo.setId(row.getId());
|
||||
vo.setScene(row.getScene());
|
||||
vo.setCategory(categoryOf(row.getScene()));
|
||||
vo.setLevel(row.getLevel());
|
||||
vo.setTitle(row.getTitle());
|
||||
vo.setContent(row.getContent());
|
||||
@@ -271,7 +350,7 @@ public class NotificationService {
|
||||
return vo;
|
||||
}
|
||||
|
||||
private String normalize(String value) {
|
||||
private static String normalize(String value) {
|
||||
return value == null ? "" : value.trim();
|
||||
}
|
||||
|
||||
|
||||
+2
-2
@@ -56,8 +56,8 @@ public class PermissionMenuController {
|
||||
@Operation(summary = "查询菜单权限列表")
|
||||
public ApiResponse<List<PermissionMenuItemVo>> listMenus(HttpServletRequest request,
|
||||
@Parameter(description = "菜单类型: app/admin") @RequestParam(required = false) String menuType) {
|
||||
requireAdmin(request);
|
||||
return ApiResponse.success(permissionMenuService.list(menuType));
|
||||
// 传入操作者:授权树据此把「非超管无权授予」的菜单标记为不可勾选
|
||||
return ApiResponse.success(permissionMenuService.list(requireAdmin(request), menuType));
|
||||
}
|
||||
|
||||
@PostMapping("/permission-menus")
|
||||
|
||||
+9
@@ -1,5 +1,6 @@
|
||||
package com.nanri.aiimage.modules.permission.model.entity;
|
||||
|
||||
import com.baomidou.mybatisplus.annotation.FieldStrategy;
|
||||
import com.baomidou.mybatisplus.annotation.IdType;
|
||||
import com.baomidou.mybatisplus.annotation.TableField;
|
||||
import com.baomidou.mybatisplus.annotation.TableId;
|
||||
@@ -22,4 +23,12 @@ public class PermissionMenuEntity {
|
||||
private String routePath;
|
||||
private Integer sortOrder;
|
||||
private LocalDateTime createdAt;
|
||||
/**
|
||||
* 更新时间(V131 新增):由数据库维护(DEFAULT CURRENT_TIMESTAMP + ON UPDATE CURRENT_TIMESTAMP)。
|
||||
*
|
||||
* <p>禁止应用显式写:MySQL 在 UPDATE 语句显式给该列赋值时不会触发自动更新,
|
||||
* 而本表写回多为 selectById → 改字段 → updateById(实体带着旧值),一旦写回就会冻结更新时间。
|
||||
*/
|
||||
@TableField(value = "updated_at", insertStrategy = FieldStrategy.NEVER, updateStrategy = FieldStrategy.NEVER)
|
||||
private LocalDateTime updatedAt;
|
||||
}
|
||||
|
||||
+8
@@ -24,4 +24,12 @@ public class PermissionMenuItemVo {
|
||||
private Integer sortOrder;
|
||||
@JsonProperty("created_at")
|
||||
private LocalDateTime createdAt;
|
||||
@JsonProperty("updated_at")
|
||||
private LocalDateTime updatedAt;
|
||||
|
||||
/**
|
||||
* 当前操作者能否把该菜单授予他人。仅授权树接口(list)填充;菜单 CRUD 回显等
|
||||
* 其他接口留空,语义为「不限制」。
|
||||
*/
|
||||
private Boolean grantable;
|
||||
}
|
||||
|
||||
+99
-7
@@ -57,8 +57,35 @@ public class PermissionMenuService {
|
||||
|
||||
/** Returns the flat menu catalog, including each item's direct parent ID. */
|
||||
public List<PermissionMenuItemVo> list(String menuType) {
|
||||
return list(null, menuType);
|
||||
}
|
||||
|
||||
/**
|
||||
* 授权树用:非超管只能授予自己已持有的菜单(与 {@link #ensureGrantable} 同一判据),
|
||||
* 这里把结论标进 {@code grantable},让前端把不可授予的节点置灰,避免「勾了才在保存时
|
||||
* 整单被 403 回滚」——创建用户与保存权限共用这一棵树,勾到一个越权项会连建号一起失败。
|
||||
* operator 为空或超管时不限制。
|
||||
*/
|
||||
public List<PermissionMenuItemVo> list(AdminUserEntity operator, String menuType) {
|
||||
List<PermissionMenuEntity> menus = loadMenus(menuType);
|
||||
return toItemVos(menus, menus);
|
||||
List<PermissionMenuItemVo> items = toItemVos(menus, menus);
|
||||
Set<Long> grantableIds = resolveGrantableMenuIds(operator);
|
||||
for (PermissionMenuItemVo item : items) {
|
||||
item.setGrantable(grantableIds == null || grantableIds.contains(item.getId()));
|
||||
}
|
||||
return items;
|
||||
}
|
||||
|
||||
/**
|
||||
* 操作者可授予的菜单 id 全集(自身直接授权 + 其后代)。
|
||||
*
|
||||
* @return null 表示不限制(超管或无操作者)
|
||||
*/
|
||||
private Set<Long> resolveGrantableMenuIds(AdminUserEntity operator) {
|
||||
if (operator == null || operator.getId() == null || isSuperAdmin(operator)) {
|
||||
return null;
|
||||
}
|
||||
return expandDescendantIds(new LinkedHashSet<>(loadDirectColumnIds(operator.getId())), loadMenus(null));
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -262,6 +289,20 @@ public class PermissionMenuService {
|
||||
public List<PermissionMenuItemVo> getUserColumnPermissions(AdminUserEntity operator,
|
||||
Long userId,
|
||||
String menuType) {
|
||||
return getUserColumnPermissions(operator, userId, menuType, false);
|
||||
}
|
||||
|
||||
/**
|
||||
* Controller-facing variant with target-user scope checks.
|
||||
*
|
||||
* <p>includeAncestorGroups=true 时额外把「有可见后代的祖先节点」并入返回集合,仅用于
|
||||
* 后台侧边栏还原二级分组层级(分组自身无页面路由,不代表授权扩展);权限判定与客户端
|
||||
* 「组键命中即整组放行」的权限键集合语义都不受影响,默认 false 保持原行为。</p>
|
||||
*/
|
||||
public List<PermissionMenuItemVo> getUserColumnPermissions(AdminUserEntity operator,
|
||||
Long userId,
|
||||
String menuType,
|
||||
boolean includeAncestorGroups) {
|
||||
AdminUserEntity user = getUserById(userId);
|
||||
ensureTargetAccessible(operator, user);
|
||||
List<PermissionMenuEntity> menus = loadMenus(menuType);
|
||||
@@ -273,8 +314,9 @@ public class PermissionMenuService {
|
||||
return List.of();
|
||||
}
|
||||
Set<Long> effectiveIds = expandDescendantIds(directIds, menus);
|
||||
Set<Long> visibleIds = includeAncestorGroups ? includeAncestorIds(effectiveIds, menus) : effectiveIds;
|
||||
List<PermissionMenuEntity> effectiveMenus = menus.stream()
|
||||
.filter(menu -> menu.getId() != null && effectiveIds.contains(menu.getId()))
|
||||
.filter(menu -> menu.getId() != null && visibleIds.contains(menu.getId()))
|
||||
.toList();
|
||||
return toItemVos(effectiveMenus, menus);
|
||||
}
|
||||
@@ -528,7 +570,7 @@ public class PermissionMenuService {
|
||||
.filter(id -> !protectedIds.contains(id))
|
||||
.toList();
|
||||
}
|
||||
ensureGrantable(operator, grantIds);
|
||||
ensureGrantable(operator, grantIds, userId);
|
||||
LinkedHashSet<Long> finalGrantIds = new LinkedHashSet<>(grantIds);
|
||||
|
||||
if (!protectedIds.isEmpty()) {
|
||||
@@ -724,6 +766,44 @@ public class PermissionMenuService {
|
||||
return effective;
|
||||
}
|
||||
|
||||
/**
|
||||
* 把可见节点沿 parentId 链上的祖先并入集合,仅供后台侧边栏还原「一级分组 + 子页面」
|
||||
* 的展示层级:分组节点无页面路由、不代表授权扩展,权限判定另有独立方法。父链缺失
|
||||
* (孤儿数据)时截断;出现自环/成环时由 visited 兜底终止。
|
||||
*/
|
||||
private Set<Long> includeAncestorIds(Set<Long> effectiveIds, List<PermissionMenuEntity> menus) {
|
||||
Map<Long, PermissionMenuEntity> menuMap = new HashMap<>();
|
||||
for (PermissionMenuEntity menu : menus) {
|
||||
if (menu.getId() != null) {
|
||||
menuMap.put(menu.getId(), menu);
|
||||
}
|
||||
}
|
||||
Set<Long> withAncestors = new LinkedHashSet<>(effectiveIds);
|
||||
int addedCount = 0;
|
||||
for (Long id : effectiveIds) {
|
||||
PermissionMenuEntity current = menuMap.get(id);
|
||||
Set<Long> visited = new HashSet<>();
|
||||
while (current != null && current.getId() != null && visited.add(current.getId())) {
|
||||
Long parentId = current.getParentId();
|
||||
if (parentId == null) {
|
||||
break;
|
||||
}
|
||||
PermissionMenuEntity parent = menuMap.get(parentId);
|
||||
if (parent == null) {
|
||||
break;
|
||||
}
|
||||
if (withAncestors.add(parent.getId())) {
|
||||
addedCount++;
|
||||
}
|
||||
current = parent;
|
||||
}
|
||||
}
|
||||
if (addedCount > 0) {
|
||||
log.debug("[menu-tree-ancestor] 侧边栏树补充祖先分组节点 {} 个(仅展示层级,不改变授权)", addedCount);
|
||||
}
|
||||
return withAncestors;
|
||||
}
|
||||
|
||||
private PermissionMenuEntity getMenuById(Long id) {
|
||||
PermissionMenuEntity entity = permissionMenuMapper.selectById(id);
|
||||
if (entity == null) {
|
||||
@@ -780,14 +860,25 @@ public class PermissionMenuService {
|
||||
}
|
||||
}
|
||||
|
||||
/** Throws 403 when a non-super admin requests grants outside their own effective set. */
|
||||
private void ensureGrantable(AdminUserEntity operator, List<Long> requestedIds) {
|
||||
/**
|
||||
* Throws 403 when a non-super admin **新增** grants outside their own effective set.
|
||||
*
|
||||
* <p>目标用户已持有的直接授权不参与校验:那是既有事实(通常由超管分配),普通管理员
|
||||
* 编辑该用户时整树提交会把它原样带回,若一并判为越权,整笔事务会回滚——连建号、改密
|
||||
* 都做不成(生产 2026-09-16 现象:勾到一个越权项,创建用户与保存权限双双失败)。
|
||||
* 只放行「保留已有」不放行「新增」,因此不构成提权。
|
||||
*/
|
||||
private void ensureGrantable(AdminUserEntity operator, List<Long> requestedIds, Long targetUserId) {
|
||||
if (operator == null || isSuperAdmin(operator)) {
|
||||
return;
|
||||
}
|
||||
List<PermissionMenuEntity> menus = loadMenus(null);
|
||||
Set<Long> effective = expandDescendantIds(new LinkedHashSet<>(loadDirectColumnIds(operator.getId())), menus);
|
||||
// 操作者自身 id 缺失(异常数据)时按「无任何可授予项」从严处理,不放行
|
||||
Set<Long> effective = Objects.requireNonNullElse(resolveGrantableMenuIds(operator), Set.of());
|
||||
Set<Long> keptIds = targetUserId == null
|
||||
? Set.of()
|
||||
: new LinkedHashSet<>(loadDirectColumnIds(targetUserId));
|
||||
Set<Long> denied = requestedIds.stream()
|
||||
.filter(id -> !keptIds.contains(id))
|
||||
.filter(id -> !effective.contains(id))
|
||||
.collect(Collectors.toCollection(LinkedHashSet::new));
|
||||
if (!denied.isEmpty()) {
|
||||
@@ -1069,6 +1160,7 @@ public class PermissionMenuService {
|
||||
vo.setRoutePath(entity.getRoutePath());
|
||||
vo.setSortOrder(entity.getSortOrder());
|
||||
vo.setCreatedAt(entity.getCreatedAt());
|
||||
vo.setUpdatedAt(entity.getUpdatedAt());
|
||||
return vo;
|
||||
}
|
||||
|
||||
|
||||
+18
@@ -2,8 +2,26 @@ package com.nanri.aiimage.modules.pricetrack.mapper;
|
||||
|
||||
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
|
||||
import com.nanri.aiimage.modules.pricetrack.model.entity.PriceTrackLoopRunEntity;
|
||||
import org.apache.ibatis.annotations.Delete;
|
||||
import org.apache.ibatis.annotations.Mapper;
|
||||
import org.apache.ibatis.annotations.Param;
|
||||
|
||||
import java.time.LocalDateTime;
|
||||
|
||||
@Mapper
|
||||
public interface PriceTrackLoopRunMapper extends BaseMapper<PriceTrackLoopRunEntity> {
|
||||
|
||||
/**
|
||||
* 分批删除已结束且超过保留期的循环批次行。
|
||||
*
|
||||
* <p>只删终态行:RUNNING 的批次删了会让后续 dispatch / childFinished 找不到记录。
|
||||
* 时间线用 COALESCE 兜底——终态行本应写 finished_at,历史行可能只有 updated_at。
|
||||
*/
|
||||
@Delete("""
|
||||
DELETE FROM biz_price_track_loop_run
|
||||
WHERE status IN ('SUCCESS', 'FAILED', 'STOPPED')
|
||||
AND COALESCE(finished_at, updated_at, created_at) < #{cutoff}
|
||||
LIMIT #{batchSize}
|
||||
""")
|
||||
int deleteFinishedBefore(@Param("cutoff") LocalDateTime cutoff, @Param("batchSize") int batchSize);
|
||||
}
|
||||
+2
@@ -29,6 +29,8 @@ public class PriceTrackLoopRunEntity {
|
||||
@TableField(value = "active_task_id", updateStrategy = FieldStrategy.ALWAYS)
|
||||
private Long activeTaskId;
|
||||
private Boolean stopRequested;
|
||||
/** 因客户端中断自动重派当前轮的次数:封顶用,避免会话持续不可用时无限重派(V129)。 */
|
||||
private Integer resumeAttempt;
|
||||
private String errorMessage;
|
||||
private LocalDateTime createdAt;
|
||||
private LocalDateTime updatedAt;
|
||||
|
||||
+70
@@ -0,0 +1,70 @@
|
||||
package com.nanri.aiimage.modules.pricetrack.service;
|
||||
|
||||
import com.nanri.aiimage.common.service.DistributedJobLockService;
|
||||
import com.nanri.aiimage.modules.pricetrack.mapper.PriceTrackLoopRunMapper;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.beans.factory.annotation.Value;
|
||||
import org.springframework.scheduling.annotation.Scheduled;
|
||||
import org.springframework.stereotype.Service;
|
||||
|
||||
import java.time.Duration;
|
||||
import java.time.LocalDateTime;
|
||||
|
||||
/**
|
||||
* 跟价循环批次表(biz_price_track_loop_run)的保留期清理。
|
||||
*
|
||||
* <p>每次「循环跟价」插一行,且只在请求停止时更新——全模块此前没有任何删除路径(纯遗漏)。
|
||||
* 读取侧只有两个入口:按 id 取单条(用户当下正在看的那一轮)与「当前是否有活跃循环」,
|
||||
* 没有任何历史列表查询,所以终态批次过了保留期即可安全删除。
|
||||
*
|
||||
* <p>只删终态(SUCCESS/FAILED/STOPPED)行,RUNNING 一律不动——正在跑的循环被删会让
|
||||
* 后续 dispatch / childFinished 找不到记录而中断。
|
||||
*/
|
||||
@Service
|
||||
@RequiredArgsConstructor
|
||||
@Slf4j
|
||||
public class PriceTrackLoopRunRetentionService {
|
||||
|
||||
/** 单轮最多删除的批次数,剩余留给下一轮。 */
|
||||
static final int MAX_BATCHES_PER_RUN = 20;
|
||||
|
||||
private final PriceTrackLoopRunMapper loopRunMapper;
|
||||
private final DistributedJobLockService distributedJobLockService;
|
||||
|
||||
@Value("${aiimage.price-track.loop-run-retention-days:30}")
|
||||
private int retentionDays = 30;
|
||||
|
||||
@Value("${aiimage.price-track.loop-run-retention-batch-size:500}")
|
||||
private int retentionBatchSize = 500;
|
||||
|
||||
@Scheduled(cron = "${aiimage.price-track.loop-run-retention-cron:0 20 4 * * *}")
|
||||
public void purgeExpiredLoopRuns() {
|
||||
int days = Math.max(1, retentionDays);
|
||||
int batchSize = Math.max(50, retentionBatchSize);
|
||||
LocalDateTime cutoff = LocalDateTime.now().minusDays(days);
|
||||
|
||||
DistributedJobLockService.LockHandle lockHandle =
|
||||
distributedJobLockService.tryLock("price-track:loop-run-retention", Duration.ofMinutes(15));
|
||||
if (lockHandle == null) {
|
||||
log.info("[price-track-loop] 批次保留清理跳过:另一实例持锁");
|
||||
return;
|
||||
}
|
||||
try (lockHandle) {
|
||||
int totalDeleted = 0;
|
||||
int batches = 0;
|
||||
while (batches < MAX_BATCHES_PER_RUN) {
|
||||
int deleted = loopRunMapper.deleteFinishedBefore(cutoff, batchSize);
|
||||
batches++;
|
||||
totalDeleted += deleted;
|
||||
if (deleted < batchSize) {
|
||||
break;
|
||||
}
|
||||
}
|
||||
log.info("[price-track-loop] 批次保留清理完成 cutoff={} retentionDays={} deleted={} batches={}",
|
||||
cutoff, days, totalDeleted, batches);
|
||||
} catch (Exception ex) {
|
||||
log.warn("[price-track-loop] 批次保留清理失败 cutoff={} msg={}", cutoff, ex.getMessage(), ex);
|
||||
}
|
||||
}
|
||||
}
|
||||
+47
@@ -39,6 +39,14 @@ public class PriceTrackLoopRunService {
|
||||
private static final String STATUS_STOPPED = "STOPPED";
|
||||
private static final String EXECUTION_MODE_FINITE = "FINITE";
|
||||
private static final String EXECUTION_MODE_INFINITE = "INFINITE";
|
||||
/** 客户端异常中断的任务 errorMessage 前缀(TaskHeartbeatService.markInterrupted 写入)。 */
|
||||
private static final String CLIENT_INTERRUPT_ERROR_PREFIX = "客户端异常中断";
|
||||
/**
|
||||
* 中断后自动重派当前轮的次数上限。
|
||||
* 会话持续不可用(账号被风控、紫鸟未就绪)时,不封顶会无限重派、无限重开浏览器——
|
||||
* 2026-09-18 任务 28587 就是这样白烧了 5 小时。
|
||||
*/
|
||||
private static final int MAX_AUTO_RESUME_ATTEMPT = 3;
|
||||
|
||||
private final PriceTrackLoopRunMapper loopRunMapper;
|
||||
private final FileTaskMapper fileTaskMapper;
|
||||
@@ -259,6 +267,33 @@ public class PriceTrackLoopRunService {
|
||||
entity.setActiveTaskId(null);
|
||||
entity.setUpdatedAt(LocalDateTime.now());
|
||||
if (STATUS_FAILED.equals(task.getStatus())) {
|
||||
// 用户已请求停止时绝不续派:停止意图优先于自动恢复(否则点完停止循环还会自己转起来)
|
||||
if (Boolean.TRUE.equals(entity.getStopRequested())) {
|
||||
markStopped(entity, null);
|
||||
return;
|
||||
}
|
||||
// 客户端重启中断(markInterrupted 写入的前缀)不终止循环:清空 active_task_id 后保持
|
||||
// RUNNING,客户端下次 dispatchNext 会拿到**同一店铺、同一轮次**的 childTaskRequest,
|
||||
// 等于原地续跑——页内已处理的 ASIN 由服务端 skip_asins 去重,不会重复改价。
|
||||
if (isClientInterrupt(task) && currentResumeAttempt(entity) < MAX_AUTO_RESUME_ATTEMPT) {
|
||||
int attempt = currentResumeAttempt(entity) + 1;
|
||||
entity.setStatus(STATUS_RUNNING);
|
||||
entity.setErrorMessage(null);
|
||||
entity.setFinishedAt(null);
|
||||
entity.setResumeAttempt(attempt);
|
||||
loopRunMapper.updateById(entity);
|
||||
log.warn("[price-track-loop] 子任务因客户端中断失败,自动重派当前轮 loopRunId={} childTaskId={} "
|
||||
+ "round={} shopIndex={} resumeAttempt={}/{} error={}",
|
||||
entity.getId(), childTaskId, entity.getCurrentRound(), entity.getCurrentShopIndex(),
|
||||
attempt, MAX_AUTO_RESUME_ATTEMPT, task.getErrorMessage());
|
||||
return;
|
||||
}
|
||||
if (isClientInterrupt(task)) {
|
||||
log.warn("[price-track-loop] 客户端中断续跑已达上限 {} 次,终止循环 loopRunId={} childTaskId={} "
|
||||
+ "round={} shopIndex={}",
|
||||
MAX_AUTO_RESUME_ATTEMPT, entity.getId(), childTaskId,
|
||||
entity.getCurrentRound(), entity.getCurrentShopIndex());
|
||||
}
|
||||
entity.setStatus(STATUS_FAILED);
|
||||
entity.setErrorMessage(task.getErrorMessage() == null || task.getErrorMessage().isBlank()
|
||||
? "子任务执行失败"
|
||||
@@ -269,6 +304,8 @@ public class PriceTrackLoopRunService {
|
||||
entity.getId(), childTaskId, entity.getCurrentRound(), entity.getCurrentShopIndex(), entity.getErrorMessage());
|
||||
return;
|
||||
}
|
||||
// 子任务成功 → 中断续跑计数归零(否则历史上的中断会一直占用封顶额度)
|
||||
entity.setResumeAttempt(0);
|
||||
List<PriceTrackMatchShopsVo.PriceTrackShopQueueItem> items = parseShops(entity);
|
||||
if (items.isEmpty()) {
|
||||
entity.setStatus(STATUS_FAILED);
|
||||
@@ -300,6 +337,16 @@ public class PriceTrackLoopRunService {
|
||||
entity.getId(), childTaskId, entity.getStatus(), entity.getCurrentRound(), entity.getCurrentShopIndex(), entity.getActiveTaskId());
|
||||
}
|
||||
|
||||
/** 子任务失败原因是否为「客户端异常中断」(客户端重启上报,可自动重派续跑)。 */
|
||||
private static boolean isClientInterrupt(FileTaskEntity task) {
|
||||
String message = task == null ? null : task.getErrorMessage();
|
||||
return message != null && message.startsWith(CLIENT_INTERRUPT_ERROR_PREFIX);
|
||||
}
|
||||
|
||||
private static int currentResumeAttempt(PriceTrackLoopRunEntity entity) {
|
||||
return entity.getResumeAttempt() == null ? 0 : entity.getResumeAttempt();
|
||||
}
|
||||
|
||||
private void reconcileWithTerminalChild(PriceTrackLoopRunEntity entity) {
|
||||
if (entity == null || entity.getActiveTaskId() == null || isTerminal(entity.getStatus())) {
|
||||
return;
|
||||
|
||||
+70
-6
@@ -653,13 +653,11 @@ public class PriceTrackTaskService {
|
||||
}
|
||||
changed = true;
|
||||
if (payload.getError() != null && !payload.getError().isBlank()) {
|
||||
markResultFailed(fr, payload.getError());
|
||||
priceTrackTaskCacheService.removeShopMergedPayload(taskId, shopKey);
|
||||
finalizeFailedShop(fr, shopKey, payload, payload.getError());
|
||||
continue;
|
||||
}
|
||||
if (Boolean.FALSE.equals(payload.getSuccess())) {
|
||||
markResultFailed(fr, "shop processing failed");
|
||||
priceTrackTaskCacheService.removeShopMergedPayload(taskId, shopKey);
|
||||
finalizeFailedShop(fr, shopKey, payload, "shop processing failed");
|
||||
continue;
|
||||
}
|
||||
handleSkipAsinDeletionSignals(shopKey, payload);
|
||||
@@ -815,6 +813,39 @@ public class PriceTrackTaskService {
|
||||
updateTaskStatusFromLatestRows(task, latest);
|
||||
}
|
||||
|
||||
/**
|
||||
* 失败店铺的收尾:任务照旧标 FAILED(原因回显给用户),但已经把跑出来的行组装成
|
||||
* 部分结果文件随任务交付——否则用户只看到「失败」,却拿不到「哪些 ASIN 实际已被
|
||||
* 跟价/改价」的记录(会话掉线这类"跑了前几页才断"的场景尤其需要)。
|
||||
*
|
||||
* <p>组装出来的行仍是失败态(success=0 + errorMessage),任务状态因此不变,
|
||||
* 只是多了个可下载的文件;只有一行可用数据都没有时才退化成纯失败。
|
||||
*/
|
||||
private void finalizeFailedShop(FileResultEntity fr, String shopKey,
|
||||
PriceTrackSubmitResultRequest.ShopResult payload, String errorMessage) {
|
||||
String finalMessage = errorMessage;
|
||||
try {
|
||||
PriceTrackSubmitResultRequest.ShopResult merged = mergeShopPayload(fr.getTaskId(), shopKey, payload);
|
||||
int rows = countPayloadRows(merged);
|
||||
if (rows > 0) {
|
||||
markResultFailed(fr, errorMessage);
|
||||
enqueueResultFileAssembly(fr, shopKey, merged, true);
|
||||
priceTrackTaskCacheService.removeShopMergedPayload(fr.getTaskId(), shopKey);
|
||||
log.info("[price-track] 失败店铺仍产出部分结果 taskId={} shop={} rows={} error={}",
|
||||
fr.getTaskId(), shopKey, rows, errorMessage);
|
||||
return;
|
||||
}
|
||||
log.info("[price-track] 失败店铺无可用行,不产出结果文件 taskId={} shop={} error={}",
|
||||
fr.getTaskId(), shopKey, errorMessage);
|
||||
} catch (Exception ex) {
|
||||
log.warn("[price-track] 失败店铺部分结果排队失败,仅标记失败 taskId={} shop={} msg={}",
|
||||
fr.getTaskId(), shopKey, ex.getMessage(), ex);
|
||||
finalMessage = errorMessage + "(部分结果组装排队失败:" + ex.getMessage() + ")";
|
||||
}
|
||||
markResultFailed(fr, finalMessage);
|
||||
priceTrackTaskCacheService.removeShopMergedPayload(fr.getTaskId(), shopKey);
|
||||
}
|
||||
|
||||
private void markResultFailed(FileResultEntity fr, String message) {
|
||||
fr.setSuccess(0);
|
||||
fr.setErrorMessage(message);
|
||||
@@ -841,11 +872,18 @@ public class PriceTrackTaskService {
|
||||
java.io.File workRoot = cn.hutool.core.io.FileUtil.mkdir(
|
||||
cn.hutool.core.io.FileUtil.file(System.getProperty("java.io.tmpdir"), "price-track-result", String.valueOf(result.getTaskId())));
|
||||
java.io.File xlsx = cn.hutool.core.io.FileUtil.file(workRoot, stem + ".xlsx");
|
||||
// 失败店铺的部分结果(errorMessage 已写明原因):组装完成时保留失败态,只挂文件。
|
||||
// 否则组装一落地就把行"洗成成功",用户再也看不到「这个店铺其实没跑完」。
|
||||
boolean partialFailure = result.getErrorMessage() != null && !result.getErrorMessage().isBlank();
|
||||
try {
|
||||
excelAssemblyService.writeWorkbook(xlsx, countries);
|
||||
String objectKey = ossStorageService.uploadResultFile(xlsx, MODULE_TYPE);
|
||||
if (partialFailure) {
|
||||
result.setSuccess(0);
|
||||
} else {
|
||||
result.setSuccess(1);
|
||||
result.setErrorMessage(null);
|
||||
}
|
||||
result.setResultFilename(stem + ".xlsx");
|
||||
result.setResultFileUrl(objectKey);
|
||||
result.setResultFileSize(xlsx.length());
|
||||
@@ -885,9 +923,20 @@ public class PriceTrackTaskService {
|
||||
private void enqueueResultFileAssembly(FileResultEntity result,
|
||||
String shopKey,
|
||||
PriceTrackSubmitResultRequest.ShopResult payload) {
|
||||
enqueueResultFileAssembly(result, shopKey, payload, false);
|
||||
}
|
||||
|
||||
/**
|
||||
* @param preserveFailure 失败店铺的部分结果:保留 success=0 + 失败原因,只把文件挂上去,
|
||||
* 任务状态不变(仍 FAILED),用户仍能下载已跑出来的行
|
||||
*/
|
||||
private void enqueueResultFileAssembly(FileResultEntity result,
|
||||
String shopKey,
|
||||
PriceTrackSubmitResultRequest.ShopResult payload,
|
||||
boolean preserveFailure) {
|
||||
applyServerModifyCounts(result.getTaskId(), payload);
|
||||
taskResultPayloadService.saveLatest(result.getTaskId(), MODULE_TYPE, shopKey, payload);
|
||||
markResultFilePending(result, shopKey, payload);
|
||||
markResultFilePending(result, shopKey, payload, preserveFailure);
|
||||
taskFileJobService.enqueueAssembleResult(result.getTaskId(), MODULE_TYPE, result.getId(), shopKey);
|
||||
}
|
||||
|
||||
@@ -993,15 +1042,24 @@ public class PriceTrackTaskService {
|
||||
|
||||
private void markResultFilePending(FileResultEntity result,
|
||||
String shopKey,
|
||||
PriceTrackSubmitResultRequest.ShopResult payload) {
|
||||
PriceTrackSubmitResultRequest.ShopResult payload,
|
||||
boolean preserveFailure) {
|
||||
Map<String, List<PriceTrackSubmitResultRequest.AsinResult>> countries =
|
||||
excelAssemblyService.normalizeCountriesMap(payload.getCountries());
|
||||
String displayName = payload.getShopName() != null && !payload.getShopName().isBlank()
|
||||
? payload.getShopName().trim()
|
||||
: shopKey;
|
||||
String stem = safeFileStem(displayName);
|
||||
if (preserveFailure) {
|
||||
// 失败店铺的部分结果:成功态与失败原因都不能动,只标「文件名已定、文件待组装」
|
||||
result.setSuccess(0);
|
||||
if (result.getErrorMessage() == null || result.getErrorMessage().isBlank()) {
|
||||
result.setErrorMessage("店铺未跑完,仅产出部分结果");
|
||||
}
|
||||
} else {
|
||||
result.setSuccess(1);
|
||||
result.setErrorMessage(null);
|
||||
}
|
||||
result.setResultFilename(stem + ".xlsx");
|
||||
result.setResultFileUrl(null);
|
||||
result.setResultFileSize(0L);
|
||||
@@ -2164,6 +2222,12 @@ public class PriceTrackTaskService {
|
||||
}
|
||||
ok++;
|
||||
} else if (failed) {
|
||||
// 失败行也可能正在组装"部分结果"文件:文件没落地前不能让任务提前终态,
|
||||
// 否则前端一停轮询,下载按钮永远不出现(失败任务的结果文件同样要能下载)
|
||||
if (isResultAwaitingFileAssembly(fr, jobMap.get(fr.getId()))) {
|
||||
allDone = false;
|
||||
continue;
|
||||
}
|
||||
fail++;
|
||||
allErrors.add(fr.getSourceFilename() + ": " + fr.getErrorMessage());
|
||||
} else {
|
||||
|
||||
+64
-8
@@ -652,9 +652,8 @@ public class ProductRiskTaskService {
|
||||
}
|
||||
matchedShopCount++;
|
||||
if (payload.getError() != null && !payload.getError().isBlank()) {
|
||||
markResultFailed(fr, payload.getError());
|
||||
batchErrors.add(shopKey + ": " + payload.getError());
|
||||
productRiskTaskCacheService.removeShopMergedPayload(taskId, shopKey);
|
||||
finalizeFailedShop(fr, shopKey, mergeShopPayload(taskId, shopKey, payload),
|
||||
payload.getError(), batchErrors);
|
||||
continue;
|
||||
}
|
||||
|
||||
@@ -759,9 +758,8 @@ public class ProductRiskTaskService {
|
||||
}
|
||||
|
||||
if (cachedPayload.getError() != null && !cachedPayload.getError().isBlank()) {
|
||||
markResultFailed(fr, cachedPayload.getError());
|
||||
batchErrors.add(shopKey + ": " + cachedPayload.getError());
|
||||
productRiskTaskCacheService.removeShopMergedPayload(taskId, shopKey);
|
||||
// 陈旧收尾同样保留已跑出来的行:失败原因照常回显,文件顺手组装
|
||||
finalizeFailedShop(fr, shopKey, cachedPayload, cachedPayload.getError(), batchErrors);
|
||||
changed = true;
|
||||
continue;
|
||||
}
|
||||
@@ -852,6 +850,9 @@ public class ProductRiskTaskService {
|
||||
String stem = safeFileStem(displayName);
|
||||
File xlsx = FileUtil.file(workRoot, stem + ".xlsx");
|
||||
File zip = FileUtil.file(workRoot, stem + ".zip");
|
||||
// 失败店铺的部分结果(errorMessage 已写明原因):组装完成时保留失败态,只挂文件。
|
||||
// 否则组装一落地就把行"洗成成功",用户再也看不到「这个店铺其实没跑完」。
|
||||
boolean partialFailure = fr.getErrorMessage() != null && !fr.getErrorMessage().isBlank();
|
||||
try {
|
||||
excelAssemblyService.writeWorkbook(xlsx, displayName, countries);
|
||||
ZipUtil.zip(zip, false, xlsx);
|
||||
@@ -861,8 +862,12 @@ public class ProductRiskTaskService {
|
||||
fr.setResultFileSize(zip.length());
|
||||
fr.setResultContentType(CONTENT_TYPE_ZIP);
|
||||
fr.setRowCount(excelAssemblyService.countRows(countries));
|
||||
if (partialFailure) {
|
||||
fr.setSuccess(0);
|
||||
} else {
|
||||
fr.setSuccess(1);
|
||||
fr.setErrorMessage(null);
|
||||
}
|
||||
fileResultMapper.updateById(fr);
|
||||
} finally {
|
||||
FileUtil.del(xlsx);
|
||||
@@ -899,13 +904,56 @@ public class ProductRiskTaskService {
|
||||
}
|
||||
|
||||
private void enqueueResultFileAssembly(FileResultEntity result, String shopKey, ProductRiskShopPayloadDto payload) {
|
||||
enqueueResultFileAssembly(result, shopKey, payload, false);
|
||||
}
|
||||
|
||||
/**
|
||||
* @param preserveFailure 失败店铺的部分结果:保留 success=0 + 失败原因,只把文件挂上去,
|
||||
* 任务状态不变(仍 FAILED),用户仍能下载已跑出来的行
|
||||
*/
|
||||
private void enqueueResultFileAssembly(FileResultEntity result, String shopKey,
|
||||
ProductRiskShopPayloadDto payload, boolean preserveFailure) {
|
||||
taskResultPayloadService.saveLatest(result.getTaskId(), MODULE_TYPE, shopKey, payload);
|
||||
taskResultItemService.replaceResultSnapshot(result.getTaskId(), MODULE_TYPE, result.getId(), shopKey, payload);
|
||||
markResultFilePending(result, shopKey, payload);
|
||||
markResultFilePending(result, shopKey, payload, preserveFailure);
|
||||
taskFileJobService.enqueueAssembleResult(result.getTaskId(), MODULE_TYPE, result.getId(), shopKey);
|
||||
}
|
||||
|
||||
private void markResultFilePending(FileResultEntity result, String shopKey, ProductRiskShopPayloadDto payload) {
|
||||
/**
|
||||
* 失败店铺的收尾:任务照旧标 FAILED(原因回显给用户),但已经把跑出来的行组装成
|
||||
* 部分结果文件随任务交付——否则用户只看到「失败」,却拿不到「哪些 ASIN 实际已被处理」
|
||||
* 的记录(会话掉线这类"跑了几个国家才断"的场景尤其需要)。一行可用数据都没有时才退化成纯失败。
|
||||
*/
|
||||
private void finalizeFailedShop(FileResultEntity fr, String shopKey,
|
||||
ProductRiskShopPayloadDto mergedPayload, String errorMessage,
|
||||
List<String> batchErrors) {
|
||||
int rows = mergedPayload == null ? 0 : countPayloadRows(mergedPayload);
|
||||
String message = errorMessage;
|
||||
if (rows > 0) {
|
||||
markResultFailed(fr, errorMessage);
|
||||
try {
|
||||
enqueueResultFileAssembly(fr, shopKey, mergedPayload, true);
|
||||
batchErrors.add(shopKey + ": " + errorMessage);
|
||||
productRiskTaskCacheService.removeShopMergedPayload(fr.getTaskId(), shopKey);
|
||||
log.info("[product-risk] 失败店铺仍产出部分结果 taskId={} shop={} rows={} error={}",
|
||||
fr.getTaskId(), shopKey, rows, errorMessage);
|
||||
return;
|
||||
} catch (Exception ex) {
|
||||
message = errorMessage + "(部分结果组装排队失败:" + (ex.getMessage() == null ? "未知错误" : ex.getMessage()) + ")";
|
||||
log.warn("[product-risk] 失败店铺部分结果排队失败,仅标记失败 taskId={} shop={} msg={}",
|
||||
fr.getTaskId(), shopKey, ex.getMessage(), ex);
|
||||
}
|
||||
} else {
|
||||
log.info("[product-risk] 失败店铺无可用行,不产出结果文件 taskId={} shop={} error={}",
|
||||
fr.getTaskId(), shopKey, errorMessage);
|
||||
}
|
||||
markResultFailed(fr, message);
|
||||
batchErrors.add(shopKey + ": " + message);
|
||||
productRiskTaskCacheService.removeShopMergedPayload(fr.getTaskId(), shopKey);
|
||||
}
|
||||
|
||||
private void markResultFilePending(FileResultEntity result, String shopKey,
|
||||
ProductRiskShopPayloadDto payload, boolean preserveFailure) {
|
||||
Map<String, List<ProductRiskRowDto>> countries = excelAssemblyService.normalizeCountriesMap(payload.getCountries());
|
||||
String displayName = payload.getShopName() != null && !payload.getShopName().isBlank()
|
||||
? payload.getShopName().trim()
|
||||
@@ -916,8 +964,16 @@ public class ProductRiskTaskService {
|
||||
result.setResultFileSize(0L);
|
||||
result.setResultContentType(CONTENT_TYPE_ZIP);
|
||||
result.setRowCount(excelAssemblyService.countRows(countries));
|
||||
if (preserveFailure) {
|
||||
// 失败店铺的部分结果:成功态与失败原因都不能动,只标「文件名已定、文件待组装」
|
||||
result.setSuccess(0);
|
||||
if (result.getErrorMessage() == null || result.getErrorMessage().isBlank()) {
|
||||
result.setErrorMessage("店铺未跑完,仅产出部分结果");
|
||||
}
|
||||
} else {
|
||||
result.setSuccess(1);
|
||||
result.setErrorMessage(null);
|
||||
}
|
||||
fileResultMapper.updateById(result);
|
||||
}
|
||||
|
||||
|
||||
+9
-3
@@ -1,6 +1,7 @@
|
||||
package com.nanri.aiimage.modules.publish.controller;
|
||||
|
||||
import com.nanri.aiimage.common.api.ApiResponse;
|
||||
import com.nanri.aiimage.common.security.AdminAuthSupport;
|
||||
import com.nanri.aiimage.modules.publish.model.dto.PublishParseRequest;
|
||||
import com.nanri.aiimage.modules.publish.model.dto.PublishSubmitResultRequest;
|
||||
import com.nanri.aiimage.modules.publish.model.dto.PublishTaskBatchRequest;
|
||||
@@ -14,6 +15,7 @@ import com.nanri.aiimage.modules.publish.service.PublishTaskService;
|
||||
import io.swagger.v3.oas.annotations.Operation;
|
||||
import io.swagger.v3.oas.annotations.Parameter;
|
||||
import io.swagger.v3.oas.annotations.tags.Tag;
|
||||
import jakarta.servlet.http.HttpServletRequest;
|
||||
import jakarta.validation.Valid;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import org.springframework.web.bind.annotation.DeleteMapping;
|
||||
@@ -34,6 +36,7 @@ import com.nanri.aiimage.modules.task.model.vo.TaskProgressLightBatchVo;
|
||||
public class PublishController {
|
||||
|
||||
private final PublishTaskService publishTaskService;
|
||||
private final AdminAuthSupport adminAuthSupport;
|
||||
|
||||
@PostMapping("/parse")
|
||||
@Operation(
|
||||
@@ -57,15 +60,18 @@ public class PublishController {
|
||||
@PostMapping("/tasks/{taskId}/files/{fileId}/activate")
|
||||
@Operation(
|
||||
summary = "激活任务中的单个文件",
|
||||
description = "前端派发 Python 队列前调用。taskId 和 fileId 用于定位文件,user_id 可省略;如传入则校验任务归属。同一任务同一时间只允许一个 RUNNING 文件;重复激活当前 RUNNING 文件为幂等操作。")
|
||||
description = "前端派发 Python 队列前调用。taskId 和 fileId 用于定位文件,user_id 可省略;如传入则校验任务归属。同一任务同一时间只允许一个 RUNNING 文件;重复激活当前 RUNNING 文件为幂等操作。"
|
||||
+ "店铺互斥按 (发起方设备, 店铺) 判定:同一台机器上同一店铺只允许一个任务在跑(该机器上该店铺只有一个紫鸟浏览器会话,并发会互相切换国家);不同设备各自持有独立会话,允许同一店铺并行跑不同国家。"
|
||||
+ "设备号取自 JWT 签名的 deviceId claim,缺失时退回按店铺全局互斥。")
|
||||
public ApiResponse<Void> activateFile(
|
||||
@Parameter(description = "上架任务 ID", required = true, example = "9001")
|
||||
@PathVariable Long taskId,
|
||||
@Parameter(description = "任务内文件 ID", required = true, example = "9101")
|
||||
@PathVariable Long fileId,
|
||||
@Parameter(description = "可选的任务所属用户 ID;省略时由 taskId 反查", required = false, example = "1")
|
||||
@RequestParam(value = "user_id", required = false) Long userId) {
|
||||
publishTaskService.activateFile(taskId, fileId, userId);
|
||||
@RequestParam(value = "user_id", required = false) Long userId,
|
||||
HttpServletRequest request) {
|
||||
publishTaskService.activateFile(taskId, fileId, userId, adminAuthSupport.currentDeviceId(request));
|
||||
return ApiResponse.success(null);
|
||||
}
|
||||
|
||||
|
||||
+2
@@ -20,6 +20,8 @@ public class PublishFileEntity {
|
||||
private Integer matched;
|
||||
private String shopId;
|
||||
private Long matchedUserId;
|
||||
/** 激活该文件时客户端所在设备(JWT 签名的 deviceId);空表示来源不明,按全局店铺互斥保守处理。 */
|
||||
private String deviceId;
|
||||
private String platform;
|
||||
private String companyName;
|
||||
private String matchStatus;
|
||||
|
||||
+97
@@ -0,0 +1,97 @@
|
||||
package com.nanri.aiimage.modules.publish.service;
|
||||
|
||||
import com.nanri.aiimage.common.service.DistributedJobLockService;
|
||||
import com.nanri.aiimage.modules.task.mapper.FileTaskMapper;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.beans.factory.annotation.Value;
|
||||
import org.springframework.scheduling.annotation.Scheduled;
|
||||
import org.springframework.stereotype.Service;
|
||||
|
||||
import java.time.Duration;
|
||||
import java.time.LocalDateTime;
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* 上架任务的保留期清理(2026-09 审核:PUBLISH 的任务历史此前完全没有清理,永久累积)。
|
||||
*
|
||||
* <p>涉及 biz_file_task / biz_file_result / biz_publish_item(每个上传 Excel 的每一行落一行,
|
||||
* 单任务可达数万行)/ biz_publish_file,此前只有用户手动删任务才回收。这里刻意不复用
|
||||
* ModuleHistoryCleanupService:上架单任务行数太大,且删除必须经过业务删除入口回收结果对象。
|
||||
*
|
||||
* <p>删除动作复用 {@link PublishTaskService#deleteTaskForRetention(Long)}(与用户删任务
|
||||
* 同一套删除实现:明细/结果/分片载荷 + 事务提交后回收结果对象),本类只做「查一批过期 id →
|
||||
* 逐个调用 → 计数」。该入口保留状态校验,只删终态任务,PENDING/RUNNING 不会被碰。
|
||||
*
|
||||
* <p>双节点用 job 锁保证单实例执行;每批小批量(默认 50)逐个删,避免单次事务过长。
|
||||
*/
|
||||
@Service
|
||||
@RequiredArgsConstructor
|
||||
@Slf4j
|
||||
public class PublishTaskRetentionService {
|
||||
|
||||
/** 单轮最多处理的批次数(每批 batchSize 个任务),剩余留给下一轮。 */
|
||||
static final int MAX_BATCHES_PER_RUN = 20;
|
||||
|
||||
private final FileTaskMapper fileTaskMapper;
|
||||
private final PublishTaskService publishTaskService;
|
||||
private final DistributedJobLockService distributedJobLockService;
|
||||
|
||||
@Value("${aiimage.publish.task-retention-days:90}")
|
||||
private int retentionDays = 90;
|
||||
|
||||
@Value("${aiimage.publish.task-retention-batch-size:50}")
|
||||
private int retentionBatchSize = 50;
|
||||
|
||||
@Scheduled(cron = "${aiimage.publish.task-retention-cron:0 30 4 * * *}")
|
||||
public void purgeExpiredTasks() {
|
||||
int days = Math.max(1, retentionDays);
|
||||
int batchSize = Math.max(1, retentionBatchSize);
|
||||
LocalDateTime cutoff = LocalDateTime.now().minusDays(days);
|
||||
|
||||
// 单轮 20 批 × 50 个任务的域内删除(含结果对象回收)可能跑较久,锁 TTL 给足 30 分钟
|
||||
DistributedJobLockService.LockHandle lockHandle =
|
||||
distributedJobLockService.tryLock("publish:task-retention", Duration.ofMinutes(30));
|
||||
if (lockHandle == null) {
|
||||
log.info("[publish-retention] 任务保留清理跳过:另一实例持锁");
|
||||
return;
|
||||
}
|
||||
try (lockHandle) {
|
||||
int totalDeleted = 0;
|
||||
int totalFailed = 0;
|
||||
int batches = 0;
|
||||
while (batches < MAX_BATCHES_PER_RUN) {
|
||||
// 只取 id:上架任务行可携带很大的 request_json/result_json,不拉整行
|
||||
List<Long> taskIds = fileTaskMapper.selectExpiredTerminalTaskIds(
|
||||
PublishTaskService.MODULE_TYPE, cutoff, batchSize);
|
||||
if (taskIds.isEmpty()) {
|
||||
break;
|
||||
}
|
||||
batches++;
|
||||
int deletedInBatch = 0;
|
||||
for (Long taskId : taskIds) {
|
||||
try {
|
||||
publishTaskService.deleteTaskForRetention(taskId);
|
||||
deletedInBatch++;
|
||||
} catch (Exception ex) {
|
||||
// 单个任务删除失败只记日志继续:一个坏任务不能卡住整轮
|
||||
log.warn("[publish-retention] 任务删除失败 taskId={} msg={}", taskId, ex.getMessage(), ex);
|
||||
}
|
||||
}
|
||||
totalDeleted += deletedInBatch;
|
||||
totalFailed += taskIds.size() - deletedInBatch;
|
||||
if (deletedInBatch == 0) {
|
||||
log.warn("[publish-retention] 整批任务均删除失败,提前结束本轮以免反复重试同一批");
|
||||
break;
|
||||
}
|
||||
if (taskIds.size() < batchSize) {
|
||||
break;
|
||||
}
|
||||
}
|
||||
log.info("[publish-retention] 任务保留清理完成 cutoff={} retentionDays={} deleted={} failed={} batches={}",
|
||||
cutoff, days, totalDeleted, totalFailed, batches);
|
||||
} catch (Exception ex) {
|
||||
log.warn("[publish-retention] 任务保留清理失败 cutoff={} msg={}", cutoff, ex.getMessage(), ex);
|
||||
}
|
||||
}
|
||||
}
|
||||
+95
-1
@@ -96,6 +96,12 @@ public class PublishTaskService {
|
||||
private static final String STATUS_RUNNING = "RUNNING";
|
||||
private static final String STATUS_SUCCESS = "SUCCESS";
|
||||
private static final String STATUS_FAILED = "FAILED";
|
||||
/**
|
||||
* 保留期清理允许删除的终态集合(与 ModuleHistoryCleanupService 的 TERMINAL_STATUSES 一致)。
|
||||
* PENDING/RUNNING 绝不在此列;PUBLISH 实际只会写 SUCCESS/FAILED,取消态是无害的超集。
|
||||
*/
|
||||
private static final Set<String> RETENTION_TERMINAL_STATUSES =
|
||||
Set.of(STATUS_SUCCESS, STATUS_FAILED, "CANCELLED", "CANCELED");
|
||||
private static final DateTimeFormatter TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
|
||||
|
||||
private final LocalFileStorageService localFileStorageService;
|
||||
@@ -168,7 +174,14 @@ public class PublishTaskService {
|
||||
}
|
||||
}
|
||||
|
||||
public void activateFile(Long taskId, Long fileId, Long userId) {
|
||||
/**
|
||||
* 激活任务中的单个文件。
|
||||
*
|
||||
* @param deviceId 发起方设备标识(JWT 签名的 deviceId claim);空串/空白表示来源不明
|
||||
* (旧客户端 token 无该 claim、内部令牌调用),此时退回全局店铺互斥
|
||||
*/
|
||||
public void activateFile(Long taskId, Long fileId, Long userId, String deviceId) {
|
||||
String device = deviceId == null ? "" : deviceId.trim();
|
||||
try (TaskDistributedLockService.LockHandle lock =
|
||||
taskDistributedLockService.acquire(MODULE_TYPE, taskId)) {
|
||||
if (lock == null) {
|
||||
@@ -192,16 +205,61 @@ public class PublishTaskService {
|
||||
if (runningFile != null) {
|
||||
throw new BusinessException("同一任务已有文件正在执行: " + runningFile.getSourceFilename());
|
||||
}
|
||||
// 店铺级互斥:同一台设备上同一店铺同一时刻只允许一个上架任务在跑。
|
||||
// 2026-09-17 事故(28519/28520/28521 相继提交同一店铺「林洪武」):同一台机器上同一
|
||||
// 店铺被多个任务并发打开,客户端 startBrowser 全部返回 -10000,三个任务一起失败。
|
||||
// 激活是任务真正开跑的唯一入口,在这里挡掉并带出占用中的任务号,用户才知道要等谁。
|
||||
//
|
||||
// 互斥键是 (设备, 店铺) 而不是店铺:紫鸟浏览器会话是**每台机器一份**,不同客户端
|
||||
// 各自持有独立会话,同一家店可以在两台机器上并行跑不同国家(2026-09-18 任务 28624
|
||||
// 在另一台机器上被 28616 误挡)。真正必须串行的是同一台设备——那里只有一个会话,
|
||||
// 两个任务会互相切换国家(add_product.py 的 SwitchingCountries 是会话级状态,任务
|
||||
// 中途断线重连还会再切一次),轻则失败,重则把 A 国家的商品提交进 B 国家的店铺。
|
||||
// 设备号取自 JWT 签名的 deviceId claim;为空(旧客户端 token 无该 claim / 内部令牌
|
||||
// 调用)时退回改动前的全局店铺互斥,保守不放宽。
|
||||
//
|
||||
// 注意:本校验与随后的状态更新之间仍有极小竞态窗口(两个请求恰好同时通过校验);
|
||||
// 真正的串行由客户端店铺锁保证,这一层的目的是尽早给出明确提示,避免白传文件与重复执行。
|
||||
String shopName = file.getShopName();
|
||||
if (shopName != null && !shopName.isBlank()) {
|
||||
LambdaQueryWrapper<PublishFileEntity> shopRunningQuery = new LambdaQueryWrapper<PublishFileEntity>()
|
||||
.eq(PublishFileEntity::getShopName, shopName)
|
||||
.eq(PublishFileEntity::getStatus, STATUS_RUNNING)
|
||||
.ne(PublishFileEntity::getTaskId, taskId)
|
||||
.orderByAsc(PublishFileEntity::getId)
|
||||
.last("limit 1");
|
||||
if (device.isEmpty()) {
|
||||
log.info("[publish] 激活无设备标识,按全局店铺互斥判定 taskId={} fileId={} shop={}",
|
||||
taskId, fileId, shopName);
|
||||
} else {
|
||||
// 本设备的 RUNNING 行,以及设备未知的存量行(旧客户端/内部调用,NULL 或空串)
|
||||
// ——后者无法判断落在哪台机器上,一律保守视为可能同机。
|
||||
shopRunningQuery.and(wrapper -> wrapper
|
||||
.eq(PublishFileEntity::getDeviceId, device)
|
||||
.or().isNull(PublishFileEntity::getDeviceId)
|
||||
.or().eq(PublishFileEntity::getDeviceId, ""));
|
||||
}
|
||||
PublishFileEntity shopRunning = publishFileMapper.selectOne(shopRunningQuery);
|
||||
if (shopRunning != null) {
|
||||
log.warn("[publish] 店铺互斥拦截 taskId={} fileId={} shop={} device={} 占用任务={} 占用设备={}",
|
||||
taskId, fileId, shopName, device,
|
||||
shopRunning.getTaskId(), shopRunning.getDeviceId());
|
||||
throw new BusinessException("店铺「" + shopName + "」已有上架任务正在执行(任务 "
|
||||
+ shopRunning.getTaskId() + "),请等它完成后再提交");
|
||||
}
|
||||
}
|
||||
int updated = publishFileMapper.update(null, new LambdaUpdateWrapper<PublishFileEntity>()
|
||||
.eq(PublishFileEntity::getId, fileId)
|
||||
.eq(PublishFileEntity::getTaskId, taskId)
|
||||
.eq(PublishFileEntity::getStatus, STATUS_PENDING)
|
||||
.set(PublishFileEntity::getStatus, STATUS_RUNNING)
|
||||
.set(PublishFileEntity::getDeviceId, device.isEmpty() ? null : device)
|
||||
.set(PublishFileEntity::getUpdatedAt, LocalDateTime.now())
|
||||
.set(PublishFileEntity::getErrorMessage, null));
|
||||
if (updated <= 0) {
|
||||
throw new BusinessException("文件激活失败,请刷新后重试");
|
||||
}
|
||||
log.info("[publish] 文件激活成功 taskId={} fileId={} shop={} device={}", taskId, fileId, shopName, device);
|
||||
if (STATUS_PENDING.equals(task.getStatus())) {
|
||||
fileTaskMapper.update(null, new LambdaUpdateWrapper<FileTaskEntity>()
|
||||
.eq(FileTaskEntity::getId, taskId)
|
||||
@@ -566,6 +624,37 @@ public class PublishTaskService {
|
||||
@Transactional
|
||||
public void deleteTask(Long taskId, Long userId) {
|
||||
FileTaskEntity task = requireTaskForDeletion(taskId, userId);
|
||||
deleteTaskWithRelatedRows(task);
|
||||
}
|
||||
|
||||
/**
|
||||
* 保留期清理专用删除入口(内部调用,定时任务没有用户身份)。
|
||||
*
|
||||
* <p>与 {@link #deleteTask(Long, Long)} 复用同一套删除实现(明细行/结果记录/分片载荷 +
|
||||
* 事务提交后回收结果对象),仅跳过用户归属校验;状态校验保留 —— 只允许删终态任务,
|
||||
* PENDING/RUNNING 一律不删(正在跑的任务被删会让分片回传、结果组装找不到任务行)。
|
||||
* 行已被删除或非上架任务时幂等跳过,不抛异常。
|
||||
*/
|
||||
@Transactional
|
||||
public void deleteTaskForRetention(Long taskId) {
|
||||
if (taskId == null || taskId <= 0) {
|
||||
throw new BusinessException("taskId 不合法");
|
||||
}
|
||||
FileTaskEntity task = fileTaskMapper.selectById(taskId);
|
||||
if (task == null || !MODULE_TYPE.equals(task.getModuleType())) {
|
||||
log.info("[publish] 保留期删除跳过:任务已不存在或非上架任务 taskId={}", taskId);
|
||||
return;
|
||||
}
|
||||
if (!isRetentionTerminal(task.getStatus())) {
|
||||
log.warn("[publish] 保留期删除跳过非终态任务 taskId={} status={}", taskId, task.getStatus());
|
||||
return;
|
||||
}
|
||||
deleteTaskWithRelatedRows(task);
|
||||
}
|
||||
|
||||
/** 删除任务行与全部关联数据,并在事务提交后回收远端对象(deleteTask 与保留期清理共用)。 */
|
||||
private void deleteTaskWithRelatedRows(FileTaskEntity task) {
|
||||
Long taskId = task.getId();
|
||||
List<FileResultEntity> results = fileResultMapper.selectList(new LambdaQueryWrapper<FileResultEntity>()
|
||||
.eq(FileResultEntity::getTaskId, taskId)
|
||||
.eq(FileResultEntity::getModuleType, MODULE_TYPE));
|
||||
@@ -1953,6 +2042,11 @@ public class PublishTaskService {
|
||||
return STATUS_SUCCESS.equals(status) || STATUS_FAILED.equals(status);
|
||||
}
|
||||
|
||||
/** 保留期清理的终态判定:大小写不敏感,PENDING/RUNNING 一律返回 false。 */
|
||||
private static boolean isRetentionTerminal(String status) {
|
||||
return status != null && RETENTION_TERMINAL_STATUSES.contains(status.trim().toUpperCase(Locale.ROOT));
|
||||
}
|
||||
|
||||
private List<Long> normalizeTaskIds(List<Long> taskIds) {
|
||||
if (taskIds == null) {
|
||||
return List.of();
|
||||
|
||||
+9
@@ -27,6 +27,7 @@ import com.nanri.aiimage.modules.shopdatacrawl.model.vo.ShopDataCrawlTaskBatchVo
|
||||
import com.nanri.aiimage.modules.shopdatacrawl.model.vo.ShopDataCrawlCreateTaskVo;
|
||||
import com.nanri.aiimage.modules.shopdatacrawl.model.vo.ShopDataCrawlHistoryVo;
|
||||
import com.nanri.aiimage.modules.shopdatacrawl.model.vo.ShopDataCrawlResultItemVo;
|
||||
import com.nanri.aiimage.modules.shopdatacrawl.spi.DuplicateCheckRefreshPort;
|
||||
import com.nanri.aiimage.common.model.vo.ProductRiskDashboardVo;
|
||||
import com.nanri.aiimage.modules.task.mapper.FileResultMapper;
|
||||
import com.nanri.aiimage.modules.task.mapper.FileTaskMapper;
|
||||
@@ -121,6 +122,7 @@ public class ShopDataCrawlTaskService {
|
||||
private final InstanceMetadata instanceMetadata;
|
||||
private final ShopDataCrawlDailyFileService dailyFileService;
|
||||
private final ShopDataCrawlItemStoreService shopDataCrawlItemStoreService;
|
||||
private final DuplicateCheckRefreshPort duplicateCheckRefreshPort;
|
||||
private final PlatformTransactionManager transactionManager;
|
||||
private final TaskProgressLightAssembler taskProgressLightAssembler;
|
||||
|
||||
@@ -2116,6 +2118,13 @@ public class ShopDataCrawlTaskService {
|
||||
shopDataCrawlItemStoreService.saveShopBatchFromSnapshot(
|
||||
snapshot.getShopName(), itemBatchDate, accumulatedItems,
|
||||
snapshot.getResultId(), task.getId(), baseDailyFile == null ? null : baseDailyFile.getId());
|
||||
// 明细已落库:请求撞款重扫(异步合并执行,不阻塞归档;端口契约保证不抛错)
|
||||
try {
|
||||
duplicateCheckRefreshPort.requestRefresh("shop-data-crawl:" + snapshot.getShopName());
|
||||
} catch (RuntimeException ex) {
|
||||
log.warn("[shop-data-crawl] 请求撞款重扫失败(忽略,不影响归档) shop={} msg={}",
|
||||
snapshot.getShopName(), ex.getMessage());
|
||||
}
|
||||
int rowCount = excelAssemblyService.writeWorkbook(outputXlsx, accumulatedItems);
|
||||
String objectKey = ossStorageService.uploadResultFile(outputXlsx, MODULE_TYPE);
|
||||
if (blank(objectKey)) {
|
||||
|
||||
+17
@@ -0,0 +1,17 @@
|
||||
package com.nanri.aiimage.modules.shopdatacrawl.spi;
|
||||
|
||||
/**
|
||||
* 采集明细就绪后的撞款重扫触发端口(2026-09:店铺数据采集落库后即时刷新重复检查)。
|
||||
*
|
||||
* <p>实现方在 shopduplicatecheck 模块({@code ShopDataDuplicateCheckScanService})。
|
||||
* 契约:实现必须异步执行、去抖合并,不得阻塞调用方、不得向外抛出异常。
|
||||
*/
|
||||
public interface DuplicateCheckRefreshPort {
|
||||
|
||||
/**
|
||||
* 请求一次撞款重扫(异步;合并窗口内的多次触发聚合为一次扫描)。
|
||||
*
|
||||
* @param reason 触发来源,仅用于日志排查
|
||||
*/
|
||||
void requestRefresh(String reason);
|
||||
}
|
||||
+19
@@ -4,9 +4,13 @@ import com.baomidou.mybatisplus.core.mapper.BaseMapper;
|
||||
import com.nanri.aiimage.modules.shopduplicatecheck.model.dto.ScanLightRowDto;
|
||||
import com.nanri.aiimage.modules.shopduplicatecheck.model.dto.ScanFullRowDto;
|
||||
import com.nanri.aiimage.modules.shopduplicatecheck.model.entity.ShopDataDuplicateScanEntity;
|
||||
import org.apache.ibatis.annotations.Delete;
|
||||
import org.apache.ibatis.annotations.Mapper;
|
||||
import org.apache.ibatis.annotations.Param;
|
||||
import org.apache.ibatis.annotations.Select;
|
||||
|
||||
import java.time.LocalDateTime;
|
||||
|
||||
@Mapper
|
||||
public interface ShopDataDuplicateScanMapper extends BaseMapper<ShopDataDuplicateScanEntity> {
|
||||
|
||||
@@ -20,4 +24,19 @@ public interface ShopDataDuplicateScanMapper extends BaseMapper<ShopDataDuplicat
|
||||
+ "created_at AS createdAt FROM shop_data_duplicate_scan "
|
||||
+ "WHERE status = 'SUCCESS' ORDER BY id DESC LIMIT 1")
|
||||
ScanFullRowDto selectLatestFullRow();
|
||||
|
||||
/** 第 N 新的行 id(offset 从 0 计);行数不足时返回 null,供保留清理计算保护线。 */
|
||||
@Select("SELECT id FROM shop_data_duplicate_scan ORDER BY id DESC LIMIT 1 OFFSET #{offset}")
|
||||
Long selectNthNewestId(@Param("offset") int offset);
|
||||
|
||||
/** 分批删除保留期外、且早于保护线的历史扫描行。 */
|
||||
@Delete("""
|
||||
DELETE FROM shop_data_duplicate_scan
|
||||
WHERE created_at < #{cutoff}
|
||||
AND id < #{protectFromId}
|
||||
LIMIT #{batchSize}
|
||||
""")
|
||||
int deleteOlderThanBatch(@Param("cutoff") LocalDateTime cutoff,
|
||||
@Param("protectFromId") long protectFromId,
|
||||
@Param("batchSize") int batchSize);
|
||||
}
|
||||
|
||||
+32
-2
@@ -9,6 +9,7 @@ import com.nanri.aiimage.modules.shopdatacrawl.model.dto.ShopDataCrawlCountryRes
|
||||
import com.nanri.aiimage.modules.shopdatacrawl.model.dto.ShopDataCrawlRowDto;
|
||||
import com.nanri.aiimage.modules.shopdatacrawl.model.vo.ShopDataCrawlResultItemVo;
|
||||
import com.nanri.aiimage.modules.shopdatacrawl.service.ShopDataCrawlItemStoreService;
|
||||
import com.nanri.aiimage.modules.shopdatacrawl.spi.DuplicateCheckRefreshPort;
|
||||
import com.nanri.aiimage.modules.shopduplicatecheck.mapper.ShopDataDuplicateScanMapper;
|
||||
import com.nanri.aiimage.modules.shopduplicatecheck.mapper.ShopDuplicateCheckItemMapper;
|
||||
import com.nanri.aiimage.modules.shopduplicatecheck.mapper.ShopDuplicateCheckSourceMapper;
|
||||
@@ -21,6 +22,7 @@ import com.nanri.aiimage.modules.shopduplicatecheck.model.entity.ShopDataDuplica
|
||||
import com.nanri.aiimage.modules.shopduplicatecheck.model.payload.DuplicateScanPayload;
|
||||
import com.nanri.aiimage.modules.shopduplicatecheck.model.payload.DuplicateScanSummary;
|
||||
import com.nanri.aiimage.modules.shopduplicatecheck.service.support.DuplicateCheckAggregator;
|
||||
import com.nanri.aiimage.modules.shopduplicatecheck.service.support.DuplicateCheckRefreshScheduler;
|
||||
import com.nanri.aiimage.modules.shopduplicatecheck.service.support.DuplicateCheckWorkbookParser;
|
||||
import com.nanri.aiimage.modules.shopduplicatecheck.service.support.RawRow;
|
||||
import com.nanri.aiimage.modules.shopduplicatecheck.service.support.ShopParsed;
|
||||
@@ -43,14 +45,14 @@ import java.util.Set;
|
||||
import java.util.concurrent.atomic.AtomicLong;
|
||||
|
||||
/**
|
||||
* 撞款扫描:每日 00:00 定时 + force 同步全量重扫。
|
||||
* 撞款扫描:每日 00:00 定时 + force 同步全量重扫 + 采集落库触发的异步合并重扫。
|
||||
* 数据源 = 采集明细表(biz_shop_data_crawl_item,采集先落库再更新文件),
|
||||
* 直接查库聚合 shops/items/summary 落库 shop_data_duplicate_scan(输出契约不变)。
|
||||
* 双实例通过 Redis 分布式锁防重;扫描失败落 FAILED 行并上抛,force 场景由端点转 409/500。
|
||||
*/
|
||||
@Service
|
||||
@Slf4j
|
||||
public class ShopDataDuplicateCheckScanService {
|
||||
public class ShopDataDuplicateCheckScanService implements DuplicateCheckRefreshPort {
|
||||
|
||||
public static final String SCAN_LOCK = "shop-data-duplicate-check:scan";
|
||||
static final DateTimeFormatter SCANNED_AT_FORMAT = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
|
||||
@@ -71,6 +73,9 @@ public class ShopDataDuplicateCheckScanService {
|
||||
private final AtomicLong cachedRowId = new AtomicLong(-1L);
|
||||
private volatile CachedScan cachedScan;
|
||||
|
||||
/** 采集落库触发的异步合并重扫调度器(单飞 + 去抖 + 锁忙重试)。 */
|
||||
private final DuplicateCheckRefreshScheduler refreshScheduler;
|
||||
|
||||
@Autowired
|
||||
public ShopDataDuplicateCheckScanService(ShopDataDuplicateScanMapper scanMapper,
|
||||
ShopDuplicateCheckSourceMapper sourceMapper,
|
||||
@@ -86,6 +91,7 @@ public class ShopDataDuplicateCheckScanService {
|
||||
this.objectMapper = objectMapper;
|
||||
this.itemMapper = itemMapper;
|
||||
this.itemStoreService = itemStoreService;
|
||||
this.refreshScheduler = new DuplicateCheckRefreshScheduler(this::runRefreshOnce);
|
||||
}
|
||||
|
||||
/** 读侧视图:scanned_at 为最新 SUCCESS 行 created_at(yyyy-MM-dd HH:mm:ss)。 */
|
||||
@@ -122,6 +128,30 @@ public class ShopDataDuplicateCheckScanService {
|
||||
}
|
||||
}
|
||||
|
||||
/** 采集明细落库后的重扫请求(端口实现):异步合并执行,不阻塞、不抛错。 */
|
||||
@Override
|
||||
public void requestRefresh(String reason) {
|
||||
refreshScheduler.request(reason);
|
||||
}
|
||||
|
||||
/** 调度器单次扫描动作:锁被占返回 LOCK_BUSY 供其重试;失败只记日志(FAILED 行已落库)。 */
|
||||
private DuplicateCheckRefreshScheduler.Outcome runRefreshOnce() {
|
||||
try {
|
||||
scanNow();
|
||||
return DuplicateCheckRefreshScheduler.Outcome.DONE;
|
||||
} catch (BusinessException ex) {
|
||||
if (ex.getCode() != null && ex.getCode() == 409) {
|
||||
log.info("[shop-duplicate-check] 自动重扫未执行:其它扫描进行中 msg={}", ex.getMessage());
|
||||
return DuplicateCheckRefreshScheduler.Outcome.LOCK_BUSY;
|
||||
}
|
||||
log.warn("[shop-duplicate-check] 自动重扫失败 code={} msg={}", ex.getCode(), ex.getMessage());
|
||||
return DuplicateCheckRefreshScheduler.Outcome.FAILED;
|
||||
} catch (Exception ex) {
|
||||
log.error("[shop-duplicate-check] 自动重扫异常", ex);
|
||||
return DuplicateCheckRefreshScheduler.Outcome.FAILED;
|
||||
}
|
||||
}
|
||||
|
||||
/** 最新 SUCCESS 扫描视图;无扫描结果返回 null。 */
|
||||
public DuplicateScanView loadLatest() {
|
||||
ScanLightRowDto light = scanMapper.selectLatestLightRow();
|
||||
|
||||
+89
@@ -0,0 +1,89 @@
|
||||
package com.nanri.aiimage.modules.shopduplicatecheck.service;
|
||||
|
||||
import com.nanri.aiimage.common.service.DistributedJobLockService;
|
||||
import com.nanri.aiimage.modules.shopduplicatecheck.mapper.ShopDataDuplicateScanMapper;
|
||||
import com.nanri.aiimage.modules.shopduplicatecheck.model.dto.ScanLightRowDto;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.beans.factory.annotation.Value;
|
||||
import org.springframework.scheduling.annotation.Scheduled;
|
||||
import org.springframework.stereotype.Service;
|
||||
|
||||
import java.time.Duration;
|
||||
import java.time.LocalDateTime;
|
||||
|
||||
/**
|
||||
* 撞款扫描结果表(shop_data_duplicate_scan)的保留期清理。
|
||||
*
|
||||
* <p>扫描每晚自动跑一轮、管理员还能手动触发,每次插入一行**含整份聚合 payload 的结果**;
|
||||
* 但读取侧只认最新一行({@code selectLatestLightRow} / {@code selectLatestFullRow} 都是
|
||||
* {@code ORDER BY id DESC LIMIT 1}),历史行纯属占用磁盘,此前无任何删除路径。
|
||||
*
|
||||
* <p>保护策略:无论多旧,始终保留按 id 最新的若干行——
|
||||
* 万一扫描停摆很久,界面上仍能看到最后一份结果,而不是被清理任务顺手抹掉。
|
||||
*/
|
||||
@Service
|
||||
@RequiredArgsConstructor
|
||||
@Slf4j
|
||||
public class ShopDataDuplicateScanRetentionService {
|
||||
|
||||
/** 单轮最多删除的批次数,剩余留给下一轮。 */
|
||||
static final int MAX_BATCHES_PER_RUN = 20;
|
||||
|
||||
/** 无论时间多久都保留的最新行数(最新 SUCCESS 行必然在其中)。 */
|
||||
static final int PROTECTED_ROWS = 10;
|
||||
|
||||
private final ShopDataDuplicateScanMapper scanMapper;
|
||||
private final DistributedJobLockService distributedJobLockService;
|
||||
|
||||
@Value("${aiimage.shop-duplicate-check.scan-retention-days:7}")
|
||||
private int retentionDays = 7;
|
||||
|
||||
@Value("${aiimage.shop-duplicate-check.scan-retention-batch-size:200}")
|
||||
private int retentionBatchSize = 200;
|
||||
|
||||
@Scheduled(cron = "${aiimage.shop-duplicate-check.scan-retention-cron:0 50 3 * * *}")
|
||||
public void purgeExpiredScans() {
|
||||
int days = Math.max(1, retentionDays);
|
||||
int batchSize = Math.max(20, retentionBatchSize);
|
||||
LocalDateTime cutoff = LocalDateTime.now().minusDays(days);
|
||||
|
||||
DistributedJobLockService.LockHandle lockHandle =
|
||||
distributedJobLockService.tryLock("shop-duplicate-check:scan-retention", Duration.ofMinutes(15));
|
||||
if (lockHandle == null) {
|
||||
log.info("[shop-duplicate-check] 扫描结果保留清理跳过:另一实例持锁");
|
||||
return;
|
||||
}
|
||||
try (lockHandle) {
|
||||
// 两条保护线取更靠前(更小)的那个 id——保护线之内的行一律不删:
|
||||
// ① 最新的 PROTECTED_ROWS 行:万一扫描停摆很久,界面上仍能看到最后一份结果;
|
||||
// ② 最新 SUCCESS 行:读侧只认它。连续失败多日时它可能已滑出保护窗口,
|
||||
// 按时间线会被删掉、界面直接空白,所以单独兜一条。
|
||||
Long nthNewestId = scanMapper.selectNthNewestId(PROTECTED_ROWS - 1);
|
||||
ScanLightRowDto latestSuccess = scanMapper.selectLatestLightRow();
|
||||
long protectFromId = minId(nthNewestId, latestSuccess == null ? null : latestSuccess.getId());
|
||||
int totalDeleted = 0;
|
||||
int batches = 0;
|
||||
while (batches < MAX_BATCHES_PER_RUN) {
|
||||
int deleted = scanMapper.deleteOlderThanBatch(cutoff, protectFromId, batchSize);
|
||||
batches++;
|
||||
totalDeleted += deleted;
|
||||
if (deleted < batchSize) {
|
||||
break;
|
||||
}
|
||||
}
|
||||
log.info("[shop-duplicate-check] 扫描结果保留清理完成 cutoff={} retentionDays={} protectFromId={} deleted={} batches={}",
|
||||
cutoff, days, protectFromId, totalDeleted, batches);
|
||||
} catch (Exception ex) {
|
||||
log.warn("[shop-duplicate-check] 扫描结果保留清理失败 cutoff={} msg={}", cutoff, ex.getMessage(), ex);
|
||||
}
|
||||
}
|
||||
|
||||
/** 取两条保护线里更靠前(更小)的 id;都为 null 表示无需保护(等价于不设限)。 */
|
||||
private static long minId(Long first, Long second) {
|
||||
if (first == null) {
|
||||
return second == null ? Long.MAX_VALUE : second;
|
||||
}
|
||||
return second == null ? first : Math.min(first, second);
|
||||
}
|
||||
}
|
||||
+138
@@ -0,0 +1,138 @@
|
||||
package com.nanri.aiimage.modules.shopduplicatecheck.service.support;
|
||||
|
||||
import com.nanri.aiimage.common.util.ThreadPools;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
|
||||
import java.util.concurrent.ExecutorService;
|
||||
import java.util.concurrent.atomic.AtomicBoolean;
|
||||
import java.util.function.Supplier;
|
||||
|
||||
/**
|
||||
* 采集落库触发的撞款重扫调度器:合并窗口去抖 + 单飞 + 锁忙重试。
|
||||
*
|
||||
* <p>语义:{@link #request} 只置位并异步执行,永不阻塞调用方、永不向外抛错;
|
||||
* 合并窗口内的多次触发聚合为一次扫描;扫描动作执行期间到达的触发在下一轮执行;
|
||||
* 扫描因分布式锁被占用未执行({@link Outcome#LOCK_BUSY})时按固定间隔重试有限次。
|
||||
*/
|
||||
@Slf4j
|
||||
public class DuplicateCheckRefreshScheduler {
|
||||
|
||||
/** 单次扫描动作的终态:完成 / 锁被占(可重试)/ 失败(不重试,等下次触发或定时扫描)。 */
|
||||
public enum Outcome {
|
||||
DONE, LOCK_BUSY, FAILED
|
||||
}
|
||||
|
||||
private static final long DEFAULT_DEBOUNCE_MILLIS = 10_000L;
|
||||
private static final long DEFAULT_LOCK_RETRY_MILLIS = 20_000L;
|
||||
private static final int DEFAULT_MAX_LOCK_RETRIES = 6;
|
||||
|
||||
private final Supplier<Outcome> scanAction;
|
||||
private final long debounceMillis;
|
||||
private final long lockRetryMillis;
|
||||
private final int maxLockRetries;
|
||||
private final ExecutorService executor;
|
||||
private final AtomicBoolean pending = new AtomicBoolean(false);
|
||||
private final AtomicBoolean running = new AtomicBoolean(false);
|
||||
|
||||
public DuplicateCheckRefreshScheduler(Supplier<Outcome> scanAction) {
|
||||
this(scanAction, DEFAULT_DEBOUNCE_MILLIS, DEFAULT_LOCK_RETRY_MILLIS, DEFAULT_MAX_LOCK_RETRIES);
|
||||
}
|
||||
|
||||
/** 测试用:注入更短的窗口与重试参数。 */
|
||||
DuplicateCheckRefreshScheduler(Supplier<Outcome> scanAction, long debounceMillis,
|
||||
long lockRetryMillis, int maxLockRetries) {
|
||||
this.scanAction = scanAction;
|
||||
this.debounceMillis = Math.max(0L, debounceMillis);
|
||||
this.lockRetryMillis = Math.max(0L, lockRetryMillis);
|
||||
this.maxLockRetries = Math.max(0, maxLockRetries);
|
||||
this.executor = ThreadPools.boundedFixed("shop-dup-refresh", 1, 8);
|
||||
}
|
||||
|
||||
/** 请求一次重扫(异步、去抖合并)。调用方不被阻塞,也不会收到异常。 */
|
||||
public void request(String reason) {
|
||||
pending.set(true);
|
||||
if (running.compareAndSet(false, true)) {
|
||||
submit(reason);
|
||||
}
|
||||
}
|
||||
|
||||
private void submit(String reason) {
|
||||
try {
|
||||
log.info("[shop-duplicate-check] 触发撞款重扫(异步合并执行,窗口={}ms) reason={}", debounceMillis, reason);
|
||||
executor.execute(this::drain);
|
||||
} catch (Exception ex) {
|
||||
// 提交失败(如线程池拒绝)时复位单飞标记,避免后续触发被永久吞掉
|
||||
running.set(false);
|
||||
log.warn("[shop-duplicate-check] 撞款重扫任务提交失败 reason={} msg={}", reason, ex.getMessage());
|
||||
}
|
||||
}
|
||||
|
||||
private void drain() {
|
||||
try {
|
||||
while (true) {
|
||||
// 合并窗口:窗口内到达的多次触发聚合为同一轮扫描
|
||||
if (!sleepQuietly(debounceMillis)) {
|
||||
return;
|
||||
}
|
||||
if (!pending.compareAndSet(true, false)) {
|
||||
return;
|
||||
}
|
||||
int lockRetries = 0;
|
||||
while (true) {
|
||||
Outcome outcome = runOnceSafely();
|
||||
if (outcome != Outcome.LOCK_BUSY) {
|
||||
break;
|
||||
}
|
||||
if (lockRetries >= maxLockRetries) {
|
||||
log.warn("[shop-duplicate-check] 撞款重扫连续 {} 次未取得扫描锁,放弃本轮(等待下次触发或定时扫描)",
|
||||
lockRetries + 1);
|
||||
break;
|
||||
}
|
||||
lockRetries++;
|
||||
log.info("[shop-duplicate-check] 撞款重扫未取得扫描锁,{}ms 后重试(第 {}/{} 次)",
|
||||
lockRetryMillis, lockRetries, maxLockRetries);
|
||||
if (!sleepQuietly(lockRetryMillis)) {
|
||||
return;
|
||||
}
|
||||
}
|
||||
}
|
||||
} finally {
|
||||
running.set(false);
|
||||
// 竞态兜底:running 复位前到达的触发可能没能提交,补一次
|
||||
if (pending.get() && running.compareAndSet(false, true)) {
|
||||
submit("race-guard");
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/** 执行一次扫描动作;动作自身异常也被吸收(调度器对外零抛出)。 */
|
||||
private Outcome runOnceSafely() {
|
||||
long startedAt = System.currentTimeMillis();
|
||||
try {
|
||||
Outcome outcome = scanAction.get();
|
||||
long elapsed = System.currentTimeMillis() - startedAt;
|
||||
if (outcome == Outcome.DONE) {
|
||||
log.info("[shop-duplicate-check] 采集后自动重扫完成 耗时={}ms", elapsed);
|
||||
} else if (outcome == Outcome.FAILED) {
|
||||
log.warn("[shop-duplicate-check] 采集后自动重扫失败 耗时={}ms", elapsed);
|
||||
}
|
||||
return outcome == null ? Outcome.FAILED : outcome;
|
||||
} catch (Exception ex) {
|
||||
log.error("[shop-duplicate-check] 采集后自动重扫异常", ex);
|
||||
return Outcome.FAILED;
|
||||
}
|
||||
}
|
||||
|
||||
private static boolean sleepQuietly(long millis) {
|
||||
if (millis <= 0) {
|
||||
return true;
|
||||
}
|
||||
try {
|
||||
Thread.sleep(millis);
|
||||
return true;
|
||||
} catch (InterruptedException ex) {
|
||||
Thread.currentThread().interrupt();
|
||||
return false;
|
||||
}
|
||||
}
|
||||
}
|
||||
+8
-1
@@ -1,5 +1,6 @@
|
||||
package com.nanri.aiimage.modules.shopkey.model.entity;
|
||||
|
||||
import com.baomidou.mybatisplus.annotation.FieldStrategy;
|
||||
import com.baomidou.mybatisplus.annotation.IdType;
|
||||
import com.baomidou.mybatisplus.annotation.TableField;
|
||||
import com.baomidou.mybatisplus.annotation.TableId;
|
||||
@@ -39,6 +40,12 @@ public class QueryAsinEntity {
|
||||
@TableField("created_at")
|
||||
private LocalDateTime createdAt;
|
||||
|
||||
@TableField("updated_at")
|
||||
/**
|
||||
* 更新时间:由数据库维护(DEFAULT CURRENT_TIMESTAMP + ON UPDATE CURRENT_TIMESTAMP)。
|
||||
*
|
||||
* <p>禁止应用显式写:本表更新走 selectById → 改字段 → updateById(实体带着旧值),
|
||||
* 显式写回旧值会触发 MySQL 的「显式赋值不自动更新」规则,把更新时间冻结在首次写入时刻。
|
||||
*/
|
||||
@TableField(value = "updated_at", insertStrategy = FieldStrategy.NEVER, updateStrategy = FieldStrategy.NEVER)
|
||||
private LocalDateTime updatedAt;
|
||||
}
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user