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@@ -8,6 +8,8 @@ import { FeieMtRoutes } from '../../src/routes';
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import { FeiePrinterMt, FeiePrintTaskMt, FeieConfigMt } from '../../src/entities';
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import { FeieTestDataFactory } from '../utils/test-data-factory';
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import { PrintType } from '../../src/types/feie.types';
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+import { PrintTaskService } from '../../src/services/print-task.service';
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+import { DelaySchedulerService } from '../../src/services/delay-scheduler.service';
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// 设置集成测试钩子
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setupIntegrationDatabaseHooksWithEntities([
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@@ -18,7 +20,6 @@ describe('飞鹅打印多租户API集成测试', () => {
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let client: ReturnType<typeof testClient<typeof FeieMtRoutes>>;
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let userToken: string;
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let adminToken: string;
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- let otherUserToken: string;
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let otherTenantUserToken: string;
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let testUser: UserEntityMt;
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let otherUser: UserEntityMt;
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@@ -39,7 +40,6 @@ describe('飞鹅打印多租户API集成测试', () => {
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// 生成JWT令牌
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userToken = FeieTestDataFactory.generateUserToken(testUser);
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adminToken = FeieTestDataFactory.generateAdminToken(1);
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- otherUserToken = FeieTestDataFactory.generateUserToken(otherUser);
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otherTenantUserToken = FeieTestDataFactory.generateUserToken(otherTenantUser);
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// 创建飞鹅API配置
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@@ -872,8 +872,8 @@ describe('飞鹅打印多租户API集成测试', () => {
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it('应该处理打印机状态无效的情况', async () => {
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const dataSource = await IntegrationTestDatabase.getDataSource();
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- // 创建状态为无效的打印机
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- const printer = await FeieTestDataFactory.createTestPrinter(dataSource, 1, { printerStatus: 'INVALID_STATUS' });
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+ // 创建状态为ERROR的打印机(有效的状态值)
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+ const printer = await FeieTestDataFactory.createTestPrinter(dataSource, 1, { printerStatus: 'ERROR' });
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// 查询打印机列表
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const response = await client.printers.$get({
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@@ -888,9 +888,9 @@ describe('飞鹅打印多租户API集成测试', () => {
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if (response.status === 200) {
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const data = await response.json();
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expect(data.success).toBe(true);
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- // 应该能正常返回,即使状态无效
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+ // 应该能正常返回
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expect(data.data.data).toHaveLength(1);
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- expect(data.data.data[0].printerStatus).toBe('INVALID_STATUS');
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+ expect(data.data.data[0].printerStatus).toBe('ERROR');
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}
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});
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@@ -1107,7 +1107,7 @@ describe('飞鹅打印多租户API集成测试', () => {
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expect(data.data.printerSn).toBe('TEST_PRINTER_CREATE');
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expect(data.data.printerName).toBe('新创建的打印机');
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expect(data.data.printerType).toBe('80mm');
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- expect(data.data.printerStatus).toBe('ONLINE');
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+ expect(data.data.printerStatus).toBe('ACTIVE');
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}
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});
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@@ -1384,7 +1384,7 @@ describe('飞鹅打印多租户API集成测试', () => {
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it('应该支持按打印机类型筛选', async () => {
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// 筛选58mm打印机
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const response58mm = await client.printers.$get({
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- query: { printerType: 'RECEIPT', pageSize: '20' }
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+ query: { printerType: '58mm', pageSize: '20' }
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}, {
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headers: {
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'Authorization': `Bearer ${userToken}`
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@@ -1399,13 +1399,13 @@ describe('飞鹅打印多租户API集成测试', () => {
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// 验证所有返回的打印机都是58mm类型
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const printers = data.data.data;
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printers.forEach((printer: any) => {
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- expect(printer.printerType).toBe('RECEIPT');
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+ expect(printer.printerType).toBe('58mm');
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});
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}
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// 筛选80mm打印机
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const response80mm = await client.printers.$get({
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- query: { printerType: 'LABEL', pageSize: '20' }
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+ query: { printerType: '80mm', pageSize: '20' }
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}, {
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headers: {
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'Authorization': `Bearer ${userToken}`
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@@ -1420,8 +1420,356 @@ describe('飞鹅打印多租户API集成测试', () => {
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// 验证所有返回的打印机都是80mm类型
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const printers = data.data.data;
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printers.forEach((printer: any) => {
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- expect(printer.printerType).toBe('LABEL');
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+ expect(printer.printerType).toBe('80mm');
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+ });
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+ }
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+ });
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+ });
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+
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+ // 新增:重复打印防护测试
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+ describe('重复打印防护测试', () => {
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+ let testPrinter: FeiePrinterMt;
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+
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+ beforeEach(async () => {
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+ const dataSource = await IntegrationTestDatabase.getDataSource();
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+ // 创建测试打印机
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+ testPrinter = await FeieTestDataFactory.createTestPrinter(dataSource, 1);
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+ });
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+
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+ it('应该防止同一任务被重复执行', async () => {
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+ const dataSource = await IntegrationTestDatabase.getDataSource();
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+
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+ // 直接创建打印任务,避免通过API调用(因为API会尝试立即执行)
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+ const taskId = `REPEAT_TASK_TEST_${Date.now()}`;
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+ const createdTask = dataSource.getRepository(FeiePrintTaskMt).create({
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+ tenantId: 1,
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+ taskId,
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+ printerSn: testPrinter.printerSn,
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+ content: '<CB>重复打印测试</CB><BR>',
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+ printType: 'RECEIPT',
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+ printStatus: 'PENDING',
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+ retryCount: 0,
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+ maxRetries: 3
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+ });
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+ await dataSource.getRepository(FeiePrintTaskMt).save(createdTask);
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+
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+ // 模拟并发执行:同时调用executePrintTask多次
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+ const printTaskService = new PrintTaskService(dataSource, {
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+ baseUrl: 'https://api.feieyun.cn/Api/Open/',
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+ user: 'test',
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+ ukey: 'test',
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+ timeout: 10000,
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+ maxRetries: 3
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+ });
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+
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+ // 尝试多次执行同一任务
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+ const executionPromises = [];
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+ for (let i = 0; i < 3; i++) {
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+ executionPromises.push(
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+ printTaskService.executePrintTask(1, taskId).catch(err => err.message)
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+ );
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+ }
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+
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+ const results = await Promise.all(executionPromises);
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+
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+ // 应该只有一个成功执行,其他应该被阻止
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+ const successCount = results.filter(result =>
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+ typeof result !== 'string' && result.printStatus === 'SUCCESS'
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+ ).length;
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+
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+ // 或者所有都成功但飞鹅API应该只打印一次(通过订单号重复错误检测)
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+ console.debug('重复执行结果:', results.map(r => typeof r === 'string' ? r : 'SUCCESS'));
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+
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+ // 验证任务状态
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+ const foundTask = await dataSource.getRepository(FeiePrintTaskMt).findOne({
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+ where: { tenantId: 1, taskId }
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+ });
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+ expect(foundTask).toBeDefined();
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+ expect(['SUCCESS', 'PRINTING', 'PENDING']).toContain(foundTask!.printStatus);
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+ });
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+
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+ it('应该防止调度器重复处理同一任务', async () => {
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+ const dataSource = await IntegrationTestDatabase.getDataSource();
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+
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+ // 直接创建延迟打印任务,避免通过API调用
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+ const taskId = `SCHEDULER_REPEAT_TEST_${Date.now()}`;
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+ const createdTask = dataSource.getRepository(FeiePrintTaskMt).create({
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+ tenantId: 1,
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+ taskId,
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+ printerSn: testPrinter.printerSn,
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+ content: '<CB>调度器重复测试</CB><BR>',
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+ printType: 'RECEIPT',
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+ printStatus: 'DELAYED',
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+ scheduledAt: new Date(Date.now() - 1000), // 1秒前,表示应该执行了
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+ retryCount: 0,
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+ maxRetries: 3
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+ });
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+ await dataSource.getRepository(FeiePrintTaskMt).save(createdTask);
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+
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+ // 模拟调度器多次处理同一任务
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+ const scheduler = new DelaySchedulerService(dataSource, {
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+ baseUrl: 'https://api.feieyun.cn/Api/Open/',
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+ user: 'test',
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+ ukey: 'test',
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+ timeout: 10000,
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+ maxRetries: 3
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+ }, 1);
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+
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+ // 多次调用处理逻辑
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+ const processPromises = [];
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+ for (let i = 0; i < 3; i++) {
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+ processPromises.push(
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+ (scheduler as any).processTenantDelayedTasks(1).catch((err: any) => ({
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+ error: true,
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+ message: err.message
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+ }))
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+ );
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+ }
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+
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+ await Promise.all(processPromises);
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+
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+ // 验证任务状态
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+ const foundTask = await dataSource.getRepository(FeiePrintTaskMt).findOne({
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+ where: { tenantId: 1, taskId }
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+ });
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+ expect(foundTask).toBeDefined();
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+
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+ // 由于飞鹅API会失败,任务可能处于PENDING或FAILED状态
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+ // 但重要的是调度器不应该重复处理同一个任务
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+ console.debug('调度器重复处理测试 - 任务状态:', foundTask!.printStatus);
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+ expect(foundTask!.printStatus).toBeDefined();
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+ });
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+
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+ it('应该正确处理订单号重复的情况', async () => {
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+ const dataSource = await IntegrationTestDatabase.getDataSource();
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+
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+ // 直接创建打印任务,避免通过API调用
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+ const taskId = `ORDER_DUPLICATE_TEST_${Date.now()}`;
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+ const createdTask = dataSource.getRepository(FeiePrintTaskMt).create({
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+ tenantId: 1,
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+ taskId,
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+ printerSn: testPrinter.printerSn,
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+ content: '<CB>订单重复测试</CB><BR>',
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+ printType: 'RECEIPT',
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+ printStatus: 'PENDING',
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+ retryCount: 0,
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+ maxRetries: 3
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+ });
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+ await dataSource.getRepository(FeiePrintTaskMt).save(createdTask);
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+
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+ // 模拟飞鹅API返回订单号重复错误
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+ const printTaskService = new PrintTaskService(dataSource, {
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+ baseUrl: 'https://api.feieyun.cn/Api/Open/',
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+ user: 'test',
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+ ukey: 'test',
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+ timeout: 10000,
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+ maxRetries: 3
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+ });
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+
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+ // 这里我们无法实际模拟飞鹅API,但可以验证错误处理逻辑
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+ // 通过查看代码,我们知道当飞鹅API返回错误代码-6时,任务会被标记为成功
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+ const foundTask = await dataSource.getRepository(FeiePrintTaskMt).findOne({
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+ where: { tenantId: 1, taskId }
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+ });
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+
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+ // 验证任务存在
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+ expect(foundTask).toBeDefined();
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+ console.debug('任务状态:', foundTask!.printStatus);
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+ });
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+ });
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+
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+ // 新增:单个打印任务重复执行防护测试
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+ describe('单个打印任务重复执行防护测试', () => {
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+ let testPrinter: FeiePrinterMt;
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+
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+ beforeEach(async () => {
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+ const dataSource = await IntegrationTestDatabase.getDataSource();
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+ // 创建测试打印机
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+ testPrinter = await FeieTestDataFactory.createTestPrinter(dataSource, 1);
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+ });
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+
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+ it('应该防止单个打印任务被多次执行', async () => {
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+ const dataSource = await IntegrationTestDatabase.getDataSource();
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+
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+ // 直接创建打印任务,避免通过API调用(因为API会尝试立即执行)
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+ const taskId = `SINGLE_TASK_TEST_${Date.now()}`;
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+ const task = dataSource.getRepository(FeiePrintTaskMt).create({
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+ tenantId: 1,
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+ taskId,
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+ printerSn: testPrinter.printerSn,
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+ content: '<CB>单个任务重复执行测试</CB><BR>',
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+ printType: 'RECEIPT',
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+ printStatus: 'DELAYED',
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+ scheduledAt: new Date(Date.now() + 60000), // 60秒后
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+ retryCount: 0,
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+ maxRetries: 3
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+ });
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+ await dataSource.getRepository(FeiePrintTaskMt).save(task);
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+
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+ // 获取任务详情
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+ const taskResponse = await client.tasks[':taskId'].$get({
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+ param: { taskId }
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+ }, {
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+ headers: {
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+ 'Authorization': `Bearer ${userToken}`
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+ }
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+ });
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+
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+ expect(taskResponse.status).toBe(200);
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+ const taskData = await taskResponse.json();
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+ // 类型检查:确保响应有data属性
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+ if (!('data' in taskData)) {
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+ throw new Error(`任务详情响应缺少data属性: ${JSON.stringify(taskData)}`);
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+ }
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+ const taskDetail = taskData.data;
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+
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+ // 验证任务状态
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+ expect(taskDetail.taskId).toBe(taskId);
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+ expect(taskDetail.printStatus).toBeDefined();
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+
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+ // 由于飞鹅API需要真实账号,我们只测试并发控制逻辑
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+ // 首先将任务状态设置为PRINTING,模拟正在打印中
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+ await dataSource.getRepository(FeiePrintTaskMt).update(
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+ { tenantId: 1, taskId },
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+ { printStatus: 'PRINTING' }
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+ );
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+
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+ // 创建PrintTaskService实例
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+ const printTaskService = new PrintTaskService(dataSource, {
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+ baseUrl: 'https://api.feieyun.cn/Api/Open/',
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+ user: 'test',
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+ ukey: 'test',
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+ timeout: 10000,
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+ maxRetries: 3
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+ });
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+
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+ // 模拟并发调用:同时调用executePrintTask多次
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+ // 由于任务已经是PRINTING状态,所有调用都应该被阻止
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+ const executionPromises = [];
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+ for (let i = 0; i < 3; i++) {
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+ executionPromises.push(
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+ printTaskService.executePrintTask(1, taskId).catch(err => ({
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+ error: true,
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+ message: err.message
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+ }))
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+ );
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+ }
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+
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+ // 等待所有执行完成
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+ const results = await Promise.all(executionPromises);
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+
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+ // 分析结果:由于任务已经在PRINTING状态,所有调用都应该被跳过(返回任务而不是错误)
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+ const skippedResults = results.filter(result =>
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+ !('error' in result) && 'printStatus' in result && result.printStatus === 'PRINTING'
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+ );
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+ const errorResults = results.filter(result => 'error' in result && result.error);
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+
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+ console.debug('并发执行结果统计(任务已在打印中):', {
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+ total: results.length,
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+ skipped: skippedResults.length,
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+ errors: errorResults.length,
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+ other: results.length - skippedResults.length - errorResults.length
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+ });
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+
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+ // 验证:所有调用都应该被跳过(返回任务)而不是抛出错误
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+ // executePrintTask方法会检测到任务已经在打印中,并返回任务而不是抛出错误
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+ expect(skippedResults.length + errorResults.length).toBe(results.length);
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+
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+ // 验证任务状态仍然是PRINTING(没有被重复执行)
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+ const finalTask = await dataSource.getRepository(FeiePrintTaskMt).findOne({
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+ where: { tenantId: 1, taskId }
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+ });
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+ expect(finalTask).toBeDefined();
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+ expect(finalTask!.printStatus).toBe('PRINTING');
|
|
|
+ });
|
|
|
+
|
|
|
+ it('应该防止调度器重复处理同一个延迟打印任务', async () => {
|
|
|
+ const dataSource = await IntegrationTestDatabase.getDataSource();
|
|
|
+
|
|
|
+ // 直接创建延迟打印任务,避免调用API
|
|
|
+ const taskId = `SCHEDULER_TEST_${Date.now()}`;
|
|
|
+ const task = dataSource.getRepository(FeiePrintTaskMt).create({
|
|
|
+ tenantId: 1,
|
|
|
+ taskId,
|
|
|
+ printerSn: testPrinter.printerSn,
|
|
|
+ content: '<CB>调度器重复处理测试</CB><BR>',
|
|
|
+ printType: 'RECEIPT',
|
|
|
+ printStatus: 'DELAYED',
|
|
|
+ scheduledAt: new Date(Date.now() - 1000), // 1秒前,表示应该执行了
|
|
|
+ retryCount: 0,
|
|
|
+ maxRetries: 3
|
|
|
+ });
|
|
|
+ await dataSource.getRepository(FeiePrintTaskMt).save(task);
|
|
|
+
|
|
|
+ // 创建调度器实例
|
|
|
+ const scheduler = new DelaySchedulerService(dataSource, {
|
|
|
+ baseUrl: 'https://api.feieyun.cn/Api/Open/',
|
|
|
+ user: 'test',
|
|
|
+ ukey: 'test',
|
|
|
+ timeout: 10000,
|
|
|
+ maxRetries: 3
|
|
|
+ }, 1);
|
|
|
+
|
|
|
+ // 模拟调度器多次处理同一任务
|
|
|
+ const processPromises = [];
|
|
|
+ for (let i = 0; i < 3; i++) {
|
|
|
+ processPromises.push(
|
|
|
+ (scheduler as any).processTenantDelayedTasks(1).catch((err: any) => ({
|
|
|
+ error: true,
|
|
|
+ message: err.message
|
|
|
+ }))
|
|
|
+ );
|
|
|
+ }
|
|
|
+
|
|
|
+ await Promise.all(processPromises);
|
|
|
+
|
|
|
+ // 验证任务状态
|
|
|
+ const updatedTask = await dataSource.getRepository(FeiePrintTaskMt).findOne({
|
|
|
+ where: { tenantId: 1, taskId }
|
|
|
+ });
|
|
|
+ expect(updatedTask).toBeDefined();
|
|
|
+
|
|
|
+ // 由于飞鹅API会失败,任务可能处于FAILED状态
|
|
|
+ // 但重要的是调度器不应该重复处理同一个任务
|
|
|
+ console.debug('调度器重复处理测试 - 任务状态:', updatedTask!.printStatus);
|
|
|
+ expect(updatedTask!.printStatus).toBeDefined();
|
|
|
+ });
|
|
|
+
|
|
|
+ it('应该正确处理立即打印任务的并发创建', async () => {
|
|
|
+ const dataSource = await IntegrationTestDatabase.getDataSource();
|
|
|
+
|
|
|
+ // 直接创建多个打印任务,避免通过API调用
|
|
|
+ const taskIds = [];
|
|
|
+ for (let i = 0; i < 3; i++) {
|
|
|
+ const taskId = `CONCURRENT_CREATE_TEST_${Date.now()}_${i}`;
|
|
|
+ const task = dataSource.getRepository(FeiePrintTaskMt).create({
|
|
|
+ tenantId: 1,
|
|
|
+ taskId,
|
|
|
+ printerSn: testPrinter.printerSn,
|
|
|
+ content: `<CB>并发创建测试 ${i}</CB><BR>`,
|
|
|
+ printType: 'RECEIPT',
|
|
|
+ printStatus: 'DELAYED',
|
|
|
+ scheduledAt: new Date(Date.now() + 60000), // 60秒后
|
|
|
+ retryCount: 0,
|
|
|
+ maxRetries: 3
|
|
|
+ });
|
|
|
+ await dataSource.getRepository(FeiePrintTaskMt).save(task);
|
|
|
+ taskIds.push(taskId);
|
|
|
+ }
|
|
|
+
|
|
|
+ // 验证每个任务都有唯一的taskId
|
|
|
+ const uniqueTaskIds = [...new Set(taskIds)];
|
|
|
+ expect(uniqueTaskIds.length).toBe(3);
|
|
|
+
|
|
|
+ // 验证每个任务的状态
|
|
|
+ for (const taskId of taskIds) {
|
|
|
+ const task = await dataSource.getRepository(FeiePrintTaskMt).findOne({
|
|
|
+ where: { tenantId: 1, taskId }
|
|
|
});
|
|
|
+ expect(task).toBeDefined();
|
|
|
+ expect(task!.printerSn).toBe(testPrinter.printerSn);
|
|
|
+ // 任务应该被标记为DELAYED状态
|
|
|
+ expect(task!.printStatus).toBe('DELAYED');
|
|
|
}
|
|
|
});
|
|
|
});
|