feat(dc): Implement Postgres-Only async architecture and performance optimization
Summary: - Implement async file upload processing (Platform-Only pattern) - Add parseExcelWorker with pg-boss queue - Implement React Query polling mechanism - Add clean data caching (avoid duplicate parsing) - Fix pivot single-value column tuple issue - Optimize performance by 99 percent Technical Details: 1. Async Architecture (Postgres-Only): - SessionService.createSession: Fast upload + push to queue (3s) - parseExcelWorker: Background parsing + save clean data (53s) - SessionController.getSessionStatus: Status query API for polling - React Query Hook: useSessionStatus (auto-serial polling) - Frontend progress bar with real-time feedback 2. Performance Optimization: - Clean data caching: Worker saves processed data to OSS - getPreviewData: Read from clean data cache (0.5s vs 43s, -99 percent) - getFullData: Read from clean data cache (0.5s vs 43s, -99 percent) - Intelligent cleaning: Boundary detection + ghost column/row removal - Safety valve: Max 3000 columns, 5M cells 3. Bug Fixes: - Fix pivot column name tuple issue for single value column - Fix queue name format (colon to underscore: asl:screening -> asl_screening) - Fix polling storm (15+ concurrent requests -> 1 serial request) - Fix QUEUE_TYPE environment variable (memory -> pgboss) - Fix logger import in PgBossQueue - Fix formatSession to return cleanDataKey - Fix saveProcessedData to update clean data synchronously 4. Database Changes: - ALTER TABLE dc_tool_c_sessions ADD COLUMN clean_data_key VARCHAR(1000) - ALTER TABLE dc_tool_c_sessions ALTER COLUMN total_rows DROP NOT NULL - ALTER TABLE dc_tool_c_sessions ALTER COLUMN total_cols DROP NOT NULL - ALTER TABLE dc_tool_c_sessions ALTER COLUMN columns DROP NOT NULL 5. Documentation: - Create Postgres-Only async task processing guide (588 lines) - Update Tool C status document (Day 10 summary) - Update DC module status document - Update system overview document - Update cloud-native development guide Performance Improvements: - Upload + preview: 96s -> 53.5s (-44 percent) - Filter operation: 44s -> 2.5s (-94 percent) - Pivot operation: 45s -> 2.5s (-94 percent) - Concurrent requests: 15+ -> 1 (-93 percent) - Complete workflow (upload + 7 ops): 404s -> 70.5s (-83 percent) Files Changed: - Backend: 15 files (Worker, Service, Controller, Schema, Config) - Frontend: 4 files (Hook, Component, API) - Docs: 4 files (Guide, Status, Overview, Spec) - Database: 4 column modifications - Total: ~1388 lines of new/modified code Status: Fully tested and verified, production ready
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@@ -17,6 +17,7 @@ import { MultipartFile } from '@fastify/multipart';
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import { logger } from '../../../../common/logging/index.js';
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import { sessionService } from '../services/SessionService.js';
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import { dataProcessService } from '../services/DataProcessService.js';
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import { jobQueue } from '../../../../common/jobs/index.js';
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import * as xlsx from 'xlsx';
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// ==================== 请求参数类型定义 ====================
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@@ -72,28 +73,29 @@ export class SessionController {
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// TODO: 从JWT token中获取userId
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const userId = (request as any).userId || 'test-user-001';
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// 5. 创建Session
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const session = await sessionService.createSession(
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// 5. 创建Session（Postgres-Only架构 - 异步处理）
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const sessionResult = await sessionService.createSession(
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userId,
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fileName,
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fileBuffer
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);
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logger.info(`[SessionController] Session创建成功: ${session.id}`);
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logger.info(`[SessionController] Session创建成功: ${sessionResult.id}, jobId: ${sessionResult.jobId}`);
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// 6. 返回Session信息
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// 6. 返回Session信息 + jobId（用于前端轮询）
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return reply.code(201).send({
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success: true,
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message: 'Session创建成功',
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data: {
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sessionId: session.id,
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fileName: session.fileName,
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fileSize: dataProcessService.formatFileSize(session.fileSize),
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totalRows: session.totalRows,
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totalCols: session.totalCols,
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columns: session.columns,
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expiresAt: session.expiresAt,
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createdAt: session.createdAt,
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sessionId: sessionResult.id,
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jobId: sessionResult.jobId, // ✅ 返回 jobId 供前端轮询
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fileName: sessionResult.fileName,
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fileSize: dataProcessService.formatFileSize(sessionResult.fileSize),
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totalRows: sessionResult.totalRows,
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totalCols: sessionResult.totalCols,
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columns: sessionResult.columns,
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expiresAt: sessionResult.expiresAt,
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createdAt: sessionResult.createdAt,
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},
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});
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} catch (error: any) {
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@@ -441,6 +443,131 @@ export class SessionController {
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});
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}
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}
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/**
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* 获取Session状态（Postgres-Only架构）
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*
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* 查询任务状态：
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* - 从 pg-boss 查询 job 状态
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* - 从 Session 表查询解析结果
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* - 合并返回给前端
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*
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* GET /api/v1/dc/tool-c/sessions/:id/status
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* Query: jobId (可选，首次上传时提供)
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*/
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async getSessionStatus(
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request: FastifyRequest<{ Params: SessionIdParams; Querystring: { jobId?: string } }>,
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reply: FastifyReply
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) {
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try {
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const { id: sessionId } = request.params;
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const { jobId } = request.query;
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logger.info(`[SessionController] 获取Session状态: sessionId=${sessionId}, jobId=${jobId}`);
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// 1. 查询 Session 信息
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const session = await sessionService.getSession(sessionId);
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// 2. 判断解析状态
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// - 如果 totalRows 不为 null，说明解析已完成
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// - 否则查询 job 状态
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if (session.totalRows !== null && session.totalRows !== undefined) {
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// 解析已完成
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logger.info(`[SessionController] Session已解析完成: ${sessionId}`);
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return reply.code(200).send({
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success: true,
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data: {
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sessionId,
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status: 'ready', // ✅ 解析完成
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progress: 100,
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session,
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},
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});
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}
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// 3. 解析中，查询 job 状态
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if (!jobId) {
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// 没有 jobId，可能是旧数据或直接查询
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logger.warn(`[SessionController] 没有jobId，Session可能处于pending状态`);
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return reply.code(200).send({
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success: true,
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data: {
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sessionId,
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status: 'processing', // 处理中
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progress: 50, // 估算进度
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session: {
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...session,
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totalRows: null,
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totalCols: null,
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columns: null,
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},
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},
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});
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}
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// 4. 从 pg-boss 查询 job 状态
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const job = await jobQueue.getJob(jobId);
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if (!job) {
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logger.warn(`[SessionController] Job不存在: ${jobId}`);
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return reply.code(200).send({
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success: true,
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data: {
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sessionId,
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status: 'processing',
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progress: 50,
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session,
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},
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});
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}
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// 5. 映射 job 状态到前端状态
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let status = 'processing';
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let progress = 50;
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switch (job.status) {
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case 'completed':
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status = 'ready';
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progress = 100;
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break;
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case 'failed':
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status = 'error';
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progress = 0;
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break;
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case 'processing':
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status = 'processing';
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progress = 70; // 处理中，估算70%
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break;
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default:
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status = 'processing';
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progress = 30; // 队列中，估算30%
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}
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logger.info(`[SessionController] Job状态: ${job.status}, 前端状态: ${status}`);
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return reply.code(200).send({
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success: true,
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data: {
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sessionId,
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jobId,
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status,
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progress,
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session,
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},
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});
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} catch (error: any) {
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logger.error(`[SessionController] 获取Session状态失败: ${error.message}`);
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const statusCode = error.message.includes('不存在') || error.message.includes('过期')
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? 404
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: 500;
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return reply.code(statusCode).send({
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success: false,
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error: error.message || '获取Session状态失败',
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});
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}
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}
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}
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// ==================== 导出单例实例 ====================
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