HaHafeng
96290d2f76
Sprint 1-3 Completed (Backend + Frontend): Backend (Sprint 1-2): - Implement 5-layer Agent framework (Query->Planner->Executor->Tools->Reflection) - Create agent_schema with 6 tables (agent_definitions, stages, prompts, sessions, traces, reflexion_rules) - Create protocol_schema with 2 tables (protocol_contexts, protocol_generations) - Implement Protocol Agent core services (Orchestrator, ContextService, PromptBuilder) - Integrate LLM service adapter (DeepSeek/Qwen/GPT-5/Claude) - 6 API endpoints with full authentication - 10/10 API tests passed Frontend (Sprint 3): - Add Protocol Agent entry in AgentHub (indigo theme card) - Implement ProtocolAgentPage with 3-column layout - Collapsible sidebar (Gemini style, 48px <-> 280px) - StatePanel with 5 stage cards (scientific_question, pico, study_design, sample_size, endpoints) - ChatArea with sync button and action cards integration - 100% prototype design restoration (608 lines CSS) - Detailed endpoints structure: baseline, exposure, outcomes, confounders Features: - 5-stage dialogue flow for research protocol design - Conversation-driven interaction with sync-to-protocol button - Real-time context state management - One-click protocol generation button (UI ready, backend pending) Database: - agent_schema: 6 tables for reusable Agent framework - protocol_schema: 2 tables for Protocol Agent - Seed data: 1 agent + 5 stages + 9 prompts + 4 reflexion rules Code Stats: - Backend: 13 files, 4338 lines - Frontend: 14 files, 2071 lines - Total: 27 files, 6409 lines Status: MVP core functionality completed, pending frontend-backend integration testing Next: Sprint 4 - One-click protocol generation + Word export
103 lines
2.1 KiB
TypeScript
103 lines
2.1 KiB
TypeScript
/**
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* AIA 智能问答模块 - 附件控制器
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* @module aia/controllers/attachmentController
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*
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* API 端点：
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* - POST /api/v1/aia/conversations/:id/attachments 上传附件
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*/
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import type { FastifyRequest, FastifyReply } from 'fastify';
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import { logger } from '../../../common/logging/index.js';
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import * as attachmentService from '../services/attachmentService.js';
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/**
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* 从 JWT Token 获取用户 ID
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*/
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function getUserId(request: FastifyRequest): string {
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const userId = (request as any).user?.userId;
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if (!userId) {
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throw new Error('User not authenticated');
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}
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return userId;
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}
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/**
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* 上传附件
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* POST /api/v1/aia/conversations/:id/attachments
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*/
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export async function uploadAttachment(
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request: FastifyRequest<{
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Params: { id: string };
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}>,
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reply: FastifyReply
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) {
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try {
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const userId = getUserId(request);
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const { id: conversationId } = request.params;
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// 获取上传的文件
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const data = await request.file();
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if (!data) {
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return reply.status(400).send({
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code: -1,
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error: {
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code: 'VALIDATION_ERROR',
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message: '请上传文件',
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},
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});
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}
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const buffer = await data.toBuffer();
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logger.info('[AIA:AttachmentController] 上传附件', {
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userId,
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conversationId,
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filename: data.filename,
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mimetype: data.mimetype,
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size: buffer.length,
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});
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const attachment = await attachmentService.uploadAttachment(
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userId,
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conversationId,
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{
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filename: data.filename,
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mimetype: data.mimetype,
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buffer,
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}
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);
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return reply.send({
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code: 0,
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data: attachment,
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});
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} catch (error) {
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const errorMessage = error instanceof Error ? error.message : String(error);
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logger.error('[AIA:AttachmentController] 上传附件失败', {
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error: errorMessage,
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stack: error instanceof Error ? error.stack : undefined,
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});
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return reply.status(500).send({
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code: -1,
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error: {
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code: 'INTERNAL_ERROR',
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message: errorMessage,
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},
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});
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}
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}
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