HaHafeng
dfc0fe0b9a
Summary: - Migrate PostgreSQL to pgvector/pgvector:pg15 Docker image - Successfully install and verify pgvector 0.8.1 extension - Create comprehensive Dify-to-pgvector migration plan - Update PKB module documentation with pgvector status - Update system documentation with pgvector integration Key changes: - docker-compose.yml: Switch to pgvector/pgvector:pg15 image - Add EkbDocument and EkbChunk data model design - Design R-C-R-G hybrid retrieval architecture - Add clinical data JSONB fields (pico, studyDesign, regimen, safety, criteria, endpoints) - Create detailed 10-day implementation roadmap Documentation updates: - PKB module status: pgvector RAG infrastructure ready - System status: pgvector 0.8.1 integrated - New: Dify replacement development plan (01-Dify替换为pgvector开发计划.md) - New: Enterprise medical knowledge base solution V2 Tested: PostgreSQL with pgvector verified, frontend and backend functionality confirmed
45 lines
743 B
TypeScript
45 lines
743 B
TypeScript
/**
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* 用户模块权限 API
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*/
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import { getAccessToken } from './api';
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const API_BASE = '/api/v1/auth';
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/**
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* 获取当前用户可访问的模块
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*/
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export async function fetchUserModules(): Promise<string[]> {
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const token = getAccessToken();
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const headers: HeadersInit = {
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'Content-Type': 'application/json',
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};
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if (token) {
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(headers as Record<string, string>)['Authorization'] = `Bearer ${token}`;
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}
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const response = await fetch(`${API_BASE}/me/modules`, {
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method: 'GET',
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headers,
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});
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if (!response.ok) {
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const error = await response.json();
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throw new Error(error.message || '获取模块权限失败');
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}
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const result = await response.json();
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return result.data || [];
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}
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