88 lines
2.1 KiB
TypeScript
88 lines
2.1 KiB
TypeScript
import Fastify from 'fastify';
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import cors from '@fastify/cors';
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import { config } from './config/env.js';
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import { testDatabaseConnection, prisma } from './config/database.js';
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const fastify = Fastify({
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logger: {
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level: config.logLevel,
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transport: {
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target: 'pino-pretty',
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options: {
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colorize: true,
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translateTime: 'HH:MM:ss Z',
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ignore: 'pid,hostname',
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},
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},
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},
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});
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// 注册CORS插件
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await fastify.register(cors, {
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origin: true, // 开发环境允许所有来源
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credentials: true,
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});
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// 健康检查路由
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fastify.get('/health', async () => {
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// 检查数据库连接
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let dbStatus = 'unknown';
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try {
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await prisma.$queryRaw`SELECT 1`;
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dbStatus = 'connected';
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} catch {
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dbStatus = 'disconnected';
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}
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return {
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status: 'ok',
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database: dbStatus,
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timestamp: new Date().toISOString(),
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uptime: process.uptime(),
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};
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});
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// API路由前缀
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fastify.get('/api/v1', async () => {
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return {
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message: 'AI Clinical Research Platform API',
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version: '1.0.0',
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environment: config.nodeEnv,
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};
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});
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// 启动服务器
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const start = async () => {
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try {
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// 测试数据库连接
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console.log('🔍 正在测试数据库连接...');
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const dbConnected = await testDatabaseConnection();
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if (!dbConnected) {
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console.error('❌ 数据库连接失败，无法启动服务器');
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process.exit(1);
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}
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// 启动Fastify服务器
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await fastify.listen({
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port: config.port,
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host: config.host,
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});
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console.log('\n' + '='.repeat(60));
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console.log('🚀 AI临床研究平台 - 后端服务器启动成功！');
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console.log('='.repeat(60));
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console.log(`📍 服务地址: http://${config.host === '0.0.0.0' ? 'localhost' : config.host}:${config.port}`);
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console.log(`🔍 健康检查: http://localhost:${config.port}/health`);
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console.log(`📡 API入口: http://localhost:${config.port}/api/v1`);
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console.log(`🌍 运行环境: ${config.nodeEnv}`);
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console.log('='.repeat(60) + '\n');
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} catch (err) {
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fastify.log.error(err);
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process.exit(1);
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}
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};
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start();
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