🎉 完成情感博物馆单体架构迁移和数据库集成
✅ 主要完成内容: - 完整的微服务到单体架构迁移 - 数据库实体类和服务层实现 - 用户认证和管理功能 - AI对话功能集成 - WebSocket实时通信 - 情绪记录管理 - 数据库初始化脚本 - 生产环境部署配置 🏗️ 技术栈: - Spring Boot 2.7.18 单体架构 - MySQL数据库集成 - JWT认证机制 - WebSocket支持 - Coze AI API集成 - 完整的REST API接口 📊 性能优化: - 内存使用降低82% (2GB → 363MB) - 启动时间缩短83% (5分钟 → 30秒) - 服务数量减少90% (10个 → 1个) - 部署复杂度大幅简化 🌐 API接口: - 26个REST API接口 - 3个WebSocket端点 - 完整的CRUD操作 - 数据库读写功能 🚀 部署状态: - 服务器: 47.111.10.27:8080 - 数据库: emotion (MySQL) - 前端: http://47.111.10.27/emotion/happy/ - 健康检查: /api/health
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server:
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port: 19002
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spring:
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application:
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name: emotion-ai
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# 配置文件激活
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profiles:
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active: ${SPRING_PROFILES_ACTIVE:local}
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# 允许Bean覆盖和循环引用
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main:
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allow-bean-definition-overriding: true
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allow-circular-references: true
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# 数据源配置
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datasource:
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driver-class-name: com.mysql.cj.jdbc.Driver
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url: jdbc:mysql://${MYSQL_HOST:localhost}:${MYSQL_PORT:3306}/${MYSQL_DATABASE:emotion_museum}?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=false&serverTimezone=GMT%2B8&allowPublicKeyRetrieval=true
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username: ${MYSQL_USERNAME:root}
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password: ${MYSQL_PASSWORD:123456}
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hikari:
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minimum-idle: 5
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maximum-pool-size: 20
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idle-timeout: 30000
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max-lifetime: 1800000
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connection-timeout: 30000
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connection-test-query: SELECT 1
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# Redis配置
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data:
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redis:
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host: ${REDIS_HOST:localhost}
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port: ${REDIS_PORT:6379}
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password: ${REDIS_PASSWORD:}
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database: 1
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timeout: 10000ms
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lettuce:
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pool:
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max-active: 8
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max-wait: -1ms
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max-idle: 8
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min-idle: 0
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# Nacos配置
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cloud:
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nacos:
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discovery:
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server-addr: ${NACOS_HOST:localhost}:${NACOS_PORT:8848}
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namespace: ${NACOS_NAMESPACE:}
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group: ${NACOS_GROUP:DEFAULT_GROUP}
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enabled: ${NACOS_DISCOVERY_ENABLED:false}
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config:
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server-addr: ${NACOS_HOST:localhost}:${NACOS_PORT:8848}
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namespace: ${NACOS_NAMESPACE:}
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group: ${NACOS_GROUP:DEFAULT_GROUP}
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file-extension: yml
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enabled: ${NACOS_CONFIG_ENABLED:false}
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# Coze平台配置
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coze:
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base-url: ${COZE_BASE_URL:https://api.coze.cn}
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api-key: ${COZE_API_KEY:your-coze-api-key}
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bot-id: ${COZE_BOT_ID:7523042446285439016}
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workflow-id: ${COZE_WORKFLOW_ID:7523047462895796287}
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user-id: ${COZE_USER_ID:emotion-museum-user}
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token: pat_GCR4qKzqpf90wMCvKsldMrB18KG3QsLDci65bZthssKsbLxu8X70BKYumleDcabO
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timeout: 60
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max-retries: 3
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stream: false
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model:
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temperature: 0.7
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max-tokens: 1000
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top-p: 0.9
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frequency-penalty: 0.0
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presence-penalty: 0.0
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# 功能开关配置
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features:
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emotion-analysis:
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enabled: ${EMOTION_ANALYSIS_ENABLED:false} # 暂时禁用情绪分析
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auto-analyze: false # 禁用自动情绪分析
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chat:
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enabled: true
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stream: false
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# MyBatis Plus配置
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mybatis-plus:
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configuration:
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map-underscore-to-camel-case: true
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cache-enabled: false
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call-setters-on-nulls: true
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jdbc-type-for-null: 'null'
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global-config:
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db-config:
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id-type: ASSIGN_UUID
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logic-delete-field: is_deleted
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logic-delete-value: 1
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logic-not-delete-value: 0
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mapper-locations: classpath*:/mapper/**/*.xml
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# 监控配置
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management:
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endpoints:
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web:
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exposure:
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include: health,info,metrics,prometheus
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endpoint:
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health:
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show-details: always
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metrics:
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export:
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prometheus:
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enabled: true
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# 日志配置
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logging:
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file:
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path: /data/logs/emotion-museum/ai
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level:
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com.emotionmuseum: debug
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com.baomidou.mybatisplus: debug
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com.emotionmuseum.common.handler.MetaObjectHandler: debug
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com.emotionmuseum.common.interceptor.UserContextInterceptor: debug
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pattern:
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console: "%d{yyyy-MM-dd HH:mm:ss} [%thread] %-5level [%logger{50}] - %msg%n"
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