Files
happy-life-star/backend-distributed/emotion-ai/src/main/resources/application.yml
T
peanut 48df1d68d7 🎉 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
2025-07-22 20:29:29 +08:00

129 lines
3.3 KiB
YAML

server:
port: 19002
spring:
application:
name: emotion-ai
# 配置文件激活
profiles:
active: ${SPRING_PROFILES_ACTIVE:local}
# 允许Bean覆盖和循环引用
main:
allow-bean-definition-overriding: true
allow-circular-references: true
# 数据源配置
datasource:
driver-class-name: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://${MYSQL_HOST:localhost}:${MYSQL_PORT:3306}/${MYSQL_DATABASE:emotion_museum}?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=false&serverTimezone=GMT%2B8&allowPublicKeyRetrieval=true
username: ${MYSQL_USERNAME:root}
password: ${MYSQL_PASSWORD:123456}
hikari:
minimum-idle: 5
maximum-pool-size: 20
idle-timeout: 30000
max-lifetime: 1800000
connection-timeout: 30000
connection-test-query: SELECT 1
# Redis配置
data:
redis:
host: ${REDIS_HOST:localhost}
port: ${REDIS_PORT:6379}
password: ${REDIS_PASSWORD:}
database: 1
timeout: 10000ms
lettuce:
pool:
max-active: 8
max-wait: -1ms
max-idle: 8
min-idle: 0
# Nacos配置
cloud:
nacos:
discovery:
server-addr: ${NACOS_HOST:localhost}:${NACOS_PORT:8848}
namespace: ${NACOS_NAMESPACE:}
group: ${NACOS_GROUP:DEFAULT_GROUP}
enabled: ${NACOS_DISCOVERY_ENABLED:false}
config:
server-addr: ${NACOS_HOST:localhost}:${NACOS_PORT:8848}
namespace: ${NACOS_NAMESPACE:}
group: ${NACOS_GROUP:DEFAULT_GROUP}
file-extension: yml
enabled: ${NACOS_CONFIG_ENABLED:false}
# Coze平台配置
coze:
base-url: ${COZE_BASE_URL:https://api.coze.cn}
api-key: ${COZE_API_KEY:your-coze-api-key}
bot-id: ${COZE_BOT_ID:7523042446285439016}
workflow-id: ${COZE_WORKFLOW_ID:7523047462895796287}
user-id: ${COZE_USER_ID:emotion-museum-user}
token: pat_GCR4qKzqpf90wMCvKsldMrB18KG3QsLDci65bZthssKsbLxu8X70BKYumleDcabO
timeout: 60
max-retries: 3
stream: false
model:
temperature: 0.7
max-tokens: 1000
top-p: 0.9
frequency-penalty: 0.0
presence-penalty: 0.0
# 功能开关配置
features:
emotion-analysis:
enabled: ${EMOTION_ANALYSIS_ENABLED:false} # 暂时禁用情绪分析
auto-analyze: false # 禁用自动情绪分析
chat:
enabled: true
stream: false
# MyBatis Plus配置
mybatis-plus:
configuration:
map-underscore-to-camel-case: true
cache-enabled: false
call-setters-on-nulls: true
jdbc-type-for-null: 'null'
global-config:
db-config:
id-type: ASSIGN_UUID
logic-delete-field: is_deleted
logic-delete-value: 1
logic-not-delete-value: 0
mapper-locations: classpath*:/mapper/**/*.xml
# 监控配置
management:
endpoints:
web:
exposure:
include: health,info,metrics,prometheus
endpoint:
health:
show-details: always
metrics:
export:
prometheus:
enabled: true
# 日志配置
logging:
file:
path: /data/logs/emotion-museum/ai
level:
com.emotionmuseum: debug
com.baomidou.mybatisplus: debug
com.emotionmuseum.common.handler.MetaObjectHandler: debug
com.emotionmuseum.common.interceptor.UserContextInterceptor: debug
pattern:
console: "%d{yyyy-MM-dd HH:mm:ss} [%thread] %-5level [%logger{50}] - %msg%n"