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# AI聊天会话历史功能设置指南
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## 概述
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本文档详细说明如何在您的UniLife项目中设置和使用AI聊天会话历史功能。该功能结合了Spring AI的ChatMemory（会话记忆）和MySQL数据库存储，实现了完整的会话历史管理。
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## 功能特性
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### 🔥 核心功能
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- **双重存储架构**: Spring AI ChatMemory（短期记忆）+ MySQL（长期历史）
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- **自动同步**: ChatMemory消息自动同步到MySQL历史表
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- **会话管理**: 支持会话列表、标题管理、删除等操作
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- **匿名支持**: 支持匿名会话和用户会话
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- **性能优化**: 历史表查询优化，支持分页
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- **兼容性**: 完全兼容现有的Spring AI ChatMemory功能
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### 📊 数据库表结构
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1. **SPRING_AI_CHAT_MEMORY** - Spring AI原生记忆表
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2. **ai_chat_sessions** - 会话元数据管理表
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3. **ai_chat_messages_history** - 消息历史详情表
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## 设置步骤
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### 1. 数据库初始化
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运行以下SQL脚本来创建必要的表结构：
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```sql
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-- Spring AI Chat Memory表（自动创建）
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CREATE TABLE IF NOT EXISTS SPRING_AI_CHAT_MEMORY (
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conversation_id VARCHAR(36) NOT NULL COMMENT '会话ID',
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content TEXT NOT NULL COMMENT '消息内容',
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type VARCHAR(10) NOT NULL COMMENT '消息类型：USER、ASSISTANT、SYSTEM、TOOL',
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`timestamp` TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '消息时间戳',
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INDEX idx_conversation_id_timestamp (conversation_id, `timestamp`),
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CONSTRAINT chk_message_type CHECK (type IN ('USER', 'ASSISTANT', 'SYSTEM', 'TOOL'))
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) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
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-- 会话历史管理表
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CREATE TABLE IF NOT EXISTS ai_chat_sessions (
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id VARCHAR(64) PRIMARY KEY COMMENT '会话ID（前端生成）',
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user_id BIGINT NULL COMMENT '用户ID（可选，支持匿名会话）',
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title VARCHAR(200) NOT NULL DEFAULT '新对话' COMMENT '会话标题',
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created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
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updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
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last_message_time TIMESTAMP NULL COMMENT '最后消息时间',
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message_count INT NOT NULL DEFAULT 0 COMMENT '消息总数',
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INDEX idx_user_id (user_id),
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INDEX idx_created_at (created_at),
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INDEX idx_updated_at (updated_at)
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) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
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-- 会话消息历史详情表
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CREATE TABLE IF NOT EXISTS ai_chat_messages_history (
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id BIGINT AUTO_INCREMENT PRIMARY KEY COMMENT '消息历史ID',
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session_id VARCHAR(64) NOT NULL COMMENT '会话ID',
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conversation_id VARCHAR(36) NOT NULL COMMENT 'Spring AI会话ID',
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role ENUM('user', 'assistant', 'system', 'tool') NOT NULL COMMENT '消息角色',
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content TEXT NOT NULL COMMENT '消息内容',
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created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
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INDEX idx_session_id (session_id),
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INDEX idx_conversation_id (conversation_id),
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INDEX idx_created_at (created_at),
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FOREIGN KEY (session_id) REFERENCES ai_chat_sessions(id) ON DELETE CASCADE
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) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
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```
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### 2. 配置验证
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确保`application.yml`中包含以下配置：
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```yaml
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spring:
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ai:
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chat:
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memory:
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repository:
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jdbc:
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initialize-schema: always
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schema: classpath:schema-mysql.sql
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datasource:
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url: jdbc:mysql://localhost:3306/UniLife?allowPublicKeyRetrieval=true&useSSL=false&serverTimezone=UTC&characterEncoding=UTF-8
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username: root
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password: 123456
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driver-class-name: com.mysql.cj.jdbc.Driver
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```
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### 3. Maven依赖检查
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确保`pom.xml`中包含Spring AI JDBC ChatMemory依赖：
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```xml
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<dependency>
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<groupId>org.springframework.ai</groupId>
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<artifactId>spring-ai-starter-model-chat-memory-repository-jdbc</artifactId>
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</dependency>
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```
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## 使用指南
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### API接口说明
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#### 1. 发送消息（带会话记忆）
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```http
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GET /ai/chat?prompt=你好&sessionId=session_001
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```
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#### 2. 获取会话列表
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```http
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GET /ai/sessions?page=1&size=20
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```
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#### 3. 获取会话消息历史
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```http
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GET /ai/sessions/{sessionId}/messages?page=1&size=50
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```
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#### 4. 创建会话
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```http
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POST /ai/sessions
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{
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"sessionId": "session_123456789",
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"title": "关于Spring Boot的讨论"
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}
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```
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#### 5. 更新会话标题
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```http
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PUT /ai/sessions/{sessionId}
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{
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"title": "新的会话标题"
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}
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```
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#### 6. 删除会话
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```http
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DELETE /ai/sessions/{sessionId}
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```
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### 测试接口
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系统提供了专门的测试接口来验证功能：
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#### 1. 测试会话记忆
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```http
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GET /ai/test/memory?conversationId=test-001&message=我的名字是张三
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GET /ai/test/memory?conversationId=test-001&message=我的名字是什么？
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```
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#### 2. 查看会话历史
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```http
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GET /ai/test/history/test-001
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```
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#### 3. 查看Spring AI原始记忆
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```http
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GET /ai/test/raw-memory/test-001
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```
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#### 4. 同步记忆到历史表
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```http
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POST /ai/test/sync/test-001
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```
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## 架构说明
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### 数据流程
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1. **用户发送消息** → ChatClient处理 → Spring AI ChatMemory自动存储
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2. **消息处理完成** → 自动同步到MySQL历史表
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3. **查询历史** → 优先从历史表查询（性能更好）
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4. **会话管理** → 独立的会话元数据管理
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### 关键组件
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- **AiChatSessionHistoryService**: 会话历史管理服务
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- **AiChatSessionMapper**: 会话数据访问层
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- **AiChatMessageHistoryMapper**: 消息历史数据访问层
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- **AiServiceImpl**: 整合Spring AI和历史管理的主服务
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## 最佳实践
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### 1. 会话ID管理
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- 使用格式：`session_${timestamp}_${random}`
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- 前端生成，确保唯一性
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- 示例：`session_1703827200000_abc123`
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### 2. 性能优化
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- 定期清理过期会话数据
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- 监控`SPRING_AI_CHAT_MEMORY`表大小
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- 使用分页查询大量历史数据
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### 3. 错误处理
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- 数据库连接失败时ChatMemory会降级为内存模式
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- 同步失败不影响主要聊天功能
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- 提供手动同步接口
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## 监控和维护
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### 1. 数据库监控
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```sql
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-- 查看会话统计
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SELECT COUNT(*) as total_sessions FROM ai_chat_sessions;
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-- 查看消息统计
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SELECT COUNT(*) as total_messages FROM ai_chat_messages_history;
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-- 查看Spring AI记忆表大小
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SELECT COUNT(*) as memory_records FROM SPRING_AI_CHAT_MEMORY;
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```
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### 2. 清理过期数据
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```sql
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-- 删除30天前的会话
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DELETE FROM ai_chat_sessions
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WHERE updated_at < DATE_SUB(NOW(), INTERVAL 30 DAY);
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```
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## 故障排除
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### 常见问题
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1. **表不存在错误**
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- 检查`schema-mysql.sql`是否正确
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- 确认`initialize-schema: always`配置
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2. **同步失败**
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- 检查数据库连接
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- 查看日志中的错误信息
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3. **会话列表为空**
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- 确认会话已创建：`POST /ai/test/session`
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- 检查数据库中`ai_chat_sessions`表
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### 调试命令
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```bash
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# 查看应用日志
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tail -f logs/unilife.log | grep -i "chat\|memory\|session"
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# 检查数据库连接
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mysql -u root -p -e "USE UniLife; SHOW TABLES LIKE '%chat%';"
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```
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## 总结
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该实现提供了一个完整的AI聊天会话历史管理解决方案，结合了Spring AI的强大记忆功能和MySQL的持久化存储。通过这种双重存储架构，您既享受了Spring AI的智能记忆管理，又获得了完整的会话历史功能。
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启动应用后，访问Swagger UI（`http://localhost:8087/doc.html`）查看所有可用的API接口并进行测试。
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