feat/multi-channel-framework [AC-INIT]合并功能代码 #12

Merged
MerCry merged 37 commits from feat/multi-channel-framework into main 2026-02-24 03:55:00 +00:00
1 changed files with 165 additions and 0 deletions
Showing only changes of commit bbfffec1f0 - Show all commits

View File

@ -0,0 +1,165 @@
# ai-robot-MCA - Progress
> 多渠道适配主框架架构改造进度文档
> 遵循 `docs/session-handoff-protocol.md` 协议
---
## 📋 Context
- module: `ai-robot`
- feature: `MCA` (Multi-Channel Adapter)
- status: 🔄 进行中
---
## 🔗 Spec References (SSOT)
- agents: `AGENTS.md`
- contracting: `spec/contracting.md`
- requirements: `spec/ai-robot/requirements.md`
- openapi_provider: `spec/ai-robot/openapi.provider.yaml`
- openapi_deps: `spec/ai-robot/openapi.deps.yaml`
- design: `spec/ai-robot/design.md`
- tasks: `spec/ai-robot/tasks.md`
---
## 📊 Overall Progress (Phases)
- [ ] Phase 1: 基础设施 (0%) ⏳ [tasks.md: TASK-001 ~ TASK-005]
- [ ] Phase 2: 渠道适配层 (0%) ⏳ [tasks.md: TASK-010 ~ TASK-013]
- [ ] Phase 3: 消息路由层 (0%) ⏳ [tasks.md: TASK-020 ~ TASK-023]
- [ ] Phase 4: AI 服务客户端 (0%) ⏳ [tasks.md: TASK-030 ~ TASK-033]
- [ ] Phase 5: 集成测试 (0%) ⏳ [tasks.md: TASK-040 ~ TASK-042]
---
## 🔄 Current Phase
### Goal
完成统一消息模型 DTO、配置类、数据库变更、Resilience4j 依赖、幂等性工具类。
### Sub Tasks
- [ ] TASK-001: 定义统一消息模型 DTO ⏳ [AC-MCA-08]
- [ ] TASK-002: 新增配置类 ⏳ [AC-MCA-04]
- [ ] TASK-003: 数据库 Schema 变更 ⏳ [AC-MCA-11]
- [ ] TASK-004: 添加 Resilience4j 依赖 ⏳ [AC-MCA-06, AC-MCA-07]
- [ ] TASK-005: 消息幂等性工具类 ⏳ [AC-MCA-11-IDEMPOTENT]
### Next Action (Must be Specific)
**Immediate**: 创建 `InboundMessage.java`、`OutboundMessage.java`、`SignatureInfo.java` DTO 类。
**Details**:
1. file: `src/main/java/com/wecom/robot/dto/InboundMessage.java`
2. action: 定义 InboundMessage DTO包含 channelType、channelMessageId、sessionKey、customerId、kfId、sender、content、msgType、rawPayload、timestamp、signatureInfo、metadata 字段
3. reference:
- `spec/ai-robot/design.md` 第 2.1 节(入站消息定义)
- `spec/ai-robot/design.md` 第 2.3 节(字段映射策略)
4. constraints:
- 必须符合 design.md 2.1 定义的所有字段
- 使用 Lombok @Data、@Builder 注解
- 内部统一使用 `content` 字段名(与 AI 服务契约 `currentMessage` 的映射在 AiServiceClient 层处理)
---
## 🏗️ Technical Context
### Module Structure (Only What Matters)
```
src/main/java/com/wecom/robot/
├── dto/
│ ├── InboundMessage.java # TASK-001
│ ├── OutboundMessage.java # TASK-001
│ ├── SignatureInfo.java # TASK-001
│ └── ai/
│ ├── ChatRequest.java # TASK-030
│ └── ChatResponse.java # TASK-030
├── config/
│ ├── AiServiceConfig.java # TASK-002
│ └── ChannelConfig.java # TASK-002
├── adapter/
│ ├── ChannelAdapter.java # TASK-010
│ ├── ServiceStateCapable.java # TASK-010
│ ├── TransferCapable.java # TASK-010
│ ├── MessageSyncCapable.java # TASK-010
│ ├── WeChatAdapter.java # TASK-011
│ └── ChannelAdapterFactory.java # TASK-012
├── service/
│ ├── MessageRouterService.java # TASK-020
│ ├── AiServiceClient.java # TASK-031
│ └── impl/
│ ├── MessageRouterServiceImpl.java # TASK-021
│ └── AiServiceClientImpl.java # TASK-031
├── util/
│ └── IdempotentHelper.java # TASK-005
└── entity/
└── Session.java # TASK-003 更新
```
### Key Decisions (Why / Impact)
- decision: 统一消息模型 (InboundMessage/OutboundMessage)
reason: 实现渠道无关的消息处理Controller 层负责验签/解析Router 层处理统一消息
impact: 后续新增渠道只需实现 ChannelAdapter无需修改核心路由逻辑
- decision: 使用 Resilience4j 实现熔断
reason: 与 Spring Boot 2.7 兼容良好,支持断路器、限流、超时
impact: AI 服务调用具备熔断/降级能力,提升系统稳定性
- decision: 内部字段统一用 `content`AI 服务契约用 `currentMessage`
reason: 保持内部命名一致性,映射在 AiServiceClient 层处理
impact: 避免后续 DTO 命名混乱
### Code Snippets (Reference)
```java
// InboundMessage 结构参考 (design.md 2.1)
@Data
@Builder
public class InboundMessage {
private String channelType; // wechat/douyin/jd
private String channelMessageId; // 渠道原始消息ID (幂等键)
private String sessionKey; // 会话标识
private String customerId;
private String kfId;
private String sender;
private String content; // 统一字段名
private String msgType;
private String rawPayload;
private Long timestamp;
private SignatureInfo signatureInfo;
private Map<String, Object> metadata;
}
```
---
## 🧾 Session History
### Session #1 (2026-02-24)
- completed:
- 创建 spec/ai-robot/ 目录结构
- 编写 requirements.md (v0.2.0)
- 编写 openapi.deps.yaml (L0)
- 编写 openapi.provider.yaml (L0)
- 编写 design.md (v0.2.0)
- 编写 tasks.md (20 个任务)
- 所有规范文件已提交到 Git
- changes:
- 新增 spec/ai-robot/requirements.md
- 新增 spec/ai-robot/openapi.deps.yaml
- 新增 spec/ai-robot/openapi.provider.yaml
- 新增 spec/ai-robot/design.md
- 新增 spec/ai-robot/tasks.md
---
## 🚀 Startup Guide
1. 读取本进度文档,定位当前 Phase 与 Next Action。
2. 打开并阅读 Spec References 指向的模块规范requirements/openapi/design/tasks
3. 直接执行 Next ActionTASK-001: 创建 InboundMessage 等 DTO
4. 每完成一个子任务,更新本进度文档并提交 Git。