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