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ai-robot-channel/docs/progress/ai-robot-mca-progress.md

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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)

// 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 Action（TASK-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。