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All 5 modules verified — no broken links found: - Extractor: ✅ full chain (3 new e2e tests) - Reflection: ✅ full cycle (2 new tests) - Heartbeat: ✅ 10 commands, 5 real checks - Compaction: ✅ middleware chain + memory flush - VikingInject: ✅ middleware chain, auto-inject Minor issues noted: dual extraction path, dual reflection counter. Chunk 1 complete — ready for Chunk 2/3/4.
3.3 KiB
3.3 KiB
OpenViking 模块端到端验证报告
Chunk 1 — 2026-04-07
模块状态总览
| 模块 | 状态 | Tauri 命令 | 前端触发 | 持久化 | 测试 |
|---|---|---|---|---|---|
| Extractor | ✅ running | 2 已注册 | streamStore 对话后触发 ✅ | SqliteStorage ✅ | 3 e2e + 2 unit |
| Reflection | ✅ running | 6 已注册 | streamStore + hooks ✅ | VikingStorage ✅ | 4 (2 new) |
| Heartbeat | ✅ running | 10 已注册 | saasStore 登录后触发 ✅ | VikingStorage ✅ | 2 unit |
| Compaction | ✅ running | 4 已注册 | Middleware chain (priority 100) | VikingStorage ✅ | 4 unit |
| VikingInject | ✅ running | 1 已注册 | Middleware chain (priority 150) | VikingStorage ✅ | 覆盖于 growth tests |
详细发现
Extractor (记忆提取)
- 链路: streamStore → MemoryExtractor(TS) → extractAndStoreMemories → Tauri → Rust SessionExtractor → SqliteStorage
- 前端: 有完整的 LLM + 规则提取,支持中文模式
- Rust: 有 LLM + 规则提取,但规则仅支持英文模式
- 注意: 存在双重提取(TS MemoryExtractor 和 Rust SessionExtractor 各提取一次),功能正常但有性能浪费
- 新测试:
extract_and_store_creates_memories,extract_preference_from_conversation,no_extraction_without_llm_driver
Reflection (反思进化)
- 链路: streamStore → intelligenceClient.reflection → Tauri → ReflectionEngine; 同时 intelligence_hooks → ReflectionEngine
- LLM 分析: 支持,带规则回退
- 持久化: state + result + history 全部存储到 VikingStorage
- 注意: 前端和后端都调用 record_conversation(),导致双重计数
- 新测试:
test_reflection_cycle_full,test_reflection_generates_identity_proposals
Heartbeat (心跳检查)
- 链路: saasStore login → deviceHeartbeat; 同时 intelligence_hooks → record_interaction
- 内置检查: check_pending_tasks, check_memory_health, check_idle_greeting, check_personality_improvement, check_learning_opportunities — 全部有真实实现
- 配置: 默认 30 分钟间隔,静默时段 22:00-08:00
- 注意: Tauri 命令
heartbeat_start通过 saasStore 登录后调用,不是 app init 时自动启动
Compaction (对话压缩)
- 链路: CompactionMiddleware (priority 100) 在 create_middleware_chain 中注册
- Memory Flush:
flush_old_messages_to_memory在压缩前将用户/助手消息存储到 VikingStorage - 摘要: 规则提取(主题 + 结论 + 技术上下文),支持 LLM 增强
- 阈值: soft 15k tokens, hard 20k tokens
VikingInject (记忆注入)
- 链路: MemoryMiddleware (priority 150) 在 create_middleware_chain 中注册
- 注入流程: before_completion → viking_find → 格式化记忆 → 注入 system prompt
- Tauri 命令:
viking_inject_prompt已注册但前端未直接调用(middleware 自动处理) - 测试: zclaw-growth 78 个测试全通过
结论
所有 5 个模块端到端链路完整,功能正常。 无断链。
建议优化(非阻塞):
- Extractor 双重提取 — 合并为单次提取路径
- Reflection 双重计数 — 统一为单一触发路径
- Heartbeat 自动启动 — 考虑在 app init 时启动而非仅在 saasStore 登录后
Chunk 1 验证通过,可以进入 Chunk 2/3/4。