wooo/awoooi
1
1
Fork 0
Code Issues 2 Pull Requests 1 Actions 2 Packages Projects Releases Wiki Activity
1,341 Commits 203 Branches 2 Tags
dd0a778e1fbe0a2ad52a91abd5113313bdce26ad
Commit Graph

9 Commits

Author SHA1 Message Date
OG T
aae7c12645 feat(adr-076): Task 3.3 — SSH 修復 KM 萃取（補齊飛輪雙手）
Some checks failed
CD Pipeline / build-and-deploy (push) Has been cancelled
Details 
動機: SSH MCP 修復（docker restart/systemctl）成功後，KM 無法學習
因為 _extract_repair_steps 只處理 kubectl，SSH 路徑完全漏失。

approval_execution.py:
  - _trigger_playbook_extraction: 成功執行後將 approval.action 寫入
    incident.outcome.learning_notes，供 Playbook 萃取器讀取

playbook_service.py:
  - _parse_ssh_command(): 新增模組函式，解析 ssh [user@]host 'cmd' 格式
  - _extract_repair_steps(): 步驟 2 擴充 SSH 路徑分支
      ssh ... → ActionType.SSH_COMMAND + host 記錄
      kubectl ... → ActionType.KUBECTL（保留原有邏輯）
  - _generate_name(): SSH 修復自動加 [SSH] 前綴
  - _extract_tags(): SSH 修復自動加 ssh + host_layer 標籤

test_playbook_ssh_extraction.py: 18 tests（100% 通過）

飛輪雙手對齊:
  kubectl 路徑: decision_chain.reasoning_steps → KM ✅ (既有)
  SSH 路徑: approval.action → learning_notes → KM ✅ (Task 3.3 新增)

測試: 794 passed, 26 skipped, 0 failed

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-14 15:19:54 +08:00
OG T
4b24ecd67f fix(sprint3): 首席架構師 Review C1/C2/C3/M3/m1 修正 
C1: _ssh_execute 直接接收 key_path 參數，不反查 LAYER_SSH_CONFIG
C2: PlaybookService.create() proxy，Router 不再穿透呼叫 _repository
C3: CD Step 1b sed 替換 IMAGE_TAG_PLACEHOLDER，消除失敗中斷風險
M3: repair-bot 110/188 regex 統一 [a-z0-9][a-z0-9-]{0,30}，禁止底線
m1: defaultMode 0400 加八進位說明注釋
m2: _ssh_execute 用 deadline 計算剩餘 timeout

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-05 13:07:59 +08:00
OG T
df3ef9006c fix(auto-repair): 首席架構師 Review — 4 Critical/Important 修復
All checks were successful
CD Pipeline / build-and-deploy (push) Successful in 7m2s
Details 
Critical #1: KM write task 移出 try/except
- _trigger_learning 的 KM 寫入原在 try 內，learning 失敗時不寫 KM
- 移至 except 後確保成功/失敗都寫入
- 移除冗餘 import asyncio（已在頂層 import）
- Minor: approval.incident_id or None 防空字串

Important #2: migration 加 PRIMARY KEY
- playbook_id 從 UNIQUE 升為 PRIMARY KEY
- prod DB 已執行 ALTER TABLE ADD PRIMARY KEY

Important #3: s.sequence→s.step_number, s.description→s.command
- embed_playbook() 使用不存在的欄位名，RAG 向量索引靜默失敗
- RepairStep 正確欄位: step_number, command

Important #1: PlaybookService._get_rag_service 不再 Service 層快取
- 改為每次呼叫工廠 get_playbook_rag_service()
- 避免舊實例繞過工廠的 is_closed 重建邏輯

冷啟動修復 (首席架構師建議B+C):
- _trigger_playbook_extraction 執行成功後自動設定
  execution_success=True, effectiveness_score=4, status=RESOLVED
- skip 路徑 logger.debug → logger.info 提升可觀測性

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-04 12:02:03 +08:00
OG T
72d7536ead feat(auto-repair): 完整自動修復閉環 + KM 沉澱串接
Some checks failed
CD Pipeline / build-and-deploy (push) Has been cancelled
Details 
1. DB Migration: playbooks 資料表 (phase7_playbooks_table.sql)
   - 這是自動修復無法啟動的根本原因 — table 從未建立
   - 5 個索引: status/tags/alert_names/source_incidents/created_at
   - 已在 prod DB 執行

2. playbook_service: 萃取後自動沉澱 KM
   - extract_from_incident() 完成後 fire-and-forget _write_to_km()
   - 內容含症狀模式、修復步驟、信心度、來源 Incident

3. approval_execution: 執行結果沉澱 KM
   - _trigger_learning() 後 fire-and-forget _write_execution_result_to_km()
   - 成功/失敗記錄都寫入，category=execution_result

完整閉環:
告警 → AI分析 → 查Playbook → 決策 → 執行 → 結果寫KM
                                              ↓
                              Incident解決 → KM(knowledge_extractor)
                                          → Playbook萃取 → KM

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-04 11:54:15 +08:00
OG T
f1b037bb0c refactor(api): playbook_rag.py 模組化改造 (P1 違規修復) 
修復 P1 違規:
- Line 29: Service 直接 import Redis → Repository Pattern
- Line 156: 自建 httpx.AsyncClient → DI 注入

變更:
- 新增 IEmbeddingCacheRepository Protocol (interfaces.py)
- 新增 EmbeddingCacheRepository 實作 (embedding_repository.py)
- PlaybookRAGService 改用 DI 注入 http_client + embedding_cache
- get_playbook_rag_service() 改為 async factory
- PlaybookService 改用 lazy initialization

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-27 10:07:30 +08:00
OG T
3c034526a5 feat(api): ADR-030 Phase 3 Playbook RAG 向量搜尋 
實作 Playbook 語意搜尋能力：

1. playbook_rag.py - RAG 向量服務
   - Ollama nomic-embed-text 生成 embedding
   - Redis 儲存向量 (JSON 格式)
   - 餘弦相似度搜尋
   - 混合搜尋 (Vector 60% + Jaccard 40%)

2. playbook_service.py - 整合 RAG
   - extract_from_incident 後自動建立向量索引
   - get_recommendations 支援混合搜尋
   - RAG 失敗時 fallback 到純 Jaccard

功能:
- embed_text(): 文字向量化
- embed_playbook(): Playbook 向量化
- search_similar(): 向量相似度搜尋
- hybrid_search(): 混合搜尋

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-26 22:08:15 +08:00
OG T
30153496d1 fix(api): 修復全部 lint 錯誤 (ruff --fix) 
- Import sorting (I001)
- Unused imports (F401)
- f-string without placeholders (F541)
- Loop variable unused (B007)
- zip() strict parameter (B905)
- Exception chaining (B904)
- collections.abc imports (UP035)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-26 16:06:20 +08:00
OG T
2e75a20150 feat(api): Phase 7.5-7.6 Playbook 整合決策與自動萃取 
Phase 7.5: DecisionManager 三軌決策
- 新增 Playbook 優先匹配 (similarity >= 85%)
- 三軌決策順序: Playbook > LLM > Expert System
- 整合 PlaybookService 推薦引擎

Phase 7.6: 自動萃取機制
- approval_execution.py 成功執行後觸發萃取
- 條件: RESOLVED/CLOSED + effectiveness >= 4
- 滿分 (5) 自動核准 Playbook

測試:
- 13 個 Playbook 單元測試全部通過
- 修復 Incident 模型欄位對應 (reasoning_steps)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-26 11:09:25 +08:00
OG T
698687f092 feat(api): #7 Playbook 萃取功能 (Phase 7.1-7.4) 
實作內容:
- models/playbook.py: Playbook 資料模型 + Request/Response
- repositories/playbook_repository.py: Redis 雙層儲存
- repositories/interfaces.py: IPlaybookRepository Protocol
- services/playbook_service.py: 業務邏輯 (萃取/推薦/核准)
- api/v1/playbooks.py: REST API 端點

API 端點:
- POST /playbooks/extract/{incident_id} - 從成功案例萃取
- POST /playbooks/recommend - 症狀匹配推薦
- POST /playbooks/{id}/approve - 人工核准
- GET/PATCH/DELETE /playbooks/{id} - CRUD

遵循 leWOOOgo 積木化: Router → Service → Repository

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-26 10:54:13 +08:00