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11 Commits

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f154ac022e feat(playbook): version generated playbooks
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2026-04-30 23:59:39 +08:00
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6e04fe9c8a feat(playbook): generate drafts with local llm
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2026-04-30 23:04:58 +08:00
OG T
800ab1685f fix(playbook+flywheel): 修復 PlaybookSource enum + repair_steps 相容 + KM stats raw SQL
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修復三個串聯 bug，讓 Playbook seed 能正常執行：

1. PlaybookSource 新增 YAML_RULE enum（alert_rules.yaml 匯入專用）
2. playbook_seed_service: source=YAML_RULE，dedup 改用 raw SQL by name，
   不再呼叫 list_playbooks（舊格式 repair_steps 會 validation error）
3. playbook_repository._orm_to_pydantic: 舊格式 repair_steps 補齊
   step_number/action_type 必填欄位（向下相容）
4. flywheel_stats_service: embedding IS NULL 改用 raw SQL，
   修復 KnowledgeEntryRecord ORM 無 embedding 屬性的 AttributeError

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-15 23:32:04 +08:00
OG T
7da64eaad2 feat(Phase 3): 學習閉環重建 — 三根因修復 + 2x EWMA + Evolver Agent
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ADR-083 Phase 3 學習閉環重建：

**三根因修復**
- approval_execution.py: fire-and-forget create_task → await asyncio.wait_for(timeout=30) × 2
  （成功路徑 L265 + 失敗路徑 L353，超時記錄 learning_trigger_timeout metric，主流程不 crash）
- models/approval.py: ApprovalRequestBase 新增 matched_playbook_id 欄位
- decision_manager.py: _auto_execute 建立 ApprovalRequest 時填充 matched_playbook_id
- learning_service.py: 雙路徑查找 _matched_pb_id（matched_playbook_id + metadata fallback）

**2x EWMA 負向強化**
- models/playbook.py: 新增 trust_score: float = 0.3（EWMA 動態信任度欄位）
- repositories/playbook_repository.py: update_stats 加 EWMA
  成功: trust = 0.9 × old + 0.1 × 1.0
  失敗: trust = 0.8 × old + 0.2 × 0.0（衰減速度 2x）
  trust < 0.1 → log warning，等 Evolver 封存

**Evolver Agent（新建）**
- services/playbook_evolver.py: 三功能全靜態規則
  1. 低信任封存: trust < 0.1 → DEPRECATED
  2. 休眠封存: 30d 未使用 AND trust < 0.5 → DEPRECATED
  3. 相似合併: 症狀 Jaccard > 0.9 → 保留高 trust，封存低 trust
  AIOPS_P3_EVOLVER_ENABLED=False 預設關閉

**文件**
- ADR-083 學習閉環重建
- MASTER §8 Phase 3 完工記錄

AIOPS_P3_ENABLED=False（預設），骨架就位等統帥批准開啟

Co-Authored-By: Claude Sonnet 4.6（亞太）<noreply@anthropic.com>
 2026-04-15 14:01:37 +08:00
OG T
88696dba9b feat(sprint5.1): Data Safety Guardrails 全鏈路整合 (L1-L5)
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Layer 0 - K8s RBAC:
  - k8s/rbac/api-velero-reader.yaml: awoooi-executor SA Velero backup reader

Layer 1 - DB Migration (已在 188 執行):
  - M-002: approval_records 新增 approval_level/votes/required_votes
  - M-003: alert_event_type ENUM 新增 8 個值

Layer 2 - IaC:
  - ops/config/service-registry.yaml: 全服務 Stateful 分級清單 (BLOCK/CRITICAL_HITL/STANDARD_HITL/AUTO)

Layer 3 - Python Services:
  - service_registry.py: 讀取 YAML，提供 is_blocked/requires_multisig/get_required_votes
  - velero_client.py: kubectl 查詢 Velero 備份年齡，失敗 fallback 999h
  - preflight_service.py: Pre-flight 安全檢查 (Q2/Q4 決策)

Layer 1-M001 - Playbook model:
  - playbook.py: 新增 requires_approval_level/stateful_targets/requires_pre_backup

Layer 4 - 業務邏輯:
  - alert_operation_log_repository.py: 新增 8 個 event_type (Guardrail/Pre-flight/MultiSig/備份)
  - auto_repair_service.py: 注入 Service Registry Guardrail 檢查 (BLOCK → 直接拒絕)
  - webhooks.py: ALERT_RECEIVED 溯源記錄 + auto_repair flag Q9 + Langfuse trace_id Q10
  - db/models.py: ApprovalRecord 同步 approval_level/votes/required_votes 欄位
  - docker-health-monitor.sh: 純感知層改造（移除所有 docker restart 邏輯）

Layer 5 - Telegram 通知:
  - telegram_gateway.py: T1-T6 六個新通知方法 (Guardrail/Pre-flight/Backup/MultiSig/ChangeApplied)

參考: ADR-062 Data Safety Guardrails, ADR-063 Service Registry IaC

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-08 16:24:09 +08:00
OG T
5499169996 feat(auto-repair): 打通自動修復閉環 (ADR-058)
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問題: 告警鏈路從未呼叫 auto_repair_service，機制完全死路
修正:
1. webhooks.py: alertmanager_webhook 建立 Incident 後觸發 _try_auto_repair_background
2. playbook.py: is_high_quality 門檻降低 (冷啟動期)
   - success_count: 10 → 3
   - success_rate: 95% → 80%
3. tests: test_evaluate_not_high_quality 更新為新門檻

流程: Alertmanager → API → Incident → evaluate → P2以下+高品質Playbook → 自動執行 → Telegram通知

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-05 22:08:08 +08:00
OG T
bf4f81412c feat(api): ActionType.SSH_COMMAND + auto_repair_service SSH分支 (Task 12) 
- playbook.py: 新增 SSH_COMMAND ActionType
- auto_repair_service._execute_step: SSH_COMMAND 分支，格式 layer/component

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-05 11:47:00 +08:00
OG T
3455044457 feat(phase25): Nemotron 主動防禦三方向 P0+P1+P2 完整實作
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P0 - DIAGNOSE Privacy-First Routing:
- ai_router.py: _local_fallback_chain [NEMOTRON→OLLAMA→REJECT]
- DIAGNOSE 意圖 override 改為 NEMOTRON (原 OLLAMA)
- DIAGNOSE fallback 使用 local-only 鏈，不觸碰雲端
- 全部失敗時 REJECT + Telegram 通知
- config.py: NEMOTRON_DIAGNOSE_TIMEOUT_SECONDS=30, OLLAMA_DIAGNOSE_TIMEOUT_SECONDS=60
- nemotron.py: 根據 context[task_type] 選擇 timeout

P1 - Knowledge Auto-Harvesting:
- models/knowledge.py: EntryType.AUTO_RUNBOOK + ANTI_PATTERN + symptoms_hash
- EntryStatus.PUBLISHED (ANTI_PATTERN 直接發布，無需審核)
- models/playbook.py: SymptomPattern.compute_hash() (16字元確定性 hash)
- services/runbook_generator.py: NemotronRunbookGenerator (v1.1)
  - generate_runbook() → AUTO_RUNBOOK (DRAFT) + Telegram 審核 card
  - generate_anti_pattern() → ANTI_PATTERN (PUBLISHED) + Telegram 通知
  - 使用 nvidia.chat() (正確介面)，Nemotron 超時時 Minimal fallback
- knowledge_service.py: check_anti_pattern(symptoms_hash, days=7)
- db/models.py: symptoms_hash VARCHAR(16) + ix_knowledge_symptoms_hash
- repositories/knowledge_repository.py: create() 支援 symptoms_hash + status
- auto_repair_service.py: anti_pattern_gate 在 decide() + runbook hook 在 execute()
- migrations/phase8_symptoms_hash.sql: ALTER TABLE + partial index + PUBLISHED constraint

P2 - Config Drift Detection:
- models/drift.py: DriftItem/DriftReport/DriftLevel/DriftIntent/DriftStatus
- services/drift_detector.py: GitStateReader + K8sStateReader + DriftDetector
- services/drift_analyzer.py: 白名單過濾 + DriftLevel 分級
- services/drift_interpreter.py: NemotronDriftInterpreter（意圖分析，不生成修復指令）
- services/drift_remediator.py: rollback(kubectl apply) + adopt(git push gitea)
- api/v1/drift.py: POST /scan, GET /reports, POST /rollback, POST /adopt
- migrations/phase9_drift_reports.sql: drift_reports 表
- k8s/drift-cronjob.yaml: 每小時自動掃描 CronJob

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-04 12:35:05 +08:00
OG T
f5b19cf108 feat(learning): 實作 Playbook 信心度調整機制 (ADR-030) 
- 新增 _promote_playbook: 高評分提升信心度 +0.1
- 新增 _demote_playbook: 低評分降低信心度 -0.15
- 新增 find_by_source_incident: 按 incident_id 查詢 Playbook
- 新增 adjust_confidence: 信心度調整 + 狀態自動轉換
- 新增 Playbook.failure_rate 屬性

自動狀態轉換:
- ai_confidence >= 0.9 + DRAFT → 自動 APPROVED
- ai_confidence < 0.3 + failure_rate > 50% → 自動 DEPRECATED

測試: 13 案例全部通過

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-29 22:10:49 +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
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