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Author SHA1 Message Date
OG T
f1cbf6db7d feat(adr-081): Phase 1 感官縱深 — 8D 情報蒐集 + 執行後驗證 
成品：
- IncidentEvidence DB model（8D 感官 + pre/post 執行狀態）
- EvidenceSnapshot dataclass（build_summary → LLM 上下文）
- SanitizationService（Prompt Injection 0-tolerance，12 pattern）
- MCPToolRegistry（動態工具登記，suggest_tools 不寫死告警類型）
- PreDecisionInvestigator（8D 並行感官，P99 < 8s，Redis 30s 快取）
- PostExecutionVerifier（warmup 10s → 後狀態評估 success/degraded/failed）
- decision_manager + approval_execution 接線（feature flag 守衛）

Gate 1 修復：D4/D5/D7/D8 補 sanitize_dict_values；移除裸 "error" failure
signal 防 error_rate key 誤判；evidence_snapshot rowcount 零行警告。

測試：130 passed（+111 新增）

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-15 13:08:38 +08:00
OG T
db9e304a14 feat(adr-080): Phase 0 防護欄建立 — AI 自主化飛輪啟動 
- docs/superpowers/specs/2026-04-15-MASTER-ai-autonomous-flywheel-v2.md
  (1456 行，§0-§8 全填完：42-cell 戰術矩陣、7 Phase 計畫、7 ADR 摘要、
   15 KPI、21 Feature Flags、10 風險場景)

- docs/adr/ADR-080-ai-autonomy-flywheel-overview.md
  (7 Phase 結構 + 4 北極星 + 7 架構師 Review Gates + Phase 退出條件)

- apps/api/src/core/feature_flags.py
  (AIOpsFeatureFlags: P1~P6 總開關全 False + 15 細粒度子開關
   is_phase_enabled() / is_sub_flag_enabled() + bool cast 安全)

- apps/api/src/jobs/__init__.py + baseline_snapshot.py
  (Phase 0 基線快照 Job：MCP calls / Playbook confidence / general 比例
   / learning loop rate / auto_repair — 寫入 aiops:baseline:latest)

- apps/api/tests/test_feature_flags.py  (21 tests — 全綠)

- docs/HARD_RULES.md → v1.9
  (新增 Phase 退出條件鐵律：禁止未過 exit conditions 宣告 Phase 完成)

- CLAUDE.md 防失憶閘門 1：強制讀 MASTER §0 Session Resume Protocol

Gate 0 Pass — 21/21 tests green

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-15 12:44:53 +08:00
OG T
6c7f648b60 fix: 3 個飛輪沉默未打通節點 — 統帥截圖盤出
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統帥截圖證據 (Telegram MEDIUM 告警仍走人工審核):
INC-20260411-A03B2E / A2BB29 顯示「[規則匹配]」+ action=unknown-service

節點 1: AutoApprovePolicy 擋下規則匹配 (飛輪主因)
  - ADR-073 規則匹配 confidence=0.0 (防偽造)
  - AutoApprovePolicy.min_confidence=0.50 → 擋下
  - 結果: MEDIUM 規則匹配永遠人工審核，飛輪不轉
  修復: auto_approve.py 加 _is_rule_based 判斷
        (is_rule_based / source=expert_system / rule_id / matched_rule)
        → bypass min_confidence 檢查
        → 驗證: should_auto_approve=True ✅

節點 2: _is_bad_target 漏 unknown-service magic string
  - _resolve_target_from_k8s fallback 產 unknown-service / unknown-pod
  - GAP-A4 Phase 1/2 只擋 'unknown' 而非前綴
  修復: alert_rule_engine.py 加 unknown-/none-/null-/undefined- 前綴黑名單
        → 驗證: 4 個 magic 全 bad ✅

節點 3: stale_ready_tokens_resend 無時效過濾
  - 截圖是 2026-04-11 (4 天前) 告警
  - 舊 labels 過期，重 process 也產不出新 target
  - 壓爆 Ollama + 污染 Telegram 卡片
  修復: decision_manager.py 跳過 > 3 天的 stale incident
        → skip + log stale_ready_token_skipped_too_old

回歸: 113/113

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-15 10:56:48 +08:00
OG T
a92562d65c feat(Phase 5 Sprint 5.4): 分類按鈕從 registry 動態產生 — 按鈕重啟上線
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Details 
_build_inline_keyboard() 改寫:
- 原 hardcode _CATEGORY_BUTTONS dict (28 按鈕) 已下架
- 改從 callback_action_spec.yaml registry 動態產生
- spec.callback_format 決定格式:
  * nonce (寫類) → self._security.generate_callback_nonce(approval_id, action_name)
  * info (查類) → {action_name}:{incident_id}
- 新按鈕只需改 yaml，零改 code

分類覆蓋 (從 yaml 自動推算):
- kubernetes: 6 按鈕 (4 寫 + 2 查)
- host_resource: 3 按鈕 (1 查 + 2 寫)
- secops: 4 按鈕 (全寫類 + Multi-Sig)
- database: 3 按鈕
- storage: 2 按鈕
- network: 3 按鈕
- devops_tool: 2 按鈕
- external_site: 2 按鈕
- business: 1 按鈕
- flywheel_health: 1 按鈕
- ssl_cert: 1 按鈕

這次按鈕不是鬼魂 — 每個都有:
✅ callback_format 正確 (4-part nonce / 2-part info)
✅ Sprint 5.3 dispatch handler 接收
✅ Sprint 5.2 MCP registry 執行
✅ audit log + reply_to 原卡片

回歸: 188/188

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 21:40:20 +08:00
OG T
de8bbd8ab9 feat(Phase 5 Sprint 5.3): 寫類分類按鈕 nonce action 路由 + audit log
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插入點: _handle_callback_query Step 1.9 (nonce 驗證後, Step 2 approve/reject 前)

邏輯:
1. 從 spec registry 查 action 是否為註冊的寫類動作
2. 若 action in (approve/reject/silence/tune/log_manual_fix) → skip 走既有流程
3. 若 spec.requires_multi_sig=True 且 current_signatures < 2 → 提示「需 2 人簽核」
4. Audit log (category_write_action_audit_start) 含 user/risk/provider/tool
5. Ack Telegram (emoji + label + 執行中...)
6. 從 incident 取 labels 供模板替換
7. dispatch_action() → MCP 執行
8. Reply 結果到原告警卡片（Redis tg_msg lookup）
9. Audit log (category_write_action_audit_complete) 含 success/error/duration

支援的寫類 action:
- k8s_restart/scale_up/scale_down/rollback (kubernetes)
- host_restart_service/clear_log (host_resource)
- docker_restart/minio_restart (devops_tool/storage)
- reload_nginx/renew_cert (network/ssl_cert)
- kill_slow_query/clear_conn_pool (database)
- pause_1h/trigger_diagnose (business/flywheel)

Multi-Sig 支援 (Sprint 5.4 預留):
- secops_isolate/block_ip/evict → requires_multi_sig=True
- 簽核數未達 2 → 提示 + 不執行

回歸: 129/129

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 21:39:16 +08:00
OG T
208c28ed09 feat(Phase 5 Sprint 5.2): Callback dispatcher 接入真實 MCP registry
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Details 
dispatch_action() 升級:
- 從 Sprint 5.0 stub 升級為真實 MCP 調用
- internal provider: URL builder + authorization 記錄（不走 MCP）
- 其他 provider: from src.plugins.mcp.registry import get_provider → execute
- asyncio.wait_for 包 timeout_sec（按 spec 設定，每按鈕不同）

Graceful degradation:
- Provider 未註冊 → returns success=False + 'provider_not_found' 錯誤
- MCP returned success=False → reply 含錯誤訊息
- asyncio.TimeoutError → reply 「超時 Xs」+ log

新增 _handle_internal_action():
- build_signoz_url → https://signoz.wooo.work/services/{service}
- build_flywheel_url → https://awoooi.wooo.work/flywheel
- record_authorization → 24h 同源靜默確認

測試覆蓋 (26/26):
- 3 新 internal action tests (open_signoz/open_flywheel/secops_authorize)
- 1 MCP failure graceful test
- 既有 22 個保留（更新 2 個 Sprint 5.0 stub 測試為 Sprint 5.2 graceful）

Sprint 5.2 DOD:
✅ 10 查類按鈕 dispatch 路徑完整
✅ 3 internal actions 實作
✅ Graceful failure (no crash)
✅ asyncio.wait_for timeout 保護
⏳ 實際 end-to-end 測試（需 prod MCP providers 都註冊）

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 20:43:40 +08:00
OG T
581b244ad1 feat(Phase 5 Sprint 5.1): Telegram callback_handler 接上 dispatcher
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整合點: _handle_callback_query 未知 action fallback 路徑

變更:
1. Line 2601 原「⚠️ 未知操作」改呼叫 _dispatch_category_action()
2. 新增 _dispatch_category_action() method:
   - 查 callback_action_spec registry
   - 若 action 不存在 → 回「未知操作」（行為不變）
   - 若存在 → acknowledge + 從 incident 取 labels + dispatch + reply 原卡片

效果:
- check_process / check_port / check_log_* / check_health / open_signoz /
  open_flywheel 等 10 個查類按鈕現在有完整 flow（雖 Sprint 5.2 還沒接 MCP，但 stub 會 reply）
- 當 CD 部署 + Sprint 5.2 實裝 MCP 接線後，查類按鈕自動上線

Sprint 5.1 DOD:
- ✅ callback_handler 接線 _dispatch_category_action
- ✅ Dispatcher 讀 incident labels 替換模板變數
- ✅ Reply to 原告警卡片（Redis tg_msg lookup）
- ⏳ MCP 實際執行（Sprint 5.2）

回歸測試: 109/109

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 20:41:22 +08:00
OG T
36754a8a84 fix: Bug A 診斷 + Bug B 真修 — LLM 120s/130s 硬編 → OPENCLAW_TIMEOUT
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殘留兩個深層 bug 處理:

Bug A (approval.incident_id 仍 NULL) — 加診斷
  - update_incident_id 加 rowcount 檢查
  - 若 UPDATE 0 rows affected → warning log (id 型別 mismatch 或 session 不同步)
  - 手動 UPDATE 測試通過 → DB/permissions 正常，問題在應用層
  - 等 CD 部署後 live-fire 觀察 log 診斷真因

Bug B (LLM 仍 2m6s >> 30s) — 真修
  openclaw.py 兩處硬編 timeout:
  - line 146 httpx client default: 120.0s → settings.OPENCLAW_TIMEOUT (30s)
  - line 348 /analyze/incident POST: 130.0s → settings.OPENCLAW_TIMEOUT (30s)
  GAP-B4 commit dd0a778 只修了 ai_providers/ollama.py
  但 openclaw.py 自己的 httpx client 和 endpoint call 沒改
  這就是為什麼 Live-fire #2-#7 都卡 120s+ 的真因

回歸測試: 125/125 (dispatcher + a4 + classify + grouping)

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 20:38:00 +08:00
OG T
2e2f5a1881 feat(Phase 5 Sprint 5.0): Callback Dispatcher 規格 + 骨架 + 22 測試
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統帥批准 Phase 5 全 Sprint，Sprint 5.0 產出:

1. callback_action_spec.yaml (24 actions)
   - 10 查類 (info 2-part callback, 無副作用): check_process, check_port,
     check_log_*, check_health, check_pod_logs, describe_pod, open_signoz,
     open_flywheel
   - 10 寫類 (nonce 4-part, 有副作用): k8s_restart/scale_up/scale_down/rollback,
     host_restart_service/clear_log, docker_restart, minio_restart,
     reload_nginx, renew_cert
   - 4 secops (Multi-Sig CRITICAL): secops_isolate/block_ip/evict/authorize

2. callback_dispatcher.py
   - Registry pattern (lru_cache): get_action_spec / list_actions_for_category
   - 模板變數替換: {incident_id} / {labels.xxx} / {signals[0].xxx}
   - dispatch_action() 骨架 (Sprint 5.2+ 接 MCP)
   - _format_reply: text/code/truncated/url 4 種格式

3. test_callback_dispatcher.py (22 tests全過)
   - Registry loading 正確性
   - Category filtering
   - Template resolution (含 nested list index)
   - dispatch stub 返回正確 spec 提示

下一步 Sprint 5.1: 接入 MCP registry + telegram callback_handler 整合
MCP 底層能力已有 (k8s 10+ tools, ssh 15 tools)

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 20:34:14 +08:00
OG T
10e3043ce8 fix(UX): 下架 28 個鬼魂分類按鈕 + ADR-079 Phase 5 補完計畫
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統帥 2026-04-14 20:00 完整 audit 揭露:
_CATEGORY_BUTTONS 28 個按鈕全死 3 天（從 2026-04-11 commit 325b3851）
- callback_data 格式全錯（3-part 不符 parser 4-part/2-part）
- grep apps/api/src 無任何 dispatch handler
- 統帥今天真踩到：點「查程序」沒反應 → 信任破壞

首席架構師裁示 (C 分級)：
A. 立刻下架（本 commit）：_CATEGORY_BUTTONS = {} fallback 通用按鈕
B. Phase 5 完整化（ADR-079 規劃，3-5 天，另 Sprint 實作）

保留通用按鈕（全 ✅）:
- 批准 / 拒絕 / 靜默（4-part nonce）
- 詳情 / 歷史 / 重診（2-part info）

新增防禦性文件:
- ADR-079 — Phase 5 工作分解 + 每按鈕 checklist
- feedback_no_ghost_buttons.md（memory）— 鬼魂按鈕鐵律

設計原則永久入檔: 寧可沒按鈕，不可有死按鈕

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 20:19:25 +08:00
OG T
ca862c5575 fix(GAP-A4 Phase 2): LLM 路徑 target 救援 — 解開 12 次飛輪攔截
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統帥全景報告診斷（2026-04-14 20:00）：
2h 內 12 次 auto_execute_blocked_unresolved_placeholder
全是 LLM 直接產出 `kubectl ... deployment HostHighCpuLoad`
GAP-A4 Phase 1 只修了 alert_rule_engine._extract_vars
但 LLM 在 decision_manager 路徑沒做同樣檢查 → 12 次擋下 → 0 KM 0 飛輪

修復 (decision_manager._auto_execute placeholder 替換後):
1. 從 action regex 提取 deployment 名（kubectl ... deployment XXX）
2. 套用 alert_rule_engine._is_bad_target() 驗證
3. 若是垃圾（==alertname/unknown/IP）→ 從 incident.signals[0].labels
   重推 (用 _extract_vars 同一套 multi-layer 邏輯)
4. 若有合法 target → action.replace(llm_target, good_target)
5. 若 labels 也救不了 → log target_rescue_failed → safety guard 處理

效果：
- KubePodCrashLooping (有 deployment label) → LLM 即使填錯也救回
- HostHighCpuLoad (純主機，無 K8s label) → 仍進 safety guard，
  但 log 變 target_rescue_failed 而非 unresolved_placeholder
- 12 次飛輪攔截可望大幅減少

回歸：66/66 (GAP-A4 + kubectl validation) 全過

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 20:06:05 +08:00
OG T
914c7e7a90 fix: 9b9ff5b 引發的 NoneAttr bug — incident_id 上移到 Base
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Type Sync Check / check-type-sync (push) Failing after 1m17s
Details 
bug: 'ApprovalRequestCreate' object has no attribute 'incident_id'
Live-fire #6 整個 webhook 500 fail。

根因: 9b9ff5b 在 approval_db 寫 request.incident_id，
但 ApprovalRequestCreate 繼承 Base 沒這 field（只在 ApprovalRequest 才有）。

修復: 把 incident_id 上移到 ApprovalRequestBase
- ApprovalRequestCreate 自動繼承 → webhook 可建帶 incident_id 的 request
- ApprovalRequest 不重複定義
- 786/786 回歸測試全過

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 20:01:47 +08:00
OG T
8b7e9cbfb8 fix(BLOCKER): LLM 連續失敗 — 4 個違反設計處全部修復
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統帥盤點發現飛輪沉默真因：4 個違反既定架構設計的 bug 同時撞車。

P0a — Ollama timeout 違反 GAP-B4 設計
  config.py:OPENCLAW_TIMEOUT 從 120s 改 30s
  原 120s 違反 ADR-052 GAP-B4 (LLM 25s hard timeout) 設計
  致 Ollama 過載時 thread 飢餓 120s 才降級

P0b — AI Router silent skip 觀測性修復
  ai_router.py: not_registered/circuit_open/rate_limit/privacy_skip
  全部累積到 errors 陣列，log all_providers_failed 時可知為何 skip
  原本 errors=["ollama: Timeout"] 但 tried=4 個，無法診斷

P1a — send_text 方法不存在 bug
  ai_router.py:1005 tg.send_text() → tg.send_notification(parse_mode=HTML)
  TelegramGateway 只有 send_notification 沒 send_text
  致 fallback 失敗通知本身失敗（雙重靜默）

P1b — resend_stale_ready_tokens 並發爆炸
  decision_manager.py: 加 asyncio.Semaphore(5) + 200ms throttle
  原本 fire_and_forget N 個 task 同時跑，N=108 時 Ollama embedding
  全部 timeout，包括我打的 live-fire 也被擠爆
  改：max 5 並發 + 每完成喘 200ms

CD 流程審查 (Blocker 1): 完全符合 ADR-039 設計，10-15 min 是預期
不需修，是設計就需要這時間。

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 19:37:03 +08:00
OG T
9b9ff5bec6 fix(critical): approval_records.incident_id 欄位未寫入 — Telegram 卡片找不到 INC 編號
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🚨 統帥實測發現（live-fire #2, #3 反復找不到卡片）:
DB 查詢證據:
  SELECT id, incident_id, telegram_message_id FROM approval_records
  → incident_id=NULL, telegram_message_id=NULL (所有新 approval)

但 incidents 表確實有對應的 INC-20260414-3318E8 / 5C90CC。

根因:
approval_db.approval_request_to_record_data() dict 定義完全沒有 incident_id
欄位。ApprovalRequestCreate schema line 165 明明有 incident_id: str | None，
但轉 record 時被丟掉 → DB 永遠 NULL → Telegram 卡片顯示 INC 號空白。

影響:
- 用戶 Telegram 上根本認不出是哪個 incident 的審核卡
- 人工審核閉環名存實亡（即使批准也無法連回 incident）
- update_telegram_message_id 路徑也無法 fallback 補回（查 NULL 找不到）

修復 (最小侵入):
在 dict 補 "incident_id": request.incident_id

影響範圍零破壞:
- 舊 approval 繼續 NULL (不動)
- 新 approval 此後會正確寫入
- DB schema 本來就有此欄位 (line 280 Mapped[str|None])

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 19:21:11 +08:00
OG T
72dd0c5875 fix: Telegram 簽核 gate + 執行結果 reply — 打通人工審核閉環
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3 處修復（統帥盤查發現）:

1. telegram_gateway.py:4890 — gate 從 execution_triggered 改 approval.status==APPROVED
   - 原 gate 靠樂觀鎖旗標，race 時失效（REST+Telegram 同時簽核）
   - 與 REST API approvals.py:360 路徑對齊
   - 加 Redis lock exec:{approval_id} 60s TTL 防重入

2. telegram_gateway.py:4772 — 拿掉「👀 等待執行」誤導文案
   - 批准後一律顯示「⚡ 執行中...」，實際結果由 #3 reply 補上

3. approval_execution.py — 新增 _push_execution_result_to_alert()
   - 成功/失敗兩處 fire-and-forget 呼叫
   - requested_by=="auto_approve" skip（避免與 _push_auto_repair_result 衝突）
   - Redis tg_msg:{incident_id} 查原告警 message_id → reply_to
   - 找不到 message_id 靜默不發，不影響執行主流程

防破壞性檢查：
- ✅ 自動執行路徑不受影響（skip via requested_by）
- ✅ Reject 路徑完全不動
- ✅ Redis lock 防重入
- ✅ 132 回歸測試全過

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 19:03:38 +08:00
OG T
aa4e5757a2 fix: 技術債清理 — report_generation 重試機制 + GAP-A4 文件化
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技術債 #1: postmortem 發送失敗靜默吞掉
- 3 次指數退避重試 (2s → 4s → 6s)
- 全失敗後送簡化降級通知到 SRE 群組
- 防止事後檢討默默消失

技術債 #2 (QueryBuilder 抽象): DEFER
- 全專案僅 1 處用 outcome JSON path query
- 違反「Don't design for hypothetical future requirements」
- 待第二 caller 出現再抽

技術債 #3 (E2E 測試): 已涵蓋
- test_gap_a4_placeholder_resolution.py TestMatchRuleRejection
- Mission C prod 鏈路實測（KubePodCrashLooping）
- Playwright K8s/Telegram staging 留待 staging 環境就緒

新增文件:
- ADR-078-gap-a4-placeholder-resolution.md
- LOGBOOK 2026-04-14 深夜收官條目

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 18:46:25 +08:00
OG T
10b74affcf fix(GAP-A4): 規則 Action 模板 placeholder 解析修復 — 解開 8.3h 飛輪沉默
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🚨 真因診斷（統帥逮到）:
API log 顯示最近 1 小時爆發大量 auto_execute_blocked_unresolved_placeholder:
  - action: "kubectl rollout restart deployment HostHighCpuLoad"  ← target=alertname
  - action: "kubectl rollout restart deployment unknown"
  - action: "kubectl scale deployment unknown --replicas=3"

根因：alert_rule_engine._extract_vars() target 解析邏輯不夠強健，
當 Prometheus 告警無 deployment label 時，退回 alertname 或 "unknown"，
產生垃圾指令。GAP-A1 防注入閘正確攔下，但自動修復路徑因此卡死，
KM 不寫入 → 飛輪沈默。

修復（三層防護）:

1. 新增 _strip_pod_suffix() — K8s Pod 名稱還原 Deployment base
   - Deployment 格式: awoooi-api-7d6b776f78-4sgjl → awoooi-api
   - StatefulSet: postgresql-0 → postgresql
   - Legacy: my-job-x2m4k → my-job

2. 新增 _is_bad_target() — 垃圾 target 識別
   - 空串 / "unknown" / "none" / "null"
   - target == alertname 本身
   - IP:port 格式、純 IP、含空白/括號/引號
   - 未解析 {placeholder}

3. 重寫 _extract_vars() — 多層 label 查找（權威優先）:
   deployment > app > statefulset > pod(去後綴) > container > service > target_resource
   每層都過 _is_bad_target 驗證，全失敗 → target="unknown"

4. match_rule() 後置雙驗證:
   - bad target → 清空 kubectl_command (降級 LLM)
   - 殘留 { or } → 清空 kubectl_command (模板未填完)

測試覆蓋：
- 33 個新單元測試（GAP-A4 四大場景全覆蓋）
- 214/214 回歸測試全過

影響：
- 原本產出「kubectl rollout restart deployment HostHighCpuLoad」的路徑
  → 現在會 `rule_kubectl_command_discarded_bad_target` 並降級 LLM
- LLM 若能從錯誤 log 推理真實 deployment，飛輪恢復正常運轉
- 若 LLM 也無解，進 TYPE-4 人工扶梯

2026-04-14 Claude Sonnet 4.6（MASTER 藍圖之外的隱性 Bug 殲滅）

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 18:43:29 +08:00
OG T
f54dea48b1 fix(GAP-D5): 日度報告 DB 欄位修正
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兩處 import/查詢錯誤修復（統帥 E2E 預覽發現）:

1. _collect_repair_stats: ApprovalRequestRecord 不存在
   → 改用 IncidentRecord + outcome JSON 路徑查詢 execution_success

2. _collect_playbook_count: PlaybookRecord 不存在
   → 改用 playbook_service.list_playbooks() (Redis 儲存)

修復前：修復成功率永遠 0.0%、活躍 Playbook 永遠 0
修復後：報告數字反映真實 DB/Redis 狀態

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 18:32:29 +08:00
OG T
8de807c40d feat(GAP-D5 Task 4.2): Postmortem 自動組裝 hook
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incident_service.resolve_incident() 結尾 fire-and-forget 呼叫
report_generation_service.trigger_postmortem()，補完孤兒服務的觸發路徑。

觸發條件（由 trigger_postmortem 內部判斷）:
- duration > POSTMORTEM_MIN_DURATION_MINUTES (10min)
- 含 AI root_cause / resolution_action / provider / auto_repaired

背景:
- report_generation_service.py 539 行服務於先前 session 建立
- main.py:322 已啟動 run_daily_report_loop（Task 4.1 ✅）
- trigger_postmortem 在 src/ 下無呼叫方 → 本 commit 補上

MASTER 藍圖 Phase 4 至此完整收官：
✅ Task 4.1 日度巡檢報告（08:00 台北排程，生產環境已跑）
✅ Task 4.2 Postmortem 自動組裝（本 commit 接上 resolve hook）

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 18:25:15 +08:00
OG T
dd0a778e1f feat(GAP-B4): LLM 超時降級扶梯 — 精確化內層 timeout
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Details 
_dual_engine_analyze 強化（2026-04-14 Claude Sonnet 4.6）:
- OpenClaw LLM 呼叫獨立 25s hard timeout（留 5s 給後續處理）
- 超時時明確 llm_timeout_fallback 日誌，立即降級 Expert System
- NemoClaw second opinion 加 3s timeout（advisory 不拖累主流程）
- 保留外層 decide() 30s wait_for 作為 defence-in-depth

為何要做：
- 外層 30s 會把 LLM 卡死整段吃光，thread pool 可能飢餓
- 內層 25s 更早降級 → Expert System 仍能在 SLA 內回應
- LLM timeout 與其他異常用不同日誌標記，便於 SLO-2 監控

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 15:51:23 +08:00
OG T
dedd7c2c17 feat(BP-1): KM 萃取品質精修 — 區分自動/人工 + 富化告警元資料
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_write_execution_result_to_km() 強化：
- 依 approval.requested_by 區分 [自動修復]/[人工修復]
- 從關聯 Incident 提取 alertname / alert_category / affected_services
- Category 從硬編 "execution_result" 改為真實 alert_category
- Tags: auto_executed/human_approved + success/failure + alert_category
- Title 含 alertname，提升 RAG 檢索精準度
- created_by 依模式標記 auto_execute / approval_execution

驗證（2026-04-14 DB 查詢）：
- 現有 KM 確實有寫入（approval_execution 建立者）
- 但標題全是「[執行記錄] ❌ kubectl rollout restart deployment/xxx」
- Category 硬編 execution_result，tags 只有 execution/execution_failed
- 本次改造後 KM 將具備完整上下文供下次 RAG 檢索

建立: 2026-04-14 台北時間 Claude Sonnet 4.6（MASTER 藍圖 BP-1 B.1 精修）

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 15:48:02 +08:00
OG T
aae7c12645 feat(adr-076): Task 3.3 — SSH 修復 KM 萃取（補齊飛輪雙手）
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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
cc42aa0bdb feat(adr-076): Task 2.2 + 2.3 — 規則擴充 + kubectl 注入防護
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Task 2.2: alert_rules.yaml 新增 3 類規則 (priority 125-127)
  - gitea_down: Gitea CI/CD 下線 → NO_ACTION (priority 125, critical)
  - ssl_cert_expiring: SSL 憑證到期 → NO_ACTION (priority 126, medium)
  - external_site_down: MoWoooWork/Dev/Blackbox probe → NO_ACTION (priority 127, medium)
  規則總數: 21 → 24

Task 2.3: alert_rule_engine.py kubectl 注入防護
  - _RULE_ENGINE_DESTRUCTIVE_RE: 阻擋 delete pvc/namespace/statefulset/deployment,
    drain/cordon, --replicas=0, rm -rf, DROP TABLE, $() 反引號
  - validate_kubectl_command(): 公開 API，SSH 指令/空字串直接通過
  - match_rule() 整合: 變數替換後驗證，阻擋時清空 + log warning
  - test_alert_rule_engine_validation.py: 34 tests (100% 通過)

測試: 776 passed, 26 skipped, 0 failed

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-14 15:10:10 +08:00
OG T
684d6cfb43 feat(adr-076): 戰術 B 四大 Task 全部完成 — 告警聚合+重試+自動報告
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Details 
Task 2: AlertGroupingService — Redis 5分鐘滑動視窗，防告警風暴
- apps/api/src/services/alert_grouping_service.py (新增)
- webhooks.py 整合：指紋生成後/LLM前短路子告警
- Threshold=3，Graceful Degradation，16 tests

Task 3: approval_execution.py 執行失敗重試
- MAX_RETRY=2, RETRY_DELAY_SECONDS=30
- _is_transient_error() 瞬態/永久分類，永久錯誤不重試
- Timeline 記錄重試進度，成功後標注重試次數，29 tests

Task 4: report_generation_service.py 自動報告
- 日度巡檢報告：每日 08:00 台北時間，Telegram SRE 群組推送
- Postmortem：Incident resolved + duration > 10 分鐘自動觸發
- main.py lifespan 掛載 run_daily_report_loop()，30 tests

測試: 600 → 675 通過 (+75)，0 failed

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 14:39:14 +08:00
OG T
c0ba1000f3 Revert "fix(auto-repair): 中低風險+無kubectl_command → TYPE-1 純資訊，不顯示審核按鈕" 
This reverts commit abf1ffa91e7327a36af93be2742d53dac1933f0d.
 2026-04-14 13:33:24 +08:00
OG T
2df4945880 fix(auto-repair): 中低風險+無kubectl_command → TYPE-1 純資訊，不顯示審核按鈕 
問題: HostHighCpuLoad 等主機層告警 affected_services=[] → OpenClaw 生成
kubectl unknown → safety guard 攔截 → 退回 READY + TYPE-3 帶按鈕卡片
用戶一直看到帶按鈕的中/低風險告警，按鈕無法修復任何東西

修復三處:
1. openclaw.py: _call_openclaw_analyze() 回傳 suggested_action 欄位
   + target_resource 預設改為 "" (避免 "unknown" 進入 safety guard)
2. decision_manager.py: classify_notification() 傳入
   suggested_action / risk_level / has_kubectl_command
3. telegram_gateway.py: classify_notification() 新規則 —
   無 kubectl_command + risk=low/medium + action=investigate/no_action
   → TYPE-1 (純資訊，無按鈕)

搭配 clawbot-v5 f4b84d7 (OpenClaw prompt CRITICAL RULES) 一起生效

2026-04-14 Claude Sonnet 4.6 Asia/Taipei

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-14 13:33:24 +08:00
OG T
38ff2bb7a5 fix(heartbeat): 改用 ADR-075 TYPE-1 格式 — 💚 INFO 樹狀結構
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舊平鋪文字 → ├─/└─ 樹狀結構對齊 ACTION REQUIRED 卡片風格
- 標題: 💚/⚠️ INFO | AWOOOI 系統報告
- 加 ────── 分隔線
- AI/MCP/飛輪/基礎設施各節統一 ├─/└─ 格式

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 22:52:05 +08:00
OG T
f1face4e34 fix(alert-rules): HostHighCpuLoad 獨立規則，停止 kubectl scale unknown
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根因: HostHighCpuLoad 是 node_exporter host 告警，無 pod/deployment label
      被分到 K8s high_cpu 規則 → {target}=unknown → auto-repair 安全攔截

修復: 新增 host_cpu_high 規則 (priority=45)，NO_ACTION + 正確描述
     high_cpu 規則移除 HostHighCpuLoad/NodeCPUUsageHigh

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 22:50:37 +08:00
OG T
1a4b52ed28 fix(alert): fingerprint 加 alertname 防跨告警指紋衝突 + 補入缺漏心跳分類
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問題根因：
1. generate_fingerprint 用 alert_type（大量 alertname 落入 "custom"）
   → 不同告警名稱同目標共用指紋 → 30 分鐘 debounce 互相擋截
2. classify_alert_early 漏掉 DeadMansSwitch / NoAlertsReceived /
   PrometheusNotConnectedToAlertmanager → 落入 TYPE-3 一般告警

修復：
- alert_analyzer_service.py: 指紋改為 namespace:deployment:alertname:target_resource
  alertname 取自 labels（Alertmanager），fallback 到 alert_type（其他來源）
- incident_service.py: DeadMansSwitch → backup/TYPE-1；
  NoAlertsReceived + PrometheusNotConnectedToAlertmanager → alertchain_health/TYPE-8M
- 補 2 個測試，全套 627 passed

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 22:50:20 +08:00
OG T
b17a677b97 fix(gitea-webhook): analysis.model_dump() 對 dict 失敗
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_call_openclaw_push_review 回傳 dict，不是 Pydantic model
改用 hasattr 判斷是否有 model_dump()

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 22:45:09 +08:00
OG T
0c88f6702e fix(ai-router): DIAGNOSE 強制用 deepseek-r1:14b，不用 gemma3:4b
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gemma3:4b (summary model, complexity≤1) 不輸出結構化 JSON
→ _parse_llm_response 無法提取 confidence → confidence=0.0

deepseek-r1:14b (default model) 已驗證可輸出 confidence=0.8

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 22:43:49 +08:00
OG T
db4d4280f5 test(ai-router): 更新 DIAGNOSE routing 測試反映暫停 NEMOTRON 現況
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Details 
NEMOTRON 因 confidence=0.0 問題暫停，改走複雜度路由（None）
待 _parse_confidence() 修復後恢復

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 22:22:52 +08:00
OG T
09134f5c47 fix(openclaw): 修復 incident.title + DIAGNOSE→NEMOTRON confidence=0.0
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Details 
1. telegram_gateway.py:1169 — classify_notification() 仍用 incident.title
   改用 alertname + signal annotations 組合 (同 decision_manager.py 修法)

2. ai_router.py — DIAGNOSE 路由暫停 NEMOTRON
   NIM tool_call 返回無 confidence → openclaw_analysis_complete confidence=0.0
   改為 None (複雜度路由)，讓 Gemini/openclaw_nemo 處理 DIAGNOSE

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 22:12:55 +08:00
OG T
b3d4b9c8a9 test(telegram): 修正 test_telegram_message_templates 斷言
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Details 
CRITICAL → 嚴重 (ADR-075 中文風險等級)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 21:20:16 +08:00
OG T
01e6d75ee7 test(telegram): 修正測試斷言符合 ADR-075 中文風險等級
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Details 
HIGH→高風險, MEDIUM→中風險 (test_sentry / test_github webhook)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 21:08:48 +08:00
OG T
9c8dde0951 fix(telegram): 修復 Incident 無 title 欄位導致所有 Telegram 推送失敗
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Details 
根因: _push_decision_to_telegram() 有兩處引用 incident.title，
但 Incident model 從來沒有此欄位，導致所有告警卡片推送都
拋 AttributeError，事件在 telegram_decision_push_failed 靜默失敗。

修法:
- line 188: message 改用 signal annotation summary/description/alert_name
- line 249: TYPE-1 title 改用 alertname label / signal.alert_name

影響: 自從 decision_manager 加入這兩行以來，所有 Telegram 通知都沒發出
（包含 TYPE-1 資訊通知和 TYPE-3 審批卡）

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 21:02:55 +08:00
OG T
3d8b0e4f90 fix(adr075): TYPE-3 格式改用 spec 模板 — ACTION REQUIRED + AI深度診斷 + 建議修復動作
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Details 
- 標頭改為 "{emoji} ACTION REQUIRED | {severity_zh}"
- 新增 "🧠 AI 深度診斷" 區塊 (分析/責任/AI來源)
- 新增 "⚡ 建議修復動作" 區塊 (<code> 格式)
- confidence=0 顯示 "📋 規則分析" 取代誤導性 "🔴 0%"
- SignOz 指標區塊補回 Trace 連結

2026-04-12 ogt: ADR-075 TYPE-3 格式標準化

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 21:00:28 +08:00
OG T
a7f2b9c0f5 fix(display): 規則匹配改顯示 ✅ 取代 🔴 0% + 修復 LLM 字串 confidence 解析
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- telegram_gateway.py: confidence==0 (規則匹配/Expert fallback) 不再顯示
  「🔴 0%」，改顯示「⚙️ 規則匹配 ✅」，兩個 card 類型都修正
- openclaw.py: NIM/Ollama 有時回傳字串 "0.85" 而非 float，導致
  isinstance(str, int|float)=False → confidence 被強制設 0.0。
  現在先嘗試 float() 解析，解析失敗才 fallback 0.0

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 20:50:53 +08:00
OG T
eda0cfd034 fix(adr075): drift 通知改用 send_drift_card，補齊所有呼叫點
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Details 
- drift.py: 移除死碼 send_text()，改由 narrate_and_notify() 統一發卡片
- drift_narrator_service: _send_telegram() 改呼 send_drift_card() 帶四顆按鈕
- webhooks.py /alerts 路徑: 補傳 alert_category 啟用動態按鈕

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 20:20:47 +08:00
OG T
c3fea26222 fix(adr075): webhooks send_approval_card 補傳 alert_category+notification_type
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斷點真正根因：_push_to_telegram_background 呼叫 send_approval_card()
時沒有傳入 alert_category 和 notification_type，導致動態按鈕永遠
fallback 到通用 [批准][拒絕][靜默]。

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 20:07:12 +08:00
OG T
0a4b7e9609 fix(classify): HostBackupFailed 精確補入 backup/TYPE-1（測試通過）
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前次修法用 'backup' in alertname_lower 太寬，導致 BackupJobFailed warning
被分到 TYPE-1，破壞 test_backup_keyword_warning_not_type1。

改為精確白名單：
  _BACKUP_TYPE1_NAMES = {HostBackupFailed, HostBackupStale, HostBackupMissing,
                         BackupRestoreTestFailed, BackupRestoreTestStale}
  + alertname.startswith('HostBackup') 兜底

結果：664 passed, 0 failed

2026-04-12 ogt

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 20:03:46 +08:00
OG T
f25d82a88a fix(adr075): 修補斷點E — _push_to_telegram_background 補 TYPE-8M routing
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斷點E：alertmanager webhook 走 _push_to_telegram_background，
未含 TYPE-8M branch，導致 meta alert 從未送出。

- webhooks.py: 新增 alert_category 參數 + TYPE-8M branch
- incident_service.py: 還原 rule 5 僅攔 watchdog/heartbeat，
  移除誤加的 backup startswith 規則（VeleroBackup 由 K8s rule 接管）

Tests: 52/52 passed

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 20:01:51 +08:00
OG T
1f7975170a fix(classify): HostBackupFailed 補入 backup/TYPE-1 規則
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CD Pipeline / build-and-deploy (push) Failing after 1m51s
Details 
classify_alert_early() 的 backup 規則只攔 watchdog/Heartbeat，
HostBackupFailed 先被 Host prefix 規則攔走 → host_resource/TYPE-3 → 跑 LLM → 審批卡。

修法：在 Host prefix 前新增 backup 關鍵字/前綴攔截：
  - HostBackup* / Backup* / VeleroBackup* / BackupRestore*
  - alertname 含 "backup"（大小寫不敏感）

影響：所有備份相關告警直接走 TYPE-1 info 通知，不進 LLM。
HostHighCpu / HostDown 等非備份的 Host 告警不受影響。

2026-04-12 ogt

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 19:52:05 +08:00
OG T
a5f17cea79 fix(notification): TYPE-1 backup/info 告警不再發審批卡
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Details 
classify_notification() 不知道 alert_category，對 backup 告警
（confidence=0, auto_executed=False）返回 TYPE-3，覆蓋掉
classify_alert_early() 已設好的 notification_type=TYPE-1。

修法：在路由分支前，讓 incident.notification_type 明確值
（TYPE-1 / TYPE-4D / TYPE-8M）覆蓋 classify_notification()。

影響：backup/info/watchdog 告警只發 send_info_notification()，
不再噴帶按鈕的審批卡到 Telegram。

2026-04-12 ogt (ADR-075 bugfix)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 19:49:31 +08:00
OG T
7f3e585d6d fix(webhooks): alertmanager handler — alert_type 超範圍改為 custom
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AlertPayload.alert_type 只接受 8 個 Literal 值
ALERTNAME_TO_TYPE 映射回傳 host_cpu/backup_failure 等不在白名單 → ValidationError
修法：凡不在 Literal 白名單的 alert_type 一律 fallback 為 "custom"

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 19:22:35 +08:00
OG T
bc2665ef6b feat(adr075): Step-5 decision_manager TYPE-5S/TYPE-6B 路由分支
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- 新增 secops elif：alert_category=secops → send_secops_card()
  (resource, threat_behavior 從 incident.signals labels 提取)
- 新增 business elif：alert_category=business → send_business_alert()
  (metric_name/current_value/threshold 從 Prometheus labels 提取)
- TYPE-7E escalation_monitor 標記 out-of-scope (ADR-075 範疇外)
- 兩分支均加 2026-04-12 ogt (ADR-075 Step-5) 變更標記

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 19:12:35 +08:00
OG T
24c1b5677b feat(adr075): Step1-3 classify補丁+新按鈕+TYPE-5S/6B/7E格式函數 
Step-1 incident_service.py classify_alert_early():
  - 新增 secops (TYPE-5S): UnauthorizedSSH/KubeAudit/CVE/WAFAttack/PodAbnormal
  - 新增 business (TYPE-6B): AITokenCost/GeminiAPIError/SLOBurn/MomoScraper
  - 新增 flywheel_health MCPProvider/OllamaDown/NemotronDown 前綴
  - ssl_cert: 依 days_remaining 決定 TYPE-1(≥14d) vs TYPE-3(<14d)

Step-2 telegram_gateway.py _build_inline_keyboard():
  - 新增 secops: [隔離] [封鎖IP] [驅逐] [確認授權]
  - 新增 business: [暫停1h] [查SignOz] [忽略]
  - 新增 flywheel_health: [觸發診斷] [飛輪面板] [靜默]

Step-3 telegram_gateway.py 新增格式化函數 (Tier 2):
  - send_secops_card() — TYPE-5S 防禦按鈕+nonce
  - send_business_alert() — TYPE-6B 業務損失速率
  - send_escalation_card() — TYPE-7E P0/P1 升級，發 DM+群組

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 18:50:37 +08:00
OG T
65a5220e16 feat(flywheel-c2-c3): C2 hasType4接真實API + C3 WebSocket指數退避重連
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CD Pipeline / build-and-deploy (push) Failing after 3m41s
Details 
C2: flywheel_stats_service 加 type4_count query → API 回傳
    flywheel-diagram.tsx hasType4 改由 type4Count prop 驅動（非 false）
    flywheel-kpi-card.tsx 傳入 type4Count={flowData?.type4_count}

C3: WebSocket onclose 加指數退避重連 (1s→2s→4s→最大30s)
    cancelled 旗標確保 unmount 後不重連
    wsRetryTimer 加入 cleanup

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 18:45:40 +08:00
OG T
1cb654cf59 fix(adr-075): CR P0/P1 修補 — TYPE_8M enum + 死碼清理 + docstring 更新
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P0-2: NotificationType 新增 TYPE_8M = "TYPE-8M"
      classify_notification 早期回傳 TYPE-8M
      decision_manager 改用 NotificationType.TYPE_8M enum 比較（移除字串字面量）
P1-1: 移除 _CATEGORY_BUTTONS 中不可達的 alertchain_health/flywheel_health 條目
P1-4: test_classify_alert_early.py docstring 更新為 13 條規則/10 分類

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 18:44:12 +08:00
OG T
561c1d806b feat(adr-075): Phase 2 — TYPE-8M 飛輪/告警鏈路健康通知格式與路由
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Details 
新增 send_meta_alert() — ⚙️ META SYSTEM 卡片（觸發診斷/查看面板/靜默）
decision_manager 新增 TYPE-8M elif 分支（在 TYPE-4D 後）
_alert_category 提取提前至 if 鏈前，三個分支共用

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-12 18:39:04 +08:00