Commit Graph

357 Commits

Author SHA1 Message Date
OG T
cd37befbe6 fix(models): 全面替換 datetime.UTC → timezone.utc 相容 Python 3.10
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terminal.py, incident.py, utils/timezone.py 同樣問題。
CI runner Python 3.10 無 UTC 常數,導致所有模型靜默 import 失敗。

# 2026-04-06 ogt: 完整修復,不再有漏網之魚

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-06 12:40:27 +08:00
OG T
59c3dfb910 fix(models): approval.py 改用 timezone.utc 相容 Python 3.10
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Type Sync Check / check-type-sync (push) Failing after 52s
CI runner 用 Python 3.10,datetime.UTC 是 3.11 才加入。
改用 datetime.timezone.utc 全版本相容,修復 CI type-sync 全量失敗。

# 2026-04-06 ogt: root cause — CI Python 3.10 無法 import UTC

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-06 12:19:23 +08:00
OG T
f6332b4b2f fix(telegram): 修正 approval_id UUID 轉換錯誤 — 支援 INC-xxx 格式
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_execute_approval_action 用 UUID(approval_id) 但 approval_id 是 INC-xxx,
導致 'badly formed hexadecimal UUID string' 錯誤,簽核無法執行。

修正: 先嘗試 UUID 轉換,失敗則用 incident_id 查出對應的 pending approval UUID。

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-06 11:53:48 +08:00
OG T
658337ec18 fix(phase26): 打通 Incident→DB→KM 完整鏈路 + namespace 修正
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問題根因:
1. create_incident_for_approval 只存 Redis,不存 PostgreSQL
   → TTL 7天後消失,Playbook 萃取永遠找不到 Incident
2. ApprovalRecord 無 incident_id 欄位
   → _trigger_playbook_extraction 靠 regex 掃中文文字找 INC-,永遠失敗
3. operation_parser namespace fallback 是 "default"
   → 所有 deployment 在 awoooi-prod,203 次執行全失敗

修復:
- Incident 同時寫入 Redis + PostgreSQL (save_to_episodic_memory)
- ApprovalRecord 加入 incident_id 欄位 (model + ORM + migration)
- alertmanager_webhook 建立 Approval 後回寫 incident_id
- _trigger_playbook_extraction 直接用 approval.incident_id
- operation_parser DEFAULT_NAMESPACE = "awoooi-prod"

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-06 11:46:05 +08:00
OG T
286a96d1aa fix(knowledge): entrystatus enum 大小寫修正 'archived' → 'ARCHIVED'
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-06 11:25:44 +08:00
OG T
09d965dab5 fix(telegram): 修正 editMessageText 400 錯誤 — 先移除按鈕再更新文字
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原因: original_text 來自 message.text (純文字),含 <>&等字符,
     用 parse_mode=HTML 發送時 Telegram 返回 400。

修正:
1. 先呼叫 editMessageReplyMarkup 移除按鈕 (確保按鈕一定消失)
2. 再 html.escape(original_text) 後嘗試更新文字
3. 文字更新失敗不影響整體流程 (按鈕已移除為首要目標)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 22:13:54 +08:00
OG T
5499169996 feat(auto-repair): 打通自動修復閉環 (ADR-058)
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Type Sync Check / check-type-sync (push) Failing after 53s
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
a83253da0e fix(gitea-webhook): X-Gitea-Signature 為純 hex,無 sha256= 前綴
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Gitea 送出的簽章 header 是純 hex digest,不含 "sha256=" 前綴。
修正驗證邏輯兼容兩種格式(sha256= 前綴自動去除,否則直接用)。

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 15:15:36 +08:00
OG T
8220027298 fix(telegram+cd): 兩個顯示 bug 修正
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1. Nemotron args 顯示 Python dict 字串問題
   - restart_deployment: {'deployment_name': 'awoo'} → restart_deployment: deployment_name=awoooi-api
   - 改用 key=value 格式化,不再使用 str(dict)[:25]

2. CD 通知 ${MINUTES}/${SECONDS} 等變數未展開
   - TG_MSG 從 env: 移到 run: shell 中組裝
   - env: 中的 shell 變數在 bash 執行前是靜態字串,無法展開

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 14:47:52 +08:00
OG T
59e7879dfb feat(webhook): Task 5 — tests GitHub→Gitea (ADR-059)
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- test_gitea_webhook.py: 10 tests, X-Gitea-* headers
- conftest.py: GITEA_WEBHOOK_SECRET / GITEA_ALLOWED_REPOS

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 14:45:32 +08:00
OG T
23364423fa feat(webhook): ADR-059 GitHub → Gitea Webhook 遷移完成
- gitea_webhook.py: Header 全部改 X-Gitea-*,移除 workflow_run handler
- gitea_webhook_service.py: _fetch_pr_diff 改直接 httpx,不依賴 github_api_service
- 清除兩個檔案的所有殘留 github_ log key,review_id prefix 改 gitea-
- test_gitea_webhook.py: 10/10 通過,docstring 修正
- 03-secrets.yaml: 新增 GITEA_WEBHOOK_SECRET 佔位
- cd.yaml: 新增 GITEA_WEBHOOK_SECRET 注入步驟
- ADR-059: 建立架構決策文件

待統帥操作: Gitea Actions secret + Gitea UI Webhook 設定

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 14:44:32 +08:00
OG T
b2c0148f2b feat(webhook): Task 3 — gitea_webhook.py router (ADR-059)
- 新增 Gitea Webhook Router: X-Gitea-Event/Signature/Delivery
- 支援 pull_request / push / ping,移除 workflow_run
- review_id prefix 改為 gt-pr-* / gt-push-*

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 14:41:12 +08:00
OG T
6777532534 feat(webhook): Task 1+2 — config + service GitHub→Gitea 遷移 (ADR-059)
- config.py: GITHUB_WEBHOOK_SECRET/ALLOWED_REPOS → GITEA_*
- 新增 gitea_webhook_service.py: PR/Push review only, 移除 CI diagnosis
- 移除 CIFailureDiagnosis, diagnose_ci_failure, _call_openclaw_ci_diagnosis

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 14:33:58 +08:00
OG T
84f1f9f021 refactor(config): GITHUB_WEBHOOK_SECRET → GITEA_WEBHOOK_SECRET (ADR-059) 2026-04-05 14:25:47 +08:00
OG T
22ee9b2fe3 fix(telegram): answerCallbackQuery result=true 導致 bool is not iterable
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Telegram answerCallbackQuery 成功時返回 {"ok": true, "result": true},
_send_request 中 "message_id" in result["result"] 對 bool 做 in 操作
報 "argument of type 'bool' is not iterable"。

修正:加 isinstance(result_val, dict) 防禦後再做 in 檢查。

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 14:20:54 +08:00
OG T
4b4007db6c feat(telegram): SRE 群組告警格式升級為完整 v7.0
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_send_approval_card_to_group 改用與個人 chat 相同的 TelegramMessage.format()
格式,包含 SignOz metrics、AI provider/model、Nemotron 協作、異常頻率統計等全部欄位。

統帥指示:群組收到的告警訊息要與個人 chat 格式完全一致。

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 14:11:59 +08:00
OG T
76f3ffd7f7 fix(telegram): whitelist property 返回字串導致按鈕無反應
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security_interceptor.whitelist 返回 settings.OPENCLAW_TG_USER_WHITELIST
(字串),但 is_whitelisted 做 user_id in whitelist(int in str),
Python 報 "requires string as left operand, not int"。

修正:改呼叫 settings.get_tg_user_whitelist() 返回 list[int]。

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 13:40:52 +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
665f93e83f fix(telegram): 首席架構師 R1 修正 — I-1/I-2/M-1/M-2
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I-1: webhooks/sentry_webhook/signoz_webhook 三個呼叫者補 TODO 說明
     無 incident_id 是已知限制(Approval 路徑未建 Incident 關聯)
I-2: TestPushRequest 新增 incident_id 欄位,使 QA 可驗證按鈕渲染
M-1: 移除 _build_inline_keyboard 呼叫中多餘的 `or message.incident_id`
M-2: 補充 900/1000 截斷長度差異說明

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 13:07:42 +08:00
OG T
4935cfc346 fix(telegram): 重設計訊息格式 + 修復 detail/reanalyze/history 按鈕失效
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- format() / format_with_nemotron(): 移除 ═══ 分隔符,改為簡潔換行佈局
- send_approval_card(): 新增 incident_id 參數,傳入 _build_inline_keyboard()
- decision_manager.py: 呼叫 send_approval_card() 時傳入 incident.incident_id
- 問題根因: incident_id 未傳入 _build_inline_keyboard() 導致第二排按鈕從未渲染

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 12:44:13 +08:00
OG T
53e1ae7ad7 fix(phase25): I2 NIM system prompt + I4 field_path 正則匹配修正
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I2: nemotron.analyze() 補上 system role (NIM 標準 message format)
    - 舊: messages=[{role:user, ...}]
    - 新: messages=[{role:system, ...}, {role:user, ...}]
    - 效果: K8s operator 角色定義,改善 tool calling 品質

I4: drift_detector._is_allowlisted/_is_critical 用正則取代 strip
    - 舊: replace('[*]','') 後 startswith/in → 無法匹配 containers[0]
    - 新: [*] → \[\d+\] 正則,正確匹配所有索引
    - 修復: containers[*].image 現在能匹配 containers[0].image
2026-04-05 12:11:05 +08:00
OG T
73577f7c5d chore(ai-router): v4.3 版本號同步 (trigger CD push event)
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2026-04-05 12:03:15 +08:00
OG T
76f7330c9d feat(api): POST /playbooks/ 建立端點 + seed-repair-playbooks.py (Task 14)
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- playbooks.py: 新增 POST / 端點供直接建立 Playbook (seed/管理用)
- seed-repair-playbooks.py: 5個 Host Repair Playbooks (ssh_command)
  sentry/harbor/gitea/alertmanager (110) + openclaw (188)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 11:53:49 +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
e7d8da85f6 feat(api): HostRepairAgent — SSH 主機層修復 (Task 11)
- host_repair_agent.py: layer路由、command injection防護、asyncio SSH執行
- 測試: 12 cases 全通過 (routing/sanitize/success/fail/timeout/denied)
- SSH key: /etc/repair-ssh/id_ed25519 (K8s secret mount)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 11:22:00 +08:00
OG T
7a6fa6359e feat(api): Sentry init 加入統一 layer/component 標籤
對齊 Prometheus 告警標籤規範 (layer/component/team)
讓 Sentry 事件與 auto_repair 路由決策保持一致

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 11:10:40 +08:00
OG T
2243a21b96 fix(ai-router): v4.3 NIM 保護 — timeout 不計 CB 失敗,每次先跑 NIM 才切 Gemini
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需求: NIM 必須等到有回應才切換,不能因為慢就被 CB 封鎖走 Gemini

變更:
- Timeout exception 不累積 CB failure(只有真實連線錯誤才計)
- NIM CB: failure_threshold=10, recovery_timeout=30s(比預設寬鬆)
- 設計文件 v4.3: 更新方向二,移除錯誤假設

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 01:51:12 +08:00
OG T
5ad403b287 fix(p0): v4.3 — 實測確認 Ollama CPU-only 不可用,DIAGNOSE 統一走 NIM
實測依據 (2026-04-05):
- Ollama llama3.2:3b CPU-only: 238s 回 {"ok":true},生產不可用
- Nemotron NIM: 2.2s~27.3s,avg 10.6s,一直是主力(Phase 22 起)
- NIM 從未有隱私問題,Incident 資料一直送雲端 GPU

變更:
- ai_router.py: _local_fallback_chain 廢棄(空 list)
- ai_router.py: DIAGNOSE route/route_sync 改回 _full_fallback_chain
- config.py: 更新 timeout 說明反映實測結果
- test_p0_diagnose_routing.py: 更新 docstring

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 01:49:06 +08:00
OG T
a81bf50537 feat(drift): ADR-057 adopt() Gitea PR API 實作
- DriftAdoptService: 透過 Gitea REST API 建立 branch + commit + PR
  不在 API Pod 內執行 git(修復 C2 安全漏洞)
- adopt() 端點: 501 → 真實實作(呼叫 DriftAdoptService)
- config.py: 新增 GITEA_API_URL / GITEA_API_TOKEN / GITEA_REPO_OWNER / GITEA_REPO_NAME
- K8s secret awoooi-secrets 已注入 GITEA_API_TOKEN
- drift.py: 移除 trigger_drift_scan 中未使用的 interpreter 變數

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 00:39:29 +08:00
OG T
f4f454fd98 feat(api): 重開機後自動 warm-up Redis Working Memory from PostgreSQL
- main.py lifespan: 啟動時從 DB restore INVESTIGATING/MITIGATING incidents
- scripts/reboot-recovery: 188 + 110 自動化腳本 + systemd services
- scripts/reboot-recovery: aiops-network 自動建立 (ClawBot 依賴)
- docs/runbooks/REBOOT-RECOVERY-SOP.md: 完整改寫,含自動化腳本說明

Why: 重開機後 Redis 清空導致前端 incidents 顯示 0 筆(DB 完整保存)
統帥批准: 「所有數據必須被長久記錄下來」

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 00:39:20 +08:00
OG T
96d5e18924 fix(p0): 實測修正 — timeout 依 benchmark 調整,_local_fallback_chain 移除雲端 Nemotron
- config.py: NEMOTRON_DIAGNOSE_TIMEOUT_SECONDS=60s (NIM 實測 11-45s + 15s buffer)
- config.py: OLLAMA_DIAGNOSE_TIMEOUT_SECONDS=200s (Ollama 實測 ~173s + 27s buffer)
- ollama.py: 新增 per-task timeout (diagnose/force_local 用 200s)
- ai_router.py: _local_fallback_chain 移除 Nemotron (NIM=雲端,不可進 local chain)
- ai_router.py: v4.2 — Option C 分情境路由正式確立

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 00:29:09 +08:00
OG T
4912c7f307 fix(phase25): 首席架構師 Review R2 修正 (I1/I2/I3/I4/C3/M1)
I1: auto_repair_service — 失敗分支 anti_pattern task 補齊 _pending_tasks GC 防護
C3: drift_remediator — _kubectl_apply() 實作 resource_key 範圍過濾(修復虛設參數 bug)
M1: drift_remediator — _git_push() 標記 DISABLED,防止誤啟用
I2: drift.py — Telegram 通知移除失效的 adopt() 端點連結
I3: drift/page.tsx — handleScan POST body namespace→namespaces(對齊後端 DriftScanRequest)
I4: drift/page.tsx — 移除硬編碼英文字串,改用 t('loading')/t('highCount')/t('mediumCount')
i18n: zh-TW.json + en.json 補齊 drift.loading key

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-05 00:22:38 +08:00
OG T
a562db4048 fix(phase25): 首席架構師 Review C1/C2/I1/I3 修正
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C1: NemotronProvider.privacy_level cloud→local
    NIM 部署在 192.168.0.188 內網,非官方雲端 API
    可納入 DIAGNOSE _local_fallback_chain 隱私邊界

C2: adopt() 端點暫停,返回 501
    API Pod 執行 git add -A 有安全風險
    ADR-057 起草後改用 Gitea PR API 實作

I1: timeout log 修正,記錄實際套用的 timeout 值
    原本永遠記錄 NEMOTRON_TIMEOUT_SECONDS=45
    現在記錄依 task_type 選擇的正確值

I3: route_sync() 補 DIAGNOSE 隱私邊界
    async route() 已有 _local_fallback_chain
    sync 版本遺漏,此次補齊

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 18:00:05 +08:00
OG T
c4eafd2a5b fix(ai-router): fallback_models 排除 selected_model 避免重複
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DIAGNOSE intent 路由至 Nemotron 後,fallback_chain 中的 OPENCLAW_NEMO
也使用相同 model string,導致 fallback_models 包含已選模型。

修正: 過濾掉與 selected_model 相同的 model string。

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 17:43:44 +08:00
OG T
8056be5847 feat(ai-router): DIAGNOSE intent override 升級至 Nemotron (P0) 2026-04-04 17:41:45 +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
df3ef9006c fix(auto-repair): 首席架構師 Review — 4 Critical/Important 修復
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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
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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
429d81d29b fix(knowledge): I2+I3 首席架構師 Important 修復 — 依賴注入 + exception 細分
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I2: KnowledgeService 移至 DecisionManager.__init__ 注入
    _query_kb_context_inner 使用 self._knowledge_svc,移除函數內 import 耦合

I3: _query_kb_context exception 細分
    - asyncio.TimeoutError → warning (預期降級)
    - ConnectionError/OSError → warning (Ollama 連線問題,預期降級)
    - Exception → error (非預期,提升監控可見性)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 11:51:43 +08:00
OG T
f846000c8c fix(knowledge): C1 首席架構師必修 — _query_kb_context 5秒 hard timeout
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C1 修復 (首席架構師 Review 74/100 → 條件通過):
- 抽出 _query_kb_context_inner 含實際查詢邏輯
- _query_kb_context 用 asyncio.wait_for(timeout=5.0) 包裝
- Ollama hang/慢響應最多消耗 5s,保護 30s 決策 SLA
- timeout 時 logger.warning("kb_rag_timeout") 靜默降級

同步移除 LLM prompt 中的 emoji (## 📚 → ## Knowledge Base)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 11:48:57 +08:00
OG T
860dc1d892 feat(knowledge): KB Phase 2 — OpenClaw RAG 整合
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_dual_engine_analyze 新增 _query_kb_context():
- Incident 分析前語意搜尋相關 KB 條目 (top-3, threshold=0.4)
- 將 KB context 注入 expert_context.diagnosis_context 傳給 LLM
- 失敗時靜默降級,不影響主分析流程
- dual_engine_llm_win log 新增 kb_rag 欄位,可觀測 RAG 命中率

架構: _query_kb_context 透過 get_knowledge_service() 呼叫 Service 層
符合 leWOOOgo 積木化 — decision_manager 不直接存取 DB/pgvector

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 11:46:47 +08:00
OG T
d0f09705e5 fix(auto-repair): 修復三個阻礙自動修復的根本原因
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1. playbook_rag: Ollama embedding http_client 滾動重啟後 is_closed
   - 新增 _get_http_client() 偵測 is_closed 自動重建
   - singleton get_playbook_rag_service() 加 is_closed 重建判斷

2. telegram: 加入 ai_model 欄位顯示底層判斷模型
   - TelegramMessage.ai_model 欄位
   - format() / format_with_nemotron() 顯示 "Nemotron (nemotron-70b)"
   - openclaw proposal_dict 加入 model 欄位
   - decision_manager / send_approval_card 串接

3. DB: 清除 9 筆 3/26 殭屍 PENDING (mock_fallback CRITICAL 測試記錄)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 11:46:25 +08:00
OG T
12bc94796a fix(knowledge): asyncpg 不支援 :param::type,改用 CAST(:param AS vector)
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asyncpg 使用 $1 位置參數,:emb::vector 語法導致 PostgresSyntaxError。
save_embedding 和 semantic_search 均改用 CAST(:emb AS vector) 語法。

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 11:43:59 +08:00
OG T
cddc4cb1fc fix(knowledge): 首席架構師 Review 修復 C1+C2+I1+I2 (71→~88/100)
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C1: IKnowledgeRepository Protocol 補齊 save_embedding + semantic_search +
    list_unembedded_entries,恢復 Interface 先行保護層

C2: embed_all_entries Service 層 raw SQL 移至 Repository.list_unembedded_entries()
    Service 改透過 Protocol 呼叫,符合 leWOOOgo 積木化原則

I1: asyncio.create_task 加入 _pending_tasks set 持有引用,防 GC 回收與
    Shutdown 時 Task 遺失;task done 後自動 discard

I2: OllamaEmbeddingService 從每次 new 改為 KnowledgeService.__init__ 注入,
    單一實例重用

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 11:22:38 +08:00
OG T
8960bba7fe feat(knowledge): pgvector RAG — 語意搜尋 + 背景 Embedding 管線
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- repository: save_embedding (raw SQL pgvector cast) + semantic_search (cosine <=>)
- service: create_entry 背景 embed + semantic_search + embed_all_entries 批次補 embed
- router: GET /semantic-search (q/limit/threshold) + POST /embed-all 管理端點

向量模型: nomic-embed-text (Ollama 192.168.0.188, 768 dims)
索引: ivfflat cosine (knowledge_entries.embedding vector(768))

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 11:17:24 +08:00
OG T
200c382ca4 feat(metrics): sparklines 串接真實數據 + TOOL_LINKS 移至 API (2026-04-04 ogt)
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前端 page.tsx:
- 今日事件 sparkline: 過去 6 小時每小時事件數 (從 incidents 計算)
- MTTR sparkline: 各已解決 incident 修復時間序列 (從 incidents 計算)
- 無數據時不顯示 sparkline (undefined 渲染 nothing)
- 移除硬碼 TOOL_LINKS,改讀 API 回傳的 tool.url

後端 monitoring.py:
- 每個 probe 函數回傳 dict 加入 "url" 欄位
- 前端工具連結由後端集中管理,解決多環境問題

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 11:09:04 +08:00
OG T
9e78d5222a feat(group-chat): 方案B slash commands — /status /incidents /cost /pods /help (2026-04-03 ogt)
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E2E Health Check / e2e-health (push) Successful in 17s
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-03 20:02:27 +08:00
OG T
e833065043 feat(group-chat): Reply Bot 訊息時只有被Reply的Bot回應 (2026-04-03 ogt)
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-03 19:48:10 +08:00
OG T
8d09b18477 fix(group-chat): 移除雙AI互相評論 — 單獨@只有該AI回覆,雙AI路徑不再互評
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-03 19:44:49 +08:00
OG T
79a770ffe5 feat(group): 移除告警自動 AI 分析 — 老闆指示
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告警發到群組只顯示卡片,不自動觸發 OpenClaw/NemoClaw 分析
老闆和 AI 可手動在群組討論告警內容

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-03 19:36:40 +08:00