Commit Graph

836 Commits

Author SHA1 Message Date
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8fb0c5df33 feat(heartbeat): noise reduction — silent 6h + warnings hash dedup
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P0 #4 (徹底長期修系列) — 統帥鐵證:「INFO | AWOOOI 系統報告」每 30 分鐘
推一次,一天 48 條同樣內容,即使我修了 P0 #3 假警報,每天的「全系統正常」
重複推送本身就是噪音,讓統帥誤以為告警還在重複。

修法(不違反「監控工具必須被監控」鐵律 — 健康狀態仍每 6h 推 1 次「我活著」):

| 狀況 | 推送行為 |
|------|---------|
| 健康(無 warnings)| 6h 內最多 1 次「我活著」訊號 |
| 有 warnings 跟上次同 hash | 跳過 |
| 有 warnings 跟上次不同 | 立即推送(新狀況不漏)|
| 健康 ↔ 有事 切換 | 自動清掉相反 marker |

Redis keys:
- `heartbeat:silent_last_sent` — 健康狀態 silent marker, TTL=6h
- `heartbeat:warnings_hash` — 上次 warnings 的 md5[:12], TTL=24h

效果:統帥每天從 48 條 heartbeat → ~4 條(健康狀態 4×6h),有事立即推。

Tests: 6 passed (test_heartbeat_dedup_p0_4.py)
- healthy_first_send_goes_through
- healthy_second_send_within_6h_skipped
- warnings_unchanged_skipped
- warnings_changed_pushes
- warnings_to_healthy_clears_warnings_hash
- healthy_to_warnings_clears_silent_marker

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-03 01:48:57 +08:00
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2ce722bda9 feat(heartbeat): full K8s pod lifecycle state machine + regression tests
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P0 #3 (徹底長期修系列) — 把 daily report 的 pod 健康判斷從「ready=False 一律告警」
升級到完整 K8s pod lifecycle state machine:

| Phase | 行為 |
|-------|------|
| Succeeded / Completed | 跳過(CronJob/Job 跑完正常) |
| Failed | 必告警 |
| Unknown | 必告警 |
| Pending <5min | 跳過(剛 schedule 合理) |
| Pending >=5min | 告警「image pull / scheduling 卡住」|
| Running ready=True | 健康,跳過 |
| Running ready=False <2min | 跳過(剛起來 probe 還沒過)|
| Running ready=False >=2min | 告警「readiness probe fail / 啟動異常」|
| restarts >=3 | 必告警(無論 phase)|

實作:
- PodInfo 加 start_time: Optional[str](從 .status.startTime)
- _get_pod_status kubectl custom-columns 加 STARTTIME
- _build_warnings 完整 state machine + 閾值常數

regression test (test_heartbeat_pod_state_machine.py 13 個) 覆蓋每個 phase
+ 邊界條件,含 2026-05-02 統帥截圖鐵證重現(3 個 drift-scanner Succeeded
pod 不該觸發「需關注 3 項」假警報)。

Tests: 13 passed (新增 test_heartbeat_pod_state_machine.py)

接續 a38d9112(單純 Succeeded skip),這次徹底處理 Pending/Failed/Unknown
+ 時間閾值 + 沒 start_time 的保守告警。

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-03 01:44:58 +08:00
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f1362fcc8d fix(governance): 修治理告警 4 個 silent failure + Prom sentinel 連鎖
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【全景檢測:12-agent 並行掃描定位 4 大 bug 與 1 個 P0 連鎖回歸】

Bug 1(P0 silent failure)— governance_agent.check_trust_drift
  原 `await db.commit()` 縮排錯在 async with 區塊外(8 空格 vs 12),
  session 已 auto-commit 關閉,二次 commit 拋 InvalidRequestError 被吞,
  governance_trust_drift_auto_deprecated log 從不出現。修:commit/log 移回 with 內。
  附 AST regression guard test 擋退化。

Bug 2 — flywheel_stats_service / W-3 fresh deploy 假告警
  Redis 空時 total_exec=0 → rate=0.0 → watchdog `< 0.30` 立即觸發
  「飛輪成功率 0%」假告警。修:total_exec < FLYWHEEL_MIN_SAMPLE(10) 回 None,
  watchdog 判 None 跳過 W-3。Prometheus sentinel 用 NaN(非 -1.0)
  避免觸發 ops/monitoring/alerts.yml:775 等 3 份 prom rule 的 `< 0.1`
  條件造成 2h 後假告警連鎖。前端 type 同步 number | null。

Bug 3 — failover_alerter dedup key
  原 key 只看 event_type 不看 payload,trust_drift 4→25 IDs 變動全被
  1h dedup 吞掉。修:dedup key 加 sha256(impact subdict)[:8],event_type
  sanitize 防特殊字元污染 Redis key。

Bug 4 — ai_slo_watchdog_job W-4 evolver 全封存初始化誤報
  原邏輯 approved==0 即告警,未排除「playbooks 表初始化中」場景。
  修:_count_approved_playbooks 回 (approved, total),total==0 → skip。

【執行結果】
- 39 個相關 unit test 全過(test_failover_alerter / test_governance_agent /
  test_trust_drift_watchdog / test_check_trust_drift_commit_outside_context_poc)
- 6 個關鍵路徑實測:NaN sentinel / float 渲染 / hash 區分性 / dedup 同 impact
  相同 hash / datetime 容錯 / 4 檔 py_compile 全過

【調度教訓 — 留作未來改進】
- 12-agent 並行調度時,vuln-verifier 與 fullstack-engineer 競態
  導致 vuln-verifier 讀到已修代碼誤判 NOT REPRODUCIBLE。
  未來:vuln-verifier 應在 fullstack 之前執行,或用 git show HEAD~1 對比修復前。
- fullstack-engineer 引入 P0 regression(f-string 內嵌 ternary 非法 format spec),
  critic 抓到 + Prom sentinel 連鎖 — 證明 critic 審查必要不可省。

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-03 00:18:57 +08:00
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b710f3f38f feat(governance): normalize AI治理告警輸出與元告警解析度
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2026-05-02 23:49:59 +08:00
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a38d911213 fix(heartbeat): exclude Succeeded/Completed CronJob pods from warnings
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統帥 23:30 截圖鐵證:每日系統報告永遠列「需關注 3 項:
Pod drift-scanner-* 未就緒 (Succeeded)」,讓人誤以為告警重複。

實際上 Succeeded/Completed 是 CronJob/Job 跑完的成功狀態,
ready=False 是設計(容器已退出)— 不該算 warning。

修法:heartbeat_report_service.py:704 加判斷跳過 Succeeded/Completed pods。

預期效果:今天 23:30 的「需關注 3 項」明天起會降為 0 項,daily report
header 從「需關注 N 項」變回「全系統正常」。

Tests: 50 passed (heartbeat 相關)

注意:working tree 還有 statq Codex 未 commit 的 7 個檔案改動
(approval_execution.py 有 indentation error 半成品),本 commit 只動
heartbeat_report_service.py 單檔,不誤碰其他。

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-02 23:48:31 +08:00
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dedb12085b chore(governance,watchdog): enrich alerts and enable prometheus multiproc
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2026-05-02 23:44:12 +08:00
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b371edb70c fix host alert auto-repair routing and backup false positives 2026-05-02 23:44:12 +08:00
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da772a1605 fix(decision): block kubectl actions on bare_metal host alerts
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When HostHighCpuLoad / HostOutOfMemory fire on a bare-metal host
(192.168.0.110 et al, where Sentry / ClickHouse / Snuba are eating
CPU), the LLM kept proposing "kubectl rollout restart awoooi-api",
which is a wrong-domain action — restarting awoooi cannot fix a
third-party process's CPU usage on the host. Auto-execute would then
either run the no-op kubectl restart (wasted) or escalate after
ssh_diagnose because no safe action was found, producing the
"AI 自動修復失敗" Telegram noise the user just complained about.

Adds a guard at the top of DecisionManager._auto_execute: if the
incident's primary signal carries host_type=bare_metal AND the
proposed action starts with "kubectl", refuse to execute. The
incident is marked READY with a clear blocked_reason so human
operators see why automation declined, and emergency_escalation
records the event in AOL for audit.

Also patches /home/wooo/monitoring/alerts.yml on 110 (and the new
ops/monitoring/alerts.yml in repo) to add an explicit
auto_repair_action annotation on HostHighCpuLoad / HostOutOfMemory
that hints LLM toward `ssh ... ps aux` rather than kubectl restart.
Prometheus reload returned 200.

Tests: tests/test_decision_manager_bare_metal_kubectl_guard.py
covers (1) bare_metal+kubectl blocked, (2) kubectl get also blocked,
(3) bare_metal+ssh NOT blocked, (4) k8s host_type+kubectl NOT
blocked, (5) missing host_type label NOT blocked.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-02 17:41:28 +08:00
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47342dfb34 fix(escalation): dedup escalation card by fingerprint + 24h TTL
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接續 b3a0f0d7(decision card dedup)—— 統帥 17:35 鐵證:4 條 ESCALATION P0
連發(HostOutOfDiskSpace + 3×HostDiskUsageHigh,全 target=node-exporter-110,
全不同 INC ID C9CD6E/FB7944/559B54/C1BBF3)。

decision card 修了但 escalation card 走另一條路徑,根因相同:
- emergency_escalation_service.py:31 dedup key 綁 incident_id (uuid4 隨機)
- TTL 900s 比 sweeper 重觸週期 1h 短

修法:
- escalate_auto_repair_unavailable() 改用 alertname+target fingerprint dedup
- TTL 900s → 86400s,與 decision_manager.py:574 對齊

drift_auto_adopt 路徑暫不動(TTL 已 3600s + report_id 非隨機,非當前問題)。

Tests: 7 passed (escalation/emergency 相關用例)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-02 17:38:54 +08:00
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b3a0f0d766 fix(telegram): dedup by fingerprint + 24h TTL to stop repeat alerts
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Telegram 重複發告警鐵證(4 個 agent 真實數據):
- INC-6FE3BD (HostBackupFailed) 24h 內被推 15 次
- INC-FD6E21 (HostHighCpuLoad) 24h 內被推 6 次
- 06:44:18 同秒兩送 = pod 並發 race

根因:
1. `telegram_sent:{incident_id}` dedup key 綁 uuid4 隨機 INC ID,
   同 fingerprint 換新 INC 完全不去重
2. dedup TTL=600s 比 incident_analysis_sweeper 重觸週期 1h、
   alertmanager repeat_interval 4h 都短 → 每輪都過期通過
3. pod restart 走 _resend_unconfirmed_ready_tokens 用同一 incident_id key
   → 重啟必炸一波

修法(不消音、是「AI 認得這是同一事故」):
- decision_manager.py:207-225 dedup key 改 alertname+target fingerprint
- decision_manager.py:573-578 TTL 600s → 86400s (蓋住 sweeper 1h × alertmanager 4h)
- decision_manager.py:3189-3208 pod restart resend 路徑同步改 fingerprint
- incident_analysis_sweeper.py:37-42 sweeper_done TTL 3600s → 86400s

預期:同症狀 24h 內最多發 1 張 decision card;resolved 後 line 220-226
status check 會 early return,不影響復發偵測。

Tests: 35 passed (test_telegram_adr050 + test_decision_manager_docker_prune_routing)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-02 16:25:48 +08:00
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84ba3216ee feat(notifications): tag autonomous repair actions with [AUTO] prefix
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Per user request: every AI-driven repair must surface a Telegram trace
even when it succeeds, so nobody can later deny what the autonomy did.
Adds 🤖 [AUTO] markers and an explicit `Actor: leWOOOgo (autonomous)`
line to both success and failure status messages emitted by
_push_auto_repair_result, making them clearly distinguishable from
human-clicked approval cards.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-02 12:49:43 +08:00
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3059897318 feat(governance): auto-deprecate low-trust unused playbooks (>30d)
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trust_drift previously fired alerts forever for playbooks stuck below
the 0.2 threshold. With user authorization for governance-class
auto-fixes, check_trust_drift now retires playbooks that have been
unused for 30+ days (or never used and created 30+ days ago) by
flipping status to 'deprecated' before alerting.

Alerts now report drifted_count, auto_deprecated_count, and the kept
playbook_ids that still need human review (those in their 30d trial
window). Existing alert noise from the four currently-drifted
playbooks should drop to whatever fraction is genuinely in trial.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-02 12:31:37 +08:00
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607358c4dd fix(approval): route SSH actions through SSHProvider on manual approve
parse_operation_from_action only knew kubectl and Chinese restart phrases,
so any "ssh host '...'" action approved via Telegram fell through to
"Could not parse operation type" and reported a fake failure even though
the LLM had proposed a valid host repair.

Adds OperationType.SSH_HOST, makes the parser detect ssh prefixes (with
optional flags / user@host) before kubectl patterns, and routes the
SSH_HOST branch in approval_execution.execute_in_background through
SSHProvider with the same tool keywords decision_manager uses
(ssh_docker_prune / ssh_docker_restart / ssh_systemctl_restart /
ssh_diagnose). Unroutable SSH actions now fail loudly with a descriptive
error instead of silently breaking.

Trigger: 2026-05-02 incidents INC-20260502-D6D0B7 / E12EE4 / 557055
were approved by the user but executor reported "Could not parse" and
left the alerts pending.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-02 12:31:37 +08:00
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3156ff1c69 feat(aiops): add ssh_docker_prune to auto-repair flywheel for disk-full alerts
Adds Group B SSH MCP tool ssh_docker_prune (image+volume+builder prune
with ≥75% disk usage gate) and routes "docker prune" actions through it.
Flips HostDiskUsageHigh from auto_repair=false to true with mcp_provider
routing labels so the flywheel can self-heal next disk-full event without
hitting the emergency_channel Telegram path.

Trigger: 2026-05-01 → 05-02 Telegram alert storm (peak 53/hr) caused by
empty ssh-mcp-key/known_hosts secret rejecting all SSH and forcing every
disk-full alert through "Host key is not trusted → escalate" loop.
known_hosts patched live; this commit closes the playbook gap so the
next occurrence resolves without manual intervention.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-02 12:31:37 +08:00
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7795f027d2 fix(aiops): persist emergency intervention traces
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2026-05-01 20:34:33 +08:00
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433f7b068e fix(aiops): close ssh and telegram remediation gaps
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2026-05-01 16:53:02 +08:00
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b0da6da1e9 feat(aiops): structure agent loop shadow output
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2026-05-01 15:09:57 +08:00
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f8e44971c1 feat(aiops): enable read-only agent loop canary
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2026-05-01 14:20:16 +08:00
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b6cf616707 fix(aiops): harden agent tool permission names
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2026-05-01 13:52:33 +08:00
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7e4d995e4b feat(aiops): add mcp agent loop foundation
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2026-05-01 13:21:19 +08:00
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9db87f177e fix(aiops): suppress repeated llm alert loops
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2026-05-01 13:02:07 +08:00
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11673d80ea fix(aiops): route backup decisions through ssh
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2026-05-01 12:50:01 +08:00
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2c12bce135 fix(aiops): use existing escalation event type
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2026-05-01 10:56:59 +08:00
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97be5dedd7 fix(aiops): escalate failed host verification
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2026-05-01 10:47:42 +08:00
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e4aef6ac4e fix(aiops): block k8s playbooks for host repair
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2026-05-01 10:33:52 +08:00
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ca22ec2fd2 fix(aiops): route backup failures rule-first
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2026-05-01 10:11:10 +08:00
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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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f0d14ab6c4 fix(aiops): escalate blocked auto repair
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2026-04-30 23:49:17 +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
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95110971f3 fix(telegram): close remaining DM alert routes
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61f5a6a419 fix(telegram): route alerts to SRE war room
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80defbed7c fix(aiops): fallback and escalate automation blockers
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ed2a4838f2 fix(auto): use action parser for repair gates
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639bb64788 feat(flywheel): surface ai automation and code review
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4a57c2d04f feat(flywheel): expose incident processing timeline
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d845d53257 fix(security): keep Gemini key out of request URLs
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fe2b8f4571 fix(flywheel): fallback on OpenClaw degraded responses
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dccdcdbaf5 fix(flywheel): unblock action safety and Claude fallback
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2026-04-29 21:51:18 +08:00
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c5b1810172 fix(cd-blocker): 補 knowledge_entries 防禦性 ALTER(解 CD #1115-1117 全 failure)
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🚨 真根因:CD pipeline 從昨天 push fb0c72db 起,4 個 commit (1114-1117) 全 failure
prod pod 28 小時沒更新 → 統帥 17:33/17:35 看到的 Telegram 告警仍是「llm_failed」
不是 ai_router 沒推翻 A2,是**部署根本沒上 prod**。

## CD 失敗證據(gitea actions API)

```
#1117 7b471e7a failure  Gemini sanitize
#1116 3668d49f failure  W2 三件 + KMWriter critic
#1115 fb0c72db failure  推翻 A2 DIAGNOSE Ollama primary
#1114 8d24f151 failure  PR-R1 4 Major 修
#1113 681b5ac9 success  PR-R1 規則→Playbook 遷移  ← 最後一次成功
```

## 失敗 Stack Trace(job 1267 logs)

```
sqlalchemy.exc.ProgrammingError: column "related_approval_id"
of relation "knowledge_entries" does not exist
SQL: INSERT INTO knowledge_entries (..., related_approval_id, path_type, ...)
test: tests/integration/test_b5_core_flows.py::test_knowledge_entry_view_count
```

## 根因

commit c22e5f33 (KMWriter) 加 ORM 欄位 `related_approval_id` + `path_type`:
- `models.py` ORM Mapped 欄位 
- `knowledge.py` Pydantic schema 
- `migrations/p1_1_km_idempotent_path_type.sql` 加 path_type 
- **但 `db/base.py:init_db()` 沒對應 ALTER**

CI integration test 用 prod schema 建 PG → 既有表沒有新欄位 → INSERT 失敗。
我之前只補了 `timeline_events.incident_id` 的 ALTER,漏了 `knowledge_entries`。

## 修法

`db/base.py:init_db()` 補 3 條防禦性 SQL(同 timeline_events 模式):
```sql
ALTER TABLE knowledge_entries
    ADD COLUMN IF NOT EXISTS related_approval_id VARCHAR(64),
    ADD COLUMN IF NOT EXISTS path_type VARCHAR(50);
CREATE UNIQUE INDEX IF NOT EXISTS uix_knowledge_incident_path
    ON knowledge_entries(related_incident_id, path_type)
    WHERE related_incident_id IS NOT NULL AND path_type IS NOT NULL;
CREATE INDEX IF NOT EXISTS ix_knowledge_related_approval
    ON knowledge_entries(related_approval_id)
    WHERE related_approval_id IS NOT NULL;
```

## 驗證

- 1635 unit tests 全綠
- 預期 CD #1118 (本 commit) 解 4 個失敗 commit 的部署 backlog
- 部署完成後 prod ai_router fb0c72db 推翻 A2 才會真的生效

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 20:44:23 +08:00
Your Name
7b471e7ae2 fix(secret-leak): Gemini API key 從 prod log 清除(P0 SECRET LEAK)
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## 問題(2026-04-29 11:50 prod log 證據)

prod log 出現完整 Gemini API key 明碼:
```
"https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key=AIzaSyCqv7TY2iTGi2wa91d2irwH08VYXjT9YUk"
event: gemini_provider_failed
```

違反鐵律:
- feedback_secret_debug_output_ban.md: debug 含 secret 字串禁 echo/log 原值
- feedback_secrets_leak_incidents_2026-04-18.md: 已有 2 起 secret leak 事故

## 根因

`gemini.py:118` `logger.warning("gemini_provider_failed", error=str(e), ...)`

httpx HTTPStatusError str() 會包含完整 URL(含 ?key=... query string):
- Google Gemini API 設計用 query string 傳 API key(不像 Claude/NVIDIA 用 header)
- httpx 拋例外時把 URL 寫進 error message
- str(e) 直接 log → key 進 K8s pod log → audit log → Sentry → 任何下游 log 接收方

## 修法

新增 `_sanitize_error()` 函式:
- regex `([?&])key=[^&\s'"]+` → `\1key=<redacted>`
- 在 `gemini_provider_failed` log 出口呼叫
- AIResult.error 也用 sanitize 過的(不污染下游)

只修 Gemini(其他 provider 用 header / 內網無 key):
- Claude: API key 在 `x-api-key` header → 不在 URL → 安全
- OpenClaw: 內網 188:8088 → 無 API key → 安全
- Ollama: 內網 111:11434 → 無 API key → 安全
- NVIDIA: API key 在 `Authorization: Bearer` header → 安全

## 驗證

- 1635 unit tests 全綠(修法不破壞任何既有行為)
- 直接執行 sanitize 函式確認 `AIzaSy*` key 被替換成 `<redacted>`

## 已知債

- 此 commit 只防新 leak,**舊 log 中的 key 仍存在**(K8s pod log / Sentry / structlog backend)
- Gemini API key 仍應**輪換**(已洩漏的 key 不可信)
- 統帥需手動:
  1. 去 https://aistudio.google.com/apikey 新增 key
  2. 在 K8s secret 換 GEMINI_API_KEY
  3. 撤銷舊 key

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 19:49:09 +08:00
Your Name
3668d49f2f feat(flywheel): W2 三件 + KMWriter critic 修法(1635 tests 全綠)
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W2 (onboarder 4 週飛輪 80→90 路徑第二週) + critic PR review 5 個 critical/major
全部修完,default flag=false 安全無爆炸風險。

## W2 三件 PR

### PR-R2 — AOL → catalog confidence EWMA 回灌(修飛輪斷鏈 C2)
- 新檔 `apps/api/src/jobs/aol_to_catalog_writeback_job.py`
- 邏輯:每小時掃 AOL 計算 EWMA confidence (alpha=0.3) 回灌 alert_rule_catalog
- 失敗閾值 N=5 連續低成功率 → review_status='draft'
- Hermes _fetch_noisy_rules SQL 加 OR review_status='draft'
- ENABLE_AOL_WRITEBACK_JOB=false (default)
- 8 個測試(mock path 修正:lazy import → patch src.db.base.get_db_context)

### PR-V1 — self_healing_validator 串接 (修飛輪斷鏈 C6)
- 新檔 `apps/api/src/services/self_healing_validator.py`(純函數 assess_self_healing)
- post_execution_verifier.py step 5 串接(feature flag gate)
- evidence_snapshot.py 加 self_healing_score / self_healing_detail 欄位
- db/models.py + base.py ALTER IF NOT EXISTS
- score < 0.5 → 觸發 rollback 提案 Telegram alert(不自動執行)
- ENABLE_SELF_HEALING_VALIDATOR=false (default)
- 7 個測試

### PR-L1 — KM ↔ Playbook 雙向回路 (修飛輪斷鏈 C3+C4)
- learning_service.py 三條新邏輯:
  1. _write_playbook_evolution_km:promote/demote 寫 KM 演化條目
  2. _check_and_mark_playbook_review:N=5 累積觸發 review_required
  3. _demote_alert_rule_catalog_confidence:DEPRECATED → confidence×=0.5
- PlaybookRecord 加 review_required 欄位(schema migration via base.py)
- ENABLE_KM_PLAYBOOK_FEEDBACK_LOOP=false (default)
- KM_PLAYBOOK_REVIEW_THRESHOLD=5 可調
- 6 個測試

## KMWriter Critic 5 個 Critical/Major 修復(之前 critic PR review 發現)
之前 push commit c5753e1c 已修,本 commit 補回 stash 中的對應檔案:
- C1 km_writer.py:194 backfill 自打臉(已修:同步 await + DLQ)
- C2 km_writer.py:391 KM_WRITE_AWAIT=false 路徑收緊
- M1 decision_manager.py:2178/2203 移除 _fire_and_forget
- M2 incident_service.py:1099 自製 path 加 retry+DLQ
- M3 km_writer.py:166 冪等聲明對齊(UPSERT + partial unique index)

## 驗證
- 1635 unit tests 全綠(+27 from 1608)
- 與 fb0c72db (推翻 A2 Ollama primary) 共存無衝突
- 所有新 Job/Service default flag=false(不爆炸)

## 期望影響
飛輪斷鏈 C2 + C3 + C4 + C6 全修
飛輪自主化評分:65 → 85 預估(W2 完成後)

啟用順序(待 prod fb0c72db 驗證 OLLAMA primary 跑得起來後):
1. ENABLE_AOL_WRITEBACK_JOB=true
2. ENABLE_KM_PLAYBOOK_FEEDBACK_LOOP=true
3. ENABLE_SELF_HEALING_VALIDATOR=true

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 19:44:04 +08:00
Your Name
fb0c72db42 feat(ai-router): 推翻 A2 鐵律 — DIAGNOSE primary 改 Ollama 本地優先
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統帥鐵律 2026-04-29:「主要優先用 111 主機的 Ollama」
+ feedback_ai_autonomous_direction.md:以本地免費 LLM 為主
+ feedback_ollama_111_only.md:Ollama 唯一主機 = 111

## 推翻 A2 (2026-04-27 INC-20260425) 的事實基礎

**舊事實**:Ollama = CPU-only deepseek-r1:14b @ 238s(不可用)
**新事實**:prod Ollama 111 = M1 Pro Apple Silicon GPU + qwen2.5:7b-instruct
           VRAM 8.2GB 全載入,ctx 32k,實測 hi prompt 0.54s

**雲端全死**(2026-04-29 prod log 證據):
- OpenClaw 188:8088 → 500 Internal Server Error
- Gemini → 429 Too Many Requests(配額爆)
- Claude → 404 Not Found(model claude-3-haiku-20240307 過期)

**不推翻 A2 → 100% incident llm_failed → AI 自動修復永遠不啟動**

## 修改範圍(最小、安全、可驗證)

### ai_router.py
- `_diagnose_fallback_chain`: OLLAMA 第一順位(取代「永久排除」舊註解)
  順序:[OLLAMA, OPENCLAW_NEMO, GEMINI, CLAUDE]
- `_intent_provider_overrides[DIAGNOSE]`: OPENCLAW_NEMO → OLLAMA
- 不動 _full_fallback_chain(避免影響 RESTART/SCALE/CONFIG/DELETE)
- 不動 _tool_calling_fallback_chain
- 不動 complexity_map(critic M2 留待後續)

### openclaw.py
- 注入 task_type="diagnose" 到 alert_context(critic C2 真根因)
- 修復 ai_providers/ollama.py:77 timeout 對齊問題:
  - 有 task_type → OLLAMA_DIAGNOSE_TIMEOUT_SECONDS=200s
  - 沒有 → OPENCLAW_TIMEOUT=30s(不夠 qwen2.5:7b 推理)
- prod log 看到 latency_ms=120014 的根因
- 用 dict(alert_context) 複製,不污染原 context

## Regression Test 同步更新(5 個)

A2 鐵律守門 test 全部反映新鐵律:

- test_p0_diagnose_routing.py::test_diagnose_override_is_ollama
  (原 test_diagnose_override_is_openclaw_nemo)
- test_ai_router_diagnose_fallback.py::test_diagnose_fallback_chain_ollama_primary
  (原 test_diagnose_fallback_chain_no_ollama)
- test_ai_router_diagnose_fallback.py::test_diagnose_route_primary_is_ollama
  (原 test_diagnose_route_fallback_chain_excludes_ollama)
- test_ai_router_diagnose_fallback.py::test_diagnose_route_sync_primary_is_ollama
  (原 test_diagnose_route_sync_fallback_chain_excludes_ollama)
- test_ai_router_diagnose_fallback.py::test_build_fallback_chain_for_intent_diagnose_with_ollama_primary
  (原 test_build_fallback_chain_for_intent_diagnose_no_ollama)
- test_ai_router_failover_integration.py::test_router_uses_failover_for_diagnose_ollama_primary
  (原 test_router_does_not_use_failover_for_openclaw_nemo)

每個 test docstring 都記載歷史脈絡 + 推翻原因。

## 驗證

- 1608 unit tests 全綠
- LLM 路徑 16 個 test 全綠(含 6 個 A2 守門 test 更新版)
- complexity_scorer / failover_manager / intent_classifier 不受影響

## 期望 prod 行為(部署後驗證)

incident 進入 → DIAGNOSE intent → primary OLLAMA (qwen2.5:7b on M1 Pro GPU)
  失敗才 fallback → OpenClaw 188 → Gemini → Claude
  Ollama 用 200s timeout(之前 30s 不夠)
  → AI 自動修復終於可以啟動,不再 100% llm_failed

## 已知債(後續處理)

- models.json:21 ollama.default 仍是 deepseek-r1:14b(critic C1,但 prod 已自動 route 到實載 model)
- complexity 4/5 仍寫死 gemini/claude(critic M2)
- Gemini API key 在 prod log 明文(需輪換 + sanitize)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 11:39:36 +08:00
Your Name
8d24f15183 fix(critic-review): PR-R1 4 Major 修 — wildcard 過濾 + 二次確認 + unverified 旗標
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critic PR review 681b5ac9 揭示 4 Major 問題(無 Critical),全部修復。

## Major #1 — generic_fallback wildcard 污染 RAG 語料
位置:rule_to_playbook_migrator.py:128 `_build_symptom_pattern`

問題:generic_fallback 規則的 `alert_names=["*"]` 會原樣寫入 PlaybookRecord,
進 playbook_rag 向量化文字「告警: *」變成普通 token,每筆查詢都會跟它算相似度
→ RAG top-k 可能回 fallback DRAFT 誤導推薦。

修法:在 `_build_symptom_pattern` 過濾 `["*"]`(與 keywords 一致對待)。

## Major #2 — CLI --commit 無二次確認
位置:scripts/migrate_rules_to_playbooks.py

問題:`--commit` 直接寫 prod DB 25 筆 DRAFT,誤跑無法回頭。

修法:
- 加 `--yes` flag(CI / 自動化用)
- 沒帶 `--yes` 時 stdin prompt: "Type 'yes' to confirm"

## Major #3 — yaml_rule kubectl_command 未過 SPF-2 action_parser
位置:rule_to_playbook_migrator.py:153 `_build_repair_steps`

問題:DRAFT 不會自動 promote(門檻 0.9),但人工 review 路徑無安全攔截器。
若有人 UI 一鍵 promote → 含 {target} placeholder 的危險指令直接到 prod。

修法:在 step dict 加 metadata:
- unverified_command: True
- needs_action_parser_review: True
- source: "yaml_rule_migration"
(promote 流程須強制走 action_parser,由 SPF-2 落地時實作)

## Minor 修
- 刪除 dead import `import re`(未使用)
- `enumerate([:3], start=2)` 取代 `if idx >= 4: break`(邊界寫法易誤讀)

## 驗證
- 23 個 PR-R1 測試全綠(修法不破壞既有行為)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 10:56:32 +08:00
Your Name
681b5ac949 feat(flywheel): W1 PR-R1 規則→Playbook 遷移 + PR-K1 timeline 防禦 ALTER
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W1 第二波:onboarder 飛輪 80→90 路徑剩餘兩件 PR。

## PR-R1 — 25 條 yaml 規則 → DRAFT Playbook 遷移

斷鏈背景(onboarder C2):alert_rules.yaml 25 條規則 68% 寫死 RESTART,
沒有對應 Playbook → RAG 永遠 generic_fallback → 規則命中率沒回饋給 catalog。

修法:
- 新建 services/rule_to_playbook_migrator.py
  - 自動從 alert_rules.yaml 解析每條 rule
  - 產生 PlaybookRecord(status=DRAFT, ai_confidence=0.3, source=YAML_RULE)
  - 誠實標示信心 0.3(非假 1.0,違反 feedback_confidence_truthfulness)
  - INSERT ON CONFLICT 冪等(name LIKE 'AutoMigrated: %' 去重,不擾動 seed)
- 新建 scripts/migrate_rules_to_playbooks.py(CLI: --dry-run/--commit/--disable-flag)
- ENABLE_RULE_MIGRATION_DRAFT=true(rollback flag)
- 23 測試覆蓋(parse / build_dict / idempotent / dry_run / action_type /
  severity_map / feature_flag / wildcard_filter / partial_existing 等)

## PR-K1 — timeline_events 防禦性 ALTER(db-expert finding)

任務原前提錯誤:onboarder 報告的 C7 斷鏈(incident_id 欄位)在
2026-04-24 P1.6 已修復 ORM。但生產環境若在 P1.6 前已建表,create_all 跳過
已存在的表 → ORM 寫入 SELECT 仍可能找不到 column。

修法:
- db/base.py:init_db() 補防禦性 ALTER:
  ALTER TABLE timeline_events ADD COLUMN IF NOT EXISTS incident_id VARCHAR(64);
  CREATE INDEX IF NOT EXISTS ix_timeline_incident_id ON timeline_events(incident_id);
- IF NOT EXISTS 為 no-op 安全(已有 column 不做事)
- stage 欄位是任務描述的幻覺(codebase 0 writer),不新增

未做:
- alembic migration(專案不用 alembic,遵循既有 init_db ALTER pattern)
- onboarder C7 在 ORM 層已修,本 commit 確保 prod schema 對齊

## 驗證
- 1608 unit tests 全綠(+23 from 1585)
- PR-R1 23 個測試獨立通過

## 期望影響
- 飛輪 RAG 終於有 25 條 DRAFT Playbook 可查 → +5 分
- prod schema 對齊保險 → 防 ORM SELECT 失敗

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 10:49:25 +08:00
Your Name
c5753e1c57 fix(critic-review): KMWriter 名實統一 + Alertmanager 修抑制 + drift checker AST 化
critic PR review 揭示已 push commits 的 7 個 blocker,本 commit 全部修復。

## C1 + C2 + M1 + M2 + M3 — KMWriter 真正統一契約(critic 最嚴重 5 條)

### C1 km_writer.py:194 — backfill 自打臉修
- 裸 asyncio.create_task(_backfill_path_a_approval) → await _backfill_path_a_approval_safe()
- 同步 await + 獨立 DLQ km:backfill:dlq + try/except 不阻塞主寫入
- 新增 km_backfill_reconciler_job.py(每 5 分鐘掃 DLQ)+ ENABLE_KM_BACKFILL_RECONCILER flag
- 防 Path B 比 Path A 先完成 → related_approval_id 永遠 NULL 的 race

### C2 km_writer.py:391 — KM_WRITE_AWAIT=false 路徑收緊
- 從 ensure_future(fire-and-forget 比舊版同步寫更糟)
- 改 await writer.write(retry=1, timeout=2.0)(仍 await 但只試一次、超時短)
- docstring 明確標註「緊急回滾用,不保證可靠性」

### M1 decision_manager.py:2178/2203 — 移除 _fire_and_forget 旁路
- 兩處 _fire_and_forget(executor.write_execution_result_to_km(...))
- 改 await asyncio.shield(...) + BaseException 保護(防上層 cancel 中斷)
- KM_WRITE_AWAIT=true 在這條路徑終於真正 await

### M2 incident_service.py:1099 — 自製 path 加 retry+DLQ
- 原本 if settings.KM_WRITE_AWAIT: await asyncio.wait_for else create_task
- 改 3 次指數退避 retry + DLQ 保護(呼叫 km_writer 私有 helper)

### M3 km_writer.py:166 — 冪等聲明對齊實作
- knowledge_repository.create() 加 UPSERT 路徑(pg_insert ON CONFLICT DO UPDATE)
- KnowledgeEntryCreate / KnowledgeEntryRecord 加 path_type 欄位
- migration: ADD COLUMN path_type + partial unique index uix_knowledge_incident_path

## M4 alertmanager.yml — equal: [] 收緊(critic 防爆炸抑制)
- OllamaInstanceDown / KMConverterDown 抑制加 equal: ['cluster'] 約束
- 防多 cluster 場景下任一 Ollama down 誤抑全 AI/SLO 告警

## M5 Alertmanager 版本驗證(已確認 v0.31.1,遠超 v0.22+)

## M6 governance_agent.py — health score 區分 skipped vs ok vs violated
- check_slo_compliance 加 _meta {violated_count, skipped_count, ok_count, all_skipped, status}
- run_self_check: SLO 全 skipped 時獨立發 governance_slo_data_gap 告警
  (不污染 self_failure 計數,因為 no_data 是 emitter 未實作不是治理機制故障)

## M7 scripts/check_config_drift.py — 改 AST 解析
- regex 改 ast.parse 找 Settings ClassDef AnnAssign Field(default=...)
- 避免多行 list / default_factory= / 含跳行字串的 false negative
- 4 欄位(AI_FALLBACK_ORDER / ARGOCD_URL / PROMETHEUS_URL / OLLAMA_URL)全對齊

## 新增測試
- test_km_writer_backfill_reconciler.py: 7 cases(C1 reconciler + safe helper)
- test_km_writer_idempotent.py: 5 cases(M3 path_type 注入 + UPSERT 分支)

## 驗證
- 1585 unit tests 全綠(+13 從 1572)
- amtool check-config SUCCESS(8 inhibit_rules / 2 receivers)
- drift checker AST-based 4 欄位全對齊
- Alertmanager v0.31.1 確認支援新語法

## 期望影響
- KMWriter 名實統一:飛輪閉環 KM 寫入路徑 100% 可靠
- M4 抑制爆炸風險解除
- 治理層不再對 SLO no_data 靜默
- drift checker false negative 風險解除

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 10:44:39 +08:00
Your Name
6878e62af7 feat(flywheel): W1 PR-P1 + ADR-091 T1 — 飛輪 80→90 第一波
依 onboarder 端到端閉環審計挖出的 10 條斷鏈 + critic 鐵律違反全景,
W1 第一波修復飛輪鐵證 1 + 2 的核心斷鏈 C1。

## W1 PR-P1 — matched_playbook_id 四斷點守門 (C1 修復)
fullstack 探勘發現 4 斷點之前 session 已修,本 PR 補:
- ENABLE_PLAYBOOK_MATCHING feature flag (default=true)
  rollback: kubectl set env deployment/awoooi-api ENABLE_PLAYBOOK_MATCHING=false
- proposal_service._try_playbook_match_id 入口加 flag check
- 7 個 e2e 測試補上保護網(之前無測試覆蓋)

斷鏈 C1 證據鏈:proposal_service.generate_proposal() → matched_playbook_id
→ approval_db → approval_repository → learning_service._update_playbook_stats
24h 後 playbooks.trust_score 應有真實 EWMA 更新。

## ADR-091 T1 — auto_generate_rule 雙寫 DB (鐵證 1 第一步)
飛輪鐵證 1:alert_rule_catalog.source='ai_generated' 全 codebase 0 筆。
auto_generate_rule() 寫 alert_rules.yaml 但不寫 DB → AI 自學成果與 catalog 雙軌脫鉤。

修法(依 ADR-091 §1 D1):
- 新增 _insert_catalog_ai_generated():YAML 寫入成功後雙寫
  source='ai_generated', confidence=0.5, review_status='draft', created_by_agent
- 新增 _parse_for_to_seconds() helper("30s"/"5m"/"2h" → seconds)
- ON CONFLICT (rule_name) DO NOTHING 冪等保證
- transaction 策略:YAML + DB 不在同一 transaction(YAML 已成 SoT,DB 失敗只 log)
- ENABLE_AI_RULE_CATALOG_WRITE feature flag (default=true)
  rollback: kubectl set env deployment/awoooi-api ENABLE_AI_RULE_CATALOG_WRITE=false

13 個測試覆蓋:parse helper 8 + 業務邏輯 5(success/db_fail/idempotent/flag/SQL_lit)

## 驗證
1572 unit tests 全綠(+20 新增:PR-P1 7 + ADR-091 T1 13)

## 期望影響
飛輪自主化評分:42 → 65(+23 = C1 +3 + 鐵證 1 +20)

## 已知債(critic PR review 揭示,下一個 commit 處理)
- KMWriter 統一契約 3 條 caller 路徑被旁路(C1/M1/M2)
- KMWriter 冪等聲明與實作不符(M3 缺 ON CONFLICT)
- Alertmanager equal:[] 爆炸抑制 + 版本未驗(M4/M5)
- drift checker regex 脆弱(M7 應改 AST)
- governance health score skipped 失真(M6)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 10:44:39 +08:00
Your Name
dc18b0ebd6 fix(prometheus_url): drift 殘存追修 — kured 守門員 + monitoring API
debugger 全 codebase 追根溯源後揪出 5 處 PROMETHEUS_URL drift 殘存
(根因:docs/reference/SERVICE-ENDPOINTS.md 早期把 Prometheus 標在 188
是整個 codebase drift 的源頭)。

本次修最急的 2 處:

## 🔴🔴 kured.yaml:132(守門員失效風險)
- 188 → 110
- kured 跑 reboot 前會查 Prometheus alerts,連錯主機 = 跳過保護直接 reboot 主機
- 對齊 ConfigMap + config.py PROMETHEUS_URL

## 🟡 monitoring.py:67(單一事實源)
- 寫死 110:9090 改用 settings.PROMETHEUS_URL
- 主機巧合正確但繞過 ConfigMap 注入機制
- 未來 Prometheus 再遷移避免再次 drift

## 暫不修
- k3s_monitor_service.py:38 用 121:30090 是 K3s NodePort 內網端點
  與外部 PROMETHEUS_URL 概念不同,需新增 PROMETHEUS_INTERNAL_URL setting
- 其他 docstring + 文件 drift(SERVICE-ENDPOINTS.md 等)留待後續

## 驗證
1552 unit tests 全綠(無回歸)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 10:44:39 +08:00
Your Name
c22e5f334e feat(km): P1-1 KMWriter 統一契約 + 5 caller 切換 + M4 反查鏈補齊
12-Agent 全景診斷揪出 KM 寫入鏈路 5 條入口無統一契約,fire-and-forget
在 Pod recycle 時會丟失條目。本次抽 KMWriter 強制 7 條契約。

## 7 條契約強制
1. 同步底線:強制 await asyncio.wait_for(timeout)
2. 重試:3 次指數退避 1s/2s/4s(OperationalError / 網路類例外)
3. 失敗回收:3 次後寫 Redis DLQ km:dlq + log
4. 觀測:structlog event + 預留 metric hook(P1-3 補 emitter)
5. 冪等:incident_id + path_type 為 unique key
6. 禁止吞例外:except 必須 log + raise/DLQ
7. M4 反查鏈:payload 含 approval_id 時自動填 related_approval_id 並回填 Path A

## Caller 切換(5 條入口統一介面)
- incident_service.py:1086 Path A(KB extractor + km_conversion)
- approval_execution.py:771 Path B-人工
- decision_manager.py:2178 Path B-自動成功(消除跨類私有方法調用 M1)
- decision_manager.py:2200 Path B-自動失敗(修 B2 早期吞例外)
- playbook_service.py:210 PlaybookKM(兩份 T0 報告都漏的第三條)

## M4 反查鏈補齊
- knowledge.py + models.py: 補 related_approval_id ORM 欄位
- 對齊 phase26_incident_km_integration.sql:20 schema(partial index 已存在)
- approval↔KM 雙向反查鏈完整(dual-path 縫合線)

## Feature Flag (rollback 保險)
- KM_WRITE_AWAIT=true (default): await + timeout + DLQ 強制
- KM_WRITE_AWAIT=false: fire-and-forget(舊行為)

## 測試
- apps/api/tests/test_km_writer.py: 18 測試全綠
  覆蓋 success / timeout / retry / DLQ / 冪等 / KMWriteError /
  on_failure=raise / 反查鏈回填
- 1552 unit tests 全綠(無回歸)

## 驗收
飛輪閉環核心 — KM 寫入不再靜默丟失,AI 學習鏈不斷裂。

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 10:44:39 +08:00
Your Name
715dc3cb91 fix(observability): P0 假警報止血 + ConfigMap drift 對齊 + 治理工具
12-Agent 全景診斷觸發的 P0/P1 觀測層修復。

## P0 假警報止血(4 SLO 雪崩根因)
- governance_agent.py:306 — 空 result 不再 fallback 0.0,改 continue + log warning
  根因:Prometheus 查無資料(emitter 未實作 / rule 未部署)被誤判為 SLO=0
  必觸發 violated=True 噴 4 條假告警

## P0 鬼魂按鈕守門
- telegram_gateway.py:1654 — LLM 動態按鈕 Redis 失敗時 btn_list.clear()
  first_row(批准/拒絕,HMAC nonce 無狀態)由 caller 1488 永遠保留
  feedback_no_ghost_buttons.md 三缺一鐵律對齊

## ConfigMap drift 修復(3 處)
- config.py:683 PROMETHEUS_URL: 188→110(drift checker 揪出 = SPF-4 部分根因)
- config.py:705 ARGOCD_URL: 125→121(T0 G3 已知)
- config.py:375 AI_FALLBACK_ORDER: 補 nvidia 對齊 ConfigMap

## P1 Alertmanager 升級(amtool SUCCESS)
- ops/alertmanager/alertmanager.yml: deprecated → v0.27+ 新語法
  - match/match_re → matchers
  - source_match/target_match → source_matchers/target_matchers
  - group_by 加 team label(防 SLO 雪崩 4 條同秒推)
  - PostgreSQL/Redis inhibit 補 equal: ['instance'](防爆炸抑制)
- 新增 3 組因果抑制:
  - OllamaInstanceDown → SLO_*/AI_*(30 分鐘)
  - KMConverterDown → SLO_KMGrowthRate*
  - SLO_*_FastBurn → SLO_*_(Medium|Slow)Burn

## 治理工具落地
- scripts/check_config_drift.py: ConfigMap vs code default drift 檢測
  揪出 PROMETHEUS_URL drift 是 SPF-4 根因(governance_agent 連 188 而非 110)
- scripts/health_check_session.sh: 11 服務 + 4 SSH + drift + git 全景驗證

## 驗證
- 1552 unit tests 全綠
- amtool check-config SUCCESS(8 inhibit_rules / 2 receivers)
- drift checker 4 欄位全對齊
- health check 11 服務全可達

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 10:44:39 +08:00
Your Name
143c15f052 feat(wave2+km): LLM 動態按鈕啟用 + KM 自動寫入 + AI Router dead code 標記
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- ConfigMap: USE_LLM_DYNAMIC_BUTTONS=true(B2/B3/B4 handler 全就緒)
- decision_manager: auto_execute 失敗路徑補 KM fire-and-forget 寫入
- ai_router: _build_fallback_chain 標記 DEPRECATED 2026-04-28
- tests: test_golden_regression.py 新增 172 行 golden 回歸測試

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-28 15:27:33 +08:00