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aa4ccec429 fix(watchdog): ADR-092 B4 — 三層修復消除 META SYSTEM 重複告警 + Ollama 路由強化
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問題根因（debugger 全景徹查）：
1. Prod 仍跑舊版代碼（ec013f66 後的修法未部署 → 告警字串仍含舊格式）
2. replicas=2 時 Pod 間 grace period 不共享 → violation_codes 分歧 → 不同 SHA256 → dedup 失效
3. 新 Pod 啟動立即執行 _check_once() → rollout 時多發一波
4. W6 violation_codes 含動態 low_count → count 微變繞過 dedup

修復（A2/A3/W6/C1/C2）：
- A2：run_ai_slo_watchdog_loop 加 90s leading sleep，避免 rollout 立即觸發
- A3：_grace_active() 改為 Redis cluster-shared（watchdog:cluster_grace, ex=1800s, nx=True）
     消除 Pod 間 grace period 不一致；Redis 故障時 fallback 為 process-local monotonic
- W6：violation_codes 移除動態 low_count，改為穩定 "W6:trust_drift"
- C1：ollama_auto_recovery.py recovered_host 改動態 label（依 URL port 判斷 GCP-A/B/Local）
- C2：ConfigMap OLLAMA_FALLBACK_URL 改走 110:11437 nginx proxy，三層容災統一架構

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-05 10:31:53 +08:00
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3f853accf2 fix(alerter): Ollama 恢復告警去重修復 — per-host key + 1h TTL 
根因：
1. dedup_key 固定為 "alert:recovery"，GCP-A 每 10min 健康閃爍就觸發重發
2. 三層容災下不同主機恢復共用同一個 key，互相污染

修法：
- dedup key 改為 "alert:recovery:{safe_host}"，各主機獨立 dedup
- RECOVERY_DEDUP_TTL_SEC = 3600（1h），GCP 持續閃爍只報一次

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-05 01:22:01 +08:00
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d934242846 feat(infra): ADR-110 補齊 Local Fallback + 密碼 SSH 恢復工具
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2026-05-05 00:49:14 +08:00
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10e665a540 fix(watchdog): 修復 META SYSTEM 重複告警 — violation_codes 穩定 dedup
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根因：violations 字串含動態浮點數（mean_trust/low_ratio），每次微變 → SHA256 不同 → dedup 失效
修法：新增 violation_codes list（穩定 W-code 格式），dedup 計算只用 violation_codes
     violations 保持含動態值（顯示用），Telegram 通知照常顯示完整資訊

W-6 Trust Drift dedup key: W6:trust_drift:low_count={N}（不含浮點數）

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-05 00:06:38 +08:00
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40badc42cf fix(ollama): 恢復 GCP 優先路由（ADR-110 正式路由）
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nginx proxy 架設完成後恢復原設計：
  GCP-A (110:11435 → 34.143.170.20:11434) → primary
  GCP-B (110:11436 → 34.21.145.224:11434) → secondary
  111 (192.168.0.111:11434)               → 兜底

OLLAMA_URL=http://192.168.0.110:11435
OLLAMA_SECONDARY_URL=http://192.168.0.110:11436
OLLAMA_FALLBACK_URL=http://192.168.0.111:11434

已用 kubectl set env 熱更新，不動 image tag。
兩台 GCP Ollama 均 200 OK（10 個模型各）。

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 23:37:42 +08:00
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ec013f662d fix(watchdog): 修复 Trust Drift 重复告警 + 建立 GCP Ollama nginx proxy
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- ai_slo_watchdog_job: 改用 trust_drift_detector 纯统计 lib
  避免与 governance_agent 每小时自检查重复触发 Telegram

- infra/ansible: 建立 110 nginx proxy 转发到 GCP-A/B
  端口 11435 -> 34.143.170.20:11434 (GCP-A)
  端口 11436 -> 34.21.145.224:11434 (GCP-B)

- docs/runbooks: DEPLOY-GCP-OLLAMA-PROXY.md 完整部署指南
- ops/nginx: 手动部署脚本供 110 直接执行

ADR-110 三层容灾启用前提：先部署 proxy，再改 ConfigMap
 2026-05-04 23:12:35 +08:00
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a1b61289f5 fix(governance): 修復 skip 路徑無限迴圈 + MCP 評分偏低根因
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根因一：GovernanceDispatcher skip 決策後未記錄任何狀態
- 事件永遠 resolved=False → 每 30s 重撈 → 每輪呼叫 LLM + Prometheus
- 4437 筆 stale 事件積壓，導致 governance_fusion_complete 每 20s 狂刷

修復：
1. Redis 90min 冷卻鍵（governance:skip:{event_id}）防止重複 LLM 呼叫
2. 超過 2h 的 stale skip 事件自動標記 resolved=True
3. 直接 bulk-resolve 4437 筆 stale 事件 + 預設 105 筆冷卻鍵

根因二：MCP 評分 0.2 硬地板
- SLI recording rules 尚未在 Prometheus 生效 → result_list=[] → success_count=0
- 公式 0.2 + 0.7*0 = 0.2，融合信心度永遠 < 0.65 threshold

修復：
- 空結果（no_data）≠ MCP 故障，改給 0.5 中性貢獻
- 新公式：weighted = success_count + 0.5 * no_data_count；score = 0.2 + 0.7*(weighted/total)
- MCP 全無資料時：0.2 + 0.7*0.5 = 0.55（而非 0.2）

順帶修正 _score_llm 中過時的 GCP-A fallback URL 註解（實際已走 settings）

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 20:00:54 +08:00
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45f6f17558 fix(watchdog): dedup hash 非確定性 bug — 改用 hashlib.sha256 + setnx atomic
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根因：Python 內建 hash() 受 PYTHONHASHSEED 影響，每次 process 重啟值不同。
每次 kubectl rollout restart → 新 pod 算出不同 dedup_hash → 繞過 1h TTL → 洗版。

症狀：連續 rollout 4-5 次後，META SYSTEM 每分鐘一條狂發（19:39/40/41/42 截圖）。

修法：
1. hash() → hashlib.sha256(content.encode()).hexdigest()[:12]（跨 pod/重啟確定性）
2. redis.exists+setex → redis.set(nx=True) atomic setnx（防多 replica 並發多發）

2026-05-04 ogt

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 19:47:42 +08:00
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00bc3b0cc9 docs(awooop): 補 12-agent-game-rules.md ADR-106/107 關聯連結 
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 19:33:48 +08:00
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8629ac709b feat(awooop): Phase 1-8 完整實作 — AwoooP Agent Platform 六平面架構
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## Phase 1-3: Control Plane + Contract System
- awooop_phase1_control_plane_2026-05-04.sql: 12 張核心表 + RLS
- awooop_phase1_batch1_rls_2026-05-04.sql: 全部 FORCE RLS + GRANT
- packages/awooop-contracts/: 六合約 JSON Schema + golden fixtures
- src/models/awooop_contracts.py: Pydantic v2 contract models（extra=forbid）
- src/repositories/contract_repository.py: contract lifecycle（draft→published→active）
- src/services/contract_service.py: HMAC publish sig + Redis multi-sig activate
- src/services/schema_validator.py: LLM output validator（retry×3, E-SCHEMA-001）

## Phase 2: Tenant Isolation
- awooop_phase2_budget_ledger_2026-05-04.sql: budget_ledger + RLS
- src/services/budget_service.py: Token Budget Hard Kill 三層防線
- src/core/context.py: PROJECT_ID ContextVar（31 background loop 自動繼承）
- src/db/base.py + models.py: project_id 欄位 + RLS set_config 注入
- src/hermes/nl_gateway.py: project_id Redis key 前綴（Phase A 雙寫）
- src/services/anomaly_counter.py: per-project 改造（Phase A fallback）

## Phase 4: Platform Shell in Shadow Mode
- awooop_phase4_run_state_2026-05-04.sql: run_state + step_journal + idempotency
- src/services/run_state_machine.py: 8-state FSM + SKIP LOCKED + stale reaper
- src/services/platform_runtime.py: UUID v7 + W3C trace_id + shadow_execute
- src/services/audit_sink.py: PII/secret redaction 9 patterns
- src/api/v1/platform/runs.py: POST/GET /v1/platform/runs（Router→Service 架構）
- src/workers/platform_worker.py: SKIP LOCKED worker + heartbeat + reaper loop
- src/main.py: platform router + lifespan worker start/stop

## Phase 5: MCP Gateway 五閘門
- awooop_phase5_mcp_gateway_2026-05-04.sql: 4 表 + RLS
- src/plugins/mcp/gateway.py: McpGateway（Gate 1~5, E-MCP-GATE-001~009）
- src/plugins/mcp/redaction_middleware.py: 雙層 redaction + 16K 截斷
- src/plugins/mcp/registry.py: __provider name mangling（ADR-116）
- src/plugins/mcp/credential_resolver.py: k8s secret ref 解析
- tests/test_mcp_credential_isolation.py: 10 個迴歸測試（secret leak 防再現）

## Phase 6-8: EwoooC + Channel Hub + Approval Token
- awooop_phase6_ewoooc_onboarding_2026-05-04.sql: ewoooc tenant + 4 read-only MCP tools
- awooop_phase7_channel_hub_2026-05-04.sql: conversation_event + outbound_message
- src/services/provider_proxy.py: ProviderProxy + PlatformEnvelope（ADR-115）
- src/services/channel_hub.py: Telegram inbound mirror + Progressive Feedback（30s）
- src/services/awooop_approval_token.py: HS256 + jti NX replay 防護 + suggest mode

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 19:31:53 +08:00
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0a90dab1e9 fix(ollama): ADR-110 修正 — 111 升 primary，failover log 改用動態 URL 標識
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根因：K8s pods → GCP-A/B:11434 = connection refused（外網路由不通），
但 ConfigMap 把 GCP-A 設為 OLLAMA_URL（primary），導致容災鏈最終才輪到 111。

ConfigMap (04-configmap.yaml):
- OLLAMA_URL: GCP-A → 192.168.0.111（K8s 內網可達的 primary）
- OLLAMA_SECONDARY_URL: GCP-B → 34.143.170.20（GCP-A，保留待 nginx proxy 後恢復）
- OLLAMA_FALLBACK_URL: 111 → 34.21.145.224（GCP-B，保留待 nginx proxy 後恢復）
- 長期目標：110 架設 nginx proxy 轉發 GCP，ConfigMap 改指向 110:11435/11436

health.py (check_ollama):
- 改為三層輪查（primary → secondary → tertiary）
- primary up → "up"；fallback up → "degraded"；全掛 → "down"
- 不再只看 OLLAMA_URL 一台，反映實際路由可用狀態

ollama_failover_manager.py (_decide_route / select_provider):
- 變數名改為 url_primary/secondary/tertiary（原 gcp_a/gcp_b/local 與實際 URL 脫鉤）
- routing_reason 改用動態 IP label，不再硬編碼 "GCP-A"/"GCP-B"/"Local"
- _write_failover_audit failed_host 同步改用實際 URL

2026-05-04 ogt

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 19:17:07 +08:00
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855819652e fix(ollama): 修復容災鏈四大 bug — OFFLINE cache 放大 + SLOW 路由缺失 + recovery 命名不一致 + 告警顯示
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根因：NetworkPolicy reload/CNI 瞬態抖動導致三台 Ollama 同時 OFFLINE，被 30s Redis cache 放大
  → 後續 30s 所有請求誤走 Gemini，燒 quota

B1 ollama_health_monitor: OFFLINE TTL 從 30s 縮短至 5s，儘速重試
B3 ollama_health_monitor: inference ConnectError 改判 DEGRADED（connectivity 通了不算 OFFLINE）
B5/B6 ollama_auto_recovery: _current_primary 預設改 "ollama_gcp_a"，比對改 startswith("ollama_")
SLOW 修復: failover_manager SLOW 節點視為可用（優於 Gemini quota 耗盡）
SLOW 修復: auto_recovery SLOW 也計入 recovery counter（GCP 高負載仍可切回）
告警顯示: _provider_display 加入 GCP-A/B/Local 具體伺服器識別
告警顯示: _format_automation_block 加入 Token 用量行

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 19:01:27 +08:00
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f6b698c873 fix(aiops): Critic 修復 — PromQL 注入防線 + flag=False escalation bug + 計數虛報
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Bug 1 (drift.py): DRIFT_AUTO_ADOPT_ENABLED=false 時仍設 auto_block_reason
  → 導致 escalation 被觸發，把「停用」誤判為「阻擋事故」
  修法: flag=False 不設 auto_block_reason，視為靜默停用

Bug 2 (coverage_evaluator_job.py): asset name/host/namespace/ip 直接 f-string
  進 PromQL，無白名單驗證
  → 髒資料可生成語意污染規則或讓 Prometheus reload 失敗
  修法: 加 _safe_label_val 正規表達式白名單（^[a-zA-Z0-9._\-]+$），
        不合法直接 skip + debug log

Bug 3 (coverage_evaluator_job.py): ON CONFLICT DO NOTHING 衝突時 created 仍 +1
  → stats["rules_auto_created"] 計數虛高，Redis 冷卻被誤設
  修法: 改用 INSERT ... RETURNING rule_name，fetchone() 確認實際插入才計數和設冷卻

附加: Redis RuntimeError 單獨 catch + log（不再靜默 pass）

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 14:31:53 +08:00
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72cd79ed8b fix(aiops): Task2 drift auto-adopt 根因修復 + Task3 coverage gap 規則自動生成
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Task 2 — Drift 自動採納修根因:
  根因: _analyze_and_notify() 中 report 是 in-memory 物件，
        update_interpretation() 只更新 DB，不回寫 report.interpretation，
        導致 auto_adopt_if_safe() 永遠看到 None → 觸發「尚無 Nemotron 意圖分析」
        → Drift 自動採納 0 筆
  修法: report.interpretation = interpretation（DB 寫入後立即回寫記憶體）
  附加: DRIFT_AUTO_ADOPT_ENABLED flag（default=True，回滾: kubectl set env ...=false）

Task 3 — Coverage Gap → AI 規則自動生成執行器:
  根因: evaluate_once() 只分析 red 缺口，但無執行器將分析轉為實際規則
        → alert_rule_catalog 的 ai_generated source 永遠為 0 條
  修法: 新增 _auto_create_rules_for_uncovered_assets(run_id)
    · 查 auto_alerting=red 的 top 5 host/k8s_workload asset
    · 依 asset_type 生成範本化 PromQL rule（host→up, k8s→replicas_available）
    · UPSERT 進 alert_rule_catalog（source='ai_generated', review_status='pending_review'）
    · Redis 24h 冷卻防重複，Redis 不可用時降級繼續
  附加: COVERAGE_AUTO_RULE_ENABLED flag（default=True，回滾: kubectl set env ...=false）

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 14:22:51 +08:00
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54a4e59af9 fix(auto-approve): 主機告警 SSH 診斷指令豁免 bad_target 驗證 — 修復 no_executable_action 
根因：host_resource_alert 規則使用 {host}（由 instance label 派生），
與 {target} 無關；但 host 告警缺少 K8s deployment label 導致 target=unknown，
_is_bad_target=True → kubectl_command 被清空 → auto_approve 以
no_executable_action 拒絕 → 每日 3 次人工攔截。

修復：
- alert_rule_engine.py: SSH 指令（startswith "ssh "）跳過 bad_target 驗證
- prompts.py: 主 + Nemo prompt 補 Host* 告警 SSH 診斷規則，防 LLM fallback 路徑輸出 kubectl
- ssh_command_whitelist.py: 新建唯讀 SSH 指令白名單模組（供 _ssh_execute() 執行前驗證）

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 14:15:05 +08:00
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ccffaa5f3e fix(telegram): 補 send_text 公開方法 — 修復 drift_adopt_telegram_failed 
drift_adopt_service / drift_remediator / runbook_generator / signoz_webhook
均呼叫 tg.send_text()，但 TelegramGateway 缺少此公開方法，
導致每次呼叫拋出 AttributeError。

新增 send_text() 委派至 _send_request('sendMessage')，
預設 chat_id = alert_chat_id（SRE 群組），支援 HTML parse_mode。
不動任何呼叫方，不改 dedup / nonce 邏輯。

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 14:11:32 +08:00
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439c432c7c security: 清除 .claude/settings.json 洩漏的 Gitea API token
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問題：
.claude/settings.json 被 git 追蹤，內含 15 處 Gitea API token
（2fa33d4e...，由 Claude Code bash history 自動記錄產生）

修復：
1. 將 token 全數替換為 REDACTED_GITEA_TOKEN（15 處）
2. 將 .claude/settings.json 加入 .gitignore，防止再次追蹤

需要同步行動：
- 請在 Gitea 撤銷 token 2fa33d4e6d8ef1806c18875ed6fec216c8a10e78
- 歷史 commit 中仍含 token（無法 rewrite 公開 history）

2026-05-04 ogt + Claude Sonnet 4.6

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 14:08:08 +08:00
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898d7b0ff2 docs(logbook): 更新 Phase 2 進度（P0-05/06/11/12 全部完成） 
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 13:55:14 +08:00
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f2f5148ca6 fix(awooop): Phase 2 第二批 P0 安全強化 + Redis key 命名空間修正 
## P0-05 Callback Nonce 防偽造（ADR-116）
- security_interceptor.py：generate_callback_nonce() 新增 HMAC-SHA256[:16] 附加
  - 新 5-part 格式：{action}:{short_id}:{ts}:{rand}:{hmac16}
  - CALLBACK_HMAC_SECRET 未設定時降級 warning（向後相容）
- security_interceptor.py：parse_callback_data() 新增 5-part 分支 + HMAC 驗證
- config.py：新增 CALLBACK_HMAC_SECRET: str = Field(default="")

## P0-06 Webhook HMAC Replay 防護（ADR-116）
- security_interceptor.py：新增 check_webhook_nonce()（Service 層，get_redis 在此層合法）
- webhooks.py：verify_webhook_signature() 新增兩個可選 Header
  - X-Webhook-Timestamp：±300s 窗口驗證（若提供）
  - X-Webhook-Nonce：呼叫 check_webhook_nonce()（Redis NX dedup，fail open）
  - 移除直接 get_redis import（leWOOOgo 積木化修正）

## P0-11 ollama:current_primary Redis key 遷移 Phase A（ADR-110）
- ollama_auto_recovery.py：_REDIS_PRIMARY_KEY = "platform:ollama:current_primary"
  - 雙寫舊 key "ollama:current_primary"（Phase A 30 天）
  - 讀取以新 key 為主，fallback 舊 key

## P0-12 consensus Redis key 加 project namespace Phase A
- consensus_engine.py：新增 _consensus_key() / _consensus_legacy_key() helper
  - 新 key：{project_id}:consensus:{consensus_id}
  - project_id=None 時 fallback __platform__:consensus:{consensus_id}
  - Phase A 雙寫 + fallback 讀取，現有呼叫方零修改

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 13:54:38 +08:00
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2b2359e367 fix(ai-router): ADR-110 GCP 三層容災 — 修復 Ollama 直跳 Gemini 根因
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根因（所有告警 Ollama 失敗直接跳 Gemini 的原因）：
AIProviderEnum 缺少 ollama_gcp_a / ollama_gcp_b / ollama_local
→ AIProviderEnum("ollama_gcp_a") 拋 ValueError
→ fallback chain 清空（所有 GCP 端點轉換全失敗）
→ failover_fallback = []（空 list，非 None）
→ fallback_chain 被覆寫為 [] 而非走 Gemini 備援
→ AIProviderRegistry.get("ollama_gcp_a") 回傳 None → not_registered → 跳過
→ 整條 Ollama 鏈（GCP-A → GCP-B → 111）全部略過，直接跳 Gemini

修復：
1. AIProviderEnum 新增 OLLAMA_GCP_A / OLLAMA_GCP_B / OLLAMA_LOCAL
2. PROVIDER_LATENCY_BUDGET 補齊三個新 enum
3. ollama.py 新增 OllamaGcpBProvider（OLLAMA_SECONDARY_URL = GCP-B 34.21.145.224）
4. _init_registry() 補登：
   - "ollama_gcp_a" alias → OllamaProvider（GCP-A，OLLAMA_URL）
   - OllamaGcpBProvider（"ollama_gcp_b"，OLLAMA_SECONDARY_URL）
   - "ollama_local" alias → Ollama188Provider（111，OLLAMA_FALLBACK_URL）

修復後路由順序：GCP-A → GCP-B → Local(111) → Gemini → Claude

2026-05-04 ogt + Claude Sonnet 4.6

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 13:49:32 +08:00
Your Name
14bf86a462 fix(awooop): Phase 2 初批 P0 修正 + Phase 1 Task 1.7 integration tests 
## P0 安全 / 架構修正

### P0-08 telemetry.py — 移除硬碼 IP assert（ADR-121）
- config.py：新增 OTEL_ALLOWED_ENDPOINTS（預設 192.168.0.188）+ OTEL_FORBIDDEN_ENDPOINTS
- telemetry.py：_validate_endpoint() 改為 config-driven allowlist/forbidlist
- EwoooC 可用 env 覆寫 OTEL_ALLOWED_ENDPOINTS 指向自己的 SigNoz host

### P0-13 mcp_bridge.py — K8s namespace 由 settings 提供
- config.py：新增 AWOOOI_K8S_NAMESPACE（預設 "awoooi-prod"）
- mcp_bridge.py：5 處 parameters.get("namespace", "awoooi-prod") → settings.AWOOOI_K8S_NAMESPACE
- EwoooC/Tsenyang 可設自己的 namespace

### P1-24 decision_manager.py — silence key 常數統一
- 新增 from src.services.telegram_gateway import SILENCE_KEY_PREFIX
- f"telegram_silence:{target}" → f"{SILENCE_KEY_PREFIX}{target}"
- 消除跨兩處重複定義（ADR-118 No Island Coding 原則）

## Phase 1 Task 1.7 Integration Tests
- tests/integration/test_awooop_phase1_schema.py：31 個測試案例
  - awooop_projects CHECK 約束（4 cases）
  - revision 不可變性 trigger（5 cases：draft 可改、published 鎖住、身份欄不可改、非法流轉、DELETE 禁止）
  - awooop_published_revisions VIEW draft/published 隔離（2 cases）
  - active_pointer_guard（3 cases：不可指向 draft、可指向 active、跨租戶 mismatch）
  - RLS fail-closed（3 cases：未設/錯設/正確設 project_id）
  - outbox FK + dedup（2 cases）

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 13:46:19 +08:00
Your Name
13e51802fe feat(awooop): Phase 0 全 ADR + Phase 1 control plane schema（含 critic 四項修正） 
## Phase 0（文件層，全部 Accepted）
- ADR-106/107：AwoooP 平台架構 + 儲存策略
- ADR-111~118：Bootstrap → RLS 七項核心 ADR
- ADR-119~124：SAGA → Singleton Decomposition 六項 ADR
- ADR-UI-01~04：Operator Console 四個 UI ADR

## Phase 1（DB schema + migration）
- awooop_phase1_control_plane_2026-05-04.sql：7 張新表 + trigger + RLS
  - Step 1：三角色（platform_admin/migration BYPASSRLS，awooop_app 受 RLS）
  - Step 13：GRANT awooop_app 最小權限（7 條）
  - Step 14：RLS fail-closed，移除 __platform__ 後門
- awooop_phase1_batch1_rls_2026-05-04.sql：高流量四表三步式 ADD COLUMN
- awooop_phase1_batch1_backfill.py：SKIP LOCKED 分批回填腳本
- awooop_models.py：7 個 SQLAlchemy 2.x models

## Critic 修正（4 Critical + 3 Major）
- C-1：ADD CONSTRAINT IF NOT EXISTS → DO 塊 + pg_constraint 查詢
- C-2：__mapper_args__ 字串 list → primary_key=True on mapped_column
- C-3：__platform__ RLS 後門 → 全移除，改用 BYPASSRLS role
- C-4：awooop_app role 從未建立 → Step 1 + 7 條 GRANT
- M-1：active_pointer_guard SECURITY DEFINER（FORCE RLS 跨租戶保護）
- M-2：pg_partman create_parent 加冪等防護
- M-3：immutability trigger 新增身份欄位保護（project_id/family/contract_id）

## Task 1.2 修補
- agent_loader.py：硬編碼 Mac 路徑 → AGENTS_DIR 環境變數
- Dockerfile：補 COPY .claude/agents/

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 13:37:11 +08:00
Your Name
b4055c5915 feat(embedding): ADR-110 升級 bge-m3:latest 1024 維向量
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GCP-A (34.143.170.20) 無 nomic-embed-text，改用 bge-m3:latest（專用
多語言 embedding 模型），產生 1024 維向量。

變更：
- embedding_service.py: 加入 bge-m3:latest=1024 維到 MODEL_DIMENSIONS，
  預設模型改為 bge-m3:latest，更新文件說明
- playbook_embedding_repository.py + interfaces.py: 更新維度說明
- migrations/embedding_bge_m3_1024.sql: pgvector schema 遷移
  rag_chunks + playbook_embeddings vector(768) → vector(1024)
- scripts/reembed_bge_m3.py: 遷移後重新嵌入現有資料的 script

遷移步驟：
  1. 執行 embedding_bge_m3_1024.sql（清空現有 768 維向量，變更維度）
  2. 執行 python scripts/reembed_bge_m3.py 重新嵌入

2026-05-04 ogt + Claude Sonnet 4.6

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 11:18:20 +08:00
Your Name
f7e5fc772e feat(ai-models): ADR-110 GCP-A Primary + 全任務模型升級 (v1.4.0)
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models.json v1.3.0 → v1.4.0：
- endpoint: 192.168.0.111 → GCP-A 34.143.170.20:11434 (ADR-110)
- rca/drift_summary/playbook_draft/rag_generate: qwen2.5:7b → qwen3:14b
- code_review: qwen2.5-coder:7b → qwen2.5-coder:32b (GCP SSD)
- embedding: nomic-embed-text → bge-m3:latest (多語言更佳)
- image_analysis: llava → minicpm-v:latest
- 新增: trust_scoring/alert_triage/intent_classify/governance 四任務

config.py：
- OLLAMA_REQUIRED_MODELS: 新增 qwen3:14b + hermes3:latest
- OLLAMA_TOOL_MODEL: llama3.1:8b → hermes3:latest
- OPENCLAW_DEFAULT_MODEL: qwen2.5:7b-instruct → qwen3:14b

111 背景安裝 minicpm-v + qwen3:14b (fallback 補齊)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-04 10:59:38 +08:00
AWOOOI CD
035fe20e4d chore(cd): deploy 0068440 [skip ci] 2026-05-03 23:45:12 +08:00
Your Name
8ab6ddb4ca fix(ci): 修復 Docker build lock stale 偵測（奈秒 + 時區縮寫解析失敗）
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docker network inspect 回傳 "2026-05-03 00:07:48.009219232 +0800 CST"
date -d 不接受：(1) 奈秒小數 (2) 數字 offset + 縮寫同時存在
→ CREATED_EPOCH=0 → stale 永不觸發 → lock 最長殘留 30min 才 timeout

修法：sed 去除奈秒與末尾縮寫後再解析，Python3 作備援
stale 告警訊息加上 age 秒數，方便排查

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-03 23:31:17 +08:00
Your Name
0068440388 fix(failover): Gemini 永遠附在 Ollama fallback 鏈尾（ADR-110 漏加）
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GCP-A HEALTHY → fallback=[GCP-B, Local, Gemini]
GCP-B HEALTHY → fallback=[Local, Gemini]
與舊 111 HEALTHY → fallback=[Gemini] 行為一致，保留雲端最後防線。

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-03 23:03:34 +08:00
Your Name
2409d861fa fix(test): 更新 auto_recovery 測試斷言至 ADR-110（ollama_111 → ollama_gcp_a）
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- notify_recovery 斷言改為 "ollama_gcp_a"（3 處）
- alert_recovery payload["to"] 改為 "ollama"
- test_full_recovery_flow 改用 mock alerter 避免打真實 Telegram Bot API

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-03 22:57:58 +08:00
Your Name
4461c2778d fix(model-probe): 補回 ollama_188 provider 判斷（ADR-110 漏刪）
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188 CPU-only 主機雖移出 routing chain，但 probe 仍可被呼叫。
保留 192.168.0.188 → "ollama_188" 映射，避免 test_success_188_provider 失敗。

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-03 22:52:24 +08:00
Your Name
b1ef05fa8c feat(ollama): ADR-110 GCP 三層容災架構（GCP-A → GCP-B → Local → Gemini）
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## 變更摘要
- Primary: http://34.143.170.20:11434 (GCP-A SSD, 9x 載速 + 2x 推理)
- Secondary: http://34.21.145.224:11434 (GCP-B SSD)
- Fallback: http://192.168.0.111:11434 (M1 Pro Local HDD，最後防線)
- 廢止 ADR-105「111 唯一鐵律」，新建 ADR-110

## 核心改動
- config.py: 新增 OLLAMA_SECONDARY_URL；validator 加 GCP IP 白名單（34.143.170.20, 34.21.145.224）
- ollama_failover_manager.py: 三層 Ollama 決策矩陣；並行健康檢查三台；health_111 → health_gcp_a
- ollama_health_monitor.py: host label 萃取改為通用版（支援 GCP 公網 IP）
- failover_alerter.py: 故障/恢復主機動態顯示，不再硬編碼「Ollama 111 (GPU)」
- ollama_auto_recovery.py: notify_recovery 改為 ollama_gcp_a；recovered_host 動態
- k8s/awoooi-prod: configmap + deployment + network-policy 同步更新（egress 加 GCP /32）
- 服務層: 10 個服務檔案硬編碼 192.168.0.111 改為讀 settings.OLLAMA_URL
- 測試: URL 常數更新，新增三層容災場景，GCP IP 白名單驗證測試

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-03 22:49:23 +08:00
Your Name
e45b055e0e feat(governance): AI 治理事件處理鏈四軌交付（C/D/B/A）
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【十二人專家團隊全景掃描 + 並行四軌實施】

統帥質疑「有讓 12-agent 一起協作嗎」後，依照團隊規則完成全鏈路交付：
onboarder + critic + db-expert + debugger + frontend-designer 並行掃描，
找到 6 大 Gap，再由 fullstack-engineer × 4、refactor-specialist 協作落地。

【Track C — trust_drift 雙寫整併】

兩條獨立寫 event_type=trust_drift 路徑互不呼叫，下游 consumer 拿到雙份資料
無法判定 source-of-truth。整併保留 governance_agent.check_trust_drift（功能
更全：auto-deprecate + Telegram + PG），TrustDriftDetector 降為純統計 lib，
W-6 watchdog 改呼叫 governance_agent。新增 TestSinglePgWritePerDriftScenario
驗證同一 drift 場景只觸發一次 PG 寫入。

  變更：
    - apps/api/src/services/trust_drift_detector.py（lib only，不再寫 PG）
    - apps/api/tests/test_trust_drift_watchdog.py（W-6 改 mock governance_agent）

【Track D — governance_remediation_dispatch 派遣表】

ai_governance_events 是不可變 Event Sourcing，不能塞執行狀態。新建派遣表
作為投影層：1 event → 0..N dispatches，狀態可變、可重試、可審計。

  - PgEnum 5 種 event_type + 7 階段狀態機（pending → dispatched → executing →
    succeeded/failed/cancelled/skipped）
  - 失敗重試 INSERT 新 row（不改舊 row 的 status，保留審計痕跡）
  - Partial unique index ux_grd_one_active_per_event 強制「同事件唯一活躍」
  - 4 個複合 index 支援 worker poll、去重查詢、觀測面板
  - FK 對應 ai_governance_events / playbooks / incidents / approval_records
    全部 SET NULL（avoid cascade lock，但 governance_event 用 RESTRICT）

  變更：
    - apps/api/src/db/models.py（GovernanceRemediationDispatch ORM class）
    - apps/api/migrations/governance_remediation_dispatch_2026-05-03.sql
    - apps/api/src/repositories/governance_remediation_dispatch_repo.py
      （6 個 async 函式 + 3 個自訂例外：DispatchAlreadyActive /
       InvalidStatusTransition / DispatchNotFound）
    - apps/api/src/models/governance_dispatch.py（DecisionContextV1 等 4 schema）
    - apps/api/tests/test_governance_remediation_dispatch.py（29 tests）

【Track B — /governance 頁面】

後端 PR1 三個 endpoint + 前端 PR2-5 完整三 Tab。

PR1 後端：
  - GET /api/v1/ai/governance/events（events_tab，含 event_type/severity/
    狀態/時間範圍篩選 + 分頁）
  - GET /api/v1/ai/governance/queue（queue_tab，含 graceful fallback：
    dispatch 表不存在時回 table_pending=True 不拋 500）
  - GET /api/v1/ai/governance/summary（slo_tab 30d 違反時序圖）
  - severity 映射規則寫死（critic 建議未來移 settings）

PR2-5 前端：
  - /governance 路由 + AppLayout + Compliance Badge 橫幅 + PageTabs
  - SLO Tab：3 KPI 卡片（Syne 28px + StatusOrb + 7d sparkline）+
    30d 違反 stacked BarChart
  - Events Tab：篩選列 + 表格 + inline 展開行（JSON / 修復建議 / 派遣記錄）
  - Queue Tab：HITL 待辦卡片 + 信任度進度條 + 批准/拒絕按鈕（本 PR console.log）
  - Sidebar 加入「AI 治理」入口（ShieldCheck icon）
  - i18n 雙語完整（governance namespace + nav.governance）
  - 7 個新元件：slo-kpi-card / slo-violation-chart / events-table /
    events-filter-bar / event-detail-drawer / queue-item-card / queue-history-tabs

  變更：
    - apps/api/src/api/v1/ai_governance.py（router）
    - apps/api/src/services/governance_query_service.py
    - apps/api/src/models/governance.py（Pydantic V2 schemas）
    - apps/api/tests/test_ai_governance_endpoints.py（21 tests）
    - apps/web/src/app/[locale]/governance/（page + 3 tabs）
    - apps/web/src/components/governance/（7 元件）
    - apps/web/messages/{zh-TW,en}.json（governance namespace）
    - apps/web/src/components/layout/sidebar.tsx（+1 行）
    - apps/api/src/main.py（router include）

【Track A — GovernanceDispatcher 決策融合】

把治理事件接到 remediation 執行器，走北極星方向決策融合（LLM × Playbook trust
× MCP），符合「禁寫死規則」鐵律。

  - 設計鐵律：DecisionFusionAdapter 是新增 wrapper，**不修改任何 Tier 3 檔**
    （decision_manager / learning_service / trust_engine），只 consume 既有 API
  - 三維融合公式：confidence = 0.4×llm + 0.3×playbook_trust + 0.3×mcp_consistency
    （權重加 TODO 標明未來由 AI 自學調整）
  - 三分支決策路徑：
    confidence ≥ 0.85 → auto_dispatch（status=dispatched）
    0.65 ≤ confidence < 0.85 → pending_approval（HITL）
    confidence < 0.65 → skip + log
  - decision_context JSONB 完整記錄三維輸入快照（給未來 fine-tune 用）
  - poll 30s 掃 unresolved 事件，仿 governance loop 模式
  - 重複事件擋去重（呼叫 get_active_for_event）

  變更：
    - apps/api/src/services/governance_dispatcher.py
    - apps/api/src/services/decision_fusion_adapter.py
    - apps/api/tests/test_governance_dispatcher.py（14 tests）
    - apps/api/src/main.py（lifespan task 接 run_governance_dispatcher_loop）

【驗證】

1836 個 unit test 全過（29 skipped 為既有 PG integration env 問題）

【調度教訓 — 已記入 memory】

- vuln-verifier 應在 fullstack-engineer **之前**跑（避免並行讀到已修代碼誤判）
- critic 雙輪審查不可省（第二輪抓到 NaN sentinel + Prom rule 連鎖）
- 北極星「禁寫死規則」搭配 decision-fusion 確實實施

【未動 Tier 3 — 已驗證】

git diff 確認本 commit 完全沒改 decision_manager.py / learning_service.py /
trust_engine.py，只新增 wrapper service consume 既有 API。

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

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-03 12:42:40 +08:00
Your Name
577250a678 fix(governance): 修反消音化 W-3/W-4 守衛 + Prometheus 補資料缺失告警
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【統帥怒訓 — 違反 feedback_full_chain_first_then_fix.md 鐵律】

前次 commit f1362fcc 用 skip 條件把告警吞掉，是消音化解法：
  - W-3：total_exec<10 永遠 skip → Redis 永遠空也不會告警
  - W-4：playbooks total==0 永遠 skip → 表被清空也不會告警
  - Prometheus NaN sentinel + 既有 < 0.1 規則疊加後沒任何路徑會告警

統帥怒訓「又把告警給消失了」「已經這樣做幾次了」。本 commit 救回告警可見性。

【修法 — 啟動 30 分鐘寬限 + 過期改打資料管線斷新告警】

- ai_slo_watchdog_job.py 新增模組層 _PROCESS_START 與 _grace_active() 守衛：
  - W-3a：metric 有資料 + rate<0.30 → 既有「飛輪成功率過低」
  - W-3b：rate=None 且 uptime>30min → 新告警「飛輪資料管線無流量」
  - W-4a：playbooks total>0 + approved=0 → 既有「自動修復鏈路斷裂」
  - W-4b：playbooks total=0 且 uptime>30min → 新告警「Playbook 表初始化失敗」

- 3 份 Prometheus rule（k8s/monitoring/flywheel-alerts.yaml、
  ops/monitoring/alerts.yml、ops/monitoring/alerts-unified.yml）新增
  FlywheelExecutionRateMissing：absent() 或 NaN 持續 30 分鐘 → 告警，
  與 watchdog W-3b 雙保險

【已加入 memory】

feedback_silencing_alerts_recurring_violation.md 鎖入紅線鐵律：
  「fresh deploy / init guard 用 skip 吞告警 = 結構性失職，必須分流寬限期 +
   過期改打資料管線斷新告警」

【驗證】

106 個治理相關 unit test 全過：
  test_trust_drift_watchdog / test_governance_agent / test_failover_alerter /
  test_check_trust_drift_commit_outside_context_poc /
  test_governance_remediation_dispatch / test_ai_governance_endpoints /
  test_governance_dispatcher

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

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-03 12:39:46 +08:00
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0f009d9459 docs(adr): ADR-109 telegram_gateway unified dedup layer (P0 #1 design doc) 
P0 #1 (徹底長期修系列) — 33 個 send_xxx 方法各自寫 dedup 改為統一在
`_send_request()` 一層處理，未來新增 send_xxx 方法傳兩個 kwargs
(dedup_scope + dedup_fingerprint) 即自動繼承 dedup，不再有「漏修一條鏈
就轟炸統帥」的設計缺陷。

當前是 Proposed 狀態，等首席架構師審。Tier 2 橙區。

包含：
- 33 個 send_xxx 的 dedup_scope mapping
- 5-6 小時 / 3 commits 漸進式重構計畫
- 與 ADR-108 (incident_id fingerprint) 的協同關係

兩個 ADR 都是「徹底長期修」系列的 design 階段，等統帥批准執行。

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-03 01:54:19 +08:00
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62698158b0 docs(adr): ADR-108 incident_id fingerprint derivation (P1 design doc) 
P1 (徹底長期修系列) — 治本所有 dedup 問題：把 incident_id 從 uuid4()[:6]
隨機改為 fingerprint hash 派生，open 期間同 fingerprint 強制復用同一 INC。

當前是 Proposed 狀態，等首席架構師審。Tier 3 紅區改動，不批不動 code。

包含：
- 影響面盤點（1435 引用點，預計實際需改 ~10 檔 ~20 處）
- 4 phase 漸進式遷移（~7 小時）
- 跨日 reuse 行為決策
- 5 條風險與緩解
- 5 條驗收標準

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-03 01:53:09 +08:00
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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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314cb0e079 fix(test): align governance self_failure assertions with nested payload schema
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Codex commits dedb1208 + b710f3f3 (governance enrich + normalize) 把
_alert("governance_self_failure", ...) 的 payload structure 重構成嵌套：
  {status, impact: {failed_checks, total_checks, errors}, remediation, actionable}
（governance_agent.py:604-624，2026-04-29 critic M6 修），
但 3 個 test 還用舊路徑 `payload["total_checks"]` 直讀，KeyError 後 RuntimeError 模擬 cascading 失敗。

修法：3 個 assertion 改為讀正確嵌套路徑：
- test_governance_agent.py:601 → payload["impact"]["total_checks"|"failed_checks"]
- test_wave8_remaining_blockers.py:223 → 同
- test_wave8_remaining_blockers.py:268 → 同

Tests: 30 passed (test_governance_agent + test_wave8_remaining_blockers 全部)

效果：解開 dedb1208 / b710f3f3 / a38d9112 三個 commit 因 governance test fail
被擋在 build-and-deploy 之前的卡點，恢復 CD 鏈通暢。

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-03 00:05:04 +08:00
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b5adf77a9f fix(ci): make Telegram notifications non-blocking on CD pipeline
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統帥鐵證：tests/build-and-deploy 步驟內 'Notify Pipeline Start/Failure'
curl 400 → 整個 job exit 22 → 從 5/1 起連續 14 個 commit 部署被擋。

根本問題：通知步驟是觀察用，不該成為 CI 主流程的 hard requirement。
curl -fS 預設 fail-on-HTTP-error，配上 Telegram bot 任何短暫故障
（token revoke、bot 被踢出 chat、API rate limit）就把整條 pipeline 擊垮。

修法：對齊 line 922 既有正確 pattern，5 處 curl 全部加
`|| echo "TG notify failed (non-fatal): exit=$?"`

涉及 step:
- Notify Pipeline Start (line 79)
- Notify Pipeline Failure × tests (line 236)
- Notify Pipeline Failure × build-and-deploy (line 779)
- Notify Pipeline Failure × post-deploy-checks (line 938)
- (line 924 已是正確 pattern, 不動)

副效應：notification 失敗從此只會在 log 留 warning，不擋 CI。
真正的 telegram 故障由系統其他監控機制（alertmanager_health 等）負責。

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-03 00:00:20 +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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ed0553c337 docs(governance): add AI governance alert schema and consolidation playbook 2026-05-02 23:47:00 +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
AWOOOI CD
68e182381f chore(cd): deploy da772a1 [skip ci] 2026-05-02 17:58:22 +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
AWOOOI CD
697e13b23a chore(cd): deploy 297afb6 [skip ci] 2026-05-02 17:28:56 +08:00
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297afb6998 fix(ci): require all 4 host keys before overwriting ssh-mcp-key secret
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When ssh-keyscan partially fails (e.g. one host is unreachable for a
moment) the previous logic still considered the file non-empty, so it
patched ssh-mcp-key/known_hosts with an incomplete set. asyncssh then
rejected any SSH to the missing host with "Host key is not trusted",
which routed every host disk-full / docker alert into the emergency
escalation channel and spammed Telegram (today's regression for 110).

Now we explicitly verify all four target IPs (110/120/121/188) appear
in the scan output before patching. Missing any of them aborts the
patch and keeps the previously-good secret untouched, plus logs the
ssh-keyscan stderr to help debug intermittent network issues.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-05-02 17:14:30 +08:00
AWOOOI CD
a6409c39e2 chore(cd): deploy b3a0f0d [skip ci] 2026-05-02 16:49:00 +08:00