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1136 Commits

Author SHA1 Message Date
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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
Your Name
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
Your Name
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
Your Name
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
Your Name
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
Your Name
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
Your Name
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
Your Name
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
Your Name
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
Your Name
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
Your Name
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
Your Name
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
Your Name
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
Your Name
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
Your Name
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
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
Your Name
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
Your Name
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
Your Name
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
Your Name
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
Your Name
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
Your Name
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
Your Name
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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337bcb912e fix(db): tolerate knowledge enum owner mismatch
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2026-05-01 11:08:21 +08:00
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3a6acae408 fix(km): add phase25 knowledge enum labels
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2026-05-01 11:03:03 +08:00