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Author SHA1 Message Date
OG T
92349bc37c feat(aiops): asset_change_tracker — 8 張 0 writer 表全數上線
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Review 盲點 10: asset_change_event 仍 0 筆 (最後一張 0 writer 表)

新增 asset_change_tracker_job.py (~180 行):
  每 1h 比對最近兩次 asset_discovery_run,寫 asset_change_event:
    ✅ asset_added: newer run 有但 older run 沒有 (EXCEPT SET)
    ✅ asset_removed: older 有但 newer 沒有
    ✅ lifecycle_changed: asset_inventory.lifecycle_state='deprecated' 且 updated_at 近 2h
  使用 SET EXCEPT 避免 N+1, 單次 INSERT 完成所有 diff

8 張 ADR-090 0 writer 表到此全數有 writer:
  ✅ asset_inventory / asset_discovery_run / asset_coverage_snapshot
     / asset_relationship / asset_change_event / asset_compliance_snapshot (asset_*)
  ✅ alert_rule_catalog
  ✅ host_capacity_snapshot / capacity_violation_event (capacity_*)

Phase 7 資產盤點 + 覆蓋矩陣 + 變化追蹤完整實作.
接下來可以上 Hermes AI agent 分析品質 (deprecate noisy rules, 推薦 coverage 修復).

Wire main.py lifespan asyncio.create_task()

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-04-19 17:18:34 +08:00
OG T
df71c9a37b feat(aiops): rule_stats_updater — 計算 noise_rate + true/false positive
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Review 盲點 5: alert_rule_catalog 68 筆但 noise_rate/TP/FP/last_fired_at 全 NULL

新增 rule_stats_updater_job.py (~170 行):
  每 1h UPDATE 全表 alert_rule_catalog,從 incidents + approval_records 推算:
    - last_fired_at = max(incidents.created_at WHERE alertname=rule_name)
    - true_positive_count = count incidents.status='RESOLVED' past 30d
    - false_positive_count = count approval_records.status='EXPIRED' past 30d
      (EXPIRED = 48h 無人處理,視為假警報 proxy)
    - noise_rate = fp / (tp + fp)

窗口: 30 天 (可配置)
使用單一 UPDATE + subquery,避免 N+1 (68 rule × 3 query = 204 queries → 1 query)

解鎖 E3 Hermes:
  後續 Hermes AI agent 讀 alert_rule_catalog WHERE noise_rate > 0.5
  提案 review_status='deprecated' 或 superseded_by_rule_id

Wire main.py lifespan asyncio.create_task()

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-04-19 17:05:30 +08:00
OG T
505232336b feat(aiops): coverage_evaluator — 把 coverage_snapshot 從 unknown 升為真實 status
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Review 盲點 4: asset_coverage_snapshot 546 筆全是 'unknown',沒實際意義

新增 coverage_evaluator_job.py (~270 行):
  每 1h 針對最新 asset_discovery_run 的 coverage_snapshot 做 3 維升級:
    ✅ auto_monitoring: Prometheus /api/v1/targets 看 host asset IP
       → green (有 target) / red (無 target)
    ✅ auto_alerting: alert_rule_catalog.labels 是否 match asset
       → host/namespace/layer 三種 match 策略, green/red
    ✅ auto_km_creation: knowledge_entries.body ILIKE asset.name
       → green (有 KM) / yellow (無 KM)
  evidence JSONB 記錄升級依據,供 AI 後續稽核

未實作 (留 unknown):
    ⏳ auto_rule_matching (需 alert history 統計)
    ⏳ auto_playbook / auto_remediation / auto_rule_creation (需 playbook 表)

預期效果 (下次 evaluator 跑 + coverage_snapshot UPDATE):
  - 546 筆 coverage 從 100% unknown → 30-50% green/red/yellow
  - 真正可以算 "覆蓋率 SLO" KPI (MASTER §7.1)
  - AI 可從 coverage_snapshot 看出 red asset,主動推 remediation

Wire main.py lifespan asyncio.create_task()

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-04-19 17:02:30 +08:00
OG T
4259a104f5 feat(aiops): capacity_scanner + compliance_scanner (ADR-090 Phase 7 剩 2)
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完成 ADR-090 Phase 7 第 3+4 個 service,解鎖 2 張 0 writer 表:

B3. apps/api/src/jobs/capacity_scanner_job.py (~300 行)
  - 每日 02:00 Taipei 撈 Prometheus node_exporter
  - 寫 host_capacity_snapshot (load1/5/15, cpu, iowait, mem, swap)
  - heuristic ai_verdict: cpu>80 or mem>85 → critical; >60/70 → warning
  - 超過硬閾值 → 寫 capacity_violation_event
  - 寫 aol(capacity_recommendation)

B4. apps/api/src/jobs/compliance_scanner_job.py (~270 行)
  - 每日 03:00 Taipei 遍歷 asset_inventory active assets
  - 為每個 asset 寫 7 維 compliance snapshot
  - secret_rotated: 真實檢查 (metadata.creationTimestamp > 90d = warning)
  - 其他 6 維 (ssl_cert_valid / cve_scan / backup_tested /
    audit_log_enabled / access_reviewed / encryption_at_rest) 占位 'unknown'
    + detail TODO,後續 agent 補邏輯
  - 寫 aol(coverage_recalculated) summary

main.py lifespan 同步 wire 2 個新 loop

預期解鎖 (配合 B1 asset_scanner + B2 rule_catalog_sync):
  - asset_inventory: 0 → 數百 (B1)
  - asset_discovery_run: 0 → 每小時 1 (B1)
  - asset_coverage_snapshot: 0 → assets × 7 維 (B1)
  - alert_rule_catalog: 0 → ~68 條 (B2)
  - host_capacity_snapshot: 0 → 每日 hosts (B3)
  - capacity_violation_event: 0 → 超閾值時 (B3)
  - asset_compliance_snapshot: 0 → assets × 7 維 (B4)

automation_operation_log 新增 4 個 op_type: asset_discovered / rule_created /
rule_updated / capacity_recommendation / coverage_recalculated

8 張 0 writer 表到此全數有 writer,ADR-090 Phase 7 實作完成.

Refs: ADR-090 §4.2 Phase 4, MASTER §3.5 D5 (capacity-aware)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-04-19 16:23:27 +08:00
OG T
5b9b36f30d fix(ci)+feat(aiops): cd.yaml shared network + rule_catalog_sync (ADR-090 E3)
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CI 修復 (c0f3509 第三次 fail 真因):
  c0f3509 log: 'Detected act task network: (none, will fall back to bridge)'
  → grep ACT_NET 在 CI 環境未 match → fallback bridge
  → default bridge 不支援 container name DNS → pg-test-b5 解析失敗

修復 (v3 — 主動創 shared network):
  - B5_NET=b5-test-net (idempotent docker network create)
  - ci-runner 自己 docker network connect $HOSTNAME
  - pg-test-b5 --network=$B5_NET
  - 兩邊同 user-defined network → container name DNS 正常

新增 rule_catalog_sync_job (ADR-090 § Phase 7 第 2 個 service):
  + apps/api/src/jobs/rule_catalog_sync_job.py (~230 行)
    - run_rule_catalog_sync_loop: 啟動延遲 90s,每 1h sync
    - sync_once: HTTP GET {PROMETHEUS_URL}/api/v1/rules (type=alert)
    - UPSERT alert_rule_catalog (rule_name 為 UNIQUE)
    - 只在實際 INSERT/UPDATE 發生時才寫 aol (避免 N 條 rule 污染)
  + main.py lifespan asyncio.create_task() wire

預期解鎖:
  - alert_rule_catalog: 從 0 → Prometheus active rules 數 (~68 條)
  - automation_operation_log: 新增 'rule_created' / 'rule_updated' op_type
  - E3 Hermes AI 終於有 baseline 可以提案規則修正

Refs: ADR-090 §4.2 E3, MASTER §3.3

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-04-19 16:08:34 +08:00
OG T
ddb902f1ff fix(ci+aiops): cd.yaml grep set-e bug + 新增 asset_scanner_job (ADR-090)
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CI 修復 (b636d3b 第二次 fail 真因):
  cd.yaml line 161 ACT_NET=$(docker network ls | grep -E '^GITEA-ACTIONS-...')
  act runner 用 'bash -e -o pipefail',grep 無 match 時 exit 1 → 整 step 中斷
  (前一次 e7ba8cb fail 是 PG IP 不通,b636d3b 是 grep set-e bug — 兩個不同錯誤)

修復:
  ACT_NET=$(... | (grep -E '...' || echo "") | head -1)
  把 grep 包在 subshell 並 || echo "" 確保失敗時 ACT_NET 為空字串

新增 asset_scanner_job (ADR-090 § Phase 7 第 1 個 service):
  + apps/api/src/jobs/asset_scanner_job.py (~360 行)
    - run_asset_scanner_loop: 每 1h cron,首次延遲 60s
    - scan_once: 用 K8sProvider kubectl_get pods --all-namespaces
    - UPSERT asset_inventory (asset_key 為 UNIQUE,跨 run 沿用同 asset_id)
    - 為每個 active asset 寫 7 維 asset_coverage_snapshot (預設 unknown)
    - 寫 automation_operation_log(asset_discovered)
  + main.py lifespan asyncio.create_task() wire

預期解鎖:
  - asset_inventory: 從 0 → 數百 (全 namespace pods)
  - asset_discovery_run: 每小時 1 筆
  - asset_coverage_snapshot: 每筆 asset × 7 dim
  - automation_operation_log: 新增 'asset_discovered' op_type

下一階段 (rule_catalog / capacity / compliance scanner) 待 CI 通過後分批提交.

Refs: ADR-090 §4.1, MASTER §3.4 D4, project_blindspot_governance.md

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-04-19 14:15:45 +08:00
OG T
9d6aa7ea45 feat(trust): ADR-088 Trust Score 持久化 — L4 自動放行核心
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TrustScoreManager 從記憶體升級為 PostgreSQL 持久化，
Pod 重啟後信任分數不再歸零，AI 能真正累積到 L4 自動放行門檻。

變更:
- migrations/adr088_trust_score_persistence.sql: trust_records 表
- db/models.py: TrustRecordDB ORM model
- repositories/interfaces.py: ITrustRepository Protocol
- repositories/trust_repository.py: PG upsert ON CONFLICT DO UPDATE
- services/trust_engine.py: bulk_load() 啟動 warm-up
- services/learning_service.py: _persist_trust() + 2 call sites
- main.py: 啟動時 load_all() → bulk_load()

流程: 批准 5 次 → score=5 寫入 DB → Pod 重啟 → warm-up 讀回
      → evaluate_adjusted_risk MEDIUM→LOW → 自動執行

2026-04-17 ogt + Claude Sonnet 4.6（亞太）: ADR-088

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-17 16:14:44 +08:00
OG T
588b0d745b fix(aiops): 修復 sensors=0/0 根因 — MCPToolRegistry 從未在 startup 初始化
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Details 
三個問題同時修復：

1. main.py: 補上 init_mcp_tool_registry() 呼叫
   - ADR-081 Phase 1 建立了 MCPToolRegistry 但從未在 lifespan startup 被呼叫
   - 導致 PreDecisionInvestigator sensors=0/0，evidence_summary 永遠空白
   - 空白 evidence → Diagnostician 永遠 ABSTAIN

2. signal_producer.py: str(dict) → json.dumps()
   - labels/annotations 用 Python str() 序列化，寫入 Redis 後無法反序列化

3. brain/incident_engine.py: 新增 _parse_dict_field() helper
   - 從 Redis 讀回的 labels/annotations 可能是 JSON 字串
   - isinstance(..., dict) 防禦不足，需先 json.loads()

2026-04-16 ogt + Claude Sonnet 4.6（亞太）: 飛輪感官修復

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-16 15:35:19 +08:00
OG T
62e2efda85 fix(heartbeat): 恢復 30 分鐘心跳報告到 SRE 戰情室 
2026-04-15 停用理由（forwarded_to_separate_group）有誤，
SRE 戰情室就是 SRE_GROUP_CHAT_ID，不應停用。
恢復 start_heartbeat_monitor(interval=30min)。

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-16 03:05:01 +08:00
OG T
ce1a4d286e feat(sweeper): 新增 Incident Analysis Sweeper — 自動觸發未分析 Incident AI 決策 
Gap修復:
  Signal Worker 創建 Incident 後，AI 分析只在 GET /api/v1/incidents 被呼叫時觸發
  若前端無人訪問，新 Incident 永遠沒有 AI 分析與 Telegram 通知

解法:
  新增 src/jobs/incident_analysis_sweeper.py
  每 90 秒掃描無 decision token 的 INVESTIGATING incidents
  自動背景觸發 get_or_create_decision() — Semaphore(3) 限流，每批最多 5 筆
  main.py lifespan 啟動時 asyncio.create_task() 掛載

2026-04-16 Claude Sonnet 4.6 Asia/Taipei

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-16 01:08:30 +08:00
OG T
85c4e3b434 fix(km): 修復 KM 寫入全為 unknown 的根因 (三個節點)
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Bug-A: approval_execution.py 呼叫不存在的 get_incident() → AttributeError
被 except 吞掉 → alertname/alert_category/affected_services 全用預設值
修復: 改用 get_from_working_memory() + get_from_episodic_memory() 雙路徑

Bug-B: _record_to_incident() 從 PG 還原 Incident 時漏掉
notification_type + alert_category 欄位 → km_conversion 讀到 None
修復: 加入這兩個欄位的還原

Bug-C: main.py working_memory_warmup 重建 Incident 時同樣遺漏
notification_type + alert_category
修復: 同步補上

2026-04-15 Claude Sonnet 4.6 Asia/Taipei
 2026-04-15 22:28:48 +08:00
OG T
256a24e843 fix(deps+startup): drain3/statsmodels 補入 pyproject + warmup skip 舊資料
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- pyproject.toml: 補 drain3>=0.9.11, statsmodels>=0.14.0, sse-starlette
  → Docker build 從 pyproject 裝，requirements.txt 的套件之前沒裝進 image
  → P4 LogAnomalyDetector 400次 drain3_not_available 告警排除
- main.py: working_memory warmup per-record try/except
  → 舊 incident 含非法 source (node-exporter) → 跳過，不 crash 整個 warmup

2026-04-15 ogt + Claude Sonnet 4.6（亞太）

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-15 22:08:13 +08:00
OG T
76558a3cd9 feat(AIOps): 全開 P1-P6 feature flags + Nemotron + offline replay loop
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- configmap: 啟用 AIOPS_P1~P6 全部總開關與子開關
- configmap: ENABLE_NEMOTRON_COLLABORATION=true（回歸 120s timeout）
- feature_flags.py: 補齊 AIOPS_P6_GOVERNANCE_ENABLED 缺失欄位
- main.py: 掛載 run_offline_replay_loop（ADR-087 Phase 6）

2026-04-15 ogt + Claude Sonnet 4.6（亞太）

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-15 21:59:51 +08:00
OG T
4718c7667c feat(Phase 3): Evolver loop 排程 + 手動觸發端點 — 合併演練閘道完工
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- playbook_evolver.py: 新增 run_evolver_loop()（24h 無限迴圈）
- main.py: 掛載 run_evolver_loop asyncio.create_task
- api/v1/learning.py: POST /api/v1/learning/evolver/run（Phase 3 exit #6 演練端點）
- MASTER §8: 補錄 66c4eda AgentSession + 本次 Evolver 完整退出條件清單

ADR-083 Phase 3 — 2026-04-15 ogt + Claude Sonnet 4.6（亞太）

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-15 21:07:56 +08:00
OG T
fb1bbd0e20 feat(Phase 3): 學習閉環補完 — Root cause 3 + 診斷 feedback + 知識遺忘 + Fine-tune 管線
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- approval_execution.py: _run_post_execution_verify() 補接 record_verification_result()
  Root cause 3 終結：環境驗證結果（success/degraded/failed/timeout）不再孤立
- learning_service.py: 新增 record_verification_result() — 驗證結果 → Redis + Playbook EWMA
- learning_service.py: 新增 record_diagnosis_outcome() — 誤診負向訊號回寫（L3×D4）
- jobs/knowledge_decay_job.py: 新建 30d 知識遺忘 Job（未引用 draft/review → archived）
- services/finetune_exporter.py: 新建每週 JSONL 匯出（EvidenceSnapshot × AgentSession）
- main.py: 掛載 knowledge_decay_loop（24h）+ finetune_export_loop（7d）
- MASTER §8: Phase 3 核心改造項全部落地記錄

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-15 20:57:43 +08:00
OG T
05b774386b feat(Phase 6): AI SLO REST API — GET /api/v1/ai/slo 收官
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ADR-087 Phase 6 自我治理閉環最後一塊拼圖：

1. api/v1/ai_slo.py — GET /api/v1/ai/slo
   - Service 層快取優先（TTL 5min，AiSloCalculator.get_cached_report）
   - force_refresh=true 強制重算（AiSloCalculator.run）
   - Router 層零 Redis 直接存取（leWOOOgo 積木化鐵律）

2. main.py — 路由掛載 ai_slo_v1.router（prefix=/api/v1）

3. MASTER §8 Living Changelog 追加：
   - P0 告警靜默 3 根因 RCA 完整紀錄
   - P2 飛輪斷鏈修復摘要
   - Phase 6 全元件完成清單

Phase 6 退出條件 5/6 已達（生產驗證待 image 上線）

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-15 19:57:26 +08:00
OG T
3ce5025ca7 fix(alerts): 3 個飛輪沉默節點 — DIAGNOSE routing + 心跳停用 + 通知格式
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1. openclaw.py: DIAGNOSE 移除 require_local=True
   - v4.3 已決定 NIM 為主力且無隱私問題
   - require_local=True 導致所有 provider 被 privacy_skip → 告警永遠失敗
   - 修後 DIAGNOSE 走 _full_fallback_chain（NIM → Gemini → Claude）

2. ai_router.py: require_local 失敗通知改為 ADR-075 TYPE-1 格式
   - 禁止純文字 raw notification（統帥鐵律：所有訊息必須符合格式模板）
   - 改用 ├─ / └─ 樹狀結構 + 語義化標籤

3. main.py: 停用 Telegram 心跳監控
   - 心跳已轉發到另一個 Telegram 群組，不需在此頻道重複發送

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-15 19:49:43 +08:00
OG T
f045506abd fix(flywheel): P2 Approval 逾期不結案 → KM 學習鏈斷鏈修復
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問題根因：
  PENDING approval 無人處置超過 48h 後應自動 EXPIRED，
  但 get_pending_approvals() 只在用戶開 UI 時觸發，
  若無人開 UI → Incident 永遠 PENDING → KM 永遠不寫入
  → Phase 6 SLO human_override_rate 低估，EWMA 缺少負向樣本。

修復：
  1. anomaly_counter.py: 新增 "timeout_ignored" disposition 類型，
     與 auto_repair / human_approved / manual_resolved 區分
  2. incident_service.py: resolve_incident() 新增 resolution_type 參數，
     resolution_type="timeout" 時記錄 "timeout_ignored" 而非 "manual_resolved"
  3. jobs/approval_timeout_resolver.py (新): 每小時掃描逾期 PENDING approval，
     批次標記 EXPIRED，對每筆有 incident_id 的記錄呼叫 resolve_incident("timeout")
  4. main.py: startup 掛載 approval_timeout_resolver 排程（interval=3600s）

效果：
  - 告警無人處置 48h → Incident 自動結案 → KM 寫入 → EWMA 取得樣本
  - disposition="timeout_ignored" 讓 SLO 計算正確區分「AI 建議被忽略」
  - 飛輪學習鏈對「無人處置告警」閉環

2026-04-15 ogt + Claude Sonnet 4.6（亞太）

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-15 19:21:21 +08:00
OG T
14a02263ae feat(Phase 4): 主動巡檢 + 趨勢預測 + 8D 感官升級 全部完成
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## Phase 4 完整交付（ADR-084）

### 新增服務
- trend_predictor.py: numpy 線性回歸，4h 閾值突破預警，R² 信心評分
- proactive_inspector.py: 每 5 分鐘主動巡檢協調器
  - DynamicBaselineService（3σ 偏離）
  - LogAnomalyDetector（新 Drain3 pattern）
  - TrendPredictor（斜率外推 4h 預測）
  - Shadow Mode + 30 分鐘去重 + Holt-Winters 背景重訓

### 8D 感官升級（EvidenceSnapshot Phase 4 增強）
- PreDecisionInvestigator._collect_phase4_anomalies(): 決策前讀取
  ProactiveInspector 最近巡檢快取 + LogAnomalyDetector 新 pattern
- EvidenceSnapshot.anomaly_context: 新欄位，Phase 4 動態異常上下文
- DiagnosticianAgent._build_prompt(): prompt 包含 anomaly_context，
  LLM RCA 可參考動態基線偏差與趨勢預警

### 資料庫遷移
- incident_evidence: ADD COLUMN anomaly_context JSONB（冪等）

### main.py
- 啟動 run_proactive_inspector_loop() asyncio task

2026-04-15 ogt + Claude Sonnet 4.6（亞太）: Phase 4 全部完成

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-15 15:47:05 +08:00
OG T
bf45b80bd2 feat(Phase 3.5 + Phase 4): AI 學習成果持久化到 PostgreSQL — 修正「AI 失憶」架構缺陷
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ADR-085: AI 學習成果不可存在 Cache

架構鐵律確立：
- PostgreSQL = System of Record（AI 的永久記憶）
- Redis = Warm Cache（加速讀取，TTL 到期從 PG 復原）

核心變更：
1. models.py: 新增 PlaybookRecord / DynamicBaselineRecord / LogClusterRecord ORM
2. base.py: ALTER TABLE playbooks 補加 trust_score / requires_approval_level 等欄位
3. playbook_repository.py: 完整雙寫實作（PG upsert + Redis cache）
4. dynamic_baseline_service.py: Holt-Winters 訓練結果寫入 PG，Redis 只作 24h warm cache
5. log_anomaly_detector.py: Drain3 cluster template 寫入 PG（UPSERT on cluster_id）
6. main.py: 啟動時執行 backfill_redis_to_pg()（Redis → PG 冪等補救）

修正的問題：
- Playbook 7天 Redis TTL 到期 → AI 失去所有修復知識
- trust_score EWMA 隨 Redis TTL 歸零 → AI 重新回到初始信任度 0.3
- Holt-Winters 基線 24h TTL → AI 每天重新學習「正常」的定義
- Drain3 cluster 沒有持久化 → AI 把已知 log pattern 反覆當新 pattern

Phase 4 新服務（requirements.txt 已加入 statsmodels + drain3 + numpy）

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-15 15:34:04 +08:00
OG T
db9e304a14 feat(adr-080): Phase 0 防護欄建立 — AI 自主化飛輪啟動 
- docs/superpowers/specs/2026-04-15-MASTER-ai-autonomous-flywheel-v2.md
  (1456 行，§0-§8 全填完：42-cell 戰術矩陣、7 Phase 計畫、7 ADR 摘要、
   15 KPI、21 Feature Flags、10 風險場景)

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

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

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

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

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

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

Gate 0 Pass — 21/21 tests green

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-15 12:44:53 +08:00
OG T
684d6cfb43 feat(adr-076): 戰術 B 四大 Task 全部完成 — 告警聚合+重試+自動報告
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Details 
Task 2: AlertGroupingService — Redis 5分鐘滑動視窗，防告警風暴
- apps/api/src/services/alert_grouping_service.py (新增)
- webhooks.py 整合：指紋生成後/LLM前短路子告警
- Threshold=3，Graceful Degradation，16 tests

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

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

測試: 600 → 675 通過 (+75)，0 failed

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
 2026-04-14 14:39:14 +08:00
OG T
5aa0244c9a fix(aiops): ADR-072 P1 Bug 修復 — BUG-004/005/006
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BUG-004 KM vectorization 108/112 = False:
  km_conversion_service: KM entry 建立後（embedding 已背景觸發），
  補寫 incidents.vectorized = True，飛輪閉環（ADR-068）學習指標正常

BUG-005 15 ready decisions 無人審核:
  decision_manager: 新增 resend_stale_ready_tokens()，
  掃描 Redis decision:* key，找出 state=ready 且 dedup_key 過期的 token，
  重新推送 Telegram 審核卡片
  main.py: lifespan startup 排程 resend_stale_ready_tokens()（asyncio.create_task 非阻塞）

BUG-006 outcome/verification_result 全 null:
  _push_auto_repair_result: Telegram 推送前先寫入
  incidents.outcome + incidents.verification_result 到 DB

2026-04-11 Claude Sonnet 4.6 Asia/Taipei

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-11 20:24:41 +08:00
OG T
f33d514391 fix(auto_repair): playbook_seed_service — 從 alert_rules.yaml 初始化 APPROVED Playbook
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根本原因: playbooks 表空 → NO_MATCH → 永遠走審批，從不自動修復
修復: startup 時從 alert_rules.yaml seed APPROVED Playbook（冪等）
確保自動修復鏈路有規則可用

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-10 21:52:38 +08:00
OG T
527ce9faaf fix(notifications): 新增後端 /api/v1/notifications/channels 路由
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前端 /notifications 頁面呼叫此 endpoint 但後端不存在 (404)
新增 notifications.py：回傳 4 個真實頻道狀態
- Telegram OpenClaw Bot (BOT_TOKEN 設定檢查)
- Telegram Nemotron Bot (BOT_TOKEN 設定檢查)
- SSE Web Stream (永遠 active)
- Redis Stream awoooi:signals (ping 檢查)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-10 16:17:37 +08:00
OG T
670cd5df86 refactor(flywheel): 首席架構師審查修正 C1/C2/I1/I2/I3/I4/M1
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C1 — Repository 層修正 (積木化鐵律):
  新增 PlaybookEmbeddingRepository (pgvector UPSERT)
  playbook_embedding_service 改透過 Repository 存取 DB，不再直接 db.execute(text(...))

C2 — Router 層業務邏輯移入 Service 層:
  create_incident_for_approval + extract_affected_services (去掉底線前綴) 移入 incident_service.py
  webhooks.py 改從 incident_service import，自身不再含業務邏輯

I1 — _infra_jobs 提升為 module-level frozenset (_INFRA_JOB_NAMES)，避免每次呼叫重建

I2 — _persist_embeddings_to_db 補齊 PlaybookRAGService / list[Playbook] 型別標注

I3 — embedding 格式顯式化: "[" + ",".join(str(float(x)) for x in embedding) + "]"
  防止 pgvector 因格式差異靜默解析失敗

I4 — import asyncio 移至 main.py 頂層，移除 try 區塊內重複 import

M1 — similarity.py: 移除死代碼 `if union > 0 else 0.0`
  union 在兩個集合都非空時不可能為 0

2026-04-10 Asia/Taipei — Claude Sonnet 4.6
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-10 11:35:10 +08:00
OG T
c6edfb5614 fix(flywheel): 四階段系統性修復 AUTO_REPAIR NO_MATCH 斷層
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Phase 1 — affected_services 污染根治
  - webhooks.py: _extract_affected_services() 從 labels 精準萃取服務名
    (component > job > pod deployment name > clean target_resource > [])
  - create_incident_for_approval: alert_labels 完整保留進 Signal
  - alert_name 從 alertname 取，不再用 "custom"

Phase 2 — Playbook alertname 變體擴充
  - alert_rules.yaml: 5 條規則新增 HostHighCpuLoad、KubePodCrashLooping 等變體
  - scripts/update_playbook_alert_variants.py: Redis index 已執行更新 ✅

Phase 3 — Jaccard 通用型 Playbook 豁免
  - similarity.py: affected_services=[] → 1.0 豁免（基礎設施 Playbook 不針對特定服務）
  - severity_range=[] → 1.0 豁免（適用所有嚴重度）

Phase 4 — Playbook Embedding 持久化（冷啟動修復）
  - migrations/flywheel_playbook_embeddings.sql: pgvector 持久化表
  - services/playbook_embedding_service.py: 啟動時重建 Redis 向量快取 + 同步 DB
  - main.py: lifespan 啟動時 asyncio.create_task 非阻塞執行

2026-04-10 Asia/Taipei — Claude Sonnet 4.6
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-10 11:04:56 +08:00
OG T
cc8cabebf9 refactor(rag): 架構審查修正 — leWOOOgo 合規 + 去重 + httpx 關機
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- C2: _run_index() 業務邏輯移入 KnowledgeRAGService.index_all_sources()
      Router 層只做 background_tasks.add_task(_run_index) 轉發
- C3: glob("*.md") → rglob("*.md") — 掃描巢狀子目錄
- C4: docstring 修正 Ollama 188 → 111
- I2: index_document() 先刪舊版本 (_delete_by_source_id) 避免重複累積
- I3: debug endpoint 改用 settings.OLLAMA_URL 取代硬碼 IP
- I4: main.py shutdown 加入 get_knowledge_rag_service().close()

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-10 10:39:14 +08:00
OG T
0ee5d532ba feat(rag): 新增 RAG Router + 掛載到 main.py (Phase 33 ADR-067)
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- rag.py: POST /index, POST /query, GET /stats 三端點
- stats 委派給 KnowledgeRAGService.get_stats()（leWOOOgo 合規）
- main.py: include_router rag_v1.router

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-10 07:34:06 +08:00
OG T
5ea6c3fb91 feat: alert_operation_log 查詢 API + 前端頁面 (Sprint 5.2)
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後端:
- 新增 list_recent() 分頁方法 (alert_operation_log_repository)
- 新增 /api/v1/alert-operation-logs GET + /stats 端點
- main.py 註冊 alert_operation_logs_v1.router

前端:
- /alert-operation-logs 頁面，18 種 event_type 顏色標記
- 分頁、event_type 篩選、incident_id 篩選
- 24h 統計卡片 (總數/護欄攔截/自動修復/已解決)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-09 10:57:40 +08:00
OG T
59e7879dfb feat(webhook): Task 5 — tests GitHub→Gitea (ADR-059)
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- test_gitea_webhook.py: 10 tests, X-Gitea-* headers
- conftest.py: GITEA_WEBHOOK_SECRET / GITEA_ALLOWED_REPOS

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-05 14:45:32 +08:00
OG T
7a6fa6359e feat(api): Sentry init 加入統一 layer/component 標籤 
對齊 Prometheus 告警標籤規範 (layer/component/team)
讓 Sentry 事件與 auto_repair 路由決策保持一致

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-05 11:10:40 +08:00
OG T
f4f454fd98 feat(api): 重開機後自動 warm-up Redis Working Memory from PostgreSQL 
- main.py lifespan: 啟動時從 DB restore INVESTIGATING/MITIGATING incidents
- scripts/reboot-recovery: 188 + 110 自動化腳本 + systemd services
- scripts/reboot-recovery: aiops-network 自動建立 (ClawBot 依賴)
- docs/runbooks/REBOOT-RECOVERY-SOP.md: 完整改寫，含自動化腳本說明

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

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-05 00:39:20 +08:00
OG T
3455044457 feat(phase25): Nemotron 主動防禦三方向 P0+P1+P2 完整實作
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P0 - DIAGNOSE Privacy-First Routing:
- ai_router.py: _local_fallback_chain [NEMOTRON→OLLAMA→REJECT]
- DIAGNOSE 意圖 override 改為 NEMOTRON (原 OLLAMA)
- DIAGNOSE fallback 使用 local-only 鏈，不觸碰雲端
- 全部失敗時 REJECT + Telegram 通知
- config.py: NEMOTRON_DIAGNOSE_TIMEOUT_SECONDS=30, OLLAMA_DIAGNOSE_TIMEOUT_SECONDS=60
- nemotron.py: 根據 context[task_type] 選擇 timeout

P1 - Knowledge Auto-Harvesting:
- models/knowledge.py: EntryType.AUTO_RUNBOOK + ANTI_PATTERN + symptoms_hash
- EntryStatus.PUBLISHED (ANTI_PATTERN 直接發布，無需審核)
- models/playbook.py: SymptomPattern.compute_hash() (16字元確定性 hash)
- services/runbook_generator.py: NemotronRunbookGenerator (v1.1)
  - generate_runbook() → AUTO_RUNBOOK (DRAFT) + Telegram 審核 card
  - generate_anti_pattern() → ANTI_PATTERN (PUBLISHED) + Telegram 通知
  - 使用 nvidia.chat() (正確介面)，Nemotron 超時時 Minimal fallback
- knowledge_service.py: check_anti_pattern(symptoms_hash, days=7)
- db/models.py: symptoms_hash VARCHAR(16) + ix_knowledge_symptoms_hash
- repositories/knowledge_repository.py: create() 支援 symptoms_hash + status
- auto_repair_service.py: anti_pattern_gate 在 decide() + runbook hook 在 execute()
- migrations/phase8_symptoms_hash.sql: ALTER TABLE + partial index + PUBLISHED constraint

P2 - Config Drift Detection:
- models/drift.py: DriftItem/DriftReport/DriftLevel/DriftIntent/DriftStatus
- services/drift_detector.py: GitStateReader + K8sStateReader + DriftDetector
- services/drift_analyzer.py: 白名單過濾 + DriftLevel 分級
- services/drift_interpreter.py: NemotronDriftInterpreter（意圖分析，不生成修復指令）
- services/drift_remediator.py: rollback(kubectl apply) + adopt(git push gitea)
- api/v1/drift.py: POST /scan, GET /reports, POST /rollback, POST /adopt
- migrations/phase9_drift_reports.sql: drift_reports 表
- k8s/drift-cronjob.yaml: 每小時自動掃描 CronJob

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-04 12:35:05 +08:00
OG T
9cf9e851e7 fix(api): 修正 Nginx 反向代理 307 redirect http:// Location 問題
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加入 ProxyHeadersMiddleware，讓 FastAPI 信任 X-Forwarded-Proto header。
解決知識庫頁面無法載入內容的問題 (HTTPS→HTTP mixed content block)。

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-03 12:48:36 +08:00
OG T
ce11fcdc3a feat(monitoring): 監控工具區塊 — Grafana/Prometheus/SigNoz/Gitea 狀態 
- 新增 GET /api/v1/monitoring/status，asyncio.gather 並行探測四工具
- 前端 MonitoringTools 元件，60s 輪詢顯示狀態/版本/統計
- 新增 monitoringTools i18n key

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
 2026-04-03 00:27:47 +08:00
OG T
d8be78b135 feat(api): Knowledge Base Phase 1 後端四層架構
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Details 
- models/knowledge.py: Pydantic Schema (EntryType/Source/Status/CRUD)
- db/models.py: KnowledgeEntryRecord ORM (PostgreSQL)
- repositories/interfaces.py: IKnowledgeRepository Protocol
- repositories/knowledge_repository.py: PostgreSQL CRUD 實作
- services/knowledge_service.py: 業務邏輯 (get_db_context 內部管理 session)
- api/v1/knowledge.py: REST Router (get_knowledge_service，無直接 DB 存取)
- main.py: 掛載 Knowledge Base Router
- k8s/jobs/migrate-knowledge-entries.yaml: DB Migration Job

API 端點: GET/POST / | GET/PATCH/DELETE /{id} | POST /{id}/approve
         GET /search | GET /categories

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-02 00:55:56 +08:00
OG T
d2f4708663 feat(cicd): #46c OTEL Tracing 遷移到 Gitea workflows
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- CD: awoooi-cd service (192.168.0.188:24318)
- E2E: awoooi-e2e service
- 環境變數: OTEL_EXPORTER_OTLP_ENDPOINT, OTEL_SERVICE_NAME, OTEL_RESOURCE_ATTRIBUTES

原 GitHub workflows (cd7d63e) → Gitea workflows (ADR-039)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-31 11:39:42 +08:00
OG T
da6d6ed006 chore: trigger cd pipeline directly
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2026-03-29 22:38:59 +08:00
OG T
50c055b547 feat(api): Phase D-G P0 修正 - Learning Repository 積木化 
新增:
- ILearningRepository Protocol (interfaces.py)
- LearningRepository (Redis 持久化層)
- Learning API 端點 (/api/v1/learning/*)
- LearningService.get_recommended_fix() 方法
- LearningService.get_learning_summary() 方法

修正:
- Service 不直接依賴 Redis Client (透過 Repository)
- 符合 leWOOOgo 積木化原則
- 首席架構師審查: 74/100 → 92/100

更新:
- ADR-030: 新增 Phase D-G P0 修正章節
- Skill 02: v1.9 → v2.0
- Runner 修復: 序列建構解決 _runner_file_commands 衝突

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-29 11:03:51 +08:00
OG T
59c9eff83a fix(api): 修復 10 個 Lint 錯誤 (imports 排序 + unused imports + set comprehension) 
- F401: 移除未使用的 imports (TerminalSessionStatus, AutoApproveDecision, TerminalSession)
- I001: 修正 import blocks 排序
- C401: set(generator) → {set comprehension}

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-28 18:51:52 +08:00
OG T
d206460751 feat(security): Phase 20 CSRF 防護實作 
Phase 19 首席架構師審查指出: 核鑰 UX 安全性缺 CSRF 防護

後端:
- 新增 src/core/csrf.py (Double Submit Cookie 模式)
- 新增 src/api/v1/csrf.py (GET /api/v1/csrf/token)
- 新增 src/models/csrf.py (CSRFTokenResponse)
- 修改 approvals.py sign/reject/bulk 端點加入 CSRFToken 驗證

前端:
- 新增 hooks/useCSRF.ts (React Hook)
- 修改 approval.store.ts 整合 CSRF Token 參數

安全特性:
- 256-bit Token (secrets.token_hex)
- 時序安全比較 (secrets.compare_digest)
- SameSite=Strict Cookie
- 1 小時 Token 有效期

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-28 18:31:58 +08:00
OG T
e5ded3b3f2 feat(phase19): OmniTerminal + GenUI + Hybrid SSE 架構實作 (Wave 0-2) 
Phase 19 OmniTerminal MVP 完成:
- Wave 0: Backend (Hybrid SSE POST→GET 架構)
- Wave 1: Frontend (OmniTerminal 狀態機 + GenUI Registry)
- Wave 2: UI 組件 (8 個 GenUI 動態卡片)

ADR 文檔:
- ADR-031: OmniTerminal SSE 架構
- ADR-032: GenUI 動態渲染框架
- ADR-033: K3s HA 架構設計

GenUI 組件:
- GenUIRenderer, K8sPodStatusCard, SentryErrorCard
- MetricsSummaryCard, IncidentTimelineCard
- TraceWaterfallCard, ApprovalCard, NuclearKeyButton

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-28 00:17:26 +08:00
OG T
7456492482 fix(api): 註冊 Sentry Webhook Router (Phase 10.2.1) 
- 新增 sentry_webhook_v1 import
- include_router 註冊 /api/v1/webhooks/sentry/* 路由
- 修復 Sentry Alert Rule → AWOOOI 連線

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-27 16:13:04 +08:00
OG T
30153496d1 fix(api): 修復全部 lint 錯誤 (ruff --fix) 
- Import sorting (I001)
- Unused imports (F401)
- f-string without placeholders (F541)
- Loop variable unused (B007)
- zip() strict parameter (B905)
- Exception chaining (B904)
- collections.abc imports (UP035)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-26 16:06:20 +08:00
OG T
698687f092 feat(api): #7 Playbook 萃取功能 (Phase 7.1-7.4) 
實作內容:
- models/playbook.py: Playbook 資料模型 + Request/Response
- repositories/playbook_repository.py: Redis 雙層儲存
- repositories/interfaces.py: IPlaybookRepository Protocol
- services/playbook_service.py: 業務邏輯 (萃取/推薦/核准)
- api/v1/playbooks.py: REST API 端點

API 端點:
- POST /playbooks/extract/{incident_id} - 從成功案例萃取
- POST /playbooks/recommend - 症狀匹配推薦
- POST /playbooks/{id}/approve - 人工核准
- GET/PATCH/DELETE /playbooks/{id} - CRUD

遵循 leWOOOgo 積木化: Router → Service → Repository

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-26 10:54:13 +08:00
OG T
b6cff31653 feat(api): Phase 15.3 Deep Linking 三系統互連 
實現 Sentry ↔ SignOz ↔ Langfuse 零斷鏈觀測:

新增 deep_linking.py:
- SignOz Trace URL 生成器
- Langfuse Trace URL 生成器
- Sentry Issue URL 生成器
- get_all_links() 統一取得所有連結

整合點:
- main.py: Sentry before_send 注入 otel_trace_id + signoz_trace_url
- langfuse_client.py: 自動注入 OTEL trace_id 到 metadata
- openclaw.py: SignOz span 記錄 langfuse.trace_id 反向連結

架構圖:
┌─────────┐ trace_id ┌─────────┐ trace_id ┌──────────┐
│ Sentry  │◄────────►│ SignOz  │◄────────►│ Langfuse │
│ Errors  │          │ Traces  │          │ LLMOps   │
└─────────┘          └─────────┘          └──────────┘

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-26 00:48:28 +08:00
OG T
643946e60c refactor(api): ADR-015 MCP 模組化架構重構 
## 重構內容

符合 leWOOOgo 積木化原則:
- 新增 interfaces.py: MCPToolProvider ABC 定義
- 新增 registry.py: Provider 註冊中心 (DI 模式)
- 新增 providers/: K8s, SignOz, Database 具體實作
- 重構 mcp_bridge.py: 透過 ProviderRegistry 委派執行

## 修復 Code Review 問題

- 🔴 移除 _execute_stdio logging 敏感 parameters
- 🔴 修復 conversational-view.tsx i18n 硬編碼

## 新增檔案

- apps/api/src/plugins/mcp/interfaces.py
- apps/api/src/plugins/mcp/registry.py
- apps/api/src/plugins/mcp/providers/__init__.py
- apps/api/src/plugins/mcp/providers/k8s_provider.py
- apps/api/src/plugins/mcp/providers/signoz_provider.py
- apps/api/src/plugins/mcp/providers/database_provider.py
- docs/adr/ADR-015-mcp-modular-architecture.md
- .dependency-cruiser.cjs (Phase 14.2 準備)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-25 14:31:32 +08:00
OG T
75c991dbee fix(api): Sort imports to pass ruff I001 check 
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-24 16:02:51 +08:00
OG T
9bff46a1b0 feat: integrate Sentry + fix CI/CD issues 
Sentry Integration (補強 SignOz):
- Add @sentry/nextjs for frontend error tracking + session replay
- Add sentry-sdk[fastapi] for backend error tracking
- Create sentry.client/server/edge.config.ts
- Integrate with next.config.js + instrumentation.ts
- Add Sentry exception capture in FastAPI error handler
- Create deployment scripts for Self-Hosted @ 192.168.0.110

CI/CD Fixes:
- Fix F821 Undefined name 'Field' in incidents.py
- Add NEXT_PUBLIC_API_URL env var to CI build step
- Add build-arg to Docker build verification

E2E Test Improvements:
- Fix strict mode violations in dashboard-acceptance tests
- Add timeout increase for Phase 4 demo tests
- Make tests more resilient to UI variations

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-24 15:19:52 +08:00