feat(auto-rate): rule_engine 路徑開啟自動執行,預計 42% → 70%+
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修法 3(debugger 建議):CS2 is_rule_based=True + kubectl 有值 + 非 CRITICAL/DESTRUCTIVE → 直接 auto-execute,不建 PENDING record 安全防線(5 層): - CRITICAL risk → 絕對不自動執行 - _DESTRUCTIVE_PATTERNS 命中 → 絕對不自動執行 - NO_ACTION → 不執行 - kubectl 空字串 → 不執行 - 任何例外 → catch + 降級到 PENDING,不 crash 15 tests 驗收(1487 passed) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -1334,6 +1334,62 @@ async def _process_new_alert_background(
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except Exception as _shadow_err_cs2:
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logger.warning("shadow_auto_approve_failed", error=str(_shadow_err_cs2))
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# 2026-04-27 ogt + Claude Sonnet 4.6: CS2 規則引擎自動執行
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# 設計:is_rule_based=True 確定性高,滿足條件直接執行,不等人工審核
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# 安全防線:CRITICAL / destructive patterns / NO_ACTION / 空 kubectl → 全部降級 PENDING
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try:
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from src.services.auto_approve import _DESTRUCTIVE_PATTERNS
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from src.models.approval import ApprovalRequest, ApprovalStatus
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from src.services.approval_execution import ApprovalExecutionService
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_destructive_set = set(p.lower() for p in _DESTRUCTIVE_PATTERNS)
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_can_auto = (
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bool(rule_kubectl)
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and rule_risk != RiskLevel.CRITICAL
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and not any(p in rule_kubectl.lower() for p in _destructive_set)
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and "NO_ACTION" not in rule_action
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)
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if _can_auto:
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_auto_approval = ApprovalRequest(
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incident_id=None, # 尚未建立,稍後 update_incident_id 補上
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action=rule_action,
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description=approval_create.description,
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requested_by="auto_approve_rule_engine",
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required_signatures=0,
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status=ApprovalStatus.APPROVED,
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risk_level=rule_risk.value,
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matched_playbook_id=_approval_metadata_cs2.get("playbook_id"),
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)
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# 使用 DB 中剛建立的 approval.id 讓 executor 可回寫
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_auto_approval.id = approval.id
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_cs2_executor = ApprovalExecutionService()
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_cs2_exec_success = await _cs2_executor.execute_approved_action(_auto_approval)
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# 更新 DB approval 執行狀態
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try:
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await service.update_execution_status(approval.id, _cs2_exec_success)
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except Exception as _upd_err:
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logger.warning(
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"cs2_auto_execute_status_update_failed",
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approval_id=str(approval.id),
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error=str(_upd_err),
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)
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logger.info(
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"rule_engine_auto_executed",
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approval_id=str(approval.id),
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rule_id=rule_response.get("rule_id", "unknown"),
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kubectl=rule_kubectl,
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exec_success=_cs2_exec_success,
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)
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except Exception as _auto_err:
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logger.warning(
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"cs2_auto_execute_failed_degraded_to_pending",
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approval_id=str(approval.id),
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error=str(_auto_err),
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)
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incident_id = await create_incident_for_approval(
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approval_id=str(approval.id),
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risk_level=rule_risk.value,
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166
apps/api/tests/test_rule_engine_auto_execute.py
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166
apps/api/tests/test_rule_engine_auto_execute.py
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@@ -0,0 +1,166 @@
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"""
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CS2 規則引擎自動執行條件邏輯測試
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==================================
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測試範圍:webhooks.py CS2 路徑的 _can_auto 條件判斷邏輯
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設計原則:
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- 不測試 DB/K8s 端點(屬 integration test 範疇)
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- 直接測試 _can_auto 的五個安全條件是否正確
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- 從 auto_approve 導入真實的 _DESTRUCTIVE_PATTERNS(不 mock)
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安全防線驗證:
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1. rule_kubectl 空字串 → False
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2. CRITICAL risk → False
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3. DESTRUCTIVE_PATTERNS 命中 → False
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4. NO_ACTION 在 rule_action → False
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5. 全條件滿足 → True
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建立:2026-04-27 ogt + Claude Sonnet 4.6 (台北時區)
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"""
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from src.models.approval import RiskLevel
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from src.services.auto_approve import _DESTRUCTIVE_PATTERNS
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def _evaluate_can_auto(
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rule_kubectl: str,
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rule_risk: RiskLevel,
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rule_action: str,
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) -> bool:
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"""
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複製 webhooks.py CS2 路徑的 _can_auto 邏輯,用於單元測試。
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任何修改 webhooks.py 邏輯的人,必須同步更新此函數。
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"""
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_destructive_set = set(p.lower() for p in _DESTRUCTIVE_PATTERNS)
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return (
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bool(rule_kubectl)
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and rule_risk != RiskLevel.CRITICAL
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and not any(p in rule_kubectl.lower() for p in _destructive_set)
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and "NO_ACTION" not in rule_action
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)
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class TestCS2CanAutoConditions:
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"""驗證 CS2 _can_auto 五個安全防線"""
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# ── 正向:全條件滿足 ─────────────────────────────────────────────────
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def test_all_conditions_met_returns_true(self):
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"""kubectl 非空 + medium risk + 無破壞性 + 非 NO_ACTION → True"""
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assert _evaluate_can_auto(
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rule_kubectl="kubectl rollout restart deployment/api -n prod",
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rule_risk=RiskLevel.MEDIUM,
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rule_action="重啟 API Deployment | kubectl rollout restart deployment/api -n prod",
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) is True
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def test_low_risk_returns_true(self):
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assert _evaluate_can_auto(
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rule_kubectl="kubectl rollout restart deployment/worker -n prod",
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rule_risk=RiskLevel.LOW,
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rule_action="重啟 Worker | kubectl rollout restart deployment/worker -n prod",
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) is True
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# ── 防線 1:kubectl 空字串 ─────────────────────────────────────────────
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def test_empty_kubectl_returns_false(self):
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assert _evaluate_can_auto(
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rule_kubectl="",
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rule_risk=RiskLevel.LOW,
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rule_action="NO_ACTION - 主機記憶體觀察",
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) is False
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def test_whitespace_only_kubectl_returns_false(self):
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# webhooks.py line 1265: rule_kubectl = str(...).strip()
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# 因此 whitespace-only 在到達 _can_auto 前已被 strip 為空字串
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# 此測試驗證調用方的前置處理行為
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assert _evaluate_can_auto(
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rule_kubectl="", # strip() 後的結果
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rule_risk=RiskLevel.LOW,
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rule_action="重啟 | 某指令",
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) is False
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# ── 防線 2:CRITICAL risk ─────────────────────────────────────────────
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def test_critical_risk_returns_false(self):
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assert _evaluate_can_auto(
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rule_kubectl="kubectl rollout restart deployment/db -n prod",
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rule_risk=RiskLevel.CRITICAL,
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rule_action="重啟 DB | kubectl rollout restart deployment/db -n prod",
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) is False
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# ── 防線 3:DESTRUCTIVE_PATTERNS ────────────────────────────────────
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def test_delete_pod_returns_false(self):
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assert _evaluate_can_auto(
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rule_kubectl="kubectl delete pod api-xxx-yyy -n prod",
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rule_risk=RiskLevel.LOW,
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rule_action="刪除 Pod | kubectl delete pod api-xxx-yyy -n prod",
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) is False
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def test_delete_pods_returns_false(self):
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assert _evaluate_can_auto(
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rule_kubectl="kubectl delete pods --all -n prod",
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rule_risk=RiskLevel.LOW,
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rule_action="刪除所有 Pod | kubectl delete pods --all -n prod",
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) is False
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def test_scale_to_zero_returns_false(self):
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assert _evaluate_can_auto(
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rule_kubectl="kubectl scale deployment/api --replicas=0 -n prod",
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rule_risk=RiskLevel.LOW,
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rule_action="縮容 | kubectl scale deployment/api --replicas=0",
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) is False
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def test_kubectl_drain_returns_false(self):
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assert _evaluate_can_auto(
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rule_kubectl="kubectl drain node-1 --ignore-daemonsets",
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rule_risk=RiskLevel.MEDIUM,
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rule_action="驅逐節點 | kubectl drain node-1",
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) is False
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def test_rollout_undo_returns_false(self):
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assert _evaluate_can_auto(
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rule_kubectl="kubectl rollout undo deployment/api -n prod",
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rule_risk=RiskLevel.MEDIUM,
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rule_action="回滾 | kubectl rollout undo deployment/api",
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) is False
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def test_destructive_pattern_case_insensitive(self):
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"""大寫 DELETE POD 也必須攔截"""
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assert _evaluate_can_auto(
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rule_kubectl="kubectl DELETE POD api-xxx -n prod",
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rule_risk=RiskLevel.LOW,
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rule_action="刪除 | kubectl DELETE POD",
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) is False
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# ── 防線 4:NO_ACTION ────────────────────────────────────────────────
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def test_no_action_in_action_string_returns_false(self):
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assert _evaluate_can_auto(
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rule_kubectl="kubectl get pods -n prod",
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rule_risk=RiskLevel.LOW,
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rule_action="NO_ACTION - 觀察主機狀態",
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) is False
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def test_no_action_prefix_returns_false(self):
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assert _evaluate_can_auto(
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rule_kubectl="",
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rule_risk=RiskLevel.LOW,
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rule_action="NO_ACTION - 主機記憶體正常",
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) is False
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# ── 邊界:_DESTRUCTIVE_PATTERNS 非空 ────────────────────────────────
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def test_destructive_patterns_list_not_empty(self):
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"""確保 _DESTRUCTIVE_PATTERNS 未被意外清空"""
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assert len(_DESTRUCTIVE_PATTERNS) > 0
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# ── 組合:多個防線同時觸發 ───────────────────────────────────────────
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def test_critical_and_destructive_both_block(self):
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"""CRITICAL + destructive,任一條件都應攔截"""
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assert _evaluate_can_auto(
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rule_kubectl="kubectl delete deployment/api -n prod",
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rule_risk=RiskLevel.CRITICAL,
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rule_action="刪除 Deployment | kubectl delete deployment/api",
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) is False
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