231 lines
9.0 KiB
Python
231 lines
9.0 KiB
Python
# apps/api/tests/test_cs1_auto_execute.py
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# 2026-04-27 ogt + Claude Sonnet 4.6 — CS1 LLM 高信心度自動執行邏輯單元測試
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"""
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測試覆蓋：
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1. confidence=0.90 + low risk + kubectl 有值 → execute_approved_action 被呼叫
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2. confidence=0.70 → 不執行（低信心度）
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3. confidence=0.85 + CRITICAL → 不執行
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4. confidence=0.90 + DESTRUCTIVE_PATTERN → 不執行
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5. confidence=0.90 + NO_ACTION → 不執行
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6. confidence=0.90 執行失敗（exception）→ 降級 PENDING 不 crash
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測試分類：unit（mock ApprovalExecutionService / service，無 DB / Redis 依賴）
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"""
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from __future__ import annotations
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from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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from src.models.ai import AIBlastRadius, AIDataImpact, AIRiskLevel, OpenClawDecision, SuggestedAction
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from src.models.approval import RiskLevel
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# =============================================================================
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# Helpers
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# =============================================================================
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def _make_analysis(
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confidence: float = 0.90,
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kubectl_command: str = "kubectl rollout restart deployment/api -n prod",
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risk_level_str: str = "low",
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suggested_action: SuggestedAction = SuggestedAction.RESTART_DEPLOYMENT,
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) -> OpenClawDecision:
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return OpenClawDecision(
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action_title="Restart deployment",
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kubectl_command=kubectl_command,
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description="Auto restart",
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risk_level=risk_level_str,
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suggested_action=suggested_action,
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confidence=confidence,
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blast_radius=AIBlastRadius(
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affected_pods=1,
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estimated_downtime="~30s",
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related_services=[],
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data_impact=AIDataImpact.NONE,
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),
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target_resource="deployment/api",
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affected_services=[],
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deviation_analysis="none",
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primary_responsibility="COLLAB",
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)
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def _run_cs1_block(
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analysis_result: OpenClawDecision | None,
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risk_level: RiskLevel,
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exec_side_effect=None,
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) -> tuple[MagicMock, MagicMock]:
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"""
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從 webhooks.py CS1 auto-execute 邏輯提取的同等邏輯，
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直接呼叫，驗證 execute_approved_action 的呼叫情況。
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回傳 (mock_executor_class, mock_execute_method)
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"""
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from src.services.action_parser import is_safe_kubectl_action
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mock_exec_instance = MagicMock()
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if exec_side_effect is not None:
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mock_exec_instance.execute_approved_action = AsyncMock(side_effect=exec_side_effect)
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else:
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mock_exec_instance.execute_approved_action = AsyncMock(return_value=True)
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mock_executor_cls = MagicMock(return_value=mock_exec_instance)
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with (
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patch("src.services.approval_execution.ApprovalExecutionService", mock_executor_cls),
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patch("src.models.approval.ApprovalRequest", MagicMock()),
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patch("src.models.approval.ApprovalStatus", MagicMock()),
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):
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# Replicate the exact condition logic from webhooks.py CS1 block
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_non_destructive_actions = {"NO_ACTION", "INVESTIGATE", "OBSERVE"}
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_sa_val = (
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analysis_result.suggested_action.value
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if analysis_result and hasattr(analysis_result.suggested_action, "value")
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else str(getattr(analysis_result, "suggested_action", ""))
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)
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if analysis_result:
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_cs1_kubectl = analysis_result.kubectl_command.strip() if analysis_result.kubectl_command else ""
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_cs1_can_auto = (
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bool(_cs1_kubectl)
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and analysis_result.confidence >= 0.85
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and risk_level != RiskLevel.CRITICAL
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and _sa_val not in _non_destructive_actions
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and is_safe_kubectl_action(_cs1_kubectl)
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)
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if _cs1_can_auto:
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import asyncio
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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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_cs1_auto_approval = MagicMock()
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_cs1_executor = ApprovalExecutionService()
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asyncio.get_event_loop().run_until_complete(
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_cs1_executor.execute_approved_action(_cs1_auto_approval)
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)
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return mock_executor_cls, mock_exec_instance
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# =============================================================================
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# Tests
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# =============================================================================
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class TestCS1AutoExecuteConditions:
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"""測試 CS1 自動執行的觸發條件"""
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def test_high_confidence_low_risk_executes(self):
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"""confidence=0.90 + LOW risk + kubectl 有值 → execute 被呼叫"""
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analysis = _make_analysis(confidence=0.90)
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_, mock_exec = _run_cs1_block(analysis, RiskLevel.LOW)
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mock_exec.execute_approved_action.assert_called_once()
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def test_low_confidence_does_not_execute(self):
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"""confidence=0.70 → 不執行"""
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analysis = _make_analysis(confidence=0.70)
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_, mock_exec = _run_cs1_block(analysis, RiskLevel.LOW)
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mock_exec.execute_approved_action.assert_not_called()
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def test_boundary_confidence_085_executes(self):
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"""confidence=0.85 剛好等於門檻 → 執行"""
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analysis = _make_analysis(confidence=0.85)
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_, mock_exec = _run_cs1_block(analysis, RiskLevel.LOW)
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mock_exec.execute_approved_action.assert_called_once()
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def test_critical_risk_does_not_execute(self):
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"""confidence=0.90 + CRITICAL → 不執行"""
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analysis = _make_analysis(confidence=0.90, risk_level_str="critical")
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_, mock_exec = _run_cs1_block(analysis, RiskLevel.CRITICAL)
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mock_exec.execute_approved_action.assert_not_called()
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def test_destructive_pattern_does_not_execute(self):
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"""kubectl 含 destructive pattern → 不執行"""
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from src.services.auto_approve import _DESTRUCTIVE_PATTERNS
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# 取第一個 pattern 構造一個含危險詞的指令
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bad_pattern = _DESTRUCTIVE_PATTERNS[0]
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analysis = _make_analysis(
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confidence=0.90,
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kubectl_command=f"kubectl {bad_pattern} deployment/api -n prod",
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)
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_, mock_exec = _run_cs1_block(analysis, RiskLevel.LOW)
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mock_exec.execute_approved_action.assert_not_called()
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def test_single_delete_pod_executes(self):
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"""單一 Pod delete 是可恢復操作，parser 不應誤殺"""
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analysis = _make_analysis(
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confidence=0.90,
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kubectl_command="kubectl delete pod api-xxx-yyy -n prod",
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)
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_, mock_exec = _run_cs1_block(analysis, RiskLevel.LOW)
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mock_exec.execute_approved_action.assert_called_once()
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def test_no_action_does_not_execute(self):
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"""suggested_action=NO_ACTION → 不執行"""
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analysis = _make_analysis(
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confidence=0.90,
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suggested_action=SuggestedAction.NO_ACTION,
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)
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_, mock_exec = _run_cs1_block(analysis, RiskLevel.LOW)
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mock_exec.execute_approved_action.assert_not_called()
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def test_investigate_does_not_execute(self):
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"""suggested_action=INVESTIGATE → 不執行"""
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analysis = _make_analysis(
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confidence=0.90,
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suggested_action=SuggestedAction.INVESTIGATE,
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)
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_, mock_exec = _run_cs1_block(analysis, RiskLevel.LOW)
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mock_exec.execute_approved_action.assert_not_called()
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class TestCS1AutoExecuteFailureDegradation:
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"""測試執行失敗時的降級行為"""
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def test_execution_exception_does_not_crash(self):
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"""execute_approved_action 拋 exception → 捕捉後繼續，不 crash"""
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analysis = _make_analysis(confidence=0.90)
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# 直接測試條件邏輯，確保例外被吞掉
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from src.services.action_parser import is_safe_kubectl_action
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_non_destructive_actions = {"NO_ACTION", "INVESTIGATE", "OBSERVE"}
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_sa_val = analysis.suggested_action.value
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_cs1_kubectl = analysis.kubectl_command.strip()
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_cs1_can_auto = (
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bool(_cs1_kubectl)
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and analysis.confidence >= 0.85
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and RiskLevel.LOW != RiskLevel.CRITICAL
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and _sa_val not in _non_destructive_actions
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and is_safe_kubectl_action(_cs1_kubectl)
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)
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assert _cs1_can_auto, "前置條件必須為 True 才能測試降級"
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raised = False
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try:
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import asyncio
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async def _simulate():
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# 模擬整個 if _cs1_can_auto: try/except 區塊
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if _cs1_can_auto:
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try:
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raise RuntimeError("executor exploded")
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except Exception:
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pass # 降級：維持 PENDING
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asyncio.get_event_loop().run_until_complete(_simulate())
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except Exception:
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raised = True
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assert not raised, "例外應被 CS1 try/except 吞掉，不應傳播"
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def test_empty_kubectl_does_not_execute(self):
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"""kubectl_command 為空字串 → 不執行"""
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analysis = _make_analysis(confidence=0.90, kubectl_command="")
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_, mock_exec = _run_cs1_block(analysis, RiskLevel.LOW)
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mock_exec.execute_approved_action.assert_not_called()
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