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tests/test_auto_repair_service.py: - 更新 3個測試符合 2026-04-07 統帥指令移除門檻 - APPROVED Playbook 直接通過 (低相似度/低品質/高風險均通過) tests/test_phase22_nemotron_collab.py: - 更新 log key: nemotron_collaboration_failed → exhausted ops/monitoring/docker-compose.exporters.yaml: - 修正 postgres DSN: awoooi:awoooi_prod_2026@localhost:5432/awoooi_prod Sprint 5.2 新增腳本: - scripts/sprint51_e2e_validation.py: L7 E2E 驗收腳本 (T1-T5) - scripts/ops/deploy-docker-health-monitor.sh: Plan A 一鍵部署腳本 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
319 lines
12 KiB
Python
319 lines
12 KiB
Python
"""
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Auto Repair Service Tests - #8 自動升級決策
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==========================================
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測試自動修復服務層功能
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版本: v1.0
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建立: 2026-03-26 (台北時區)
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建立者: Claude Code (#8 自動升級決策)
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"""
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import pytest
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from src.models.incident import Incident, IncidentStatus, Severity, Signal
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from src.models.playbook import (
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ActionType,
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Playbook,
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PlaybookStatus,
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RepairStep,
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RiskLevel,
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SymptomPattern,
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)
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from src.services.auto_repair_service import AutoRepairService
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from src.utils.timezone import now_taipei
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class MockPlaybookService:
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"""Mock playbook service for testing"""
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def __init__(self):
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self._playbooks: dict[str, Playbook] = {}
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self._recommendations: list = []
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def add_playbook(self, playbook: Playbook):
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self._playbooks[playbook.playbook_id] = playbook
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def set_recommendations(self, recommendations: list):
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self._recommendations = recommendations
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async def get_recommendations(self, symptoms, top_k=3):
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return self._recommendations
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async def get_by_id(self, playbook_id: str):
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return self._playbooks.get(playbook_id)
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async def record_execution(self, playbook_id: str, success: bool):
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playbook = self._playbooks.get(playbook_id)
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if playbook:
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if success:
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playbook.success_count += 1
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else:
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playbook.failure_count += 1
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return playbook is not None
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def create_test_incident(
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incident_id: str = "INC-TEST-001",
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severity: Severity = Severity.P2,
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) -> Incident:
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"""Create a test incident"""
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now = now_taipei()
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return Incident(
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incident_id=incident_id,
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status=IncidentStatus.INVESTIGATING,
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severity=severity,
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affected_services=["test-service"],
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signals=[
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Signal(
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alert_name="HighCPU",
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severity=severity,
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source="prometheus",
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fired_at=now,
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labels={"namespace": "prod"},
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),
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],
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)
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def create_high_quality_playbook(
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playbook_id: str = "PB-TEST-001",
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risk_level: RiskLevel = RiskLevel.MEDIUM,
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) -> Playbook:
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"""Create a high quality playbook (success_rate >= 95%, count >= 10)"""
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return Playbook(
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playbook_id=playbook_id,
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name="HighCPU - test-service 修復劇本",
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description="High quality playbook for auto repair",
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status=PlaybookStatus.APPROVED,
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symptom_pattern=SymptomPattern(
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alert_names=["HighCPU"],
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affected_services=["test-service"],
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severity_range=["P2"],
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),
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repair_steps=[
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RepairStep(
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step_number=1,
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action_type=ActionType.KUBECTL,
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command="kubectl rollout restart deployment/{target}",
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risk_level=risk_level,
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),
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],
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success_count=20, # >= 10
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failure_count=1, # success_rate = 95.2%
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ai_confidence=0.9,
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)
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class MockPlaybookRecommendation:
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"""Mock recommendation for testing"""
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def __init__(self, playbook: Playbook, similarity_score: float):
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self.playbook = playbook
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self.similarity_score = similarity_score
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async def _no_cooldown(*args, **kwargs) -> tuple[bool, str]:
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"""單元測試用 cooldown: 永遠允許 (不需要 Redis)"""
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return True, "允許自動修復 (test bypass)"
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class TestAutoRepairService:
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"""Auto Repair Service unit tests"""
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@pytest.fixture
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def mock_playbook_service(self):
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return MockPlaybookService()
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@pytest.fixture
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def service(self, mock_playbook_service):
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# 2026-04-01 ogt: 注入 no-op cooldown 以隔離 Redis 依賴
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return AutoRepairService(
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playbook_service=mock_playbook_service,
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cooldown_checker=_no_cooldown,
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)
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@pytest.mark.asyncio
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async def test_evaluate_blocks_p1_severity(self, service):
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"""Test that P1 severity incidents are blocked"""
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incident = create_test_incident(severity=Severity.P1)
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decision = await service.evaluate_auto_repair(incident)
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assert decision.can_auto_repair is False
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assert decision.blocked_by == "HIGH_SEVERITY"
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@pytest.mark.asyncio
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async def test_evaluate_blocks_p0_severity(self, service):
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"""Test that P0 severity incidents are blocked"""
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incident = create_test_incident(severity=Severity.P0)
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decision = await service.evaluate_auto_repair(incident)
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assert decision.can_auto_repair is False
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assert decision.blocked_by == "HIGH_SEVERITY"
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@pytest.mark.asyncio
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async def test_evaluate_no_playbook_match(self, service, mock_playbook_service):
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"""Test when no playbook matches"""
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mock_playbook_service.set_recommendations([])
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incident = create_test_incident(severity=Severity.P2)
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decision = await service.evaluate_auto_repair(incident)
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assert decision.can_auto_repair is False
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assert decision.blocked_by == "NO_MATCH"
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@pytest.mark.asyncio
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async def test_evaluate_low_similarity(self, service, mock_playbook_service):
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"""Test that low similarity no longer blocks auto-repair.
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2026-04-07: 統帥指令移除相似度門檻 — 只要 APPROVED Playbook 匹配即執行。
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2026-04-08 Claude Sonnet 4.6: 更新測試預期以符合當前設計。
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"""
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playbook = create_high_quality_playbook()
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mock_playbook_service.add_playbook(playbook)
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mock_playbook_service.set_recommendations([
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MockPlaybookRecommendation(playbook, similarity_score=0.5) # Below old 0.7 threshold
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])
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incident = create_test_incident(severity=Severity.P2)
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decision = await service.evaluate_auto_repair(incident)
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# 相似度門檻已移除 — APPROVED Playbook 即使低相似度也應通過
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assert decision.can_auto_repair is True
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assert decision.blocked_by is None
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@pytest.mark.asyncio
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async def test_evaluate_not_high_quality(self, service, mock_playbook_service):
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"""Test low-quality playbook is now approved (gates removed 2026-04-07).
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2026-04-07: 統帥指令移除品質門檻 — 只要 APPROVED 狀態即可執行。
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2026-04-08 Claude Sonnet 4.6: 更新測試預期以符合當前設計。
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"""
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playbook = Playbook(
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playbook_id="PB-LOW-QUALITY",
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name="Low quality playbook",
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description="Not enough executions",
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status=PlaybookStatus.APPROVED,
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symptom_pattern=SymptomPattern(
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alert_names=["HighCPU"],
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affected_services=["test-service"],
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),
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repair_steps=[
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RepairStep(
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step_number=1,
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action_type=ActionType.KUBECTL,
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command="kubectl rollout restart",
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risk_level=RiskLevel.MEDIUM,
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description="restart deployment",
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),
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],
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success_count=2,
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failure_count=0,
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)
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mock_playbook_service.add_playbook(playbook)
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mock_playbook_service.set_recommendations([
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MockPlaybookRecommendation(playbook, similarity_score=0.9)
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])
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incident = create_test_incident(severity=Severity.P2)
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decision = await service.evaluate_auto_repair(incident)
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# 品質門檻已移除 — APPROVED Playbook 直接通過
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assert decision.can_auto_repair is True
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assert decision.blocked_by is None
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@pytest.mark.asyncio
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async def test_evaluate_high_risk_blocked(self, service, mock_playbook_service):
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"""Test HIGH risk playbook is now approved (gates removed 2026-04-07).
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2026-04-07: 統帥指令移除風險等級門檻 — 只要 APPROVED 狀態即可執行。
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2026-04-08 Claude Sonnet 4.6: 更新測試預期以符合當前設計。
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"""
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playbook = create_high_quality_playbook(risk_level=RiskLevel.HIGH)
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mock_playbook_service.add_playbook(playbook)
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mock_playbook_service.set_recommendations([
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MockPlaybookRecommendation(playbook, similarity_score=0.9)
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])
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incident = create_test_incident(severity=Severity.P2)
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decision = await service.evaluate_auto_repair(incident)
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# 風險等級門檻已移除 — HIGH risk APPROVED Playbook 也通過
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assert decision.can_auto_repair is True
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assert decision.blocked_by is None
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@pytest.mark.asyncio
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async def test_evaluate_critical_risk_blocked(self, service, mock_playbook_service):
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"""Test CRITICAL risk playbook is now approved (gates removed 2026-04-07).
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2026-04-07: 統帥指令移除風險等級門檻。
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2026-04-08 Claude Sonnet 4.6: 更新測試預期以符合當前設計。
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"""
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playbook = create_high_quality_playbook(risk_level=RiskLevel.CRITICAL)
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mock_playbook_service.add_playbook(playbook)
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mock_playbook_service.set_recommendations([
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MockPlaybookRecommendation(playbook, similarity_score=0.9)
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])
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incident = create_test_incident(severity=Severity.P2)
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decision = await service.evaluate_auto_repair(incident)
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# 風險等級門檻已移除 — CRITICAL risk APPROVED Playbook 也通過
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assert decision.can_auto_repair is True
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assert decision.blocked_by is None
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@pytest.mark.asyncio
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async def test_evaluate_success(self, service, mock_playbook_service):
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"""Test successful auto repair evaluation"""
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playbook = create_high_quality_playbook(risk_level=RiskLevel.MEDIUM)
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mock_playbook_service.add_playbook(playbook)
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mock_playbook_service.set_recommendations([
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MockPlaybookRecommendation(playbook, similarity_score=0.85)
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])
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incident = create_test_incident(severity=Severity.P2)
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decision = await service.evaluate_auto_repair(incident)
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assert decision.can_auto_repair is True
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assert decision.playbook is not None
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assert decision.playbook.playbook_id == playbook.playbook_id
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assert decision.blocked_by is None
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@pytest.mark.asyncio
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async def test_evaluate_low_risk_allowed(self, service, mock_playbook_service):
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"""Test that LOW risk actions are allowed"""
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playbook = create_high_quality_playbook(risk_level=RiskLevel.LOW)
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mock_playbook_service.add_playbook(playbook)
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mock_playbook_service.set_recommendations([
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MockPlaybookRecommendation(playbook, similarity_score=0.85)
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])
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incident = create_test_incident(severity=Severity.P2)
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decision = await service.evaluate_auto_repair(incident)
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assert decision.can_auto_repair is True
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assert decision.risk_level == RiskLevel.LOW
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@pytest.mark.asyncio
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async def test_is_high_quality_calculation(self):
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"""Test is_high_quality property"""
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# High quality: APPROVED + 95%+ success rate + 10+ successes
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playbook = create_high_quality_playbook()
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assert playbook.is_high_quality is True
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assert playbook.success_rate >= 0.95
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assert playbook.success_count >= 10
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@pytest.mark.asyncio
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async def test_not_high_quality_low_success_rate(self):
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"""Test playbook with low success rate is not high quality"""
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playbook = Playbook(
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playbook_id="PB-LOW-RATE",
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name="Low success rate",
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description="Too many failures",
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status=PlaybookStatus.APPROVED,
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symptom_pattern=SymptomPattern(
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alert_names=["Test"],
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affected_services=["test"],
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),
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repair_steps=[],
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success_count=15,
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failure_count=5, # 75% success rate
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)
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assert playbook.is_high_quality is False
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assert playbook.success_rate < 0.95
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