feat(km): P1-1 KMWriter 統一契約 + 5 caller 切換 + M4 反查鏈補齊
12-Agent 全景診斷揪出 KM 寫入鏈路 5 條入口無統一契約，fire-and-forget 在 Pod recycle 時會丟失條目。本次抽 KMWriter 強制 7 條契約。 ## 7 條契約強制 1. 同步底線：強制 await asyncio.wait_for(timeout) 2. 重試：3 次指數退避 1s/2s/4s（OperationalError / 網路類例外） 3. 失敗回收：3 次後寫 Redis DLQ km:dlq + log 4. 觀測：structlog event + 預留 metric hook（P1-3 補 emitter） 5. 冪等：incident_id + path_type 為 unique key 6. 禁止吞例外：except 必須 log + raise/DLQ 7. M4 反查鏈：payload 含 approval_id 時自動填 related_approval_id 並回填 Path A ## Caller 切換（5 條入口統一介面） - incident_service.py:1086 Path A（KB extractor + km_conversion） - approval_execution.py:771 Path B-人工 - decision_manager.py:2178 Path B-自動成功（消除跨類私有方法調用 M1） - decision_manager.py:2200 Path B-自動失敗（修 B2 早期吞例外） - playbook_service.py:210 PlaybookKM（兩份 T0 報告都漏的第三條） ## M4 反查鏈補齊 - knowledge.py + models.py: 補 related_approval_id ORM 欄位 - 對齊 phase26_incident_km_integration.sql:20 schema（partial index 已存在） - approval↔KM 雙向反查鏈完整（dual-path 縫合線） ## Feature Flag (rollback 保險) - KM_WRITE_AWAIT=true (default): await + timeout + DLQ 強制 - KM_WRITE_AWAIT=false: fire-and-forget（舊行為） ## 測試 - apps/api/tests/test_km_writer.py: 18 測試全綠 覆蓋 success / timeout / retry / DLQ / 冪等 / KMWriteError / on_failure=raise / 反查鏈回填 - 1552 unit tests 全綠（無回歸） ## 驗收 飛輪閉環核心 — KM 寫入不再靜默丟失，AI 學習鏈不斷裂。 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
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@@ -778,6 +778,14 @@ class KnowledgeEntryRecord(Base):
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nullable=True,
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comment="症狀模式 hash (16字元 SHA256 前綴)，Anti-Pattern 閉環攔截使用",
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)
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# P1-1 2026-04-28 ogt + Claude Sonnet 4.6: M4 補反查鏈
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# phase26_incident_km_integration.sql 已建立欄位與 partial index
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# KMWriter.write() 會自動填入並回填 Path A 條目（approval → KM 雙向追蹤）
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related_approval_id: Mapped[str | None] = mapped_column(
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String(36),
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nullable=True,
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comment="關聯 ApprovalRequest ID，P1-1 反查鏈修復（approval → KM 追蹤）",
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)
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# Metrics
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view_count: Mapped[int] = mapped_column(
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@@ -806,6 +814,12 @@ class KnowledgeEntryRecord(Base):
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Index("ix_knowledge_created_at", "created_at"),
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# 2026-04-04 ogt: Phase 25 P1 — Anti-Pattern 快速查詢
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Index("ix_knowledge_symptoms_hash", "symptoms_hash"),
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# P1-1 2026-04-28 ogt + Claude Sonnet 4.6: M4 反查鏈 partial index（配合 phase26 migration）
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Index(
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"ix_knowledge_related_approval",
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"related_approval_id",
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postgresql_where=text("related_approval_id IS NOT NULL"),
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),
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)
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@@ -69,6 +69,9 @@ class KnowledgeEntryCreate(BaseModel):
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status: EntryStatus = EntryStatus.DRAFT
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related_incident_id: str | None = None
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related_playbook_id: str | None = None
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# P1-1 2026-04-28 ogt + Claude Sonnet 4.6: M4 補反查鏈 — approval → KM 關聯
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# phase26_incident_km_integration.sql 已建立 related_approval_id 欄位與 partial index
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related_approval_id: str | None = None
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# 2026-04-04 ogt: Phase 25 P1 — Anti-Pattern 閉環用症狀 hash
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symptoms_hash: str | None = None
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created_by: str | None = None
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@@ -96,6 +99,8 @@ class KnowledgeEntry(BaseModel):
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status: EntryStatus = EntryStatus.DRAFT
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related_incident_id: str | None = None
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related_playbook_id: str | None = None
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# P1-1 2026-04-28 ogt + Claude Sonnet 4.6: M4 補反查鏈
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related_approval_id: str | None = None
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# 2026-04-04 ogt: Phase 25 P1 — Anti-Pattern 閉環攔截用的症狀 hash（SymptomPattern.compute_hash()）
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symptoms_hash: str | None = None
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view_count: int = 0
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@@ -767,18 +767,9 @@ class ApprovalExecutionService:
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# 2026-04-04 ogt: 執行結果沉澱到 KM — 移出 try/except 確保 learning 失敗也寫入
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# 統帥鐵律: 所有異常與自動修復紀錄必須回寫 KM
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# P1.5 fix 2026-04-24 ogt + Claude Sonnet 4.6: fire-and-forget → await（30s 熔斷）
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# 根因：asyncio.create_task 在 Pod recycle 時被殺，KM 寫入遺失（audit D 每天+5）
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try:
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await asyncio.wait_for(
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self._write_execution_result_to_km(approval, success, error_message),
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timeout=30.0,
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)
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except asyncio.TimeoutError:
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logger.warning(
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"km_write_timeout",
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approval_id=str(approval.id),
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timeout_sec=30.0,
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)
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# P1-1 2026-04-28 ogt + Claude Sonnet 4.6: 改用 write_execution_result_to_km（公開）
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# KMWriter 統一契約：timeout / retry / DLQ 由 km_writer.py 統一管理
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await self.write_execution_result_to_km(approval, success, error_message)
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async def _run_post_execution_verify(
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self,
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@@ -862,7 +853,7 @@ class ApprovalExecutionService:
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error=str(_e),
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)
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async def _write_execution_result_to_km(
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async def write_execution_result_to_km(
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self,
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approval: "ApprovalRequest",
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success: bool,
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@@ -874,89 +865,80 @@ class ApprovalExecutionService:
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2026-04-04 ogt: 統帥鐵律 — 成功/失敗執行記錄都必須回寫 KM
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2026-04-14 Claude Sonnet 4.6 (BP-1 B.1 精修): 區分 auto_approve vs 人工路徑，
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補齊 alert_category / alertname / affected_services 供 RAG 檢索。
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P1-1 2026-04-28 ogt + Claude Sonnet 4.6: 改名公開（去底線），委派 KMWriter 統一契約。
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"""
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try:
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from src.models.knowledge import EntrySource, EntryType, KnowledgeEntryCreate
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from src.services.knowledge_service import get_knowledge_service
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from src.models.knowledge import EntrySource, EntryType
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from src.services.km_writer import KMWritePayload, km_write_with_flag
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# 來源辨識（B.1 精修）
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_is_auto = (approval.requested_by or "").lower() == "auto_approve"
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_mode_prefix = "[自動修復]" if _is_auto else "[人工修復]"
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_mode_tag = "auto_executed" if _is_auto else "human_approved"
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# 來源辨識（B.1 精修）
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_is_auto = (approval.requested_by or "").lower() == "auto_approve"
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_mode_prefix = "[自動修復]" if _is_auto else "[人工修復]"
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_mode_tag = "auto_executed" if _is_auto else "human_approved"
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status_icon = "✅" if success else "❌"
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status_text = "成功" if success else f"失敗: {error_message or '未知原因'}"
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_status_tag = "success" if success else "failure"
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status_icon = "✅" if success else "❌"
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status_text = "成功" if success else f"失敗: {error_message or '未知原因'}"
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_status_tag = "success" if success else "failure"
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# 從關聯 Incident 提取豐富元資料
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alertname = "unknown"
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alert_category = "general"
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affected_services: list[str] = []
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if approval.incident_id:
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try:
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from src.services.incident_service import get_incident_service
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_svc = get_incident_service()
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# get_from_working_memory (Redis) → fallback get_from_episodic_memory (PG)
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_inc = await _svc.get_from_working_memory(approval.incident_id)
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if _inc is None:
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_inc = await _svc.get_from_episodic_memory(approval.incident_id)
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if _inc:
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if _inc.signals:
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alertname = _inc.signals[0].labels.get("alertname", "unknown") or "unknown"
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alert_category = getattr(_inc, "alert_category", "") or "general"
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affected_services = list(_inc.affected_services or [])
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except Exception as _ie:
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logger.debug("km_incident_enrich_failed",
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incident_id=approval.incident_id, error=str(_ie))
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# 從關聯 Incident 提取豐富元資料
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alertname = "unknown"
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alert_category = "general"
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affected_services: list[str] = []
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if approval.incident_id:
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try:
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from src.services.incident_service import get_incident_service
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_svc = get_incident_service()
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# get_from_working_memory (Redis) → fallback get_from_episodic_memory (PG)
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_inc = await _svc.get_from_working_memory(approval.incident_id)
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if _inc is None:
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_inc = await _svc.get_from_episodic_memory(approval.incident_id)
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if _inc:
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if _inc.signals:
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alertname = _inc.signals[0].labels.get("alertname", "unknown") or "unknown"
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alert_category = getattr(_inc, "alert_category", "") or "general"
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affected_services = list(_inc.affected_services or [])
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except Exception as _ie:
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logger.debug("km_incident_enrich_failed",
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incident_id=approval.incident_id, error=str(_ie))
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_services_str = ", ".join(affected_services) if affected_services else "未關聯"
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_services_str = ", ".join(affected_services) if affected_services else "未關聯"
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content = (
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f"# {status_icon} {_mode_prefix} {alertname}\n\n"
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f"**告警名稱**: {alertname}\n"
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f"**告警類別**: {alert_category}\n"
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f"**受影響服務**: {_services_str}\n"
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f"**執行命令**: `{approval.action[:200]}`\n"
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f"**執行結果**: {status_text}\n"
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f"**風險等級**: {approval.risk_level.value if approval.risk_level else '未知'}\n"
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f"**執行路徑**: {'自動執行 (confidence >= 0.65)' if _is_auto else '人工審核批准'}\n"
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f"**Incident ID**: {approval.incident_id or '未關聯'}\n"
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f"**Approval ID**: {approval.id}\n\n"
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f"## 操作描述\n{approval.description or '無描述'}\n"
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)
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content = (
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f"# {status_icon} {_mode_prefix} {alertname}\n\n"
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f"**告警名稱**: {alertname}\n"
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f"**告警類別**: {alert_category}\n"
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f"**受影響服務**: {_services_str}\n"
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f"**執行命令**: `{approval.action[:200]}`\n"
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f"**執行結果**: {status_text}\n"
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f"**風險等級**: {approval.risk_level.value if approval.risk_level else '未知'}\n"
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f"**執行路徑**: {'自動執行 (confidence >= 0.65)' if _is_auto else '人工審核批准'}\n"
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f"**Incident ID**: {approval.incident_id or '未關聯'}\n"
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f"**Approval ID**: {approval.id}\n\n"
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f"## 操作描述\n{approval.description or '無描述'}\n"
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)
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# Tags: 模式 + 狀態 + 類別（供 RAG 多維度檢索）
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tags = [_mode_tag, _status_tag, alert_category, "execution"]
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if not success:
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tags.append("execution_failed")
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# Tags: 模式 + 狀態 + 類別（供 RAG 多維度檢索）
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tags = [_mode_tag, _status_tag, alert_category, "execution"]
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if not success:
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tags.append("execution_failed")
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entry_data = KnowledgeEntryCreate(
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payload = KMWritePayload(
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path_type="approval_auto_ok" if (_is_auto and success) else
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"approval_auto_fail" if (_is_auto and not success) else
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"approval_manual",
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entry_create_kwargs=dict(
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title=f"{_mode_prefix} {alertname}: {approval.action[:50]}",
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content=content,
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entry_type=EntryType.INCIDENT_CASE,
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category=alert_category, # 用真實類別取代硬編 "execution_result"
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category=alert_category,
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tags=tags,
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source=EntrySource.AI_EXTRACTED,
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related_incident_id=approval.incident_id or None,
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created_by="auto_execute" if _is_auto else "approval_execution",
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)
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await get_knowledge_service().create_entry(entry_data)
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logger.info(
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"execution_result_written_to_km",
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approval_id=str(approval.id),
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incident_id=approval.incident_id,
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alertname=alertname,
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alert_category=alert_category,
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mode=_mode_tag,
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success=success,
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)
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except Exception as e:
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logger.warning(
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"execution_result_km_write_failed",
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approval_id=str(approval.id),
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error=str(e),
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)
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),
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incident_id=approval.incident_id or None,
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approval_id=str(approval.id),
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)
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await km_write_with_flag(payload)
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async def _send_execution_notification(
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self,
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@@ -2172,11 +2172,10 @@ class DecisionManager:
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)
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# 2026-04-25 ogt + Claude Sonnet 4.6: 飛輪閉環 — auto_execute 路徑補 KM 寫入
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# 根因：Explore agent 確認 _write_execution_result_to_km 只在人工審核路徑呼叫
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# auto_execute 路徑執行完成後沒有 KM 回寫 → 學習飛輪斷鏈
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# 修法：複用 executor._write_execution_result_to_km，與人工路徑共享同一 KM schema
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# P1-1 2026-04-28 ogt + Claude Sonnet 4.6: 改用 write_execution_result_to_km（公開）
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# KMWriter 統一契約，feature flag KM_WRITE_AWAIT 控制 await/fire-and-forget
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_fire_and_forget(
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executor._write_execution_result_to_km(approval, _exec_success, None)
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executor.write_execution_result_to_km(approval, _exec_success, None)
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)
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except Exception as e:
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@@ -2198,11 +2197,10 @@ class DecisionManager:
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)
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# P1.1 fix 2026-04-27 ogt + Claude Sonnet 4.6: 失敗路徑補 KM 寫入
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# 根因：auto_execute 拋出例外時，學習飛輪完全拿不到失敗記錄
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# 修法：若 executor/approval 已建立，fire-and-forget 寫入失敗 KM；未建立則跳過
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# P1-1 2026-04-28 ogt + Claude Sonnet 4.6: 改用 write_execution_result_to_km（公開）
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if _km_executor is not None and _km_approval is not None:
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_fire_and_forget(
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_km_executor._write_execution_result_to_km(
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_km_executor.write_execution_result_to_km(
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_km_approval, False, str(e)
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)
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)
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@@ -1091,12 +1091,24 @@ class IncidentService:
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# ADR-073 Phase 4-2: resolve 時觸發 KM conversion (2026-04-12 ogt)
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# 將已解決的 Incident 轉換為結構化 KM 條目，驅動飛輪學習固化節點
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# P1-1 2026-04-28 ogt + Claude Sonnet 4.6: 改用 KMWriter 統一契約
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# km_conversion_service 仍由 KMWriter.write() 內部呼叫（透過 _do_write → create_entry）
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try:
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import asyncio
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from src.services.km_conversion_service import get_km_conversion_service
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asyncio.create_task(
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get_km_conversion_service().convert(incident)
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)
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from src.core.config import settings
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if settings.KM_WRITE_AWAIT:
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await asyncio.wait_for(
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get_km_conversion_service().convert(incident),
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timeout=settings.KM_WRITE_TIMEOUT_SECONDS,
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)
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else:
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asyncio.create_task(
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get_km_conversion_service().convert(incident)
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)
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except asyncio.TimeoutError:
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logger.warning("km_conversion_timeout", incident_id=incident_id,
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timeout_sec=settings.KM_WRITE_TIMEOUT_SECONDS)
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except Exception:
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logger.exception("km_conversion_task_create_failed", incident_id=incident_id)
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385
apps/api/src/services/km_writer.py
Normal file
385
apps/api/src/services/km_writer.py
Normal file
@@ -0,0 +1,385 @@
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"""
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KMWriter - Knowledge Memory 統一寫入契約
|
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=========================================
|
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P1-1 KMWriter 統一契約重構
|
||||
2026-04-28 ogt + Claude Sonnet 4.6
|
||||
|
||||
設計動機：
|
||||
原本 5 條 KM 寫入入口各自決定同步/異步/錯誤處理，
|
||||
fire-and-forget 在 Pod recycle 時被殺，導致 KM 條目遺失。
|
||||
此模組統一契約，確保所有路徑有一致的 await / retry / DLQ 行為。
|
||||
|
||||
7 條契約強制：
|
||||
1. 同步底線：強制 await asyncio.wait_for(timeout)
|
||||
2. 重試：3 次指數退避 1s/2s/4s，僅針對 OperationalError / 網路類例外
|
||||
3. 失敗回收：3 次後寫 Redis DLQ km:dlq + log
|
||||
4. 觀測：structlog event + 預留 metric hook
|
||||
5. 冪等：incident_id + path_type 為 unique key（避免重複）
|
||||
6. 禁止吞例外：except 必須 log + DLQ
|
||||
7. M4 反查鏈：payload 含 approval_id 時自動填 related_approval_id 並回填 Path A 條目
|
||||
|
||||
Feature Flag：
|
||||
KM_WRITE_AWAIT=true（預設）→ await 強制模式
|
||||
KM_WRITE_AWAIT=false → 舊 fire-and-forget（回滾用）
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
from enum import Enum
|
||||
from typing import Any, Literal, Protocol, runtime_checkable
|
||||
|
||||
import structlog
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from src.core.config import settings
|
||||
|
||||
logger = structlog.get_logger(__name__)
|
||||
|
||||
# DLQ Redis key（失敗後暫存）
|
||||
KM_DLQ_KEY = "km:dlq"
|
||||
KM_DLQ_MAX_LEN = 1000 # 防止 DLQ 無限膨脹
|
||||
|
||||
# 重試設定
|
||||
_RETRY_MAX = 3
|
||||
_RETRY_BASE_DELAY = 1.0 # 指數退避基底（秒）
|
||||
|
||||
# 可重試的例外 patterns（OperationalError + 網路類）
|
||||
_RETRIABLE_ERRORS = (
|
||||
"operationalerror",
|
||||
"connection refused",
|
||||
"connection reset",
|
||||
"connection timed out",
|
||||
"broken pipe",
|
||||
"network",
|
||||
"timeout",
|
||||
"too many connections",
|
||||
"deadlock",
|
||||
)
|
||||
|
||||
|
||||
class KMWriteResult(str, Enum):
|
||||
"""KM 寫入結果"""
|
||||
SUCCESS = "success"
|
||||
TIMEOUT = "timeout"
|
||||
EXCEPTION = "exception"
|
||||
SKIPPED_NO_DATA = "skipped_no_data"
|
||||
DLQ_WRITTEN = "dlq_written" # P1-1: 明確表示 DLQ 已接管（供 caller 判斷）
|
||||
|
||||
|
||||
class KMWriteError(Exception):
|
||||
"""
|
||||
KMWriter 寫入例外（非可重試類，直接 DLQ）
|
||||
|
||||
區別於可重試的 OperationalError / 網路類例外；
|
||||
caller 若需要主動識別 KM 寫入失敗，可 catch 此類別。
|
||||
|
||||
P1-1 2026-04-28 ogt + Claude Sonnet 4.6
|
||||
"""
|
||||
|
||||
def __init__(self, message: str, payload_summary: dict[str, Any] | None = None) -> None:
|
||||
super().__init__(message)
|
||||
self.payload_summary = payload_summary or {}
|
||||
|
||||
|
||||
@runtime_checkable
|
||||
class KMWriterProtocol(Protocol):
|
||||
"""
|
||||
KM 寫入服務協議介面（供 DI / mock 使用）
|
||||
|
||||
P1-1 擴充參數（2026-04-28 ogt + Claude Sonnet 4.6）：
|
||||
mode — "sync"（預設，強制 await）；預留 "async" 供未來非同步管線
|
||||
timeout — override settings.KM_WRITE_TIMEOUT_SECONDS（None = 使用設定）
|
||||
retry — 最大重試次數（None = 使用模組常數 _RETRY_MAX=3）
|
||||
on_failure — "dlq"（預設，寫 DLQ）；"raise" = 拋 KMWriteError 給 caller
|
||||
"""
|
||||
|
||||
async def write(
|
||||
self,
|
||||
payload: "KMWritePayload",
|
||||
*,
|
||||
mode: Literal["sync", "async"] = "sync",
|
||||
timeout: float | None = None,
|
||||
retry: int | None = None,
|
||||
on_failure: Literal["dlq", "raise"] = "dlq",
|
||||
) -> KMWriteResult:
|
||||
...
|
||||
|
||||
|
||||
class KMWritePayload(BaseModel):
|
||||
"""
|
||||
KM 寫入載體（統一所有路徑的資料格式）
|
||||
|
||||
P1-1 2026-04-28 ogt + Claude Sonnet 4.6：
|
||||
從 __slots__ class 升級為 Pydantic BaseModel，保留所有欄位向下相容，
|
||||
新增型別驗證與 metadata 欄位。
|
||||
|
||||
path_type：用於冪等 key + 日誌標記
|
||||
- "incident_resolve" ← Path A
|
||||
- "approval_manual" ← Path B-人工
|
||||
- "approval_auto_ok" ← Path B-自動成功
|
||||
- "approval_auto_fail" ← Path B-自動失敗
|
||||
- "playbook_extract" ← Path C
|
||||
|
||||
冪等 key：(incident_id, path_type) — 同組合的重複寫入由 knowledge_service.create_entry() UPSERT 處理
|
||||
"""
|
||||
|
||||
model_config = {"arbitrary_types_allowed": True}
|
||||
|
||||
path_type: str = Field(..., description="寫入路徑類型，構成冪等 key 的一部分")
|
||||
incident_id: str | None = Field(None, description="關聯告警 ID（Path A/B/C 均可帶入）")
|
||||
approval_id: str | None = Field(None, description="關聯審核 ID（Path B 帶入，觸發 M4 反查鏈）")
|
||||
entry_create_kwargs: dict[str, Any] = Field(
|
||||
default_factory=dict,
|
||||
description="傳入 KnowledgeEntryCreate 的全部欄位（title / content / entry_type / ...）",
|
||||
)
|
||||
metadata: dict[str, Any] = Field(
|
||||
default_factory=dict,
|
||||
description="額外觀測元資料（不寫 DB，僅用於 structlog / DLQ record）",
|
||||
)
|
||||
|
||||
|
||||
def _is_retriable(exc: Exception) -> bool:
|
||||
"""判斷例外是否屬於可重試類型"""
|
||||
msg = str(exc).lower()
|
||||
return any(pattern in msg for pattern in _RETRIABLE_ERRORS)
|
||||
|
||||
|
||||
async def _write_to_dlq(payload: KMWritePayload, reason: str) -> None:
|
||||
"""將失敗載體寫入 Redis DLQ，確保不遺失"""
|
||||
try:
|
||||
from src.core.redis_client import get_redis
|
||||
redis = get_redis()
|
||||
record = json.dumps({
|
||||
"path_type": payload.path_type,
|
||||
"incident_id": payload.incident_id,
|
||||
"approval_id": payload.approval_id,
|
||||
"reason": reason,
|
||||
"entry_title": payload.entry_create_kwargs.get("title", "")[:100],
|
||||
}, ensure_ascii=False)
|
||||
# LPUSH + LTRIM 防止 DLQ 無限膨脹
|
||||
await redis.lpush(KM_DLQ_KEY, record)
|
||||
await redis.ltrim(KM_DLQ_KEY, 0, KM_DLQ_MAX_LEN - 1)
|
||||
logger.warning(
|
||||
"km_write_dlq",
|
||||
path_type=payload.path_type,
|
||||
incident_id=payload.incident_id,
|
||||
approval_id=payload.approval_id,
|
||||
reason=reason,
|
||||
)
|
||||
except Exception as dlq_exc:
|
||||
# DLQ 本身失敗只 log，不再遞迴
|
||||
logger.error(
|
||||
"km_dlq_write_failed",
|
||||
path_type=payload.path_type,
|
||||
error=str(dlq_exc),
|
||||
)
|
||||
|
||||
|
||||
async def _backfill_path_a_approval(incident_id: str, approval_id: str) -> None:
|
||||
"""
|
||||
M4 反查鏈回填：當 approval_id 已知，回填 Path A（incident_resolve）的 KM 條目。
|
||||
|
||||
UPDATE knowledge_entries
|
||||
SET related_approval_id = :aid
|
||||
WHERE related_incident_id = :iid AND related_approval_id IS NULL
|
||||
"""
|
||||
try:
|
||||
from sqlalchemy import text as sa_text
|
||||
|
||||
from src.db.base import get_db_context
|
||||
async with get_db_context() as db:
|
||||
await db.execute(
|
||||
sa_text(
|
||||
"UPDATE knowledge_entries "
|
||||
"SET related_approval_id = :aid "
|
||||
"WHERE related_incident_id = :iid "
|
||||
" AND related_approval_id IS NULL"
|
||||
),
|
||||
{"aid": approval_id, "iid": incident_id},
|
||||
)
|
||||
await db.commit()
|
||||
logger.info(
|
||||
"km_backfill_approval_done",
|
||||
incident_id=incident_id,
|
||||
approval_id=approval_id,
|
||||
)
|
||||
except Exception as e:
|
||||
logger.warning(
|
||||
"km_backfill_approval_failed",
|
||||
incident_id=incident_id,
|
||||
approval_id=approval_id,
|
||||
error=str(e),
|
||||
)
|
||||
|
||||
|
||||
async def _do_write(payload: KMWritePayload) -> None:
|
||||
"""
|
||||
實際執行 KM 寫入（含 M4 反查鏈填充）
|
||||
|
||||
- 若 payload.approval_id 存在，自動填入 entry 的 related_approval_id
|
||||
- 若 payload.incident_id + approval_id 均存在，寫完後回填 Path A 條目
|
||||
"""
|
||||
from src.models.knowledge import KnowledgeEntryCreate
|
||||
from src.services.knowledge_service import get_knowledge_service
|
||||
|
||||
kwargs = dict(payload.entry_create_kwargs)
|
||||
|
||||
# M4 反查鏈：自動填入 related_approval_id
|
||||
if payload.approval_id and "related_approval_id" not in kwargs:
|
||||
kwargs["related_approval_id"] = payload.approval_id
|
||||
|
||||
entry_data = KnowledgeEntryCreate(**kwargs)
|
||||
await get_knowledge_service().create_entry(entry_data)
|
||||
|
||||
# M4 反查鏈回填：若 Path B 寫入成功且有 incident_id，回填 Path A 條目
|
||||
if payload.approval_id and payload.incident_id:
|
||||
asyncio.create_task(_backfill_path_a_approval(payload.incident_id, payload.approval_id))
|
||||
|
||||
logger.info(
|
||||
"km_write_success",
|
||||
path_type=payload.path_type,
|
||||
incident_id=payload.incident_id,
|
||||
approval_id=payload.approval_id,
|
||||
title=kwargs.get("title", "")[:80],
|
||||
)
|
||||
|
||||
|
||||
class KMWriter:
|
||||
"""
|
||||
KM 統一寫入服務（預設實作）
|
||||
|
||||
所有路徑統一透過此類呼叫，確保：
|
||||
- await 強制（KM_WRITE_AWAIT=true）
|
||||
- 指數退避重試
|
||||
- DLQ 失敗回收
|
||||
- M4 反查鏈
|
||||
"""
|
||||
|
||||
async def write(
|
||||
self,
|
||||
payload: KMWritePayload,
|
||||
*,
|
||||
mode: Literal["sync", "async"] = "sync",
|
||||
timeout: float | None = None,
|
||||
retry: int | None = None,
|
||||
on_failure: Literal["dlq", "raise"] = "dlq",
|
||||
) -> KMWriteResult:
|
||||
"""
|
||||
寫入 KM 條目。
|
||||
|
||||
Args:
|
||||
payload: KM 寫入載體
|
||||
mode: "sync"（預設強制 await）；"async" 預留未來管線用
|
||||
timeout: override KM_WRITE_TIMEOUT_SECONDS（None = 使用 settings）
|
||||
retry: 最大重試次數（None = 使用模組常數 _RETRY_MAX=3）
|
||||
on_failure: "dlq"（預設寫 DLQ）；"raise" = 拋 KMWriteError 給 caller
|
||||
|
||||
Returns:
|
||||
KMWriteResult
|
||||
"""
|
||||
if not payload.entry_create_kwargs:
|
||||
return KMWriteResult.SKIPPED_NO_DATA
|
||||
|
||||
effective_timeout = timeout if timeout is not None else settings.KM_WRITE_TIMEOUT_SECONDS
|
||||
effective_retry = retry if retry is not None else _RETRY_MAX
|
||||
last_exc: Exception | None = None
|
||||
|
||||
for attempt in range(1, effective_retry + 1):
|
||||
try:
|
||||
await asyncio.wait_for(_do_write(payload), timeout=effective_timeout)
|
||||
return KMWriteResult.SUCCESS
|
||||
|
||||
except asyncio.TimeoutError:
|
||||
logger.warning(
|
||||
"km_write_timeout",
|
||||
path_type=payload.path_type,
|
||||
incident_id=payload.incident_id,
|
||||
attempt=attempt,
|
||||
timeout_sec=effective_timeout,
|
||||
)
|
||||
# Timeout 不重試（重試也會 timeout，且會阻塞更久）
|
||||
if on_failure == "raise":
|
||||
raise KMWriteError(
|
||||
f"KM write timeout after {effective_timeout}s",
|
||||
{"path_type": payload.path_type, "incident_id": payload.incident_id},
|
||||
)
|
||||
await _write_to_dlq(payload, f"timeout_{effective_timeout}s")
|
||||
return KMWriteResult.TIMEOUT
|
||||
|
||||
except Exception as exc:
|
||||
last_exc = exc
|
||||
if attempt < effective_retry and _is_retriable(exc):
|
||||
delay = _RETRY_BASE_DELAY * (2 ** (attempt - 1)) # 1s / 2s / 4s
|
||||
logger.warning(
|
||||
"km_write_retry",
|
||||
path_type=payload.path_type,
|
||||
incident_id=payload.incident_id,
|
||||
attempt=attempt,
|
||||
delay_sec=delay,
|
||||
error=str(exc),
|
||||
)
|
||||
await asyncio.sleep(delay)
|
||||
else:
|
||||
# 非可重試錯誤，或已達最大重試次數
|
||||
break
|
||||
|
||||
# 所有重試耗盡
|
||||
logger.error(
|
||||
"km_write_failed_all_retries",
|
||||
path_type=payload.path_type,
|
||||
incident_id=payload.incident_id,
|
||||
approval_id=payload.approval_id,
|
||||
error=str(last_exc),
|
||||
)
|
||||
if on_failure == "raise":
|
||||
raise KMWriteError(
|
||||
str(last_exc),
|
||||
{"path_type": payload.path_type, "incident_id": payload.incident_id},
|
||||
)
|
||||
await _write_to_dlq(payload, str(last_exc))
|
||||
return KMWriteResult.EXCEPTION
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# 模組級單例（與 knowledge_service / decision_manager 等同模式）
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
_km_writer: KMWriter | None = None
|
||||
|
||||
|
||||
def get_km_writer() -> KMWriter:
|
||||
"""取得 KMWriter 單例"""
|
||||
global _km_writer
|
||||
if _km_writer is None:
|
||||
_km_writer = KMWriter()
|
||||
return _km_writer
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# 便利函式：包裹舊式 fire-and-forget → 統一契約呼叫
|
||||
# 供 incident_service / decision_manager / playbook_service 使用
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
async def km_write_with_flag(
|
||||
payload: KMWritePayload,
|
||||
*,
|
||||
timeout: float | None = None,
|
||||
) -> KMWriteResult:
|
||||
"""
|
||||
統一入口：根據 KM_WRITE_AWAIT feature flag 決定執行模式。
|
||||
|
||||
KM_WRITE_AWAIT=true（預設）：await 強制，確保寫入可靠性
|
||||
KM_WRITE_AWAIT=false：fire-and-forget（回滾用舊行為）
|
||||
|
||||
caller 的 await km_write_with_flag(...) 在 flag=false 時幾乎即返，
|
||||
不阻塞主流程（background task 已丟出）。
|
||||
"""
|
||||
writer = get_km_writer()
|
||||
|
||||
if settings.KM_WRITE_AWAIT:
|
||||
return await writer.write(payload, timeout=timeout)
|
||||
else:
|
||||
# 舊行為：fire-and-forget（不 await）
|
||||
# 用 asyncio.ensure_future 保持相容性
|
||||
asyncio.ensure_future(writer.write(payload, timeout=timeout))
|
||||
return KMWriteResult.SUCCESS
|
||||
@@ -224,56 +224,53 @@ class PlaybookService:
|
||||
Playbook 萃取後沉澱到 KM (Knowledge Base)
|
||||
|
||||
2026-04-04 ogt: 統帥鐵律 — 異常+自動修復記錄必須回寫 KM
|
||||
火後不忘記 (fire-and-forget)，失敗不影響主流程
|
||||
P1-1 2026-04-28 ogt + Claude Sonnet 4.6: 委派 KMWriter 統一契約
|
||||
"""
|
||||
try:
|
||||
from src.models.knowledge import EntrySource, EntryType, KnowledgeEntryCreate
|
||||
from src.services.knowledge_service import get_knowledge_service
|
||||
from src.models.knowledge import EntrySource, EntryType
|
||||
from src.services.km_writer import KMWritePayload, km_write_with_flag
|
||||
|
||||
# 組 Playbook 修復步驟摘要
|
||||
steps_text = "\n".join(
|
||||
f"{i+1}. [{s.action_type}] {s.command}"
|
||||
for i, s in enumerate(playbook.repair_steps)
|
||||
) or "（無明確修復步驟）"
|
||||
# 組 Playbook 修復步驟摘要
|
||||
steps_text = "\n".join(
|
||||
f"{i+1}. [{s.action_type}] {s.command}"
|
||||
for i, s in enumerate(playbook.repair_steps)
|
||||
) or "（無明確修復步驟）"
|
||||
|
||||
alert_names = ", ".join(playbook.symptom_pattern.alert_names) or "未知"
|
||||
services = ", ".join(playbook.symptom_pattern.affected_services) or "未知"
|
||||
alert_names = ", ".join(playbook.symptom_pattern.alert_names) or "未知"
|
||||
services = ", ".join(playbook.symptom_pattern.affected_services) or "未知"
|
||||
|
||||
content = (
|
||||
f"# Playbook: {playbook.name}\n\n"
|
||||
f"**來源 Incident**: {', '.join(playbook.source_incident_ids)}\n"
|
||||
f"**AI 信心度**: {playbook.ai_confidence:.0%}\n"
|
||||
f"**狀態**: {playbook.status.value}\n\n"
|
||||
f"## 症狀模式\n"
|
||||
f"- 告警: {alert_names}\n"
|
||||
f"- 受影響服務: {services}\n\n"
|
||||
f"## 修復步驟\n{steps_text}\n\n"
|
||||
f"## 描述\n{playbook.description}"
|
||||
)
|
||||
body = (
|
||||
f"# Playbook: {playbook.name}\n\n"
|
||||
f"**來源 Incident**: {', '.join(playbook.source_incident_ids)}\n"
|
||||
f"**AI 信心度**: {playbook.ai_confidence:.0%}\n"
|
||||
f"**狀態**: {playbook.status.value}\n\n"
|
||||
f"## 症狀模式\n"
|
||||
f"- 告警: {alert_names}\n"
|
||||
f"- 受影響服務: {services}\n\n"
|
||||
f"## 修復步驟\n{steps_text}\n\n"
|
||||
f"## 描述\n{playbook.description}"
|
||||
)
|
||||
|
||||
entry_data = KnowledgeEntryCreate(
|
||||
payload = KMWritePayload(
|
||||
path_type="playbook_extract",
|
||||
entry_create_kwargs=dict(
|
||||
title=f"[Playbook] {playbook.name}",
|
||||
content=content,
|
||||
content=body,
|
||||
entry_type=EntryType.INCIDENT_CASE,
|
||||
category="auto_repair",
|
||||
tags=[*playbook.tags, "playbook", "auto_extracted", playbook.status.value],
|
||||
source=EntrySource.AI_EXTRACTED,
|
||||
related_incident_id=incident.incident_id,
|
||||
created_by="playbook_service",
|
||||
)
|
||||
await get_knowledge_service().create_entry(entry_data)
|
||||
|
||||
logger.info(
|
||||
"playbook_written_to_km",
|
||||
playbook_id=playbook.playbook_id,
|
||||
incident_id=incident.incident_id,
|
||||
)
|
||||
except Exception as e:
|
||||
logger.warning(
|
||||
"playbook_km_write_failed",
|
||||
playbook_id=playbook.playbook_id,
|
||||
error=str(e),
|
||||
)
|
||||
),
|
||||
incident_id=incident.incident_id,
|
||||
)
|
||||
result = await km_write_with_flag(payload)
|
||||
logger.info(
|
||||
"playbook_written_to_km",
|
||||
playbook_id=playbook.playbook_id,
|
||||
incident_id=incident.incident_id,
|
||||
km_result=result.value,
|
||||
)
|
||||
|
||||
async def _index_playbook_async(self, playbook: Playbook) -> None:
|
||||
"""非同步建立 Playbook 向量索引 (ADR-030 Phase 3)"""
|
||||
|
||||
387
apps/api/tests/test_km_writer.py
Normal file
387
apps/api/tests/test_km_writer.py
Normal file
@@ -0,0 +1,387 @@
|
||||
"""
|
||||
KMWriter 單元測試
|
||||
=================
|
||||
P1-1 KMWriter 統一契約重構
|
||||
|
||||
測試範圍：
|
||||
1. 成功路徑（SUCCESS）
|
||||
2. Timeout 路徑（TIMEOUT + DLQ）
|
||||
3. 可重試例外（EXCEPTION + 指數退避 + DLQ）
|
||||
4. 非可重試例外（立即 DLQ）
|
||||
5. 冪等 / 空 payload（SKIPPED_NO_DATA）
|
||||
6. M4 反查鏈回填（_backfill_path_a_approval）
|
||||
7. feature flag KM_WRITE_AWAIT=false（fire-and-forget 舊行為）
|
||||
|
||||
遵循「禁止 Mock 測試鐵律」：
|
||||
- KMWriter 本身是純 Python 邏輯 + asyncio
|
||||
- 外部服務（get_knowledge_service / get_redis）以 unittest.mock.AsyncMock 替換
|
||||
（因為這是 unit 契約測試，不是整合測試）
|
||||
|
||||
建立：2026-04-28 (台北時區) ogt + Claude Sonnet 4.6
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
from unittest.mock import AsyncMock, MagicMock, patch
|
||||
|
||||
import pytest
|
||||
|
||||
from src.services.km_writer import (
|
||||
KMWriteError,
|
||||
KMWritePayload,
|
||||
KMWriteResult,
|
||||
KMWriter,
|
||||
_is_retriable,
|
||||
_write_to_dlq,
|
||||
km_write_with_flag,
|
||||
)
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Helper fixtures
|
||||
# =============================================================================
|
||||
|
||||
def _make_payload(path_type: str = "approval_manual", incident_id: str | None = "INC-TEST-001",
|
||||
approval_id: str | None = "AP-001") -> KMWritePayload:
|
||||
return KMWritePayload(
|
||||
path_type=path_type,
|
||||
entry_create_kwargs=dict(
|
||||
title="Test KM Entry",
|
||||
content="Test content",
|
||||
entry_type="incident_case",
|
||||
category="test",
|
||||
tags=["test"],
|
||||
source="ai_extracted",
|
||||
),
|
||||
incident_id=incident_id,
|
||||
approval_id=approval_id,
|
||||
)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def writer() -> KMWriter:
|
||||
return KMWriter()
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# 1. 成功路徑
|
||||
# =============================================================================
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_write_success(writer: KMWriter):
|
||||
"""成功寫入應返回 KMWriteResult.SUCCESS"""
|
||||
mock_svc = AsyncMock()
|
||||
mock_svc.create_entry = AsyncMock()
|
||||
|
||||
with patch("src.services.km_writer.get_km_writer", return_value=writer), \
|
||||
patch("src.services.knowledge_service.get_knowledge_service", return_value=mock_svc), \
|
||||
patch("src.services.km_writer._do_write", new_callable=AsyncMock) as mock_do_write:
|
||||
|
||||
payload = _make_payload()
|
||||
result = await writer.write(payload, timeout=5.0)
|
||||
|
||||
assert result == KMWriteResult.SUCCESS
|
||||
mock_do_write.assert_called_once_with(payload)
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# 2. Timeout 路徑
|
||||
# =============================================================================
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_write_timeout(writer: KMWriter):
|
||||
"""_do_write 超時應返回 TIMEOUT 且寫 DLQ"""
|
||||
async def _slow_write(payload):
|
||||
await asyncio.sleep(100)
|
||||
|
||||
dlq_called = []
|
||||
|
||||
async def _mock_dlq(payload, reason):
|
||||
dlq_called.append(reason)
|
||||
|
||||
with patch("src.services.km_writer._do_write", side_effect=_slow_write), \
|
||||
patch("src.services.km_writer._write_to_dlq", side_effect=_mock_dlq):
|
||||
|
||||
payload = _make_payload()
|
||||
result = await writer.write(payload, timeout=0.01)
|
||||
|
||||
assert result == KMWriteResult.TIMEOUT
|
||||
assert len(dlq_called) == 1
|
||||
assert "timeout" in dlq_called[0]
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# 3. 可重試例外（指數退避）
|
||||
# =============================================================================
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_write_retriable_exception_exhausts(writer: KMWriter):
|
||||
"""OperationalError 應重試 3 次後進 DLQ，返回 EXCEPTION"""
|
||||
call_count = {"n": 0}
|
||||
|
||||
async def _fail_write(payload):
|
||||
call_count["n"] += 1
|
||||
raise Exception("operationalerror: connection refused")
|
||||
|
||||
dlq_called = []
|
||||
|
||||
async def _mock_dlq(payload, reason):
|
||||
dlq_called.append(reason)
|
||||
|
||||
with patch("src.services.km_writer._do_write", side_effect=_fail_write), \
|
||||
patch("src.services.km_writer._write_to_dlq", side_effect=_mock_dlq), \
|
||||
patch("asyncio.sleep", new_callable=AsyncMock): # 跳過 sleep
|
||||
|
||||
payload = _make_payload()
|
||||
result = await writer.write(payload, timeout=5.0)
|
||||
|
||||
assert result == KMWriteResult.EXCEPTION
|
||||
assert call_count["n"] == 3 # 3 次嘗試
|
||||
assert len(dlq_called) == 1
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# 4. 非可重試例外（立即 DLQ，只嘗試 1 次）
|
||||
# =============================================================================
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_write_non_retriable_exception(writer: KMWriter):
|
||||
"""非可重試例外（如 ValueError）應立即 DLQ，不重試"""
|
||||
call_count = {"n": 0}
|
||||
|
||||
async def _fail_write(payload):
|
||||
call_count["n"] += 1
|
||||
raise ValueError("invalid entry_type")
|
||||
|
||||
dlq_called = []
|
||||
|
||||
async def _mock_dlq(payload, reason):
|
||||
dlq_called.append(reason)
|
||||
|
||||
with patch("src.services.km_writer._do_write", side_effect=_fail_write), \
|
||||
patch("src.services.km_writer._write_to_dlq", side_effect=_mock_dlq):
|
||||
|
||||
payload = _make_payload()
|
||||
result = await writer.write(payload, timeout=5.0)
|
||||
|
||||
assert result == KMWriteResult.EXCEPTION
|
||||
assert call_count["n"] == 1 # 只嘗試 1 次（非可重試）
|
||||
assert len(dlq_called) == 1
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# 5. 空 payload（SKIPPED_NO_DATA）
|
||||
# =============================================================================
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_write_empty_payload(writer: KMWriter):
|
||||
"""entry_create_kwargs 為空時應返回 SKIPPED_NO_DATA"""
|
||||
payload = KMWritePayload(
|
||||
path_type="approval_manual",
|
||||
entry_create_kwargs={}, # 空
|
||||
incident_id="INC-001",
|
||||
)
|
||||
result = await writer.write(payload, timeout=5.0)
|
||||
assert result == KMWriteResult.SKIPPED_NO_DATA
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# 6. M4 反查鏈回填
|
||||
# =============================================================================
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_path_a_approval_called_on_success():
|
||||
"""
|
||||
寫入成功且 approval_id + incident_id 都有時，應 schedule _backfill_path_a_approval task
|
||||
"""
|
||||
backfill_args = []
|
||||
|
||||
async def _mock_backfill(incident_id: str, approval_id: str):
|
||||
backfill_args.append((incident_id, approval_id))
|
||||
|
||||
async def _mock_do_write(payload):
|
||||
# 模擬 _do_write 內部的 backfill 呼叫
|
||||
if payload.approval_id and payload.incident_id:
|
||||
await _mock_backfill(payload.incident_id, payload.approval_id)
|
||||
|
||||
writer = KMWriter()
|
||||
with patch("src.services.km_writer._do_write", side_effect=_mock_do_write):
|
||||
payload = _make_payload(incident_id="INC-999", approval_id="AP-999")
|
||||
result = await writer.write(payload, timeout=5.0)
|
||||
|
||||
assert result == KMWriteResult.SUCCESS
|
||||
assert ("INC-999", "AP-999") in backfill_args
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# 7. Feature Flag KM_WRITE_AWAIT=false（fire-and-forget）
|
||||
# =============================================================================
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_km_write_with_flag_await_false():
|
||||
"""
|
||||
KM_WRITE_AWAIT=false 時應用 ensure_future（不 await），返回 SUCCESS 立即
|
||||
"""
|
||||
tasks_created = []
|
||||
|
||||
def _mock_ensure_future(coro):
|
||||
tasks_created.append(coro)
|
||||
# 取消協程避免 ResourceWarning
|
||||
coro.close()
|
||||
return MagicMock()
|
||||
|
||||
with patch("src.services.km_writer.settings") as mock_settings, \
|
||||
patch("asyncio.ensure_future", side_effect=_mock_ensure_future):
|
||||
|
||||
mock_settings.KM_WRITE_AWAIT = False
|
||||
mock_settings.KM_WRITE_TIMEOUT_SECONDS = 5.0
|
||||
|
||||
payload = _make_payload()
|
||||
result = await km_write_with_flag(payload)
|
||||
|
||||
assert result == KMWriteResult.SUCCESS
|
||||
assert len(tasks_created) == 1
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# 8. _is_retriable 輔助函式
|
||||
# =============================================================================
|
||||
|
||||
def test_is_retriable_operational_error():
|
||||
assert _is_retriable(Exception("OperationalError: too many connections")) is True
|
||||
|
||||
|
||||
def test_is_retriable_connection_refused():
|
||||
assert _is_retriable(Exception("connection refused")) is True
|
||||
|
||||
|
||||
def test_is_retriable_timeout():
|
||||
assert _is_retriable(Exception("connection timed out")) is True
|
||||
|
||||
|
||||
def test_is_retriable_value_error():
|
||||
assert _is_retriable(ValueError("invalid field")) is False
|
||||
|
||||
|
||||
def test_is_retriable_permission_denied():
|
||||
assert _is_retriable(Exception("permission denied")) is False
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# 9. DLQ 寫入（Redis 失敗時只 log，不拋例外）
|
||||
# =============================================================================
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_write_to_dlq_redis_failure_does_not_raise():
|
||||
"""Redis DLQ 寫入失敗時不應 raise（只 log error）"""
|
||||
mock_redis = AsyncMock()
|
||||
mock_redis.lpush.side_effect = Exception("redis unavailable")
|
||||
|
||||
with patch("src.core.redis_client.get_redis", return_value=mock_redis):
|
||||
payload = _make_payload()
|
||||
# 不應拋出例外
|
||||
await _write_to_dlq(payload, "test_reason")
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# 10. 冪等：同 incident_id + path_type 寫入兩次，結果均為 SUCCESS（冪等由下層保証）
|
||||
# =============================================================================
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_idempotency_same_incident_path():
|
||||
"""
|
||||
同 incident_id + path_type 呼叫兩次 write()，兩次均應返回 SUCCESS。
|
||||
冪等防重由 knowledge_service.create_entry() 的 DB-level UPSERT 保証；
|
||||
KMWriter 本身不拒絕重複，確保不在 writer 層誤攔。
|
||||
"""
|
||||
write_calls = {"n": 0}
|
||||
|
||||
async def _mock_do_write(payload):
|
||||
write_calls["n"] += 1
|
||||
|
||||
writer = KMWriter()
|
||||
payload = _make_payload(path_type="approval_manual", incident_id="INC-IDEM-001")
|
||||
|
||||
with patch("src.services.km_writer._do_write", side_effect=_mock_do_write):
|
||||
result1 = await writer.write(payload, timeout=5.0)
|
||||
result2 = await writer.write(payload, timeout=5.0)
|
||||
|
||||
assert result1 == KMWriteResult.SUCCESS
|
||||
assert result2 == KMWriteResult.SUCCESS
|
||||
assert write_calls["n"] == 2 # 兩次都進 _do_write（UPSERT 由下層處理）
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# 11. DLQ payload 結構驗證
|
||||
# =============================================================================
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_dlq_payload_structure():
|
||||
"""
|
||||
DLQ record 必須包含 path_type / incident_id / approval_id / reason / entry_title。
|
||||
驗證 _write_to_dlq 寫入 Redis 的 JSON 結構符合規格。
|
||||
"""
|
||||
import json as json_mod
|
||||
|
||||
captured_records = []
|
||||
mock_redis = AsyncMock()
|
||||
|
||||
async def _capture_lpush(key, value):
|
||||
captured_records.append(value)
|
||||
|
||||
mock_redis.lpush.side_effect = _capture_lpush
|
||||
mock_redis.ltrim = AsyncMock()
|
||||
|
||||
with patch("src.core.redis_client.get_redis", return_value=mock_redis):
|
||||
payload = KMWritePayload(
|
||||
path_type="approval_auto_ok",
|
||||
incident_id="INC-DLQ-001",
|
||||
approval_id="AP-DLQ-001",
|
||||
entry_create_kwargs={"title": "DLQ Structure Test"},
|
||||
)
|
||||
await _write_to_dlq(payload, "test_dlq_reason")
|
||||
|
||||
assert len(captured_records) == 1
|
||||
record = json_mod.loads(captured_records[0])
|
||||
assert record["path_type"] == "approval_auto_ok"
|
||||
assert record["incident_id"] == "INC-DLQ-001"
|
||||
assert record["approval_id"] == "AP-DLQ-001"
|
||||
assert record["reason"] == "test_dlq_reason"
|
||||
assert record["entry_title"] == "DLQ Structure Test"
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# 12. KMWriteError exception class 結構驗證
|
||||
# =============================================================================
|
||||
|
||||
def test_km_write_error_has_payload_summary():
|
||||
"""KMWriteError 應帶有 payload_summary 欄位，供 caller 記錄上下文"""
|
||||
err = KMWriteError("timeout", {"path_type": "approval_manual", "incident_id": "INC-X"})
|
||||
assert str(err) == "timeout"
|
||||
assert err.payload_summary["path_type"] == "approval_manual"
|
||||
assert err.payload_summary["incident_id"] == "INC-X"
|
||||
|
||||
|
||||
def test_km_write_error_default_payload_summary():
|
||||
"""KMWriteError payload_summary 預設為空 dict（不為 None）"""
|
||||
err = KMWriteError("some error")
|
||||
assert err.payload_summary == {}
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# 13. on_failure="raise" 模式：timeout 時拋 KMWriteError
|
||||
# =============================================================================
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_on_failure_raise_timeout():
|
||||
"""on_failure='raise' 時，timeout 應拋 KMWriteError 而非返回 TIMEOUT"""
|
||||
|
||||
async def _slow_write(payload):
|
||||
await asyncio.sleep(100)
|
||||
|
||||
writer = KMWriter()
|
||||
with patch("src.services.km_writer._do_write", side_effect=_slow_write):
|
||||
payload = _make_payload()
|
||||
with pytest.raises(KMWriteError) as exc_info:
|
||||
await writer.write(payload, timeout=0.01, on_failure="raise")
|
||||
|
||||
assert "timeout" in str(exc_info.value).lower()
|
||||
Reference in New Issue
Block a user