feat(api): Phase 7.5-7.6 Playbook 整合決策與自動萃取

Phase 7.5: DecisionManager 三軌決策
- 新增 Playbook 優先匹配 (similarity >= 85%)
- 三軌決策順序: Playbook > LLM > Expert System
- 整合 PlaybookService 推薦引擎

Phase 7.6: 自動萃取機制
- approval_execution.py 成功執行後觸發萃取
- 條件: RESOLVED/CLOSED + effectiveness >= 4
- 滿分 (5) 自動核准 Playbook

測試:
- 13 個 Playbook 單元測試全部通過
- 修復 Incident 模型欄位對應 (reasoning_steps)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

apps/api/src/services/approval_execution.py

@@ -8,9 +8,11 @@ Approval Execution Service - Phase 16 R4.2 瘦身 Router 抽取
 - ApprovalDBService: 更新狀態
 - TimelineService: 記錄事件
 - NotificationManager: 發送通知
+- Phase 7.6: Playbook 自動萃取
 
-版本: v1.0
+版本: v1.1
 建立: 2026-03-25 (台北時區)
+更新: 2026-03-26 (Phase 7.6 自動萃取)
 建立者: Claude Code (Phase 16 R4.2)
 """
 
@@ -144,6 +146,11 @@ class ApprovalExecutionService:
                     duration_ms=result.duration_ms,
                 )
             )
+
+            # Phase 7.6: 觸發 Playbook 自動萃取 (fire-and-forget)
+            asyncio.create_task(
+                self._trigger_playbook_extraction(approval)
+            )
         else:
             logger.error(
                 "background_execution_failed",
@@ -250,6 +257,134 @@ class ApprovalExecutionService:
                 error=str(e),
             )
 
+    async def _trigger_playbook_extraction(
+        self,
+        approval: ApprovalRequest,
+    ) -> None:
+        """
+        Phase 7.6: 觸發 Playbook 自動萃取
+
+        條件:
+        - 執行成功
+        - 關聯的 Incident 狀態為 RESOLVED 或 CLOSED
+        - effectiveness_score >= 4
+
+        此函數為 fire-and-forget，失敗不影響主流程
+        """
+        try:
+            # 1. 從 approval 取得關聯的 incident_id
+            # approval.requested_by 可能包含 incident 資訊，或從 metadata 取得
+            # 暫時從 description 或 action 解析
+            incident_id = self._extract_incident_id_from_approval(approval)
+            if not incident_id:
+                logger.debug(
+                    "playbook_extraction_skip",
+                    approval_id=str(approval.id),
+                    reason="No incident_id found",
+                )
+                return
+
+            # 2. 取得 Incident
+            from src.services.incident_service import get_incident_service
+
+            incident_service = get_incident_service()
+            incident = await incident_service.get_incident(incident_id)
+
+            if not incident:
+                logger.debug(
+                    "playbook_extraction_skip",
+                    approval_id=str(approval.id),
+                    incident_id=incident_id,
+                    reason="Incident not found",
+                )
+                return
+
+            # 3. 檢查 Incident 狀態
+            from src.models.incident import IncidentStatus
+
+            if incident.status not in [IncidentStatus.RESOLVED, IncidentStatus.CLOSED]:
+                logger.debug(
+                    "playbook_extraction_skip",
+                    approval_id=str(approval.id),
+                    incident_id=incident_id,
+                    incident_status=incident.status.value,
+                    reason="Incident not resolved",
+                )
+                return
+
+            # 4. 檢查 effectiveness_score
+            effectiveness = incident.outcome.effectiveness_score if incident.outcome else 0
+            if effectiveness < 4:
+                logger.debug(
+                    "playbook_extraction_skip",
+                    approval_id=str(approval.id),
+                    incident_id=incident_id,
+                    effectiveness=effectiveness,
+                    reason="Low effectiveness score",
+                )
+                return
+
+            # 5. 觸發萃取
+            from src.services.playbook_service import get_playbook_service
+
+            playbook_service = get_playbook_service()
+            playbook = await playbook_service.extract_from_incident(
+                incident=incident,
+                auto_approve=effectiveness >= 5,  # 滿分自動核准
+            )
+
+            if playbook:
+                logger.info(
+                    "playbook_auto_extracted",
+                    approval_id=str(approval.id),
+                    incident_id=incident_id,
+                    playbook_id=playbook.playbook_id,
+                    playbook_name=playbook.name,
+                    auto_approved=playbook.status.value == "approved",
+                )
+            else:
+                logger.debug(
+                    "playbook_extraction_no_result",
+                    approval_id=str(approval.id),
+                    incident_id=incident_id,
+                )
+
+        except Exception as e:
+            # 萃取失敗不影響主流程
+            logger.warning(
+                "playbook_extraction_error",
+                approval_id=str(approval.id),
+                error=str(e),
+            )
+
+    def _extract_incident_id_from_approval(
+        self,
+        approval: ApprovalRequest,
+    ) -> str | None:
+        """
+        從 approval 提取關聯的 incident_id
+
+        嘗試以下來源:
+        1. approval.metadata (如果有)
+        2. approval.description 中的 INC- 模式
+        3. approval.requested_by 中的 incident 資訊
+        """
+        import re
+
+        # 從 description 或 action 中尋找 INC-XXXXXX 模式
+        text = f"{approval.description or ''} {approval.action or ''}"
+        match = re.search(r"INC-([A-Z0-9-]+)", text)
+        if match:
+            return match.group(0)  # 返回完整的 INC-XXXXX
+
+        # 從 requested_by 尋找
+        if approval.requested_by and "INC-" in approval.requested_by:
+            match = re.search(r"INC-([A-Z0-9-]+)", approval.requested_by)
+            if match:
+                return match.group(0)
+
+        return None
+
 
 # =============================================================================
 # Singleton Instance