fix(api): 修復 Sentry Approval 欄位對齊 ApprovalRequestBase

- ApprovalRequestCreate 使用正確欄位 (action, description, blast_radius...)
- BlastRadius 改用 Model 實例而非不存在的 enum
- 移除未使用的 DryRunCheck import
- 原始欄位移至 metadata

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

apps/api/src/api/v1/sentry_webhook.py

@@ -25,7 +25,6 @@ from src.models.approval import (
     ApprovalRequestCreate,
     BlastRadius,
     DataImpact,
-    DryRunCheck,
     RiskLevel,
 )
 from src.services.approval_db import get_approval_service
@@ -382,25 +381,30 @@ async def create_sentry_approval(
         project = error_context.get("project", "unknown")
         issue_id = error_context.get("issue_id", "unknown")
 
+        # 組裝 Approval 請求 (符合 ApprovalRequestBase schema)
         approval_request = ApprovalRequestCreate(
-            source="sentry",
-            alert_type=f"sentry_{level}",
-            target_resource=culprit,
-            namespace=project,
+            action=f"Sentry {level.upper()} Alert: {culprit}",
+            description=f"{title}\n\nRoot Cause: {analysis.root_cause if analysis else '待分析'}\nSuggestion: {analysis.fix_suggestion if analysis else '待 AI 分析'}",
             risk_level=risk_level,
-            root_cause=analysis.root_cause if analysis else title,
-            suggestion=analysis.fix_suggestion if analysis else "待 AI 分析",
-            blast_radius=BlastRadius.SERVICE,  # Sentry 錯誤通常影響單一服務
-            data_impact=DataImpact.READ_ONLY,
-            dry_run_check=DryRunCheck.PASSED,
-            llm_provider=analysis.analyzed_by if analysis else "pending",
-            llm_confidence=analysis.confidence if analysis else 0.0,
+            blast_radius=BlastRadius(
+                affected_pods=1,
+                estimated_downtime="0",
+                related_services=[project],
+                data_impact=DataImpact.READ_ONLY,
+            ),
+            dry_run_checks=[],  # Sentry 告警無 dry-run
+            requested_by="sentry-webhook",
             metadata={
+                "source": "sentry",
+                "alert_type": f"sentry_{level}",
                 "sentry_issue_id": issue_id,
                 "sentry_project": project,
+                "culprit": culprit,
                 "error_count": error_context.get("count", 1),
                 "first_seen": error_context.get("first_seen"),
                 "stacktrace": error_context.get("stacktrace", []),
+                "llm_provider": analysis.analyzed_by if analysis else "pending",
+                "llm_confidence": analysis.confidence if analysis else 0.0,
             },
         )