加入告警去重與洞察向量回補

scheduler.py

@@ -1644,6 +1644,7 @@ def run_whitepage_check():
                 event_type="whitepage_check_failure",
                 priority="P1",
                 title="白頁檢查任務異常",
+                dedup_ttl_sec=1800,
             )
         except Exception as _router_e:
             logging.error(f"[Whitepage] [Check] event_router 失敗: {_router_e}")
@@ -2247,6 +2248,7 @@ def run_db_backup_task():
                     priority="P1",
                     title="資料庫備份失敗",
                     payload={"filename": result.get("filename")},
+                    dedup_ttl_sec=3600,
                 )
             except Exception as _router_e:
                 logging.error(f"[Scheduler] [Backup] event_router 失敗: {_router_e}")
@@ -2277,6 +2279,7 @@ def run_db_backup_task():
                 event_type="db_backup_failure",
                 priority="P1",
                 title="資料庫備份排程異常",
+                dedup_ttl_sec=3600,
             )
         except Exception as _router_e:
             logging.error(f"[Scheduler] [Backup] event_router 失敗: {_router_e}")
@@ -2345,6 +2348,7 @@ def run_backup_monitor_task():
                     priority="P2",
                     title="資料庫備份健康告警",
                     payload={"latest_file": info.get("filename"), "created_at": str(info.get("created_at"))},
+                    dedup_ttl_sec=21600,
                 )
             except Exception as _router_e:
                 logging.error(f"[Scheduler] [BackupMonitor] event_router 失敗: {_router_e}")
@@ -2382,6 +2386,7 @@ def run_backup_monitor_task():
                 event_type="backup_monitor_failure",
                 priority="P2",
                 title="資料庫備份監控任務異常",
+                dedup_ttl_sec=3600,
             )
         except Exception as _router_e:
             logging.error(f"[Scheduler] [BackupMonitor] event_router 失敗: {_router_e}")
@@ -2456,6 +2461,11 @@ def run_quality_rescore_task():
     try:
         from services.openclaw_learning_service import run_quality_rescore_batch
         result = run_quality_rescore_batch()
+        try:
+            from services.openclaw_learning_service import enqueue_missing_insight_embeddings
+            result["embedding_backfill"] = enqueue_missing_insight_embeddings(limit=200)
+        except Exception as _embed_e:
+            logging.warning(f"[Scheduler] [Rescore] embedding backfill 略過: {_embed_e}")
         logging.info(
             f"[Scheduler] [Rescore] 品質重算完成 | 更新={result.get('updated', 0)} 筆"
             f" | relearn 自動歸檔={result.get('relearn_reset', 0)} 筆"