feat(cache): Add thread-safe Redis client and enable activity stats cache

- Add get_thread_safe_redis() function with thread-local storage and PID checking to prevent "Future attached to a different loop" errors in Celery thread and prefork pools
- Implement health_check_interval=30 to prevent stale connection errors after fork
- Uncomment and enable ActivityStatsCache module in cache/memory/__init__.py
- Uncomment ActivityStatsCache implementation in activity_stats_cache.py and update to use get_thread_safe_redis()
- Update interest_memory.py to use thread-safe Redis client
- Update write_tools.py to use thread-safe Redis client
- Remove redundant Chinese comments from aioRedis.py for cleaner code
- Ensures safe Redis operations across different execution contexts and Celery worker configurations

api/app/core/memory/agent/utils/write_tools.py

@@ -260,24 +260,24 @@ async def write(
     with open(log_file, "a", encoding="utf-8") as f:
         f.write(f"=== Pipeline Run Completed: {timestamp} ===\n\n")
 
-    # # 将提取统计写入 Redis，按 workspace_id 存储
-    # try:
-    #     from app.cache.memory.activity_stats_cache import ActivityStatsCache
+    # 将提取统计写入 Redis，按 workspace_id 存储
+    try:
+        from app.cache.memory.activity_stats_cache import ActivityStatsCache
 
-    #     stats_to_cache = {
-    #         "chunk_count": len(all_chunk_nodes) if all_chunk_nodes else 0,
-    #         "statements_count": len(all_statement_nodes) if all_statement_nodes else 0,
-    #         "triplet_entities_count": len(all_entity_nodes) if all_entity_nodes else 0,
-    #         "triplet_relations_count": len(all_entity_entity_edges) if all_entity_entity_edges else 0,
-    #         "temporal_count": 0,
-    #     }
-    #     await ActivityStatsCache.set_activity_stats(
-    #         workspace_id=str(memory_config.workspace_id),
-    #         stats=stats_to_cache,
-    #     )
-    #     logger.info(f"[WRITE] 活动统计已写入 Redis: workspace_id={memory_config.workspace_id}")
-    # except Exception as cache_err:
-    #     logger.warning(f"[WRITE] 写入活动统计缓存失败（不影响主流程）: {cache_err}", exc_info=True)
+        stats_to_cache = {
+            "chunk_count": len(all_chunk_nodes) if all_chunk_nodes else 0,
+            "statements_count": len(all_statement_nodes) if all_statement_nodes else 0,
+            "triplet_entities_count": len(all_entity_nodes) if all_entity_nodes else 0,
+            "triplet_relations_count": len(all_entity_entity_edges) if all_entity_entity_edges else 0,
+            "temporal_count": 0,
+        }
+        await ActivityStatsCache.set_activity_stats(
+            workspace_id=str(memory_config.workspace_id),
+            stats=stats_to_cache,
+        )
+        logger.info(f"[WRITE] 活动统计已写入 Redis: workspace_id={memory_config.workspace_id}")
+    except Exception as cache_err:
+        logger.warning(f"[WRITE] 写入活动统计缓存失败（不影响主流程）: {cache_err}", exc_info=True)
 
-    # logger.info("=== Pipeline Complete ===")
-    # logger.info(f"Total execution time: {total_time:.2f} seconds")
+    logger.info("=== Pipeline Complete ===")
+    logger.info(f"Total execution time: {total_time:.2f} seconds")