fix:完善Maisaka记忆写回链路

补齐聊天摘要自动写回、发送后同步与图存储清理逻辑，对齐 visual 新配置字段并补充相关回归测试，同时忽略 algorithm_redesign 设计目录。

src/A_memorix/core/runtime/sdk_memory_kernel.py

@@ -802,6 +802,7 @@ class SDKMemoryKernel:
         chat_id: str,
         context_length: Optional[int] = None,
         include_personality: Optional[bool] = None,
+        time_end: Optional[float] = None,
     ) -> Dict[str, Any]:
         await self.initialize()
         assert self.summary_importer
@@ -809,6 +810,7 @@ class SDKMemoryKernel:
             stream_id=str(chat_id or "").strip(),
             context_length=context_length,
             include_personality=include_personality,
+            time_end=time_end,
         )
         if success:
             await self.rebuild_episodes_for_sources([self._build_source("chat_summary", chat_id, [])])
@@ -851,6 +853,7 @@ class SDKMemoryKernel:
                 chat_id=chat_id,
                 context_length=self._optional_int(summary_meta.get("context_length")),
                 include_personality=summary_meta.get("include_personality"),
+                time_end=time_end,
             )
             result.setdefault("external_id", external_id)
             result.setdefault("chat_id", chat_id)

src/A_memorix/core/storage/graph_store.py

@@ -1190,11 +1190,14 @@ class GraphStore:
         data_dir.mkdir(parents=True, exist_ok=True)
 
         # 保存邻接矩阵
+        matrix_path = data_dir / "graph_adjacency.npz"
         if self._adjacency is not None:
-            matrix_path = data_dir / "graph_adjacency.npz"
             with atomic_write(matrix_path, "wb") as f:
                 save_npz(f, self._adjacency)
             logger.debug(f"保存邻接矩阵: {matrix_path}")
+        elif matrix_path.exists():
+            matrix_path.unlink()
+            logger.debug(f"删除陈旧邻接矩阵: {matrix_path}")
 
         # 保存元数据
         metadata = {
@@ -1288,9 +1291,20 @@ class GraphStore:
         if self._adjacency is not None:
              adj_n = self._adjacency.shape[0]
              current_n = len(self._nodes)
-             if current_n > adj_n:
+             if current_n == 0:
+                 logger.warning("检测到空图元数据但邻接矩阵仍然存在，已重置为空图。")
+                 self._adjacency = None
+             elif current_n > adj_n:
                  logger.warning(f"检测到图存储维度不匹配: 节点数={current_n}, 矩阵大小={adj_n}. 正在自动修复...")
                  self._expand_adjacency_matrix(current_n - adj_n)
+             elif current_n < adj_n:
+                 logger.warning(
+                     f"检测到过期邻接矩阵: 节点数={current_n}, 矩阵大小={adj_n}. 正在重置邻接矩阵..."
+                 )
+                 if self.matrix_format == "csc":
+                     self._adjacency = csc_matrix((current_n, current_n), dtype=np.float32)
+                 else:
+                     self._adjacency = csr_matrix((current_n, current_n), dtype=np.float32)
 
         self._adjacency_dirty = True
         logger.info(
@@ -1445,4 +1459,3 @@ class GraphStore:
         self._adjacency_dirty = True
         logger.info(f"已从 {count} 条哈希重建边哈希映射，覆盖 {len(self._edge_hash_map)} 条边")
         return count
-

src/A_memorix/core/utils/summary_importer.py

@@ -5,12 +5,13 @@
 导入到 A_memorix 的存储组件中。
 """
 
-import time
+from pathlib import Path
+from typing import Any, Dict, List, Optional, Tuple
+
 import json
 import re
+import time
 import traceback
-from typing import List, Dict, Any, Tuple, Optional
-from pathlib import Path
 
 from src.common.logger import get_logger
 from src.services import llm_service as llm_api
@@ -222,7 +223,8 @@ class SummaryImporter:
         self,
         stream_id: str,
         context_length: Optional[int] = None,
-        include_personality: Optional[bool] = None
+        include_personality: Optional[bool] = None,
+        time_end: Optional[float] = None,
     ) -> Tuple[bool, str]:
         """
         从指定的聊天流中提取记录并执行总结导入
@@ -231,6 +233,7 @@ class SummaryImporter:
             stream_id: 聊天流 ID
             context_length: 总结的历史消息条数
             include_personality: 是否包含人设
+            time_end: 用于截取聊天记录的时间上界（闭区间）
 
         Returns:
             Tuple[bool, str]: (是否成功, 结果消息)
@@ -248,12 +251,13 @@ class SummaryImporter:
                 include_personality = self.plugin_config.get("summarization", {}).get("include_personality", True)
 
             # 2. 获取历史消息
-            # 获取当前时间之前的消息
-            now = time.time()
-            messages = message_api.get_messages_before_time_in_chat(
+            query_time_end = time.time() if time_end is None else float(time_end)
+            messages = message_api.get_messages_by_time_in_chat(
                 chat_id=stream_id,
-                timestamp=now,
-                limit=context_length
+                start_time=0.0,
+                end_time=query_time_end,
+                limit=context_length,
+                limit_mode="latest",
             )
 
             if not messages: