reformat: 格式化memory.py

src/plugins/memory_system/memory.py

@@ -27,6 +27,7 @@ logger = log_module.setup_logger(LogClassification.MEMORY)
 
 logger.info("初始化记忆系统")
 
+
 class Memory_graph:
     def __init__(self):
         self.G = nx.Graph()  # 使用 networkx 的图结构
@@ -210,7 +211,8 @@ class Hippocampus:
                     # 成功抽取短期消息样本
                     # 数据写回：增加记忆次数
                     for message in messages:
-                        db.messages.update_one({"_id": message["_id"]}, {"$set": {"memorized_times": message["memorized_times"] + 1}})                 
+                        db.messages.update_one({"_id": message["_id"]},
+                                               {"$set": {"memorized_times": message["memorized_times"] + 1}})
                     return messages
             try_count += 1
         # 三次尝试均失败
@@ -612,7 +614,7 @@ class Hippocampus:
             edge_data = self.memory_graph.G[source][target]
             last_modified = edge_data.get('last_modified')
 
-            if current_time - last_modified > 3600*global_config.memory_forget_time:
+            if current_time - last_modified > 3600 * global_config.memory_forget_time:
                 current_strength = edge_data.get('strength', 1)
                 new_strength = current_strength - 1
 
@@ -632,7 +634,7 @@ class Hippocampus:
             node_data = self.memory_graph.G.nodes[node]
             last_modified = node_data.get('last_modified', current_time)
 
-            if current_time - last_modified > 3600*24:
+            if current_time - last_modified > 3600 * 24:
                 memory_items = node_data.get('memory_items', [])
                 if not isinstance(memory_items, list):
                     memory_items = [memory_items] if memory_items else []
@@ -943,6 +945,7 @@ def segment_text(text):
     seg_text = list(jieba.cut(text))
     return seg_text
 
+
 driver = get_driver()
 config = driver.config