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🤖 自动格式化代码 [skip ci]

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github-actions[bot]
2025-04-29 07:20:35 +00:00
parent ac40490bf1
commit 76922c3c28
4 changed files with 30 additions and 23 deletions
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11
src/plugins/memory_system/Hippocampus.py
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@@ -1495,21 +1495,24 @@ class ParahippocampalGyrus:
# 从原始列表中移除信息量较低的项
try:
memory_items.remove(item_to_remove)
logger.info(f"[整合] 已合并节点 '{node}' 中的记忆，保留: '{item_to_keep[:60]}...', 移除: '{item_to_remove[:60]}...'" )
logger.info(
f"[整合] 已合并节点 '{node}' 中的记忆，保留: '{item_to_keep[:60]}...', 移除: '{item_to_remove[:60]}...'"
)
merged_count += 1
nodes_modified.add(node)
node_data['last_modified'] = current_timestamp # 更新修改时间
node_data["last_modified"] = current_timestamp # 更新修改时间
_merged_in_this_node = True
break # 每个节点每次检查只合并一对
except ValueError:
# 如果项已经被移除（例如，在之前的迭代中作为 item_to_keep），则跳过
logger.warning(f"[整合] 尝试移除节点 '{node}' 中不存在的项 '{item_to_remove[:30]}...'，可能已被合并。")
logger.warning(
f"[整合] 尝试移除节点 '{node}' 中不存在的项 '{item_to_remove[:30]}...'，可能已被合并。"
)
continue
# # 如果节点内发生了合并，更新节点数据 (这种方式不安全，会丢失其他属性)
# if merged_in_this_node:
# self.memory_graph.G.nodes[node]["memory_items"] = memory_items
if merged_count > 0:
logger.info(f"[整合] 共合并了 {merged_count} 对相似记忆项，分布在 {len(nodes_modified)} 个节点中。")
sync_start = time.time()

8
src/plugins/memory_system/memory_config.py
View File

@@ -31,7 +31,9 @@ class MemoryConfig:
"""从全局配置创建记忆系统配置"""
# 使用 getattr 提供默认值，防止全局配置缺少这些项
return cls(
memory_build_distribution=getattr(global_config, "memory_build_distribution", (24, 12, 0.5, 168, 72, 0.5)), # 添加默认值
memory_build_distribution=getattr(
global_config, "memory_build_distribution", (24, 12, 0.5, 168, 72, 0.5)
), # 添加默认值
build_memory_sample_num=getattr(global_config, "build_memory_sample_num", 5),
build_memory_sample_length=getattr(global_config, "build_memory_sample_length", 30),
memory_compress_rate=getattr(global_config, "memory_compress_rate", 0.1),
@@ -42,5 +44,7 @@ class MemoryConfig:
consolidate_memory_percentage=getattr(global_config, "consolidate_memory_percentage", 0.01),
consolidate_memory_interval=getattr(global_config, "consolidate_memory_interval", 1000),
llm_topic_judge=getattr(global_config, "llm_topic_judge", "default_judge_model"), # 添加默认模型名
llm_summary_by_topic=getattr(global_config, "llm_summary_by_topic", "default_summary_model"), # 添加默认模型名
llm_summary_by_topic=getattr(
global_config, "llm_summary_by_topic", "default_summary_model"
), # 添加默认模型名
)