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fix:ruff

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This commit is contained in:
SengokuCola
2025-03-28 08:06:50 +08:00
parent e2ae9645ef
commit 4a72fe104a
5 changed files with 28 additions and 21 deletions
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41
src/plugins/memory_system/Hippocampus.py
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@@ -566,7 +566,8 @@ class ParahippocampalGyrus:
logger.debug(input_text)
topic_num = self.hippocampus.calculate_topic_num(input_text, compress_rate)
topics_response = await self.hippocampus.llm_topic_judge.generate_response(self.hippocampus.find_topic_llm(input_text, topic_num))
topics_response = await self.hippocampus.llm_topic_judge.generate_response(
self.hippocampus.find_topic_llm(input_text, topic_num))
# 使用正则表达式提取<>中的内容
topics = re.findall(r'<([^>]+)>', topics_response[0])
@@ -779,16 +780,20 @@ class ParahippocampalGyrus:
# 汇总输出所有变化
logger.info("[遗忘] 遗忘操作统计:")
if edge_changes["weakened"]:
logger.info(f"[遗忘] 减弱的连接 ({len(edge_changes['weakened'])}个): {', '.join(edge_changes['weakened'])}")
logger.info(
f"[遗忘] 减弱的连接 ({len(edge_changes['weakened'])}个): {', '.join(edge_changes['weakened'])}")
if edge_changes["removed"]:
logger.info(f"[遗忘] 移除的连接 ({len(edge_changes['removed'])}个): {', '.join(edge_changes['removed'])}")
logger.info(
f"[遗忘] 移除的连接 ({len(edge_changes['removed'])}个): {', '.join(edge_changes['removed'])}")
if node_changes["reduced"]:
logger.info(f"[遗忘] 减少记忆的节点 ({len(node_changes['reduced'])}个): {', '.join(node_changes['reduced'])}")
logger.info(
f"[遗忘] 减少记忆的节点 ({len(node_changes['reduced'])}个): {', '.join(node_changes['reduced'])}")
if node_changes["removed"]:
logger.info(f"[遗忘] 移除的节点 ({len(node_changes['removed'])}个): {', '.join(node_changes['removed'])}")
logger.info(
f"[遗忘] 移除的节点 ({len(node_changes['removed'])}个): {', '.join(node_changes['removed'])}")
else:
logger.info("[遗忘] 本次检查没有节点或连接满足遗忘条件")
@@ -903,8 +908,9 @@ class Hippocampus:
memories.sort(key=lambda x: x[2], reverse=True)
return memories
async def get_memory_from_text(self, text: str, max_memory_num: int = 3, max_memory_length: int = 2, max_depth: int = 3,
fast_retrieval: bool = False) -> list:
async def get_memory_from_text(self, text: str, max_memory_num: int = 3, max_memory_length: int = 2,
max_depth: int = 3,
fast_retrieval: bool = False) -> list:
"""从文本中提取关键词并获取相关记忆。
Args:
@@ -964,8 +970,6 @@ class Hippocampus:
# 从每个关键词获取记忆
all_memories = []
keyword_connections = [] # 存储关键词之间的连接关系
activation_words = set(valid_keywords) # 存储所有激活词（包括关键词和途经点）
activate_map = {} # 存储每个词的累计激活值
# 对每个关键词进行扩散式检索
@@ -1003,7 +1007,8 @@ class Hippocampus:
activation_values[neighbor] = new_activation
visited_nodes.add(neighbor)
nodes_to_process.append((neighbor, new_activation, current_depth + 1))
logger.debug(f"节点 '{neighbor}' 被激活，激活值: {new_activation:.2f} (通过 '{current_node}' 连接，强度: {strength}, 深度: {current_depth + 1})")
logger.debug(
f"节点 '{neighbor}' 被激活，激活值: {new_activation:.2f} (通过 '{current_node}' 连接，强度: {strength}, 深度: {current_depth + 1})") # noqa: E501
# 更新激活映射
for node, activation_value in activation_values.items():
@@ -1041,7 +1046,8 @@ class Hippocampus:
# 将选中的节点添加到remember_map
for node, normalized_activation in sorted_nodes:
remember_map[node] = activate_map[node] # 使用原始激活值
logger.info(f"节点 '{node}' 被选中 (归一化激活值: {normalized_activation:.2f}, 原始激活值: {activate_map[node]:.2f})")
logger.info(
f"节点 '{node}' (归一化激活值: {normalized_activation:.2f}, 激活值: {activate_map[node]:.2f})")
else:
logger.info("没有有效的激活值")
@@ -1161,8 +1167,6 @@ class Hippocampus:
logger.info(f"有效的关键词: {', '.join(valid_keywords)}")
# 从每个关键词获取记忆
keyword_connections = [] # 存储关键词之间的连接关系
activation_words = set(valid_keywords) # 存储所有激活词（包括关键词和途经点）
activate_map = {} # 存储每个词的累计激活值
# 对每个关键词进行扩散式检索
@@ -1200,7 +1204,8 @@ class Hippocampus:
activation_values[neighbor] = new_activation
visited_nodes.add(neighbor)
nodes_to_process.append((neighbor, new_activation, current_depth + 1))
logger.debug(f"节点 '{neighbor}' 被激活，激活值: {new_activation:.2f} (通过 '{current_node}' 连接，强度: {strength}, 深度: {current_depth + 1})")
logger.debug(
f"节点 '{neighbor}' 被激活，激活值: {new_activation:.2f} (通过 '{current_node}' 连接，强度: {strength}, 深度: {current_depth + 1})") # noqa: E501
# 更新激活映射
for node, activation_value in activation_values.items():
@@ -1289,12 +1294,14 @@ class HippocampusManager:
raise RuntimeError("HippocampusManager 尚未初始化，请先调用 initialize 方法")
return await self._hippocampus.parahippocampal_gyrus.operation_forget_topic(percentage)
async def get_memory_from_text(self, text: str, max_memory_num: int = 3, max_memory_length: int = 2, max_depth: int = 3,
fast_retrieval: bool = False) -> list:
async def get_memory_from_text(self, text: str, max_memory_num: int = 3,
max_memory_length: int = 2, max_depth: int = 3,
fast_retrieval: bool = False) -> list:
"""从文本中获取相关记忆的公共接口"""
if not self._initialized:
raise RuntimeError("HippocampusManager 尚未初始化，请先调用 initialize 方法")
return await self._hippocampus.get_memory_from_text(text, max_memory_num, max_memory_length, max_depth, fast_retrieval)
return await self._hippocampus.get_memory_from_text(
text, max_memory_num, max_memory_length, max_depth, fast_retrieval)
async def get_activate_from_text(self, text: str, max_depth: int = 3,
fast_retrieval: bool = False) -> float:

2
src/plugins/memory_system/debug_memory.py
View File

@@ -39,7 +39,7 @@ async def test_memory_system():
[03-24 10:46:12] (ta的id:3229291803): [表情包：这张表情包显示了一只手正在做"点赞"的动作，通常表示赞同、喜欢或支持。这个表情包所表达的情感是积极的、赞同的或支持的。]
[03-24 10:46:37] 星野風禾(ta的id:2890165435): 还能思考高达
[03-24 10:46:39] 星野風禾(ta的id:2890165435): 什么知识库
[03-24 10:46:49] ❦幻凌慌てない(ta的id:2459587037): 为什么改了回复系数麦麦还是不怎么回复？大佬们'''
[03-24 10:46:49] ❦幻凌慌てない(ta的id:2459587037): 为什么改了回复系数麦麦还是不怎么回复？大佬们''' # noqa: E501
# test_text = '''千石可乐：分不清AI的陪伴和人类的陪伴,是这样吗？'''