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fix：优化激活值，优化logger显示

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This commit is contained in:
SengokuCola
2025-03-28 09:09:30 +08:00
parent 4a72fe104a
commit de8d2aba68
8 changed files with 102 additions and 34 deletions
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21
src/common/logger.py
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@@ -228,6 +228,26 @@ CHAT_STYLE_CONFIG = {
},
}
SUB_HEARTFLOW_STYLE_CONFIG = {
"advanced": {
"console_format": (
"<green>{time:YYYY-MM-DD HH:mm:ss}</green> | "
"<level>{level: <8}</level> | "
"<cyan>{extra[module]: <12}</cyan> | "
"<light-blue>麦麦小脑袋</light-blue> | "
"<level>{message}</level>"
),
"file_format": ("{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {extra[module]: <15} | 麦麦小脑袋 | {message}"),
},
"simple": {
"console_format": ("<green>{time:MM-DD HH:mm}</green> | <light-blue>麦麦小脑袋</light-blue> | <green>{message}</green>"), # noqa: E501
"file_format": ("{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {extra[module]: <15} | 麦麦小脑袋 | {message}"),
},
}
# 根据SIMPLE_OUTPUT选择配置
MEMORY_STYLE_CONFIG = MEMORY_STYLE_CONFIG["simple"] if SIMPLE_OUTPUT else MEMORY_STYLE_CONFIG["advanced"]
TOPIC_STYLE_CONFIG = TOPIC_STYLE_CONFIG["simple"] if SIMPLE_OUTPUT else TOPIC_STYLE_CONFIG["advanced"]
@@ -238,6 +258,7 @@ MOOD_STYLE_CONFIG = MOOD_STYLE_CONFIG["simple"] if SIMPLE_OUTPUT else MOOD_STYLE
RELATION_STYLE_CONFIG = RELATION_STYLE_CONFIG["simple"] if SIMPLE_OUTPUT else RELATION_STYLE_CONFIG["advanced"]
SCHEDULE_STYLE_CONFIG = SCHEDULE_STYLE_CONFIG["simple"] if SIMPLE_OUTPUT else SCHEDULE_STYLE_CONFIG["advanced"]
HEARTFLOW_STYLE_CONFIG = HEARTFLOW_STYLE_CONFIG["simple"] if SIMPLE_OUTPUT else HEARTFLOW_STYLE_CONFIG["advanced"]
SUB_HEARTFLOW_STYLE_CONFIG = SUB_HEARTFLOW_STYLE_CONFIG["simple"] if SIMPLE_OUTPUT else SUB_HEARTFLOW_STYLE_CONFIG["advanced"] # noqa: E501
def is_registered_module(record: dict) -> bool:
"""检查是否为已注册的模块"""

4
src/plugins/chat/bot.py
View File

@@ -130,9 +130,9 @@ class ChatBot:
# 根据话题计算激活度
topic = ""
interested_rate = await HippocampusManager.get_instance().get_activate_from_text(
message.processed_plain_text)*300
message.processed_plain_text,fast_retrieval=True)
# interested_rate = 0.1
logger.info(f"对{message.processed_plain_text}的激活度:{interested_rate}")
# logger.info(f"对{message.processed_plain_text}的激活度:{interested_rate}")
# logger.info(f"\033[1;32m[主题识别]\033[0m 使用{global_config.topic_extract}主题: {topic}")
await self.storage.store_message(message, chat, topic[0] if topic else None)

6
src/plugins/chat/prompt_builder.py
View File

@@ -81,15 +81,15 @@ class PromptBuilder:
# 调用 hippocampus 的 get_relevant_memories 方法
relevant_memories = await HippocampusManager.get_instance().get_memory_from_text(
text=message_txt,
max_memory_num=4,
max_memory_num=3,
max_memory_length=2,
max_depth=3,
fast_retrieval=True
fast_retrieval=False
)
memory_str = ""
for _topic, memories in relevant_memories:
memory_str += f"{memories}\n"
print(f"memory_str: {memory_str}")
# print(f"memory_str: {memory_str}")
if relevant_memories:
# 格式化记忆内容

22
src/plugins/memory_system/Hippocampus.py
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@@ -817,8 +817,8 @@ class Hippocampus:
self.parahippocampal_gyrus = ParahippocampalGyrus(self)
# 从数据库加载记忆图
self.entorhinal_cortex.sync_memory_from_db()
self.llm_topic_judge = LLM_request(self.config.llm_topic_judge)
self.llm_summary_by_topic = LLM_request(self.config.llm_summary_by_topic)
self.llm_topic_judge = LLM_request(self.config.llm_topic_judge,request_type="memory")
self.llm_summary_by_topic = LLM_request(self.config.llm_summary_by_topic,request_type="memory")
def get_all_node_names(self) -> list:
"""获取记忆图中所有节点的名字列表"""
@@ -950,7 +950,7 @@ class Hippocampus:
# 提取关键词
keywords = re.findall(r'<([^>]+)>', topics_response[0])
if not keywords:
keywords = ['none']
keywords = []
else:
keywords = [
keyword.strip()
@@ -1025,7 +1025,7 @@ class Hippocampus:
# 基于激活值平方的独立概率选择
remember_map = {}
logger.info("基于激活值平方的归一化选择:")
# logger.info("基于激活值平方的归一化选择:")
# 计算所有激活值的平方和
total_squared_activation = sum(activation ** 2 for activation in activate_map.values())
@@ -1080,11 +1080,10 @@ class Hippocampus:
# 获取最匹配的记忆
top_memories = memory_similarities[:max_memory_length]
# 添加到结果中
for memory, similarity in top_memories:
all_memories.append((node, [memory], similarity))
logger.info(f"选中记忆: {memory} (相似度: {similarity:.2f})")
# logger.info(f"选中记忆: {memory} (相似度: {similarity:.2f})")
else:
logger.info("节点没有记忆")
@@ -1148,7 +1147,7 @@ class Hippocampus:
# 提取关键词
keywords = re.findall(r'<([^>]+)>', topics_response[0])
if not keywords:
keywords = ['none']
keywords = []
else:
keywords = [
keyword.strip()
@@ -1221,10 +1220,13 @@ class Hippocampus:
# logger.info(f"节点 '{node}': 累计激活值 = {total_activation:.2f}")
# 计算激活节点数与总节点数的比值
total_activation = sum(activate_map.values())
logger.info(f"总激活值: {total_activation:.2f}")
total_nodes = len(self.memory_graph.G.nodes())
activated_nodes = len(activate_map)
activation_ratio = activated_nodes / total_nodes if total_nodes > 0 else 0
logger.info(f"激活节点数: {activated_nodes}, 总节点数: {total_nodes}, 激活比例: {activation_ratio}")
# activated_nodes = len(activate_map)
activation_ratio = total_activation / total_nodes if total_nodes > 0 else 0
activation_ratio = activation_ratio*40
logger.info(f"总激活值: {total_activation:.2f}, 总节点数: {total_nodes}, 激活: {activation_ratio}")
return activation_ratio

4
src/think_flow_demo/heartflow.py
View File

@@ -1,4 +1,4 @@
from .current_mind import SubHeartflow
from .sub_heartflow import SubHeartflow
from src.plugins.moods.moods import MoodManager
from src.plugins.models.utils_model import LLM_request
from src.plugins.config.config import global_config, BotConfig
@@ -46,7 +46,7 @@ class Heartflow:
logger.info("麦麦大脑袋转起来了")
self.current_state.update_current_state_info()
personality_info = " ".join(BotConfig.PROMPT_PERSONALITY)
personality_info = " ".join(global_config.PROMPT_PERSONALITY)
current_thinking_info = self.current_mind
mood_info = self.current_state.mood
related_memory_info = 'memory'

16
src/think_flow_demo/outer_world.py
View File

@@ -16,6 +16,10 @@ class Talking_info:
self.observe_times = 0
self.activate = 360
self.last_summary_time = int(datetime.now().timestamp()) # 上次更新summary的时间
self.summary_count = 0 # 30秒内的更新次数
self.max_update_in_30s = 2
self.oberve_interval = 3
self.llm_summary = LLM_request(
@@ -60,16 +64,22 @@ class Talking_info:
if len(self.talking_message) > 20:
self.talking_message = self.talking_message[-20:] # 只保留最新的20条
self.translate_message_list_to_str()
# print(self.talking_message_str)
self.observe_times += 1
self.last_observe_time = new_messages[-1]["time"]
if self.observe_times > 3:
# 检查是否需要更新summary
current_time = int(datetime.now().timestamp())
if current_time - self.last_summary_time >= 30: # 如果超过30秒，重置计数
self.summary_count = 0
self.last_summary_time = current_time
if self.summary_count < self.max_update_in_30s: # 如果30秒内更新次数小于2次
await self.update_talking_summary()
# print(f"更新了聊天总结：{self.talking_summary}")
self.summary_count += 1
async def update_talking_summary(self):
#基于已经有的talking_summary，和新的talking_message，生成一个summary
# print(f"更新聊天总结：{self.talking_summary}")
prompt = ""
prompt = f"你正在参与一个qq群聊的讨论，这个群之前在聊的内容是：{self.talking_summary}\n"
prompt += f"现在群里的群友们产生了新的讨论，有了新的发言，具体内容如下：{self.talking_message_str}\n"

61
src/think_flow_demo/current_mind.py → src/think_flow_demo/sub_heartflow.py
View File

@@ -6,6 +6,16 @@ from src.plugins.config.config import global_config, BotConfig
import re
import time
from src.plugins.schedule.schedule_generator import bot_schedule
from src.plugins.memory_system.Hippocampus import HippocampusManager
from src.common.logger import get_module_logger, LogConfig, SUB_HEARTFLOW_STYLE_CONFIG # noqa: E402
subheartflow_config = LogConfig(
# 使用海马体专用样式
console_format=SUB_HEARTFLOW_STYLE_CONFIG["console_format"],
file_format=SUB_HEARTFLOW_STYLE_CONFIG["file_format"],
)
logger = get_module_logger("subheartflow", config=subheartflow_config)
class CuttentState:
def __init__(self):
@@ -37,7 +47,7 @@ class SubHeartflow:
if not self.current_mind:
self.current_mind = "你什么也没想"
self.personality_info = " ".join(BotConfig.PROMPT_PERSONALITY)
self.personality_info = " ".join(global_config.PROMPT_PERSONALITY)
def assign_observe(self,stream_id):
self.outer_world = outer_world.get_world_by_stream_id(stream_id)
@@ -55,23 +65,42 @@ class SubHeartflow:
await asyncio.sleep(60)
async def do_a_thinking(self):
print("麦麦小脑袋转起来了")
self.current_state.update_current_state_info()
current_thinking_info = self.current_mind
mood_info = self.current_state.mood
related_memory_info = ''
message_stream_info = self.outer_world.talking_summary
schedule_info = bot_schedule.get_current_num_task(num = 2,time_info = False)
print(f"message_stream_info：{message_stream_info}")
related_memory = await HippocampusManager.get_instance().get_memory_from_text(
text=message_stream_info,
max_memory_num=3,
max_memory_length=2,
max_depth=3,
fast_retrieval=False
)
# print(f"相关记忆：{related_memory}")
if related_memory:
related_memory_info = ""
for memory in related_memory:
related_memory_info += memory[1]
else:
related_memory_info = ''
print(f"相关记忆：{related_memory_info}")
schedule_info = bot_schedule.get_current_num_task(num = 1,time_info = False)
prompt = ""
prompt += f"你刚刚在做的事情是：{schedule_info}\n"
# prompt += f"麦麦的总体想法是：{self.main_heartflow_info}\n\n"
prompt += f"{self.personality_info}\n"
prompt += f"你{self.personality_info}\n"
prompt += f"现在你正在上网，和qq群里的网友们聊天，群里正在聊的话题是：{message_stream_info}\n"
prompt += f"你想起来{related_memory_info}。"
if related_memory_info:
prompt += f"你想起来{related_memory_info}。"
prompt += f"刚刚你的想法是{current_thinking_info}。"
prompt += f"你现在{mood_info}。"
prompt += f"你现在{mood_info}。\n"
prompt += "现在你接下去继续思考，产生新的想法，不要分点输出，输出连贯的内心独白，不要太长，"
prompt += "但是记得结合上述的消息，要记得维持住你的人设，关注聊天和新内容，不要思考太多:"
reponse, reasoning_content = await self.llm_model.generate_response_async(prompt)
@@ -79,7 +108,8 @@ class SubHeartflow:
self.update_current_mind(reponse)
self.current_mind = reponse
print(f"麦麦的脑内状态：{self.current_mind}")
print(prompt)
logger.info(f"麦麦的脑内状态：{self.current_mind}")
async def do_after_reply(self,reply_content,chat_talking_prompt):
# print("麦麦脑袋转起来了")
@@ -91,24 +121,29 @@ class SubHeartflow:
message_stream_info = self.outer_world.talking_summary
message_new_info = chat_talking_prompt
reply_info = reply_content
schedule_info = bot_schedule.get_current_num_task(num = 1,time_info = False)
prompt = ""
prompt += f"{self.personality_info}\n"
prompt += f"你刚刚在做的事情是：{schedule_info}\n"
prompt += f"你{self.personality_info}\n"
prompt += f"现在你正在上网，和qq群里的网友们聊天，群里正在聊的话题是：{message_stream_info}\n"
prompt += f"你想起来{related_memory_info}。"
if related_memory_info:
prompt += f"你想起来{related_memory_info}。"
prompt += f"刚刚你的想法是{current_thinking_info}。"
prompt += f"你现在看到了网友们发的新消息:{message_new_info}\n"
prompt += f"你刚刚回复了群友们:{reply_info}"
prompt += f"你现在{mood_info}。"
prompt += "现在你接下去继续思考，产生新的想法，记得保留你刚刚的想法，不要分点输出，输出连贯的内心独白"
prompt += "不要太长，但是记得结合上述的消息，要记得你的人设，关注聊天和新内容，以及你回复的内容，不要思考太多:"
prompt += "不要太长，但是记得结合上述的消息，要记得你的人设，关注聊天和新内容，关注你回复的内容，不要思考太多:"
reponse, reasoning_content = await self.llm_model.generate_response_async(prompt)
self.update_current_mind(reponse)
self.current_mind = reponse
print(f"{self.observe_chat_id}麦麦的脑内状态：{self.current_mind}")
logger.info(f"麦麦回复后的脑内状态：{self.current_mind}")
self.last_reply_time = time.time()
@@ -133,7 +168,7 @@ class SubHeartflow:
else:
self.current_state.willing = 0
print(f"{self.observe_chat_id}麦麦的回复意愿：{self.current_state.willing}")
logger.info(f"{self.observe_chat_id}麦麦的回复意愿：{self.current_state.willing}")
return self.current_state.willing

2
template/bot_config_template.toml
View File

@@ -3,7 +3,7 @@ version = "0.0.11"
[mai_version]
version = "0.6.0"
version-fix = "snapshot-1"
version-fix = "snapshot-2"
#以下是给开发人员阅读的，一般用户不需要阅读
#如果你想要修改配置文件，请在修改后将version的值进行变更