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MaiBot
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refactor: logger in src\plugins\chat\bot.py

pull/155/head
AL76 2025-03-10 00:33:13 +08:00
parent 288dbb68b5
commit 5746afaa2a
1 changed files with 53 additions and 50 deletions
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51
src/plugins/chat/bot.py
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@ -53,8 +53,8 @@ class ChatBot:
group_info = await bot.get_group_info(group_id=event.group_id) group_info = await bot.get_group_info(group_id=event.group_id)
sender_info = await bot.get_group_member_info(group_id=event.group_id, user_id=event.user_id, no_cache=True) sender_info = await bot.get_group_member_info(group_id=event.group_id, user_id=event.user_id, no_cache=True)
await relationship_manager.update_relationship(user_id = event.user_id, data = sender_info) await relationship_manager.update_relationship(user_id=event.user_id, data=sender_info)
await relationship_manager.update_relationship_value(user_id = event.user_id, relationship_value = 0.5) await relationship_manager.update_relationship_value(user_id=event.user_id, relationship_value=0.5)
message = Message( message = Message(
group_id=event.group_id, group_id=event.group_id,
@ -70,19 +70,19 @@ class ChatBot:
# 过滤词 # 过滤词
for word in global_config.ban_words: for word in global_config.ban_words:
if word in message.detailed_plain_text: if word in message.detailed_plain_text:
logger.info(f"\033[1;32m[{message.group_name}]{message.user_nickname}:\033[0m {message.processed_plain_text}") logger.info(
f"\033[1;32m[{message.group_name}]{message.user_nickname}:\033[0m {message.processed_plain_text}")
logger.info(f"\033[1;32m[过滤词识别]\033[0m 消息中含有{word}，filtered") logger.info(f"\033[1;32m[过滤词识别]\033[0m 消息中含有{word}，filtered")
return return
current_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(message.time)) current_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(message.time))
# topic=await topic_identifier.identify_topic_llm(message.processed_plain_text) # topic=await topic_identifier.identify_topic_llm(message.processed_plain_text)
topic = '' topic = ''
interested_rate = 0 interested_rate = 0
interested_rate = await hippocampus.memory_activate_value(message.processed_plain_text)/100 interested_rate = await hippocampus.memory_activate_value(message.processed_plain_text) / 100
print(f"\033[1;32m[记忆激活]\033[0m 对{message.processed_plain_text}的激活度:---------------------------------------{interested_rate}\n") logger.debug(f"\033[1;32m[记忆激活]\033[0m 对{message.processed_plain_text}"
"的激活度:---------------------------------------{interested_rate}\n")
# logger.info(f"\033[1;32m[主题识别]\033[0m 使用{global_config.topic_extract}主题: {topic}") # 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, topic[0] if topic else None) await self.storage.store_message(message, topic[0] if topic else None)
@ -99,23 +99,23 @@ class ChatBot:
) )
current_willing = willing_manager.get_willing(event.group_id) current_willing = willing_manager.get_willing(event.group_id)
logger.debug(
print(f"\033[1;32m[{current_time}][{message.group_name}]{message.user_nickname}:\033[0m {message.processed_plain_text}\033[1;36m[回复意愿:{current_willing:.2f}][概率:{reply_probability * 100:.1f}%]\033[0m") f"\033[1;32m[{current_time}][{message.group_name}]{message.user_nickname}:\033[0m "
"{message.processed_plain_text}\033[1;36m[回复意愿:{current_willing:.2f}][概率:{reply_probability * "
"100:.1f}%]\033[0m")
response = "" response = ""
if random() < reply_probability: if random() < reply_probability:
tinking_time_point = round(time.time(), 2) tinking_time_point = round(time.time(), 2)
think_id = 'mt' + str(tinking_time_point) think_id = 'mt' + str(tinking_time_point)
thinking_message = Message_Thinking(message=message,message_id=think_id) thinking_message = Message_Thinking(message=message, message_id=think_id)
message_manager.add_message(thinking_message) message_manager.add_message(thinking_message)
willing_manager.change_reply_willing_sent(thinking_message.group_id) willing_manager.change_reply_willing_sent(thinking_message.group_id)
response,raw_content = await self.gpt.generate_response(message) response, raw_content = await self.gpt.generate_response(message)
if response: if response:
container = message_manager.get_container(event.group_id) container = message_manager.get_container(event.group_id)
@ -133,17 +133,18 @@ class ChatBot:
print(f"\033[1;33m[警告]\033[0m 未找到对应的思考消息，可能已超时被移除") print(f"\033[1;33m[警告]\033[0m 未找到对应的思考消息，可能已超时被移除")
return return
#记录开始思考的时间，避免从思考到回复的时间太久 # 记录开始思考的时间，避免从思考到回复的时间太久
thinking_start_time = thinking_message.thinking_start_time thinking_start_time = thinking_message.thinking_start_time
message_set = MessageSet(event.group_id, global_config.BOT_QQ, think_id) # 发送消息的id和产生发送消息的message_thinking是一致的 message_set = MessageSet(event.group_id, global_config.BOT_QQ,
#计算打字时间，1是为了模拟打字，2是避免多条回复乱序 think_id) # 发送消息的id和产生发送消息的message_thinking是一致的
# 计算打字时间，1是为了模拟打字，2是避免多条回复乱序
accu_typing_time = 0 accu_typing_time = 0
# print(f"\033[1;32m[开始回复]\033[0m 开始将回复1载入发送容器") # print(f"\033[1;32m[开始回复]\033[0m 开始将回复1载入发送容器")
mark_head = False mark_head = False
for msg in response: for msg in response:
# print(f"\033[1;32m[回复内容]\033[0m {msg}") # print(f"\033[1;32m[回复内容]\033[0m {msg}")
#通过时间改变时间戳 # 通过时间改变时间戳
typing_time = calculate_typing_time(msg) typing_time = calculate_typing_time(msg)
accu_typing_time += typing_time accu_typing_time += typing_time
timepoint = tinking_time_point + accu_typing_time timepoint = tinking_time_point + accu_typing_time
@ -157,8 +158,8 @@ class ChatBot:
processed_plain_text=msg, processed_plain_text=msg,
user_nickname=global_config.BOT_NICKNAME, user_nickname=global_config.BOT_NICKNAME,
group_name=message.group_name, group_name=message.group_name,
time=timepoint, #记录了回复生成的时间 time=timepoint, # 记录了回复生成的时间
thinking_start_time=thinking_start_time, #记录了思考开始的时间 thinking_start_time=thinking_start_time, # 记录了思考开始的时间
reply_message_id=message.message_id reply_message_id=message.message_id
) )
await bot_message.initialize() await bot_message.initialize()
@ -167,7 +168,7 @@ class ChatBot:
mark_head = True mark_head = True
message_set.add_message(bot_message) message_set.add_message(bot_message)
#message_set 可以直接加入 message_manager # message_set 可以直接加入 message_manager
# print(f"\033[1;32m[回复]\033[0m 将回复载入发送容器") # print(f"\033[1;32m[回复]\033[0m 将回复载入发送容器")
message_manager.add_message(message_set) message_manager.add_message(message_set)
@ -178,7 +179,7 @@ class ChatBot:
# 检查是否 <没有找到> emoji # 检查是否 <没有找到> emoji
if emoji_raw != None: if emoji_raw != None:
emoji_path,discription = emoji_raw emoji_path, discription = emoji_raw
emoji_cq = CQCode.create_emoji_cq(emoji_path) emoji_cq = CQCode.create_emoji_cq(emoji_path)
@ -206,8 +207,8 @@ class ChatBot:
await bot_message.initialize() await bot_message.initialize()
message_manager.add_message(bot_message) message_manager.add_message(bot_message)
emotion = await self.gpt._get_emotion_tags(raw_content) emotion = await self.gpt._get_emotion_tags(raw_content)
print(f"为 '{response}' 获取到的情感标签为：{emotion}") logger.debug(f"为 '{response}' 获取到的情感标签为：{emotion}")
valuedict={ valuedict = {
'happy': 0.5, 'happy': 0.5,
'angry': -1, 'angry': -1,
'sad': -0.5, 'sad': -0.5,
@ -216,11 +217,13 @@ class ChatBot:
'fearful': -0.7, 'fearful': -0.7,
'neutral': 0.1 'neutral': 0.1
} }
await relationship_manager.update_relationship_value(message.user_id, relationship_value=valuedict[emotion[0]]) await relationship_manager.update_relationship_value(message.user_id,
relationship_value=valuedict[emotion[0]])
# 使用情绪管理器更新情绪 # 使用情绪管理器更新情绪
self.mood_manager.update_mood_from_emotion(emotion[0], global_config.mood_intensity_factor) self.mood_manager.update_mood_from_emotion(emotion[0], global_config.mood_intensity_factor)
# willing_manager.change_reply_willing_after_sent(event.group_id) # willing_manager.change_reply_willing_after_sent(event.group_id)
# 创建全局ChatBot实例 # 创建全局ChatBot实例
chat_bot = ChatBot() chat_bot = ChatBot()