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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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25
src/plugins/chat/bot.py
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@ -70,19 +70,19 @@ class ChatBot:
# 过滤词
for word in global_config.ban_words:
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")
return
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 = ''
interested_rate = 0
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}")
await self.storage.store_message(message, topic[0] if topic else None)
@ -99,14 +99,14 @@ class ChatBot:
)
current_willing = willing_manager.get_willing(event.group_id)
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")
logger.debug(
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 = ""
if random() < reply_probability:
tinking_time_point = round(time.time(), 2)
think_id = 'mt' + str(tinking_time_point)
thinking_message = Message_Thinking(message=message, message_id=think_id)
@ -135,7 +135,8 @@ class ChatBot:
# 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
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,
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
@ -206,7 +207,7 @@ class ChatBot:
await bot_message.initialize()
message_manager.add_message(bot_message)
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 = {
'happy': 0.5,
'angry': -1,
@ -216,11 +217,13 @@ class ChatBot:
'fearful': -0.7,
'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
self.mood_manager.update_mood_from_emotion(emotion[0], global_config.mood_intensity_factor)
# willing_manager.change_reply_willing_after_sent(event.group_id)
# 创建全局ChatBot实例
chat_bot = ChatBot()