diff --git a/src/plugins/chat/bot.py b/src/plugins/chat/bot.py index 81361d81b..9b39a9be6 100644 --- a/src/plugins/chat/bot.py +++ b/src/plugins/chat/bot.py @@ -7,7 +7,7 @@ from nonebot.adapters.onebot.v11 import Bot, GroupMessageEvent from ..memory_system.memory import hippocampus from ..moods.moods import MoodManager # 导入情绪管理器 from .config import global_config -from .cq_code import CQCode,cq_code_tool # 导入CQCode模块 +from .cq_code import CQCode, cq_code_tool # 导入CQCode模块 from .emoji_manager import emoji_manager # 导入表情包管理器 from .llm_generator import ResponseGenerator from .message import MessageSending, MessageRecv, MessageThinking, MessageSet @@ -24,6 +24,7 @@ from .utils_image import image_path_to_base64 from .willing_manager import willing_manager # 导入意愿管理器 from .message_base import UserInfo, GroupInfo, Seg + class ChatBot: def __init__(self): self.storage = MessageStorage() @@ -46,8 +47,13 @@ class ChatBot: self.bot = bot # 更新 bot 实例 - # 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) + try: + group_info_api = await bot.get_group_info(group_id=event.group_id) + logger.info(f"成功获取群信息: {group_info_api}") + group_name = group_info_api["group_name"] + except Exception as e: + logger.error(f"获取群信息失败: {str(e)}") + group_name = None # 白名单设定由nontbot侧完成 if event.group_id: @@ -55,50 +61,53 @@ class ChatBot: return if event.user_id in global_config.ban_user_id: return - - user_info=UserInfo( + + user_info = UserInfo( user_id=event.user_id, user_nickname=event.sender.nickname, user_cardname=event.sender.card or None, - platform='qq' + platform="qq", ) - group_info=GroupInfo( + group_info = GroupInfo( group_id=event.group_id, - group_name=None, - platform='qq' + group_name=group_name, # 使用获取到的群名称或None + platform="qq", ) - message_cq=MessageRecvCQ( + message_cq = MessageRecvCQ( message_id=event.message_id, user_info=user_info, raw_message=str(event.original_message), group_info=group_info, reply_message=event.reply, - platform='qq' + platform="qq", ) - message_json=message_cq.to_dict() + message_json = message_cq.to_dict() # 进入maimbot - message=MessageRecv(message_json) - - groupinfo=message.message_info.group_info - userinfo=message.message_info.user_info - messageinfo=message.message_info + message = MessageRecv(message_json) + + groupinfo = message.message_info.group_info + userinfo = message.message_info.user_info + messageinfo = message.message_info # 消息过滤，涉及到config有待更新 - - chat = await chat_manager.get_or_create_stream(platform=messageinfo.platform, user_info=userinfo, group_info=groupinfo) + + chat = await chat_manager.get_or_create_stream( + platform=messageinfo.platform, user_info=userinfo, group_info=groupinfo + ) message.update_chat_stream(chat) - await relationship_manager.update_relationship(chat_stream=chat,) - await relationship_manager.update_relationship_value(chat_stream=chat, relationship_value = 0.5) + await relationship_manager.update_relationship( + chat_stream=chat, + ) + await relationship_manager.update_relationship_value(chat_stream=chat, relationship_value=0.5) await message.process() # 过滤词 for word in global_config.ban_words: if word in message.processed_plain_text: - logger.info( - f"[{groupinfo.group_name}]{userinfo.user_nickname}:{message.processed_plain_text}") + logger.info(f"[群{groupinfo.group_id}]{userinfo.user_nickname}:{message.processed_plain_text}") logger.info(f"[过滤词识别]消息中含有{word}，filtered") return @@ -106,23 +115,21 @@ class ChatBot: for pattern in global_config.ban_msgs_regex: if re.search(pattern, message.raw_message): logger.info( - f"[{message.group_name}]{message.user_nickname}:{message.raw_message}") + f"[群{message.message_info.group_info.group_id}]{message.user_nickname}:{message.raw_message}" + ) logger.info(f"[正则表达式过滤]消息匹配到{pattern}，filtered") return - + current_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(messageinfo.time)) - - # topic=await topic_identifier.identify_topic_llm(message.processed_plain_text) - topic = '' + topic = "" interested_rate = 0 interested_rate = await hippocampus.memory_activate_value(message.processed_plain_text) / 100 - logger.debug(f"对{message.processed_plain_text}" - f"的激活度:{interested_rate}") + logger.debug(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) + + await self.storage.store_message(message, chat, topic[0] if topic else None) is_mentioned = is_mentioned_bot_in_message(message) reply_probability = await willing_manager.change_reply_willing_received( @@ -131,38 +138,33 @@ class ChatBot: is_mentioned_bot=is_mentioned, config=global_config, is_emoji=message.is_emoji, - interested_rate=interested_rate + interested_rate=interested_rate, ) current_willing = willing_manager.get_willing(chat_stream=chat) - + logger.info( - f"[{current_time}][{chat.group_info.group_name}]{chat.user_info.user_nickname}:" + f"[{current_time}][群{chat.group_info.group_id}]{chat.user_info.user_nickname}:" f"{message.processed_plain_text}[回复意愿:{current_willing:.2f}][概率:{reply_probability * 100:.1f}%]" ) response = None - + if random() < reply_probability: - bot_user_info=UserInfo( - user_id=global_config.BOT_QQ, - user_nickname=global_config.BOT_NICKNAME, - platform=messageinfo.platform + bot_user_info = UserInfo( + user_id=global_config.BOT_QQ, user_nickname=global_config.BOT_NICKNAME, platform=messageinfo.platform ) tinking_time_point = round(time.time(), 2) - think_id = 'mt' + str(tinking_time_point) + think_id = "mt" + str(tinking_time_point) thinking_message = MessageThinking( - message_id=think_id, - chat_stream=chat, - bot_user_info=bot_user_info, - reply=message + message_id=think_id, chat_stream=chat, bot_user_info=bot_user_info, reply=message ) - + message_manager.add_message(thinking_message) willing_manager.change_reply_willing_sent(chat) - - response,raw_content = await self.gpt.generate_response(message) - + + response, raw_content = await self.gpt.generate_response(message) + # print(f"response: {response}") if response: # print(f"有response: {response}") @@ -185,9 +187,9 @@ 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(chat, think_id) - #计算打字时间，1是为了模拟打字，2是避免多条回复乱序 + # 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 - + mark_head = False for msg in response: # print(f"\033[1;32m[回复内容]\033[0m {msg}") @@ -196,7 +198,7 @@ class ChatBot: print(f"typing_time: {typing_time}") accu_typing_time += typing_time timepoint = tinking_time_point + accu_typing_time - message_segment = Seg(type='text', data=msg) + message_segment = Seg(type="text", data=msg) print(f"message_segment: {message_segment}") bot_message = MessageSending( message_id=think_id, @@ -205,7 +207,7 @@ class ChatBot: message_segment=message_segment, reply=message, is_head=not mark_head, - is_emoji=False + is_emoji=False, ) print(f"bot_message: {bot_message}") if not mark_head: @@ -227,14 +229,14 @@ class ChatBot: if emoji_raw != None: emoji_path, description = emoji_raw - emoji_cq = image_path_to_base64(emoji_path) - + emoji_cq = image_path_to_base64(emoji_path) + if random() < 0.5: bot_response_time = tinking_time_point - 1 else: bot_response_time = bot_response_time + 1 - - message_segment = Seg(type='emoji', data=emoji_cq) + + message_segment = Seg(type="emoji", data=emoji_cq) bot_message = MessageSending( message_id=think_id, chat_stream=chat, @@ -242,25 +244,27 @@ class ChatBot: message_segment=message_segment, reply=message, is_head=False, - is_emoji=True + is_emoji=True, ) message_manager.add_message(bot_message) - + emotion = await self.gpt._get_emotion_tags(raw_content) logger.debug(f"为 '{response}' 获取到的情感标签为：{emotion}") valuedict = { - 'happy': 0.5, - 'angry': -1, - 'sad': -0.5, - 'surprised': 0.2, - 'disgusted': -1.5, - 'fearful': -0.7, - 'neutral': 0.1 + "happy": 0.5, + "angry": -1, + "sad": -0.5, + "surprised": 0.2, + "disgusted": -1.5, + "fearful": -0.7, + "neutral": 0.1, } - await relationship_manager.update_relationship_value(chat_stream=chat, relationship_value=valuedict[emotion[0]]) + await relationship_manager.update_relationship_value( + chat_stream=chat, 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( # chat_stream=chat # )