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refactor: 全部代码格式化

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This commit is contained in:
Rikki
2025-03-30 04:56:46 +08:00
parent 7adaa2f5a8
commit b2fc824afd
21 changed files with 491 additions and 514 deletions
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81
src/plugins/chat/bot.py
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@@ -56,7 +56,7 @@ class ChatBot:
5. 更新关系
6. 更新情绪
"""
message = MessageRecv(message_data)
groupinfo = message.message_info.group_info
userinfo = message.message_info.user_info
@@ -68,7 +68,7 @@ class ChatBot:
chat = await chat_manager.get_or_create_stream(
platform=messageinfo.platform,
user_info=userinfo,
group_info=groupinfo,
group_info=groupinfo,
)
message.update_chat_stream(chat)
@@ -81,15 +81,12 @@ class ChatBot:
logger.debug(f"2消息处理时间: {timer2 - timer1}秒")
# 过滤词/正则表达式过滤
if (
self._check_ban_words(message.processed_plain_text, chat, userinfo)
or self._check_ban_regex(message.raw_message, chat, userinfo)
if self._check_ban_words(message.processed_plain_text, chat, userinfo) or self._check_ban_regex(
message.raw_message, chat, userinfo
):
return
await self.storage.store_message(message, chat)
timer1 = time.time()
interested_rate = 0
@@ -99,7 +96,6 @@ class ChatBot:
timer2 = time.time()
logger.debug(f"3记忆激活时间: {timer2 - timer1}秒")
is_mentioned = is_mentioned_bot_in_message(message)
if global_config.enable_think_flow:
@@ -124,17 +120,17 @@ class ChatBot:
timer2 = time.time()
logger.debug(f"4计算意愿激活时间: {timer2 - timer1}秒")
#神秘的消息流数据结构处理
# 神秘的消息流数据结构处理
if chat.group_info:
if chat.group_info.group_name:
mes_name_dict = chat.group_info.group_name
mes_name = mes_name_dict.get('group_name', '无名群聊')
mes_name = mes_name_dict.get("group_name", "无名群聊")
else:
mes_name = '群聊'
mes_name = "群聊"
else:
mes_name = '私聊'
#打印收到的信息的信息
mes_name = "私聊"
# 打印收到的信息的信息
current_time = time.strftime("%H:%M:%S", time.localtime(messageinfo.time))
logger.info(
f"[{current_time}][{mes_name}]"
@@ -145,48 +141,47 @@ class ChatBot:
if message.message_info.additional_config:
if "maimcore_reply_probability_gain" in message.message_info.additional_config.keys():
reply_probability += message.message_info.additional_config["maimcore_reply_probability_gain"]
# 开始组织语言
if random() < reply_probability:
timer1 = time.time()
response_set, thinking_id = await self._generate_response_from_message(message, chat, userinfo, messageinfo)
timer2 = time.time()
logger.info(f"5生成回复时间: {timer2 - timer1}秒")
if not response_set:
logger.info("为什么生成回复失败？")
return
# 发送消息
timer1 = time.time()
await self._send_response_messages(message, chat, response_set, thinking_id)
timer2 = time.time()
logger.info(f"7发送消息时间: {timer2 - timer1}秒")
# 处理表情包
timer1 = time.time()
await self._handle_emoji(message, chat, response_set)
timer2 = time.time()
logger.debug(f"8处理表情包时间: {timer2 - timer1}秒")
timer1 = time.time()
await self._update_using_response(message, chat, response_set)
timer2 = time.time()
logger.info(f"6更新htfl时间: {timer2 - timer1}秒")
# 更新情绪和关系
# await self._update_emotion_and_relationship(message, chat, response_set)
async def _generate_response_from_message(self, message, chat, userinfo, messageinfo):
"""生成回复内容
Args:
message: 接收到的消息
chat: 聊天流对象
userinfo: 用户信息对象
messageinfo: 消息信息对象
Returns:
tuple: (response, raw_content) 回复内容和原始内容
"""
@@ -195,7 +190,7 @@ class ChatBot:
user_nickname=global_config.BOT_NICKNAME,
platform=messageinfo.platform,
)
thinking_time_point = round(time.time(), 2)
thinking_id = "mt" + str(thinking_time_point)
thinking_message = MessageThinking(
@@ -208,9 +203,9 @@ class ChatBot:
message_manager.add_message(thinking_message)
willing_manager.change_reply_willing_sent(chat)
response_set = await self.gpt.generate_response(message)
return response_set, thinking_id
async def _update_using_response(self, message, response_set):
@@ -221,14 +216,13 @@ class ChatBot:
chat_talking_prompt = get_recent_group_detailed_plain_text(
stream_id, limit=global_config.MAX_CONTEXT_SIZE, combine=True
)
heartflow.get_subheartflow(stream_id).do_after_reply(response_set, chat_talking_prompt)
heartflow.get_subheartflow(stream_id).do_after_reply(response_set, chat_talking_prompt)
async def _send_response_messages(self, message, chat, response_set, thinking_id):
container = message_manager.get_container(chat.stream_id)
thinking_message = None
# logger.info(f"开始发送消息准备")
for msg in container.messages:
if isinstance(msg, MessageThinking) and msg.message_info.message_id == thinking_id:
@@ -243,7 +237,7 @@ class ChatBot:
# logger.info(f"开始发送消息")
thinking_start_time = thinking_message.thinking_start_time
message_set = MessageSet(chat, thinking_id)
mark_head = False
for msg in response_set:
message_segment = Seg(type="text", data=msg)
@@ -270,7 +264,7 @@ class ChatBot:
async def _handle_emoji(self, message, chat, response):
"""处理表情包
Args:
message: 接收到的消息
chat: 聊天流对象
@@ -281,10 +275,10 @@ class ChatBot:
if emoji_raw:
emoji_path, description = emoji_raw
emoji_cq = image_path_to_base64(emoji_path)
thinking_time_point = round(message.message_info.time, 2)
bot_response_time = thinking_time_point + (1 if random() < 0.5 else -1)
message_segment = Seg(type="emoji", data=emoji_cq)
bot_message = MessageSending(
message_id="mt" + str(thinking_time_point),
@@ -304,7 +298,7 @@ class ChatBot:
async def _update_emotion_and_relationship(self, message, chat, response, raw_content):
"""更新情绪和关系
Args:
message: 接收到的消息
chat: 聊天流对象
@@ -313,27 +307,24 @@ class ChatBot:
"""
stance, emotion = await self.gpt._get_emotion_tags(raw_content, message.processed_plain_text)
logger.debug(f"为 '{response}' 立场为：{stance} 获取到的情感标签为：{emotion}")
await relationship_manager.calculate_update_relationship_value(
chat_stream=chat, label=emotion, stance=stance
)
await relationship_manager.calculate_update_relationship_value(chat_stream=chat, label=emotion, stance=stance)
self.mood_manager.update_mood_from_emotion(emotion, global_config.mood_intensity_factor)
def _check_ban_words(self, text: str, chat, userinfo) -> bool:
"""检查消息中是否包含过滤词
Args:
text: 要检查的文本
chat: 聊天流对象
userinfo: 用户信息对象
Returns:
bool: 如果包含过滤词返回True，否则返回False
"""
for word in global_config.ban_words:
if word in text:
logger.info(
f"[{chat.group_info.group_name if chat.group_info else '私聊'}]"
f"{userinfo.user_nickname}:{text}"
f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{text}"
)
logger.info(f"[过滤词识别]消息中含有{word}，filtered")
return True
@@ -341,24 +332,24 @@ class ChatBot:
def _check_ban_regex(self, text: str, chat, userinfo) -> bool:
"""检查消息是否匹配过滤正则表达式
Args:
text: 要检查的文本
chat: 聊天流对象
userinfo: 用户信息对象
Returns:
bool: 如果匹配过滤正则返回True，否则返回False
"""
for pattern in global_config.ban_msgs_regex:
if re.search(pattern, text):
logger.info(
f"[{chat.group_info.group_name if chat.group_info else '私聊'}]"
f"{userinfo.user_nickname}:{text}"
f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{text}"
)
logger.info(f"[正则表达式过滤]消息匹配到{pattern}，filtered")
return True
return False
# 创建全局ChatBot实例
chat_bot = ChatBot()