refactor: 重构配置模块
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@@ -73,8 +73,8 @@ class NormalChat:
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messageinfo = message.message_info
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bot_user_info = UserInfo(
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user_id=global_config.BOT_QQ,
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user_nickname=global_config.BOT_NICKNAME,
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user_id=global_config.bot.qq_account,
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user_nickname=global_config.bot.nickname,
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platform=messageinfo.platform,
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)
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@@ -121,8 +121,8 @@ class NormalChat:
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message_id=thinking_id,
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chat_stream=self.chat_stream, # 使用 self.chat_stream
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bot_user_info=UserInfo(
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user_id=global_config.BOT_QQ,
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user_nickname=global_config.BOT_NICKNAME,
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user_id=global_config.bot.qq_account,
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user_nickname=global_config.bot.nickname,
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platform=message.message_info.platform,
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),
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sender_info=message.message_info.user_info,
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@@ -147,7 +147,7 @@ class NormalChat:
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# 改为实例方法
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async def _handle_emoji(self, message: MessageRecv, response: str):
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"""处理表情包"""
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if random() < global_config.emoji_chance:
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if random() < global_config.normal_chat.emoji_chance:
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emoji_raw = await emoji_manager.get_emoji_for_text(response)
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if emoji_raw:
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emoji_path, description = emoji_raw
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@@ -160,8 +160,8 @@ class NormalChat:
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message_id="mt" + str(thinking_time_point),
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chat_stream=self.chat_stream, # 使用 self.chat_stream
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bot_user_info=UserInfo(
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user_id=global_config.BOT_QQ,
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user_nickname=global_config.BOT_NICKNAME,
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user_id=global_config.bot.qq_account,
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user_nickname=global_config.bot.nickname,
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platform=message.message_info.platform,
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),
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sender_info=message.message_info.user_info,
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@@ -186,7 +186,7 @@ class NormalChat:
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label=emotion,
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stance=stance, # 使用 self.chat_stream
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)
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self.mood_manager.update_mood_from_emotion(emotion, global_config.mood_intensity_factor)
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self.mood_manager.update_mood_from_emotion(emotion, global_config.mood.mood_intensity_factor)
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async def _reply_interested_message(self) -> None:
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"""
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@@ -430,7 +430,7 @@ class NormalChat:
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def _check_ban_words(text: str, chat: ChatStream, userinfo: UserInfo) -> bool:
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"""检查消息中是否包含过滤词"""
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stream_name = chat_manager.get_stream_name(chat.stream_id) or chat.stream_id
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for word in global_config.ban_words:
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for word in global_config.chat.ban_words:
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if word in text:
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logger.info(
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f"[{stream_name}][{chat.group_info.group_name if chat.group_info else '私聊'}]"
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@@ -445,7 +445,7 @@ class NormalChat:
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def _check_ban_regex(text: str, chat: ChatStream, userinfo: UserInfo) -> bool:
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"""检查消息是否匹配过滤正则表达式"""
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stream_name = chat_manager.get_stream_name(chat.stream_id) or chat.stream_id
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for pattern in global_config.ban_msgs_regex:
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for pattern in global_config.chat.ban_msgs_regex:
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if pattern.search(text):
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logger.info(
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f"[{stream_name}][{chat.group_info.group_name if chat.group_info else '私聊'}]"
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@@ -15,21 +15,22 @@ logger = get_logger("llm")
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class NormalChatGenerator:
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def __init__(self):
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# TODO: API-Adapter修改标记
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self.model_reasoning = LLMRequest(
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model=global_config.llm_reasoning,
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model=global_config.model.reasoning,
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temperature=0.7,
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max_tokens=3000,
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request_type="response_reasoning",
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)
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self.model_normal = LLMRequest(
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model=global_config.llm_normal,
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temperature=global_config.llm_normal["temp"],
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model=global_config.model.normal,
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temperature=global_config.model.normal["temp"],
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max_tokens=256,
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request_type="response_reasoning",
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)
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self.model_sum = LLMRequest(
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model=global_config.llm_summary, temperature=0.7, max_tokens=3000, request_type="relation"
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model=global_config.model.summary, temperature=0.7, max_tokens=3000, request_type="relation"
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)
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self.current_model_type = "r1" # 默认使用 R1
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self.current_model_name = "unknown model"
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@@ -37,7 +38,7 @@ class NormalChatGenerator:
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async def generate_response(self, message: MessageThinking, thinking_id: str) -> Optional[Union[str, List[str]]]:
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"""根据当前模型类型选择对应的生成函数"""
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# 从global_config中获取模型概率值并选择模型
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if random.random() < global_config.model_reasoning_probability:
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if random.random() < global_config.normal_chat.reasoning_model_probability:
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self.current_model_type = "深深地"
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current_model = self.model_reasoning
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else:
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@@ -51,7 +52,7 @@ class NormalChatGenerator:
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model_response = await self._generate_response_with_model(message, current_model, thinking_id)
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if model_response:
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logger.info(f"{global_config.BOT_NICKNAME}的回复是:{model_response}")
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logger.info(f"{global_config.bot.nickname}的回复是:{model_response}")
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model_response = await self._process_response(model_response)
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return model_response
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@@ -113,7 +114,7 @@ class NormalChatGenerator:
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- "中立":不表达明确立场或无关回应
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2. 从"开心,愤怒,悲伤,惊讶,平静,害羞,恐惧,厌恶,困惑"中选出最匹配的1个情感标签
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3. 按照"立场-情绪"的格式直接输出结果,例如:"反对-愤怒"
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4. 考虑回复者的人格设定为{global_config.personality_core}
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4. 考虑回复者的人格设定为{global_config.personality.personality_core}
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对话示例:
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被回复:「A就是笨」
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@@ -1,18 +1,20 @@
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import asyncio
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from src.config.config import global_config
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from .willing_manager import BaseWillingManager
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class ClassicalWillingManager(BaseWillingManager):
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def __init__(self):
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super().__init__()
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self._decay_task: asyncio.Task = None
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self._decay_task: asyncio.Task | None = None
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async def _decay_reply_willing(self):
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"""定期衰减回复意愿"""
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while True:
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await asyncio.sleep(1)
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for chat_id in self.chat_reply_willing:
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self.chat_reply_willing[chat_id] = max(0, self.chat_reply_willing[chat_id] * 0.9)
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self.chat_reply_willing[chat_id] = max(0.0, self.chat_reply_willing[chat_id] * 0.9)
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async def async_task_starter(self):
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if self._decay_task is None:
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@@ -23,35 +25,33 @@ class ClassicalWillingManager(BaseWillingManager):
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chat_id = willing_info.chat_id
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current_willing = self.chat_reply_willing.get(chat_id, 0)
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interested_rate = willing_info.interested_rate * self.global_config.response_interested_rate_amplifier
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interested_rate = willing_info.interested_rate * global_config.normal_chat.response_interested_rate_amplifier
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if interested_rate > 0.4:
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current_willing += interested_rate - 0.3
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if willing_info.is_mentioned_bot and current_willing < 1.0:
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current_willing += 1
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elif willing_info.is_mentioned_bot:
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current_willing += 0.05
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if willing_info.is_mentioned_bot:
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current_willing += 1 if current_willing < 1.0 else 0.05
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is_emoji_not_reply = False
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if willing_info.is_emoji:
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if self.global_config.emoji_response_penalty != 0:
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current_willing *= self.global_config.emoji_response_penalty
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if global_config.normal_chat.emoji_response_penalty != 0:
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current_willing *= global_config.normal_chat.emoji_response_penalty
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else:
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is_emoji_not_reply = True
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self.chat_reply_willing[chat_id] = min(current_willing, 3.0)
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reply_probability = min(
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max((current_willing - 0.5), 0.01) * self.global_config.response_willing_amplifier * 2, 1
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max((current_willing - 0.5), 0.01) * global_config.normal_chat.response_willing_amplifier * 2, 1
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)
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# 检查群组权限(如果是群聊)
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if (
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willing_info.group_info
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and willing_info.group_info.group_id in self.global_config.talk_frequency_down_groups
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and willing_info.group_info.group_id in global_config.chat_target.talk_frequency_down_groups
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):
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reply_probability = reply_probability / self.global_config.down_frequency_rate
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reply_probability = reply_probability / global_config.normal_chat.down_frequency_rate
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if is_emoji_not_reply:
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reply_probability = 0
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@@ -61,7 +61,7 @@ class ClassicalWillingManager(BaseWillingManager):
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async def before_generate_reply_handle(self, message_id):
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chat_id = self.ongoing_messages[message_id].chat_id
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current_willing = self.chat_reply_willing.get(chat_id, 0)
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self.chat_reply_willing[chat_id] = max(0, current_willing - 1.8)
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self.chat_reply_willing[chat_id] = max(0.0, current_willing - 1.8)
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async def after_generate_reply_handle(self, message_id):
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if message_id not in self.ongoing_messages:
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@@ -70,7 +70,7 @@ class ClassicalWillingManager(BaseWillingManager):
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chat_id = self.ongoing_messages[message_id].chat_id
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current_willing = self.chat_reply_willing.get(chat_id, 0)
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if current_willing < 1:
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self.chat_reply_willing[chat_id] = min(1, current_willing + 0.4)
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self.chat_reply_willing[chat_id] = min(1.0, current_willing + 0.4)
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async def bombing_buffer_message_handle(self, message_id):
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return await super().bombing_buffer_message_handle(message_id)
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@@ -19,6 +19,7 @@ Mxp 模式:梦溪畔独家赞助
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下下策是询问一个菜鸟(@梦溪畔)
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"""
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from src.config.config import global_config
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from .willing_manager import BaseWillingManager
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from typing import Dict
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import asyncio
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@@ -50,8 +51,6 @@ class MxpWillingManager(BaseWillingManager):
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self.mention_willing_gain = 0.6 # 提及意愿增益
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self.interest_willing_gain = 0.3 # 兴趣意愿增益
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self.emoji_response_penalty = self.global_config.emoji_response_penalty # 表情包回复惩罚
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self.down_frequency_rate = self.global_config.down_frequency_rate # 降低回复频率的群组惩罚系数
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self.single_chat_gain = 0.12 # 单聊增益
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self.fatigue_messages_triggered_num = self.expected_replies_per_min # 疲劳消息触发数量(int)
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@@ -179,10 +178,10 @@ class MxpWillingManager(BaseWillingManager):
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probability = self._willing_to_probability(current_willing)
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if w_info.is_emoji:
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probability *= self.emoji_response_penalty
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probability *= global_config.normal_chat.emoji_response_penalty
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if w_info.group_info and w_info.group_info.group_id in self.global_config.talk_frequency_down_groups:
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probability /= self.down_frequency_rate
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if w_info.group_info and w_info.group_info.group_id in global_config.chat_target.talk_frequency_down_groups:
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probability /= global_config.normal_chat.down_frequency_rate
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self.temporary_willing = current_willing
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@@ -1,6 +1,6 @@
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from src.common.logger import LogConfig, WILLING_STYLE_CONFIG, LoguruLogger, get_module_logger
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from dataclasses import dataclass
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from src.config.config import global_config, BotConfig
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from src.config.config import global_config
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from src.chat.message_receive.chat_stream import ChatStream, GroupInfo
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from src.chat.message_receive.message import MessageRecv
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from src.chat.person_info.person_info import person_info_manager, PersonInfoManager
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@@ -93,7 +93,6 @@ class BaseWillingManager(ABC):
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self.chat_reply_willing: Dict[str, float] = {} # 存储每个聊天流的回复意愿(chat_id)
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self.ongoing_messages: Dict[str, WillingInfo] = {} # 当前正在进行的消息(message_id)
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self.lock = asyncio.Lock()
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self.global_config: BotConfig = global_config
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self.logger: LoguruLogger = logger
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def setup(self, message: MessageRecv, chat: ChatStream, is_mentioned_bot: bool, interested_rate: float):
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@@ -173,7 +172,7 @@ def init_willing_manager() -> BaseWillingManager:
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Returns:
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对应mode的WillingManager实例
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"""
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mode = global_config.willing_mode.lower()
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mode = global_config.normal_chat.willing_mode.lower()
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return BaseWillingManager.create(mode)
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