mirror of https://github.com/Mai-with-u/MaiBot.git
remove：移除情绪功能
SengokuCola
parent
d7cf57f48e
commit
eb86d3ed43
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@ -7,7 +7,6 @@ from maim_message import UserInfo, Seg, GroupInfo
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from src.common.logger import get_logger
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from src.config.config import global_config
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from src.mood.mood_manager import mood_manager # 导入情绪管理器
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from src.chat.message_receive.chat_stream import get_chat_manager
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from src.chat.message_receive.message import MessageRecv
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from src.chat.message_receive.storage import MessageStorage
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@ -73,7 +72,6 @@ class ChatBot:
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def __init__(self):
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self.bot = None # bot 实例引用
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self._started = False
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self.mood_manager = mood_manager # 获取情绪管理器单例
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self.heartflow_message_receiver = HeartFCMessageReceiver() # 新增
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async def _ensure_started(self):
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@ -18,7 +18,6 @@ from src.chat.message_receive.uni_message_sender import UniversalMessageSender
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from src.chat.utils.timer_calculator import Timer # <--- Import Timer
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from src.chat.utils.utils import get_chat_type_and_target_info
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from src.chat.utils.prompt_builder import global_prompt_manager
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from src.mood.mood_manager import mood_manager
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from src.chat.utils.chat_message_builder import (
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build_readable_messages,
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get_raw_msg_before_timestamp_with_chat,
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@ -272,12 +271,6 @@ class DefaultReplyer:
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return f"{expression_habits_title}\n{expression_habits_block}", selected_ids
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async def build_mood_state_prompt(self) -> str:
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"""构建情绪状态提示"""
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if not global_config.mood.enable_mood:
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return ""
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mood_state = await mood_manager.get_mood_by_chat_id(self.chat_stream.stream_id).get_mood()
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return f"你现在的心情是：{mood_state}"
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async def build_tool_info(self, chat_history: str, sender: str, target: str, enable_tool: bool = True) -> str:
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"""构建工具信息块
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@ -800,7 +793,6 @@ class DefaultReplyer:
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self._time_and_run_task(self.get_prompt_info(chat_talking_prompt_short, sender, target), "prompt_info"),
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self._time_and_run_task(self.build_actions_prompt(available_actions, chosen_actions), "actions_info"),
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self._time_and_run_task(self.build_personality_prompt(), "personality_prompt"),
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self._time_and_run_task(self.build_mood_state_prompt(), "mood_state_prompt"),
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self._time_and_run_task(
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build_memory_retrieval_prompt(
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chat_talking_prompt_short, sender, target, self.chat_stream, self.tool_executor
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@ -821,7 +813,6 @@ class DefaultReplyer:
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"prompt_info": "获取知识",
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"actions_info": "动作信息",
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"personality_prompt": "人格信息",
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"mood_state_prompt": "情绪状态",
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"memory_retrieval": "记忆检索",
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"jargon_explanation": "黑话解释",
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}
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@ -851,7 +842,6 @@ class DefaultReplyer:
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personality_prompt: str = results_dict["personality_prompt"]
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memory_retrieval: str = results_dict["memory_retrieval"]
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keywords_reaction_prompt = await self.build_keywords_reaction_prompt(target)
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mood_state_prompt: str = results_dict["mood_state_prompt"]
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jargon_explanation: str = results_dict.get("jargon_explanation") or ""
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# 从 chosen_actions 中提取 planner 的整体思考理由
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@ -900,7 +890,6 @@ class DefaultReplyer:
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tool_info_block=tool_info,
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bot_name=global_config.bot.nickname,
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knowledge_prompt=prompt_info,
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mood_state=mood_state_prompt,
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# relation_info_block=relation_info,
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extra_info_block=extra_info_block,
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jargon_explanation=jargon_explanation,
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@ -25,7 +25,6 @@ from src.chat.utils.chat_message_builder import (
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)
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from src.express.expression_selector import expression_selector
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from src.plugin_system.apis.message_api import translate_pid_to_description
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from src.mood.mood_manager import mood_manager
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# from src.memory_system.memory_activator import MemoryActivator
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@ -287,12 +286,6 @@ class PrivateReplyer:
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return f"{expression_habits_title}\n{expression_habits_block}", selected_ids
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async def build_mood_state_prompt(self) -> str:
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"""构建情绪状态提示"""
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if not global_config.mood.enable_mood:
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return ""
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mood_state = await mood_manager.get_mood_by_chat_id(self.chat_stream.stream_id).get_mood()
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return f"你现在的心情是：{mood_state}"
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async def build_tool_info(self, chat_history: str, sender: str, target: str, enable_tool: bool = True) -> str:
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"""构建工具信息块
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@ -721,7 +714,6 @@ class PrivateReplyer:
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self._time_and_run_task(self.get_prompt_info(chat_talking_prompt_short, sender, target), "prompt_info"),
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self._time_and_run_task(self.build_actions_prompt(available_actions, chosen_actions), "actions_info"),
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self._time_and_run_task(self.build_personality_prompt(), "personality_prompt"),
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self._time_and_run_task(self.build_mood_state_prompt(), "mood_state_prompt"),
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self._time_and_run_task(
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build_memory_retrieval_prompt(
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chat_talking_prompt_short, sender, target, self.chat_stream, self.tool_executor
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@ -742,7 +734,6 @@ class PrivateReplyer:
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"prompt_info": "获取知识",
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"actions_info": "动作信息",
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"personality_prompt": "人格信息",
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"mood_state_prompt": "情绪状态",
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"memory_retrieval": "记忆检索",
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"jargon_explanation": "黑话解释",
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}
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@ -770,7 +761,6 @@ class PrivateReplyer:
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prompt_info: str = results_dict["prompt_info"] # 直接使用格式化后的结果
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actions_info: str = results_dict["actions_info"]
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personality_prompt: str = results_dict["personality_prompt"]
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mood_state_prompt: str = results_dict["mood_state_prompt"]
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memory_retrieval: str = results_dict["memory_retrieval"]
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keywords_reaction_prompt = await self.build_keywords_reaction_prompt(target)
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jargon_explanation: str = results_dict.get("jargon_explanation") or ""
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@ -814,7 +804,6 @@ class PrivateReplyer:
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expression_habits_block=expression_habits_block,
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tool_info_block=tool_info,
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knowledge_prompt=prompt_info,
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mood_state=mood_state_prompt,
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relation_info_block=relation_info,
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extra_info_block=extra_info_block,
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identity=personality_prompt,
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@ -837,7 +826,6 @@ class PrivateReplyer:
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expression_habits_block=expression_habits_block,
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tool_info_block=tool_info,
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knowledge_prompt=prompt_info,
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mood_state=mood_state_prompt,
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relation_info_block=relation_info,
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extra_info_block=extra_info_block,
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identity=personality_prompt,
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@ -18,7 +18,7 @@ def init_replyer_prompt():
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{reply_target_block}。
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{planner_reasoning}
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{identity}
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{chat_prompt}你正在群里聊天,现在请你读读之前的聊天记录，然后给出日常且口语化的回复，平淡一些，{mood_state}
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{chat_prompt}你正在群里聊天,现在请你读读之前的聊天记录，然后给出日常且口语化的回复，平淡一些，
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尽量简短一些。{keywords_reaction_prompt}请注意把握聊天内容，不要回复的太有条理。
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{reply_style}
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请注意不要输出多余内容(包括前后缀，冒号和引号，括号，表情等)，只输出一句回复内容就好。
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@ -38,7 +38,7 @@ def init_replyer_prompt():
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{reply_target_block}。
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{planner_reasoning}
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{identity}
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{chat_prompt}你正在和{sender_name}聊天,现在请你读读之前的聊天记录，然后给出日常且口语化的回复，平淡一些，{mood_state}
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{chat_prompt}你正在和{sender_name}聊天,现在请你读读之前的聊天记录，然后给出日常且口语化的回复，平淡一些，
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尽量简短一些。{keywords_reaction_prompt}请注意把握聊天内容，不要回复的太有条理。
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{reply_style}
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请注意不要输出多余内容(包括前后缀，冒号和引号，括号，表情等)，只输出回复内容。
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@ -55,7 +55,7 @@ def init_replyer_prompt():
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{dialogue_prompt}
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你现在想补充说明你刚刚自己的发言内容：{target}，原因是{reason}
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请你根据聊天内容，组织一条新回复。注意，{target} 是刚刚你自己的发言，你要在这基础上进一步发言，请按照你自己的角度来继续进行回复。注意保持上下文的连贯性。{mood_state}
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请你根据聊天内容，组织一条新回复。注意，{target} 是刚刚你自己的发言，你要在这基础上进一步发言，请按照你自己的角度来继续进行回复。注意保持上下文的连贯性。
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{identity}
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{chat_prompt}尽量简短一些。{keywords_reaction_prompt}请注意把握聊天内容，不要回复的太有条理，可以有个性。
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{reply_style}
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@ -592,22 +592,41 @@ def _fix_table_constraints(table_name, model, constraints_to_fix):
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db.execute_sql(f"CREATE TABLE {backup_table} AS SELECT * FROM {table_name}")
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logger.info(f"已创建备份表 '{backup_table}'")
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# 2. 删除原表
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# 2. 获取原始行数（在删除表之前）
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original_count = db.execute_sql(f"SELECT COUNT(*) FROM {backup_table}").fetchone()[0]
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logger.info(f"备份表 '{backup_table}' 包含 {original_count} 行数据")
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# 3. 删除原表
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db.execute_sql(f"DROP TABLE {table_name}")
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logger.info(f"已删除原表 '{table_name}'")
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# 3. 重新创建表（使用当前模型定义）
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# 4. 重新创建表（使用当前模型定义）
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db.create_tables([model])
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logger.info(f"已重新创建表 '{table_name}' 使用新的约束")
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# 4. 从备份表恢复数据
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# 获取字段列表
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# 5. 从备份表恢复数据
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# 获取字段列表，排除主键字段（让数据库自动生成新的主键）
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fields = list(model._meta.fields.keys())
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fields_str = ", ".join(fields)
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# Peewee 默认使用 'id' 作为主键字段名
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# 尝试获取主键字段名，如果获取失败则默认使用 'id'
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primary_key_name = 'id' # 默认值
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try:
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if hasattr(model._meta, 'primary_key') and model._meta.primary_key:
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if hasattr(model._meta.primary_key, 'name'):
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primary_key_name = model._meta.primary_key.name
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elif isinstance(model._meta.primary_key, str):
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primary_key_name = model._meta.primary_key
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except Exception:
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pass # 如果获取失败，使用默认值 'id'
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# 对于需要从 NOT NULL 改为 NULL 的字段，直接复制数据
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# 对于需要从 NULL 改为 NOT NULL 的字段，需要处理 NULL 值
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insert_sql = f"INSERT INTO {table_name} ({fields_str}) SELECT {fields_str} FROM {backup_table}"
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# 如果字段列表包含主键，则排除它
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if primary_key_name in fields:
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fields_without_pk = [f for f in fields if f != primary_key_name]
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logger.info(f"排除主键字段 '{primary_key_name}'，让数据库自动生成新的主键")
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else:
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fields_without_pk = fields
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fields_str = ", ".join(fields_without_pk)
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# 检查是否有字段需要从 NULL 改为 NOT NULL
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null_to_notnull_fields = [
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@ -620,7 +639,7 @@ def _fix_table_constraints(table_name, model, constraints_to_fix):
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# 构建更复杂的 SELECT 语句来处理 NULL 值
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select_fields = []
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for field_name in fields:
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for field_name in fields_without_pk:
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if field_name in null_to_notnull_fields:
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field_obj = model._meta.fields[field_name]
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# 根据字段类型设置默认值
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@ -641,12 +660,13 @@ def _fix_table_constraints(table_name, model, constraints_to_fix):
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select_str = ", ".join(select_fields)
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insert_sql = f"INSERT INTO {table_name} ({fields_str}) SELECT {select_str} FROM {backup_table}"
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else:
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# 没有需要处理 NULL 的字段，直接复制数据（排除主键）
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insert_sql = f"INSERT INTO {table_name} ({fields_str}) SELECT {fields_str} FROM {backup_table}"
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db.execute_sql(insert_sql)
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logger.info(f"已从备份表恢复数据到 '{table_name}'")
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# 5. 验证数据完整性
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original_count = db.execute_sql(f"SELECT COUNT(*) FROM {backup_table}").fetchone()[0]
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new_count = db.execute_sql(f"SELECT COUNT(*) FROM {table_name}").fetchone()[0]
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if original_count == new_count:
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@ -31,7 +31,6 @@ from src.config.official_configs import (
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RelationshipConfig,
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ToolConfig,
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VoiceConfig,
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MoodConfig,
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MemoryConfig,
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DebugConfig,
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JargonConfig,
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@ -58,7 +57,7 @@ TEMPLATE_DIR = os.path.join(PROJECT_ROOT, "template")
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# 考虑到，实际上配置文件中的mai_version是不会自动更新的,所以采用硬编码
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# 对该字段的更新，请严格参照语义化版本规范：https://semver.org/lang/zh-CN/
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MMC_VERSION = "0.11.7-snapshot.1"
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MMC_VERSION = "0.12.0-snapshot.1"
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def get_key_comment(toml_table, key):
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@ -355,7 +354,6 @@ class Config(ConfigBase):
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tool: ToolConfig
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memory: MemoryConfig
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debug: DebugConfig
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mood: MoodConfig
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voice: VoiceConfig
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jargon: JargonConfig
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dream: DreamConfig
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@ -469,20 +469,6 @@ class ToolConfig(ConfigBase):
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"""是否在聊天中启用工具"""
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@dataclass
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class MoodConfig(ConfigBase):
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"""情绪配置类"""
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enable_mood: bool = True
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"""是否启用情绪系统"""
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mood_update_threshold: float = 1
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"""情绪更新阈值,越高，更新越慢"""
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emotion_style: str = "情绪较为稳定，但遭遇特定事件的时候起伏较大"
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"""情感特征，影响情绪的变化情况"""
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@dataclass
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class VoiceConfig(ConfigBase):
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"""语音识别配置类"""
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@ -13,7 +13,6 @@ from src.config.config import global_config
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from src.chat.message_receive.bot import chat_bot
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from src.common.logger import get_logger
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from src.common.server import get_global_server, Server
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from src.mood.mood_manager import mood_manager
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from src.chat.knowledge import lpmm_start_up
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from rich.traceback import install
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@ -126,10 +125,6 @@ class MainSystem:
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get_emoji_manager().initialize()
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logger.info("表情包管理器初始化成功")
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# 启动情绪管理器
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if global_config.mood.enable_mood:
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await mood_manager.start()
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logger.info("情绪管理器初始化成功")
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# 初始化聊天管理器
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await get_chat_manager()._initialize()
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@ -1,230 +0,0 @@
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import time
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from src.common.logger import get_logger
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from src.config.config import global_config, model_config
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from src.chat.message_receive.chat_stream import get_chat_manager
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from src.chat.utils.prompt_builder import Prompt, global_prompt_manager
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from src.chat.utils.chat_message_builder import build_readable_messages, get_raw_msg_by_timestamp_with_chat_inclusive
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from src.llm_models.utils_model import LLMRequest
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from src.manager.async_task_manager import AsyncTask, async_task_manager
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logger = get_logger("mood")
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def init_prompt():
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Prompt(
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"""
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{chat_talking_prompt}
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以上是群里正在进行的聊天记录
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{identity_block}
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你先前的情绪状态是：{mood_state}
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你的情绪特点是:{emotion_style}
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现在，请你根据先前的情绪状态和现在的聊天内容，总结推断你现在的情绪状态，用简短的词句来描述情绪状态
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请只输出新的情绪状态，不要输出其他内容：
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""",
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"get_mood_prompt",
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)
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Prompt(
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"""
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{chat_talking_prompt}
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以上是群里最近的聊天记录
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{identity_block}
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你之前的情绪状态是：{mood_state}
|
||||
|
||||
距离你上次关注群里消息已经过去了一段时间，你冷静了下来，请你输出一句话或几个词来描述你现在的情绪状态
|
||||
你的情绪特点是:{emotion_style}
|
||||
请只输出新的情绪状态，不要输出其他内容：
|
||||
""",
|
||||
"regress_mood_prompt",
|
||||
)
|
||||
|
||||
|
||||
class ChatMood:
|
||||
def __init__(self, chat_id: str):
|
||||
self.chat_id: str = chat_id
|
||||
|
||||
chat_manager = get_chat_manager()
|
||||
self.chat_stream = chat_manager.get_stream(self.chat_id)
|
||||
|
||||
if not self.chat_stream:
|
||||
raise ValueError(f"Chat stream for chat_id {chat_id} not found")
|
||||
|
||||
self.log_prefix = f"[{self.chat_stream.group_info.group_name if self.chat_stream.group_info else self.chat_stream.user_info.user_nickname}]"
|
||||
|
||||
self.mood_state: str = "感觉很平静"
|
||||
|
||||
self.regression_count: int = 0
|
||||
|
||||
self.mood_model = LLMRequest(model_set=model_config.model_task_config.utils, request_type="mood")
|
||||
|
||||
self.last_change_time: float = 0
|
||||
|
||||
async def get_mood(self) -> str:
|
||||
self.regression_count = 0
|
||||
|
||||
current_time = time.time()
|
||||
|
||||
logger.info(f"{self.log_prefix} 获取情绪状态")
|
||||
message_list_before_now = get_raw_msg_by_timestamp_with_chat_inclusive(
|
||||
chat_id=self.chat_id,
|
||||
timestamp_start=self.last_change_time,
|
||||
timestamp_end=current_time,
|
||||
limit=int(global_config.chat.max_context_size / 3),
|
||||
limit_mode="last",
|
||||
)
|
||||
|
||||
chat_talking_prompt = build_readable_messages(
|
||||
message_list_before_now,
|
||||
replace_bot_name=True,
|
||||
timestamp_mode="normal_no_YMD",
|
||||
read_mark=0.0,
|
||||
truncate=True,
|
||||
show_actions=True,
|
||||
)
|
||||
|
||||
bot_name = global_config.bot.nickname
|
||||
if global_config.bot.alias_names:
|
||||
bot_nickname = f",也有人叫你{','.join(global_config.bot.alias_names)}"
|
||||
else:
|
||||
bot_nickname = ""
|
||||
|
||||
identity_block = f"你的名字是{bot_name}{bot_nickname}"
|
||||
|
||||
prompt = await global_prompt_manager.format_prompt(
|
||||
"get_mood_prompt",
|
||||
chat_talking_prompt=chat_talking_prompt,
|
||||
identity_block=identity_block,
|
||||
mood_state=self.mood_state,
|
||||
emotion_style=global_config.mood.emotion_style,
|
||||
)
|
||||
|
||||
response, (reasoning_content, _, _) = await self.mood_model.generate_response_async(
|
||||
prompt=prompt, temperature=0.7
|
||||
)
|
||||
if global_config.debug.show_prompt:
|
||||
logger.info(f"{self.log_prefix} prompt: {prompt}")
|
||||
logger.info(f"{self.log_prefix} response: {response}")
|
||||
logger.info(f"{self.log_prefix} reasoning_content: {reasoning_content}")
|
||||
|
||||
logger.info(f"{self.log_prefix} 情绪状态更新为: {response}")
|
||||
|
||||
self.mood_state = response
|
||||
|
||||
self.last_change_time = current_time
|
||||
|
||||
return response
|
||||
|
||||
async def regress_mood(self):
|
||||
message_time = time.time()
|
||||
message_list_before_now = get_raw_msg_by_timestamp_with_chat_inclusive(
|
||||
chat_id=self.chat_id,
|
||||
timestamp_start=self.last_change_time,
|
||||
timestamp_end=message_time,
|
||||
limit=15,
|
||||
limit_mode="last",
|
||||
)
|
||||
|
||||
chat_talking_prompt = build_readable_messages(
|
||||
message_list_before_now,
|
||||
replace_bot_name=True,
|
||||
timestamp_mode="normal_no_YMD",
|
||||
read_mark=0.0,
|
||||
truncate=True,
|
||||
show_actions=True,
|
||||
)
|
||||
|
||||
bot_name = global_config.bot.nickname
|
||||
if global_config.bot.alias_names:
|
||||
bot_nickname = f",也有人叫你{','.join(global_config.bot.alias_names)}"
|
||||
else:
|
||||
bot_nickname = ""
|
||||
|
||||
identity_block = f"你的名字是{bot_name}{bot_nickname}"
|
||||
|
||||
prompt = await global_prompt_manager.format_prompt(
|
||||
"regress_mood_prompt",
|
||||
chat_talking_prompt=chat_talking_prompt,
|
||||
identity_block=identity_block,
|
||||
mood_state=self.mood_state,
|
||||
emotion_style=global_config.mood.emotion_style,
|
||||
)
|
||||
|
||||
response, (reasoning_content, _, _) = await self.mood_model.generate_response_async(
|
||||
prompt=prompt, temperature=0.7
|
||||
)
|
||||
|
||||
if global_config.debug.show_prompt:
|
||||
logger.info(f"{self.log_prefix} prompt: {prompt}")
|
||||
logger.info(f"{self.log_prefix} response: {response}")
|
||||
logger.info(f"{self.log_prefix} reasoning_content: {reasoning_content}")
|
||||
|
||||
logger.info(f"{self.log_prefix} 情绪状态转变为: {response}")
|
||||
|
||||
self.mood_state = response
|
||||
|
||||
self.regression_count += 1
|
||||
|
||||
|
||||
class MoodRegressionTask(AsyncTask):
|
||||
def __init__(self, mood_manager: "MoodManager"):
|
||||
super().__init__(task_name="MoodRegressionTask", run_interval=45)
|
||||
self.mood_manager = mood_manager
|
||||
|
||||
async def run(self):
|
||||
logger.debug("开始情绪回归任务...")
|
||||
now = time.time()
|
||||
for mood in self.mood_manager.mood_list:
|
||||
if mood.last_change_time == 0:
|
||||
continue
|
||||
|
||||
if now - mood.last_change_time > 200:
|
||||
if mood.regression_count >= 2:
|
||||
continue
|
||||
|
||||
logger.debug(f"{mood.log_prefix} 开始情绪回归, 第 {mood.regression_count + 1} 次")
|
||||
await mood.regress_mood()
|
||||
|
||||
|
||||
class MoodManager:
|
||||
def __init__(self):
|
||||
self.mood_list: list[ChatMood] = []
|
||||
"""当前情绪状态"""
|
||||
self.task_started: bool = False
|
||||
|
||||
async def start(self):
|
||||
"""启动情绪回归后台任务"""
|
||||
if self.task_started:
|
||||
return
|
||||
|
||||
task = MoodRegressionTask(self)
|
||||
await async_task_manager.add_task(task)
|
||||
self.task_started = True
|
||||
logger.info("情绪回归任务已启动")
|
||||
|
||||
def get_mood_by_chat_id(self, chat_id: str) -> ChatMood:
|
||||
for mood in self.mood_list:
|
||||
if mood.chat_id == chat_id:
|
||||
return mood
|
||||
|
||||
new_mood = ChatMood(chat_id)
|
||||
self.mood_list.append(new_mood)
|
||||
return new_mood
|
||||
|
||||
def reset_mood_by_chat_id(self, chat_id: str):
|
||||
for mood in self.mood_list:
|
||||
if mood.chat_id == chat_id:
|
||||
mood.mood_state = "感觉很平静"
|
||||
mood.regression_count = 0
|
||||
return
|
||||
self.mood_list.append(ChatMood(chat_id))
|
||||
|
||||
|
||||
init_prompt()
|
||||
|
||||
mood_manager = MoodManager()
|
||||
"""全局情绪管理器"""
|
||||
|
|
@ -19,7 +19,6 @@ from src.plugin_system.apis import (
|
|||
send_api,
|
||||
tool_api,
|
||||
frequency_api,
|
||||
mood_api,
|
||||
auto_talk_api,
|
||||
)
|
||||
from .logging_api import get_logger
|
||||
|
|
@ -42,6 +41,5 @@ __all__ = [
|
|||
"register_plugin",
|
||||
"tool_api",
|
||||
"frequency_api",
|
||||
"mood_api",
|
||||
"auto_talk_api",
|
||||
]
|
||||
|
|
|
|||
|
|
@ -1,13 +0,0 @@
|
|||
import asyncio
|
||||
from typing import Optional
|
||||
|
||||
from src.common.logger import get_logger
|
||||
from src.mood.mood_manager import mood_manager
|
||||
|
||||
logger = get_logger("mood_api")
|
||||
|
||||
|
||||
async def get_mood_by_chat_id(chat_id: str) -> Optional[float]:
|
||||
chat_mood = mood_manager.get_mood_by_chat_id(chat_id)
|
||||
mood = asyncio.create_task(chat_mood.get_mood())
|
||||
return mood
|
||||
|
|
@ -29,7 +29,6 @@ from src.config.official_configs import (
|
|||
ToolConfig,
|
||||
MemoryConfig,
|
||||
DebugConfig,
|
||||
MoodConfig,
|
||||
VoiceConfig,
|
||||
JargonConfig,
|
||||
)
|
||||
|
|
@ -104,7 +103,6 @@ async def get_config_section_schema(section_name: str):
|
|||
- tool: ToolConfig
|
||||
- memory: MemoryConfig
|
||||
- debug: DebugConfig
|
||||
- mood: MoodConfig
|
||||
- voice: VoiceConfig
|
||||
- jargon: JargonConfig
|
||||
- model_task_config: ModelTaskConfig
|
||||
|
|
@ -130,7 +128,6 @@ async def get_config_section_schema(section_name: str):
|
|||
"tool": ToolConfig,
|
||||
"memory": MemoryConfig,
|
||||
"debug": DebugConfig,
|
||||
"mood": MoodConfig,
|
||||
"voice": VoiceConfig,
|
||||
"jargon": JargonConfig,
|
||||
"model_task_config": ModelTaskConfig,
|
||||
|
|
|
|||
|
|
@ -296,7 +296,6 @@ class ConfigSchemaGenerator:
|
|||
"plan_style",
|
||||
"visual_style",
|
||||
"private_plan_style",
|
||||
"emotion_style",
|
||||
"reaction",
|
||||
"filtration_prompt",
|
||||
]:
|
||||
|
|
|
|||
|
|
@ -137,11 +137,6 @@ all_global = true # 是否开启全局黑话模式，注意，此功能关闭后
|
|||
[tool]
|
||||
enable_tool = true # 是否启用工具
|
||||
|
||||
[mood]
|
||||
enable_mood = false # 是否启用情绪系统
|
||||
mood_update_threshold = 1 # 情绪更新阈值,越高，更新越慢
|
||||
# 情感特征，影响情绪的变化情况
|
||||
emotion_style = "情绪较为稳定，但遭遇特定事件的时候起伏较大"
|
||||
|
||||
[emoji]
|
||||
emoji_chance = 0.4 # 麦麦激活表情包动作的概率
|
||||
|
|
|
|||
Loading…
Reference in New Issue