feat:s4u模式现在可以操控表情
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244
src/mais4u/mais4u_chat/body_emotion_action_manager.py
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244
src/mais4u/mais4u_chat/body_emotion_action_manager.py
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import json
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import math
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import random
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import time
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from src.chat.message_receive.message import MessageRecv
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from src.llm_models.utils_model import LLMRequest
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from src.common.logger import get_logger
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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.config.config import global_config
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from src.chat.utils.prompt_builder import Prompt, global_prompt_manager
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from src.manager.async_task_manager import AsyncTask, async_task_manager
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from json_repair import repair_json
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logger = get_logger("action")
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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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{indentify_block}
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你现在的动作状态是:
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- 手部:{hand_action}
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- 上半身:{upper_body_action}
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- 头部:{head_action}
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现在,因为你发送了消息,或者群里其他人发送了消息,引起了你的注意,你对其进行了阅读和思考,请你更新你的动作状态。
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请只按照以下json格式输出,描述你新的动作状态,每个动作一到三个中文词,确保每个字段都存在:
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{{
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"hand_action": "...",
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"upper_body_action": "...",
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"head_action": "..."
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}}
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""",
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"change_action_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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{indentify_block}
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你之前的动作状态是:
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- 手部:{hand_action}
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- 上半身:{upper_body_action}
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- 头部:{head_action}
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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,你的动作会趋于平缓或静止,请你输出你现在新的动作状态,用中文。
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请只按照以下json格式输出,描述你新的动作状态,每个动作一到三个词,确保每个字段都存在:
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{{
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"hand_action": "...",
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"upper_body_action": "...",
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"head_action": "..."
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}}
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""",
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"regress_action_prompt",
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)
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class ChatAction:
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def __init__(self, chat_id: str):
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self.chat_id: str = chat_id
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self.hand_action: str = "双手放在桌面"
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self.upper_body_action: str = "坐着"
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self.head_action: str = "注视摄像机"
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self.regression_count: int = 0
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self.action_model = LLMRequest(
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model=global_config.model.emotion,
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temperature=0.7,
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request_type="action",
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)
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self.last_change_time = 0
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async def update_action_by_message(self, message: MessageRecv):
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self.regression_count = 0
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message_time = message.message_info.time
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message_list_before_now = get_raw_msg_by_timestamp_with_chat_inclusive(
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chat_id=self.chat_id,
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timestamp_start=self.last_change_time,
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timestamp_end=message_time,
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limit=15,
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limit_mode="last",
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)
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chat_talking_prompt = build_readable_messages(
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message_list_before_now,
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replace_bot_name=True,
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merge_messages=False,
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timestamp_mode="normal_no_YMD",
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read_mark=0.0,
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truncate=True,
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show_actions=True,
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)
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bot_name = global_config.bot.nickname
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if global_config.bot.alias_names:
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bot_nickname = f",也有人叫你{','.join(global_config.bot.alias_names)}"
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else:
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bot_nickname = ""
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prompt_personality = global_config.personality.personality_core
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indentify_block = f"你的名字是{bot_name}{bot_nickname},你{prompt_personality}:"
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prompt = await global_prompt_manager.format_prompt(
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"change_action_prompt",
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chat_talking_prompt=chat_talking_prompt,
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indentify_block=indentify_block,
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hand_action=self.hand_action,
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upper_body_action=self.upper_body_action,
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head_action=self.head_action,
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)
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logger.info(f"prompt: {prompt}")
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response, (reasoning_content, model_name) = await self.action_model.generate_response_async(prompt=prompt)
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logger.info(f"response: {response}")
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logger.info(f"reasoning_content: {reasoning_content}")
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action_data = json.loads(repair_json(response))
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if action_data:
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self.hand_action = action_data.get("hand_action", self.hand_action)
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self.upper_body_action = action_data.get("upper_body_action", self.upper_body_action)
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self.head_action = action_data.get("head_action", self.head_action)
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self.last_change_time = message_time
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async def regress_action(self):
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message_time = time.time()
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message_list_before_now = get_raw_msg_by_timestamp_with_chat_inclusive(
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chat_id=self.chat_id,
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timestamp_start=self.last_change_time,
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timestamp_end=message_time,
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limit=15,
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limit_mode="last",
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)
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chat_talking_prompt = build_readable_messages(
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message_list_before_now,
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replace_bot_name=True,
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merge_messages=False,
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timestamp_mode="normal_no_YMD",
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read_mark=0.0,
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truncate=True,
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show_actions=True,
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)
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bot_name = global_config.bot.nickname
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if global_config.bot.alias_names:
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bot_nickname = f",也有人叫你{','.join(global_config.bot.alias_names)}"
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else:
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bot_nickname = ""
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prompt_personality = global_config.personality.personality_core
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indentify_block = f"你的名字是{bot_name}{bot_nickname},你{prompt_personality}:"
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prompt = await global_prompt_manager.format_prompt(
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"regress_action_prompt",
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chat_talking_prompt=chat_talking_prompt,
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indentify_block=indentify_block,
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hand_action=self.hand_action,
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upper_body_action=self.upper_body_action,
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head_action=self.head_action,
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)
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logger.info(f"prompt: {prompt}")
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response, (reasoning_content, model_name) = await self.action_model.generate_response_async(prompt=prompt)
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logger.info(f"response: {response}")
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logger.info(f"reasoning_content: {reasoning_content}")
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action_data = json.loads(repair_json(response))
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if action_data:
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self.hand_action = action_data.get("hand_action", self.hand_action)
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self.upper_body_action = action_data.get("upper_body_action", self.upper_body_action)
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self.head_action = action_data.get("head_action", self.head_action)
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self.regression_count += 1
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class ActionRegressionTask(AsyncTask):
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def __init__(self, action_manager: "ActionManager"):
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super().__init__(task_name="ActionRegressionTask", run_interval=30)
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self.action_manager = action_manager
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async def run(self):
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logger.debug("Running action regression task...")
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now = time.time()
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for action_state in self.action_manager.action_state_list:
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if action_state.last_change_time == 0:
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continue
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if now - action_state.last_change_time > 180:
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if action_state.regression_count >= 3:
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continue
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logger.info(f"chat {action_state.chat_id} 开始动作回归, 这是第 {action_state.regression_count + 1} 次")
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await action_state.regress_action()
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class ActionManager:
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def __init__(self):
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self.action_state_list: list[ChatAction] = []
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"""当前动作状态"""
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self.task_started: bool = False
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async def start(self):
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"""启动动作回归后台任务"""
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if self.task_started:
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return
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logger.info("启动动作回归任务...")
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task = ActionRegressionTask(self)
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await async_task_manager.add_task(task)
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self.task_started = True
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logger.info("动作回归任务已启动")
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def get_action_state_by_chat_id(self, chat_id: str) -> ChatAction:
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for action_state in self.action_state_list:
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if action_state.chat_id == chat_id:
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return action_state
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new_action_state = ChatAction(chat_id)
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self.action_state_list.append(new_action_state)
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return new_action_state
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def reset_action_state_by_chat_id(self, chat_id: str):
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for action_state in self.action_state_list:
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if action_state.chat_id == chat_id:
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action_state.hand_action = "双手放在桌面"
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action_state.upper_body_action = "坐着"
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action_state.head_action = "注视摄像机"
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action_state.regression_count = 0
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return
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self.action_state_list.append(ChatAction(chat_id))
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init_prompt()
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action_manager = ActionManager()
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"""全局动作管理器"""
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