362 lines
14 KiB
Python
362 lines
14 KiB
Python
import ast
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import json
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import os
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import hashlib
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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.llm_models.utils_model import LLMRequest
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from src.person_info.person_info import get_person_info_manager
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from rich.traceback import install
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from .personality import Personality
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install(extra_lines=3)
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logger = get_logger("individuality")
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class Individuality:
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"""个体特征管理类"""
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def __init__(self):
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# 正常初始化实例属性
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self.personality: Personality = None # type: ignore
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self.name = ""
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self.bot_person_id = ""
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self.meta_info_file_path = "data/personality/meta.json"
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self.model = LLMRequest(
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model=global_config.model.utils,
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request_type="individuality.compress",
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)
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async def initialize(self) -> None:
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"""初始化个体特征
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Args:
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bot_nickname: 机器人昵称
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personality_core: 人格核心特点
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personality_side: 人格侧面描述
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identity: 身份细节描述
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"""
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bot_nickname = global_config.bot.nickname
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personality_core = global_config.personality.personality_core
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personality_side = global_config.personality.personality_side
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identity = global_config.personality.identity
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logger.info("正在初始化个体特征")
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person_info_manager = get_person_info_manager()
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self.bot_person_id = person_info_manager.get_person_id("system", "bot_id")
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self.name = bot_nickname
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# 检查配置变化，如果变化则清空
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personality_changed, identity_changed = await self._check_config_and_clear_if_changed(
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bot_nickname, personality_core, personality_side, identity
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)
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# 初始化人格（现在包含身份）
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self.personality = Personality.initialize(
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bot_nickname=bot_nickname,
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personality_core=personality_core,
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personality_side=personality_side,
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identity=identity,
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compress_personality=global_config.personality.compress_personality,
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compress_identity=global_config.personality.compress_identity,
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)
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logger.info("正在将所有人设写入impression")
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# 将所有人设写入impression
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impression_parts = []
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if personality_core:
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impression_parts.append(f"核心人格: {personality_core}")
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if personality_side:
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impression_parts.append(f"人格侧面: {personality_side}")
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if identity:
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impression_parts.append(f"身份: {identity}")
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logger.info(f"impression_parts: {impression_parts}")
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impression_text = "。".join(impression_parts)
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if impression_text:
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impression_text += "。"
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if impression_text:
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update_data = {
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"platform": "system",
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"user_id": "bot_id",
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"person_name": self.name,
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"nickname": self.name,
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}
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await person_info_manager.update_one_field(
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self.bot_person_id, "impression", impression_text, data=update_data
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)
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logger.debug("已将完整人设更新到bot的impression中")
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# 根据变化情况决定是否重新创建
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personality_result = None
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identity_result = None
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if personality_changed:
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logger.info("检测到人格配置变化，重新生成压缩版本")
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personality_result = await self._create_personality(personality_core, personality_side)
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else:
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logger.info("人格配置未变化，使用缓存版本")
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# 从缓存中获取已有的personality结果
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existing_short_impression = await person_info_manager.get_value(self.bot_person_id, "short_impression")
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if existing_short_impression:
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try:
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existing_data = ast.literal_eval(existing_short_impression) # type: ignore
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if isinstance(existing_data, list) and len(existing_data) >= 1:
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personality_result = existing_data[0]
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except (json.JSONDecodeError, TypeError, IndexError):
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logger.warning("无法解析现有的short_impression，将重新生成人格部分")
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personality_result = await self._create_personality(personality_core, personality_side)
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else:
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logger.info("未找到现有的人格缓存，重新生成")
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personality_result = await self._create_personality(personality_core, personality_side)
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if identity_changed:
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logger.info("检测到身份配置变化，重新生成压缩版本")
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identity_result = await self._create_identity(identity)
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else:
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logger.info("身份配置未变化，使用缓存版本")
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# 从缓存中获取已有的identity结果
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existing_short_impression = await person_info_manager.get_value(self.bot_person_id, "short_impression")
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if existing_short_impression:
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try:
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existing_data = ast.literal_eval(existing_short_impression) # type: ignore
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if isinstance(existing_data, list) and len(existing_data) >= 2:
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identity_result = existing_data[1]
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except (json.JSONDecodeError, TypeError, IndexError):
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logger.warning("无法解析现有的short_impression，将重新生成身份部分")
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identity_result = await self._create_identity(identity)
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else:
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logger.info("未找到现有的身份缓存，重新生成")
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identity_result = await self._create_identity(identity)
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result = [personality_result, identity_result]
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# 更新short_impression字段
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if personality_result and identity_result:
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person_info_manager = get_person_info_manager()
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await person_info_manager.update_one_field(self.bot_person_id, "short_impression", result)
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logger.info("已将人设构建")
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else:
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logger.error("人设构建失败")
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async def get_personality_block(self) -> str:
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person_info_manager = get_person_info_manager()
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bot_person_id = person_info_manager.get_person_id("system", "bot_id")
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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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short_impression = await person_info_manager.get_value(bot_person_id, "short_impression")
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# 解析字符串形式的Python列表
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try:
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if isinstance(short_impression, str) and short_impression.strip():
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short_impression = ast.literal_eval(short_impression)
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elif not short_impression:
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logger.warning("short_impression为空，使用默认值")
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short_impression = ["友好活泼", "人类"]
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except (ValueError, SyntaxError) as e:
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logger.error(f"解析short_impression失败: {e}, 原始值: {short_impression}")
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short_impression = ["友好活泼", "人类"]
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# 确保short_impression是列表格式且有足够的元素
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if not isinstance(short_impression, list) or len(short_impression) < 2:
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logger.warning(f"short_impression格式不正确: {short_impression}, 使用默认值")
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short_impression = ["友好活泼", "人类"]
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personality = short_impression[0]
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identity = short_impression[1]
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prompt_personality = f"{personality}，{identity}"
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identity_block = f"你的名字是{bot_name}{bot_nickname}，你{prompt_personality}："
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return identity_block
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def _get_config_hash(
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self, bot_nickname: str, personality_core: str, personality_side: str, identity: list
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) -> tuple[str, str]:
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"""获取personality和identity配置的哈希值
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Returns:
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tuple: (personality_hash, identity_hash)
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"""
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# 人格配置哈希
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personality_config = {
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"nickname": bot_nickname,
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"personality_core": personality_core,
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"personality_side": personality_side,
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"compress_personality": self.personality.compress_personality if self.personality else True,
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}
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personality_str = json.dumps(personality_config, sort_keys=True)
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personality_hash = hashlib.md5(personality_str.encode("utf-8")).hexdigest()
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# 身份配置哈希
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identity_config = {
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"identity": sorted(identity),
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"compress_identity": self.personality.compress_identity if self.personality else True,
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}
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identity_str = json.dumps(identity_config, sort_keys=True)
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identity_hash = hashlib.md5(identity_str.encode("utf-8")).hexdigest()
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return personality_hash, identity_hash
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async def _check_config_and_clear_if_changed(
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self, bot_nickname: str, personality_core: str, personality_side: str, identity: list
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) -> tuple[bool, bool]:
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"""检查配置是否发生变化，如果变化则清空相应缓存
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Returns:
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tuple: (personality_changed, identity_changed)
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"""
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person_info_manager = get_person_info_manager()
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current_personality_hash, current_identity_hash = self._get_config_hash(
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bot_nickname, personality_core, personality_side, identity
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)
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meta_info = self._load_meta_info()
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stored_personality_hash = meta_info.get("personality_hash")
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stored_identity_hash = meta_info.get("identity_hash")
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personality_changed = current_personality_hash != stored_personality_hash
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identity_changed = current_identity_hash != stored_identity_hash
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if personality_changed:
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logger.info("检测到人格配置发生变化")
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if identity_changed:
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logger.info("检测到身份配置发生变化")
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# 如果任何一个发生变化，都需要清空info_list（因为这影响整体人设）
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if personality_changed or identity_changed:
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logger.info("将清空原有的关键词缓存")
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update_data = {
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"platform": "system",
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"user_id": "bot_id",
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"person_name": self.name,
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"nickname": self.name,
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}
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await person_info_manager.update_one_field(self.bot_person_id, "info_list", [], data=update_data)
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# 更新元信息文件
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new_meta_info = {
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"personality_hash": current_personality_hash,
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"identity_hash": current_identity_hash,
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}
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self._save_meta_info(new_meta_info)
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return personality_changed, identity_changed
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def _load_meta_info(self) -> dict:
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"""从JSON文件中加载元信息"""
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if os.path.exists(self.meta_info_file_path):
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try:
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with open(self.meta_info_file_path, "r", encoding="utf-8") as f:
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return json.load(f)
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except (json.JSONDecodeError, IOError) as e:
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logger.error(f"读取meta_info文件失败: {e}, 将创建新文件。")
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return {}
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return {}
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def _save_meta_info(self, meta_info: dict):
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"""将元信息保存到JSON文件"""
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try:
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os.makedirs(os.path.dirname(self.meta_info_file_path), exist_ok=True)
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with open(self.meta_info_file_path, "w", encoding="utf-8") as f:
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json.dump(meta_info, f, ensure_ascii=False, indent=2)
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except IOError as e:
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logger.error(f"保存meta_info文件失败: {e}")
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async def _create_personality(self, personality_core: str, personality_side: str) -> str:
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# sourcery skip: merge-list-append, move-assign
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"""使用LLM创建压缩版本的impression
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Args:
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personality_core: 核心人格
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personality_side: 人格侧面列表
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Returns:
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str: 压缩后的impression文本
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"""
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logger.info("正在构建人格.........")
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# 核心人格保持不变
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personality_parts = []
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if personality_core:
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personality_parts.append(f"{personality_core}")
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# 准备需要压缩的内容
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if self.personality.compress_personality:
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personality_to_compress = f"人格特质: {personality_side}"
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prompt = f"""请将以下人格信息进行简洁压缩，保留主要内容，用简练的中文表达：
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{personality_to_compress}
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要求：
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1. 保持原意不变，尽量使用原文
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2. 尽量简洁，不超过30字
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3. 直接输出压缩后的内容，不要解释"""
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response, (_, _) = await self.model.generate_response_async(
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prompt=prompt,
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)
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if response.strip():
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personality_parts.append(response.strip())
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logger.info(f"精简人格侧面: {response.strip()}")
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else:
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logger.error(f"使用LLM压缩人设时出错: {response}")
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if personality_parts:
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personality_result = "。".join(personality_parts)
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else:
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personality_result = personality_core
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else:
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personality_result = personality_core
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if personality_side:
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personality_result += f"，{personality_side}"
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return personality_result
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async def _create_identity(self, identity: list) -> str:
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"""使用LLM创建压缩版本的impression"""
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logger.info("正在构建身份.........")
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if self.personality.compress_identity:
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identity_to_compress = f"身份背景: {identity}"
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prompt = f"""请将以下身份信息进行简洁压缩，保留主要内容，用简练的中文表达：
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{identity_to_compress}
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要求：
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1. 保持原意不变，尽量使用原文
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2. 尽量简洁，不超过30字
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3. 直接输出压缩后的内容，不要解释"""
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response, (_, _) = await self.model.generate_response_async(
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prompt=prompt,
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)
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if response.strip():
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identity_result = response.strip()
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logger.info(f"精简身份: {identity_result}")
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else:
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logger.error(f"使用LLM压缩身份时出错: {response}")
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else:
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identity_result = "。".join(identity)
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return identity_result
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individuality = None
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def get_individuality():
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global individuality
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if individuality is None:
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individuality = Individuality()
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return individuality
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