768 lines
37 KiB
Python
768 lines
37 KiB
Python
import os
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import re
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from dataclasses import dataclass, field
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from typing import Dict, List, Optional
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from dateutil import tz
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import tomli
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import tomlkit
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import shutil
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from datetime import datetime
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from pathlib import Path
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from packaging import version
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from packaging.version import Version, InvalidVersion
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from packaging.specifiers import SpecifierSet, InvalidSpecifier
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from src.common.logger_manager import get_logger
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# 配置主程序日志格式
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logger = get_logger("config")
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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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is_test = False
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mai_version_main = "0.6.3"
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mai_version_fix = "fix-1"
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if mai_version_fix:
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if is_test:
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mai_version = f"test-{mai_version_main}-{mai_version_fix}"
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else:
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mai_version = f"{mai_version_main}-{mai_version_fix}"
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else:
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if is_test:
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mai_version = f"test-{mai_version_main}"
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else:
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mai_version = mai_version_main
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def update_config():
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# 获取根目录路径
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root_dir = Path(__file__).parent.parent.parent
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template_dir = root_dir / "template"
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config_dir = root_dir / "config"
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old_config_dir = config_dir / "old"
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# 定义文件路径
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template_path = template_dir / "bot_config_template.toml"
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old_config_path = config_dir / "bot_config.toml"
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new_config_path = config_dir / "bot_config.toml"
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# 检查配置文件是否存在
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if not old_config_path.exists():
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logger.info("配置文件不存在，从模板创建新配置")
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# 创建文件夹
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old_config_dir.mkdir(parents=True, exist_ok=True)
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shutil.copy2(template_path, old_config_path)
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logger.info(f"已创建新配置文件，请填写后重新运行: {old_config_path}")
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# 如果是新创建的配置文件,直接返回
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return quit()
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# 读取旧配置文件和模板文件
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with open(old_config_path, "r", encoding="utf-8") as f:
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old_config = tomlkit.load(f)
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with open(template_path, "r", encoding="utf-8") as f:
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new_config = tomlkit.load(f)
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# 检查version是否相同
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if old_config and "inner" in old_config and "inner" in new_config:
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old_version = old_config["inner"].get("version")
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new_version = new_config["inner"].get("version")
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if old_version and new_version and old_version == new_version:
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logger.info(f"检测到配置文件版本号相同 (v{old_version})，跳过更新")
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return
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else:
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logger.info(f"检测到版本号不同: 旧版本 v{old_version} -> 新版本 v{new_version}")
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# 创建old目录（如果不存在）
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old_config_dir.mkdir(exist_ok=True)
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# 生成带时间戳的新文件名
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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old_backup_path = old_config_dir / f"bot_config_{timestamp}.toml"
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# 移动旧配置文件到old目录
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shutil.move(old_config_path, old_backup_path)
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logger.info(f"已备份旧配置文件到: {old_backup_path}")
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# 复制模板文件到配置目录
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shutil.copy2(template_path, new_config_path)
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logger.info(f"已创建新配置文件: {new_config_path}")
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# 递归更新配置
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def update_dict(target, source):
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for key, value in source.items():
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# 跳过version字段的更新
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if key == "version":
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continue
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if key in target:
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if isinstance(value, dict) and isinstance(target[key], (dict, tomlkit.items.Table)):
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update_dict(target[key], value)
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else:
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try:
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# 对数组类型进行特殊处理
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if isinstance(value, list):
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# 如果是空数组，确保它保持为空数组
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if not value:
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target[key] = tomlkit.array()
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else:
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target[key] = tomlkit.array(value)
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else:
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# 其他类型使用item方法创建新值
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target[key] = tomlkit.item(value)
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except (TypeError, ValueError):
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# 如果转换失败，直接赋值
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target[key] = value
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# 将旧配置的值更新到新配置中
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logger.info("开始合并新旧配置...")
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update_dict(new_config, old_config)
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# 保存更新后的配置（保留注释和格式）
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with open(new_config_path, "w", encoding="utf-8") as f:
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f.write(tomlkit.dumps(new_config))
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logger.info("配置文件更新完成")
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@dataclass
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class BotConfig:
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"""机器人配置类"""
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INNER_VERSION: Version = None
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MAI_VERSION: str = mai_version # 硬编码的版本信息
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# bot
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BOT_QQ: Optional[str] = "114514"
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BOT_NICKNAME: Optional[str] = None
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BOT_ALIAS_NAMES: List[str] = field(default_factory=list) # 别名，可以通过这个叫它
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# group
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talk_allowed_groups = set()
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talk_frequency_down_groups = set()
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ban_user_id = set()
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# personality
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personality_core = "用一句话或几句话描述人格的核心特点" # 建议20字以内，谁再写3000字小作文敲谁脑袋
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personality_sides: List[str] = field(
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default_factory=lambda: [
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"用一句话或几句话描述人格的一些侧面",
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"用一句话或几句话描述人格的一些侧面",
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"用一句话或几句话描述人格的一些侧面",
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]
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)
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# identity
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identity_detail: List[str] = field(
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default_factory=lambda: [
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"身份特点",
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"身份特点",
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]
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)
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height: int = 170 # 身高 单位厘米
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weight: int = 50 # 体重 单位千克
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age: int = 20 # 年龄 单位岁
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gender: str = "男" # 性别
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appearance: str = "用几句话描述外貌特征" # 外貌特征
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# schedule
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ENABLE_SCHEDULE_GEN: bool = False # 是否启用日程生成
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PROMPT_SCHEDULE_GEN = "无日程"
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SCHEDULE_DOING_UPDATE_INTERVAL: int = 300 # 日程表更新间隔 单位秒
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SCHEDULE_TEMPERATURE: float = 0.5 # 日程表温度，建议0.5-1.0
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TIME_ZONE: str = "Asia/Shanghai" # 时区
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# chat
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allow_focus_mode: bool = True # 是否允许专注聊天状态
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base_normal_chat_num: int = 3 # 最多允许多少个群进行普通聊天
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base_focused_chat_num: int = 2 # 最多允许多少个群进行专注聊天
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observation_context_size: int = 12 # 心流观察到的最长上下文大小，超过这个值的上下文会被压缩
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message_buffer: bool = True # 消息缓冲器
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ban_words = set()
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ban_msgs_regex = set()
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# focus_chat
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reply_trigger_threshold: float = 3.0 # 心流聊天触发阈值，越低越容易触发
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default_decay_rate_per_second: float = 0.98 # 默认衰减率，越大衰减越慢
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consecutive_no_reply_threshold = 3
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compressed_length: int = 5 # 不能大于observation_context_size,心流上下文压缩的最短压缩长度，超过心流观察到的上下文长度，会压缩，最短压缩长度为5
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compress_length_limit: int = 5 # 最多压缩份数，超过该数值的压缩上下文会被删除
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# normal_chat
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model_reasoning_probability: float = 0.7 # 麦麦回答时选择推理模型(主要)模型概率
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model_normal_probability: float = 0.3 # 麦麦回答时选择一般模型(次要)模型概率
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emoji_chance: float = 0.2 # 发送表情包的基础概率
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thinking_timeout: int = 120 # 思考时间
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willing_mode: str = "classical" # 意愿模式
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response_willing_amplifier: float = 1.0 # 回复意愿放大系数
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response_interested_rate_amplifier: float = 1.0 # 回复兴趣度放大系数
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down_frequency_rate: float = 3 # 降低回复频率的群组回复意愿降低系数
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emoji_response_penalty: float = 0.0 # 表情包回复惩罚
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mentioned_bot_inevitable_reply: bool = False # 提及 bot 必然回复
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at_bot_inevitable_reply: bool = False # @bot 必然回复
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# emoji
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max_emoji_num: int = 200 # 表情包最大数量
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max_reach_deletion: bool = True # 开启则在达到最大数量时删除表情包，关闭则不会继续收集表情包
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EMOJI_CHECK_INTERVAL: int = 120 # 表情包检查间隔（分钟）
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save_pic: bool = False # 是否保存图片
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save_emoji: bool = False # 是否保存表情包
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steal_emoji: bool = True # 是否偷取表情包，让麦麦可以发送她保存的这些表情包
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EMOJI_CHECK: bool = False # 是否开启过滤
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EMOJI_CHECK_PROMPT: str = "符合公序良俗" # 表情包过滤要求
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# memory
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build_memory_interval: int = 600 # 记忆构建间隔（秒）
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memory_build_distribution: list = field(
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default_factory=lambda: [4, 2, 0.6, 24, 8, 0.4]
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) # 记忆构建分布，参数：分布1均值，标准差，权重，分布2均值，标准差，权重
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build_memory_sample_num: int = 10 # 记忆构建采样数量
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build_memory_sample_length: int = 20 # 记忆构建采样长度
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memory_compress_rate: float = 0.1 # 记忆压缩率
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forget_memory_interval: int = 600 # 记忆遗忘间隔（秒）
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memory_forget_time: int = 24 # 记忆遗忘时间（小时）
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memory_forget_percentage: float = 0.01 # 记忆遗忘比例
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consolidate_memory_interval: int = 1000 # 记忆整合间隔（秒）
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consolidation_similarity_threshold: float = 0.7 # 相似度阈值
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consolidate_memory_percentage: float = 0.01 # 检查节点比例
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memory_ban_words: list = field(
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default_factory=lambda: ["表情包", "图片", "回复", "聊天记录"]
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) # 添加新的配置项默认值
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# mood
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mood_update_interval: float = 1.0 # 情绪更新间隔 单位秒
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mood_decay_rate: float = 0.95 # 情绪衰减率
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mood_intensity_factor: float = 0.7 # 情绪强度因子
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# keywords
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keywords_reaction_rules = [] # 关键词回复规则
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# chinese_typo
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chinese_typo_enable = True # 是否启用中文错别字生成器
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chinese_typo_error_rate = 0.03 # 单字替换概率
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chinese_typo_min_freq = 7 # 最小字频阈值
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chinese_typo_tone_error_rate = 0.2 # 声调错误概率
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chinese_typo_word_replace_rate = 0.02 # 整词替换概率
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# response_splitter
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enable_kaomoji_protection = False # 是否启用颜文字保护
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enable_response_splitter = True # 是否启用回复分割器
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response_max_length = 100 # 回复允许的最大长度
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response_max_sentence_num = 3 # 回复允许的最大句子数
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model_max_output_length: int = 800 # 最大回复长度
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# remote
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remote_enable: bool = True # 是否启用远程控制
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# experimental
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enable_friend_chat: bool = False # 是否启用好友聊天
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# enable_think_flow: bool = False # 是否启用思考流程
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enable_pfc_chatting: bool = False # 是否启用PFC聊天
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# 模型配置
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llm_reasoning: Dict[str, str] = field(default_factory=lambda: {})
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# llm_reasoning_minor: Dict[str, str] = field(default_factory=lambda: {})
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llm_normal: Dict[str, str] = field(default_factory=lambda: {})
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llm_topic_judge: Dict[str, str] = field(default_factory=lambda: {})
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llm_summary: Dict[str, str] = field(default_factory=lambda: {})
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embedding: Dict[str, str] = field(default_factory=lambda: {})
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vlm: Dict[str, str] = field(default_factory=lambda: {})
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moderation: Dict[str, str] = field(default_factory=lambda: {})
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llm_observation: Dict[str, str] = field(default_factory=lambda: {})
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llm_sub_heartflow: Dict[str, str] = field(default_factory=lambda: {})
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llm_heartflow: Dict[str, str] = field(default_factory=lambda: {})
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llm_tool_use: Dict[str, str] = field(default_factory=lambda: {})
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llm_plan: Dict[str, str] = field(default_factory=lambda: {})
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api_urls: Dict[str, str] = field(default_factory=lambda: {})
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@staticmethod
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def get_config_dir() -> str:
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"""获取配置文件目录"""
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current_dir = os.path.dirname(os.path.abspath(__file__))
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root_dir = os.path.abspath(os.path.join(current_dir, "..", ".."))
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config_dir = os.path.join(root_dir, "config")
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if not os.path.exists(config_dir):
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os.makedirs(config_dir)
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return config_dir
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@classmethod
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def convert_to_specifierset(cls, value: str) -> SpecifierSet:
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"""将 字符串 版本表达式转换成 SpecifierSet
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Args:
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value[str]: 版本表达式(字符串)
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Returns:
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SpecifierSet
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"""
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try:
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converted = SpecifierSet(value)
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except InvalidSpecifier:
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logger.error(f"{value} 分类使用了错误的版本约束表达式\n", "请阅读 https://semver.org/lang/zh-CN/ 修改代码")
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exit(1)
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return converted
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@classmethod
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def get_config_version(cls, toml: dict) -> Version:
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"""提取配置文件的 SpecifierSet 版本数据
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Args:
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toml[dict]: 输入的配置文件字典
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Returns:
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Version
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"""
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if "inner" in toml:
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try:
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config_version: str = toml["inner"]["version"]
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except KeyError as e:
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logger.error("配置文件中 inner 段 不存在, 这是错误的配置文件")
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raise KeyError(f"配置文件中 inner 段 不存在 {e}, 这是错误的配置文件") from e
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else:
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toml["inner"] = {"version": "0.0.0"}
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config_version = toml["inner"]["version"]
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try:
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ver = version.parse(config_version)
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except InvalidVersion as e:
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logger.error(
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"配置文件中 inner段 的 version 键是错误的版本描述\n"
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"请阅读 https://semver.org/lang/zh-CN/ 修改配置，并参考本项目指定的模板进行修改\n"
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"本项目在不同的版本下有不同的模板，请注意识别"
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)
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raise InvalidVersion("配置文件中 inner段 的 version 键是错误的版本描述\n") from e
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return ver
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@classmethod
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def load_config(cls, config_path: str = None) -> "BotConfig":
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"""从TOML配置文件加载配置"""
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config = cls()
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def personality(parent: dict):
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personality_config = parent["personality"]
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if config.INNER_VERSION in SpecifierSet(">=1.2.4"):
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config.personality_core = personality_config.get("personality_core", config.personality_core)
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config.personality_sides = personality_config.get("personality_sides", config.personality_sides)
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def identity(parent: dict):
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identity_config = parent["identity"]
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if config.INNER_VERSION in SpecifierSet(">=1.2.4"):
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config.identity_detail = identity_config.get("identity_detail", config.identity_detail)
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config.height = identity_config.get("height", config.height)
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config.weight = identity_config.get("weight", config.weight)
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config.age = identity_config.get("age", config.age)
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config.gender = identity_config.get("gender", config.gender)
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config.appearance = identity_config.get("appearance", config.appearance)
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def schedule(parent: dict):
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schedule_config = parent["schedule"]
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config.ENABLE_SCHEDULE_GEN = schedule_config.get("enable_schedule_gen", config.ENABLE_SCHEDULE_GEN)
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config.PROMPT_SCHEDULE_GEN = schedule_config.get("prompt_schedule_gen", config.PROMPT_SCHEDULE_GEN)
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config.SCHEDULE_DOING_UPDATE_INTERVAL = schedule_config.get(
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"schedule_doing_update_interval", config.SCHEDULE_DOING_UPDATE_INTERVAL
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)
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logger.info(
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f"载入自定义日程prompt:{schedule_config.get('prompt_schedule_gen', config.PROMPT_SCHEDULE_GEN)}"
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)
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if config.INNER_VERSION in SpecifierSet(">=1.0.2"):
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config.SCHEDULE_TEMPERATURE = schedule_config.get("schedule_temperature", config.SCHEDULE_TEMPERATURE)
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time_zone = schedule_config.get("time_zone", config.TIME_ZONE)
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if tz.gettz(time_zone) is None:
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logger.error(f"无效的时区: {time_zone}，使用默认值: {config.TIME_ZONE}")
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else:
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config.TIME_ZONE = time_zone
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|
||
def emoji(parent: dict):
|
||
emoji_config = parent["emoji"]
|
||
config.EMOJI_CHECK_INTERVAL = emoji_config.get("check_interval", config.EMOJI_CHECK_INTERVAL)
|
||
config.EMOJI_CHECK_PROMPT = emoji_config.get("check_prompt", config.EMOJI_CHECK_PROMPT)
|
||
config.EMOJI_CHECK = emoji_config.get("enable_check", config.EMOJI_CHECK)
|
||
if config.INNER_VERSION in SpecifierSet(">=1.1.1"):
|
||
config.max_emoji_num = emoji_config.get("max_emoji_num", config.max_emoji_num)
|
||
config.max_reach_deletion = emoji_config.get("max_reach_deletion", config.max_reach_deletion)
|
||
if config.INNER_VERSION in SpecifierSet(">=1.4.2"):
|
||
config.save_pic = emoji_config.get("save_pic", config.save_pic)
|
||
config.save_emoji = emoji_config.get("save_emoji", config.save_emoji)
|
||
config.steal_emoji = emoji_config.get("steal_emoji", config.steal_emoji)
|
||
|
||
def bot(parent: dict):
|
||
# 机器人基础配置
|
||
bot_config = parent["bot"]
|
||
bot_qq = bot_config.get("qq")
|
||
config.BOT_QQ = str(bot_qq)
|
||
config.BOT_NICKNAME = bot_config.get("nickname", config.BOT_NICKNAME)
|
||
config.BOT_ALIAS_NAMES = bot_config.get("alias_names", config.BOT_ALIAS_NAMES)
|
||
|
||
def chat(parent: dict):
|
||
chat_config = parent["chat"]
|
||
config.allow_focus_mode = chat_config.get("allow_focus_mode", config.allow_focus_mode)
|
||
config.base_normal_chat_num = chat_config.get("base_normal_chat_num", config.base_normal_chat_num)
|
||
config.base_focused_chat_num = chat_config.get("base_focused_chat_num", config.base_focused_chat_num)
|
||
config.observation_context_size = chat_config.get(
|
||
"observation_context_size", config.observation_context_size
|
||
)
|
||
config.message_buffer = chat_config.get("message_buffer", config.message_buffer)
|
||
config.ban_words = chat_config.get("ban_words", config.ban_words)
|
||
for r in chat_config.get("ban_msgs_regex", config.ban_msgs_regex):
|
||
config.ban_msgs_regex.add(re.compile(r))
|
||
|
||
def normal_chat(parent: dict):
|
||
normal_chat_config = parent["normal_chat"]
|
||
config.model_reasoning_probability = normal_chat_config.get(
|
||
"model_reasoning_probability", config.model_reasoning_probability
|
||
)
|
||
config.model_normal_probability = normal_chat_config.get(
|
||
"model_normal_probability", config.model_normal_probability
|
||
)
|
||
config.emoji_chance = normal_chat_config.get("emoji_chance", config.emoji_chance)
|
||
config.thinking_timeout = normal_chat_config.get("thinking_timeout", config.thinking_timeout)
|
||
|
||
config.willing_mode = normal_chat_config.get("willing_mode", config.willing_mode)
|
||
config.response_willing_amplifier = normal_chat_config.get(
|
||
"response_willing_amplifier", config.response_willing_amplifier
|
||
)
|
||
config.response_interested_rate_amplifier = normal_chat_config.get(
|
||
"response_interested_rate_amplifier", config.response_interested_rate_amplifier
|
||
)
|
||
config.down_frequency_rate = normal_chat_config.get("down_frequency_rate", config.down_frequency_rate)
|
||
config.emoji_response_penalty = normal_chat_config.get(
|
||
"emoji_response_penalty", config.emoji_response_penalty
|
||
)
|
||
|
||
config.mentioned_bot_inevitable_reply = normal_chat_config.get(
|
||
"mentioned_bot_inevitable_reply", config.mentioned_bot_inevitable_reply
|
||
)
|
||
config.at_bot_inevitable_reply = normal_chat_config.get(
|
||
"at_bot_inevitable_reply", config.at_bot_inevitable_reply
|
||
)
|
||
|
||
def focus_chat(parent: dict):
|
||
focus_chat_config = parent["focus_chat"]
|
||
config.compressed_length = focus_chat_config.get("compressed_length", config.compressed_length)
|
||
config.compress_length_limit = focus_chat_config.get("compress_length_limit", config.compress_length_limit)
|
||
config.reply_trigger_threshold = focus_chat_config.get(
|
||
"reply_trigger_threshold", config.reply_trigger_threshold
|
||
)
|
||
config.default_decay_rate_per_second = focus_chat_config.get(
|
||
"default_decay_rate_per_second", config.default_decay_rate_per_second
|
||
)
|
||
config.consecutive_no_reply_threshold = focus_chat_config.get(
|
||
"consecutive_no_reply_threshold", config.consecutive_no_reply_threshold
|
||
)
|
||
|
||
def model(parent: dict):
|
||
# 加载模型配置
|
||
model_config: dict = parent["model"]
|
||
|
||
config_list = [
|
||
"llm_reasoning",
|
||
# "llm_reasoning_minor",
|
||
"llm_normal",
|
||
"llm_topic_judge",
|
||
"llm_summary",
|
||
"vlm",
|
||
"embedding",
|
||
"llm_tool_use",
|
||
"llm_observation",
|
||
"llm_sub_heartflow",
|
||
"llm_plan",
|
||
"llm_heartflow",
|
||
"llm_PFC_action_planner",
|
||
"llm_PFC_chat",
|
||
"llm_PFC_reply_checker",
|
||
]
|
||
|
||
for item in config_list:
|
||
if item in model_config:
|
||
cfg_item: dict = model_config[item]
|
||
|
||
# base_url 的例子： SILICONFLOW_BASE_URL
|
||
# key 的例子： SILICONFLOW_KEY
|
||
cfg_target = {
|
||
"name": "",
|
||
"base_url": "",
|
||
"key": "",
|
||
"stream": False,
|
||
"pri_in": 0,
|
||
"pri_out": 0,
|
||
"temp": 0.7,
|
||
}
|
||
|
||
if config.INNER_VERSION in SpecifierSet("<=0.0.0"):
|
||
cfg_target = cfg_item
|
||
|
||
elif config.INNER_VERSION in SpecifierSet(">=0.0.1"):
|
||
stable_item = ["name", "pri_in", "pri_out"]
|
||
|
||
stream_item = ["stream"]
|
||
if config.INNER_VERSION in SpecifierSet(">=1.0.1"):
|
||
stable_item.append("stream")
|
||
|
||
pricing_item = ["pri_in", "pri_out"]
|
||
|
||
# 从配置中原始拷贝稳定字段
|
||
for i in stable_item:
|
||
# 如果 字段 属于计费项 且获取不到，那默认值是 0
|
||
if i in pricing_item and i not in cfg_item:
|
||
cfg_target[i] = 0
|
||
|
||
if i in stream_item and i not in cfg_item:
|
||
cfg_target[i] = False
|
||
|
||
else:
|
||
# 没有特殊情况则原样复制
|
||
try:
|
||
cfg_target[i] = cfg_item[i]
|
||
except KeyError as e:
|
||
logger.error(f"{item} 中的必要字段不存在，请检查")
|
||
raise KeyError(f"{item} 中的必要字段 {e} 不存在，请检查") from e
|
||
|
||
# 如果配置中有temp参数，就使用配置中的值
|
||
if "temp" in cfg_item:
|
||
cfg_target["temp"] = cfg_item["temp"]
|
||
else:
|
||
# 如果没有temp参数，就删除默认值
|
||
cfg_target.pop("temp", None)
|
||
|
||
provider = cfg_item.get("provider")
|
||
if provider is None:
|
||
logger.error(f"provider 字段在模型配置 {item} 中不存在，请检查")
|
||
raise KeyError(f"provider 字段在模型配置 {item} 中不存在，请检查")
|
||
|
||
cfg_target["base_url"] = f"{provider}_BASE_URL"
|
||
cfg_target["key"] = f"{provider}_KEY"
|
||
|
||
# 如果 列表中的项目在 model_config 中，利用反射来设置对应项目
|
||
setattr(config, item, cfg_target)
|
||
else:
|
||
logger.error(f"模型 {item} 在config中不存在，请检查，或尝试更新配置文件")
|
||
raise KeyError(f"模型 {item} 在config中不存在，请检查，或尝试更新配置文件")
|
||
|
||
def memory(parent: dict):
|
||
memory_config = parent["memory"]
|
||
config.build_memory_interval = memory_config.get("build_memory_interval", config.build_memory_interval)
|
||
config.forget_memory_interval = memory_config.get("forget_memory_interval", config.forget_memory_interval)
|
||
config.memory_ban_words = set(memory_config.get("memory_ban_words", []))
|
||
config.memory_forget_time = memory_config.get("memory_forget_time", config.memory_forget_time)
|
||
config.memory_forget_percentage = memory_config.get(
|
||
"memory_forget_percentage", config.memory_forget_percentage
|
||
)
|
||
config.memory_compress_rate = memory_config.get("memory_compress_rate", config.memory_compress_rate)
|
||
if config.INNER_VERSION in SpecifierSet(">=0.0.11"):
|
||
config.memory_build_distribution = memory_config.get(
|
||
"memory_build_distribution", config.memory_build_distribution
|
||
)
|
||
config.build_memory_sample_num = memory_config.get(
|
||
"build_memory_sample_num", config.build_memory_sample_num
|
||
)
|
||
config.build_memory_sample_length = memory_config.get(
|
||
"build_memory_sample_length", config.build_memory_sample_length
|
||
)
|
||
if config.INNER_VERSION in SpecifierSet(">=1.5.1"):
|
||
config.consolidate_memory_interval = memory_config.get(
|
||
"consolidate_memory_interval", config.consolidate_memory_interval
|
||
)
|
||
config.consolidation_similarity_threshold = memory_config.get(
|
||
"consolidation_similarity_threshold", config.consolidation_similarity_threshold
|
||
)
|
||
config.consolidate_memory_percentage = memory_config.get(
|
||
"consolidate_memory_percentage", config.consolidate_memory_percentage
|
||
)
|
||
|
||
def remote(parent: dict):
|
||
remote_config = parent["remote"]
|
||
config.remote_enable = remote_config.get("enable", config.remote_enable)
|
||
|
||
def mood(parent: dict):
|
||
mood_config = parent["mood"]
|
||
config.mood_update_interval = mood_config.get("mood_update_interval", config.mood_update_interval)
|
||
config.mood_decay_rate = mood_config.get("mood_decay_rate", config.mood_decay_rate)
|
||
config.mood_intensity_factor = mood_config.get("mood_intensity_factor", config.mood_intensity_factor)
|
||
|
||
def keywords_reaction(parent: dict):
|
||
keywords_reaction_config = parent["keywords_reaction"]
|
||
if keywords_reaction_config.get("enable", False):
|
||
config.keywords_reaction_rules = keywords_reaction_config.get("rules", config.keywords_reaction_rules)
|
||
for rule in config.keywords_reaction_rules:
|
||
if rule.get("enable", False) and "regex" in rule:
|
||
rule["regex"] = [re.compile(r) for r in rule.get("regex", [])]
|
||
|
||
def chinese_typo(parent: dict):
|
||
chinese_typo_config = parent["chinese_typo"]
|
||
config.chinese_typo_enable = chinese_typo_config.get("enable", config.chinese_typo_enable)
|
||
config.chinese_typo_error_rate = chinese_typo_config.get("error_rate", config.chinese_typo_error_rate)
|
||
config.chinese_typo_min_freq = chinese_typo_config.get("min_freq", config.chinese_typo_min_freq)
|
||
config.chinese_typo_tone_error_rate = chinese_typo_config.get(
|
||
"tone_error_rate", config.chinese_typo_tone_error_rate
|
||
)
|
||
config.chinese_typo_word_replace_rate = chinese_typo_config.get(
|
||
"word_replace_rate", config.chinese_typo_word_replace_rate
|
||
)
|
||
|
||
def response_splitter(parent: dict):
|
||
response_splitter_config = parent["response_splitter"]
|
||
config.enable_response_splitter = response_splitter_config.get(
|
||
"enable_response_splitter", config.enable_response_splitter
|
||
)
|
||
config.response_max_length = response_splitter_config.get("response_max_length", config.response_max_length)
|
||
config.response_max_sentence_num = response_splitter_config.get(
|
||
"response_max_sentence_num", config.response_max_sentence_num
|
||
)
|
||
if config.INNER_VERSION in SpecifierSet(">=1.4.2"):
|
||
config.enable_kaomoji_protection = response_splitter_config.get(
|
||
"enable_kaomoji_protection", config.enable_kaomoji_protection
|
||
)
|
||
if config.INNER_VERSION in SpecifierSet(">=1.6.0"):
|
||
config.model_max_output_length = response_splitter_config.get(
|
||
"model_max_output_length", config.model_max_output_length
|
||
)
|
||
|
||
def groups(parent: dict):
|
||
groups_config = parent["groups"]
|
||
# config.talk_allowed_groups = set(groups_config.get("talk_allowed", []))
|
||
config.talk_allowed_groups = set(str(group) for group in groups_config.get("talk_allowed", []))
|
||
# config.talk_frequency_down_groups = set(groups_config.get("talk_frequency_down", []))
|
||
config.talk_frequency_down_groups = set(
|
||
str(group) for group in groups_config.get("talk_frequency_down", [])
|
||
)
|
||
# config.ban_user_id = set(groups_config.get("ban_user_id", []))
|
||
config.ban_user_id = set(str(user) for user in groups_config.get("ban_user_id", []))
|
||
|
||
def platforms(parent: dict):
|
||
platforms_config = parent["platforms"]
|
||
if platforms_config and isinstance(platforms_config, dict):
|
||
for k in platforms_config.keys():
|
||
config.api_urls[k] = platforms_config[k]
|
||
|
||
def experimental(parent: dict):
|
||
experimental_config = parent["experimental"]
|
||
config.enable_friend_chat = experimental_config.get("enable_friend_chat", config.enable_friend_chat)
|
||
# config.enable_think_flow = experimental_config.get("enable_think_flow", config.enable_think_flow)
|
||
if config.INNER_VERSION in SpecifierSet(">=1.1.0"):
|
||
config.enable_pfc_chatting = experimental_config.get("pfc_chatting", config.enable_pfc_chatting)
|
||
|
||
# 版本表达式：>=1.0.0,<2.0.0
|
||
# 允许字段：func: method, support: str, notice: str, necessary: bool
|
||
# 如果使用 notice 字段，在该组配置加载时，会展示该字段对用户的警示
|
||
# 例如："notice": "personality 将在 1.3.2 后被移除"，那么在有效版本中的用户就会虽然可以
|
||
# 正常执行程序，但是会看到这条自定义提示
|
||
|
||
# 版本格式：主版本号.次版本号.修订号，版本号递增规则如下：
|
||
# 主版本号：当你做了不兼容的 API 修改，
|
||
# 次版本号：当你做了向下兼容的功能性新增，
|
||
# 修订号：当你做了向下兼容的问题修正。
|
||
# 先行版本号及版本编译信息可以加到"主版本号.次版本号.修订号"的后面，作为延伸。
|
||
|
||
# 如果你做了break的修改，就应该改动主版本号
|
||
# 如果做了一个兼容修改，就不应该要求这个选项是必须的！
|
||
include_configs = {
|
||
"bot": {"func": bot, "support": ">=0.0.0"},
|
||
"groups": {"func": groups, "support": ">=0.0.0"},
|
||
"personality": {"func": personality, "support": ">=0.0.0"},
|
||
"identity": {"func": identity, "support": ">=1.2.4"},
|
||
"schedule": {"func": schedule, "support": ">=0.0.11", "necessary": False},
|
||
"emoji": {"func": emoji, "support": ">=0.0.0"},
|
||
"model": {"func": model, "support": ">=0.0.0"},
|
||
"memory": {"func": memory, "support": ">=0.0.0", "necessary": False},
|
||
"mood": {"func": mood, "support": ">=0.0.0"},
|
||
"remote": {"func": remote, "support": ">=0.0.10", "necessary": False},
|
||
"keywords_reaction": {"func": keywords_reaction, "support": ">=0.0.2", "necessary": False},
|
||
"chinese_typo": {"func": chinese_typo, "support": ">=0.0.3", "necessary": False},
|
||
"platforms": {"func": platforms, "support": ">=1.0.0"},
|
||
"response_splitter": {"func": response_splitter, "support": ">=0.0.11", "necessary": False},
|
||
"experimental": {"func": experimental, "support": ">=0.0.11", "necessary": False},
|
||
"chat": {"func": chat, "support": ">=1.6.0", "necessary": False},
|
||
"normal_chat": {"func": normal_chat, "support": ">=1.6.0", "necessary": False},
|
||
"focus_chat": {"func": focus_chat, "support": ">=1.6.0", "necessary": False},
|
||
}
|
||
|
||
# 原地修改，将 字符串版本表达式 转换成 版本对象
|
||
for key in include_configs:
|
||
item_support = include_configs[key]["support"]
|
||
include_configs[key]["support"] = cls.convert_to_specifierset(item_support)
|
||
|
||
if os.path.exists(config_path):
|
||
with open(config_path, "rb") as f:
|
||
try:
|
||
toml_dict = tomli.load(f)
|
||
except tomli.TOMLDecodeError as e:
|
||
logger.critical(f"配置文件bot_config.toml填写有误，请检查第{e.lineno}行第{e.colno}处：{e.msg}")
|
||
exit(1)
|
||
|
||
# 获取配置文件版本
|
||
config.INNER_VERSION = cls.get_config_version(toml_dict)
|
||
|
||
# 如果在配置中找到了需要的项，调用对应项的闭包函数处理
|
||
for key in include_configs:
|
||
if key in toml_dict:
|
||
group_specifierset: SpecifierSet = include_configs[key]["support"]
|
||
|
||
# 检查配置文件版本是否在支持范围内
|
||
if config.INNER_VERSION in group_specifierset:
|
||
# 如果版本在支持范围内，检查是否存在通知
|
||
if "notice" in include_configs[key]:
|
||
logger.warning(include_configs[key]["notice"])
|
||
|
||
include_configs[key]["func"](toml_dict)
|
||
|
||
else:
|
||
# 如果版本不在支持范围内，崩溃并提示用户
|
||
logger.error(
|
||
f"配置文件中的 '{key}' 字段的版本 ({config.INNER_VERSION}) 不在支持范围内。\n"
|
||
f"当前程序仅支持以下版本范围: {group_specifierset}"
|
||
)
|
||
raise InvalidVersion(f"当前程序仅支持以下版本范围: {group_specifierset}")
|
||
|
||
# 如果 necessary 项目存在，而且显式声明是 False，进入特殊处理
|
||
elif "necessary" in include_configs[key] and include_configs[key].get("necessary") is False:
|
||
# 通过 pass 处理的项虽然直接忽略也是可以的，但是为了不增加理解困难，依然需要在这里显式处理
|
||
if key == "keywords_reaction":
|
||
pass
|
||
|
||
else:
|
||
# 如果用户根本没有需要的配置项，提示缺少配置
|
||
logger.error(f"配置文件中缺少必需的字段: '{key}'")
|
||
raise KeyError(f"配置文件中缺少必需的字段: '{key}'")
|
||
|
||
# identity_detail字段非空检查
|
||
if not config.identity_detail:
|
||
logger.error("配置文件错误：[identity] 部分的 identity_detail 不能为空字符串")
|
||
raise ValueError("配置文件错误：[identity] 部分的 identity_detail 不能为空字符串")
|
||
|
||
logger.success(f"成功加载配置文件: {config_path}")
|
||
|
||
return config
|
||
|
||
|
||
# 获取配置文件路径
|
||
logger.info(f"MaiCore当前版本: {mai_version}")
|
||
update_config()
|
||
|
||
bot_config_floder_path = BotConfig.get_config_dir()
|
||
logger.info(f"正在品鉴配置文件目录: {bot_config_floder_path}")
|
||
|
||
bot_config_path = os.path.join(bot_config_floder_path, "bot_config.toml")
|
||
|
||
if os.path.exists(bot_config_path):
|
||
# 如果开发环境配置文件不存在，则使用默认配置文件
|
||
logger.info(f"异常的新鲜，异常的美味: {bot_config_path}")
|
||
else:
|
||
# 配置文件不存在
|
||
logger.error("配置文件不存在，请检查路径: {bot_config_path}")
|
||
raise FileNotFoundError(f"配置文件不存在: {bot_config_path}")
|
||
|
||
global_config = BotConfig.load_config(config_path=bot_config_path)
|