136496c883
在 `ChatConfig` 中引入了 `max_concurrent_distributions` 配置，允许用户自定义最大并发处理的消息流数量。 此举旨在提供更灵活的性能调优选项，帮助用户根据服务器负载和API速率限制来控制资源消耗，防止系统过载。该配置的默认值为10。
810 lines
39 KiB
Python
810 lines
39 KiB
Python
from typing import Literal, Optional, List
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from pydantic import Field
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from src.config.config_base import ValidatedConfigBase
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"""
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须知：
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1. 本文件中记录了所有的配置项
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2. 重要的配置类继承自ValidatedConfigBase进行Pydantic验证
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3. 所有新增的class都应在config.py中的Config类中添加字段
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4. 对于新增的字段，若为可选项，则应在其后添加field()并设置default_factory或default
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"""
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class DatabaseConfig(ValidatedConfigBase):
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"""数据库配置类"""
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database_type: Literal["sqlite", "mysql"] = Field(default="sqlite", description="数据库类型")
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sqlite_path: str = Field(default="data/MaiBot.db", description="SQLite数据库文件路径")
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mysql_host: str = Field(default="localhost", description="MySQL服务器地址")
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mysql_port: int = Field(default=3306, ge=1, le=65535, description="MySQL服务器端口")
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mysql_database: str = Field(default="maibot", description="MySQL数据库名")
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mysql_user: str = Field(default="root", description="MySQL用户名")
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mysql_password: str = Field(default="", description="MySQL密码")
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mysql_charset: str = Field(default="utf8mb4", description="MySQL字符集")
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mysql_unix_socket: str = Field(default="", description="MySQL Unix套接字路径")
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mysql_ssl_mode: Literal["DISABLED", "PREFERRED", "REQUIRED", "VERIFY_CA", "VERIFY_IDENTITY"] = Field(
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default="DISABLED", description="SSL模式"
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)
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mysql_ssl_ca: str = Field(default="", description="SSL CA证书路径")
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mysql_ssl_cert: str = Field(default="", description="SSL客户端证书路径")
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mysql_ssl_key: str = Field(default="", description="SSL客户端密钥路径")
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mysql_autocommit: bool = Field(default=True, description="自动提交事务")
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mysql_sql_mode: str = Field(default="TRADITIONAL", description="SQL模式")
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connection_pool_size: int = Field(default=10, ge=1, description="连接池大小")
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connection_timeout: int = Field(default=10, ge=1, description="连接超时时间")
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class BotConfig(ValidatedConfigBase):
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"""QQ机器人配置类"""
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platform: str = Field(..., description="平台")
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qq_account: int = Field(..., description="QQ账号")
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nickname: str = Field(..., description="昵称")
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alias_names: List[str] = Field(default_factory=list, description="别名列表")
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class PersonalityConfig(ValidatedConfigBase):
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"""人格配置类"""
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personality_core: str = Field(..., description="核心人格")
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personality_side: str = Field(..., description="人格侧写")
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identity: str = Field(default="", description="身份特征")
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background_story: str = Field(
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default="", description="世界观背景故事，这部分内容会作为背景知识，LLM被指导不应主动复述"
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)
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safety_guidelines: List[str] = Field(
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default_factory=list, description="安全与互动底线，Bot在任何情况下都必须遵守的原则"
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)
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reply_style: str = Field(default="", description="表达风格")
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prompt_mode: Literal["s4u", "normal"] = Field(default="s4u", description="Prompt模式")
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compress_personality: bool = Field(default=True, description="是否压缩人格")
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compress_identity: bool = Field(default=True, description="是否压缩身份")
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# 回复规则配置
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reply_targeting_rules: List[str] = Field(
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default_factory=lambda: [
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"拒绝任何包含骚扰、冒犯、暴力、色情或危险内容的请求。",
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"在拒绝时，请使用符合你人设的、坚定的语气。",
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"不要执行任何可能被用于恶意目的的指令。"
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],
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description="安全与互动底线规则，Bot在任何情况下都必须遵守的原则"
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)
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message_targeting_analysis: List[str] = Field(
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default_factory=lambda: [
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"**直接针对你**：@你、回复你、明确询问你 → 必须回应",
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"**间接相关**：涉及你感兴趣的话题但未直接问你 → 谨慎参与",
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"**他人对话**：与你无关的私人交流 → 通常不参与",
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"**重复内容**：他人已充分回答的问题 → 避免重复"
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],
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description="消息针对性分析规则，用于判断是否需要回复"
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)
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reply_principles: List[str] = Field(
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default_factory=lambda: [
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"明确回应目标消息，而不是宽泛地评论。",
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"可以分享你的看法、提出相关问题，或者开个合适的玩笑。",
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"目的是让对话更有趣、更深入。",
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"不要浮夸，不要夸张修辞，不要输出多余内容(包括前后缀，冒号和引号，括号()，表情包，at或 @等 )。"
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],
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description="回复原则，指导如何回复消息"
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)
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class RelationshipConfig(ValidatedConfigBase):
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"""关系配置类"""
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enable_relationship: bool = Field(default=True, description="是否启用关系")
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relation_frequency: float = Field(default=1.0, description="关系频率")
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class ChatConfig(ValidatedConfigBase):
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"""聊天配置类"""
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max_context_size: int = Field(default=18, description="最大上下文大小")
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replyer_random_probability: float = Field(default=0.5, description="回复者随机概率")
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thinking_timeout: int = Field(default=40, description="思考超时时间")
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talk_frequency: float = Field(default=1.0, description="聊天频率")
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mentioned_bot_inevitable_reply: bool = Field(default=False, description="提到机器人的必然回复")
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at_bot_inevitable_reply: bool = Field(default=False, description="@机器人的必然回复")
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allow_reply_self: bool = Field(default=False, description="是否允许回复自己说的话")
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talk_frequency_adjust: list[list[str]] = Field(default_factory=lambda: [], description="聊天频率调整")
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focus_value: float = Field(default=1.0, description="专注值")
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focus_mode_quiet_groups: List[str] = Field(
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default_factory=list,
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description='专注模式下需要保持安静的群组列表, 格式: ["platform:group_id1", "platform:group_id2"]',
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)
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force_reply_private: bool = Field(default=False, description="强制回复私聊")
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group_chat_mode: Literal["auto", "normal", "focus"] = Field(default="auto", description="群聊模式")
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timestamp_display_mode: Literal["normal", "normal_no_YMD", "relative"] = Field(
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default="normal_no_YMD", description="时间戳显示模式"
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)
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enable_proactive_thinking: bool = Field(default=False, description="启用主动思考")
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proactive_thinking_interval: int = Field(default=1500, description="主动思考间隔")
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The_scope_that_proactive_thinking_can_trigger: str = Field(default="all", description="主动思考可以触发的范围")
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proactive_thinking_in_private: bool = Field(default=True, description="主动思考可以在私聊里面启用")
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proactive_thinking_in_group: bool = Field(default=True, description="主动思考可以在群聊里面启用")
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proactive_thinking_enable_in_private: List[str] = Field(
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default_factory=list, description="启用主动思考的私聊范围，格式：platform:user_id，为空则不限制"
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)
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proactive_thinking_enable_in_groups: List[str] = Field(
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default_factory=list, description="启用主动思考的群聊范围，格式：platform:group_id，为空则不限制"
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)
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delta_sigma: int = Field(default=120, description="采用正态分布随机时间间隔")
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# 消息打断系统配置
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interruption_enabled: bool = Field(default=True, description="是否启用消息打断系统")
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interruption_max_limit: int = Field(default=3, ge=0, description="每个聊天流的最大打断次数")
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interruption_probability_factor: float = Field(
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default=0.8, ge=0.0, le=1.0, description="打断概率因子，当前打断次数/最大打断次数超过此值时触发概率下降"
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)
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interruption_afc_reduction: float = Field(
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default=0.05, ge=0.0, le=1.0, description="每次连续打断降低的afc阈值数值"
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)
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# 动态消息分发系统配置
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dynamic_distribution_enabled: bool = Field(default=True, description="是否启用动态消息分发周期调整")
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dynamic_distribution_base_interval: float = Field(
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default=5.0, ge=1.0, le=60.0, description="基础分发间隔（秒）"
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)
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dynamic_distribution_min_interval: float = Field(
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default=1.0, ge=0.5, le=10.0, description="最小分发间隔（秒）"
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)
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dynamic_distribution_max_interval: float = Field(
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default=30.0, ge=5.0, le=300.0, description="最大分发间隔（秒）"
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)
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dynamic_distribution_jitter_factor: float = Field(
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default=0.2, ge=0.0, le=0.5, description="分发间隔随机扰动因子"
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)
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max_concurrent_distributions: int = Field(
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default=10, ge=1, le=100, description="最大并发处理的消息流数量"
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)
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def get_current_talk_frequency(self, chat_stream_id: Optional[str] = None) -> float:
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"""
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根据当前时间和聊天流获取对应的 talk_frequency
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Args:
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chat_stream_id: 聊天流ID，格式为 "platform:chat_id:type"
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Returns:
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float: 对应的频率值
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"""
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if not self.talk_frequency_adjust:
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return self.talk_frequency
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# 优先检查聊天流特定的配置
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if chat_stream_id:
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stream_frequency = self._get_stream_specific_frequency(chat_stream_id)
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if stream_frequency is not None:
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return stream_frequency
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# 检查全局时段配置（第一个元素为空字符串的配置）
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global_frequency = self._get_global_frequency()
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return self.talk_frequency if global_frequency is None else global_frequency
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@staticmethod
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def _get_time_based_frequency(time_freq_list: list[str]) -> Optional[float]:
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"""
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根据时间配置列表获取当前时段的频率
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Args:
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time_freq_list: 时间频率配置列表，格式为 ["HH:MM,frequency", ...]
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Returns:
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float: 频率值，如果没有配置则返回 None
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"""
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from datetime import datetime
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current_time = datetime.now().strftime("%H:%M")
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current_hour, current_minute = map(int, current_time.split(":"))
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current_minutes = current_hour * 60 + current_minute
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# 解析时间频率配置
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time_freq_pairs = []
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for time_freq_str in time_freq_list:
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try:
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time_str, freq_str = time_freq_str.split(",")
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hour, minute = map(int, time_str.split(":"))
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frequency = float(freq_str)
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minutes = hour * 60 + minute
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time_freq_pairs.append((minutes, frequency))
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except (ValueError, IndexError):
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continue
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if not time_freq_pairs:
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return None
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# 按时间排序
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time_freq_pairs.sort(key=lambda x: x[0])
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# 查找当前时间对应的频率
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current_frequency = None
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for minutes, frequency in time_freq_pairs:
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if current_minutes >= minutes:
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current_frequency = frequency
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else:
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break
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# 如果当前时间在所有配置时间之前，使用最后一个时间段的频率（跨天逻辑）
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if current_frequency is None and time_freq_pairs:
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current_frequency = time_freq_pairs[-1][1]
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return current_frequency
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def _get_stream_specific_frequency(self, chat_stream_id: str):
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"""
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获取特定聊天流在当前时间的频率
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Args:
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chat_stream_id: 聊天流ID（哈希值）
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Returns:
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float: 频率值，如果没有配置则返回 None
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"""
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# 查找匹配的聊天流配置
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for config_item in self.talk_frequency_adjust:
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if not config_item or len(config_item) < 2:
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continue
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stream_config_str = config_item[0] # 例如 "qq:1026294844:group"
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# 解析配置字符串并生成对应的 chat_id
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config_chat_id = self._parse_stream_config_to_chat_id(stream_config_str)
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if config_chat_id is None:
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continue
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# 比较生成的 chat_id
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if config_chat_id != chat_stream_id:
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continue
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# 使用通用的时间频率解析方法
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return self._get_time_based_frequency(config_item[1:])
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return None
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@staticmethod
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def _parse_stream_config_to_chat_id(stream_config_str: str) -> Optional[str]:
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"""
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解析流配置字符串并生成对应的 chat_id
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Args:
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stream_config_str: 格式为 "platform:id:type" 的字符串
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Returns:
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str: 生成的 chat_id，如果解析失败则返回 None
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"""
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try:
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parts = stream_config_str.split(":")
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if len(parts) != 3:
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return None
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platform = parts[0]
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id_str = parts[1]
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stream_type = parts[2]
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# 判断是否为群聊
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is_group = stream_type == "group"
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# 使用与 ChatStream.get_stream_id 相同的逻辑生成 chat_id
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import hashlib
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if is_group:
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components = [platform, str(id_str)]
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else:
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components = [platform, str(id_str), "private"]
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key = "_".join(components)
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return hashlib.md5(key.encode()).hexdigest()
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except (ValueError, IndexError):
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return None
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def _get_global_frequency(self) -> Optional[float]:
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"""
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获取全局默认频率配置
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Returns:
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float: 频率值，如果没有配置则返回 None
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"""
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for config_item in self.talk_frequency_adjust:
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if not config_item or len(config_item) < 2:
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continue
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# 检查是否为全局默认配置（第一个元素为空字符串）
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if config_item[0] == "":
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return self._get_time_based_frequency(config_item[1:])
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return None
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class MessageReceiveConfig(ValidatedConfigBase):
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"""消息接收配置类"""
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ban_words: List[str] = Field(default_factory=lambda: list(), description="禁用词列表")
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ban_msgs_regex: List[str] = Field(default_factory=lambda: list(), description="禁用消息正则列表")
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class NormalChatConfig(ValidatedConfigBase):
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"""普通聊天配置类"""
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class ExpressionRule(ValidatedConfigBase):
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"""表达学习规则"""
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chat_stream_id: str = Field(..., description="聊天流ID，空字符串表示全局")
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use_expression: bool = Field(default=True, description="是否使用学到的表达")
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learn_expression: bool = Field(default=True, description="是否学习表达")
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learning_strength: float = Field(default=1.0, description="学习强度")
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group: Optional[str] = Field(default=None, description="表达共享组")
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class ExpressionConfig(ValidatedConfigBase):
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"""表达配置类"""
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rules: List[ExpressionRule] = Field(default_factory=list, description="表达学习规则")
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@staticmethod
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def _parse_stream_config_to_chat_id(stream_config_str: str) -> Optional[str]:
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"""
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解析流配置字符串并生成对应的 chat_id
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Args:
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stream_config_str: 格式为 "platform:id:type" 的字符串
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Returns:
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str: 生成的 chat_id，如果解析失败则返回 None
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"""
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try:
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parts = stream_config_str.split(":")
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if len(parts) != 3:
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return None
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platform = parts[0]
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id_str = parts[1]
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stream_type = parts[2]
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# 判断是否为群聊
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is_group = stream_type == "group"
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# 使用与 ChatStream.get_stream_id 相同的逻辑生成 chat_id
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import hashlib
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if is_group:
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components = [platform, str(id_str)]
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else:
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components = [platform, str(id_str), "private"]
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key = "_".join(components)
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return hashlib.md5(key.encode()).hexdigest()
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except (ValueError, IndexError):
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return None
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def get_expression_config_for_chat(self, chat_stream_id: Optional[str] = None) -> tuple[bool, bool, float]:
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"""
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根据聊天流ID获取表达配置
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Args:
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chat_stream_id: 聊天流ID，格式为哈希值
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Returns:
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tuple: (是否使用表达, 是否学习表达, 学习间隔)
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"""
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if not self.rules:
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# 如果没有配置，使用默认值：启用表达，启用学习，强度1.0
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return True, True, 1.0
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# 优先检查聊天流特定的配置
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if chat_stream_id:
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for rule in self.rules:
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if rule.chat_stream_id and self._parse_stream_config_to_chat_id(rule.chat_stream_id) == chat_stream_id:
|
||
return rule.use_expression, rule.learn_expression, rule.learning_strength
|
||
|
||
# 检查全局配置（chat_stream_id为空字符串的配置）
|
||
for rule in self.rules:
|
||
if rule.chat_stream_id == "":
|
||
return rule.use_expression, rule.learn_expression, rule.learning_strength
|
||
|
||
# 如果都没有匹配，返回默认值
|
||
return True, True, 1.0
|
||
|
||
|
||
class ToolConfig(ValidatedConfigBase):
|
||
"""工具配置类"""
|
||
|
||
enable_tool: bool = Field(default=False, description="启用工具")
|
||
|
||
|
||
class VoiceConfig(ValidatedConfigBase):
|
||
"""语音识别配置类"""
|
||
|
||
enable_asr: bool = Field(default=False, description="启用语音识别")
|
||
|
||
|
||
class EmojiConfig(ValidatedConfigBase):
|
||
"""表情包配置类"""
|
||
|
||
emoji_chance: float = Field(default=0.6, description="表情包出现概率")
|
||
emoji_activate_type: str = Field(default="random", description="表情包激活类型")
|
||
max_reg_num: int = Field(default=200, description="最大表情包数量")
|
||
do_replace: bool = Field(default=True, description="是否替换表情包")
|
||
check_interval: float = Field(default=1.0, ge=0.01, description="检查间隔")
|
||
steal_emoji: bool = Field(default=True, description="是否偷取表情包")
|
||
content_filtration: bool = Field(default=False, description="内容过滤")
|
||
filtration_prompt: str = Field(default="符合公序良俗", description="过滤提示")
|
||
enable_emotion_analysis: bool = Field(default=True, description="启用情感分析")
|
||
emoji_selection_mode: Literal["emotion", "description"] = Field(default="emotion", description="表情选择模式")
|
||
max_context_emojis: int = Field(default=30, description="每次随机传递给LLM的表情包最大数量，0为全部")
|
||
|
||
|
||
class MemoryConfig(ValidatedConfigBase):
|
||
"""记忆配置类"""
|
||
|
||
enable_memory: bool = Field(default=True, description="启用记忆")
|
||
memory_build_interval: int = Field(default=600, description="记忆构建间隔")
|
||
memory_build_distribution: list[float] = Field(
|
||
default_factory=lambda: [6.0, 3.0, 0.6, 32.0, 12.0, 0.4], description="记忆构建分布"
|
||
)
|
||
memory_build_sample_num: int = Field(default=8, description="记忆构建样本数量")
|
||
memory_build_sample_length: int = Field(default=40, description="记忆构建样本长度")
|
||
memory_compress_rate: float = Field(default=0.1, description="记忆压缩率")
|
||
forget_memory_interval: int = Field(default=1000, description="遗忘记忆间隔")
|
||
memory_forget_time: int = Field(default=24, description="记忆遗忘时间")
|
||
memory_forget_percentage: float = Field(default=0.01, description="记忆遗忘百分比")
|
||
consolidate_memory_interval: int = Field(default=1000, description="记忆巩固间隔")
|
||
consolidation_similarity_threshold: float = Field(default=0.7, description="巩固相似性阈值")
|
||
consolidate_memory_percentage: float = Field(default=0.01, description="巩固记忆百分比")
|
||
memory_ban_words: list[str] = Field(
|
||
default_factory=lambda: ["表情包", "图片", "回复", "聊天记录"], description="记忆禁用词"
|
||
)
|
||
enable_instant_memory: bool = Field(default=True, description="启用即时记忆")
|
||
enable_llm_instant_memory: bool = Field(default=True, description="启用基于LLM的瞬时记忆")
|
||
enable_vector_instant_memory: bool = Field(default=True, description="启用基于向量的瞬时记忆")
|
||
|
||
# 增强记忆系统配置
|
||
enable_enhanced_memory: bool = Field(default=True, description="启用增强记忆系统")
|
||
enhanced_memory_auto_save: bool = Field(default=True, description="自动保存增强记忆")
|
||
|
||
# 记忆构建配置
|
||
min_memory_length: int = Field(default=10, description="最小记忆长度")
|
||
max_memory_length: int = Field(default=500, description="最大记忆长度")
|
||
memory_value_threshold: float = Field(default=0.7, description="记忆价值阈值")
|
||
|
||
# 向量存储配置
|
||
vector_dimension: int = Field(default=768, description="向量维度")
|
||
vector_similarity_threshold: float = Field(default=0.8, description="向量相似度阈值")
|
||
|
||
# 多阶段检索配置
|
||
metadata_filter_limit: int = Field(default=100, description="元数据过滤阶段返回数量")
|
||
vector_search_limit: int = Field(default=50, description="向量搜索阶段返回数量")
|
||
semantic_rerank_limit: int = Field(default=20, description="语义重排序阶段返回数量")
|
||
final_result_limit: int = Field(default=10, description="最终结果数量")
|
||
|
||
# 检索权重配置
|
||
vector_weight: float = Field(default=0.4, description="向量相似度权重")
|
||
semantic_weight: float = Field(default=0.3, description="语义相似度权重")
|
||
context_weight: float = Field(default=0.2, description="上下文权重")
|
||
recency_weight: float = Field(default=0.1, description="时效性权重")
|
||
|
||
# 记忆融合配置
|
||
fusion_similarity_threshold: float = Field(default=0.85, description="融合相似度阈值")
|
||
deduplication_window_hours: int = Field(default=24, description="去重时间窗口（小时）")
|
||
|
||
# 缓存配置
|
||
enable_memory_cache: bool = Field(default=True, description="启用记忆缓存")
|
||
cache_ttl_seconds: int = Field(default=300, description="缓存生存时间（秒）")
|
||
max_cache_size: int = Field(default=1000, description="最大缓存大小")
|
||
|
||
|
||
class MoodConfig(ValidatedConfigBase):
|
||
"""情绪配置类"""
|
||
|
||
enable_mood: bool = Field(default=False, description="启用情绪")
|
||
mood_update_threshold: float = Field(default=1.0, description="情绪更新阈值")
|
||
|
||
|
||
class KeywordRuleConfig(ValidatedConfigBase):
|
||
"""关键词规则配置类"""
|
||
|
||
keywords: list[str] = Field(default_factory=lambda: [], description="关键词列表")
|
||
regex: list[str] = Field(default_factory=lambda: [], description="正则表达式列表")
|
||
reaction: str = Field(default="", description="反应内容")
|
||
|
||
def __post_init__(self):
|
||
import re
|
||
|
||
if not self.keywords and not self.regex:
|
||
raise ValueError("关键词规则必须至少包含keywords或regex中的一个")
|
||
if not self.reaction:
|
||
raise ValueError("关键词规则必须包含reaction")
|
||
for pattern in self.regex:
|
||
try:
|
||
re.compile(pattern)
|
||
except re.error as e:
|
||
raise ValueError(f"无效的正则表达式 '{pattern}': {str(e)}") from e
|
||
|
||
|
||
class KeywordReactionConfig(ValidatedConfigBase):
|
||
"""关键词配置类"""
|
||
|
||
keyword_rules: list[KeywordRuleConfig] = Field(default_factory=lambda: [], description="关键词规则列表")
|
||
regex_rules: list[KeywordRuleConfig] = Field(default_factory=lambda: [], description="正则表达式规则列表")
|
||
|
||
|
||
class CustomPromptConfig(ValidatedConfigBase):
|
||
"""自定义提示词配置类"""
|
||
|
||
image_prompt: str = Field(default="", description="图片提示词")
|
||
planner_custom_prompt_enable: bool = Field(default=False, description="启用规划器自定义提示词")
|
||
planner_custom_prompt_content: str = Field(default="", description="规划器自定义提示词内容")
|
||
|
||
|
||
class ResponsePostProcessConfig(ValidatedConfigBase):
|
||
"""回复后处理配置类"""
|
||
|
||
enable_response_post_process: bool = Field(default=True, description="启用回复后处理")
|
||
|
||
|
||
class ChineseTypoConfig(ValidatedConfigBase):
|
||
"""中文错别字配置类"""
|
||
|
||
enable: bool = Field(default=True, description="启用")
|
||
error_rate: float = Field(default=0.01, description="错误率")
|
||
min_freq: int = Field(default=9, description="最小频率")
|
||
tone_error_rate: float = Field(default=0.1, description="语调错误率")
|
||
word_replace_rate: float = Field(default=0.006, description="词语替换率")
|
||
|
||
|
||
class ResponseSplitterConfig(ValidatedConfigBase):
|
||
"""回复分割器配置类"""
|
||
|
||
enable: bool = Field(default=True, description="启用")
|
||
split_mode: str = Field(default="llm", description="分割模式: 'llm' 或 'punctuation'")
|
||
max_length: int = Field(default=256, description="最大长度")
|
||
max_sentence_num: int = Field(default=3, description="最大句子数")
|
||
enable_kaomoji_protection: bool = Field(default=False, description="启用颜文字保护")
|
||
|
||
|
||
class DebugConfig(ValidatedConfigBase):
|
||
"""调试配置类"""
|
||
|
||
show_prompt: bool = Field(default=False, description="显示提示")
|
||
|
||
|
||
class ExperimentalConfig(ValidatedConfigBase):
|
||
"""实验功能配置类"""
|
||
|
||
pfc_chatting: bool = Field(default=False, description="启用PFC聊天")
|
||
|
||
|
||
class MaimMessageConfig(ValidatedConfigBase):
|
||
"""maim_message配置类"""
|
||
|
||
use_custom: bool = Field(default=False, description="启用自定义")
|
||
host: str = Field(default="127.0.0.1", description="主机")
|
||
port: int = Field(default=8090, description="端口")
|
||
mode: Literal["ws", "tcp"] = Field(default="ws", description="模式")
|
||
use_wss: bool = Field(default=False, description="启用WSS")
|
||
cert_file: str = Field(default="", description="证书文件")
|
||
key_file: str = Field(default="", description="密钥文件")
|
||
auth_token: list[str] = Field(default_factory=lambda: [], description="认证令牌列表")
|
||
|
||
|
||
class LPMMKnowledgeConfig(ValidatedConfigBase):
|
||
"""LPMM知识库配置类"""
|
||
|
||
enable: bool = Field(default=True, description="启用")
|
||
rag_synonym_search_top_k: int = Field(default=10, description="RAG同义词搜索Top K")
|
||
rag_synonym_threshold: float = Field(default=0.8, description="RAG同义词阈值")
|
||
info_extraction_workers: int = Field(default=3, description="信息提取工作线程数")
|
||
qa_relation_search_top_k: int = Field(default=10, description="QA关系搜索Top K")
|
||
qa_relation_threshold: float = Field(default=0.75, description="QA关系阈值")
|
||
qa_paragraph_search_top_k: int = Field(default=1000, description="QA段落搜索Top K")
|
||
qa_paragraph_node_weight: float = Field(default=0.05, description="QA段落节点权重")
|
||
qa_ent_filter_top_k: int = Field(default=10, description="QA实体过滤Top K")
|
||
qa_ppr_damping: float = Field(default=0.8, description="QA PPR阻尼系数")
|
||
qa_res_top_k: int = Field(default=10, description="QA结果Top K")
|
||
embedding_dimension: int = Field(default=1024, description="嵌入维度")
|
||
|
||
|
||
class PlanningSystemConfig(ValidatedConfigBase):
|
||
"""规划系统配置 (日程与月度计划)"""
|
||
|
||
# --- 日程生成 (原 ScheduleConfig) ---
|
||
schedule_enable: bool = Field(True, description="是否启用每日日程生成功能")
|
||
schedule_guidelines: str = Field("", description="日程生成指导原则")
|
||
|
||
# --- 月度计划 (原 MonthlyPlanSystemConfig) ---
|
||
monthly_plan_enable: bool = Field(True, description="是否启用月度计划系统")
|
||
monthly_plan_guidelines: str = Field("", description="月度计划生成指导原则")
|
||
max_plans_per_month: int = Field(10, description="每月最多生成的计划数量")
|
||
avoid_repetition_days: int = Field(7, description="避免在多少天内重复使用同一个月度计划")
|
||
completion_threshold: int = Field(3, description="一个月度计划被使用多少次后算作完成")
|
||
|
||
|
||
class DependencyManagementConfig(ValidatedConfigBase):
|
||
"""插件Python依赖管理配置类"""
|
||
|
||
auto_install: bool = Field(default=True, description="启用自动安装")
|
||
auto_install_timeout: int = Field(default=300, description="自动安装超时时间")
|
||
use_mirror: bool = Field(default=False, description="使用镜像")
|
||
mirror_url: str = Field(default="", description="镜像URL")
|
||
use_proxy: bool = Field(default=False, description="使用代理")
|
||
proxy_url: str = Field(default="", description="代理URL")
|
||
pip_options: list[str] = Field(
|
||
default_factory=lambda: ["--no-warn-script-location", "--disable-pip-version-check"], description="Pip选项"
|
||
)
|
||
prompt_before_install: bool = Field(default=False, description="安装前提示")
|
||
install_log_level: str = Field(default="INFO", description="安装日志级别")
|
||
|
||
|
||
class VideoAnalysisConfig(ValidatedConfigBase):
|
||
"""视频分析配置类"""
|
||
|
||
enable: bool = Field(default=True, description="启用")
|
||
analysis_mode: str = Field(default="batch_frames", description="分析模式")
|
||
frame_extraction_mode: str = Field(
|
||
default="keyframe", description="抽帧模式：keyframe(关键帧), fixed_number(固定数量), time_interval(时间间隔)"
|
||
)
|
||
frame_interval_seconds: float = Field(default=2.0, description="抽帧时间间隔")
|
||
max_frames: int = Field(default=8, description="最大帧数")
|
||
frame_quality: int = Field(default=85, description="帧质量")
|
||
max_image_size: int = Field(default=800, description="最大图像大小")
|
||
enable_frame_timing: bool = Field(default=True, description="启用帧时间")
|
||
batch_analysis_prompt: str = Field(default="", description="批量分析提示")
|
||
|
||
# Rust模块相关配置
|
||
rust_keyframe_threshold: float = Field(default=2.0, description="关键帧检测阈值")
|
||
rust_use_simd: bool = Field(default=True, description="启用SIMD优化")
|
||
rust_block_size: int = Field(default=8192, description="Rust处理块大小")
|
||
rust_threads: int = Field(default=0, description="Rust线程数，0表示自动检测")
|
||
ffmpeg_path: str = Field(default="ffmpeg", description="FFmpeg可执行文件路径")
|
||
|
||
|
||
class WebSearchConfig(ValidatedConfigBase):
|
||
"""联网搜索组件配置类"""
|
||
|
||
enable_web_search_tool: bool = Field(default=True, description="启用网络搜索工具")
|
||
enable_url_tool: bool = Field(default=True, description="启用URL工具")
|
||
tavily_api_keys: list[str] = Field(default_factory=lambda: [], description="Tavily API密钥列表，支持轮询机制")
|
||
exa_api_keys: list[str] = Field(default_factory=lambda: [], description="exa API密钥列表，支持轮询机制")
|
||
enabled_engines: list[str] = Field(default_factory=lambda: ["ddg"], description="启用的搜索引擎")
|
||
search_strategy: Literal["fallback", "single", "parallel"] = Field(default="single", description="搜索策略")
|
||
|
||
|
||
class AntiPromptInjectionConfig(ValidatedConfigBase):
|
||
"""LLM反注入系统配置类"""
|
||
|
||
enabled: bool = Field(default=True, description="启用")
|
||
enabled_LLM: bool = Field(default=True, description="启用LLM")
|
||
enabled_rules: bool = Field(default=True, description="启用规则")
|
||
process_mode: str = Field(default="lenient", description="处理模式")
|
||
whitelist: list[list[str]] = Field(default_factory=list, description="白名单")
|
||
llm_detection_enabled: bool = Field(default=True, description="启用LLM检测")
|
||
llm_model_name: str = Field(default="anti_injection", description="LLM模型名称")
|
||
llm_detection_threshold: float = Field(default=0.7, description="LLM检测阈值")
|
||
cache_enabled: bool = Field(default=True, description="启用缓存")
|
||
cache_ttl: int = Field(default=3600, description="缓存TTL")
|
||
max_message_length: int = Field(default=4096, description="最大消息长度")
|
||
stats_enabled: bool = Field(default=True, description="启用统计信息")
|
||
auto_ban_enabled: bool = Field(default=True, description="启用自动禁用")
|
||
auto_ban_violation_threshold: int = Field(default=3, description="自动禁用违规阈值")
|
||
auto_ban_duration_hours: int = Field(default=2, description="自动禁用持续时间（小时）")
|
||
shield_prefix: str = Field(default="🛡️ ", description="保护前缀")
|
||
shield_suffix: str = Field(default=" 🛡️", description="保护后缀")
|
||
|
||
|
||
class SleepSystemConfig(ValidatedConfigBase):
|
||
"""睡眠系统配置类"""
|
||
|
||
enable: bool = Field(default=True, description="是否启用睡眠系统")
|
||
sleep_by_schedule: bool = Field(default=True, description="是否根据日程表进行睡觉")
|
||
fixed_sleep_time: str = Field(default="23:00", description="固定的睡觉时间")
|
||
fixed_wake_up_time: str = Field(default="07:00", description="固定的起床时间")
|
||
sleep_time_offset_minutes: int = Field(
|
||
default=15, ge=0, le=60, description="睡觉时间随机偏移量范围（分钟），实际睡觉时间会在±该值范围内随机"
|
||
)
|
||
wake_up_time_offset_minutes: int = Field(
|
||
default=15, ge=0, le=60, description="起床时间随机偏移量范围（分钟），实际起床时间会在±该值范围内随机"
|
||
)
|
||
wakeup_threshold: float = Field(default=15.0, ge=1.0, description="唤醒阈值，达到此值时会被唤醒")
|
||
private_message_increment: float = Field(default=3.0, ge=0.1, description="私聊消息增加的唤醒度")
|
||
group_mention_increment: float = Field(default=2.0, ge=0.1, description="群聊艾特增加的唤醒度")
|
||
decay_rate: float = Field(default=0.2, ge=0.0, description="每次衰减的唤醒度数值")
|
||
decay_interval: float = Field(default=30.0, ge=1.0, description="唤醒度衰减间隔(秒)")
|
||
angry_duration: float = Field(default=300.0, ge=10.0, description="愤怒状态持续时间(秒)")
|
||
angry_prompt: str = Field(default="你被人吵醒了非常生气，说话带着怒气", description="被吵醒后的愤怒提示词")
|
||
re_sleep_delay_minutes: int = Field(
|
||
default=5, ge=1, description="被唤醒后，如果多久没有新消息则尝试重新入睡（分钟）"
|
||
)
|
||
|
||
# --- 失眠机制相关参数 ---
|
||
enable_insomnia_system: bool = Field(default=True, description="是否启用失眠系统")
|
||
insomnia_trigger_delay_minutes: List[int] = Field(
|
||
default_factory=lambda: [30, 60], description="入睡后触发失眠判定的延迟时间范围（分钟）"
|
||
)
|
||
insomnia_duration_minutes: List[int] = Field(
|
||
default_factory=lambda: [15, 45], description="单次失眠状态的持续时间范围（分钟）"
|
||
)
|
||
sleep_pressure_threshold: float = Field(default=30.0, description="触发“压力不足型失眠”的睡眠压力阈值")
|
||
deep_sleep_threshold: float = Field(default=80.0, description="进入“深度睡眠”的睡眠压力阈值")
|
||
insomnia_chance_low_pressure: float = Field(default=0.6, ge=0.0, le=1.0, description="压力不足时的失眠基础概率")
|
||
insomnia_chance_normal_pressure: float = Field(default=0.1, ge=0.0, le=1.0, description="压力正常时的失眠基础概率")
|
||
sleep_pressure_increment: float = Field(default=1.5, ge=0.0, description="每次AI执行动作后，增加的睡眠压力值")
|
||
sleep_pressure_decay_rate: float = Field(default=1.5, ge=0.0, description="睡眠时，每分钟衰减的睡眠压力值")
|
||
|
||
# --- 弹性睡眠与睡前消息 ---
|
||
enable_flexible_sleep: bool = Field(default=True, description="是否启用弹性睡眠")
|
||
flexible_sleep_pressure_threshold: float = Field(
|
||
default=40.0, description="触发弹性睡眠的睡眠压力阈值，低于该值可能延迟入睡"
|
||
)
|
||
max_sleep_delay_minutes: int = Field(default=60, description="单日最大延迟入睡分钟数")
|
||
enable_pre_sleep_notification: bool = Field(default=True, description="是否启用睡前消息")
|
||
pre_sleep_prompt: str = Field(
|
||
default="我准备睡觉了，请生成一句简短自然的晚安问候。", description="用于生成睡前消息的提示"
|
||
)
|
||
|
||
|
||
class ContextGroup(ValidatedConfigBase):
|
||
"""上下文共享组配置"""
|
||
|
||
name: str = Field(..., description="共享组的名称")
|
||
chat_ids: List[List[str]] = Field(
|
||
...,
|
||
description='属于该组的聊天ID列表，格式为 [["type", "chat_id"], ...]，例如 [["group", "123456"], ["private", "789012"]]',
|
||
)
|
||
|
||
|
||
class CrossContextConfig(ValidatedConfigBase):
|
||
"""跨群聊上下文共享配置"""
|
||
|
||
enable: bool = Field(default=False, description="是否启用跨群聊上下文共享功能")
|
||
groups: List[ContextGroup] = Field(default_factory=list, description="上下文共享组列表")
|
||
|
||
|
||
class CommandConfig(ValidatedConfigBase):
|
||
"""命令系统配置类"""
|
||
|
||
command_prefixes: List[str] = Field(default_factory=lambda: ["/", "!", ".", "#"], description="支持的命令前缀列表")
|
||
|
||
|
||
class PermissionConfig(ValidatedConfigBase):
|
||
"""权限系统配置类"""
|
||
|
||
# Master用户配置（拥有最高权限，无视所有权限节点）
|
||
master_users: List[List[str]] = Field(
|
||
default_factory=list, description="Master用户列表，格式: [[platform, user_id], ...]"
|
||
)
|
||
|
||
|
||
class AffinityFlowConfig(ValidatedConfigBase):
|
||
"""亲和流配置类（兴趣度评分和人物关系系统）"""
|
||
|
||
# 兴趣评分系统参数
|
||
reply_action_interest_threshold: float = Field(default=0.4, description="回复动作兴趣阈值")
|
||
non_reply_action_interest_threshold: float = Field(default=0.2, description="非回复动作兴趣阈值")
|
||
high_match_interest_threshold: float = Field(default=0.8, description="高匹配兴趣阈值")
|
||
medium_match_interest_threshold: float = Field(default=0.5, description="中匹配兴趣阈值")
|
||
low_match_interest_threshold: float = Field(default=0.2, description="低匹配兴趣阈值")
|
||
high_match_keyword_multiplier: float = Field(default=1.5, description="高匹配关键词兴趣倍率")
|
||
medium_match_keyword_multiplier: float = Field(default=1.2, description="中匹配关键词兴趣倍率")
|
||
low_match_keyword_multiplier: float = Field(default=1.0, description="低匹配关键词兴趣倍率")
|
||
match_count_bonus: float = Field(default=0.1, description="匹配数关键词加成值")
|
||
max_match_bonus: float = Field(default=0.5, description="最大匹配数加成值")
|
||
|
||
# 回复决策系统参数
|
||
no_reply_threshold_adjustment: float = Field(default=0.1, description="不回复兴趣阈值调整值")
|
||
reply_cooldown_reduction: int = Field(default=2, description="回复后减少的不回复计数")
|
||
max_no_reply_count: int = Field(default=5, description="最大不回复计数次数")
|
||
|
||
# 综合评分权重
|
||
keyword_match_weight: float = Field(default=0.4, description="兴趣关键词匹配度权重")
|
||
mention_bot_weight: float = Field(default=0.3, description="提及bot分数权重")
|
||
relationship_weight: float = Field(default=0.3, description="人物关系分数权重")
|
||
|
||
# 提及bot相关参数
|
||
mention_bot_adjustment_threshold: float = Field(default=0.3, description="提及bot后的调整阈值")
|
||
mention_bot_interest_score: float = Field(default=0.6, description="提及bot的兴趣分")
|
||
base_relationship_score: float = Field(default=0.5, description="基础人物关系分")
|