956 lines
51 KiB
Python
956 lines
51 KiB
Python
from typing import Literal
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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. 所有配置类必须继承自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", "postgresql"] = 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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# PostgreSQL 配置
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postgresql_host: str = Field(default="localhost", description="PostgreSQL服务器地址")
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postgresql_port: int = Field(default=5432, ge=1, le=65535, description="PostgreSQL服务器端口")
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postgresql_database: str = Field(default="maibot", description="PostgreSQL数据库名")
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postgresql_user: str = Field(default="postgres", description="PostgreSQL用户名")
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postgresql_password: str = Field(default="", description="PostgreSQL密码")
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postgresql_schema: str = Field(default="public", description="PostgreSQL模式名")
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postgresql_ssl_mode: Literal["disable", "allow", "prefer", "require", "verify-ca", "verify-full"] = Field(
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default="prefer", description="PostgreSQL SSL模式"
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)
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postgresql_ssl_ca: str = Field(default="", description="PostgreSQL SSL CA证书路径")
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postgresql_ssl_cert: str = Field(default="", description="PostgreSQL SSL客户端证书路径")
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postgresql_ssl_key: str = Field(default="", description="PostgreSQL SSL密钥路径")
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# 通用连接池配置
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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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# 批量动作记录存储配置
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batch_action_storage_enabled: bool = Field(
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default=True, description="是否启用批量保存动作记录（开启后将多个动作一次性写入数据库，提升性能）"
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)
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# 数据库缓存配置
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enable_database_cache: bool = Field(default=True, description="是否启用数据库查询缓存系统")
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cache_l1_max_size: int = Field(default=1000, ge=100, le=50000, description="L1缓存最大条目数（热数据，内存占用约1-5MB）")
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cache_l1_ttl: int = Field(default=300, ge=10, le=3600, description="L1缓存生存时间（秒）")
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cache_l2_max_size: int = Field(default=10000, ge=1000, le=100000, description="L2缓存最大条目数（温数据，内存占用约10-50MB）")
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cache_l2_ttl: int = Field(default=1800, ge=60, le=7200, description="L2缓存生存时间（秒）")
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cache_cleanup_interval: int = Field(default=60, ge=30, le=600, description="缓存清理任务执行间隔（秒）")
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cache_max_memory_mb: int = Field(default=100, ge=10, le=1000, description="缓存最大内存占用（MB），超过此值将触发强制清理")
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cache_max_item_size_mb: int = Field(default=1, ge=1, le=100, description="单个缓存条目最大大小（MB），超过此值将不缓存")
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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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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 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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thinking_timeout: int = Field(default=40, description="思考超时时间")
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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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private_chat_inevitable_reply: bool = Field(default=False, description="私聊必然回复")
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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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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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# 消息缓存系统配置
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enable_message_cache: bool = Field(
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default=True, description="是否启用消息缓存系统（启用后，处理中收到的消息会被缓存，处理完成后统一刷新到未读列表）"
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)
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# 消息打断系统配置 - 线性概率模型
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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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allow_reply_interruption: bool = Field(
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default=False, description="是否允许在正在生成回复时打断（True=允许打断回复，False=回复期间不允许打断）"
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)
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interruption_max_limit: int = Field(default=10, ge=0, description="每个聊天流的最大打断次数")
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interruption_min_probability: float = Field(
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default=0.1, ge=0.0, le=1.0, description="最低打断概率（即使达到较高打断次数，也保证有此概率的打断机会）"
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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(default=5.0, ge=1.0, le=60.0, description="基础分发间隔（秒）")
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dynamic_distribution_min_interval: float = Field(default=1.0, ge=0.5, le=10.0, description="最小分发间隔（秒）")
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dynamic_distribution_max_interval: float = Field(default=30.0, ge=5.0, le=300.0, description="最大分发间隔（秒）")
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dynamic_distribution_jitter_factor: float = Field(default=0.2, ge=0.0, le=0.5, description="分发间隔随机扰动因子")
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max_concurrent_distributions: int = Field(default=10, ge=1, le=100, description="最大并发处理的消息流数量")
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enable_decision_history: bool = Field(default=True, description="是否启用决策历史功能")
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decision_history_length: int = Field(
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default=3, ge=1, le=10, description="决策历史记录的长度，用于增强语言模型的上下文连续性"
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)
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# 多重回复控制配置
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enable_multiple_replies: bool = Field(
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default=True, description="是否允许多重回复（True=允许多个回复动作，False=只保留一个回复动作）"
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)
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multiple_replies_strategy: Literal["keep_first", "keep_best", "keep_last"] = Field(
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default="keep_first", description="多重回复处理策略：keep_first(保留第一个)，keep_best(保留最佳)，keep_last(保留最后一个)"
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)
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# 表情包回复配置
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allow_reply_to_emoji: bool = Field(default=True, description="是否允许回复表情包消息")
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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: [], description="禁用词列表")
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ban_msgs_regex: list[str] = Field(default_factory=lambda: [], description="禁用消息正则列表")
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mute_group_list: list[str] = Field(
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default_factory=list, description="静默群组列表，在这些群组中，只有在被@或回复时才会响应"
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)
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class NoticeConfig(ValidatedConfigBase):
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"""Notice消息配置类"""
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enable_notice_trigger_chat: bool = Field(default=True, description="是否允许notice消息触发聊天流程")
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notice_in_prompt: bool = Field(default=True, description="是否在提示词中展示最近的notice消息")
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notice_prompt_limit: int = Field(default=5, ge=1, le=20, description="在提示词中展示的最大notice数量")
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notice_time_window: int = Field(default=3600, ge=60, le=86400, description="notice时间窗口(秒)")
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max_notices_per_chat: int = Field(default=30, ge=10, le=100, description="每个聊天保留的notice数量上限")
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notice_retention_time: int = Field(default=86400, ge=3600, le=604800, description="notice保留时间(秒)")
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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: str | None = 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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mode: Literal["classic", "exp_model"] = Field(
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default="classic",
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description="表达方式选择模式: classic=经典LLM评估, exp_model=机器学习模型预测"
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)
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expiration_days: int = Field(
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default=90,
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description="表达方式过期天数，超过此天数未激活的表达方式将被清理"
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)
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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) -> str | None:
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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: str | None = 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:
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return rule.use_expression, rule.learn_expression, rule.learning_strength
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# 检查全局配置（chat_stream_id为空字符串的配置）
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for rule in self.rules:
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if rule.chat_stream_id == "":
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return rule.use_expression, rule.learn_expression, rule.learning_strength
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# 如果都没有匹配，返回默认值
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return True, True, 1.0
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class ToolConfig(ValidatedConfigBase):
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"""工具配置类"""
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enable_tool: bool = Field(default=False, description="启用工具")
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force_parallel_execution: bool = Field(
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default=True,
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description="<EFBFBD><EFBFBD><EFBFBD><EFBFBD>LLM<EFBFBD><EFBFBD><EFBFBD><EFBFBD>ͬʱ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>Ҫʹ<EFBFBD>ù<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ʱǿ<EFBFBD><EFBFBD>ʹ<EFBFBD>ò<EFBFBD><EFBFBD><EFBFBD>ģʽ<EFBFBD><EFBFBD>ֹ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>Ϣ",
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)
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max_parallel_invocations: int = Field(
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default=5, ge=1, le=50, description="<EFBFBD><EFBFBD>ͬһ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>п<EFBFBD><EFBFBD>Խ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ܹ<EFBFBD><EFBFBD>ߵ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>"
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)
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tool_timeout: float = Field(
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default=60.0, ge=1.0, le=600.0, description="<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ߵ<EFBFBD><EFBFBD>õij<EFBFBD>ʱʱ<EFBFBD>䣨<EFBFBD>룩"
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)
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class VoiceConfig(ValidatedConfigBase):
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"""语音识别配置类"""
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enable_asr: bool = Field(default=False, description="启用语音识别")
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asr_provider: str = Field(default="api", description="语音识别提供商")
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class EmojiConfig(ValidatedConfigBase):
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"""表情包配置类"""
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emoji_chance: float = Field(default=0.6, description="表情包出现概率")
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emoji_activate_type: str = Field(default="random", description="表情包激活类型")
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max_reg_num: int = Field(default=200, description="最大表情包数量")
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do_replace: bool = Field(default=True, description="是否替换表情包")
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check_interval: float = Field(default=1.0, ge=0.01, description="检查间隔")
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steal_emoji: bool = Field(default=True, description="是否偷取表情包")
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content_filtration: bool = Field(default=False, description="内容过滤")
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filtration_prompt: str = Field(default="符合公序良俗", description="过滤提示")
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enable_emotion_analysis: bool = Field(default=True, description="启用情感分析")
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emoji_selection_mode: Literal["emotion", "description"] = Field(default="emotion", description="表情选择模式")
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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")
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class MemoryConfig(ValidatedConfigBase):
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"""记忆配置类"""
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enable_memory: bool = Field(default=True, description="启用记忆系统")
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memory_build_interval: int = Field(default=600, description="记忆构建间隔（秒）")
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# 记忆构建配置
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min_memory_length: int = Field(default=10, description="最小记忆长度")
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max_memory_length: int = Field(default=500, description="最大记忆长度")
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memory_value_threshold: float = Field(default=0.7, description="记忆价值阈值")
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# 向量存储配置
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vector_similarity_threshold: float = Field(default=0.8, description="向量相似度阈值")
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semantic_similarity_threshold: float = Field(default=0.6, description="语义相似度阈值")
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# 多阶段检索配置
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metadata_filter_limit: int = Field(default=100, description="元数据过滤阶段返回数量")
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vector_search_limit: int = Field(default=50, description="向量搜索阶段返回数量")
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semantic_rerank_limit: int = Field(default=20, description="语义重排序阶段返回数量")
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final_result_limit: int = Field(default=10, description="最终结果数量")
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|
||
# 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")
|
||
|
||
# Vector DB记忆存储配置 (替代JSON存储)
|
||
enable_vector_memory_storage: bool = Field(default=True, description="启用Vector DB记忆存储")
|
||
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")
|
||
instant_memory_max_collections: int = Field(default=100, ge=1, description="瞬时记忆最大集合数")
|
||
instant_memory_retention_hours: int = Field(
|
||
default=0, ge=0, description="瞬时记忆保留时间（小时），0表示不基于时间清理"
|
||
)
|
||
|
||
# Vector DB配置
|
||
vector_db_similarity_threshold: float = Field(
|
||
default=0.5, description="Vector DB相似度阈值（推荐0.5-0.6，过高会导致检索不到结果）"
|
||
)
|
||
vector_db_search_limit: int = Field(default=20, description="Vector DB搜索限制")
|
||
vector_db_batch_size: int = Field(default=100, description="批处理大小")
|
||
vector_db_enable_caching: bool = Field(default=True, description="启用内存缓存")
|
||
vector_db_cache_size_limit: int = Field(default=1000, description="缓存大小限制")
|
||
vector_db_auto_cleanup_interval: int = Field(default=3600, description="自动清理间隔（秒）")
|
||
vector_db_retention_hours: int = Field(default=720, description="记忆保留时间（小时，默认30天）")
|
||
|
||
# 遗忘引擎配置
|
||
enable_memory_forgetting: bool = Field(default=True, description="启用智能遗忘机制")
|
||
forgetting_check_interval_hours: int = Field(default=24, description="遗忘检查间隔（小时）")
|
||
base_forgetting_days: float = Field(default=30.0, description="基础遗忘天数")
|
||
min_forgetting_days: float = Field(default=7.0, description="最小遗忘天数")
|
||
max_forgetting_days: float = Field(default=365.0, description="最大遗忘天数")
|
||
|
||
# 重要程度权重
|
||
critical_importance_bonus: float = Field(default=45.0, description="关键重要性额外天数")
|
||
high_importance_bonus: float = Field(default=30.0, description="高重要性额外天数")
|
||
normal_importance_bonus: float = Field(default=15.0, description="一般重要性额外天数")
|
||
low_importance_bonus: float = Field(default=0.0, description="低重要性额外天数")
|
||
|
||
# 置信度权重
|
||
verified_confidence_bonus: float = Field(default=30.0, description="已验证置信度额外天数")
|
||
high_confidence_bonus: float = Field(default=20.0, description="高置信度额外天数")
|
||
medium_confidence_bonus: float = Field(default=10.0, description="中等置信度额外天数")
|
||
low_confidence_bonus: float = Field(default=0.0, description="低置信度额外天数")
|
||
|
||
# 激活频率权重
|
||
activation_frequency_weight: float = Field(default=0.5, description="每次激活增加的天数权重")
|
||
max_frequency_bonus: float = Field(default=10.0, description="最大激活频率奖励天数")
|
||
|
||
# 休眠机制
|
||
dormant_threshold_days: int = Field(default=90, description="休眠状态判定天数")
|
||
|
||
# === 混合记忆系统配置 ===
|
||
# 采样模式配置
|
||
memory_sampling_mode: Literal["all", "hippocampus", "immediate"] = Field(
|
||
default="all", description="记忆采样模式：hippocampus(海马体定时采样)，immediate(即时采样)，all(所有模式)"
|
||
)
|
||
|
||
# 海马体双峰采样配置
|
||
enable_hippocampus_sampling: bool = Field(default=True, description="启用海马体双峰采样策略")
|
||
hippocampus_sample_interval: int = Field(default=1800, description="海马体采样间隔（秒，默认30分钟）")
|
||
hippocampus_sample_size: int = Field(default=30, description="海马体每次采样的消息数量")
|
||
hippocampus_batch_size: int = Field(default=5, description="海马体每批处理的记忆数量")
|
||
|
||
# 双峰分布配置 [近期均值, 近期标准差, 近期权重, 远期均值, 远期标准差, 远期权重]
|
||
hippocampus_distribution_config: list[float] = Field(
|
||
default=[12.0, 8.0, 0.7, 48.0, 24.0, 0.3],
|
||
description="海马体双峰分布配置：[近期均值(h), 近期标准差(h), 近期权重, 远期均值(h), 远期标准差(h), 远期权重]",
|
||
)
|
||
|
||
# 自适应采样配置
|
||
adaptive_sampling_enabled: bool = Field(default=True, description="启用自适应采样策略")
|
||
adaptive_sampling_threshold: float = Field(default=0.8, description="自适应采样负载阈值（0-1）")
|
||
adaptive_sampling_check_interval: int = Field(default=300, description="自适应采样检查间隔（秒）")
|
||
adaptive_sampling_max_concurrent_builds: int = Field(default=3, description="自适应采样最大并发记忆构建数")
|
||
|
||
# 精准记忆配置（现有系统的增强版本）
|
||
precision_memory_reply_threshold: float = Field(
|
||
default=0.6, description="精准记忆回复触发阈值（对话价值评分超过此值时触发记忆构建）"
|
||
)
|
||
precision_memory_max_builds_per_hour: int = Field(default=10, description="精准记忆每小时最大构建数量")
|
||
|
||
# 混合系统优化配置
|
||
memory_system_load_balancing: bool = Field(default=True, description="启用记忆系统负载均衡")
|
||
memory_build_throttling: bool = Field(default=True, description="启用记忆构建节流")
|
||
memory_priority_queue_enabled: bool = Field(default=True, description="启用记忆优先级队列")
|
||
|
||
# === 记忆图系统配置 (Memory Graph System) ===
|
||
# 新一代记忆系统的配置项
|
||
enable: bool = Field(default=True, description="启用记忆图系统")
|
||
data_dir: str = Field(default="data/memory_graph", description="记忆数据存储目录")
|
||
|
||
# 向量存储配置
|
||
vector_collection_name: str = Field(default="memory_nodes", description="向量集合名称")
|
||
vector_db_path: str = Field(default="data/memory_graph/chroma_db", description="向量数据库路径")
|
||
|
||
# 检索配置
|
||
search_top_k: int = Field(default=10, description="默认检索返回数量")
|
||
search_min_importance: float = Field(default=0.3, description="最小重要性阈值")
|
||
search_similarity_threshold: float = Field(default=0.5, description="向量相似度阈值")
|
||
enable_query_optimization: bool = Field(default=True, description="启用查询优化")
|
||
|
||
# 路径扩展配置 (新算法)
|
||
enable_path_expansion: bool = Field(default=False, description="启用路径评分扩展算法（实验性功能）")
|
||
path_expansion_max_hops: int = Field(default=2, description="路径扩展最大跳数")
|
||
path_expansion_damping_factor: float = Field(default=0.85, description="路径分数衰减因子")
|
||
path_expansion_max_branches: int = Field(default=10, description="每节点最大分叉数")
|
||
path_expansion_merge_strategy: str = Field(default="weighted_geometric", description="路径合并策略: weighted_geometric, max_bonus")
|
||
path_expansion_pruning_threshold: float = Field(default=0.9, description="路径剪枝阈值")
|
||
path_expansion_path_score_weight: float = Field(default=0.50, description="路径分数在最终评分中的权重")
|
||
path_expansion_importance_weight: float = Field(default=0.30, description="重要性在最终评分中的权重")
|
||
path_expansion_recency_weight: float = Field(default=0.20, description="时效性在最终评分中的权重")
|
||
|
||
# 🆕 路径扩展 - 记忆去重配置
|
||
enable_memory_deduplication: bool = Field(default=True, description="启用检索结果去重（合并相似记忆）")
|
||
memory_deduplication_threshold: float = Field(default=0.85, description="记忆相似度阈值（0.85表示85%相似即合并）")
|
||
|
||
# 遗忘配置 (记忆图系统)
|
||
forgetting_enabled: bool = Field(default=True, description="是否启用自动遗忘")
|
||
forgetting_activation_threshold: float = Field(default=0.1, description="激活度阈值")
|
||
forgetting_min_importance: float = Field(default=0.8, description="最小保护重要性")
|
||
|
||
# 激活配置
|
||
activation_decay_rate: float = Field(default=0.9, description="激活度衰减率")
|
||
activation_propagation_strength: float = Field(default=0.5, description="激活传播强度")
|
||
activation_propagation_depth: int = Field(default=2, description="激活传播深度")
|
||
|
||
# 记忆激活配置（强制执行）
|
||
auto_activate_base_strength: float = Field(default=0.1, description="记忆被检索时自动激活的基础强度")
|
||
auto_activate_max_count: int = Field(default=5, description="单次搜索最多自动激活的记忆数量")
|
||
|
||
# 性能配置
|
||
max_memory_nodes_per_memory: int = Field(default=10, description="每个记忆最多包含的节点数")
|
||
max_related_memories: int = Field(default=5, description="相关记忆最大数量")
|
||
|
||
# 节点去重合并配置
|
||
node_merger_similarity_threshold: float = Field(default=0.85, description="节点去重相似度阈值")
|
||
node_merger_context_match_required: bool = Field(default=True, description="节点合并是否要求上下文匹配")
|
||
node_merger_merge_batch_size: int = Field(default=50, description="节点合并批量处理大小")
|
||
|
||
# ==================== 三层记忆系统配置 (Three-Tier Memory System) ====================
|
||
# 感知记忆层配置
|
||
perceptual_max_blocks: int = Field(default=50, description="记忆堆最大容量（全局）")
|
||
perceptual_block_size: int = Field(default=5, description="每个记忆块包含的消息数量")
|
||
perceptual_similarity_threshold: float = Field(default=0.55, description="相似度阈值（0-1）")
|
||
perceptual_topk: int = Field(default=3, description="TopK召回数量")
|
||
perceptual_activation_threshold: int = Field(default=3, description="激活阈值（召回次数→短期）")
|
||
|
||
# 短期记忆层配置
|
||
short_term_max_memories: int = Field(default=30, description="短期记忆最大数量")
|
||
short_term_transfer_threshold: float = Field(default=0.6, description="转移到长期记忆的重要性阈值")
|
||
short_term_search_top_k: int = Field(default=5, description="搜索时返回的最大数量")
|
||
short_term_decay_factor: float = Field(default=0.98, description="衰减因子")
|
||
|
||
# 长期记忆层配置
|
||
long_term_batch_size: int = Field(default=10, description="批量转移大小")
|
||
long_term_decay_factor: float = Field(default=0.95, description="衰减因子")
|
||
long_term_auto_transfer_interval: int = Field(default=60, description="自动转移间隔（秒）")
|
||
|
||
|
||
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 ReactionRuleConfig(ValidatedConfigBase):
|
||
"""反应规则配置类"""
|
||
|
||
chat_stream_id: str = Field(default="", description='聊天流ID，格式为 "platform:id:type"，空字符串表示全局')
|
||
rule_type: Literal["keyword", "regex"] = Field(..., description='规则类型，必须是 "keyword" 或 "regex"')
|
||
patterns: list[str] = Field(..., description="关键词或正则表达式列表")
|
||
reaction: str = Field(..., description="触发后的回复内容")
|
||
|
||
def __post_init__(self):
|
||
import re
|
||
|
||
if not self.patterns:
|
||
raise ValueError("patterns 列表不能为空")
|
||
if self.rule_type == "regex":
|
||
for pattern in self.patterns:
|
||
try:
|
||
re.compile(pattern)
|
||
except re.error as e:
|
||
raise ValueError(f"无效的正则表达式 '{pattern}': {e!s}") from e
|
||
|
||
|
||
class ReactionConfig(ValidatedConfigBase):
|
||
"""反应规则系统配置"""
|
||
|
||
rules: list[ReactionRuleConfig] = Field(default_factory=list, description="反应规则列表")
|
||
|
||
|
||
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 MessageBusConfig(ValidatedConfigBase):
|
||
"""mofox_wire 消息服务配置"""
|
||
|
||
use_custom: bool = Field(default=False, description="是否使用自定义地址")
|
||
host: str = Field(default="127.0.0.1", description="消息服务主机")
|
||
port: int = Field(default=8090, description="消息服务端口")
|
||
mode: Literal["ws", "tcp"] = Field(default="ws", description="传输模式")
|
||
use_wss: bool = Field(default=False, description="是否启用 WSS")
|
||
cert_file: str = Field(default="", description="证书文件路径")
|
||
key_file: str = Field(default="", description="密钥文件路径")
|
||
auth_token: list[str] = Field(default_factory=lambda: [], description="认证 token 列表")
|
||
|
||
|
||
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")
|
||
enable_summary: bool = Field(default=True, description="是否启用知识库总结")
|
||
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_threshold: float = Field(default=0.3, description="QA段落阈值")
|
||
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(default=True, description="是否启用每日日程生成功能")
|
||
schedule_guidelines: str = Field(default="", description="日程生成指导原则")
|
||
|
||
# --- 月度计划 (原 MonthlyPlanSystemConfig) ---
|
||
monthly_plan_enable: bool = Field(default=True, description="是否启用月度计划系统")
|
||
monthly_plan_guidelines: str = Field(default="", description="月度计划生成指导原则")
|
||
max_plans_per_month: int = Field(default=10, description="每月最多生成的计划数量")
|
||
avoid_repetition_days: int = Field(default=7, description="避免在多少天内重复使用同一个月度计划")
|
||
completion_threshold: int = Field(default=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")
|
||
searxng_instances: list[str] = Field(default_factory=list, description="SearXNG 实例 URL 列表")
|
||
searxng_api_keys: list[str] = Field(default_factory=list, description="SearXNG 实例 API 密钥列表")
|
||
serper_api_keys: list[str] = Field(default_factory=list, description="serper API 密钥列表")
|
||
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 MaizoneContextGroup(ValidatedConfigBase):
|
||
"""QQ空间专用互通组配置"""
|
||
|
||
name: str = Field(..., description="QQ空间互通组的名称")
|
||
chat_ids: list[list[str]] = Field(
|
||
...,
|
||
description='定义组内成员的列表。格式为 [["type", "id"]]。type为"group"或"private"，id为群号或用户ID。',
|
||
)
|
||
|
||
|
||
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")
|
||
|
||
# --- S4U模式: 用户中心上下文检索 ---
|
||
s4u_mode: Literal["whitelist", "blacklist"] = Field(
|
||
default="whitelist",
|
||
description="S4U模式的白名单/黑名单模式",
|
||
)
|
||
s4u_limit: int = Field(default=5, description="S4U模式下，每个聊天获取的消息条数")
|
||
s4u_stream_limit: int = Field(default=3, description="S4U模式下，最多检索多少个不同的聊天流")
|
||
s4u_whitelist_chats: list[str] = Field(
|
||
default_factory=list,
|
||
description='S4U模式的白名单列表。格式: ["platform:type:id", ...]',
|
||
)
|
||
s4u_blacklist_chats: list[str] = Field(
|
||
default_factory=list,
|
||
description='S4U模式的黑名单列表。格式: ["platform:type:id", ...]',
|
||
)
|
||
|
||
# --- QQ空间专用互通组 ---
|
||
maizone_context_group: list[MaizoneContextGroup] = Field(default_factory=list, description="QQ空间专用互通组列表")
|
||
|
||
|
||
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 PluginHttpSystemConfig(ValidatedConfigBase):
|
||
"""插件http系统相关配置"""
|
||
|
||
enable_plugin_http_endpoints: bool = Field(
|
||
default=True, description="总开关，是否允许插件创建HTTP端点"
|
||
)
|
||
plugin_api_rate_limit_enable: bool = Field(
|
||
default=True, description="是否为插件API启用全局速率限制"
|
||
)
|
||
plugin_api_rate_limit_default: str = Field(
|
||
default="100/minute", description="插件API的默认速率限制策略"
|
||
)
|
||
plugin_api_valid_keys: list[str] = Field(
|
||
default_factory=list, description="<EFBFBD><EFBFBD>Ч<EFBFBD><EFBFBD>API<EFBFBD><EFBFBD>Կ<EFBFBD>б<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ڲ<EFBFBD><EFBFBD><EFBFBD><EFBFBD>֤"
|
||
)
|
||
event_handler_timeout: float = Field(
|
||
default=30.0, ge=1.0, le=300.0, description="<EFBFBD>¼<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ִ<EFBFBD>г<EFBFBD>ʱʱ<EFBFBD>䣨<EFBFBD>룩"
|
||
)
|
||
event_handler_max_concurrency: int = Field(
|
||
default=20, ge=1, le=200, description="<EFBFBD><EFBFBD><EFBFBD><EFBFBD>ÿ<EFBFBD><EFBFBD><EFBFBD>¼<EFBFBD>ͬʱִ<EFBFBD>е<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>߸<EFBFBD><EFBFBD><EFBFBD>0<EFBFBD><EFBFBD>ʾ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>"
|
||
)
|
||
|
||
|
||
class MasterPromptConfig(ValidatedConfigBase):
|
||
"""主人身份提示词配置"""
|
||
|
||
enable: bool = Field(default=False, description="是否启用主人提示词注入功能")
|
||
master_hint: str = Field(default="", description="对主人注入的额外提示词内容")
|
||
non_master_hint: str = Field(default="", description="对非主人注入的额外提示词内容")
|
||
|
||
|
||
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], ...]"
|
||
)
|
||
master_prompt: MasterPromptConfig = Field(
|
||
default_factory=MasterPromptConfig, description="主人身份提示词配置"
|
||
)
|
||
|
||
|
||
class AffinityFlowConfig(ValidatedConfigBase):
|
||
"""亲和流配置类（兴趣度评分和人物关系系统）"""
|
||
|
||
# Normal模式开关
|
||
enable_normal_mode: bool = Field(default=True, description="是否启用自动Normal模式切换")
|
||
|
||
# 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")
|
||
|
||
# 回复后连续对话机制参数
|
||
enable_post_reply_boost: bool = Field(default=True, description="是否启用回复后阈值降低机制，使bot在回复后更容易进行连续对话")
|
||
post_reply_threshold_reduction: float = Field(default=0.15, description="回复后初始阈值降低值（建议0.1-0.2）")
|
||
post_reply_boost_max_count: int = Field(default=3, description="回复后阈值降低的最大持续次数（建议2-5）")
|
||
post_reply_boost_decay_rate: float = Field(default=0.5, description="每次回复后阈值降低衰减率（0-1，建议0.3-0.7）")
|
||
|
||
# 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（已弃用，改用strong/weak_mention）")
|
||
strong_mention_interest_score: float = Field(default=2.5, description="强提及的兴趣分（被@、被回复、私聊）")
|
||
weak_mention_interest_score: float = Field(default=1.5, description="弱提及的兴趣分（文本匹配bot名字或别名）")
|
||
base_relationship_score: float = Field(default=0.5, description="基础人物关系分")
|
||
|
||
class ProactiveThinkingConfig(ValidatedConfigBase):
|
||
"""主动思考（主动发起对话）功能配置"""
|
||
|
||
# --- 总开关 ---
|
||
enable: bool = Field(default=False, description="是否启用主动发起对话功能")
|
||
|
||
# --- 间隔配置 ---
|
||
base_interval: int = Field(default=1800, ge=60, description="基础触发间隔（秒），默认30分钟")
|
||
min_interval: int = Field(default=600, ge=60, description="最小触发间隔（秒），默认10分钟。兴趣分数高时会接近此值")
|
||
max_interval: int = Field(default=7200, ge=60, description="最大触发间隔（秒），默认2小时。兴趣分数低时会接近此值")
|
||
|
||
# --- 新增：动态调整配置 ---
|
||
use_interest_score: bool = Field(default=True, description="是否根据兴趣分数动态调整间隔。关闭则使用固定base_interval")
|
||
interest_score_factor: float = Field(default=2.0, ge=1.0, le=3.0, description="兴趣分数影响因子。公式: interval = base * (factor - score)")
|
||
|
||
# --- 新增：黑白名单配置 ---
|
||
whitelist_mode: bool = Field(default=False, description="是否启用白名单模式。启用后只对白名单中的聊天流生效")
|
||
blacklist_mode: bool = Field(default=False, description="是否启用黑名单模式。启用后排除黑名单中的聊天流")
|
||
|
||
whitelist_private: list[str] = Field(
|
||
default_factory=list,
|
||
description='私聊白名单，格式: ["platform:user_id:private", "qq:12345:private"]'
|
||
)
|
||
whitelist_group: list[str] = Field(
|
||
default_factory=list,
|
||
description='群聊白名单，格式: ["platform:group_id:group", "qq:123456:group"]'
|
||
)
|
||
|
||
blacklist_private: list[str] = Field(
|
||
default_factory=list,
|
||
description='私聊黑名单，格式: ["platform:user_id:private", "qq:12345:private"]'
|
||
)
|
||
blacklist_group: list[str] = Field(
|
||
default_factory=list,
|
||
description='群聊黑名单，格式: ["platform:group_id:group", "qq:123456:group"]'
|
||
)
|
||
|
||
# --- 新增：兴趣分数阈值 ---
|
||
min_interest_score: float = Field(default=0.0, ge=0.0, le=1.0, description="最低兴趣分数阈值，低于此值不会主动思考")
|
||
max_interest_score: float = Field(default=1.0, ge=0.0, le=1.0, description="最高兴趣分数阈值，高于此值不会主动思考（用于限制过度活跃）")
|
||
|
||
# --- 新增：时间策略配置 ---
|
||
enable_time_strategy: bool = Field(default=False, description="是否启用时间策略（根据时段调整频率）")
|
||
quiet_hours_start: str = Field(default="00:00", description='安静时段开始时间，格式: "HH:MM"')
|
||
quiet_hours_end: str = Field(default="07:00", description='安静时段结束时间，格式: "HH:MM"')
|
||
active_hours_multiplier: float = Field(default=0.7, ge=0.1, le=2.0, description="活跃时段间隔倍数，<1表示更频繁，>1表示更稀疏")
|
||
|
||
# --- 新增：冷却与限制 ---
|
||
reply_reset_enabled: bool = Field(default=True, description="bot回复后是否重置定时器（避免回复后立即又主动发言）")
|
||
topic_throw_cooldown: int = Field(default=3600, ge=0, description="抛出话题后的冷却时间（秒），期间暂停主动思考")
|
||
max_daily_proactive: int = Field(default=0, ge=0, description="每个聊天流每天最多主动发言次数，0表示不限制")
|
||
|
||
# --- 新增：决策权重配置 ---
|
||
do_nothing_weight: float = Field(default=0.4, ge=0.0, le=1.0, description="do_nothing动作的基础权重")
|
||
simple_bubble_weight: float = Field(default=0.3, ge=0.0, le=1.0, description="simple_bubble动作的基础权重")
|
||
throw_topic_weight: float = Field(default=0.3, ge=0.0, le=1.0, description="throw_topic动作的基础权重")
|
||
|
||
# --- 新增：调试与监控 ---
|
||
enable_statistics: bool = Field(default=True, description="是否启用统计功能（记录触发次数、决策分布等）")
|
||
log_decisions: bool = Field(default=False, description="是否记录每次决策的详细日志（用于调试）")
|
||
|
||
|
||
class KokoroFlowChatterProactiveConfig(ValidatedConfigBase):
|
||
"""
|
||
Kokoro Flow Chatter 主动思考子配置
|
||
|
||
设计哲学：主动行为源于内部状态和外部环境的自然反应，而非机械的限制。
|
||
她的主动是因为挂念、因为关心、因为想问候，而不是因为"任务"。
|
||
"""
|
||
enabled: bool = Field(default=True, description="是否启用KFC的私聊主动思考")
|
||
|
||
# 1. 沉默触发器：当感到长久的沉默时，她可能会想说些什么
|
||
silence_threshold_seconds: int = Field(
|
||
default=7200, ge=60, le=86400,
|
||
description="用户沉默超过此时长（秒），可能触发主动思考（默认2小时）"
|
||
)
|
||
|
||
# 2. 关系门槛：她不会对不熟悉的人过于主动
|
||
min_affinity_for_proactive: float = Field(
|
||
default=0.3, ge=0.0, le=1.0,
|
||
description="需要达到最低好感度，她才会开始主动关心"
|
||
)
|
||
|
||
# 3. 频率呼吸：为了避免打扰，她的关心总是有间隔的
|
||
min_interval_between_proactive: int = Field(
|
||
default=1800, ge=0,
|
||
description="两次主动思考之间的最小间隔（秒，默认30分钟）"
|
||
)
|
||
|
||
# 4. 自然问候：在特定的时间，她会像朋友一样送上问候
|
||
enable_morning_greeting: bool = Field(
|
||
default=True, description="是否启用早安问候 (例如: 8:00 - 9:00)"
|
||
)
|
||
enable_night_greeting: bool = Field(
|
||
default=True, description="是否启用晚安问候 (例如: 22:00 - 23:00)"
|
||
)
|
||
|
||
# 5. 勿扰时段：在这段时间内不会主动发起对话
|
||
quiet_hours_start: str = Field(
|
||
default="23:00", description="勿扰时段开始时间，格式: HH:MM"
|
||
)
|
||
quiet_hours_end: str = Field(
|
||
default="07:00", description="勿扰时段结束时间，格式: HH:MM"
|
||
)
|
||
|
||
# 6. 触发概率：每次检查时主动发起的概率
|
||
trigger_probability: float = Field(
|
||
default=0.3, ge=0.0, le=1.0,
|
||
description="主动思考触发概率（0.0~1.0），用于避免过于频繁打扰"
|
||
)
|
||
|
||
|
||
class KokoroFlowChatterConfig(ValidatedConfigBase):
|
||
"""
|
||
Kokoro Flow Chatter 配置类 - 私聊专用心流对话系统
|
||
|
||
设计理念：KFC不是独立人格，它复用全局的人设、情感框架和回复模型，
|
||
只作为Bot核心人格在私聊中的一种特殊表现模式。
|
||
"""
|
||
|
||
# --- 总开关 ---
|
||
enable: bool = Field(
|
||
default=True,
|
||
description="开启后KFC将接管所有私聊消息；关闭后私聊消息将由AFC处理"
|
||
)
|
||
|
||
# --- 核心行为配置 ---
|
||
max_wait_seconds_default: int = Field(
|
||
default=300, ge=30, le=3600,
|
||
description="默认的最大等待秒数（AI发送消息后愿意等待用户回复的时间）"
|
||
)
|
||
enable_continuous_thinking: bool = Field(
|
||
default=True,
|
||
description="是否在等待期间启用心理活动更新"
|
||
)
|
||
|
||
# --- 私聊专属主动思考配置 ---
|
||
proactive_thinking: KokoroFlowChatterProactiveConfig = Field(
|
||
default_factory=KokoroFlowChatterProactiveConfig,
|
||
description="私聊专属主动思考配置"
|
||
)
|
||
|