refactor(database): 阶段二 - 完成核心层重构
- models.py: 迁移25个模型类，使用统一的Mapped类型注解 * 包含: ChatStreams, Messages, PersonInfo, LLMUsage等 * 新增: PermissionNodes, UserPermissions, UserRelationships * 654行纯模型定义代码，无初始化逻辑 - migration.py: 重构数据库迁移逻辑 * check_and_migrate_database: 自动检查和迁移表结构 * create_all_tables: 快速创建所有表 * drop_all_tables: 测试用删除所有表 * 使用新架构的engine和models - __init__.py: 完善导出清单 * 导出所有25个模型类 * 导出迁移函数 * 导出Base和工具函数 - 辅助脚本: * extract_models.py: 自动提取模型定义 * cleanup_models.py: 清理非模型代码 核心层现已完整，下一步进入优化层实现
This commit is contained in:
Windpicker-owo
652
src/common/database/core/models.py
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652
src/common/database/core/models.py
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"""SQLAlchemy数据库模型定义
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本文件只包含纯模型定义，使用SQLAlchemy 2.0的Mapped类型注解风格。
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引擎和会话管理已移至core/engine.py和core/session.py。
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所有模型使用统一的类型注解风格：
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field_name: Mapped[PyType] = mapped_column(Type, ...)
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这样IDE/Pylance能正确推断实例属性类型。
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"""
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import datetime
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import time
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from sqlalchemy import Boolean, DateTime, Float, Index, Integer, String, Text
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import Mapped, mapped_column
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# 创建基类
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Base = declarative_base()
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# MySQL兼容的字段类型辅助函数
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def get_string_field(max_length=255, **kwargs):
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"""
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根据数据库类型返回合适的字符串字段
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MySQL需要指定长度的VARCHAR用于索引，SQLite可以使用Text
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"""
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from src.config.config import global_config
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if global_config.database.database_type == "mysql":
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return String(max_length, **kwargs)
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else:
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return Text(**kwargs)
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class ChatStreams(Base):
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"""聊天流模型"""
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__tablename__ = "chat_streams"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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stream_id: Mapped[str] = mapped_column(get_string_field(64), nullable=False, unique=True, index=True)
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create_time: Mapped[float] = mapped_column(Float, nullable=False)
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group_platform: Mapped[str | None] = mapped_column(Text, nullable=True)
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group_id: Mapped[str | None] = mapped_column(get_string_field(100), nullable=True, index=True)
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group_name: Mapped[str | None] = mapped_column(Text, nullable=True)
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last_active_time: Mapped[float] = mapped_column(Float, nullable=False)
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platform: Mapped[str] = mapped_column(Text, nullable=False)
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user_platform: Mapped[str] = mapped_column(Text, nullable=False)
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user_id: Mapped[str] = mapped_column(get_string_field(100), nullable=False, index=True)
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user_nickname: Mapped[str] = mapped_column(Text, nullable=False)
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user_cardname: Mapped[str | None] = mapped_column(Text, nullable=True)
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energy_value: Mapped[float | None] = mapped_column(Float, nullable=True, default=5.0)
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sleep_pressure: Mapped[float | None] = mapped_column(Float, nullable=True, default=0.0)
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focus_energy: Mapped[float | None] = mapped_column(Float, nullable=True, default=0.5)
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# 动态兴趣度系统字段
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base_interest_energy: Mapped[float | None] = mapped_column(Float, nullable=True, default=0.5)
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message_interest_total: Mapped[float | None] = mapped_column(Float, nullable=True, default=0.0)
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message_count: Mapped[int | None] = mapped_column(Integer, nullable=True, default=0)
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action_count: Mapped[int | None] = mapped_column(Integer, nullable=True, default=0)
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reply_count: Mapped[int | None] = mapped_column(Integer, nullable=True, default=0)
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last_interaction_time: Mapped[float | None] = mapped_column(Float, nullable=True, default=None)
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consecutive_no_reply: Mapped[int | None] = mapped_column(Integer, nullable=True, default=0)
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# 消息打断系统字段
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interruption_count: Mapped[int | None] = mapped_column(Integer, nullable=True, default=0)
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# 聊天流印象字段
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stream_impression_text: Mapped[str | None] = mapped_column(Text, nullable=True) # 对聊天流的主观印象描述
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stream_chat_style: Mapped[str | None] = mapped_column(Text, nullable=True) # 聊天流的总体风格
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stream_topic_keywords: Mapped[str | None] = mapped_column(Text, nullable=True) # 话题关键词，逗号分隔
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stream_interest_score: Mapped[float | None] = mapped_column(Float, nullable=True, default=0.5) # 对聊天流的兴趣程度(0-1)
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__table_args__ = (
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Index("idx_chatstreams_stream_id", "stream_id"),
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Index("idx_chatstreams_user_id", "user_id"),
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Index("idx_chatstreams_group_id", "group_id"),
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)
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class LLMUsage(Base):
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"""LLM使用记录模型"""
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__tablename__ = "llm_usage"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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model_name: Mapped[str] = mapped_column(get_string_field(100), nullable=False, index=True)
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model_assign_name: Mapped[str] = mapped_column(get_string_field(100), index=True)
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model_api_provider: Mapped[str] = mapped_column(get_string_field(100), index=True)
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user_id: Mapped[str] = mapped_column(get_string_field(50), nullable=False, index=True)
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request_type: Mapped[str] = mapped_column(get_string_field(50), nullable=False, index=True)
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endpoint: Mapped[str] = mapped_column(Text, nullable=False)
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prompt_tokens: Mapped[int] = mapped_column(Integer, nullable=False)
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completion_tokens: Mapped[int] = mapped_column(Integer, nullable=False)
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time_cost: Mapped[float | None] = mapped_column(Float, nullable=True)
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total_tokens: Mapped[int] = mapped_column(Integer, nullable=False)
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cost: Mapped[float] = mapped_column(Float, nullable=False)
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status: Mapped[str] = mapped_column(Text, nullable=False)
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timestamp: Mapped[datetime.datetime] = mapped_column(DateTime, nullable=False, index=True, default=datetime.datetime.now)
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__table_args__ = (
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Index("idx_llmusage_model_name", "model_name"),
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Index("idx_llmusage_model_assign_name", "model_assign_name"),
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Index("idx_llmusage_model_api_provider", "model_api_provider"),
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Index("idx_llmusage_time_cost", "time_cost"),
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Index("idx_llmusage_user_id", "user_id"),
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Index("idx_llmusage_request_type", "request_type"),
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Index("idx_llmusage_timestamp", "timestamp"),
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)
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class Emoji(Base):
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"""表情包模型"""
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__tablename__ = "emoji"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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full_path: Mapped[str] = mapped_column(get_string_field(500), nullable=False, unique=True, index=True)
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format: Mapped[str] = mapped_column(Text, nullable=False)
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emoji_hash: Mapped[str] = mapped_column(get_string_field(64), nullable=False, index=True)
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description: Mapped[str] = mapped_column(Text, nullable=False)
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query_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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is_registered: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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is_banned: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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emotion: Mapped[str | None] = mapped_column(Text, nullable=True)
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record_time: Mapped[float] = mapped_column(Float, nullable=False)
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register_time: Mapped[float | None] = mapped_column(Float, nullable=True)
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usage_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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last_used_time: Mapped[float | None] = mapped_column(Float, nullable=True)
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__table_args__ = (
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Index("idx_emoji_full_path", "full_path"),
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Index("idx_emoji_hash", "emoji_hash"),
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)
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class Messages(Base):
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"""消息模型"""
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__tablename__ = "messages"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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message_id: Mapped[str] = mapped_column(get_string_field(100), nullable=False, index=True)
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time: Mapped[float] = mapped_column(Float, nullable=False)
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chat_id: Mapped[str] = mapped_column(get_string_field(64), nullable=False, index=True)
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reply_to: Mapped[str | None] = mapped_column(Text, nullable=True)
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interest_value: Mapped[float | None] = mapped_column(Float, nullable=True)
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key_words: Mapped[str | None] = mapped_column(Text, nullable=True)
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key_words_lite: Mapped[str | None] = mapped_column(Text, nullable=True)
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is_mentioned: Mapped[bool | None] = mapped_column(Boolean, nullable=True)
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# 从 chat_info 扁平化而来的字段
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chat_info_stream_id: Mapped[str] = mapped_column(Text, nullable=False)
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chat_info_platform: Mapped[str] = mapped_column(Text, nullable=False)
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chat_info_user_platform: Mapped[str] = mapped_column(Text, nullable=False)
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chat_info_user_id: Mapped[str] = mapped_column(Text, nullable=False)
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chat_info_user_nickname: Mapped[str] = mapped_column(Text, nullable=False)
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chat_info_user_cardname: Mapped[str | None] = mapped_column(Text, nullable=True)
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chat_info_group_platform: Mapped[str | None] = mapped_column(Text, nullable=True)
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chat_info_group_id: Mapped[str | None] = mapped_column(Text, nullable=True)
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chat_info_group_name: Mapped[str | None] = mapped_column(Text, nullable=True)
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chat_info_create_time: Mapped[float] = mapped_column(Float, nullable=False)
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chat_info_last_active_time: Mapped[float] = mapped_column(Float, nullable=False)
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# 从顶层 user_info 扁平化而来的字段
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user_platform: Mapped[str | None] = mapped_column(Text, nullable=True)
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user_id: Mapped[str | None] = mapped_column(get_string_field(100), nullable=True, index=True)
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user_nickname: Mapped[str | None] = mapped_column(Text, nullable=True)
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user_cardname: Mapped[str | None] = mapped_column(Text, nullable=True)
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processed_plain_text: Mapped[str | None] = mapped_column(Text, nullable=True)
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display_message: Mapped[str | None] = mapped_column(Text, nullable=True)
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memorized_times: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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priority_mode: Mapped[str | None] = mapped_column(Text, nullable=True)
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priority_info: Mapped[str | None] = mapped_column(Text, nullable=True)
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additional_config: Mapped[str | None] = mapped_column(Text, nullable=True)
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is_emoji: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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is_picid: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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is_command: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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is_notify: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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is_public_notice: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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notice_type: Mapped[str | None] = mapped_column(String(50), nullable=True)
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# 兴趣度系统字段
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actions: Mapped[str | None] = mapped_column(Text, nullable=True)
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should_reply: Mapped[bool | None] = mapped_column(Boolean, nullable=True, default=False)
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should_act: Mapped[bool | None] = mapped_column(Boolean, nullable=True, default=False)
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__table_args__ = (
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Index("idx_messages_message_id", "message_id"),
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Index("idx_messages_chat_id", "chat_id"),
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Index("idx_messages_time", "time"),
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Index("idx_messages_user_id", "user_id"),
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Index("idx_messages_should_reply", "should_reply"),
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Index("idx_messages_should_act", "should_act"),
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)
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class ActionRecords(Base):
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"""动作记录模型"""
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__tablename__ = "action_records"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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action_id: Mapped[str] = mapped_column(get_string_field(100), nullable=False, index=True)
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time: Mapped[float] = mapped_column(Float, nullable=False)
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action_name: Mapped[str] = mapped_column(Text, nullable=False)
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action_data: Mapped[str] = mapped_column(Text, nullable=False)
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action_done: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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action_build_into_prompt: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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action_prompt_display: Mapped[str] = mapped_column(Text, nullable=False)
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chat_id: Mapped[str] = mapped_column(get_string_field(64), nullable=False, index=True)
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chat_info_stream_id: Mapped[str] = mapped_column(Text, nullable=False)
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chat_info_platform: Mapped[str] = mapped_column(Text, nullable=False)
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__table_args__ = (
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Index("idx_actionrecords_action_id", "action_id"),
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Index("idx_actionrecords_chat_id", "chat_id"),
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Index("idx_actionrecords_time", "time"),
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)
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class Images(Base):
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"""图像信息模型"""
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__tablename__ = "images"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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image_id: Mapped[str] = mapped_column(Text, nullable=False, default="")
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emoji_hash: Mapped[str] = mapped_column(get_string_field(64), nullable=False, index=True)
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description: Mapped[str | None] = mapped_column(Text, nullable=True)
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path: Mapped[str] = mapped_column(get_string_field(500), nullable=False, unique=True)
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count: Mapped[int] = mapped_column(Integer, nullable=False, default=1)
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timestamp: Mapped[float] = mapped_column(Float, nullable=False)
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type: Mapped[str] = mapped_column(Text, nullable=False)
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vlm_processed: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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__table_args__ = (
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Index("idx_images_emoji_hash", "emoji_hash"),
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Index("idx_images_path", "path"),
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)
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class ImageDescriptions(Base):
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"""图像描述信息模型"""
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__tablename__ = "image_descriptions"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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type: Mapped[str] = mapped_column(Text, nullable=False)
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image_description_hash: Mapped[str] = mapped_column(get_string_field(64), nullable=False, index=True)
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description: Mapped[str] = mapped_column(Text, nullable=False)
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timestamp: Mapped[float] = mapped_column(Float, nullable=False)
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__table_args__ = (Index("idx_imagedesc_hash", "image_description_hash"),)
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class Videos(Base):
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"""视频信息模型"""
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__tablename__ = "videos"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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video_id: Mapped[str] = mapped_column(Text, nullable=False, default="")
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video_hash: Mapped[str] = mapped_column(get_string_field(64), nullable=False, index=True, unique=True)
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description: Mapped[str | None] = mapped_column(Text, nullable=True)
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count: Mapped[int] = mapped_column(Integer, nullable=False, default=1)
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timestamp: Mapped[float] = mapped_column(Float, nullable=False)
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vlm_processed: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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# 视频特有属性
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duration: Mapped[float | None] = mapped_column(Float, nullable=True)
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frame_count: Mapped[int | None] = mapped_column(Integer, nullable=True)
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fps: Mapped[float | None] = mapped_column(Float, nullable=True)
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resolution: Mapped[str | None] = mapped_column(Text, nullable=True)
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file_size: Mapped[int | None] = mapped_column(Integer, nullable=True)
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__table_args__ = (
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Index("idx_videos_video_hash", "video_hash"),
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Index("idx_videos_timestamp", "timestamp"),
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)
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class OnlineTime(Base):
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"""在线时长记录模型"""
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__tablename__ = "online_time"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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timestamp: Mapped[str] = mapped_column(Text, nullable=False, default=str(datetime.datetime.now))
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duration: Mapped[int] = mapped_column(Integer, nullable=False)
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start_timestamp: Mapped[datetime.datetime] = mapped_column(DateTime, nullable=False, default=datetime.datetime.now)
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end_timestamp: Mapped[datetime.datetime] = mapped_column(DateTime, nullable=False, index=True)
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__table_args__ = (Index("idx_onlinetime_end_timestamp", "end_timestamp"),)
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class PersonInfo(Base):
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"""人物信息模型"""
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__tablename__ = "person_info"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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person_id: Mapped[str] = mapped_column(get_string_field(100), nullable=False, unique=True, index=True)
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person_name: Mapped[str | None] = mapped_column(Text, nullable=True)
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name_reason: Mapped[str | None] = mapped_column(Text, nullable=True)
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platform: Mapped[str] = mapped_column(Text, nullable=False)
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user_id: Mapped[str] = mapped_column(get_string_field(50), nullable=False, index=True)
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nickname: Mapped[str | None] = mapped_column(Text, nullable=True)
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impression: Mapped[str | None] = mapped_column(Text, nullable=True)
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short_impression: Mapped[str | None] = mapped_column(Text, nullable=True)
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points: Mapped[str | None] = mapped_column(Text, nullable=True)
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forgotten_points: Mapped[str | None] = mapped_column(Text, nullable=True)
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info_list: Mapped[str | None] = mapped_column(Text, nullable=True)
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know_times: Mapped[float | None] = mapped_column(Float, nullable=True)
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know_since: Mapped[float | None] = mapped_column(Float, nullable=True)
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last_know: Mapped[float | None] = mapped_column(Float, nullable=True)
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attitude: Mapped[int | None] = mapped_column(Integer, nullable=True, default=50)
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|
||||
__table_args__ = (
|
||||
Index("idx_personinfo_person_id", "person_id"),
|
||||
Index("idx_personinfo_user_id", "user_id"),
|
||||
)
|
||||
|
||||
|
||||
class BotPersonalityInterests(Base):
|
||||
"""机器人人格兴趣标签模型"""
|
||||
|
||||
__tablename__ = "bot_personality_interests"
|
||||
|
||||
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
|
||||
personality_id: Mapped[str] = mapped_column(get_string_field(100), nullable=False, index=True)
|
||||
personality_description: Mapped[str] = mapped_column(Text, nullable=False)
|
||||
interest_tags: Mapped[str] = mapped_column(Text, nullable=False)
|
||||
embedding_model: Mapped[str] = mapped_column(get_string_field(100), nullable=False, default="text-embedding-ada-002")
|
||||
version: Mapped[int] = mapped_column(Integer, nullable=False, default=1)
|
||||
last_updated: Mapped[datetime.datetime] = mapped_column(DateTime, nullable=False, default=datetime.datetime.now, index=True)
|
||||
|
||||
__table_args__ = (
|
||||
Index("idx_botpersonality_personality_id", "personality_id"),
|
||||
Index("idx_botpersonality_version", "version"),
|
||||
Index("idx_botpersonality_last_updated", "last_updated"),
|
||||
)
|
||||
|
||||
|
||||
class Memory(Base):
|
||||
"""记忆模型"""
|
||||
|
||||
__tablename__ = "memory"
|
||||
|
||||
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
|
||||
memory_id: Mapped[str] = mapped_column(get_string_field(64), nullable=False, index=True)
|
||||
chat_id: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
memory_text: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
keywords: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
create_time: Mapped[float | None] = mapped_column(Float, nullable=True)
|
||||
last_view_time: Mapped[float | None] = mapped_column(Float, nullable=True)
|
||||
|
||||
__table_args__ = (Index("idx_memory_memory_id", "memory_id"),)
|
||||
|
||||
|
||||
class Expression(Base):
|
||||
"""表达风格模型"""
|
||||
|
||||
__tablename__ = "expression"
|
||||
|
||||
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
|
||||
situation: Mapped[str] = mapped_column(Text, nullable=False)
|
||||
style: Mapped[str] = mapped_column(Text, nullable=False)
|
||||
count: Mapped[float] = mapped_column(Float, nullable=False)
|
||||
last_active_time: Mapped[float] = mapped_column(Float, nullable=False)
|
||||
chat_id: Mapped[str] = mapped_column(get_string_field(64), nullable=False, index=True)
|
||||
type: Mapped[str] = mapped_column(Text, nullable=False)
|
||||
create_date: Mapped[float | None] = mapped_column(Float, nullable=True)
|
||||
|
||||
__table_args__ = (Index("idx_expression_chat_id", "chat_id"),)
|
||||
|
||||
|
||||
class ThinkingLog(Base):
|
||||
"""思考日志模型"""
|
||||
|
||||
__tablename__ = "thinking_logs"
|
||||
|
||||
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
|
||||
chat_id: Mapped[str] = mapped_column(get_string_field(64), nullable=False, index=True)
|
||||
trigger_text: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
response_text: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
trigger_info_json: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
response_info_json: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
timing_results_json: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
chat_history_json: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
chat_history_in_thinking_json: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
chat_history_after_response_json: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
heartflow_data_json: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
reasoning_data_json: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
created_at: Mapped[datetime.datetime] = mapped_column(DateTime, nullable=False, default=datetime.datetime.now)
|
||||
|
||||
__table_args__ = (Index("idx_thinkinglog_chat_id", "chat_id"),)
|
||||
|
||||
|
||||
class GraphNodes(Base):
|
||||
"""记忆图节点模型"""
|
||||
|
||||
__tablename__ = "graph_nodes"
|
||||
|
||||
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
|
||||
concept: Mapped[str] = mapped_column(get_string_field(255), nullable=False, unique=True, index=True)
|
||||
memory_items: Mapped[str] = mapped_column(Text, nullable=False)
|
||||
hash: Mapped[str] = mapped_column(Text, nullable=False)
|
||||
weight: Mapped[float] = mapped_column(Float, nullable=False, default=1.0)
|
||||
created_time: Mapped[float] = mapped_column(Float, nullable=False)
|
||||
last_modified: Mapped[float] = mapped_column(Float, nullable=False)
|
||||
|
||||
__table_args__ = (Index("idx_graphnodes_concept", "concept"),)
|
||||
|
||||
|
||||
class GraphEdges(Base):
|
||||
"""记忆图边模型"""
|
||||
|
||||
__tablename__ = "graph_edges"
|
||||
|
||||
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
|
||||
source: Mapped[str] = mapped_column(get_string_field(255), nullable=False, index=True)
|
||||
target: Mapped[str] = mapped_column(get_string_field(255), nullable=False, index=True)
|
||||
strength: Mapped[int] = mapped_column(Integer, nullable=False)
|
||||
hash: Mapped[str] = mapped_column(Text, nullable=False)
|
||||
created_time: Mapped[float] = mapped_column(Float, nullable=False)
|
||||
last_modified: Mapped[float] = mapped_column(Float, nullable=False)
|
||||
|
||||
__table_args__ = (
|
||||
Index("idx_graphedges_source", "source"),
|
||||
Index("idx_graphedges_target", "target"),
|
||||
)
|
||||
|
||||
|
||||
class Schedule(Base):
|
||||
"""日程模型"""
|
||||
|
||||
__tablename__ = "schedule"
|
||||
|
||||
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
|
||||
date: Mapped[str] = mapped_column(get_string_field(10), nullable=False, unique=True, index=True)
|
||||
schedule_data: Mapped[str] = mapped_column(Text, nullable=False)
|
||||
created_at: Mapped[datetime.datetime] = mapped_column(DateTime, nullable=False, default=datetime.datetime.now)
|
||||
updated_at: Mapped[datetime.datetime] = mapped_column(DateTime, nullable=False, default=datetime.datetime.now, onupdate=datetime.datetime.now)
|
||||
|
||||
__table_args__ = (Index("idx_schedule_date", "date"),)
|
||||
|
||||
|
||||
class MaiZoneScheduleStatus(Base):
|
||||
"""麦麦空间日程处理状态模型"""
|
||||
|
||||
__tablename__ = "maizone_schedule_status"
|
||||
|
||||
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
|
||||
datetime_hour: Mapped[str] = mapped_column(get_string_field(13), nullable=False, unique=True, index=True)
|
||||
activity: Mapped[str] = mapped_column(Text, nullable=False)
|
||||
is_processed: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
|
||||
processed_at: Mapped[datetime.datetime | None] = mapped_column(DateTime, nullable=True)
|
||||
story_content: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
send_success: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
|
||||
created_at: Mapped[datetime.datetime] = mapped_column(DateTime, nullable=False, default=datetime.datetime.now)
|
||||
updated_at: Mapped[datetime.datetime] = mapped_column(DateTime, nullable=False, default=datetime.datetime.now, onupdate=datetime.datetime.now)
|
||||
|
||||
__table_args__ = (
|
||||
Index("idx_maizone_datetime_hour", "datetime_hour"),
|
||||
Index("idx_maizone_is_processed", "is_processed"),
|
||||
)
|
||||
|
||||
|
||||
class BanUser(Base):
|
||||
"""被禁用用户模型
|
||||
|
||||
使用 SQLAlchemy 2.0 类型标注写法，方便静态类型检查器识别实际字段类型，
|
||||
避免在业务代码中对属性赋值时报 `Column[...]` 不可赋值的告警。
|
||||
"""
|
||||
|
||||
__tablename__ = "ban_users"
|
||||
|
||||
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
|
||||
platform: Mapped[str] = mapped_column(Text, nullable=False)
|
||||
user_id: Mapped[str] = mapped_column(get_string_field(50), nullable=False, index=True)
|
||||
violation_num: Mapped[int] = mapped_column(Integer, nullable=False, default=0, index=True)
|
||||
reason: Mapped[str] = mapped_column(Text, nullable=False)
|
||||
created_at: Mapped[datetime.datetime] = mapped_column(DateTime, nullable=False, default=datetime.datetime.now)
|
||||
|
||||
__table_args__ = (
|
||||
Index("idx_violation_num", "violation_num"),
|
||||
Index("idx_banuser_user_id", "user_id"),
|
||||
Index("idx_banuser_platform", "platform"),
|
||||
Index("idx_banuser_platform_user_id", "platform", "user_id"),
|
||||
)
|
||||
|
||||
|
||||
class AntiInjectionStats(Base):
|
||||
"""反注入系统统计模型"""
|
||||
|
||||
__tablename__ = "anti_injection_stats"
|
||||
|
||||
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
|
||||
total_messages: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
|
||||
"""总处理消息数"""
|
||||
|
||||
detected_injections: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
|
||||
"""检测到的注入攻击数"""
|
||||
|
||||
blocked_messages: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
|
||||
"""被阻止的消息数"""
|
||||
|
||||
shielded_messages: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
|
||||
"""被加盾的消息数"""
|
||||
|
||||
processing_time_total: Mapped[float] = mapped_column(Float, nullable=False, default=0.0)
|
||||
"""总处理时间"""
|
||||
|
||||
total_process_time: Mapped[float] = mapped_column(Float, nullable=False, default=0.0)
|
||||
"""累计总处理时间"""
|
||||
|
||||
last_process_time: Mapped[float] = mapped_column(Float, nullable=False, default=0.0)
|
||||
"""最近一次处理时间"""
|
||||
|
||||
error_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
|
||||
"""错误计数"""
|
||||
|
||||
start_time: Mapped[datetime.datetime] = mapped_column(DateTime, nullable=False, default=datetime.datetime.now)
|
||||
"""统计开始时间"""
|
||||
|
||||
created_at: Mapped[datetime.datetime] = mapped_column(DateTime, nullable=False, default=datetime.datetime.now)
|
||||
"""记录创建时间"""
|
||||
|
||||
updated_at: Mapped[datetime.datetime] = mapped_column(DateTime, nullable=False, default=datetime.datetime.now, onupdate=datetime.datetime.now)
|
||||
"""记录更新时间"""
|
||||
|
||||
__table_args__ = (
|
||||
Index("idx_anti_injection_stats_created_at", "created_at"),
|
||||
Index("idx_anti_injection_stats_updated_at", "updated_at"),
|
||||
)
|
||||
|
||||
|
||||
class CacheEntries(Base):
|
||||
"""工具缓存条目模型"""
|
||||
|
||||
__tablename__ = "cache_entries"
|
||||
|
||||
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
|
||||
cache_key: Mapped[str] = mapped_column(get_string_field(500), nullable=False, unique=True, index=True)
|
||||
"""缓存键，包含工具名、参数和代码哈希"""
|
||||
|
||||
cache_value: Mapped[str] = mapped_column(Text, nullable=False)
|
||||
"""缓存的数据，JSON格式"""
|
||||
|
||||
expires_at: Mapped[float] = mapped_column(Float, nullable=False, index=True)
|
||||
"""过期时间戳"""
|
||||
|
||||
tool_name: Mapped[str] = mapped_column(get_string_field(100), nullable=False, index=True)
|
||||
"""工具名称"""
|
||||
|
||||
created_at: Mapped[float] = mapped_column(Float, nullable=False, default=lambda: time.time())
|
||||
"""创建时间戳"""
|
||||
|
||||
last_accessed: Mapped[float] = mapped_column(Float, nullable=False, default=lambda: time.time())
|
||||
"""最后访问时间戳"""
|
||||
|
||||
access_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
|
||||
"""访问次数"""
|
||||
|
||||
__table_args__ = (
|
||||
Index("idx_cache_entries_key", "cache_key"),
|
||||
Index("idx_cache_entries_expires_at", "expires_at"),
|
||||
Index("idx_cache_entries_tool_name", "tool_name"),
|
||||
Index("idx_cache_entries_created_at", "created_at"),
|
||||
)
|
||||
|
||||
|
||||
class MonthlyPlan(Base):
|
||||
"""月度计划模型"""
|
||||
|
||||
__tablename__ = "monthly_plans"
|
||||
|
||||
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
|
||||
plan_text: Mapped[str] = mapped_column(Text, nullable=False)
|
||||
target_month: Mapped[str] = mapped_column(String(7), nullable=False, index=True)
|
||||
status: Mapped[str] = mapped_column(get_string_field(20), nullable=False, default="active", index=True)
|
||||
usage_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
|
||||
last_used_date: Mapped[str | None] = mapped_column(String(10), nullable=True, index=True)
|
||||
created_at: Mapped[datetime.datetime] = mapped_column(DateTime, nullable=False, default=datetime.datetime.now)
|
||||
is_deleted: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False, index=True)
|
||||
|
||||
__table_args__ = (
|
||||
Index("idx_monthlyplan_target_month_status", "target_month", "status"),
|
||||
Index("idx_monthlyplan_last_used_date", "last_used_date"),
|
||||
Index("idx_monthlyplan_usage_count", "usage_count"),
|
||||
)
|
||||
|
||||
|
||||
class PermissionNodes(Base):
|
||||
"""权限节点模型"""
|
||||
|
||||
__tablename__ = "permission_nodes"
|
||||
|
||||
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
|
||||
node_name: Mapped[str] = mapped_column(get_string_field(255), nullable=False, unique=True, index=True)
|
||||
description: Mapped[str] = mapped_column(Text, nullable=False)
|
||||
plugin_name: Mapped[str] = mapped_column(get_string_field(100), nullable=False, index=True)
|
||||
default_granted: Mapped[bool] = mapped_column(Boolean, default=False, nullable=False)
|
||||
created_at: Mapped[datetime.datetime] = mapped_column(DateTime, default=datetime.datetime.utcnow, nullable=False)
|
||||
|
||||
__table_args__ = (
|
||||
Index("idx_permission_plugin", "plugin_name"),
|
||||
Index("idx_permission_node", "node_name"),
|
||||
)
|
||||
|
||||
|
||||
class UserPermissions(Base):
|
||||
"""用户权限模型"""
|
||||
|
||||
__tablename__ = "user_permissions"
|
||||
|
||||
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
|
||||
platform: Mapped[str] = mapped_column(get_string_field(50), nullable=False, index=True)
|
||||
user_id: Mapped[str] = mapped_column(get_string_field(100), nullable=False, index=True)
|
||||
permission_node: Mapped[str] = mapped_column(get_string_field(255), nullable=False, index=True)
|
||||
granted: Mapped[bool] = mapped_column(Boolean, default=True, nullable=False)
|
||||
granted_at: Mapped[datetime.datetime] = mapped_column(DateTime, default=datetime.datetime.utcnow, nullable=False)
|
||||
granted_by: Mapped[str | None] = mapped_column(get_string_field(100), nullable=True)
|
||||
|
||||
__table_args__ = (
|
||||
Index("idx_user_platform_id", "platform", "user_id"),
|
||||
Index("idx_user_permission", "platform", "user_id", "permission_node"),
|
||||
Index("idx_permission_granted", "permission_node", "granted"),
|
||||
)
|
||||
|
||||
|
||||
class UserRelationships(Base):
|
||||
"""用户关系模型 - 存储用户与bot的关系数据"""
|
||||
|
||||
__tablename__ = "user_relationships"
|
||||
|
||||
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
|
||||
user_id: Mapped[str] = mapped_column(get_string_field(100), nullable=False, unique=True, index=True)
|
||||
user_name: Mapped[str | None] = mapped_column(get_string_field(100), nullable=True)
|
||||
user_aliases: Mapped[str | None] = mapped_column(Text, nullable=True) # 用户别名，逗号分隔
|
||||
relationship_text: Mapped[str | None] = mapped_column(Text, nullable=True)
|
||||
preference_keywords: Mapped[str | None] = mapped_column(Text, nullable=True) # 用户偏好关键词，逗号分隔
|
||||
relationship_score: Mapped[float] = mapped_column(Float, nullable=False, default=0.3) # 关系分数(0-1)
|
||||
last_updated: Mapped[float] = mapped_column(Float, nullable=False, default=time.time)
|
||||
created_at: Mapped[datetime.datetime] = mapped_column(DateTime, default=datetime.datetime.utcnow, nullable=False)
|
||||
|
||||
__table_args__ = (
|
||||
Index("idx_user_relationship_id", "user_id"),
|
||||
Index("idx_relationship_score", "relationship_score"),
|
||||
Index("idx_relationship_updated", "last_updated"),
|
||||
)
|
||||
Reference in New Issue
Block a user