feat: 添加AI记忆模块和事件调度系统 - 新增AI记忆模块,支持本地记忆召回和自动写入功能 - 实现事件调度系统,支持批量处理待定事件和重试机制 - 集成心跳监控机制,跟踪API、调度器和工作节点状态 - 扩展仪表板数据统计,包含AI记忆条目和心跳概要 - 添加企业运营分析报告功能,提供财务、采购等多维度分析 - 更新配置设置,增加事件调度和AI记忆相关参数 - 优化任务队列,添加事件分发任务类型 - 扩展审计日志,记录AI记忆操作和事件调度行为 - 实现领域事件模型,支持事件持久化和状态管理 - 添加观察性服务,监控系统组件健康状况 ```
34 lines
1.6 KiB
Python
34 lines
1.6 KiB
Python
from datetime import datetime
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from sqlalchemy import JSON, DateTime, Integer, String, Text
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from sqlalchemy.orm import Mapped, mapped_column
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from app.core.constants import ActorValue
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from app.core.db_base import Base
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from app.core.time import utc_now
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from app.modules.ai_memory.constants import AIMemoryScope, AIMemorySource, AIMemoryStatus
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class AIMemoryEntry(Base):
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__tablename__ = "ai_memory_entries"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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code: Mapped[str] = mapped_column(String(64), unique=True, index=True)
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scope: Mapped[str] = mapped_column(String(64), default=AIMemoryScope.GLOBAL, index=True)
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subject: Mapped[str] = mapped_column(String(128), index=True)
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content: Mapped[str] = mapped_column(Text)
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summary: Mapped[str | None] = mapped_column(Text, nullable=True)
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tags: Mapped[list | None] = mapped_column(JSON, nullable=True)
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source: Mapped[str] = mapped_column(String(64), default=AIMemorySource.AUTO, index=True)
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importance: Mapped[int] = mapped_column(Integer, default=1, index=True)
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status: Mapped[str] = mapped_column(String(32), default=AIMemoryStatus.ACTIVE, index=True)
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actor: Mapped[str] = mapped_column(String(128), default=ActorValue.SYSTEM, index=True)
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last_used_at: Mapped[datetime | None] = mapped_column(DateTime, nullable=True, index=True)
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expires_at: Mapped[datetime | None] = mapped_column(DateTime, nullable=True, index=True)
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created_at: Mapped[datetime] = mapped_column(DateTime, default=utc_now, index=True)
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updated_at: Mapped[datetime] = mapped_column(
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DateTime,
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default=utc_now,
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onupdate=utc_now,
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)
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