Files
company-ai-platform/app/modules/events/models.py
JiuContinent 0cda45238a ```
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
```
2026-07-09 17:26:19 +08:00

42 lines
1.9 KiB
Python

from datetime import datetime
from sqlalchemy import JSON, DateTime, Integer, String, Text
from sqlalchemy.orm import Mapped, mapped_column
from app.core.constants import ActorValue
from app.core.db_base import Base
from app.core.time import utc_now
from app.modules.events.constants import EventSource, EventStatus
class DomainEvent(Base):
__tablename__ = "domain_events"
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
event_id: Mapped[str] = mapped_column(String(64), unique=True, index=True)
event_type: Mapped[str] = mapped_column(String(128), index=True)
source: Mapped[str] = mapped_column(String(64), default=EventSource.API, index=True)
aggregate_type: Mapped[str] = mapped_column(String(128), index=True)
aggregate_id: Mapped[str | None] = mapped_column(String(128), nullable=True, index=True)
actor: Mapped[str] = mapped_column(String(128), default=ActorValue.SYSTEM, index=True)
payload: Mapped[dict | None] = mapped_column(JSON, nullable=True)
status: Mapped[str] = mapped_column(String(32), default=EventStatus.PENDING, index=True)
attempts: Mapped[int] = mapped_column(Integer, default=0)
idempotency_key: Mapped[str | None] = mapped_column(
String(255),
nullable=True,
unique=True,
index=True,
)
last_error: Mapped[str | None] = mapped_column(Text, nullable=True)
next_attempt_at: Mapped[datetime | None] = mapped_column(
DateTime,
nullable=True,
index=True,
)
locked_until: Mapped[datetime | None] = mapped_column(DateTime, nullable=True, index=True)
locked_by: Mapped[str | None] = mapped_column(String(128), nullable=True, index=True)
max_attempts: Mapped[int] = mapped_column(Integer, default=3)
created_at: Mapped[datetime] = mapped_column(DateTime, default=utc_now, index=True)
processed_at: Mapped[datetime | None] = mapped_column(DateTime, nullable=True, index=True)