Files
company-ai-platform/app/modules/ai_memory/models.py
JiuContinent d7db84571d ```
feat: 添加飞书用户模块和订阅功能支持

- 新增feishu_users模块用于处理飞书用户身份验证和权限管理
- 新增subscriptions模块用于处理订阅相关功能
- 新增personalization模块用于个性化服务
- 在alembic迁移配置中注册新的模型模块
- 在API路由器中添加feishu_users和subscriptions路由
- 实现事件调度服务的改进,包括错误处理和状态更新优化
- 添加飞书命令处理的权限检查机制
- 实现飞书应用票据事件处理
- 改进审计日志记录功能
```
2026-07-27 08:02:17 +08:00

61 lines
2.4 KiB
Python

from datetime import datetime
from sqlalchemy import JSON, DateTime, ForeignKey, Integer, String, Text, UniqueConstraint
from sqlalchemy.orm import Mapped, mapped_column, relationship
from app.core.constants import ActorValue
from app.core.database import Base
from app.core.utils.time import utc_now
from app.modules.feishu_users.models import FeishuUser
from app.modules.ai_memory.constants import (
AIMemoryKind,
AIMemoryScope,
AIMemorySource,
AIMemoryStatus,
)
class AIMemoryEntry(Base):
__tablename__ = "ai_memory_entries"
__table_args__ = (
UniqueConstraint(
"owner_id",
"fingerprint",
name="uq_ai_memory_owner_fingerprint",
),
)
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
code: Mapped[str] = mapped_column(String(64), unique=True, index=True)
fingerprint: Mapped[str | None] = mapped_column(
String(64), nullable=True, index=True
)
owner_id: Mapped[int | None] = mapped_column(
ForeignKey("feishu_users.id", ondelete="CASCADE"),
nullable=True,
index=True,
)
owner: Mapped[FeishuUser | None] = relationship()
kind: Mapped[str] = mapped_column(
String(32),
default=AIMemoryKind.MEMORY,
index=True,
)
scope: Mapped[str] = mapped_column(String(64), default=AIMemoryScope.GLOBAL, index=True)
subject: Mapped[str] = mapped_column(String(128), index=True)
content: Mapped[str] = mapped_column(Text)
summary: Mapped[str | None] = mapped_column(Text, nullable=True)
tags: Mapped[list | None] = mapped_column(JSON, nullable=True)
source: Mapped[str] = mapped_column(String(64), default=AIMemorySource.AUTO, index=True)
importance: Mapped[int] = mapped_column(Integer, default=1, index=True)
status: Mapped[str] = mapped_column(String(32), default=AIMemoryStatus.ACTIVE, index=True)
actor: Mapped[str] = mapped_column(String(128), default=ActorValue.SYSTEM, index=True)
last_used_at: Mapped[datetime | None] = mapped_column(DateTime, nullable=True, index=True)
expires_at: Mapped[datetime | None] = mapped_column(DateTime, nullable=True, index=True)
created_at: Mapped[datetime] = mapped_column(DateTime, default=utc_now, index=True)
updated_at: Mapped[datetime] = mapped_column(
DateTime,
default=utc_now,
onupdate=utc_now,
)