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letta-server/letta/orm/organization.py
2024-11-13 10:59:46 -08:00

34 lines
1.8 KiB
Python

from typing import TYPE_CHECKING, List
from sqlalchemy.orm import Mapped, mapped_column, relationship
from letta.orm.file import FileMetadata
from letta.orm.sqlalchemy_base import SqlalchemyBase
from letta.schemas.organization import Organization as PydanticOrganization
if TYPE_CHECKING:
from letta.orm.tool import Tool
from letta.orm.user import User
class Organization(SqlalchemyBase):
"""The highest level of the object tree. All Entities belong to one and only one Organization."""
__tablename__ = "organizations"
__pydantic_model__ = PydanticOrganization
name: Mapped[str] = mapped_column(doc="The display name of the organization.")
# relationships
users: Mapped[List["User"]] = relationship("User", back_populates="organization", cascade="all, delete-orphan")
tools: Mapped[List["Tool"]] = relationship("Tool", back_populates="organization", cascade="all, delete-orphan")
sources: Mapped[List["Source"]] = relationship("Source", back_populates="organization", cascade="all, delete-orphan")
agents_tags: Mapped[List["AgentsTags"]] = relationship("AgentsTags", back_populates="organization", cascade="all, delete-orphan")
files: Mapped[List["FileMetadata"]] = relationship("FileMetadata", back_populates="organization", cascade="all, delete-orphan")
# TODO: Map these relationships later when we actually make these models
# below is just a suggestion
# agents: Mapped[List["Agent"]] = relationship("Agent", back_populates="organization", cascade="all, delete-orphan")
# tools: Mapped[List["Tool"]] = relationship("Tool", back_populates="organization", cascade="all, delete-orphan")
# documents: Mapped[List["Document"]] = relationship("Document", back_populates="organization", cascade="all, delete-orphan")