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