36 lines
1.7 KiB
Python
36 lines
1.7 KiB
Python
from typing import TYPE_CHECKING, List, Optional
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from sqlalchemy import JSON
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from letta.orm import FileMetadata
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from letta.orm.custom_columns import EmbeddingConfigColumn
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from letta.orm.mixins import OrganizationMixin
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from letta.orm.sqlalchemy_base import SqlalchemyBase
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from letta.schemas.embedding_config import EmbeddingConfig
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from letta.schemas.source import Source as PydanticSource
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if TYPE_CHECKING:
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from letta.orm.organization import Organization
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from letta.orm.file import FileMetadata
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from letta.orm.passage import SourcePassage
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from letta.orm.agent import Agent
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class Source(SqlalchemyBase, OrganizationMixin):
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"""A source represents an embedded text passage"""
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__tablename__ = "sources"
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__pydantic_model__ = PydanticSource
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name: Mapped[str] = mapped_column(doc="the name of the source, must be unique within the org", nullable=False)
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description: Mapped[str] = mapped_column(nullable=True, doc="a human-readable description of the source")
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embedding_config: Mapped[EmbeddingConfig] = mapped_column(EmbeddingConfigColumn, doc="Configuration settings for embedding.")
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metadata_: Mapped[Optional[dict]] = mapped_column(JSON, nullable=True, doc="metadata for the source.")
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# relationships
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organization: Mapped["Organization"] = relationship("Organization", back_populates="sources")
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files: Mapped[List["FileMetadata"]] = relationship("FileMetadata", back_populates="source", cascade="all, delete-orphan")
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passages: Mapped[List["SourcePassage"]] = relationship("SourcePassage", back_populates="source", cascade="all, delete-orphan")
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agents: Mapped[List["Agent"]] = relationship("Agent", secondary="sources_agents", back_populates="sources")
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