b8e9a80d93
* wait I forgot to comit locally * cp the entire core directory and then rm the .git subdir
40 lines
1.7 KiB
Python
40 lines
1.7 KiB
Python
from typing import TYPE_CHECKING, Optional
|
|
|
|
from sqlalchemy import JSON, Enum, Index, UniqueConstraint
|
|
from sqlalchemy.orm import Mapped, mapped_column
|
|
|
|
from letta.orm.custom_columns import EmbeddingConfigColumn
|
|
from letta.orm.mixins import OrganizationMixin
|
|
from letta.orm.sqlalchemy_base import SqlalchemyBase
|
|
from letta.schemas.embedding_config import EmbeddingConfig
|
|
from letta.schemas.enums import VectorDBProvider
|
|
from letta.schemas.source import Source as PydanticSource
|
|
|
|
if TYPE_CHECKING:
|
|
pass
|
|
|
|
|
|
class Source(SqlalchemyBase, OrganizationMixin):
|
|
"""A source represents an embedded text passage"""
|
|
|
|
__tablename__ = "sources"
|
|
__pydantic_model__ = PydanticSource
|
|
|
|
__table_args__ = (
|
|
Index("source_created_at_id_idx", "created_at", "id"),
|
|
UniqueConstraint("name", "organization_id", name="uq_source_name_organization"),
|
|
{"extend_existing": True},
|
|
)
|
|
|
|
name: Mapped[str] = mapped_column(doc="the name of the source, must be unique within the org", nullable=False)
|
|
description: Mapped[str] = mapped_column(nullable=True, doc="a human-readable description of the source")
|
|
instructions: Mapped[str] = mapped_column(nullable=True, doc="instructions for how to use the source")
|
|
embedding_config: Mapped[EmbeddingConfig] = mapped_column(EmbeddingConfigColumn, doc="Configuration settings for embedding.")
|
|
metadata_: Mapped[Optional[dict]] = mapped_column(JSON, nullable=True, doc="metadata for the source.")
|
|
vector_db_provider: Mapped[VectorDBProvider] = mapped_column(
|
|
Enum(VectorDBProvider),
|
|
nullable=False,
|
|
default=VectorDBProvider.NATIVE,
|
|
doc="The vector database provider used for this source's passages",
|
|
)
|