torchcell.knowledge_graphs.releases.KgRelease

class KgRelease(*, release: str, version: str, torchcell_commit: str, torchcell_version: str | None = None, torchcell_tag: str | None = None, built_at: str, biocypher_out: str, neo4j_version: str | None = None, n_nodes: int | None = None, datasets: dict[str, ~torchcell.knowledge_graphs.releases.ReleaseDataset], closures: dict[str, dict[str, str]] = <factory>, artifact_refs: dict[str, list[~torchcell.knowledge_graphs.kg_manifest.ArtifactPointer]] | None = None, organisms: list[~typing.Literal['scerevisiae', 'ecoli', 'pputida']] | None = None)

Bases: BaseModel

The self-description a served store carries as its KgRelease node.

property n_datasets: int

Number of datasets in the release.

to_properties() → dict[str, Any]

Flat property map for the graph node (maps go in as JSON strings).

classmethod from_properties(props: dict[str, Any]) → KgRelease

Inverse of to_properties().

model_config: ClassVar[ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].