nirs4all.pipeline.execution.result module

Result types for pipeline execution.

class nirs4all.pipeline.execution.result.ArtifactMeta(name: str, content_hash: str, path: str, format: str, format_version: str = '', nirs4all_version: str = '', metadata: dict[str, ~typing.Any]=<factory>)[source]

Bases: object

Metadata about a persisted artifact.

Variables:

  • name (str) – Artifact identifier (e.g., ‘model’, ‘scaler’)

  • content_hash (str) – Content-based hash for deduplication

  • path (str) – Relative path from artifacts directory

  • format (str) – Artifact format (e.g., ‘joblib’, ‘h5’, ‘safetensors’)

  • format_version (str) – Version of the library used (e.g., ‘sklearn==1.3.0’)

  • nirs4all_version (str) – Version of nirs4all used (e.g., ‘0.4.1’)

  • metadata (dict[str, Any]) – Additional artifact metadata

content_hash: str
format: str
format_version: str = ''
metadata: dict[str, Any]
name: str
nirs4all_version: str = ''
path: str
class nirs4all.pipeline.execution.result.StepResult(updated_context: ExecutionContext, artifacts: list[Any] = <factory>, outputs: list[Any] = <factory>, predictions: Predictions | None = None)[source]

Bases: object

Result of executing a single pipeline step.

Variables:

  • updated_context (nirs4all.pipeline.config.context.ExecutionContext) – Updated execution context after step

  • artifacts (list[Any]) – List of artifacts persisted during step execution

  • outputs (list[Any]) – List of output files saved during step execution

  • predictions (nirs4all.data.predictions.Predictions | None) – Optional predictions generated by this step

artifacts: list[Any]
outputs: list[Any]
predictions: Predictions | None = None
updated_context: ExecutionContext