pyiron_workflow.knowledge module

pyiron_workflow.knowledge.export_to_dict(node: Node, change: SemantikonRecipeChange | None = None, with_values: bool = True, with_default: bool = True) → dict[source]
pyiron_workflow.knowledge.is_involved(validation: tuple[bool, ConjunctiveGraph | Graph, str], new_edge_change: SemantikonRecipeChange) → bool[source]
pyiron_workflow.knowledge.is_valid(validation: tuple[bool, ConjunctiveGraph | Graph, str]) → bool[source]
pyiron_workflow.knowledge.parse_workflow(workflow: ~pyiron_workflow.workflow.Workflow, with_values: bool = True, with_default: bool = True, graph: ~rdflib.graph.Graph | None = None, inherit_properties: bool = True, ontology=<class 'semantikon.ontology.SNS'>, append_missing_items: bool = True) → Graph[source]

Generate RDF graph from a pyiron workflow object

Parameters:

  • workflow (pyiron_workflow.workflow.Workflow) – workflow object

  • with_values (bool) – include channel values in the graph

  • with_default (bool) – include default values in the graph

  • graph (rdflib.Graph) – graph to add workflow information to

Returns:

graph containing workflow information

Return type:

(rdflib.Graph)

pyiron_workflow.knowledge.validate_workflow(root, new_edge_change: SemantikonRecipeChange | None = None, knowledge: Graph | None = None) → tuple[bool, ConjunctiveGraph | Graph, str][source]

A shortcut for running semantikon.validate_values on a graph generated by a pyiron_workflow node (the graph root node).

Takes care of converting the workflow to a compatible representation, and allows new edges to be added prior to validation.

Parameters:

  • root – The workflow or macro to validate.

  • new_edge_change – A (semantikon-representation) node path to where the new edge

  • added. (should be)

  • knowledge – Optional additional knoweldge to apply at validation time.

Returns:

The validation report.

Return type:

dict