graph

case class DeeplangGraph(nodes: Set[DeeplangNode] = Set.empty, edges: Set[Edge] = Set()) extends DirectedGraph[DOperation, DeeplangGraph] with KnowledgeInference with NodeInferenceImpl with Product with Serializable
case class GraphKnowledge(resultsMap: Map[Id, NodeInferenceResult]) extends Product with Serializable

Represents inferred information about Graph which is send and used by front-end.
Represents inferred information about Graph which is send and used by front-end. It contains mapping from nodes to their inferred knowledge on output ports, as well as inferred warnings and errors.
trait KnowledgeInference extends AnyRef
trait NodeInference extends AnyRef
trait NodeInferenceImpl extends NodeInference
case class NodeInferenceResult(ports: Vector[DKnowledge[DOperable]], warnings: InferenceWarnings = InferenceWarnings.empty, errors: InferenceErrors = Vector.empty) extends Product with Serializable
case class SinglePortKnowledgeInferenceResult(knowledge: DKnowledge[DOperable], warnings: InferenceWarnings, errors: InferenceErrors) extends Product with Serializable

object DeeplangGraph extends Serializable
object DefaultKnowledgeService
object GraphKnowledge extends Serializable
object NodeInferenceResult extends Serializable
object TypesAccordance

Represents degree of accordance of given DKnowledge with an input port of some operation.
Represents degree of accordance of given DKnowledge with an input port of some operation. DKnowledge tells about objects that can be potentially put into a port. This port has a type qualifier. Thus, we can consider following cases: * all types of objects in DKnowledge can be put into port * not all, but some types of objects can be put into port * none of types can be put into port * DKnowledge was not provided for the port In each of this cases different errors and warnings can be returned.