nanobrain-workflow-authoring

To validate a computational workflow, you must check the structural integrity of the DAG configuration to detect cycles, orphans, and disconnected components before execution. This prevents silent runtime failures by enforcing strict schema adherence and link wiring.

Orchestrating event-driven computational pipelines requires managing data flow between steps using a robust trigger-link architecture. This approach handles step-level executors and enforces DAG connectivity rules to route outputs correctly across local and remote environments.

Wiring data links between pipeline steps requires strict adherence to the WorkflowConfig schema to connect data units. Proper link wiring ensures reliable execution and correctly routes dependencies between local processing steps and HPC executors.

Yes, you can use a workflow configuration file to check for orphaned nodes. Structural validation automatically detects cycles, orphans, and disconnected components in your DAG, ensuring all dependencies are met before triggering the execution pipeline.

Multi-step workflows fail silently during execution when structural validation is skipped, leaving cycles or disconnected components in the DAG. Enforcing strict schema adherence and proper link wiring between data units prevents these common runtime silent failures.