A started workflow evaluates the functions of the processing nodes on the data items traversing the pipeline using the assigned computational resources. The execution happens in the background i.e. the user has the choic to interact with the running pipeline via the Plumber object. Further components of a workflow i.e. Piper and NuMap instances log runtime messeges. These logs can be saved to disk and inspected when needed.
Logging behavior is custimized by papy.util.runtime, interaction is possible through papy.core.Plumber, exceptions, error and timeouts are handled by the processing nodes i.e. papy.core.Piper instances.
A function to configure at what importance level and how logged messeges should be saved or displayed is available in the papy.util.runtime module.
Please see the methods of the Plumber object.
PaPy workflows are by default resistant to all exceptions that occur as a result of error in user-provided worker functions.
To Be Written.