Remove the commit interval option as it is espacially for kafka
streams. Instead use the configurations option, which takes key
value pairs and set these as environment variables for the UC.

Add persistenVolume and persistentVolumeClaim to have a persistent
storage for the resulst of the theodolite job.

Pass more configratioin from the theodolite scrip to run uc script
instead of using defaults.
Use the result path in the analyis.

Apply the DRY principle and remove redundancies.
Only the domain restriction and search strategies varies and
can therefore only set.

Add an option for using a results folder.
This should enable the kuberentes job to safe this to a volume.

Make the functions parameterized in order to call the main method
from another python class. Before the methods used a global
variable to access the values.

The load of the program arguments are moved to the main function
call and the rest is extracted into a main function, that get
the needed arguments passed.

Use the parameters -res and -reso to reset the kubernetes cluster.
With -reso only the cluster is resetted in nothing else is executed.
With -res the cluster gets resetted before execution of the usecase.