Databricks DBX named parameters through job

I am trying to implement this(where I don't have variables in the conf file but passed it as named arguments)

mentioned here.

When running in local mode and a python debugger, I can easily pass this as:

Fundingsobj = SomeClass(init_conf={"localmode": "true", "fundingsdatapath": "tmp/fundings"})
Fundingsobj.launch()

where SomeClass inherits Task

However, I can't seem to pass this through the deployment.yaml. I have tried many versions

This is how I tried to read

class SomeClass(Task):
    """Class containing methods for generating test data."""

    def initialize(self):
        """Initialize method."""
        self.localmode = self.conf["localmode"]

This works fine, if I use the normal --conf-file option in the deployment.yaml and then provide the values there, or use the init_conf when I use the local debugger.

How do I pass variables to the job without relying on a conf file?

Idea is, after the job is deployed in Databricks, I would like to schedule it from Airflow by passing variables everyday.

Error while launching the job -

EDIT 1: I have tried to use kwargs, but even that gives me the same error:

named_parameters:  {"localmode": "true","fundingsdatapath": "tmp/fundings"}

and then try to consume, using

def initialize(self, **kwargs):
        """Initialize method."""
        self.localmode = kwargs["localmode"] 

I found the answer. Basically, one has to use argparse for this.

So, after I defined my yaml to be (in deployment.yaml)

      - name: "clientscoretestdatageneratorusingparams"
        tasks:
          - task_key: "loadtestdataparams"
            <<:
              - *basic-static-cluster
            libraries:
              - pypi:
                  package: someadditionalpkg
                  repo: http://internalartifactoryurl
            python_wheel_task:
              package_name: "workflows"
              entry_point: clientscoretestdatagenerator
              named_parameters: {"localmode": "true","fundingsdatapath": "tmp/fundings"}

then in the entrypoint method

from argparse import ArgumentParser
....class and its other methods.....
....................................
def entrypoint():  # pragma: no cover
    """Entrypoint for spark wheel jobs."""
    parser = ArgumentParser()
    parser.add_argument("--localmode", dest="localmode", default=False)
    parser.add_argument("--fundingsdatapath", dest="fundingsdatapath", default="tmp/fundings")
    parser.add_argument("--datalakename", dest="datalakename", default="datalakename")

    args = parser.parse_args()
    fundingsobj = GenerateClientScoreData()
    fundingsobj.launch(args)

and then consume using

   def initialize(self, args):
       """Initialize method."""
       self.localmode = args.localmode