Feature/pass airflow confi as job param

[SubhamSinghal]

Fixes: #39002

Tests:

1. empty airflow config and empty job parameter -- empty job parameter
2. empty airflow config and some job parameter in databricks operator -- job params from operator get applied
3. non empty airflow config with empty job parameter -- airflow config gets passed as job param
4. non empty airflow config with non empty job parameter -- job params from operator get applied

[SubhamSinghal]

@dirrao Let me know if it makes more sense to add a flag "import_airflow_config" and when it is True then set airflow config as job_params in databricks jobs.

[Lee-W]

Suggested change

	job_params = self.params.items() if self.params.items() else {}
	param_list = []
	for k, v in job_params:
	param_list.append({"name": k, "default": v})
	self.json["parameters"] = param_list
	if self.params.items() is not None:
	self.json["parameters"] = [{"name": k, "default": v} for for k, v in self.params.items()]
	else:
	self.json["parameters"] = {}

[Lee-W]

Where is this self.params from?

[SubhamSinghal]

These are airflow configs