**Description**

This operator should cancel running workflow template `on_kill`. This option probably should be configurable because of request_id prameter in a job definition: https://googleapis.dev/python/dataproc/latest/gapic/v1/api.html#google.cloud.dataproc_v1.WorkflowTemplateServiceClient.instantiate_inline_workflow_template
https://googleapis.dev/python/dataproc/latest/gapic/v1/api.html#google.cloud.dataproc_v1.WorkflowTemplateServiceClient.instantiate_workflow_template

Note this will have to cancle the Google Long Running Operation for the workflow template (which will in turn cancel all children jobs and clean up relevant cluster).

**Use case / motivation**

Remove dangling workflow templates

**Related Issues**
#10381
#6371
if not self.graceful_decommission_timeout:
            return None
        timeout = None
        match = re.fullmatch(r"(\d+)([smdh])", self.graceful_decommission_timeout)
        if match:
            val = int(match.group(1))
            unit = match.group(2)
            if unit == "s":
                timeout = val
            elif unit == "m":
                timeout = int(timedelta(minutes=val).total_seconds())
            elif unit == "h":
                timeout = int(timedelta(hours=val).total_seconds())
            elif unit == "d":
                timeout = int(timedelta(days=val).total_seconds())
        if not timeout:
            raise AirflowException(
                "DataprocClusterScaleOperator "
                " should be expressed in day, hours, minutes or seconds. "
                " i.e. 1d, 4h, 10m, 30s"
            )
        return {"seconds": timeout}
    def execute(self, context: Context) -> None: