**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
@classmethod
    def setup_class(cls):
        super().setup_class()
        cls.extra_links_expected_calls_base = [
            call.ti.xcom_push(execution_date=None, key="dataproc_cluster", value=DATAPROC_CLUSTER_EXPECTED)
        ]
class TestsClusterGenerator:
    def test_image_version(self):
        with pytest.raises(ValueError) as ctx:
            ClusterGenerator(
                custom_image="custom_image",
                image_version="image_version",
                project_id=GCP_PROJECT,
                cluster_name=CLUSTER_NAME,
            )
            assert "custom_image and image_version" in str(ctx.value)
    def test_custom_image_family_error_with_image_version(self):
        with pytest.raises(ValueError) as ctx:
            ClusterGenerator(
                image_version="image_version",
                custom_image_family="custom_image_family",
                project_id=GCP_PROJECT,
                cluster_name=CLUSTER_NAME,
            )
            assert "image_version and custom_image_family" in str(ctx.value)
    def test_custom_image_family_error_with_custom_image(self):