Detect Pending_rerun state for spark application as a prometheus metric

I am using a
apiVersion: "sparkoperator.k8s.io/v1beta2"
I have a kind
**kind: SparkApplication**
under which there are many spark jobs. However one of the **SparkApplication** is under PENDING_RERUN state, this is now for more than 35 days . We want to detect this problem and give a prometheus alert. Is there any prometheus query that catches this condition?
my kubernetes query gives this result.

**kubectl get sparkapplication -n <>
NAME STATUS ATTEMPTS START FINISH AGE
A PENDING_RERUN 35d**

I had a look at documentation and used all of these

"spark_app_count"
"spark_app_submit_count"
"spark_app_success_count"
"spark_app_failure_count"
"spark_app_running_count"

however none of these catch the PENDING_RERUN state.

thanks in advance

Start with the SparkApplication metrics documentation and the existing spark_app_count, spark_app_submit_count, spark_app_success_count, spark_app_failure_count, and spark_app_running_count metrics. Determine how the PENDING_RERUN state is represented, then define a Prometheus metric or query that detects it and verify that it supports an alert for applications remaining in that state.

Written by the indexing model from the issue text.