boraberke commented on code in PR #38868:
URL: https://github.com/apache/airflow/pull/38868#discussion_r1626653075
##########
airflow/providers/dbt/cloud/hooks/dbt.py:
##########
@@ -439,6 +443,24 @@ def trigger_job_run(
}
payload.update(additional_run_config)
+ if retry_from_failure:
+ latest_run = self.get_job_runs(
+ account_id=account_id,
+ payload={
+ "job_definition_id": job_id,
+ "order_by": "-created_at",
+ "limit": 1,
+ },
+ ).json()["data"]
+ if latest_run and latest_run[0]["status"] ==
DbtCloudJobRunStatus.ERROR.value:
Review Comment:
Thank you for your feedback Josh! Really appreciated it!
On your suggestion, I don't think it should. When I checked a cancelled run
from api, it has `can_retry` parameter set to `false`, which means even if we
call `rerun` endpoint, it will run as normal run as explained by the
[api](https://docs.getdbt.com/dbt-cloud/api-v2#/operations/Retry%20Failed%20Job).
Below is an example data returned for a canceled job run:
```
"status": 30,
"status_humanized": "Cancelled",
"can_retry": false,
"retry_not_supported_reason": "RETRY_NOT_FAILED_RUN",
```
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