AlejandroMorgante commented on issue #76568: URL: https://github.com/apache/airflow/issues/76568#issuecomment-6692803343
Validated the following changes included in the current provider release candidates: - `apache-airflow-providers-amazon==9.40.0rc1` — #72542: `example_eks_with_nodegroups.py` passed against real AWS EKS (`1 passed, 1 warning in 1380.15s`), verifying command execution in an existing Pod, XCom output and cleanup. All 18 focused regressions passed. With Kubernetes provider 10.21.0, existing operators remained usable and the exec operator raised the required-version error. Independent cleanup checks confirmed no remaining cluster, launch template or Auto Scaling Group, and both EC2 instances terminated. - `apache-airflow-providers-databricks==7.24.0rc1` — #74386: `example_databricks_agent.py` passed against real Databricks Apps with OAuth and a deterministic fixture (`1 passed, 1 warning in 38.19s`), verifying Common AI, synchronous and deferrable invocation and returned input/session data. All 200 focused regressions passed, including reruns with tenacity 8.3.0 and Common AI 1.0.0. The initial system test on Airflow 3.3.2 failed because `Dag.test()` discarded defer kwargs; the unchanged RC passed on 3.4.0, which includes #69942. The temporary app, fixture files and OAuth secret were removed; the original app was left stopped. Environment: Breeze, Python 3.11.18; Airflow 3.3.2 for EKS/regressions and 3.4.0 for the passing Databricks system test; providers installed from PyPI RC wheels. Deferrable execution used the inline trigger runner in `Dag.test()`. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
