Testing Mwaa Workflow
by aws0d6167ad2e6dNo license2.8K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated today
Tests Amazon MWAA workflow execution end-to-end: trigger a run and monitor it to completion for Provisioned (Python DAG, via Airflow REST API) and Serverless (YAML workflow, via StartWorkflowRun). Verifies the artifact is deployed and parse-ready, triggers with confirmation, polls to terminal state, and on failure delegates diagnosis to debugging-mwaa-workflow and artifact/redeploy fixes to authoring-mwaa-workflow, then retests up to a capped number of attempts. Triggers on: test my DAG, test my workflow, run my DAG, trigger a test run, does my DAG work, smoke-test the pipeline, verify my workflow runs, execute my DAG to check it. Not applicable to writing or deploying a new workflow (handled by authoring-mwaa-workflow), or for diagnosing why a run failed or root-causing an error (handled by debugging-mwaa-workflow).
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/provisioned-testing.md | 8.8 KB | text/markdown |
| references/serverless-testing.md | 1.4 KB | text/markdown |
| SKILL.md | 15.1 KB | text/markdown |
Source and attribution
Source:aws/agent-toolkit-for-awsinplugins/aws-data-analytics/skills/testing-mwaa-workflowat commit0d6167a
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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