get_upstream_dataset_events
Retrieve upstream dataset events for Apache Airflow DAG runs to monitor data dependencies and pipeline triggers within Astronomer Cloud deployments.
Instructions
Get dataset events for a DAG run
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| dag_id | Yes | ||
| dag_run_id | Yes |
Implementation Reference
- src/airflow/dagrun.py:223-227 (handler)The async handler function that executes the tool logic by calling the Airflow DAGRunApi's get_upstream_dataset_events method.async def get_upstream_dataset_events( dag_id: str, dag_run_id: str ) -> List[Union[types.TextContent, types.ImageContent, types.EmbeddedResource]]: response = dag_run_api.get_upstream_dataset_events(dag_id=dag_id, dag_run_id=dag_run_id) return [types.TextContent(type="text", text=str(response.to_dict()))]
- src/airflow/dagrun.py:17-29 (registration)The get_all_functions() returns the registration tuple for the get_upstream_dataset_events tool.def get_all_functions() -> list[tuple[Callable, str, str, bool]]: """Return list of (function, name, description, is_read_only) tuples for registration.""" return [ (post_dag_run, "post_dag_run", "Trigger a DAG by ID", False), (get_dag_runs, "get_dag_runs", "Get DAG runs by ID", True), (get_dag_runs_batch, "get_dag_runs_batch", "List DAG runs (batch)", True), (get_dag_run, "get_dag_run", "Get a DAG run by DAG ID and DAG run ID", True), (update_dag_run_state, "update_dag_run_state", "Update a DAG run state by DAG ID and DAG run ID", False), (delete_dag_run, "delete_dag_run", "Delete a DAG run by DAG ID and DAG run ID", False), (clear_dag_run, "clear_dag_run", "Clear a DAG run", False), (set_dag_run_note, "set_dag_run_note", "Update the DagRun note", False), (get_upstream_dataset_events, "get_upstream_dataset_events", "Get dataset events for a DAG run", True), ]