Source code for tests.system.google.cloud.looker.example_looker

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"""
Example Airflow DAG that show how to use various Looker
operators to submit PDT materialization job and manage it.
"""

from __future__ import annotations

from datetime import datetime

from airflow.models.dag import DAG
from airflow.providers.google.cloud.operators.looker import LookerStartPdtBuildOperator
from airflow.providers.google.cloud.sensors.looker import LookerCheckPdtBuildSensor

[docs] DAG_ID = "gcp_looker"
[docs] LOOKER_CONNECTION_ID = "your_airflow_connection_for_looker"
[docs] LOOKER_MODEL = "your_lookml_model"
[docs] LOOKER_VIEW = "your_lookml_view"
with DAG( dag_id=DAG_ID, start_date=datetime(2021, 1, 1), catchup=False, tags=["example", "looker"], ) as dag: # [START cloud_looker_async_start_pdt_sensor]
[docs] start_pdt_task_async = LookerStartPdtBuildOperator( task_id="start_pdt_task_async", looker_conn_id=LOOKER_CONNECTION_ID, model=LOOKER_MODEL, view=LOOKER_VIEW, asynchronous=True, )
check_pdt_task_async_sensor = LookerCheckPdtBuildSensor( task_id="check_pdt_task_async_sensor", looker_conn_id=LOOKER_CONNECTION_ID, materialization_id=start_pdt_task_async.output, poke_interval=10, ) # [END cloud_looker_async_start_pdt_sensor] # [START how_to_cloud_looker_start_pdt_build_operator] build_pdt_task = LookerStartPdtBuildOperator( task_id="build_pdt_task", looker_conn_id=LOOKER_CONNECTION_ID, model=LOOKER_MODEL, view=LOOKER_VIEW, ) # [END how_to_cloud_looker_start_pdt_build_operator] start_pdt_task_async >> check_pdt_task_async_sensor build_pdt_task from tests_common.test_utils.watcher import watcher # This test needs watcher in order to properly mark success/failure # when "tearDown" task with trigger rule is part of the DAG list(dag.tasks) >> watcher() from tests_common.test_utils.system_tests import get_test_run # noqa: E402 # Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
[docs] test_run = get_test_run(dag)

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