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from __future__ import annotations

import os
from datetime import datetime

from airflow.models import DAG
from airflow.operators.empty import EmptyOperator
from import AzureSynapseRunPipelineOperator

[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
with DAG( dag_id="example_synapse_run_pipeline", start_date=datetime(2021, 8, 13), schedule="@daily", catchup=False, tags=["synapse", "example"], ) as dag:
[docs] begin = EmptyOperator(task_id="begin")
# [START howto_operator_azure_synapse_run_pipeline] run_pipeline1 = AzureSynapseRunPipelineOperator( task_id="run_pipeline1", azure_synapse_conn_id="azure_synapse_connection", pipeline_name="Pipeline 1", azure_synapse_workspace_dev_endpoint="azure_synapse_workspace_dev_endpoint", ) # [END howto_operator_azure_synapse_run_pipeline] begin >> run_pipeline1 from tests.system.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.system.utils import get_test_run # noqa: E402 # Needed to run the example DAG with pytest (see: tests/system/
[docs]test_run = get_test_run(dag)

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