Source code for tests.system.microsoft.azure.example_powerbi_dataset_refresh

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from __future__ import annotations

import os
from datetime import datetime

from airflow import DAG, settings
from airflow.decorators import task
from airflow.models import Connection
from airflow.models.baseoperator import chain
from airflow.providers.microsoft.azure.operators.powerbi import PowerBIDatasetRefreshOperator

[docs]DAG_ID = "example_refresh_powerbi_dataset"
[docs]CONN_ID = "powerbi_default"
# Before running this system test, you should set following environment variables:
[docs]DATASET_ID = os.environ.get("DATASET_ID", "None")
[docs]GROUP_ID = os.environ.get("GROUP_ID", "None")
[docs]CLIENT_ID = os.environ.get("CLIENT_ID", None)
[docs]CLIENT_SECRET = os.environ.get("CLIENT_SECRET", None)
[docs]TENANT_ID = os.environ.get("TENANT_ID", None)
@task
[docs]def create_connection(conn_id_name: str): conn = Connection( conn_id=conn_id_name, conn_type="powerbi", login=CLIENT_ID, password=CLIENT_SECRET, extra={"tenant_id": TENANT_ID}, ) session = settings.Session() session.add(conn) session.commit()
with DAG( dag_id=DAG_ID, start_date=datetime(2021, 1, 1), schedule=None, tags=["example"], ) as dag:
[docs] set_up_connection = create_connection(CONN_ID)
# [START howto_operator_powerbi_refresh_async] refresh_powerbi_dataset = PowerBIDatasetRefreshOperator( conn_id="powerbi_default", task_id="refresh_powerbi_dataset", dataset_id=DATASET_ID, group_id=GROUP_ID, check_interval=30, timeout=120, ) # [END howto_operator_powerbi_refresh_async] chain( # TEST SETUP set_up_connection, # TEST BODY refresh_powerbi_dataset, ) 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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