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)