Source code for tests.system.providers.dbt.cloud.example_dbt_cloud

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.

from datetime import datetime

from airflow.models import DAG

try:
    from airflow.operators.empty import EmptyOperator
except ModuleNotFoundError:
    from airflow.operators.dummy import DummyOperator as EmptyOperator  # type: ignore

from airflow.providers.dbt.cloud.operators.dbt import (
    DbtCloudGetJobRunArtifactOperator,
    DbtCloudRunJobOperator,
)
from airflow.providers.dbt.cloud.sensors.dbt import DbtCloudJobRunSensor
from airflow.utils.edgemodifier import Label
from tests.system.utils import get_test_env_id


[docs]ENV_ID = get_test_env_id()


[docs]DAG_ID = "example_dbt_cloud"


with DAG(
    dag_id=DAG_ID,
    default_args={"dbt_cloud_conn_id": "dbt", "account_id": 39151},
    start_date=datetime(2021, 1, 1),
    schedule_interval=None,
    catchup=False,
) as dag:

[docs]    begin = EmptyOperator(task_id="begin")

    end = EmptyOperator(task_id="end")

    # [START howto_operator_dbt_cloud_run_job]
    trigger_job_run1 = DbtCloudRunJobOperator(
        task_id="trigger_job_run1",
        job_id=48617,
        check_interval=10,
        timeout=300,
    )
    # [END howto_operator_dbt_cloud_run_job]

    # [START howto_operator_dbt_cloud_get_artifact]
    get_run_results_artifact = DbtCloudGetJobRunArtifactOperator(
        task_id="get_run_results_artifact", run_id=trigger_job_run1.output, path="run_results.json"
    )
    # [END howto_operator_dbt_cloud_get_artifact]

    # [START howto_operator_dbt_cloud_run_job_async]
    trigger_job_run2 = DbtCloudRunJobOperator(
        task_id="trigger_job_run2",
        job_id=48617,
        wait_for_termination=False,
        additional_run_config={"threads_override": 8},
    )
    # [END howto_operator_dbt_cloud_run_job_async]

    # [START howto_operator_dbt_cloud_run_job_sensor]
    job_run_sensor = DbtCloudJobRunSensor(
        task_id="job_run_sensor", run_id=trigger_job_run2.output, timeout=20
    )
    # [END howto_operator_dbt_cloud_run_job_sensor]

    begin >> Label("No async wait") >> trigger_job_run1
    begin >> Label("Do async wait with sensor") >> trigger_job_run2
    [get_run_results_artifact, job_run_sensor] >> end

    # Task dependency created via `XComArgs`:
    # trigger_job_run1 >> get_run_results_artifact
    # trigger_job_run2 >> job_run_sensor

    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/README.md#run_via_pytest)

[docs]test_run = get_test_run(dag)

Was this entry helpful?