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# to you under the Apache License, Version 2.0 (the
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#
#   http://www.apache.org/licenses/LICENSE-2.0
#
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from __future__ import annotations

from datetime import datetime

from airflow.models import DAG
from airflow.providers.dbt.cloud.operators.dbt import (
    DbtCloudGetJobRunArtifactOperator,
    DbtCloudListJobRunsOperator,
    DbtCloudListJobsOperator,
    DbtCloudRunJobOperator,
)
from airflow.providers.dbt.cloud.sensors.dbt import DbtCloudJobRunSensor
from airflow.providers.standard.operators.empty import EmptyOperator
from airflow.sdk import Label

from tests_common.test_utils.system_tests import get_test_env_id

ENV_ID = get_test_env_id()
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=None,
    catchup=False,
) as dag:
    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_without_job_id]
    trigger_job_run3 = DbtCloudRunJobOperator(
        task_id="trigger_job_run3",
        project_name="my_dbt_project",
        environment_name="prod",
        job_name="my_dbt_job",
        check_interval=10,
        timeout=300,
    )
    # [END howto_operator_dbt_cloud_run_job_without_job_id]

    # [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]

    # [START howto_operator_dbt_cloud_run_job_sensor_deferred]
    job_run_sensor_deferred = DbtCloudJobRunSensor(
        task_id="job_run_sensor_deferred", run_id=trigger_job_run2.output, timeout=20, deferrable=True
    )
    # [END howto_operator_dbt_cloud_run_job_sensor_deferred]

    # [START howto_operator_dbt_cloud_list_jobs]
    list_dbt_jobs = DbtCloudListJobsOperator(task_id="list_dbt_jobs", account_id=106277, project_id=160645)
    # [END howto_operator_dbt_cloud_list_jobs]

    # [START howto_operator_dbt_cloud_list_job_runs]
    list_dbt_job_runs = DbtCloudListJobRunsOperator(
        task_id="list_dbt_job_runs", account_id=106277, job_id=160645
    )
    # [END howto_operator_dbt_cloud_list_job_runs]

    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, list_dbt_jobs, list_dbt_job_runs] >> end

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

    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: contributing-docs/testing/system_tests.rst)
test_run = get_test_run(dag)
