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from __future__ import annotations

from airflow import DAG
from airflow.providers.common.sql.operators.sql import SQLThresholdCheckOperator
from airflow.utils.timezone import datetime

connection_args = {
    "conn_id": "sales_db",
    "conn_type": "Postgres",
    "host": "postgres",
    "schema": "postgres",
    "login": "postgres",
    "password": "postgres",
    "port": 5432,
}

with DAG(
    "example_sql_threshold_check_query",
    description="Example DAG for SQLThresholdCheckOperator.",
    default_args=connection_args,
    start_date=datetime(2024, 12, 12),
    schedule=None,
    catchup=False,
) as dag:
    """
    ### Example SQL threshold check DAG

    Runs the SQLThresholdCheckOperator against the Airflow metadata DB.
    """

    # [START howto_operator_sql_threshold_check]
    threshhold_check = SQLThresholdCheckOperator(
        task_id="threshhold_check",
        conn_id="sales_db",
        sql="SELECT count(distinct(customer_id)) FROM sales;",
        min_threshold=1,
        max_threshold=1000,
    )
    # [END howto_operator_sql_threshold_check]


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)
