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from __future__ import annotations

from airflow import DAG
from airflow.providers.common.sql.operators.sql import SQLExecuteQueryOperator
from airflow.sdk import task
from airflow.utils.timezone import datetime

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

with DAG(
    "example_sql_execute_query",
    description="Example DAG for SQLExecuteQueryOperator.",
    default_args=connection_args,
    start_date=datetime(2021, 1, 1),
    schedule=None,
    catchup=False,
) as dag:
    """
    ### Example SQL execute query DAG

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

    # [START howto_operator_sql_execute_query]
    execute_query = SQLExecuteQueryOperator(
        task_id="execute_query",
        sql=f"SELECT 1; SELECT * FROM {AIRFLOW_DB_METADATA_TABLE} LIMIT 1;",
        split_statements=True,
        return_last=False,
    )
    # [END howto_operator_sql_execute_query]

    # [START howto_decorator_sql_execute_query]
    @task.sql(split_statements=True, return_last=False)
    def execute_query_taskflow():
        return f"SELECT 1; SELECT * FROM {AIRFLOW_DB_METADATA_TABLE} LIMIT 1;"

    execute_query_taskflow()

    # [END howto_decorator_sql_execute_query]


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)
