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from __future__ import annotations

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

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

with DAG(
    "example_sql_insert_rows",
    description="Example DAG for SQLInsertRowsOperator.",
    default_args=connection_args,
    start_date=datetime(2021, 1, 1),
    schedule=None,
    catchup=False,
) as dag:
    """
    ### Example SQL insert rows DAG

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

    # [START howto_operator_sql_insert_rows]
    insert_rows = SQLInsertRowsOperator(
        task_id="insert_rows",
        table_name="actors",
        columns=[
            "name",
            "firstname",
            "age",
        ],
        rows=[
            ("Stallone", "Sylvester", 78),
            ("Statham", "Jason", 57),
            ("Li", "Jet", 61),
            ("Lundgren", "Dolph", 66),
            ("Norris", "Chuck", 84),
        ],
        preoperator=[
            """
            CREATE TABLE IF NOT EXISTS actors (
                index BIGINT PRIMARY KEY GENERATED ALWAYS AS IDENTITY,
                name TEXT NOT NULL,
                firstname TEXT NOT NULL,
                age BIGINT NOT NULL
            );
            """,
            "TRUNCATE TABLE actors;",
        ],
        postoperator="DROP TABLE IF EXISTS actors;",
        insert_args={
            "commit_every": 1000,
            "autocommit": False,
            "executemany": True,
            "fast_executemany": True,
        },
    )
    # [END howto_operator_sql_insert_rows]


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)
