"""Run dbt against the Databend / TiDB Cloud Lake target.

This entrypoint lets Airflow and local scripts run the dbt CLI inside the
transform extra's dependency environment. The Databend adapter itself is pinned
to the tested fork branch that handles the gateway warehouse parameter and dbt
seed INSERT path.

Usage (env loaded from repo .env):
    uv run --extra transform --env-file .env -- \
        python transform/dbt/engine/run_dbt.py <dbt-args> \
        --project-dir transform/dbt --profiles-dir transform/dbt
"""

from __future__ import annotations

import sys


def main() -> int:
    from dbt.cli.main import cli

    # Click's standalone_mode handles its own SystemExit; just delegate argv.
    return cli(args=sys.argv[1:], standalone_mode=True)


if __name__ == "__main__":
    main()