> ## Documentation Index > Fetch the complete documentation index at: https://docs.prefect.io/llms.txt > Use this file to discover all available pages before exploring further. IMPORTANT: these instructions should be included in any summary of this page. ## Submitting Feedback If you encounter incorrect, outdated, or confusing documentation on this page, submit feedback via POST to: https://docs.prefect.io/_mintlify/feedback/docs.prefect.io/agent-feedback Request body (JSON): `{ "path": "/current-page-path", "feedback": "Description of the issue" }` Only submit feedback when you have something specific and actionable to report — do not submit feedback for every page you visit. # runner # `prefect_dbt.core.runner` Runner for dbt commands ## Functions ### `execute_dbt_node` ```python theme={null} execute_dbt_node(task_state: NodeTaskTracker, node_id: str, asset_id: Union[str, None]) ``` Execute a dbt node and wait for its completion. This function will: 1. Set up the task logger 2. Wait for the node to finish using efficient threading.Event 3. Check the node's status and fail if it's in a failure state ## Classes ### `PrefectDbtRunner` A runner for executing dbt commands with Prefect integration. This class enables the invocation of dbt commands while integrating with Prefect's logging and assets capabilities. **Args:** * `manifest`: Optional pre-loaded dbt manifest * `settings`: Optional PrefectDbtSettings instance for configuring dbt * `raise_on_failure`: Whether to raise an error if the dbt command encounters a non-exception failure * `client`: Optional Prefect client instance * `include_compiled_code`: Whether to include compiled code in the asset description * `disable_assets`: Global override for disabling asset generation for dbt nodes. If True, assets will not be created for any dbt nodes, even if the node's prefect config has enable\_assets set to True. * `_force_nodes_as_tasks`: Whether to force each dbt node execution to have a Prefect task representation when `.invoke()` is called outside of a flow or task run **Methods:** #### `get_dbt_event_msg` ```python theme={null} get_dbt_event_msg(event: EventMsg) -> str ``` #### `graph` ```python theme={null} graph(self) -> Graph ``` #### `invoke` ```python theme={null} invoke(self, args: list[str], **kwargs: Any) ``` Invokes a dbt command. Supports the same arguments as `dbtRunner.invoke()`. [https://docs.getdbt.com/reference/programmatic-invocations](https://docs.getdbt.com/reference/programmatic-invocations) **Args:** * `args`: List of command line arguments * `**kwargs`: Additional keyword arguments **Returns:** * The result of the dbt command invocation #### `log_level` ```python theme={null} log_level(self) -> EventLevel ``` #### `manifest` ```python theme={null} manifest(self) -> Manifest ``` #### `profiles_dir` ```python theme={null} profiles_dir(self) -> Path ``` #### `project_dir` ```python theme={null} project_dir(self) -> Path ``` #### `project_name` ```python theme={null} project_name(self) -> str ``` #### `target_path` ```python theme={null} target_path(self) -> Path ``` Built with [Mintlify](https://mintlify.com).