> ## Documentation Index
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# settings
# `prefect_dbt.core.settings`
A class for configuring or automatically discovering settings to be used with PrefectDbtRunner.
## Classes
### `PrefectDbtSettings`
dbt settings that directly affect the PrefectDbtRunner.
These settings will be collected automatically from their corresponding 'DBT\_'-prefixed environment variables.
If a setting is not set in the environment or in the fields of this class, the default value will be used.
All other dbt settings should be used as normal, e.g. in the dbt\_project.yml file, env vars, or kwargs to `invoke()`.
**Methods:**
#### `load_profiles_yml`
```python theme={null}
load_profiles_yml(self) -> dict[str, Any]
```
Load and parse the profiles.yml file.
**Returns:**
* Dict containing the parsed profiles.yml contents
**Raises:**
* `ValueError`: If profiles.yml is not found
#### `resolve_profiles_yml`
```python theme={null}
resolve_profiles_yml(self) -> Generator[str, None, None]
```
Context manager that creates a temporary directory with a resolved profiles.yml file.
**Args:**
* `include_profiles`: Whether to include the resolved profiles.yml in the yield.
Example:
```python theme={null}
with resolve_profiles_yml() as temp_dir:
# temp_dir contains resolved profiles.yml
# use temp_dir for dbt operations
# temp_dir is automatically cleaned up
```
#### `validate_for_orchestrator`
```python theme={null}
validate_for_orchestrator(self) -> None
```
Validate that configured directories exist and contain expected files.
Call this before running dbt operations that require both
`profiles_dir` and `project_dir` to be valid on disk.
**Raises:**
* `ValueError`: If `profiles_dir` or `project_dir` do not exist,
or if the expected files are missing.
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