boilercv_tests.config

Settings.

Module Contents

Classes

Constants	Constants.
PluginModelConfig	Pydantic plugin model configuration.
Settings	Package settings.

Data

const
paths
default

API

class boilercv_tests.config.Constants(

/,

**data: typing.Any,

)

Bases: pydantic.BaseModel

Constants.

Initialization

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

data: pathlib.Path

None

boilercv_tests.config.const

‘Constants(…)’

boilercv_tests.config.paths

‘get_settings_paths(…)’

class boilercv_tests.config.PluginModelConfig(

_case_sensitive: bool | None = None,

_env_prefix: str | None = None,

_env_file: pydantic_settings.sources.DotenvType | None = ENV_FILE_SENTINEL,

_env_file_encoding: str | None = None,

_env_ignore_empty: bool | None = None,

_env_nested_delimiter: str | None = None,

_env_parse_none_str: str | None = None,

_env_parse_enums: bool | None = None,

_cli_prog_name: str | None = None,

_cli_parse_args: bool | list[str] | tuple[str, ...] | None = None,

_cli_settings_source: pydantic_settings.sources.CliSettingsSource[Any] | None = None,

_cli_parse_none_str: str | None = None,

_cli_hide_none_type: bool | None = None,

_cli_avoid_json: bool | None = None,

_cli_enforce_required: bool | None = None,

_cli_use_class_docs_for_groups: bool | None = None,

_cli_exit_on_error: bool | None = None,

_cli_prefix: str | None = None,

_secrets_dir: str | pathlib.Path | None = None,

**values: Any,

)

Bases: pydantic_settings.BaseSettings

Pydantic plugin model configuration.

Initialization

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

classmethod settings_customise_sources(

settings_cls: type[pydantic_settings.BaseSettings],

init_settings: pydantic_settings.PydanticBaseSettingsSource,

*_args: pydantic_settings.PydanticBaseSettingsSource,

**_kwds: pydantic_settings.PydanticBaseSettingsSource,

) → tuple[pydantic_settings.PydanticBaseSettingsSource, ...]

Source settings from init and TOML.

class boilercv_tests.config.Settings(

_case_sensitive: bool | None = None,

_env_prefix: str | None = None,

_env_file: pydantic_settings.sources.DotenvType | None = ENV_FILE_SENTINEL,

_env_file_encoding: str | None = None,

_env_ignore_empty: bool | None = None,

_env_nested_delimiter: str | None = None,

_env_parse_none_str: str | None = None,

_env_parse_enums: bool | None = None,

_cli_prog_name: str | None = None,

_cli_parse_args: bool | list[str] | tuple[str, ...] | None = None,

_cli_settings_source: pydantic_settings.sources.CliSettingsSource[Any] | None = None,

_cli_parse_none_str: str | None = None,

_cli_hide_none_type: bool | None = None,

_cli_avoid_json: bool | None = None,

_cli_enforce_required: bool | None = None,

_cli_use_class_docs_for_groups: bool | None = None,

_cli_exit_on_error: bool | None = None,

_cli_prefix: str | None = None,

_secrets_dir: str | pathlib.Path | None = None,

**values: Any,

)

Bases: pydantic_settings.BaseSettings

Package settings.

Initialization

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

classmethod settings_customise_sources(

settings_cls: type[pydantic_settings.BaseSettings],

init_settings: pydantic_settings.PydanticBaseSettingsSource,

*_args: pydantic_settings.PydanticBaseSettingsSource,

**_kwds: pydantic_settings.PydanticBaseSettingsSource,

) → tuple[pydantic_settings.PydanticBaseSettingsSource, ...]

Source settings from init and TOML.

boilercv_tests.config.default

‘Settings(…)’