mllooper.LooperConfig

pydantic model mllooper.LooperConfig

Bases: ModuleConfig

Validators:

• check_references_are_included » modules

• put_extra_in_modules » all fields

field log_level: int = 20

Validated by:

• put_extra_in_modules

field log_time_delta: timedelta = datetime.timedelta(seconds=10)

Validated by:

• put_extra_in_modules

field modules: Dict[str, Union[ModuleConfig, str]] = {}

Validated by:

• check_references_are_included

• put_extra_in_modules

field name: Optional[str] = None

Validated by:

• put_extra_in_modules

validator check_references_are_included  »  modules

classmethod get_yaml_tag() → str

Return the configs yaml tag.

load(*args, **kwargs)

Create the object the yaml config object is for.

This basic constructor uses all attributes of the config as kwargs for the loaded class.

validator put_extra_in_modules  »  all fields

classmethod set_yaml_tag(yaml_tag: Optional[str]) → None

Set the yaml tag of the config.

A valid tag has to start with an exclamation mark.

Parameters:

yaml_tag – Optional string of the tag. If None the tag will be set to a default value.

validate_config(force_all: bool = False) → None

Validate a BaseConfig instance

If force_all is False do not raise an error on missing attributes. Configs have to be correct but may be incomplete.

Parameters:

force_all – If True raise an error on missing attributes