runway.cfngin.hooks.cleanup_s3 module
CFNgin hook for cleaning up resources prior to CFN stack deletion.
- class runway.cfngin.hooks.cleanup_s3.PurgeBucketHookArgs[source]
Bases:
runway.utils.BaseModelHook arguments for
purge_bucket.- __contains__(name: object) bool
Implement evaluation of ‘in’ conditional.
- Parameters
name – The name to check for existence in the model.
- __getitem__(name: str) Any
Implement evaluation of self[name].
- Parameters
name – Attribute name to return the value for.
- Returns
The value associated with the provided name/attribute name.
- Raises
AttributeError – If attribute does not exist on this object.
- __init__(**data: Any) None
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- __iter__() TupleGenerator
so dict(model) works
- __new__(**kwargs)
- __pretty__(fmt: Callable[[Any], Any], **kwargs: Any) Generator[Any, None, None]
Used by devtools (https://python-devtools.helpmanual.io/) to provide a human readable representations of objects
- __rich_repr__() RichReprResult
Get fields for Rich library
- __setitem__(name: str, value: Any) None
Implement item assignment (e.g.
self[name] = value).- Parameters
name – Attribute name to set.
value – Value to assign to the attribute.
- classmethod __try_update_forward_refs__(**localns: Any) None
Same as update_forward_refs but will not raise exception when forward references are not defined.
- classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) Model
Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
- copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) Model
Duplicate a model, optionally choose which fields to include, exclude and change.
- Parameters
include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – values to change/add in the new model. Note: the data is not validated before creating the new model: you should trust this data
deep – set to True to make a deep copy of the model
- Returns
new model instance
- dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) DictStrAny
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
- get(name: str, default: Any = None) Any
Safely get the value of an attribute.
- Parameters
name – Attribute name to return the value for.
default – Value to return if attribute is not found.
- json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Optional[Callable[[Any], Any]] = None, models_as_dict: bool = True, **dumps_kwargs: Any) str
Generate a JSON representation of the model, include and exclude arguments as per dict().
encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().