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.BaseModel

Hook arguments for purge_bucket.

bucket_name: str

Name of the bucket to purge.

__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

__repr_name__() str

Name of the instance’s class, used in __repr__.

__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().

classmethod update_forward_refs(**localns: Any) None

Try to update ForwardRefs on fields based on this Model, globalns and localns.

runway.cfngin.hooks.cleanup_s3.purge_bucket(context: runway.context.CfnginContext, *__args: Any, **kwargs: Any) bool[source]

Delete objects in bucket.