runway.cfngin.hooks.ssm.parameter module
AWS SSM Parameter Store hooks.
- class runway.cfngin.hooks.ssm.parameter.ArgsDataModel[source]
Bases:
runway.utils.BaseModel
Parameter hook args.
- data_type
The data type for a String parameter. Supported data types include plain text and Amazon Machine Image IDs.
- Type
Optional[typing_extensions.Literal[aws:ec2:image, text]]
- force
Skip checking the current value of the parameter, just put it. Can be used alongside
overwrite
to always update a parameter.- Type
- key_id
The KMS Key ID that you want to use to encrypt a parameter. Either the default AWS Key Management Service (AWS KMS) key automatically assigned to your AWS account or a custom key. Required for parameters that use the
SecureString
data type.- Type
Optional[str]
- policies
One or more policies to apply to a parameter. This field takes a JSON array.
- Type
Optional[str]
- tags
Optional metadata that you assign to a resource.
- Type
Optional[List[runway.cfngin.hooks.utils.TagDataModel]]
- tier
The parameter tier to assign to a parameter.
- Type
typing_extensions.Literal[Advanced, Intelligent-Tiering, Standard]
- type
The type of parameter.
- Type
typing_extensions.Literal[String, StringList, SecureString]
- value
The parameter value that you want to add to the system. Standard parameters have a value limit of 4 KB. Advanced parameters have a value limit of 8 KB.
- Type
Optional[str]
- __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__() unicode
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: Optional[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) unicode
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().
- class runway.cfngin.hooks.ssm.parameter.SecureString[source]
Bases:
runway.cfngin.hooks.ssm.parameter._Parameter
AWS SSM Parameter Store SecureString Parameter.
- __new__(**kwargs)
- property client: SSMClient
AWS SSM client.
- get() ParameterTypeDef
Get parameter.
- get_current_tags() List[TagTypeDef]
Get Tags currently applied to Parameter.
- post_deploy() runway.cfngin.hooks.ssm.parameter._PutParameterResultTypeDef
Run during the post_deploy stage.
- pre_deploy() runway.cfngin.hooks.ssm.parameter._PutParameterResultTypeDef
Run during the pre_deploy stage.
- put() runway.cfngin.hooks.ssm.parameter._PutParameterResultTypeDef
Put parameter.