runway.cfngin.lookups.handlers.ami module

AMI lookup.

class runway.cfngin.lookups.handlers.ami.ArgsDataModel[source]

Bases: runway.utils.BaseModel

Arguments data model.

Any other arguments specified are sent as filters to the AWS API. For example, architecture:x86_64 will add a filter.

executable_users: Optional[List[str]]

List of executable users.

owners: List[str]

At least one owner is required.

Should be amazon, self, or an AWS account ID.

region: Optional[str]

AWS region.

__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.

exception runway.cfngin.lookups.handlers.ami.ImageNotFound[source]

Bases: Exception

Image not found.

__init__(search_string: str) → None[source]

Instantiate class.

__new__(**kwargs)
add_note()

Exception.add_note(note) – add a note to the exception

with_traceback()

Exception.with_traceback(tb) – set self.__traceback__ to tb and return self.

class runway.cfngin.lookups.handlers.ami.AmiLookup[source]

Bases: runway.lookups.handlers.base.LookupHandler

AMI lookup.

__init__()
__new__(**kwargs)
classmethod dependencies(_LookupHandler__lookup_query: VariableValue) → Set[str]

Calculate any dependencies required to perform this lookup.

Note that lookup_query may not be (completely) resolved at this time.

classmethod format_results(value: Any, get: Optional[str] = None, load: Optional[str] = None, transform: Optional[Literal['bool', 'str']] = None, **kwargs: Any) → Any

Format results to be returned by a lookup.

Parameters

  • value – Data collected by the Lookup.

  • get – Nested value to get from a dictionary like object.

  • load – Parser to use to parse a formatted string before the get and transform method.

  • transform – Convert the final value to a different data type before returning it.

Raises

TypeError – If get is provided but the value value is not a dictionary like object.

Runs the following actions in order:

  1. load() if load is provided.

  2. runway.util.MutableMap.find() or dict.get() depending on the data type if get is provided.

  3. Convert null value string to NoneType object. This includes string values of “None” and “null”. This conversion is case insensitive.

  4. transform() if transform is provided.

classmethod load(value: Any, parser: Optional[str] = None, **kwargs: Any) → Any

Load a formatted string or object into a python data type.

First action taken in format_results(). If a lookup needs to handling loading data to process it before it enters format_results(), is should use args.pop('load') to prevent the data from being loaded twice.

Parameters

  • value – What is being loaded.

  • parser – Name of the parser to use.

Returns

The loaded value.

classmethod transform(value: Any, *, to_type: Optional[Literal['bool', 'str']] = 'str', **kwargs: Any) → Any

Transform the result of a lookup into another datatype.

Last action taken in format_results(). If a lookup needs to handling transforming the data in a way that the base class can’t support it should overwrite this method of the base class to register different transform methods.

Parameters

  • value – What is to be transformed.

  • to_type – The type the value will be transformed into.

Returns

The transformed value.

TYPE_NAME: Final[Literal['ami']] = 'ami'

Name that the Lookup is registered as.

classmethod parse(value: str) → Tuple[str, Dict[str, str]][source]

Parse the value passed to the lookup.

This overrides the default parsing to account for special requirements.

Parameters

value – The raw value passed to a lookup.

Returns

The lookup query and a dict of arguments

classmethod handle(value: str, context: runway.context.CfnginContext, *_AmiLookup__args: Any, **_AmiLookup__kwargs: Any) → str[source]

Fetch the most recent AMI Id using a filter.

Parameters

  • value – Parameter(s) given to this lookup.

  • context – Context instance.

Example

The above fetches the most recent AMI where owner is self account or amazon and the ami name matches the regex described, the architecture will be either x64 or i386

You can also optionally specify the region in which to perform the AMI lookup.