Feature request: Return empty Dict or List in Event Source Data Classes instead of None
Use case
Arguably, it might be easier for users if an empty Dict is returned instead of None for path_parameters in APIGatewayProxyEventV2, for example.
Instead of:
@event_source(data_class=APIGatewayProxyEventV2)
def lambda_handler(event: APIGatewayProxyEventV2, context) -> None:
parameters = event.path_parameters or {}
handle(parameters["id"])
it would become:
@event_source(data_class=APIGatewayProxyEventV2)
def lambda_handler(event: APIGatewayProxyEventV2, context) -> None:
handle(event.path_parameters["id"])
Ultimately this approach could be followed for any return value that is either an Optional[Dict] or an Optional[List], returning an empty Dict or List instead of None in all cases:
- utilities/data_classes/api_gateway_proxy_event.py
- APIGatewayEventAuthorizer
def claims(self) -> Dict[str, Any]def scopes(self) -> List[str]
- APIGatewayProxyEvent
def multi_value_query_string_parameters(self) -> Dict[str, List[str]]def path_parameters(self) -> Dict[str, str]def stage_variables(self) -> Dict[str, str]
- RequestContextV2AuthorizerIam
def cognito_amr(self) -> List[str]
- RequestContextV2Authorizer
def jwt_claim(self) -> Dict[str, Any]def jwt_scopes(self) -> List[str]def get_lambda(self) -> Dict[str, Any]
- APIGatewayProxyEventV2
def cookies(self) -> List[str]def path_parameters(self) -> Dict[str, str]def stage_variables(self) -> Dict[str, str]
- APIGatewayEventAuthorizer
and so on...
The bottom line is: Does it matter for users to differentiate between None and an empty Dict or List for any Event Source Data Classe property? If it does for a particular one, it an exception to a rule or the rule?
This change would be backwards compatible with the previous code.
This approach was already implemented in only one place so far, as far as I could check:
- utilities/data_classes/common.py
- BaseProxyEvent
def headers(self) -> Dict[str, str]
- BaseProxyEvent
Solution/User Experience
Solution can be the same as for the headers in the BaseProxyEvent:
https://github.com/aws-powertools/powertools-lambda-python/blob/1905e4cb022b5547d75064a643358c2343977be5/aws_lambda_powertools/utilities/data_classes/common.py#L98-L100
Alternative solutions
No response
Acknowledgment
- [X] This feature request meets Powertools for AWS Lambda (Python) Tenets
- [ ] Should this be considered in other Powertools for AWS Lambda languages? i.e. Java, TypeScript, and .NET
Hi @ericbn thank you for sending this proposal! Two notes:
- Do you agree that code that backwards compatibility can be ensured since existing code that relies on None as a valid value will still function correctly?
- Providing specific use cases and examples where this feature significantly improves the developer experience would strengthen the proposal.
It seems to be this would be a big breaking change anyways. So we might have to open an RFC to discuss this with the larger community and consider the breaking change for v3.
Hi. Totally agree this is a breaking change for existing code that relies on None as a valid value. Good point. I see the change in the headers method in BaseProxyEvent was done exactly to keep backward compatibility.
I propose this change is favor of an API with multiple methods like get_query_string_value and get_header_value in BaseProxyEvent.
https://github.com/aws-powertools/powertools-lambda-python/blob/2c4420731f2e36f4e0ef3eb11c4a5e13296070c5/aws_lambda_powertools/utilities/data_classes/common.py#L139-L157
https://github.com/aws-powertools/powertools-lambda-python/blob/2c4420731f2e36f4e0ef3eb11c4a5e13296070c5/aws_lambda_powertools/utilities/data_classes/common.py#L159-L186
Pros:
- No need to create extra methods in the data classes.
- User can use the List and Dict API directly, for example to choose between
event.query_string_parameters["foo"]orevent.query_string_parameters.get("foo")orevent.query_string_parameters.get("foo", "default_foo")in case the key is required or not, or to use other functions likefirst(event.cookies).
Cons(?):
- As the List and Dict APIs are used directly, a parameter like case_sensitive in get_header_value would have to be replaced by returning a custom CaseInsensitiveDict.
Hello @ericbn! We've updated our roadmap and included this feature request. We are planning to release this feature in Powertools v3.
Roadmap for v3: https://docs.powertools.aws.dev/lambda/python/latest/roadmap/#v3
Hi @leandrodamascena, cool! I'll be happy to provide a PR if that sounds good. Thanks for considering and accepting the feature request!
Hello @ericbn! We definitely want you to submit a PR and contribute to the project, this idea of yours brings more consistency to the use of a data class. I just would like to ask is that you wait until we create the Powertools v3 RFC and have the plan defined. If you send the PR now it will take a long time without updating and it will be hard to merge in the future.
I created a new label v3 and added it to this issue, so it's easier for us to track what we need to include in the RFC for Powertools v3.
Thank you.
Sure, I’ll wait. Makes perfect sense. Looking forward for my first contribution with a PR to the project!
Took a long time (stability/backwards compatibility) but we've started implementing for v3: https://github.com/aws-powertools/powertools-lambda-python/issues/4189
Oi @heitorlessa. I'll be happy to work on this as a contribution to the project.
Closed via https://github.com/aws-powertools/powertools-lambda-python/pull/4606
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