Use case

Allow using boto3 payloads \ responses as Python classes - more specifically - Pydantic classes.
This would eliminate the guesswork in filling field values, or constantly having to model response payloads.

Solution/User Experience

Lets take a look at a practical example:

import boto3

from aws_resource_validator.pydantic_models.dynamodb.dynamodb_classes import ListTablesOutput

dynamodb = boto3.client('dynamodb')

def list_dynamo_tables() -> List[str]:
    tables: ListTablesOutput = ListTablesOutput(**dynamodb.list_tables())
    return tables.TableNames


if __name__ == "__main__":
    tables: List[str] = list_dynamo_tables()
    print("DynamoDB Tables:", tables)

As you can see, the tables variable acts as a Python class, and you can access it's properties with .. All of it's fields already have types.

This is opposed to accessing the fields as dict keys, and receiving a value of unknown type.
As Powertools is all about ease of use and user experience, so I feel like it would be a great new home for AWS Resource Validator.

Alternative solutions

Instructing user to consume the library independently.

Acknowledgment

• 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