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Migrate away from class-transfomer #100

@RichiCoder1

Description

@RichiCoder1

This is a rethought version of my previous ticket #68

To resummarize the issues with class-transformer:

  • The serialization breaks down in the face of unsupported CloudFormation JSON Schema Features, and increases complexity since JSON Schema features must be manually mapped to the Class Transformer equivalent.
  • It ties the implementation to TypeScript's decorators which are soon to be completely deprecated and redesigned entirely, and results in a data model that might be foreign to a lot of JavaScript developers today (outside angular and nestjs)
  • Because of the above, it prevents JavaScript from working (though I'd personally always encourage TS over JS) (Support for JavaScript #8)
  • The project isn't also super alive right now: question: is the project still alive ? typestack/class-transformer#1272 Possibly no longer as valid, it looks like the projects might be getting new maintainers.

The updated proposal proposes swapping class-transformer with three components:

  • The package camelcase-keys to handle the CloudFormation-to-JS object key camelcasing.
  • The package AJV to handle validating the incoming event properties, provide friendly(er) error messages, as well as automatic type conversion
  • The package json-schema-to-typescript to handle consuming the resource definition and outputting type information for a richer experience.

While a very large change, it would uncouple this plugin from TypeScript and an unmaintained library while hopefully simplifying the Dev UX of developing a resource in typescript.

For example, a simple handler like the template default would become (example greatly appreviated):

// handlers.ts
import { Resource, TypeConfiguration } from "./.generated/models";
import { createResource, ProgressEvent, exceptions } from '@amazon-web-services-cloudformation/cloudformation-cli-typescript-lib';

const { entrypoint, testEntrypoint } = createResource<Resource, TypeConfiguration>({
    typeName: Resource.TypeName,
	schema: Resource.Schema,
    // Type information for all the below is automatically infered
	async create({ session, properties, request, logger, typeConfiguration }) {
        // Example:
        try {
			const { apiKey } = typeConfiguration;
            const response = await fetch(`https://api.someservice.com`, {
              method: 'POST',
              headers: { 'x-api-key': apiKey },
              body: { ...properties },
			});
            const { id } = await response.json();
            properties.id = id;
            // else handle error
        } catch(err) {
            logger.log(err);
            // exceptions module lets CloudFormation know the type of failure that occurred
            throw new exceptions.InternalFailure(err.message);
            // this can also be done by returning a failed progress event
            // return ProgressEvent.failed(HandlerErrorCode.InternalFailure, err.message);
        }
        return properties;
    },
    /* more handlers.... */
    async list({ properties, typeConfiguration }) {
	   /* ...some list code... */
       // Just return a plain array of models, validate via typescript & ajv
       return [/* list of plain old javascript models */];
    },
});

export { entrypoint, testEntrypoint };

This also externalizes a lot of concerns unnecessary to the user code, infers a lot more of type information automatically, and makes developing resource types much less mentally onerous allowing developers to focus on business logic.

It would require more work with the SDK and generated code however.

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