Number Scalar Transform to Number or Float (#2765 external link)

We have fixed an issue where the Number scalar in our @webiny/handler-graphql package was producing a string instead of number.

Headless CMS

Initialize Model Mutation (#2766 external link)

We added the initializeModel GraphQL mutation, which can be hooked into via the onModelInitialize lifecycle event. We had to add this because we needed a way to execute creation of the Elasticsearch index, with custom mappings, on the CMS content models created via the code.

Basically, we add the subscription to the onModelInitialize lifecycle event, which creates custom the Elasticsearch index:

cms.onModelInitialize.subscribe(async ({ model }) => {
  await createElasticsearchIndex({

Elasticsearch Body Modifier Plugin (#2779 external link)

The CmsEntryElasticsearchBodyModifierPlugin did not have the where parameter passed into it, so we added it. This now allows users to access raw where object, received from the GraphQL.


Updated "Deploy Webiny Project" CloudFormation Template (#2773 external link)

In order to reflect the changes we’ve recently introduced in the cloud infrastructure that Webiny deploys, with this release, we’ve revisited the DeployWebinyProject AWS CloudFormation template and updated the set of permissions it deploys. With these updates, users should now be able to use the template and expect their Webiny project to be fully deployed.

Already Used the Template?
In case you’ve already deployed the previous version of the DeployWebinyProject AWS CloudFormation template, we suggest you first destroy the deployed stack, via the AWS Console. Then, via the link to the AWS CloudFormation template, you again perform a fresh deploy.
More Information
In case you missed it, in order to deploy your Webiny project in a more controlled and secure manner, you can utilize our DeployWebinyProject AWS CloudFormation template. The template deploys necessary (least-privilege external link) set of permissions into your AWS account, which also automatically get linked with an Amazon IAM user of your choosing (the user you plan to use upon running deployments).