Migrate training into celery and upload results to s3 #62

	name: "Terraform Validation"

	on:
	push:
	paths:
	- "dlp-terraform/**"
	pull_request:
	paths:
	- "dlp-terraform/**"

	permissions:
	contents: read

	jobs:
	terraform:
	name: "Terraform Validation"
	runs-on: ubuntu-latest
	strategy:
	matrix:
	{
	dir:
	[
	"./dlp-terraform/dynamodb",
	"./dlp-terraform/ecs",
	"./dlp-terraform/lambda",
	"./dlp-terraform/s3",
	"./dlp-terraform/sqs",
	],
	}

	# Use the Bash shell regardless whether the GitHub Actions runner is ubuntu-latest, macos-latest, or windows-latest
	defaults:
	run:
	shell: bash

	steps:
	# Checkout the repository to the GitHub Actions runner
	- name: Checkout
	uses: actions/checkout@v4

	# Install the latest version of Terraform CLI and configure the Terraform CLI configuration file with a Terraform Cloud user API token
	- name: Setup Terraform
	uses: hashicorp/setup-terraform@v1
	with:
	cli_config_credentials_token: ${{ secrets.TF_API_TOKEN__GITHUB_ACTION }}

	# Initialize a new or existing Terraform working directory by creating initial files, loading any remote state, downloading modules, etc.
	- name: Terraform Init
	run: terraform init
	working-directory: ${{ matrix.dir }}

	# Checks that all Terraform configuration files adhere to a canonical format
	- name: Terraform Format
	run: terraform fmt -recursive
	working-directory: ${{ matrix.dir }}

	# Validates that all Terraform configuration files are syntactically correct
	- name: Terraform Validate
	run: terraform validate .
	working-directory: ${{ matrix.dir }}

Provide feedback