Use new buckets for training data #839

	name: Test render notebooks
	# Before merging notebooks, check that they render

	on:
	pull_request:
	branches:
	- master
	paths:
	- ".github/workflows/render-rmds.yml"
	- "**.Rmd"
	- "!**-live.Rmd" # don't trigger for live-only changes
	- "!*/exercise.Rmd" # or exercise notebooks
	- "!/setup/.Rmd" # or setup notebooks
	- "scripts/make-live.R"
	- "scripts/render-live.sh"

	jobs:
	test-render:
	runs-on: ubuntu-latest

	steps:
	- name: Free disk space
	run: \|
	sudo rm -rf /usr/local/lib/android
	sudo rm -rf /usr/share/dotnet
	sudo rm -rf /opt/ghc
	sudo rm -rf /usr/local/share/boost
	sudo rm -rf "$AGENT_TOOLSDIRECTORY"
	# Print free disk space
	df -h

	- name: Checkout code
	uses: actions/checkout@v6

	- name: Configure AWS Credentials
	uses: aws-actions/configure-aws-credentials@v6
	with:
	role-to-assume: arn:aws:iam::${{ secrets.AWS_TRAINING_ACCOUNT }}:role/gha-s3-data-readonly-role
	role-session-name: githubActionSession
	aws-region: us-east-1
	- name: Download data from S3
	env:
	AWS_DEFAULT_REGION: us-east-1
	run: \|
	aws s3 sync s3://alsf-datalab-training-data/training-modules/ . --no-progress

	- name: Pull latest Docker image
	run: \|
	docker pull ccdl/training_rstudio:edge

	- name: Render notebooks
	run: \|
	docker run --rm \
	--mount type=bind,source="$GITHUB_WORKSPACE",target=/training-modules \
	-w /training-modules \
	ccdl/training_rstudio:edge \
	bash scripts/render-live.sh

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