Dataset Lifecycle - Backlog and Post-Compute #4771

	---
	# lifecycle processing for all datasets currently being tracked - backlog and post-compute

	name: Dataset Lifecycle - Backlog and Post-Compute

	on:
	# run whenever a pull request is labeled
	# triggers when we add the `tracking` label
	pull_request:
	types: [labeled]
	# run every 8 hours
	schedule:
	- cron: "0 0,8,16 * * *"
	workflow_dispatch:

	defaults:
	run:
	shell: bash -l {0}

	jobs:
	exec-lifecycle:
	runs-on: ubuntu-latest
	steps:
	- name: Checkout code
	uses: nschloe/action-cached-lfs-checkout@v1

	- name: ensure we only have one instance running
	uses: softprops/turnstyle@master
	env:
	GITHUB_TOKEN: ${{ secrets.GH_DANGERBOT_TOKEN_LIMITED }}
	with:
	abort-after-seconds: 60

	- name: Additional info about the build
	shell: bash
	run: \|
	uname -a
	df -h
	ulimit -a

	- name: Install environment
	uses: mamba-org/setup-micromamba@v1
	with:
	environment-file: devtools/conda-envs/backlog.yaml
	create-args: >-
	python=3.11
	cache-environment: true

	- name: Environment Information
	run: \|
	conda info
	conda list

	- name: Run lifecycle processing script
	env:
	GH_TOKEN: ${{ secrets.QCA_DATASET_SUBMISSION_PAT }}
	QCA_USER: ${{ secrets.QCA_USER }}
	QCA_KEY: ${{ secrets.QCA_KEY }}
	run: \|
	python ./management/lifecycle.py --states "Backlog" "Requires Scientific Review" "End of Life" "Archived/Complete"

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