extract-binary #10

	name: extract-binary

	on:
	workflow_dispatch:

	permissions:
	# contents: write
	packages: write

	jobs:
	extract-binary:
	# strategy:
	# fail-fast: true
	# matrix:
	# build-type:
	# - cublas-cuda12
	runs-on: ubuntu-latest
	timeout-minutes: 240
	steps:
	- name: cleanup disk space
	run: \|
	docker system prune -f -a --volumes
	sudo rm -rf /usr/share/dotnet
	sudo rm -rf /opt/ghc
	sudo rm -rf "/usr/local/share/boost"
	sudo rm -rf "$AGENT_TOOLSDIRECTORY"
	- name: install oras
	env:
	ORAS_VERSION: 1.1.0
	run: \|
	curl -sLO "https://github.com/oras-project/oras/releases/download/v${ORAS_VERSION}/oras_${ORAS_VERSION}_linux_amd64.tar.gz"
	tar -zxvf oras_${ORAS_VERSION}_linux_amd64.tar.gz -C /usr/local/bin/ oras

	- name: install crane
	env:
	CRANE_VERSION: 0.17.0
	run: \|
	curl -sLO "https://github.com/google/go-containerregistry/releases/download/v${CRANE_VERSION}/go-containerregistry_Linux_x86_64.tar.gz"
	tar -zxvf go-containerregistry_Linux_x86_64.tar.gz -C /usr/local/bin/ crane

	- name: extract artifacts from local-ai container
	run: \|
	crane export quay.io/go-skynet/local-ai:v2.0.0-cublas-cuda12-core > export.tar
	tar -xvf export.tar
	ls -al .

	- name: Login to GHCR
	uses: docker/login-action@343f7c4344506bcbf9b4de18042ae17996df046d # v3.0.0
	with:
	registry: ghcr.io
	username: ${{ github.actor }}
	password: ${{ secrets.GITHUB_TOKEN }}

	- name: create and push oci artifact
	run: \|
	oras push ghcr.io/sozercan/test/local-ai:v2.0.0-cublas-cuda12-core \
	build/local-ai:application/octet-stream \
	backend-assets/:application/octet-stream

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