Upgrade datasets and pandas #77

	name: Create and publish a Docker image

	on:
	push:
	branches: ['main']
	workflow_dispatch:

	env:
	REGISTRY: ghcr.io
	IMAGE_NAME: ${{ github.repository }}

	jobs:
	build-and-push-image:
	runs-on: ubuntu-latest

	permissions:
	contents: read
	packages: write

	steps:
	- name: Checkout repository
	uses: actions/checkout@v4

	- name: Set up Python 3.12
	uses: actions/setup-python@v5
	with:
	python-version: 3.12
	cache: 'pip'

	- name: Install poetry
	run: python -m pip install --upgrade pip poetry

	- name: Install poetry export plugin
	run: poetry self add poetry-plugin-export poetry-dynamic-versioning[plugin]

	- name: Export requirements
	run: poetry export -o requirements.txt --only main,deploy,cpu

	- name: Update version file
	run: poetry dynamic-versioning

	- name: Set up Docker Buildx
	uses: docker/setup-buildx-action@v3

	- name: Log in to the Container registry
	uses: docker/login-action@v3
	with:
	registry: ${{ env.REGISTRY }}
	username: ${{ github.actor }}
	password: ${{ secrets.GITHUB_TOKEN }}

	- name: Extract metadata (tags, labels) for Docker
	id: meta
	uses: docker/metadata-action@v5
	with:
	images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}

	- name: Build and push Docker image
	uses: docker/build-push-action@v5
	with:
	context: .
	push: true
	cache-from: type=gha
	cache-to: type=gha,mode=max
	tags: ${{ steps.meta.outputs.tags }}
	labels: ${{ steps.meta.outputs.labels }}

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