6 - Automate Data Labelling Task With LLM-based Agentic AI #23

	name: main
	on:
	workflow_dispatch:
	pull_request:
	types: [closed]
	branches:
	- main

	env:
	PYTHON_VERSION: "3.10"
	POETRY_VERSION: "1.8.3"
	POETRY_URL: https://install.python-poetry.org

	jobs:
	docs-pipeline:
	if: github.event.pull_request.merged == true
	runs-on: ubuntu-latest
	permissions:
	pages: write
	contents: write

	steps:
	- uses: actions/checkout@v4
	with:
	fetch-depth: 0

	- name: Set Bot
	run: git config user.name 'github-actions[bot]' && git config user.email 'github-actions[bot]@users.noreply.github.com'

	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: ${{ env.PYTHON_VERSION }}

	- name: Cache Python Poetry cache
	uses: actions/cache@v3
	with:
	path: ~/.cache/pypoetry
	key: poetry-cache-${{ runner.os }}-${{ steps.setup_python.outputs.python-version }}-${{ env.POETRY_VERSION }}
	restore-keys: \|
	${{ runner.os }}-poetry-

	# virtualenv cache should depends on OS, Python version and `poetry.lock` (and optionally workflow files).
	- name: Cache Python Packages
	uses: actions/cache@v3
	with:
	path: ~/.local
	key: poetry-local-${{ runner.os }}-${{ steps.setup_python.outputs.python-version }}-${{ hashFiles('*/poetry.lock') }}-${{ hashFiles('.github/workflows/.yml') }}
	restore-keys: \|
	${{ runner.os }}-poetry-

	- name: Install Poetry ${{ env.POETRY_VERSION }}
	run: \|
	curl -sSL ${{ env.POETRY_URL }} \| python - --version ${{ env.POETRY_VERSION }}
	echo "$HOME/.local/bin" >> $GITHUB_PATH

	- name: Prepare dependencies
	run: make deps

	- name: Deploy to gh-pages branch
	run: poetry run mkdocs gh-deploy

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