Add the Flyte agent to provision and manage K8s (data) service for deep learning (GNN) use cases #5345

	name: Monodocs Build

	concurrency:
	group: ${{ github.workflow }}-${{ github.event.pull_request.number }}
	cancel-in-progress: true

	on:
	push:
	branches:
	- master
	pull_request:
	branches:
	- master
	jobs:
	docs:
	name: Monodocs Build
	runs-on: ubuntu-latest
	steps:
	- name: Fetch flytekit code
	uses: actions/checkout@v4
	- name: 'Clear action cache'
	uses: ./.github/actions/clear-action-cache
	- name: Fetch flyte code
	uses: actions/checkout@v4
	with:
	repository: flyteorg/flyte
	path: "${{ github.workspace }}/flyte"
	- uses: conda-incubator/setup-miniconda@v3
	with:
	auto-update-conda: true
	python-version: 3.9
	- shell: bash -el {0}
	working-directory: ${{ github.workspace }}/flyte
	run: \|
	conda install -c conda-forge conda-lock
	conda-lock install -n monodocs-env monodocs-environment.lock.yaml
	- shell: bash -el {0}
	working-directory: ${{ github.workspace }}/flyte
	run: \|
	conda activate monodocs-env
	export SETUPTOOLS_SCM_PRETEND_VERSION="2.0.0"
	pip install -e ./flyteidl
	- shell: bash -el {0}
	run: \|
	conda activate monodocs-env
	pip install -e .
	conda info
	conda list
	conda config --show-sources
	conda config --show
	printenv \| sort
	- name: Build the documentation
	working-directory: ${{ github.workspace }}/flyte
	shell: bash -el {0}
	env:
	FLYTEKIT_LOCAL_PATH: ${{ github.workspace }}
	DOCSEARCH_API_KEY: fake_docsearch_api_key # must be set to get doc build to succeed
	run: \|
	conda activate monodocs-env
	make -C docs clean html SPHINXOPTS="-W -vvv"

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