Add dlt commands as Jupyter Notebook magic commands #1242


	name: docs snippet lint and test

	on:
	pull_request:
	branches:
	- master
	- devel
	workflow_dispatch:

	env:
	DLT_SECRETS_TOML: ${{ secrets.DLT_SECRETS_TOML }}

	RUNTIME__SENTRY_DSN: https://[email protected]/4504819859914752
	RUNTIME__LOG_LEVEL: ERROR
	RUNTIME__DLTHUB_TELEMETRY_SEGMENT_WRITE_KEY: TLJiyRkGVZGCi2TtjClamXpFcxAA1rSB

	# Slack hook for chess in production example
	RUNTIME__SLACK_INCOMING_HOOK: ${{ secrets.RUNTIME__SLACK_INCOMING_HOOK }}

	jobs:

	run_lint:
	name: Runs linter and tests on docs snippets
	runs-on: ubuntu-latest

	steps:

	- name: Check out
	uses: actions/checkout@master

	- name: Start weaviate
	run: docker-compose -f ".github/weaviate-compose.yml" up -d

	- name: Setup Python
	uses: actions/setup-python@v4
	with:
	python-version: "3.10.x"

	- name: Install Poetry
	uses: snok/install-poetry@v1
	with:
	virtualenvs-create: true
	virtualenvs-in-project: true
	installer-parallel: true

	- name: Load cached venv
	id: cached-poetry-dependencies
	uses: actions/cache@v3
	with:
	path: .venv
	key: venv-${{ runner.os }}-${{ steps.setup-python.outputs.python-version }}-${{ hashFiles('**/poetry.lock') }}

	- name: Install dependencies
	# if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true'
	run: poetry install --no-interaction -E duckdb -E weaviate -E parquet -E qdrant --with docs,sentry-sdk --without airflow

	- name: create secrets.toml
	run: pwd && echo "$DLT_SECRETS_TOML" > docs/website/docs/.dlt/secrets.toml

	- name: Run linter and tests
	run: make test-and-lint-snippets

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