refactor: Implement Celery Tasks with Redis and RabbitMQ Integration" #9

	name: main
	on:
	push:
	branches: [ main ]
	pull_request:
	branches: [ main ]

	jobs:
	deploy:
	runs-on: ubuntu-latest
	timeout-minutes: 30
	strategy:
	matrix:
	python_version: ["3.10"]
	concurrency:
	group: ci-${{ github.ref }}
	cancel-in-progress: true

	defaults:
	run:
	shell: bash -l {0}

	steps:
	- uses: actions/checkout@v2

	- uses: conda-incubator/setup-miniconda@v2
	with:
	miniconda-version: "latest"
	mamba-version: "*"
	environment-file: conda/base.yaml
	channels: conda-forge,nodefaults
	activate-environment: celery-collectors
	use-mamba: true
	miniforge-variant: Mambaforge

	- name: Prepare path
	run: mkdir "data/"

	- name: Run Rabbitmq container
	run: docker run --name rabbitmq -d --rm -p 5672:5672 rabbitmq

	- name: Run Redis container
	run: docker run --name redis -d redis redis-server --save 60 1 --loglevel warning

	- name: Start Celery worker
	run: celery -A main.celery_app worker --loglevel=DEBUG &

	- name: Run pytest for Collectors
	run: pytest -vvv main/tests/tests_tasks_collectors.py


	- name: Run pytest for Async tasks
	run: pytest -vvv main/tests/tests_tasks_async.py

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