Use TimescaleDB as database for optimized time series queries #178

	name: Django Tests

	on:
	push:
	branches: ["*"]
	pull_request:
	branches: [ "master" ]
	workflow_call:

	jobs:
	test:

	runs-on: ubuntu-latest
	strategy:
	max-parallel: 4
	matrix:
	python-version: ['3.10', '3.11', '3.12']

	services:
	timescaledb:
	image: timescale/timescaledb:latest-pg16
	env:
	POSTGRES_PASSWORD: postgres
	# Set health checks to wait until postgres has started
	options: >-
	--health-cmd pg_isready
	--health-interval 10s
	--health-timeout 5s
	--health-retries 5
	ports:
	# Maps tcp port 5432 on service container to the host
	- 5432:5432

	steps:
	- uses: actions/checkout@v3
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v3
	with:
	python-version: ${{ matrix.python-version }}
	- name: Install Dependencies
	run: \|
	python -m pip install --upgrade pip
	pip install -r requirements.txt
	- name: Run Tests
	run: \|
	python manage.py collectstatic --noinput
	python manage.py test
	env:
	DB_NAME=postgres
Check failure on line 49 in .github/workflows/test.yml View workflow run for this annotation GitHub Actions / Django Tests Invalid workflow file `The workflow is not valid. .github/workflows/test.yml (Line: 49, Col: 9): Unexpected value 'DB_NAME=postgres DB_USER=postgres DB_PASSWORD=password-removed DB_HOST=timescaledb DB_PORT=5432'`
	DB_USER=postgres
	DB_PASSWORD=postgres
	DB_HOST=timescaledb
	DB_PORT=5432

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