upgrade sqlalchemy to satisfy pandas #638

	name: Test

	on:
	push:
	pull_request:

	jobs:
	docker:
	name: Build and test
	timeout-minutes: 15
	runs-on: ubuntu-latest
	strategy:
	matrix:
	python-version: [3.9]
	steps:
	- name: Checkout
	uses: actions/checkout@v3

	- name: Start containers
	run: \|
	mv .env.sample .env
	docker-compose -f "docker-compose.production.yaml" up -d --build --quiet-pull

	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v2
	with:
	python-version: ${{ matrix.python-version }}

	- name: Install ERDDAP harvester and db loader
	run: pip install -q ./harvester ./db-loader

	- name: Run ERDDAP harvester on sample dataset
	run: python -m cde_harvester --urls https://data.cioospacific.ca/erddap/ --dataset_ids DFO_MEDS_BUOYS --folder erddap_harvest

	- name: Load harvested data into the DB
	run: python -m cde_db_loader --folder erddap_harvest

	- name: Install node
	uses: actions/setup-node@v3
	with:
	node-version: 16.x

	- name: Install dependencies
	working-directory: ./test
	run: npm ci --quiet

	- name: Test API endpoints
	working-directory: ./test
	run: node test_api_endpoints.js

	- name: Test frontend loads without errors
	working-directory: ./test
	run: node frontend_loads_without_errors.js

	- name: Stop containers
	if: always()
	run: docker-compose -f "docker-compose.production.yaml" down

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