Renamed static_qc -> persistent_qc #133

	on:
	pull_request:
	types: [opened, reopened, synchronize, edited]
	workflow_dispatch:

	jobs:
	build:
	runs-on: ubuntu-latest
	name: process_test
	steps:
	- name: Install Python
	uses: actions/setup-python@v2
	with:
	python-version: "3.8"
	- name: Checkout repo
	uses: actions/checkout@v2
	with:
	path: "main"
	token: ${{ secrets.GITHUB_TOKEN }}
	- name: Install dependencies
	shell: bash
	run: \|
	python -m pip install --upgrade pip
	pip install wheel
	cd $GITHUB_WORKSPACE/main
	pip install .
	- name: Clone AWS Level 0 data repo for testing
	env:
	GITLAB_TOKEN : ${{ secrets.GITLAB_TOKEN }}
	run: \|
	cd $GITHUB_WORKSPACE
	git clone --depth 1 https://oauth2:${{ env.GITLAB_TOKEN }}@geusgitlab.geus.dk/glaciology-and-climate/promice/aws-l0.git
	- name: Run data processing
	env:
	TEST_STATION: KPC_U CEN2 JAR
	shell: bash
	run: \|
	mkdir $GITHUB_WORKSPACE/out/
	for i in $(echo ${{ env.TEST_STATION }} \| tr ' ' '\n'); do
	python3 $GITHUB_WORKSPACE/main/bin/getL3 -v $GITHUB_WORKSPACE/main/src/pypromice/process/variables.csv -m $GITHUB_WORKSPACE/main/src/pypromice/process/metadata.csv -c $GITHUB_WORKSPACE/aws-l0/raw/config/$i.toml -i $GITHUB_WORKSPACE/aws-l0/raw -o $GITHUB_WORKSPACE/out/
	done
	- name: Upload test output
	uses: actions/upload-artifact@v3
	with:
	name: result
	path: out

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