Add historical data to l3 #33

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

	jobs:
	build:
	runs-on: ubuntu-latest
	name: process_l2_test
	steps:
	- name: Install Python
	uses: actions/setup-python@v4
	with:
	python-version: "3.8"
	- name: Checkout repo
	uses: actions/checkout@v3
	with:
	path: "main"
	token: ${{ secrets.GITHUB_TOKEN }}
	- name: Install dependencies
	shell: bash
	run: \|
	python -m pip install --upgrade pip
	pip install wheel
	python3 -m pip install --upgrade setuptools
	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 L0 to L3 processing
	env:
	TEST_STATION: KAN_U HUM
	shell: bash
	run: \|
	mkdir $GITHUB_WORKSPACE/out/
	mkdir $GITHUB_WORKSPACE/out/L2/
	for i in $(echo ${{ env.TEST_STATION }} \| tr ' ' '\n'); do
	python3 $GITHUB_WORKSPACE/main/src/pypromice/process/get_l2.py -c $GITHUB_WORKSPACE/aws-l0/tx/config/$i.toml -i $GITHUB_WORKSPACE/aws-l0/tx -o $GITHUB_WORKSPACE/out/L2/
	done
	# mkdir $GITHUB_WORKSPACE/out/L3/
	# for i in $(echo ${{ env.TEST_STATION }} \| tr ' ' '\n'); do
	# python3 $GITHUB_WORKSPACE/main/src/pypromice/process/get_l2tol3.py -i $GITHUB_WORKSPACE/out/L2/$i/$i_hour.nc -o $GITHUB_WORKSPACE/out/ -t 60min
	# done
	- name: Upload test output
	uses: actions/upload-artifact@v3
	with:
	name: result
	path: out

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