refactor: dataset conversion #31

	# This workflow will install Python dependencies, run tests and lint with a single version of Python
	# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions

	name: Test external models

	on:
	push:
	branches: [ "master", "dev" ]
	pull_request:
	branches: [ "master", "dev" ]

	permissions:
	contents: read

	jobs:
	build:
	runs-on: ubuntu-latest
	#container:
	# image: ubuntu:latest
	# options: --user root
	strategy:
	matrix:
	os: [ubuntu-latest]
	python-version: ["3.10"]
	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 pyenv
	uses: gabrielfalcao/pyenv-action@v18
	with:
	default: "3.10"
	command: ""

	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	pip install -e .

	- name: Run
	run: \|
	chap evaluate --model-name external_models/naive_python_model_with_mlproject_file_and_docker/ --dataset-name ISIMIP_dengue_harmonized --dataset-country brazil
	chap evaluate --model-name external_models/deepar --dataset-name ISIMIP_dengue_harmonized --dataset-country brazil
	chap evaluate --model-name https://github.com/sandvelab/chap_auto_ewars --dataset-name ISIMIP_dengue_harmonized --dataset-country brazil

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