Build worker container with custom conda channel #5

	name: Test (pip)

	on:
	push:
	branches: ["main"]
	pull_request:
	branches: ["*"]

	jobs:
	test:
	runs-on: ubuntu-latest
	strategy:
	fail-fast: false
	matrix:
	python-version: ["3.10", "3.11", "3.12"]

	steps:
	- uses: actions/checkout@v4
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v5
	with:
	python-version: ${{ matrix.python-version }}

	- uses: actions/cache@v4
	id: restore-cache
	with:
	key: "pip-venv-${{ matrix.python-version }}-${{ hashFiles('pyproject.toml') }}"
	path: \|
	.venv/

	- name: If no cache hit, recreate venv
	if: steps.restore-cache.outputs.cache-hit == false
	run: \|
	python -m venv .venv
	.venv/bin/python -m pip install --upgrade pip
	.venv/bin/python -m pip install -e ".[test,lithops]"

	- name: Run doctests
	run: \|
	.venv/bin/python -m pytest -v ecoscope_workflows/ --doctest-modules \
	--ignore=ecoscope_workflows/visualize.py

	- name: Test with pytest
	run: \|
	.venv/bin/python -m pytest -m "not requires_ecoscope_core" tests -vvv

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