Add multiseries support to graph_prediction_vs_actual_over_time #3277

	name: Integration tests, linux

	on:
	pull_request:
	types: [opened, synchronize]
	push:
	branches:
	- main

	jobs:
	integration_tests:
	name: ${{ matrix.python_version }} unit ${{matrix.command}} tests
	runs-on: ubuntu-latest
	strategy:
	fail-fast: false
	matrix:
	include:
	- python_version: "3.8"
	command: 'git-test-integration'

	steps:
	- name: Set up Python ${{ matrix.python_version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python_version }}
	- name: Checkout repository
	uses: actions/checkout@v3
	with:
	ref: ${{ github.event.pull_request.head.ref }}
	repository: ${{ github.event.pull_request.head.repo.full_name }}
	fetch-depth: 2
	- name: Update apt and install Graphviz
	run: sudo apt update && sudo apt install -y graphviz
	- name: Installing Dependencies
	run: \|
	pip install virtualenv
	virtualenv test_python -q
	source test_python/bin/activate
	make installdeps
	make installdeps-test
	pip freeze
	- name: Erase Coverage
	run: \|
	source test_python/bin/activate
	coverage erase
	- name: Run integration tests
	run: \|
	source test_python/bin/activate
	make ${{matrix.command}}
	- name: Upload pytest duration artifact
	uses: actions/upload-artifact@v2
	with:
	name: pytest-duration-report
	path: test-reports/${{matrix.command}}-junit.xml
	- name: install coverage
	run: pip install "coverage[toml]"
	- name: Upload coverage to Codecov
	uses: codecov/codecov-action@v3
	with:
	token: ${{ secrets.CODECOV_TOKEN }}
	fail_ci_if_error: true

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