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1 incorporate tests to GitHub actions (#2)
* add github conda workflow for test and release * compare to reference only if folder exists * consider reference folder as argument for pytest, use release zip as reference
1 parent b62cf18 commit 95a89bf

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name: Create and upload release
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on:
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push:
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tags:
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- 'v*'
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jobs:
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test-linux:
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runs-on: ubuntu-latest
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strategy:
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max-parallel: 5
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python 3.11.2
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uses: actions/setup-python@v3
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with:
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python-version: '3.11.2'
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- name: Add conda to system path
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run: |
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# $CONDA is an environment variable pointing to the root of the miniconda directory
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echo $CONDA/bin >> $GITHUB_PATH
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- name: Install dependencies
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run: |
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conda env update --file environment.yaml
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- name: Lint with flake8
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run: |
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conda install flake8
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# stop the build if there are Python syntax errors or undefined names
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flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
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# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
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flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
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- name: Test with pytest
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run: |
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source activate bemol
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pytest tests/ -vvs
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# store the latest run results as release artifact
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zip -r pytest-results.zip tests/results/
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- name: Create Release
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id: create_release
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uses: actions/create-release@v1
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with:
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tag_name: ${{ github.ref_name }}
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release_name: ${{ github.ref_name }}
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body: "Automated release."
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draft: false
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prerelease: false
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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- name: Upload to Release
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uses: actions/upload-release-asset@v1
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with:
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upload_url: ${{ steps.create_release.outputs.upload_url }}
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asset_path: pytest-results.zip
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asset_name: pytest-results.zip
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asset_content_type: application/zip
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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name: Python Package using Conda
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on: [push]
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jobs:
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test-linux:
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runs-on: ubuntu-latest
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strategy:
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max-parallel: 5
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python 3.11.2
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uses: actions/setup-python@v3
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with:
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python-version: '3.11.2'
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- name: Add conda to system path
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run: |
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# $CONDA is an environment variable pointing to the root of the miniconda directory
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echo $CONDA/bin >> $GITHUB_PATH
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- name: Install dependencies
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run: |
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conda env update --file environment.yaml
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conda install flake8
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- name: Lint with flake8
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run: |
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# stop the build if there are Python syntax errors or undefined names
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flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
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# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
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flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
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# TODO: conside the latest release, not a hardcoded one!
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- name: Get reference results
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run: |
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curl -L -o pytest-results.zip "https://github.com/ifpen/bemol/releases/download/v0.0.1/pytest-results.zip"
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unzip pytest-results.zip
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mv tests/results tests/ref/
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- name: Test with pytest
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run: |
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source activate bemol
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pytest tests/ -vvs --reference tests/ref/
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tests/conftest.py

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from pathlib import Path
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def pytest_addoption(parser):
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parser.addoption(
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'--reference',action='store',default=None,
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help='Folder with reference solution.'
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)
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def pytest_sessionstart(session):
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reference = session.config.getoption('--reference')
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if reference is not None:
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if not Path(reference).is_dir():
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raise ValueError(f'Reference folder {reference} does not exist!')
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session.config.reference = reference
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print('- Selected reference folder:',reference)
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tests/test_result.py

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@pytest.fixture(scope='module',autouse=True,)
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def reference_folder(request):
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# define the reference folder based on current folder
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test_path = request.path.parent
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reference_path = test_path / 'ref' / 'results_ref_2025-03-25'
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reference_path = request.config.reference
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return Path( reference_path ).resolve()
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results_folder = folder / name_run
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for new_filename in results_folder.glob('*.csv'):
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filename = new_filename.name
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new_data = pd.read_csv(new_filename)
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ref_filename = reference_folder / filename
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ref_data = pd.read_csv(ref_filename)
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pd.testing.assert_frame_equal(ref_data,new_data)
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new_data = pd.read_csv(new_filename)
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# only comparing if reference folder available
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if reference_folder.exists():
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ref_filename = reference_folder / name_run / filename
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ref_data = pd.read_csv(ref_filename)
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pd.testing.assert_frame_equal(ref_data,new_data)
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else:
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# for the moment just doing nothing if reference folder not
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# available! Make it at least a warning in the future.
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assert(True)

tests/test_unit.py

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# test definition of iea15mw rotor
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iea15 = bemol.rotor.iea15mw
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assert iea15.pitchRated == -0.06499140591234773
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assert iea15.pitchRated == 0.06499140591234773
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