# 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: Build and Test on: push: branches: [ master ] pull_request: branches: [ master ] jobs: build: runs-on: ubuntu-latest steps: - uses: actions/checkout@v2 - name: Set up Python 3.9 uses: actions/setup-python@v2 with: python-version: 3.9 - name: Install dependencies run: | python -m pip install --upgrade pip pip install flake8 pytest if [ -f requirements.txt ]; then pip install -r requirements.txt; fi if [ -f requirements-dev.txt ]; then pip install -r requirements-dev.txt; fi - name: Lint with flake8 run: | # stop the build if there are Python syntax errors or undefined names flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics - name: Test with pytest run: | pytest - name: Test CLI run: | python setup.py install # Basic test csv-metadata-quality -i data/test.csv -o /tmp/test.csv # Test with unsafe fixes csv-metadata-quality -i data/test.csv -o /tmp/test.csv -u # Test with experimental checks csv-metadata-quality -i data/test.csv -o /tmp/test.csv -e # Test with AGROVOC validation csv-metadata-quality -i data/test.csv -o /tmp/test.csv --agrovoc-fields dcterms.subject # Test with AGROVOC validation (and dropping invalid) csv-metadata-quality -i data/test.csv -o /tmp/test.csv --agrovoc-fields dcterms.subject -d