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csv-metadata-quality/.github/workflows/python-app.yml
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Update actions/setup-python action to v5
2023-12-06 13:13:11 +00:00

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YAML

# 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-22.04
steps:
- uses: actions/checkout@v4
- name: Install poetry
run: pipx install poetry
- uses: actions/setup-python@v5
with:
python-version: '3.11'
cache: 'poetry'
- run: poetry install
- name: Lint with flake8
run: |
# stop the build if there are Python syntax errors or undefined names
poetry run flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
poetry run flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
- name: Test with pytest
run: poetry run pytest
- name: Test CLI
run: |
# Basic test
poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv
# Test with unsafe fixes
poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv -u
# Test with experimental checks
poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv -e
# Test with AGROVOC validation
poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv --agrovoc-fields dcterms.subject
# Test with AGROVOC validation (and dropping invalid)
poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv --agrovoc-fields dcterms.subject -d