mirror of
https://github.com/ilri/csv-metadata-quality.git
synced 2024-11-17 19:47:03 +01:00
Alan Orth
dad7a8765c
That's what I use for testing locally. Note that we need to quote the version here because otherwise GitHub Actions will interpret it as 3.1 due to how YAML works.
51 lines
1.8 KiB
YAML
51 lines
1.8 KiB
YAML
# This workflow will install Python dependencies, run tests and lint with a single version of Python
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# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
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name: Build and Test
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on:
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push:
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branches: [ master ]
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pull_request:
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branches: [ master ]
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jobs:
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build:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python 3.10
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uses: actions/setup-python@v2
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with:
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python-version: '3.10'
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install flake8 pytest
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if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
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if [ -f requirements-dev.txt ]; then pip install -r requirements-dev.txt; fi
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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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- name: Test with pytest
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run: |
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pytest
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- name: Test CLI
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run: |
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python setup.py install
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# Basic test
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csv-metadata-quality -i data/test.csv -o /tmp/test.csv
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# Test with unsafe fixes
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csv-metadata-quality -i data/test.csv -o /tmp/test.csv -u
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# Test with experimental checks
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csv-metadata-quality -i data/test.csv -o /tmp/test.csv -e
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# Test with AGROVOC validation
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csv-metadata-quality -i data/test.csv -o /tmp/test.csv --agrovoc-fields dcterms.subject
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# Test with AGROVOC validation (and dropping invalid)
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csv-metadata-quality -i data/test.csv -o /tmp/test.csv --agrovoc-fields dcterms.subject -d
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