.github/workflows: use rye in CI

Use rye instead of poetry in CI.

.github/workflows/python-app.yml

@@ -16,30 +16,26 @@ jobs:
 
     steps:
     - uses: actions/checkout@v4
-    - name: Install poetry
-      run: pipx install poetry
-    - uses: actions/setup-python@v5
+    - name: Install rye
+      uses: eifinger/setup-rye@v4
       with:
-        python-version: '3.11'
-        cache: 'poetry'
-    - run: poetry install
-    - name: Lint with flake8
+        version: 'latest'
+    - run: rye sync
+    - name: Lint
       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
+        rye lint
     - name: Test with pytest
-      run: poetry run pytest
+      run: rye test
     - name: Test CLI
       run: |
         # Basic test
-        poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv
+        rye 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
+        rye 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
+        rye 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
+        rye 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
+        rye run csv-metadata-quality -i data/test.csv -o /tmp/test.csv --agrovoc-fields dcterms.subject -d