Merge pull request #88 from ssciwr/windows_comp

Added Windows to CI

.github/workflows/ci.yml

@@ -14,7 +14,7 @@ jobs:
     runs-on: ${{ matrix.os }}
     strategy:
       matrix:
-        os: [ubuntu-22.04]
+        os: [ubuntu-22.04,windows-latest]
         python-version: [3.9]
     steps:
     - name: Checkout repository
@@ -29,10 +29,16 @@ jobs:
         python -m pip install -e .
         python -m spacy download en_core_web_md
         python -m textblob.download_corpora
-    - name: Run pytest
+    - name: Run pytest linux (linux-only)
+      if: matrix.os == 'ubuntu-22.04'
       run: |
         cd ammico
         python -m pytest -m "not gcv and not long" -svv --cov=. --cov-report=xml
+    - name: Run pytest windows(windows-only)
+      if: matrix.os == 'windows-latest'
+      run: |
+        cd ammico
+        python -m pytest -m "not gcv and not long and not win_skip" -svv --cov=. --cov-report=xml
     - name: Upload coverage
       if: matrix.os == 'ubuntu-22.04' && matrix.python-version == '3.9'
       uses: codecov/codecov-action@v3

ammico/test/pytest.ini

@@ -1,4 +1,5 @@
 [pytest]
 markers =
     gcv: mark google cloud vision tests - skip to save money.
-    long: mark long running tests - skip to save compute resources.
+    long: mark long running tests - skip to save compute resources.
+    win_skip: mark tests that are skipped on windows.

ammico/test/test_summary.py

@@ -77,6 +77,7 @@ def test_analyse_image(get_dict):
         summary_vis_processors = None
 
 
+@pytest.mark.win_skip
 def test_analyse_questions(get_dict):
     list_of_questions = [
         "How many persons on the picture?",

ammico/test/test_text.py

@@ -116,6 +116,7 @@ def test_sentiment_analysis():
     assert test_obj.subdict["subjectivity"] == 0.6
 
 
+@pytest.mark.win_skip
 def test_text_summary(get_path):
     mydict = {}
     test_obj = tt.TextDetector(mydict, analyse_text=True)
@@ -137,6 +138,7 @@ def test_text_sentiment_transformers():
     assert mydict["sentiment_score"] == pytest.approx(0.99, 0.01)
 
 
+@pytest.mark.win_skip
 def test_text_ner():
     mydict = {}
     test_obj = tt.TextDetector(mydict, analyse_text=True)
@@ -146,6 +148,7 @@ def test_text_ner():
     assert mydict["entity_type"] == ["PER", "LOC"]
 
 
+@pytest.mark.win_skip
 def test_PostprocessText(set_testdict, get_path):
     reference_dict = "THE\nALGEBRAIC\nEIGENVALUE\nPROBLEM\nDOM\nNVS TIO\nMINA\nMonographs\non Numerical Analysis\nJ.. H. WILKINSON"
     reference_df = "Mathematische Formelsammlung\nfür Ingenieure und Naturwissenschaftler\nMit zahlreichen Abbildungen und Rechenbeispielen\nund einer ausführlichen Integraltafel\n3., verbesserte Auflage"