Change docker-compose to docker compose in test actions

.github/workflows/unit-tests.yml

@@ -43,7 +43,7 @@ jobs:
       continue-on-error: true
 
     - name: Pull docker images
-      run: docker-compose -f docker-compose.test.yml pull
+      run: docker compose -f docker-compose.test.yml pull
 
     - uses: jpribyl/[email protected]
       continue-on-error: true
@@ -52,10 +52,10 @@ jobs:
       run: make -C docker
 
     - name: Build images
-      run: docker-compose -f docker-compose.test.yml build db test_runner
+      run: docker compose -f docker-compose.test.yml build db test_runner
 
     - name: Run tests
-      run: docker-compose -f docker-compose.test.yml run --rm test_runner python manage.py test --noinput --settings=freesound.test_settings
+      run: docker compose -f docker-compose.test.yml run --rm test_runner python manage.py test --noinput --settings=freesound.test_settings
 
     - name: Notify success
       uses: voxmedia/github-action-slack-notify-build@v1

sounds/management/commands/test_color_schemes.py

@@ -28,7 +28,7 @@
 from utils.audioprocessing import color_schemes
 
 
-# docker-compose run --rm web python manage.py test_color_schemes 415154,415144,413973,402737,403343,194761
+# docker compose run --rm web python manage.py test_color_schemes 415154,415144,413973,402737,403343,194761
 
 
 class Command(BaseCommand):

tagrecommendation/tagrecommendation_settings.py

@@ -51,7 +51,7 @@
 # all tag assingment information from freesound. Once this file exists and has some data, the
 # "update_tagrecommendation_data.py" script can be run and will generate the following files:
 # (if running in Docker environment, you can run the script like:
-# docker-compose run tagrecommendation  bash -c "cd /code; python update_tagrecommendation_data.py"
+# docker compose run tagrecommendation  bash -c "cd /code; python update_tagrecommendation_data.py"
 #
 # For every class used:
 #   [[DATABASE]]_[[CLASSNAME]]_SIMILARITY_MATRIX_cosine_SUBSET.npy