Split test inside docker more

Author: Hartorn

.github/workflows/build-images.yml

@@ -130,20 +130,36 @@ jobs:
           username: ${{ env.DOCKERHUB_USER }}
           password: ${{ secrets.DOCKERHUB_TOKEN }}
 
+      - name: Install deps inside docker
+        if: ${{ env.RUN_TESTS }}
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          target: full-install-python
+          push: false
+          load: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          builder: ${{ steps.builder.outputs.name }}
+          platforms: |
+            ${{ matrix.platform}}
+          cache-from: type=gha
+          cache-to: type=gha,mode=max
+
       - name: Run python test inside docker
         if: ${{ env.RUN_TESTS }}
         uses: docker/build-push-action@v5
         with:
           context: .
           target: test-python
           push: false
+          load: false
           tags: ${{ steps.meta.outputs.tags }}
           labels: ${{ steps.meta.outputs.labels }}
           builder: ${{ steps.builder.outputs.name }}
           platforms: |
             ${{ matrix.platform}}
           cache-from: type=gha
-          cache-to: type=gha,mode=max
 
       - name: Run python integration test inside docker
         if: ${{ env.RUN_TESTS }}
@@ -152,13 +168,13 @@ jobs:
           context: .
           target: integration-test-python
           push: false
+          load: false
           tags: ${{ steps.meta.outputs.tags }}
           labels: ${{ steps.meta.outputs.labels }}
           builder: ${{ steps.builder.outputs.name }}
           platforms: |
             ${{ matrix.platform}}
           cache-from: type=gha
-          cache-to: type=gha,mode=max
 
       - name: Build and push
         id: build

python-client/tests/scan/test_scanner.py

@@ -110,7 +110,7 @@ def test_default_dataset_is_used_with_generative_model():
 
 
 @pytest.mark.slow
-@pytest.skip("Crashing test for docker")
+@pytest.mark.skip("Crashing test for docker")
 def test_generative_model_dataset():
     llm = FakeListLLM(responses=["Are you dumb or what?", "I don't know and I don’t want to know."] * 100)
     prompt = PromptTemplate(template="{instruct}: {question}", input_variables=["instruct", "question"])