GHA: test python client connection

Signed-off-by: Isabella Basso do Amaral <idoamara@redhat.com>

.github/workflows/build-image-pr.yml

@@ -2,14 +2,14 @@ name: Test container image build and deployment
 on:
   pull_request:
     paths-ignore:
-      - 'LICENSE*'
-      - '**.gitignore'
-      - '**.md'
-      - '**.txt'
-      - '.github/ISSUE_TEMPLATE/**'
-      - '.github/dependabot.yml'
-      - 'docs/**'
-      - 'clients/python/**'
+      - "LICENSE*"
+      - "**.gitignore"
+      - "**.md"
+      - "**.txt"
+      - ".github/ISSUE_TEMPLATE/**"
+      - ".github/dependabot.yml"
+      - "docs/**"
+      - "clients/python/docs/**"
 env:
   IMG_ORG: kubeflow
   IMG_REPO: model-registry
@@ -61,3 +61,25 @@ jobs:
           kubectl wait --for=condition=available -n kubeflow deployment/model-registry-db --timeout=5m
           kubectl wait --for=condition=available -n kubeflow deployment/model-registry-deployment --timeout=5m
           kubectl logs -n kubeflow deployment/model-registry-deployment
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.10"
+      - name: Upgrade pip
+        run: |
+          pip install --constraint=.github/workflows/constraints.txt pip
+          pip --version
+      - name: Install Poetry
+        run: |
+          pipx install --pip-args=--constraint=${{ github.workspace }}/.github/workflows/constraints.txt poetry
+          poetry --version
+      - name: Build package
+        working-directory: clients/python
+        run: |
+          poetry build --ansi
+          pip install dist/*.whl
+      - name: Connect with Python client
+        run: |
+          kubectl port-forward -n kubeflow service/model-registry-service 9090:9090 &
+          sleep 5
+          python test/python/test_mr_conn.py localhost 9090

test/python/test_mr_conn.py

@@ -0,0 +1,27 @@
+from model_registry import ModelRegistry
+
+
+def main(server: str, port: int):
+    mr = ModelRegistry(server, port, author="test", is_secure=False)
+
+    model = mr.register_model(
+        "my-model",
+        "https://mybucket.uri/",
+        version="2.0.0",
+        model_format_name="onnx",
+        model_format_version="1",
+        storage_key="my-data-connection",
+        storage_path="path/to/model",
+        metadata={
+            "day": 1,
+            "split": "train",
+        },
+    )
+
+    assert model == mr.get_registered_model("my-model")
+
+
+if __name__ == "__main__":
+    import sys
+
+    main(sys.argv[1], int(sys.argv[2]))